Life expectancy evolution in France

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# Life expectancy evolution in France
## ⚔ since 1816
### Corentin Guillaumet, Skandar Mabrouk & Lucas Veeravalli
### University of Paris
### December 14th 2021

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#Summary
- Evolution of mortality quotient since 1816
- How to obtain an estimation for the future
- Estimating life expectancies

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##I. Evolution of mortality quotient since 1816

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```r
plot1 <- life_table_fr_evol <- life_table %>% filter(Country =='France', Gender != "Both") %>%
 ggplot() +
 geom_line(mapping = aes(y= qx, col = Gender, x= Age)) +
 aes(frame = Year, text = qx) +
 theme(axis.text.x=element_text(angle=-45, hjust=0, vjust=1)) +xlab("Age") +ylab("Mortality quotient")+
 theme(plot.title=element_text(size=12, hjust=0.5, face="bold", colour="maroon", vjust=-1)) +
 theme(plot.subtitle=element_text(size=10, hjust=0.5, face="italic", color="black"))
```
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Gender: Male","Year: 1994 0.00114 Age: 19 qx: 0.00114 Gender: Male","Year: 1994 0.00123 Age: 20 qx: 0.00123 Gender: Male","Year: 1994 0.00144 Age: 21 qx: 0.00144 Gender: Male","Year: 1994 0.00141 Age: 22 qx: 0.00141 Gender: Male","Year: 1994 0.00142 Age: 23 qx: 0.00142 Gender: Male","Year: 1994 0.00143 Age: 24 qx: 0.00143 Gender: Male","Year: 1994 0.00148 Age: 25 qx: 0.00148 Gender: Male","Year: 1994 0.00148 Age: 26 qx: 0.00148 Gender: Male","Year: 1994 0.00153 Age: 27 qx: 0.00153 Gender: Male","Year: 1994 0.00170 Age: 28 qx: 0.00170 Gender: Male","Year: 1994 0.00185 Age: 29 qx: 0.00185 Gender: Male","Year: 1994 0.00195 Age: 30 qx: 0.00195 Gender: Male","Year: 1994 0.00185 Age: 31 qx: 0.00185 Gender: Male","Year: 1994 0.00195 Age: 32 qx: 0.00195 Gender: Male","Year: 1994 0.00200 Age: 33 qx: 0.00200 Gender: Male","Year: 1994 0.00214 Age: 34 qx: 0.00214 Gender: Male","Year: 1994 0.00236 Age: 35 qx: 0.00236 Gender: Male","Year: 1994 0.00234 Age: 36 qx: 0.00234 Gender: Male","Year: 1994 0.00259 Age: 37 qx: 0.00259 Gender: Male","Year: 1994 0.00259 Age: 38 qx: 0.00259 Gender: Male","Year: 1994 0.00273 Age: 39 qx: 0.00273 Gender: Male","Year: 1994 0.00307 Age: 40 qx: 0.00307 Gender: Male","Year: 1994 0.00325 Age: 41 qx: 0.00325 Gender: Male","Year: 1994 0.00336 Age: 42 qx: 0.00336 Gender: Male","Year: 1994 0.00364 Age: 43 qx: 0.00364 Gender: Male","Year: 1994 0.00401 Age: 44 qx: 0.00401 Gender: Male","Year: 1994 0.00437 Age: 45 qx: 0.00437 Gender: Male","Year: 1994 0.00455 Age: 46 qx: 0.00455 Gender: Male","Year: 1994 0.00497 Age: 47 qx: 0.00497 Gender: Male","Year: 1994 0.00564 Age: 48 qx: 0.00564 Gender: Male","Year: 1994 0.00586 Age: 49 qx: 0.00586 Gender: Male","Year: 1994 0.00649 Age: 50 qx: 0.00649 Gender: Male","Year: 1994 0.00661 Age: 51 qx: 0.00661 Gender: Male","Year: 1994 0.00717 Age: 52 qx: 0.00717 Gender: Male","Year: 1994 0.00761 Age: 53 qx: 0.00761 Gender: Male","Year: 1994 0.00830 Age: 54 qx: 0.00830 Gender: Male","Year: 1994 0.00908 Age: 55 qx: 0.00908 Gender: Male","Year: 1994 0.00995 Age: 56 qx: 0.00995 Gender: Male","Year: 1994 0.01032 Age: 57 qx: 0.01032 Gender: Male","Year: 1994 0.01164 Age: 58 qx: 0.01164 Gender: Male","Year: 1994 0.01242 Age: 59 qx: 0.01242 Gender: Male","Year: 1994 0.01344 Age: 60 qx: 0.01344 Gender: Male","Year: 1994 0.01476 Age: 61 qx: 0.01476 Gender: Male","Year: 1994 0.01596 Age: 62 qx: 0.01596 Gender: Male","Year: 1994 0.01802 Age: 63 qx: 0.01802 Gender: Male","Year: 1994 0.01901 Age: 64 qx: 0.01901 Gender: Male","Year: 1994 0.02007 Age: 65 qx: 0.02007 Gender: Male","Year: 1994 0.02183 Age: 66 qx: 0.02183 Gender: Male","Year: 1994 0.02358 Age: 67 qx: 0.02358 Gender: Male","Year: 1994 0.02541 Age: 68 qx: 0.02541 Gender: Male","Year: 1994 0.02755 Age: 69 qx: 0.02755 Gender: Male","Year: 1994 0.02911 Age: 70 qx: 0.02911 Gender: Male","Year: 1994 0.03170 Age: 71 qx: 0.03170 Gender: Male","Year: 1994 0.03429 Age: 72 qx: 0.03429 Gender: Male","Year: 1994 0.03773 Age: 73 qx: 0.03773 Gender: Male","Year: 1994 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Gender: Male","Year: 1994 0.25468 Age: 93 qx: 0.25468 Gender: Male","Year: 1994 0.27399 Age: 94 qx: 0.27399 Gender: Male","Year: 1994 0.28834 Age: 95 qx: 0.28834 Gender: Male","Year: 1994 0.30826 Age: 96 qx: 0.30826 Gender: Male","Year: 1994 0.32835 Age: 97 qx: 0.32835 Gender: Male","Year: 1994 0.34848 Age: 98 qx: 0.34848 Gender: Male","Year: 1994 0.36850 Age: 99 qx: 0.36850 Gender: Male","Year: 1994 0.38827 Age: 100 qx: 0.38827 Gender: Male","Year: 1994 0.40764 Age: 101 qx: 0.40764 Gender: Male","Year: 1994 0.42651 Age: 102 qx: 0.42651 Gender: Male","Year: 1994 0.44474 Age: 103 qx: 0.44474 Gender: Male","Year: 1994 0.46226 Age: 104 qx: 0.46226 Gender: Male","Year: 1994 0.47898 Age: 105 qx: 0.47898 Gender: Male","Year: 1994 0.49483 Age: 106 qx: 0.49483 Gender: Male","Year: 1994 0.50979 Age: 107 qx: 0.50979 Gender: Male","Year: 1994 0.52382 Age: 108 qx: 0.52382 Gender: Male","Year: 1994 0.53692 Age: 109 qx: 0.53692 Gender: 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1995 0.00445 Age: 0 qx: 0.00445 Gender: Female","Year: 1995 0.00051 Age: 1 qx: 0.00051 Gender: Female","Year: 1995 0.00023 Age: 2 qx: 0.00023 Gender: Female","Year: 1995 0.00021 Age: 3 qx: 0.00021 Gender: Female","Year: 1995 0.00018 Age: 4 qx: 0.00018 Gender: Female","Year: 1995 0.00013 Age: 5 qx: 0.00013 Gender: Female","Year: 1995 0.00015 Age: 6 qx: 0.00015 Gender: Female","Year: 1995 0.00012 Age: 7 qx: 0.00012 Gender: Female","Year: 1995 0.00014 Age: 8 qx: 0.00014 Gender: Female","Year: 1995 0.00012 Age: 9 qx: 0.00012 Gender: Female","Year: 1995 0.00009 Age: 10 qx: 0.00009 Gender: Female","Year: 1995 0.00018 Age: 11 qx: 0.00018 Gender: Female","Year: 1995 0.00018 Age: 12 qx: 0.00018 Gender: Female","Year: 1995 0.00014 Age: 13 qx: 0.00014 Gender: Female","Year: 1995 0.00019 Age: 14 qx: 0.00019 Gender: Female","Year: 1995 0.00022 Age: 15 qx: 0.00022 Gender: Female","Year: 1995 0.00026 Age: 16 qx: 0.00026 Gender: Female","Year: 1995 0.00033 Age: 17 qx: 0.00033 Gender: Female","Year: 1995 0.00037 Age: 18 qx: 0.00037 Gender: Female","Year: 1995 0.00042 Age: 19 qx: 0.00042 Gender: Female","Year: 1995 0.00041 Age: 20 qx: 0.00041 Gender: Female","Year: 1995 0.00041 Age: 21 qx: 0.00041 Gender: Female","Year: 1995 0.00045 Age: 22 qx: 0.00045 Gender: Female","Year: 1995 0.00046 Age: 23 qx: 0.00046 Gender: Female","Year: 1995 0.00045 Age: 24 qx: 0.00045 Gender: Female","Year: 1995 0.00049 Age: 25 qx: 0.00049 Gender: Female","Year: 1995 0.00048 Age: 26 qx: 0.00048 Gender: Female","Year: 1995 0.00056 Age: 27 qx: 0.00056 Gender: Female","Year: 1995 0.00056 Age: 28 qx: 0.00056 Gender: Female","Year: 1995 0.00063 Age: 29 qx: 0.00063 Gender: Female","Year: 1995 0.00071 Age: 30 qx: 0.00071 Gender: Female","Year: 1995 0.00065 Age: 31 qx: 0.00065 Gender: Female","Year: 1995 0.00077 Age: 32 qx: 0.00077 Gender: Female","Year: 1995 0.00080 Age: 33 qx: 0.00080 Gender: Female","Year: 1995 0.00079 Age: 34 qx: 0.00079 Gender: Female","Year: 1995 0.00091 Age: 35 qx: 0.00091 Gender: Female","Year: 1995 0.00088 Age: 36 qx: 0.00088 Gender: Female","Year: 1995 0.00097 Age: 37 qx: 0.00097 Gender: Female","Year: 1995 0.00108 Age: 38 qx: 0.00108 Gender: Female","Year: 1995 0.00124 Age: 39 qx: 0.00124 Gender: Female","Year: 1995 0.00133 Age: 40 qx: 0.00133 Gender: Female","Year: 1995 0.00139 Age: 41 qx: 0.00139 Gender: Female","Year: 1995 0.00140 Age: 42 qx: 0.00140 Gender: Female","Year: 1995 0.00162 Age: 43 qx: 0.00162 Gender: Female","Year: 1995 0.00167 Age: 44 qx: 0.00167 Gender: Female","Year: 1995 0.00174 Age: 45 qx: 0.00174 Gender: Female","Year: 1995 0.00191 Age: 46 qx: 0.00191 Gender: Female","Year: 1995 0.00218 Age: 47 qx: 0.00218 Gender: Female","Year: 1995 0.00224 Age: 48 qx: 0.00224 Gender: Female","Year: 1995 0.00246 Age: 49 qx: 0.00246 Gender: Female","Year: 1995 0.00269 Age: 50 qx: 0.00269 Gender: Female","Year: 1995 0.00271 Age: 51 qx: 0.00271 Gender: Female","Year: 1995 0.00286 Age: 52 qx: 0.00286 Gender: Female","Year: 1995 0.00314 Age: 53 qx: 0.00314 Gender: Female","Year: 1995 0.00321 Age: 54 qx: 0.00321 Gender: Female","Year: 1995 0.00355 Age: 55 qx: 0.00355 Gender: Female","Year: 1995 0.00366 Age: 56 qx: 0.00366 Gender: Female","Year: 1995 0.00413 Age: 57 qx: 0.00413 Gender: Female","Year: 1995 0.00425 Age: 58 qx: 0.00425 Gender: Female","Year: 1995 0.00467 Age: 59 qx: 0.00467 Gender: Female","Year: 1995 0.00523 Age: 60 qx: 0.00523 Gender: Female","Year: 1995 0.00571 Age: 61 qx: 0.00571 Gender: Female","Year: 1995 0.00624 Age: 62 qx: 0.00624 Gender: Female","Year: 1995 0.00657 Age: 63 qx: 0.00657 Gender: Female","Year: 1995 0.00690 Age: 64 qx: 0.00690 Gender: Female","Year: 1995 0.00786 Age: 65 qx: 0.00786 Gender: Female","Year: 1995 0.00907 Age: 66 qx: 0.00907 Gender: Female","Year: 1995 0.00961 Age: 67 qx: 0.00961 Gender: Female","Year: 1995 0.01036 Age: 68 qx: 0.01036 Gender: Female","Year: 1995 0.01131 Age: 69 qx: 0.01131 Gender: Female","Year: 1995 0.01224 Age: 70 qx: 0.01224 Gender: Female","Year: 1995 0.01379 Age: 71 qx: 0.01379 Gender: Female","Year: 1995 0.01573 Age: 72 qx: 0.01573 Gender: Female","Year: 1995 0.01738 Age: 73 qx: 0.01738 Gender: Female","Year: 1995 0.01994 Age: 74 qx: 0.01994 Gender: Female","Year: 1995 0.02226 Age: 75 qx: 0.02226 Gender: Female","Year: 1995 0.02452 Age: 76 qx: 0.02452 Gender: Female","Year: 1995 0.02840 Age: 77 qx: 0.02840 Gender: Female","Year: 1995 0.03278 Age: 78 qx: 0.03278 Gender: Female","Year: 1995 0.03739 Age: 79 qx: 0.03739 Gender: Female","Year: 1995 0.04157 Age: 80 qx: 0.04157 Gender: Female","Year: 1995 0.04723 Age: 81 qx: 0.04723 Gender: Female","Year: 1995 0.05351 Age: 82 qx: 0.05351 Gender: Female","Year: 1995 0.06354 Age: 83 qx: 0.06354 Gender: Female","Year: 1995 0.07023 Age: 84 qx: 0.07023 Gender: Female","Year: 1995 0.08119 Age: 85 qx: 0.08119 Gender: Female","Year: 1995 0.09242 Age: 86 qx: 0.09242 Gender: Female","Year: 1995 0.10568 Age: 87 qx: 0.10568 Gender: Female","Year: 1995 0.11893 Age: 88 qx: 0.11893 Gender: Female","Year: 1995 0.13153 Age: 89 qx: 0.13153 Gender: Female","Year: 1995 0.14640 Age: 90 qx: 0.14640 Gender: Female","Year: 1995 0.16000 Age: 91 qx: 0.16000 Gender: Female","Year: 1995 0.18167 Age: 92 qx: 0.18167 Gender: Female","Year: 1995 0.19788 Age: 93 qx: 0.19788 Gender: Female","Year: 1995 0.21716 Age: 94 qx: 0.21716 Gender: Female","Year: 1995 0.24098 Age: 95 qx: 0.24098 Gender: Female","Year: 1995 0.26314 Age: 96 qx: 0.26314 Gender: Female","Year: 1995 0.28598 Age: 97 qx: 0.28598 Gender: Female","Year: 1995 0.30928 Age: 98 qx: 0.30928 Gender: Female","Year: 1995 0.33281 Age: 99 qx: 0.33281 Gender: Female","Year: 1995 0.35636 Age: 100 qx: 0.35636 Gender: Female","Year: 1995 0.37967 Age: 101 qx: 0.37967 Gender: Female","Year: 1995 0.40253 Age: 102 qx: 0.40253 Gender: Female","Year: 1995 0.42473 Age: 103 qx: 0.42473 Gender: Female","Year: 1995 0.44609 Age: 104 qx: 0.44609 Gender: Female","Year: 1995 0.46645 Age: 105 qx: 0.46645 Gender: Female","Year: 1995 0.48569 Age: 106 qx: 0.48569 Gender: Female","Year: 1995 0.50373 Age: 107 qx: 0.50373 Gender: Female","Year: 1995 0.52051 Age: 108 qx: 0.52051 Gender: Female","Year: 1995 0.53602 Age: 109 qx: 0.53602 Gender: 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1995 0.00551 Age: 0 qx: 0.00551 Gender: Male","Year: 1995 0.00053 Age: 1 qx: 0.00053 Gender: Male","Year: 1995 0.00031 Age: 2 qx: 0.00031 Gender: Male","Year: 1995 0.00026 Age: 3 qx: 0.00026 Gender: Male","Year: 1995 0.00022 Age: 4 qx: 0.00022 Gender: Male","Year: 1995 0.00023 Age: 5 qx: 0.00023 Gender: Male","Year: 1995 0.00019 Age: 6 qx: 0.00019 Gender: Male","Year: 1995 0.00021 Age: 7 qx: 0.00021 Gender: Male","Year: 1995 0.00013 Age: 8 qx: 0.00013 Gender: Male","Year: 1995 0.00015 Age: 9 qx: 0.00015 Gender: Male","Year: 1995 0.00017 Age: 10 qx: 0.00017 Gender: Male","Year: 1995 0.00015 Age: 11 qx: 0.00015 Gender: Male","Year: 1995 0.00020 Age: 12 qx: 0.00020 Gender: Male","Year: 1995 0.00023 Age: 13 qx: 0.00023 Gender: Male","Year: 1995 0.00030 Age: 14 qx: 0.00030 Gender: Male","Year: 1995 0.00053 Age: 15 qx: 0.00053 Gender: Male","Year: 1995 0.00056 Age: 16 qx: 0.00056 Gender: Male","Year: 1995 0.00058 Age: 17 qx: 0.00058 Gender: Male","Year: 1995 0.00093 Age: 18 qx: 0.00093 Gender: Male","Year: 1995 0.00105 Age: 19 qx: 0.00105 Gender: Male","Year: 1995 0.00115 Age: 20 qx: 0.00115 Gender: Male","Year: 1995 0.00126 Age: 21 qx: 0.00126 Gender: Male","Year: 1995 0.00134 Age: 22 qx: 0.00134 Gender: Male","Year: 1995 0.00127 Age: 23 qx: 0.00127 Gender: Male","Year: 1995 0.00145 Age: 24 qx: 0.00145 Gender: Male","Year: 1995 0.00136 Age: 25 qx: 0.00136 Gender: Male","Year: 1995 0.00145 Age: 26 qx: 0.00145 Gender: Male","Year: 1995 0.00146 Age: 27 qx: 0.00146 Gender: Male","Year: 1995 0.00169 Age: 28 qx: 0.00169 Gender: Male","Year: 1995 0.00176 Age: 29 qx: 0.00176 Gender: Male","Year: 1995 0.00173 Age: 30 qx: 0.00173 Gender: Male","Year: 1995 0.00184 Age: 31 qx: 0.00184 Gender: Male","Year: 1995 0.00196 Age: 32 qx: 0.00196 Gender: Male","Year: 1995 0.00201 Age: 33 qx: 0.00201 Gender: Male","Year: 1995 0.00222 Age: 34 qx: 0.00222 Gender: Male","Year: 1995 0.00222 Age: 35 qx: 0.00222 Gender: Male","Year: 1995 0.00239 Age: 36 qx: 0.00239 Gender: Male","Year: 1995 0.00239 Age: 37 qx: 0.00239 Gender: Male","Year: 1995 0.00256 Age: 38 qx: 0.00256 Gender: Male","Year: 1995 0.00277 Age: 39 qx: 0.00277 Gender: Male","Year: 1995 0.00288 Age: 40 qx: 0.00288 Gender: Male","Year: 1995 0.00318 Age: 41 qx: 0.00318 Gender: Male","Year: 1995 0.00336 Age: 42 qx: 0.00336 Gender: Male","Year: 1995 0.00389 Age: 43 qx: 0.00389 Gender: Male","Year: 1995 0.00411 Age: 44 qx: 0.00411 Gender: Male","Year: 1995 0.00413 Age: 45 qx: 0.00413 Gender: Male","Year: 1995 0.00467 Age: 46 qx: 0.00467 Gender: Male","Year: 1995 0.00479 Age: 47 qx: 0.00479 Gender: Male","Year: 1995 0.00534 Age: 48 qx: 0.00534 Gender: Male","Year: 1995 0.00593 Age: 49 qx: 0.00593 Gender: Male","Year: 1995 0.00646 Age: 50 qx: 0.00646 Gender: Male","Year: 1995 0.00669 Age: 51 qx: 0.00669 Gender: Male","Year: 1995 0.00702 Age: 52 qx: 0.00702 Gender: Male","Year: 1995 0.00741 Age: 53 qx: 0.00741 Gender: Male","Year: 1995 0.00776 Age: 54 qx: 0.00776 Gender: Male","Year: 1995 0.00858 Age: 55 qx: 0.00858 Gender: Male","Year: 1995 0.00950 Age: 56 qx: 0.00950 Gender: Male","Year: 1995 0.01047 Age: 57 qx: 0.01047 Gender: Male","Year: 1995 0.01118 Age: 58 qx: 0.01118 Gender: Male","Year: 1995 0.01223 Age: 59 qx: 0.01223 Gender: Male","Year: 1995 0.01355 Age: 60 qx: 0.01355 Gender: Male","Year: 1995 0.01460 Age: 61 qx: 0.01460 Gender: Male","Year: 1995 0.01573 Age: 62 qx: 0.01573 Gender: Male","Year: 1995 0.01743 Age: 63 qx: 0.01743 Gender: Male","Year: 1995 0.01921 Age: 64 qx: 0.01921 Gender: Male","Year: 1995 0.02073 Age: 65 qx: 0.02073 Gender: Male","Year: 1995 0.02198 Age: 66 qx: 0.02198 Gender: Male","Year: 1995 0.02357 Age: 67 qx: 0.02357 Gender: Male","Year: 1995 0.02591 Age: 68 qx: 0.02591 Gender: Male","Year: 1995 0.02770 Age: 69 qx: 0.02770 Gender: Male","Year: 1995 0.02990 Age: 70 qx: 0.02990 Gender: Male","Year: 1995 0.03149 Age: 71 qx: 0.03149 Gender: Male","Year: 1995 0.03446 Age: 72 qx: 0.03446 Gender: Male","Year: 1995 0.03794 Age: 73 qx: 0.03794 Gender: Male","Year: 1995 0.04089 Age: 74 qx: 0.04089 Gender: Male","Year: 1995 0.04612 Age: 75 qx: 0.04612 Gender: Male","Year: 1995 0.04877 Age: 76 qx: 0.04877 Gender: Male","Year: 1995 0.05565 Age: 77 qx: 0.05565 Gender: Male","Year: 1995 0.06175 Age: 78 qx: 0.06175 Gender: Male","Year: 1995 0.06833 Age: 79 qx: 0.06833 Gender: Male","Year: 1995 0.07526 Age: 80 qx: 0.07526 Gender: Male","Year: 1995 0.08016 Age: 81 qx: 0.08016 Gender: Male","Year: 1995 0.09090 Age: 82 qx: 0.09090 Gender: Male","Year: 1995 0.10140 Age: 83 qx: 0.10140 Gender: Male","Year: 1995 0.11196 Age: 84 qx: 0.11196 Gender: Male","Year: 1995 0.12414 Age: 85 qx: 0.12414 Gender: Male","Year: 1995 0.13747 Age: 86 qx: 0.13747 Gender: Male","Year: 1995 0.15014 Age: 87 qx: 0.15014 Gender: Male","Year: 1995 0.16867 Age: 88 qx: 0.16867 Gender: Male","Year: 1995 0.17999 Age: 89 qx: 0.17999 Gender: Male","Year: 1995 0.19748 Age: 90 qx: 0.19748 Gender: Male","Year: 1995 0.21664 Age: 91 qx: 0.21664 Gender: Male","Year: 1995 0.23693 Age: 92 qx: 0.23693 Gender: Male","Year: 1995 0.25817 Age: 93 qx: 0.25817 Gender: Male","Year: 1995 0.27583 Age: 94 qx: 0.27583 Gender: Male","Year: 1995 0.29445 Age: 95 qx: 0.29445 Gender: Male","Year: 1995 0.31492 Age: 96 qx: 0.31492 Gender: Male","Year: 1995 0.33554 Age: 97 qx: 0.33554 Gender: Male","Year: 1995 0.35614 Age: 98 qx: 0.35614 Gender: Male","Year: 1995 0.37657 Age: 99 qx: 0.37657 Gender: Male","Year: 1995 0.39667 Age: 100 qx: 0.39667 Gender: Male","Year: 1995 0.41631 Age: 101 qx: 0.41631 Gender: Male","Year: 1995 0.43535 Age: 102 qx: 0.43535 Gender: Male","Year: 1995 0.45368 Age: 103 qx: 0.45368 Gender: Male","Year: 1995 0.47121 Age: 104 qx: 0.47121 Gender: Male","Year: 1995 0.48787 Age: 105 qx: 0.48787 Gender: Male","Year: 1995 0.50360 Age: 106 qx: 0.50360 Gender: Male","Year: 1995 0.51837 Age: 107 qx: 0.51837 Gender: Male","Year: 1995 0.53215 Age: 108 qx: 0.53215 Gender: Male","Year: 1995 0.54496 Age: 109 qx: 0.54496 Gender: Male"],"frame":"1995","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Male","legendgroup":"Male","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"1996","data":[{"x":[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109],"y":[0.00419,0.0004,0.00022,0.00016,0.00017,0.00015,0.00013,0.00012,0.00014,0.00011,0.00011,0.00012,0.00014,0.00011,0.00016,0.00026,0.00023,0.00027,0.00034,0.00034,0.0004,0.00043,0.00044,0.00039,0.00044,0.00041,0.00053,0.00052,0.00047,0.00056,0.00062,0.00069,0.00069,0.00078,0.00079,0.00089,0.00091,0.00104,0.00106,0.00116,0.00121,0.00131,0.00145,0.00153,0.00168,0.00177,0.00188,0.0021,0.0021,0.00251,0.0025,0.00288,0.00302,0.00314,0.00319,0.00331,0.00397,0.00416,0.0044,0.0048,0.00516,0.00549,0.00601,0.00644,0.0071,0.00801,0.00831,0.0093,0.01042,0.01096,0.0128,0.01359,0.01534,0.01764,0.01983,0.02177,0.02411,0.02799,0.03197,0.036,0.04256,0.04643,0.05412,0.06112,0.07026,0.08087,0.09083,0.10236,0.11785,0.13086,0.14789,0.16687,0.1815,0.19947,0.21797,0.24134,0.26367,0.28666,0.31011,0.3338,0.35749,0.38093,0.4039,0.42619,0.44761,0.46802,0.48728,0.50533,0.52209,0.53756],"text":["Year: 1996 0.00419 Age: 0 qx: 0.00419 Gender: Female","Year: 1996 0.00040 Age: 1 qx: 0.00040 Gender: Female","Year: 1996 0.00022 Age: 2 qx: 0.00022 Gender: Female","Year: 1996 0.00016 Age: 3 qx: 0.00016 Gender: Female","Year: 1996 0.00017 Age: 4 qx: 0.00017 Gender: Female","Year: 1996 0.00015 Age: 5 qx: 0.00015 Gender: Female","Year: 1996 0.00013 Age: 6 qx: 0.00013 Gender: Female","Year: 1996 0.00012 Age: 7 qx: 0.00012 Gender: Female","Year: 1996 0.00014 Age: 8 qx: 0.00014 Gender: Female","Year: 1996 0.00011 Age: 9 qx: 0.00011 Gender: Female","Year: 1996 0.00011 Age: 10 qx: 0.00011 Gender: Female","Year: 1996 0.00012 Age: 11 qx: 0.00012 Gender: Female","Year: 1996 0.00014 Age: 12 qx: 0.00014 Gender: Female","Year: 1996 0.00011 Age: 13 qx: 0.00011 Gender: Female","Year: 1996 0.00016 Age: 14 qx: 0.00016 Gender: Female","Year: 1996 0.00026 Age: 15 qx: 0.00026 Gender: Female","Year: 1996 0.00023 Age: 16 qx: 0.00023 Gender: Female","Year: 1996 0.00027 Age: 17 qx: 0.00027 Gender: Female","Year: 1996 0.00034 Age: 18 qx: 0.00034 Gender: Female","Year: 1996 0.00034 Age: 19 qx: 0.00034 Gender: Female","Year: 1996 0.00040 Age: 20 qx: 0.00040 Gender: Female","Year: 1996 0.00043 Age: 21 qx: 0.00043 Gender: Female","Year: 1996 0.00044 Age: 22 qx: 0.00044 Gender: Female","Year: 1996 0.00039 Age: 23 qx: 0.00039 Gender: Female","Year: 1996 0.00044 Age: 24 qx: 0.00044 Gender: Female","Year: 1996 0.00041 Age: 25 qx: 0.00041 Gender: Female","Year: 1996 0.00053 Age: 26 qx: 0.00053 Gender: Female","Year: 1996 0.00052 Age: 27 qx: 0.00052 Gender: Female","Year: 1996 0.00047 Age: 28 qx: 0.00047 Gender: Female","Year: 1996 0.00056 Age: 29 qx: 0.00056 Gender: Female","Year: 1996 0.00062 Age: 30 qx: 0.00062 Gender: Female","Year: 1996 0.00069 Age: 31 qx: 0.00069 Gender: Female","Year: 1996 0.00069 Age: 32 qx: 0.00069 Gender: Female","Year: 1996 0.00078 Age: 33 qx: 0.00078 Gender: Female","Year: 1996 0.00079 Age: 34 qx: 0.00079 Gender: Female","Year: 1996 0.00089 Age: 35 qx: 0.00089 Gender: Female","Year: 1996 0.00091 Age: 36 qx: 0.00091 Gender: Female","Year: 1996 0.00104 Age: 37 qx: 0.00104 Gender: Female","Year: 1996 0.00106 Age: 38 qx: 0.00106 Gender: Female","Year: 1996 0.00116 Age: 39 qx: 0.00116 Gender: Female","Year: 1996 0.00121 Age: 40 qx: 0.00121 Gender: Female","Year: 1996 0.00131 Age: 41 qx: 0.00131 Gender: Female","Year: 1996 0.00145 Age: 42 qx: 0.00145 Gender: Female","Year: 1996 0.00153 Age: 43 qx: 0.00153 Gender: Female","Year: 1996 0.00168 Age: 44 qx: 0.00168 Gender: Female","Year: 1996 0.00177 Age: 45 qx: 0.00177 Gender: Female","Year: 1996 0.00188 Age: 46 qx: 0.00188 Gender: Female","Year: 1996 0.00210 Age: 47 qx: 0.00210 Gender: Female","Year: 1996 0.00210 Age: 48 qx: 0.00210 Gender: Female","Year: 1996 0.00251 Age: 49 qx: 0.00251 Gender: Female","Year: 1996 0.00250 Age: 50 qx: 0.00250 Gender: Female","Year: 1996 0.00288 Age: 51 qx: 0.00288 Gender: Female","Year: 1996 0.00302 Age: 52 qx: 0.00302 Gender: Female","Year: 1996 0.00314 Age: 53 qx: 0.00314 Gender: Female","Year: 1996 0.00319 Age: 54 qx: 0.00319 Gender: Female","Year: 1996 0.00331 Age: 55 qx: 0.00331 Gender: Female","Year: 1996 0.00397 Age: 56 qx: 0.00397 Gender: Female","Year: 1996 0.00416 Age: 57 qx: 0.00416 Gender: Female","Year: 1996 0.00440 Age: 58 qx: 0.00440 Gender: Female","Year: 1996 0.00480 Age: 59 qx: 0.00480 Gender: Female","Year: 1996 0.00516 Age: 60 qx: 0.00516 Gender: Female","Year: 1996 0.00549 Age: 61 qx: 0.00549 Gender: Female","Year: 1996 0.00601 Age: 62 qx: 0.00601 Gender: Female","Year: 1996 0.00644 Age: 63 qx: 0.00644 Gender: Female","Year: 1996 0.00710 Age: 64 qx: 0.00710 Gender: Female","Year: 1996 0.00801 Age: 65 qx: 0.00801 Gender: Female","Year: 1996 0.00831 Age: 66 qx: 0.00831 Gender: Female","Year: 1996 0.00930 Age: 67 qx: 0.00930 Gender: Female","Year: 1996 0.01042 Age: 68 qx: 0.01042 Gender: Female","Year: 1996 0.01096 Age: 69 qx: 0.01096 Gender: Female","Year: 1996 0.01280 Age: 70 qx: 0.01280 Gender: Female","Year: 1996 0.01359 Age: 71 qx: 0.01359 Gender: Female","Year: 1996 0.01534 Age: 72 qx: 0.01534 Gender: Female","Year: 1996 0.01764 Age: 73 qx: 0.01764 Gender: Female","Year: 1996 0.01983 Age: 74 qx: 0.01983 Gender: Female","Year: 1996 0.02177 Age: 75 qx: 0.02177 Gender: Female","Year: 1996 0.02411 Age: 76 qx: 0.02411 Gender: Female","Year: 1996 0.02799 Age: 77 qx: 0.02799 Gender: Female","Year: 1996 0.03197 Age: 78 qx: 0.03197 Gender: Female","Year: 1996 0.03600 Age: 79 qx: 0.03600 Gender: Female","Year: 1996 0.04256 Age: 80 qx: 0.04256 Gender: Female","Year: 1996 0.04643 Age: 81 qx: 0.04643 Gender: Female","Year: 1996 0.05412 Age: 82 qx: 0.05412 Gender: Female","Year: 1996 0.06112 Age: 83 qx: 0.06112 Gender: Female","Year: 1996 0.07026 Age: 84 qx: 0.07026 Gender: Female","Year: 1996 0.08087 Age: 85 qx: 0.08087 Gender: Female","Year: 1996 0.09083 Age: 86 qx: 0.09083 Gender: Female","Year: 1996 0.10236 Age: 87 qx: 0.10236 Gender: Female","Year: 1996 0.11785 Age: 88 qx: 0.11785 Gender: Female","Year: 1996 0.13086 Age: 89 qx: 0.13086 Gender: Female","Year: 1996 0.14789 Age: 90 qx: 0.14789 Gender: Female","Year: 1996 0.16687 Age: 91 qx: 0.16687 Gender: Female","Year: 1996 0.18150 Age: 92 qx: 0.18150 Gender: Female","Year: 1996 0.19947 Age: 93 qx: 0.19947 Gender: Female","Year: 1996 0.21797 Age: 94 qx: 0.21797 Gender: Female","Year: 1996 0.24134 Age: 95 qx: 0.24134 Gender: Female","Year: 1996 0.26367 Age: 96 qx: 0.26367 Gender: Female","Year: 1996 0.28666 Age: 97 qx: 0.28666 Gender: Female","Year: 1996 0.31011 Age: 98 qx: 0.31011 Gender: Female","Year: 1996 0.33380 Age: 99 qx: 0.33380 Gender: Female","Year: 1996 0.35749 Age: 100 qx: 0.35749 Gender: Female","Year: 1996 0.38093 Age: 101 qx: 0.38093 Gender: Female","Year: 1996 0.40390 Age: 102 qx: 0.40390 Gender: Female","Year: 1996 0.42619 Age: 103 qx: 0.42619 Gender: Female","Year: 1996 0.44761 Age: 104 qx: 0.44761 Gender: Female","Year: 1996 0.46802 Age: 105 qx: 0.46802 Gender: Female","Year: 1996 0.48728 Age: 106 qx: 0.48728 Gender: Female","Year: 1996 0.50533 Age: 107 qx: 0.50533 Gender: Female","Year: 1996 0.52209 Age: 108 qx: 0.52209 Gender: Female","Year: 1996 0.53756 Age: 109 qx: 0.53756 Gender: 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1996 0.00544 Age: 0 qx: 0.00544 Gender: Male","Year: 1996 0.00051 Age: 1 qx: 0.00051 Gender: Male","Year: 1996 0.00035 Age: 2 qx: 0.00035 Gender: Male","Year: 1996 0.00023 Age: 3 qx: 0.00023 Gender: Male","Year: 1996 0.00020 Age: 4 qx: 0.00020 Gender: Male","Year: 1996 0.00015 Age: 5 qx: 0.00015 Gender: Male","Year: 1996 0.00019 Age: 6 qx: 0.00019 Gender: Male","Year: 1996 0.00016 Age: 7 qx: 0.00016 Gender: Male","Year: 1996 0.00018 Age: 8 qx: 0.00018 Gender: Male","Year: 1996 0.00016 Age: 9 qx: 0.00016 Gender: Male","Year: 1996 0.00017 Age: 10 qx: 0.00017 Gender: Male","Year: 1996 0.00017 Age: 11 qx: 0.00017 Gender: Male","Year: 1996 0.00019 Age: 12 qx: 0.00019 Gender: Male","Year: 1996 0.00026 Age: 13 qx: 0.00026 Gender: Male","Year: 1996 0.00034 Age: 14 qx: 0.00034 Gender: Male","Year: 1996 0.00043 Age: 15 qx: 0.00043 Gender: Male","Year: 1996 0.00052 Age: 16 qx: 0.00052 Gender: Male","Year: 1996 0.00071 Age: 17 qx: 0.00071 Gender: Male","Year: 1996 0.00092 Age: 18 qx: 0.00092 Gender: Male","Year: 1996 0.00109 Age: 19 qx: 0.00109 Gender: Male","Year: 1996 0.00105 Age: 20 qx: 0.00105 Gender: Male","Year: 1996 0.00116 Age: 21 qx: 0.00116 Gender: Male","Year: 1996 0.00132 Age: 22 qx: 0.00132 Gender: Male","Year: 1996 0.00122 Age: 23 qx: 0.00122 Gender: Male","Year: 1996 0.00123 Age: 24 qx: 0.00123 Gender: Male","Year: 1996 0.00129 Age: 25 qx: 0.00129 Gender: Male","Year: 1996 0.00132 Age: 26 qx: 0.00132 Gender: Male","Year: 1996 0.00135 Age: 27 qx: 0.00135 Gender: Male","Year: 1996 0.00147 Age: 28 qx: 0.00147 Gender: Male","Year: 1996 0.00145 Age: 29 qx: 0.00145 Gender: Male","Year: 1996 0.00160 Age: 30 qx: 0.00160 Gender: Male","Year: 1996 0.00169 Age: 31 qx: 0.00169 Gender: Male","Year: 1996 0.00159 Age: 32 qx: 0.00159 Gender: Male","Year: 1996 0.00179 Age: 33 qx: 0.00179 Gender: Male","Year: 1996 0.00197 Age: 34 qx: 0.00197 Gender: Male","Year: 1996 0.00211 Age: 35 qx: 0.00211 Gender: Male","Year: 1996 0.00222 Age: 36 qx: 0.00222 Gender: Male","Year: 1996 0.00231 Age: 37 qx: 0.00231 Gender: Male","Year: 1996 0.00232 Age: 38 qx: 0.00232 Gender: Male","Year: 1996 0.00253 Age: 39 qx: 0.00253 Gender: Male","Year: 1996 0.00291 Age: 40 qx: 0.00291 Gender: Male","Year: 1996 0.00320 Age: 41 qx: 0.00320 Gender: Male","Year: 1996 0.00348 Age: 42 qx: 0.00348 Gender: Male","Year: 1996 0.00361 Age: 43 qx: 0.00361 Gender: Male","Year: 1996 0.00372 Age: 44 qx: 0.00372 Gender: Male","Year: 1996 0.00428 Age: 45 qx: 0.00428 Gender: Male","Year: 1996 0.00443 Age: 46 qx: 0.00443 Gender: Male","Year: 1996 0.00466 Age: 47 qx: 0.00466 Gender: Male","Year: 1996 0.00507 Age: 48 qx: 0.00507 Gender: Male","Year: 1996 0.00567 Age: 49 qx: 0.00567 Gender: Male","Year: 1996 0.00600 Age: 50 qx: 0.00600 Gender: Male","Year: 1996 0.00658 Age: 51 qx: 0.00658 Gender: Male","Year: 1996 0.00686 Age: 52 qx: 0.00686 Gender: Male","Year: 1996 0.00767 Age: 53 qx: 0.00767 Gender: Male","Year: 1996 0.00805 Age: 54 qx: 0.00805 Gender: Male","Year: 1996 0.00875 Age: 55 qx: 0.00875 Gender: Male","Year: 1996 0.00924 Age: 56 qx: 0.00924 Gender: Male","Year: 1996 0.01018 Age: 57 qx: 0.01018 Gender: Male","Year: 1996 0.01120 Age: 58 qx: 0.01120 Gender: Male","Year: 1996 0.01229 Age: 59 qx: 0.01229 Gender: Male","Year: 1996 0.01330 Age: 60 qx: 0.01330 Gender: Male","Year: 1996 0.01462 Age: 61 qx: 0.01462 Gender: Male","Year: 1996 0.01572 Age: 62 qx: 0.01572 Gender: Male","Year: 1996 0.01728 Age: 63 qx: 0.01728 Gender: Male","Year: 1996 0.01814 Age: 64 qx: 0.01814 Gender: Male","Year: 1996 0.02042 Age: 65 qx: 0.02042 Gender: Male","Year: 1996 0.02161 Age: 66 qx: 0.02161 Gender: Male","Year: 1996 0.02356 Age: 67 qx: 0.02356 Gender: Male","Year: 1996 0.02568 Age: 68 qx: 0.02568 Gender: Male","Year: 1996 0.02783 Age: 69 qx: 0.02783 Gender: Male","Year: 1996 0.02928 Age: 70 qx: 0.02928 Gender: Male","Year: 1996 0.03233 Age: 71 qx: 0.03233 Gender: Male","Year: 1996 0.03550 Age: 72 qx: 0.03550 Gender: Male","Year: 1996 0.03818 Age: 73 qx: 0.03818 Gender: Male","Year: 1996 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Gender: Female","Year: 1997 0.00332 Age: 54 qx: 0.00332 Gender: Female","Year: 1997 0.00354 Age: 55 qx: 0.00354 Gender: Female","Year: 1997 0.00378 Age: 56 qx: 0.00378 Gender: Female","Year: 1997 0.00388 Age: 57 qx: 0.00388 Gender: Female","Year: 1997 0.00430 Age: 58 qx: 0.00430 Gender: Female","Year: 1997 0.00449 Age: 59 qx: 0.00449 Gender: Female","Year: 1997 0.00495 Age: 60 qx: 0.00495 Gender: Female","Year: 1997 0.00535 Age: 61 qx: 0.00535 Gender: Female","Year: 1997 0.00570 Age: 62 qx: 0.00570 Gender: Female","Year: 1997 0.00625 Age: 63 qx: 0.00625 Gender: Female","Year: 1997 0.00682 Age: 64 qx: 0.00682 Gender: Female","Year: 1997 0.00760 Age: 65 qx: 0.00760 Gender: Female","Year: 1997 0.00841 Age: 66 qx: 0.00841 Gender: Female","Year: 1997 0.00928 Age: 67 qx: 0.00928 Gender: Female","Year: 1997 0.01012 Age: 68 qx: 0.01012 Gender: Female","Year: 1997 0.01122 Age: 69 qx: 0.01122 Gender: Female","Year: 1997 0.01226 Age: 70 qx: 0.01226 Gender: Female","Year: 1997 0.01304 Age: 71 qx: 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89 qx: 0.13056 Gender: Female","Year: 1997 0.14477 Age: 90 qx: 0.14477 Gender: Female","Year: 1997 0.16057 Age: 91 qx: 0.16057 Gender: Female","Year: 1997 0.17893 Age: 92 qx: 0.17893 Gender: Female","Year: 1997 0.19582 Age: 93 qx: 0.19582 Gender: Female","Year: 1997 0.21675 Age: 94 qx: 0.21675 Gender: Female","Year: 1997 0.23832 Age: 95 qx: 0.23832 Gender: Female","Year: 1997 0.26059 Age: 96 qx: 0.26059 Gender: Female","Year: 1997 0.28357 Age: 97 qx: 0.28357 Gender: Female","Year: 1997 0.30704 Age: 98 qx: 0.30704 Gender: Female","Year: 1997 0.33077 Age: 99 qx: 0.33077 Gender: Female","Year: 1997 0.35454 Age: 100 qx: 0.35454 Gender: Female","Year: 1997 0.37808 Age: 101 qx: 0.37808 Gender: Female","Year: 1997 0.40118 Age: 102 qx: 0.40118 Gender: Female","Year: 1997 0.42362 Age: 103 qx: 0.42362 Gender: Female","Year: 1997 0.44521 Age: 104 qx: 0.44521 Gender: Female","Year: 1997 0.46579 Age: 105 qx: 0.46579 Gender: Female","Year: 1997 0.48524 Age: 106 qx: 0.48524 Gender: Female","Year: 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0.00206 Age: 37 qx: 0.00206 Gender: Male","Year: 1997 0.00222 Age: 38 qx: 0.00222 Gender: Male","Year: 1997 0.00248 Age: 39 qx: 0.00248 Gender: Male","Year: 1997 0.00253 Age: 40 qx: 0.00253 Gender: Male","Year: 1997 0.00293 Age: 41 qx: 0.00293 Gender: Male","Year: 1997 0.00320 Age: 42 qx: 0.00320 Gender: Male","Year: 1997 0.00352 Age: 43 qx: 0.00352 Gender: Male","Year: 1997 0.00372 Age: 44 qx: 0.00372 Gender: Male","Year: 1997 0.00399 Age: 45 qx: 0.00399 Gender: Male","Year: 1997 0.00438 Age: 46 qx: 0.00438 Gender: Male","Year: 1997 0.00476 Age: 47 qx: 0.00476 Gender: Male","Year: 1997 0.00507 Age: 48 qx: 0.00507 Gender: Male","Year: 1997 0.00567 Age: 49 qx: 0.00567 Gender: Male","Year: 1997 0.00593 Age: 50 qx: 0.00593 Gender: Male","Year: 1997 0.00624 Age: 51 qx: 0.00624 Gender: Male","Year: 1997 0.00670 Age: 52 qx: 0.00670 Gender: Male","Year: 1997 0.00744 Age: 53 qx: 0.00744 Gender: Male","Year: 1997 0.00780 Age: 54 qx: 0.00780 Gender: Male","Year: 1997 0.00841 Age: 55 qx: 0.00841 Gender: Male","Year: 1997 0.00918 Age: 56 qx: 0.00918 Gender: Male","Year: 1997 0.00959 Age: 57 qx: 0.00959 Gender: Male","Year: 1997 0.01090 Age: 58 qx: 0.01090 Gender: Male","Year: 1997 0.01189 Age: 59 qx: 0.01189 Gender: Male","Year: 1997 0.01252 Age: 60 qx: 0.01252 Gender: Male","Year: 1997 0.01385 Age: 61 qx: 0.01385 Gender: Male","Year: 1997 0.01523 Age: 62 qx: 0.01523 Gender: Male","Year: 1997 0.01664 Age: 63 qx: 0.01664 Gender: Male","Year: 1997 0.01788 Age: 64 qx: 0.01788 Gender: Male","Year: 1997 0.01926 Age: 65 qx: 0.01926 Gender: Male","Year: 1997 0.02064 Age: 66 qx: 0.02064 Gender: Male","Year: 1997 0.02331 Age: 67 qx: 0.02331 Gender: Male","Year: 1997 0.02437 Age: 68 qx: 0.02437 Gender: Male","Year: 1997 0.02694 Age: 69 qx: 0.02694 Gender: Male","Year: 1997 0.02933 Age: 70 qx: 0.02933 Gender: Male","Year: 1997 0.03181 Age: 71 qx: 0.03181 Gender: Male","Year: 1997 0.03463 Age: 72 qx: 0.03463 Gender: Male","Year: 1997 0.03761 Age: 73 qx: 0.03761 Gender: Male","Year: 1997 0.04007 Age: 74 qx: 0.04007 Gender: Male","Year: 1997 0.04427 Age: 75 qx: 0.04427 Gender: Male","Year: 1997 0.04758 Age: 76 qx: 0.04758 Gender: Male","Year: 1997 0.05256 Age: 77 qx: 0.05256 Gender: Male","Year: 1997 0.05928 Age: 78 qx: 0.05928 Gender: Male","Year: 1997 0.06467 Age: 79 qx: 0.06467 Gender: Male","Year: 1997 0.07241 Age: 80 qx: 0.07241 Gender: Male","Year: 1997 0.08191 Age: 81 qx: 0.08191 Gender: Male","Year: 1997 0.08938 Age: 82 qx: 0.08938 Gender: Male","Year: 1997 0.09816 Age: 83 qx: 0.09816 Gender: Male","Year: 1997 0.10756 Age: 84 qx: 0.10756 Gender: Male","Year: 1997 0.11992 Age: 85 qx: 0.11992 Gender: Male","Year: 1997 0.13260 Age: 86 qx: 0.13260 Gender: Male","Year: 1997 0.14640 Age: 87 qx: 0.14640 Gender: Male","Year: 1997 0.16310 Age: 88 qx: 0.16310 Gender: Male","Year: 1997 0.18331 Age: 89 qx: 0.18331 Gender: Male","Year: 1997 0.19603 Age: 90 qx: 0.19603 Gender: Male","Year: 1997 0.22035 Age: 91 qx: 0.22035 Gender: Male","Year: 1997 0.23538 Age: 92 qx: 0.23538 Gender: Male","Year: 1997 0.24857 Age: 93 qx: 0.24857 Gender: Male","Year: 1997 0.28416 Age: 94 qx: 0.28416 Gender: Male","Year: 1997 0.29359 Age: 95 qx: 0.29359 Gender: Male","Year: 1997 0.31441 Age: 96 qx: 0.31441 Gender: Male","Year: 1997 0.33539 Age: 97 qx: 0.33539 Gender: Male","Year: 1997 0.35634 Age: 98 qx: 0.35634 Gender: Male","Year: 1997 0.37712 Age: 99 qx: 0.37712 Gender: Male","Year: 1997 0.39756 Age: 100 qx: 0.39756 Gender: Male","Year: 1997 0.41750 Age: 101 qx: 0.41750 Gender: Male","Year: 1997 0.43682 Age: 102 qx: 0.43682 Gender: Male","Year: 1997 0.45541 Age: 103 qx: 0.45541 Gender: Male","Year: 1997 0.47315 Age: 104 qx: 0.47315 Gender: Male","Year: 1997 0.48998 Age: 105 qx: 0.48998 Gender: Male","Year: 1997 0.50585 Age: 106 qx: 0.50585 Gender: Male","Year: 1997 0.52072 Age: 107 qx: 0.52072 Gender: Male","Year: 1997 0.53457 Age: 108 qx: 0.53457 Gender: Male","Year: 1997 0.54740 Age: 109 qx: 0.54740 Gender: 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1998 0.00424 Age: 0 qx: 0.00424 Gender: Female","Year: 1998 0.00031 Age: 1 qx: 0.00031 Gender: Female","Year: 1998 0.00023 Age: 2 qx: 0.00023 Gender: Female","Year: 1998 0.00015 Age: 3 qx: 0.00015 Gender: Female","Year: 1998 0.00010 Age: 4 qx: 0.00010 Gender: Female","Year: 1998 0.00015 Age: 5 qx: 0.00015 Gender: Female","Year: 1998 0.00012 Age: 6 qx: 0.00012 Gender: Female","Year: 1998 0.00012 Age: 7 qx: 0.00012 Gender: Female","Year: 1998 0.00014 Age: 8 qx: 0.00014 Gender: Female","Year: 1998 0.00010 Age: 9 qx: 0.00010 Gender: Female","Year: 1998 0.00010 Age: 10 qx: 0.00010 Gender: Female","Year: 1998 0.00012 Age: 11 qx: 0.00012 Gender: Female","Year: 1998 0.00013 Age: 12 qx: 0.00013 Gender: Female","Year: 1998 0.00014 Age: 13 qx: 0.00014 Gender: Female","Year: 1998 0.00019 Age: 14 qx: 0.00019 Gender: Female","Year: 1998 0.00019 Age: 15 qx: 0.00019 Gender: Female","Year: 1998 0.00024 Age: 16 qx: 0.00024 Gender: Female","Year: 1998 0.00024 Age: 17 qx: 0.00024 Gender: Female","Year: 1998 0.00039 Age: 18 qx: 0.00039 Gender: Female","Year: 1998 0.00029 Age: 19 qx: 0.00029 Gender: Female","Year: 1998 0.00039 Age: 20 qx: 0.00039 Gender: Female","Year: 1998 0.00037 Age: 21 qx: 0.00037 Gender: Female","Year: 1998 0.00047 Age: 22 qx: 0.00047 Gender: Female","Year: 1998 0.00041 Age: 23 qx: 0.00041 Gender: Female","Year: 1998 0.00038 Age: 24 qx: 0.00038 Gender: Female","Year: 1998 0.00041 Age: 25 qx: 0.00041 Gender: Female","Year: 1998 0.00044 Age: 26 qx: 0.00044 Gender: Female","Year: 1998 0.00043 Age: 27 qx: 0.00043 Gender: Female","Year: 1998 0.00043 Age: 28 qx: 0.00043 Gender: Female","Year: 1998 0.00046 Age: 29 qx: 0.00046 Gender: Female","Year: 1998 0.00051 Age: 30 qx: 0.00051 Gender: Female","Year: 1998 0.00052 Age: 31 qx: 0.00052 Gender: Female","Year: 1998 0.00060 Age: 32 qx: 0.00060 Gender: Female","Year: 1998 0.00063 Age: 33 qx: 0.00063 Gender: Female","Year: 1998 0.00064 Age: 34 qx: 0.00064 Gender: Female","Year: 1998 0.00079 Age: 35 qx: 0.00079 Gender: Female","Year: 1998 0.00077 Age: 36 qx: 0.00077 Gender: Female","Year: 1998 0.00085 Age: 37 qx: 0.00085 Gender: Female","Year: 1998 0.00104 Age: 38 qx: 0.00104 Gender: Female","Year: 1998 0.00111 Age: 39 qx: 0.00111 Gender: Female","Year: 1998 0.00108 Age: 40 qx: 0.00108 Gender: Female","Year: 1998 0.00129 Age: 41 qx: 0.00129 Gender: Female","Year: 1998 0.00130 Age: 42 qx: 0.00130 Gender: Female","Year: 1998 0.00160 Age: 43 qx: 0.00160 Gender: Female","Year: 1998 0.00160 Age: 44 qx: 0.00160 Gender: Female","Year: 1998 0.00176 Age: 45 qx: 0.00176 Gender: Female","Year: 1998 0.00188 Age: 46 qx: 0.00188 Gender: Female","Year: 1998 0.00200 Age: 47 qx: 0.00200 Gender: Female","Year: 1998 0.00208 Age: 48 qx: 0.00208 Gender: Female","Year: 1998 0.00228 Age: 49 qx: 0.00228 Gender: Female","Year: 1998 0.00250 Age: 50 qx: 0.00250 Gender: Female","Year: 1998 0.00261 Age: 51 qx: 0.00261 Gender: Female","Year: 1998 0.00302 Age: 52 qx: 0.00302 Gender: Female","Year: 1998 0.00313 Age: 53 qx: 0.00313 Gender: Female","Year: 1998 0.00335 Age: 54 qx: 0.00335 Gender: Female","Year: 1998 0.00350 Age: 55 qx: 0.00350 Gender: Female","Year: 1998 0.00368 Age: 56 qx: 0.00368 Gender: Female","Year: 1998 0.00405 Age: 57 qx: 0.00405 Gender: Female","Year: 1998 0.00434 Age: 58 qx: 0.00434 Gender: Female","Year: 1998 0.00463 Age: 59 qx: 0.00463 Gender: Female","Year: 1998 0.00504 Age: 60 qx: 0.00504 Gender: Female","Year: 1998 0.00513 Age: 61 qx: 0.00513 Gender: Female","Year: 1998 0.00585 Age: 62 qx: 0.00585 Gender: Female","Year: 1998 0.00598 Age: 63 qx: 0.00598 Gender: Female","Year: 1998 0.00695 Age: 64 qx: 0.00695 Gender: Female","Year: 1998 0.00752 Age: 65 qx: 0.00752 Gender: Female","Year: 1998 0.00833 Age: 66 qx: 0.00833 Gender: Female","Year: 1998 0.00924 Age: 67 qx: 0.00924 Gender: Female","Year: 1998 0.00932 Age: 68 qx: 0.00932 Gender: Female","Year: 1998 0.01076 Age: 69 qx: 0.01076 Gender: Female","Year: 1998 0.01208 Age: 70 qx: 0.01208 Gender: Female","Year: 1998 0.01338 Age: 71 qx: 0.01338 Gender: Female","Year: 1998 0.01478 Age: 72 qx: 0.01478 Gender: Female","Year: 1998 0.01677 Age: 73 qx: 0.01677 Gender: Female","Year: 1998 0.01895 Age: 74 qx: 0.01895 Gender: Female","Year: 1998 0.02083 Age: 75 qx: 0.02083 Gender: Female","Year: 1998 0.02387 Age: 76 qx: 0.02387 Gender: Female","Year: 1998 0.02673 Age: 77 qx: 0.02673 Gender: Female","Year: 1998 0.03031 Age: 78 qx: 0.03031 Gender: Female","Year: 1998 0.03536 Age: 79 qx: 0.03536 Gender: Female","Year: 1998 0.03967 Age: 80 qx: 0.03967 Gender: Female","Year: 1998 0.04454 Age: 81 qx: 0.04454 Gender: Female","Year: 1998 0.05443 Age: 82 qx: 0.05443 Gender: Female","Year: 1998 0.05974 Age: 83 qx: 0.05974 Gender: Female","Year: 1998 0.06867 Age: 84 qx: 0.06867 Gender: Female","Year: 1998 0.07827 Age: 85 qx: 0.07827 Gender: Female","Year: 1998 0.08898 Age: 86 qx: 0.08898 Gender: Female","Year: 1998 0.10029 Age: 87 qx: 0.10029 Gender: Female","Year: 1998 0.11395 Age: 88 qx: 0.11395 Gender: Female","Year: 1998 0.12786 Age: 89 qx: 0.12786 Gender: Female","Year: 1998 0.14230 Age: 90 qx: 0.14230 Gender: Female","Year: 1998 0.16031 Age: 91 qx: 0.16031 Gender: Female","Year: 1998 0.17854 Age: 92 qx: 0.17854 Gender: Female","Year: 1998 0.19802 Age: 93 qx: 0.19802 Gender: Female","Year: 1998 0.21684 Age: 94 qx: 0.21684 Gender: Female","Year: 1998 0.23801 Age: 95 qx: 0.23801 Gender: Female","Year: 1998 0.26034 Age: 96 qx: 0.26034 Gender: Female","Year: 1998 0.28338 Age: 97 qx: 0.28338 Gender: Female","Year: 1998 0.30692 Age: 98 qx: 0.30692 Gender: Female","Year: 1998 0.33072 Age: 99 qx: 0.33072 Gender: Female","Year: 1998 0.35455 Age: 100 qx: 0.35455 Gender: Female","Year: 1998 0.37817 Age: 101 qx: 0.37817 Gender: Female","Year: 1998 0.40133 Age: 102 qx: 0.40133 Gender: Female","Year: 1998 0.42383 Age: 103 qx: 0.42383 Gender: Female","Year: 1998 0.44548 Age: 104 qx: 0.44548 Gender: Female","Year: 1998 0.46611 Age: 105 qx: 0.46611 Gender: Female","Year: 1998 0.48559 Age: 106 qx: 0.48559 Gender: Female","Year: 1998 0.50385 Age: 107 qx: 0.50385 Gender: Female","Year: 1998 0.52081 Age: 108 qx: 0.52081 Gender: Female","Year: 1998 0.53647 Age: 109 qx: 0.53647 Gender: 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Gender: Male","Year: 1998 0.00104 Age: 19 qx: 0.00104 Gender: Male","Year: 1998 0.00103 Age: 20 qx: 0.00103 Gender: Male","Year: 1998 0.00121 Age: 21 qx: 0.00121 Gender: Male","Year: 1998 0.00122 Age: 22 qx: 0.00122 Gender: Male","Year: 1998 0.00110 Age: 23 qx: 0.00110 Gender: Male","Year: 1998 0.00116 Age: 24 qx: 0.00116 Gender: Male","Year: 1998 0.00119 Age: 25 qx: 0.00119 Gender: Male","Year: 1998 0.00114 Age: 26 qx: 0.00114 Gender: Male","Year: 1998 0.00120 Age: 27 qx: 0.00120 Gender: Male","Year: 1998 0.00116 Age: 28 qx: 0.00116 Gender: Male","Year: 1998 0.00125 Age: 29 qx: 0.00125 Gender: Male","Year: 1998 0.00134 Age: 30 qx: 0.00134 Gender: Male","Year: 1998 0.00134 Age: 31 qx: 0.00134 Gender: Male","Year: 1998 0.00132 Age: 32 qx: 0.00132 Gender: Male","Year: 1998 0.00143 Age: 33 qx: 0.00143 Gender: Male","Year: 1998 0.00156 Age: 34 qx: 0.00156 Gender: Male","Year: 1998 0.00157 Age: 35 qx: 0.00157 Gender: Male","Year: 1998 0.00185 Age: 36 qx: 0.00185 Gender: Male","Year: 1998 0.00194 Age: 37 qx: 0.00194 Gender: Male","Year: 1998 0.00228 Age: 38 qx: 0.00228 Gender: Male","Year: 1998 0.00233 Age: 39 qx: 0.00233 Gender: Male","Year: 1998 0.00257 Age: 40 qx: 0.00257 Gender: Male","Year: 1998 0.00276 Age: 41 qx: 0.00276 Gender: Male","Year: 1998 0.00327 Age: 42 qx: 0.00327 Gender: Male","Year: 1998 0.00340 Age: 43 qx: 0.00340 Gender: Male","Year: 1998 0.00357 Age: 44 qx: 0.00357 Gender: Male","Year: 1998 0.00416 Age: 45 qx: 0.00416 Gender: Male","Year: 1998 0.00434 Age: 46 qx: 0.00434 Gender: Male","Year: 1998 0.00488 Age: 47 qx: 0.00488 Gender: Male","Year: 1998 0.00510 Age: 48 qx: 0.00510 Gender: Male","Year: 1998 0.00544 Age: 49 qx: 0.00544 Gender: Male","Year: 1998 0.00591 Age: 50 qx: 0.00591 Gender: Male","Year: 1998 0.00624 Age: 51 qx: 0.00624 Gender: Male","Year: 1998 0.00701 Age: 52 qx: 0.00701 Gender: Male","Year: 1998 0.00701 Age: 53 qx: 0.00701 Gender: Male","Year: 1998 0.00788 Age: 54 qx: 0.00788 Gender: Male","Year: 1998 0.00822 Age: 55 qx: 0.00822 Gender: Male","Year: 1998 0.00851 Age: 56 qx: 0.00851 Gender: Male","Year: 1998 0.01005 Age: 57 qx: 0.01005 Gender: Male","Year: 1998 0.01017 Age: 58 qx: 0.01017 Gender: Male","Year: 1998 0.01155 Age: 59 qx: 0.01155 Gender: Male","Year: 1998 0.01284 Age: 60 qx: 0.01284 Gender: Male","Year: 1998 0.01348 Age: 61 qx: 0.01348 Gender: Male","Year: 1998 0.01460 Age: 62 qx: 0.01460 Gender: Male","Year: 1998 0.01594 Age: 63 qx: 0.01594 Gender: Male","Year: 1998 0.01757 Age: 64 qx: 0.01757 Gender: Male","Year: 1998 0.01875 Age: 65 qx: 0.01875 Gender: Male","Year: 1998 0.02028 Age: 66 qx: 0.02028 Gender: Male","Year: 1998 0.02227 Age: 67 qx: 0.02227 Gender: Male","Year: 1998 0.02394 Age: 68 qx: 0.02394 Gender: Male","Year: 1998 0.02659 Age: 69 qx: 0.02659 Gender: Male","Year: 1998 0.02900 Age: 70 qx: 0.02900 Gender: Male","Year: 1998 0.03185 Age: 71 qx: 0.03185 Gender: Male","Year: 1998 0.03414 Age: 72 qx: 0.03414 Gender: Male","Year: 1998 0.03624 Age: 73 qx: 0.03624 Gender: Male","Year: 1998 0.04015 Age: 74 qx: 0.04015 Gender: Male","Year: 1998 0.04406 Age: 75 qx: 0.04406 Gender: Male","Year: 1998 0.04772 Age: 76 qx: 0.04772 Gender: Male","Year: 1998 0.05254 Age: 77 qx: 0.05254 Gender: Male","Year: 1998 0.05839 Age: 78 qx: 0.05839 Gender: Male","Year: 1998 0.06245 Age: 79 qx: 0.06245 Gender: Male","Year: 1998 0.07163 Age: 80 qx: 0.07163 Gender: Male","Year: 1998 0.08149 Age: 81 qx: 0.08149 Gender: Male","Year: 1998 0.09115 Age: 82 qx: 0.09115 Gender: Male","Year: 1998 0.10036 Age: 83 qx: 0.10036 Gender: Male","Year: 1998 0.10876 Age: 84 qx: 0.10876 Gender: Male","Year: 1998 0.12154 Age: 85 qx: 0.12154 Gender: Male","Year: 1998 0.13511 Age: 86 qx: 0.13511 Gender: Male","Year: 1998 0.14744 Age: 87 qx: 0.14744 Gender: Male","Year: 1998 0.16462 Age: 88 qx: 0.16462 Gender: Male","Year: 1998 0.18014 Age: 89 qx: 0.18014 Gender: Male","Year: 1998 0.19118 Age: 90 qx: 0.19118 Gender: Male","Year: 1998 0.21444 Age: 91 qx: 0.21444 Gender: Male","Year: 1998 0.23840 Age: 92 qx: 0.23840 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Gender: Female","Year: 2005 0.00320 Age: 54 qx: 0.00320 Gender: Female","Year: 2005 0.00322 Age: 55 qx: 0.00322 Gender: Female","Year: 2005 0.00345 Age: 56 qx: 0.00345 Gender: Female","Year: 2005 0.00376 Age: 57 qx: 0.00376 Gender: Female","Year: 2005 0.00386 Age: 58 qx: 0.00386 Gender: Female","Year: 2005 0.00426 Age: 59 qx: 0.00426 Gender: Female","Year: 2005 0.00479 Age: 60 qx: 0.00479 Gender: Female","Year: 2005 0.00480 Age: 61 qx: 0.00480 Gender: Female","Year: 2005 0.00536 Age: 62 qx: 0.00536 Gender: Female","Year: 2005 0.00546 Age: 63 qx: 0.00546 Gender: Female","Year: 2005 0.00586 Age: 64 qx: 0.00586 Gender: Female","Year: 2005 0.00615 Age: 65 qx: 0.00615 Gender: Female","Year: 2005 0.00700 Age: 66 qx: 0.00700 Gender: Female","Year: 2005 0.00767 Age: 67 qx: 0.00767 Gender: Female","Year: 2005 0.00828 Age: 68 qx: 0.00828 Gender: Female","Year: 2005 0.00882 Age: 69 qx: 0.00882 Gender: Female","Year: 2005 0.01004 Age: 70 qx: 0.01004 Gender: Female","Year: 2005 0.01137 Age: 71 qx: 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Gender: Male","Year: 2005 0.00078 Age: 19 qx: 0.00078 Gender: Male","Year: 2005 0.00082 Age: 20 qx: 0.00082 Gender: Male","Year: 2005 0.00081 Age: 21 qx: 0.00081 Gender: Male","Year: 2005 0.00089 Age: 22 qx: 0.00089 Gender: Male","Year: 2005 0.00099 Age: 23 qx: 0.00099 Gender: Male","Year: 2005 0.00092 Age: 24 qx: 0.00092 Gender: Male","Year: 2005 0.00089 Age: 25 qx: 0.00089 Gender: Male","Year: 2005 0.00095 Age: 26 qx: 0.00095 Gender: Male","Year: 2005 0.00082 Age: 27 qx: 0.00082 Gender: Male","Year: 2005 0.00087 Age: 28 qx: 0.00087 Gender: Male","Year: 2005 0.00093 Age: 29 qx: 0.00093 Gender: Male","Year: 2005 0.00099 Age: 30 qx: 0.00099 Gender: Male","Year: 2005 0.00109 Age: 31 qx: 0.00109 Gender: Male","Year: 2005 0.00109 Age: 32 qx: 0.00109 Gender: Male","Year: 2005 0.00113 Age: 33 qx: 0.00113 Gender: Male","Year: 2005 0.00124 Age: 34 qx: 0.00124 Gender: Male","Year: 2005 0.00122 Age: 35 qx: 0.00122 Gender: Male","Year: 2005 0.00149 Age: 36 qx: 0.00149 Gender: Male","Year: 2005 0.00145 Age: 37 qx: 0.00145 Gender: Male","Year: 2005 0.00165 Age: 38 qx: 0.00165 Gender: Male","Year: 2005 0.00178 Age: 39 qx: 0.00178 Gender: Male","Year: 2005 0.00211 Age: 40 qx: 0.00211 Gender: Male","Year: 2005 0.00216 Age: 41 qx: 0.00216 Gender: Male","Year: 2005 0.00232 Age: 42 qx: 0.00232 Gender: Male","Year: 2005 0.00250 Age: 43 qx: 0.00250 Gender: Male","Year: 2005 0.00308 Age: 44 qx: 0.00308 Gender: Male","Year: 2005 0.00338 Age: 45 qx: 0.00338 Gender: Male","Year: 2005 0.00371 Age: 46 qx: 0.00371 Gender: Male","Year: 2005 0.00423 Age: 47 qx: 0.00423 Gender: Male","Year: 2005 0.00477 Age: 48 qx: 0.00477 Gender: Male","Year: 2005 0.00528 Age: 49 qx: 0.00528 Gender: Male","Year: 2005 0.00574 Age: 50 qx: 0.00574 Gender: Male","Year: 2005 0.00589 Age: 51 qx: 0.00589 Gender: Male","Year: 2005 0.00622 Age: 52 qx: 0.00622 Gender: Male","Year: 2005 0.00682 Age: 53 qx: 0.00682 Gender: Male","Year: 2005 0.00729 Age: 54 qx: 0.00729 Gender: Male","Year: 2005 0.00765 Age: 55 qx: 0.00765 Gender: Male","Year: 2005 0.00821 Age: 56 qx: 0.00821 Gender: Male","Year: 2005 0.00901 Age: 57 qx: 0.00901 Gender: Male","Year: 2005 0.00964 Age: 58 qx: 0.00964 Gender: Male","Year: 2005 0.01024 Age: 59 qx: 0.01024 Gender: Male","Year: 2005 0.01092 Age: 60 qx: 0.01092 Gender: Male","Year: 2005 0.01124 Age: 61 qx: 0.01124 Gender: Male","Year: 2005 0.01215 Age: 62 qx: 0.01215 Gender: Male","Year: 2005 0.01292 Age: 63 qx: 0.01292 Gender: Male","Year: 2005 0.01420 Age: 64 qx: 0.01420 Gender: Male","Year: 2005 0.01530 Age: 65 qx: 0.01530 Gender: Male","Year: 2005 0.01641 Age: 66 qx: 0.01641 Gender: Male","Year: 2005 0.01751 Age: 67 qx: 0.01751 Gender: Male","Year: 2005 0.01907 Age: 68 qx: 0.01907 Gender: Male","Year: 2005 0.02132 Age: 69 qx: 0.02132 Gender: Male","Year: 2005 0.02237 Age: 70 qx: 0.02237 Gender: Male","Year: 2005 0.02594 Age: 71 qx: 0.02594 Gender: Male","Year: 2005 0.02804 Age: 72 qx: 0.02804 Gender: Male","Year: 2005 0.03038 Age: 73 qx: 0.03038 Gender: Male","Year: 2005 0.03432 Age: 74 qx: 0.03432 Gender: Male","Year: 2005 0.03629 Age: 75 qx: 0.03629 Gender: Male","Year: 2005 0.04014 Age: 76 qx: 0.04014 Gender: Male","Year: 2005 0.04474 Age: 77 qx: 0.04474 Gender: Male","Year: 2005 0.05000 Age: 78 qx: 0.05000 Gender: Male","Year: 2005 0.05468 Age: 79 qx: 0.05468 Gender: Male","Year: 2005 0.06244 Age: 80 qx: 0.06244 Gender: Male","Year: 2005 0.07009 Age: 81 qx: 0.07009 Gender: Male","Year: 2005 0.07774 Age: 82 qx: 0.07774 Gender: Male","Year: 2005 0.08658 Age: 83 qx: 0.08658 Gender: Male","Year: 2005 0.09502 Age: 84 qx: 0.09502 Gender: Male","Year: 2005 0.10681 Age: 85 qx: 0.10681 Gender: Male","Year: 2005 0.11979 Age: 86 qx: 0.11979 Gender: Male","Year: 2005 0.13035 Age: 87 qx: 0.13035 Gender: Male","Year: 2005 0.14764 Age: 88 qx: 0.14764 Gender: Male","Year: 2005 0.16056 Age: 89 qx: 0.16056 Gender: Male","Year: 2005 0.18021 Age: 90 qx: 0.18021 Gender: Male","Year: 2005 0.19809 Age: 91 qx: 0.19809 Gender: Male","Year: 2005 0.21062 Age: 92 qx: 0.21062 Gender: Male","Year: 2005 0.23587 Age: 93 qx: 0.23587 Gender: Male","Year: 2005 0.25920 Age: 94 qx: 0.25920 Gender: Male","Year: 2005 0.27465 Age: 95 qx: 0.27465 Gender: Male","Year: 2005 0.29565 Age: 96 qx: 0.29565 Gender: Male","Year: 2005 0.31696 Age: 97 qx: 0.31696 Gender: Male","Year: 2005 0.33840 Age: 98 qx: 0.33840 Gender: Male","Year: 2005 0.35980 Age: 99 qx: 0.35980 Gender: Male","Year: 2005 0.38099 Age: 100 qx: 0.38099 Gender: Male","Year: 2005 0.40178 Age: 101 qx: 0.40178 Gender: Male","Year: 2005 0.42204 Age: 102 qx: 0.42204 Gender: Male","Year: 2005 0.44161 Age: 103 qx: 0.44161 Gender: Male","Year: 2005 0.46039 Age: 104 qx: 0.46039 Gender: Male","Year: 2005 0.47826 Age: 105 qx: 0.47826 Gender: Male","Year: 2005 0.49516 Age: 106 qx: 0.49516 Gender: Male","Year: 2005 0.51104 Age: 107 qx: 0.51104 Gender: Male","Year: 2005 0.52587 Age: 108 qx: 0.52587 Gender: Male","Year: 2005 0.53964 Age: 109 qx: 0.53964 Gender: 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2006 0.00332 Age: 0 qx: 0.00332 Gender: Female","Year: 2006 0.00028 Age: 1 qx: 0.00028 Gender: Female","Year: 2006 0.00018 Age: 2 qx: 0.00018 Gender: Female","Year: 2006 0.00014 Age: 3 qx: 0.00014 Gender: Female","Year: 2006 0.00013 Age: 4 qx: 0.00013 Gender: Female","Year: 2006 0.00011 Age: 5 qx: 0.00011 Gender: Female","Year: 2006 0.00008 Age: 6 qx: 0.00008 Gender: Female","Year: 2006 0.00006 Age: 7 qx: 0.00006 Gender: Female","Year: 2006 0.00008 Age: 8 qx: 0.00008 Gender: Female","Year: 2006 0.00009 Age: 9 qx: 0.00009 Gender: Female","Year: 2006 0.00005 Age: 10 qx: 0.00005 Gender: Female","Year: 2006 0.00008 Age: 11 qx: 0.00008 Gender: Female","Year: 2006 0.00009 Age: 12 qx: 0.00009 Gender: Female","Year: 2006 0.00012 Age: 13 qx: 0.00012 Gender: Female","Year: 2006 0.00010 Age: 14 qx: 0.00010 Gender: Female","Year: 2006 0.00014 Age: 15 qx: 0.00014 Gender: Female","Year: 2006 0.00018 Age: 16 qx: 0.00018 Gender: Female","Year: 2006 0.00022 Age: 17 qx: 0.00022 Gender: Female","Year: 2006 0.00023 Age: 18 qx: 0.00023 Gender: Female","Year: 2006 0.00026 Age: 19 qx: 0.00026 Gender: Female","Year: 2006 0.00029 Age: 20 qx: 0.00029 Gender: Female","Year: 2006 0.00029 Age: 21 qx: 0.00029 Gender: Female","Year: 2006 0.00028 Age: 22 qx: 0.00028 Gender: Female","Year: 2006 0.00026 Age: 23 qx: 0.00026 Gender: Female","Year: 2006 0.00029 Age: 24 qx: 0.00029 Gender: Female","Year: 2006 0.00024 Age: 25 qx: 0.00024 Gender: Female","Year: 2006 0.00031 Age: 26 qx: 0.00031 Gender: Female","Year: 2006 0.00028 Age: 27 qx: 0.00028 Gender: Female","Year: 2006 0.00033 Age: 28 qx: 0.00033 Gender: Female","Year: 2006 0.00028 Age: 29 qx: 0.00028 Gender: Female","Year: 2006 0.00033 Age: 30 qx: 0.00033 Gender: Female","Year: 2006 0.00039 Age: 31 qx: 0.00039 Gender: Female","Year: 2006 0.00044 Age: 32 qx: 0.00044 Gender: Female","Year: 2006 0.00045 Age: 33 qx: 0.00045 Gender: Female","Year: 2006 0.00050 Age: 34 qx: 0.00050 Gender: Female","Year: 2006 0.00061 Age: 35 qx: 0.00061 Gender: Female","Year: 2006 0.00063 Age: 36 qx: 0.00063 Gender: Female","Year: 2006 0.00067 Age: 37 qx: 0.00067 Gender: Female","Year: 2006 0.00083 Age: 38 qx: 0.00083 Gender: Female","Year: 2006 0.00095 Age: 39 qx: 0.00095 Gender: Female","Year: 2006 0.00093 Age: 40 qx: 0.00093 Gender: Female","Year: 2006 0.00104 Age: 41 qx: 0.00104 Gender: Female","Year: 2006 0.00121 Age: 42 qx: 0.00121 Gender: Female","Year: 2006 0.00132 Age: 43 qx: 0.00132 Gender: Female","Year: 2006 0.00132 Age: 44 qx: 0.00132 Gender: Female","Year: 2006 0.00151 Age: 45 qx: 0.00151 Gender: Female","Year: 2006 0.00186 Age: 46 qx: 0.00186 Gender: Female","Year: 2006 0.00184 Age: 47 qx: 0.00184 Gender: Female","Year: 2006 0.00211 Age: 48 qx: 0.00211 Gender: Female","Year: 2006 0.00230 Age: 49 qx: 0.00230 Gender: Female","Year: 2006 0.00254 Age: 50 qx: 0.00254 Gender: Female","Year: 2006 0.00275 Age: 51 qx: 0.00275 Gender: Female","Year: 2006 0.00281 Age: 52 qx: 0.00281 Gender: Female","Year: 2006 0.00296 Age: 53 qx: 0.00296 Gender: Female","Year: 2006 0.00307 Age: 54 qx: 0.00307 Gender: Female","Year: 2006 0.00329 Age: 55 qx: 0.00329 Gender: Female","Year: 2006 0.00344 Age: 56 qx: 0.00344 Gender: Female","Year: 2006 0.00392 Age: 57 qx: 0.00392 Gender: Female","Year: 2006 0.00374 Age: 58 qx: 0.00374 Gender: Female","Year: 2006 0.00406 Age: 59 qx: 0.00406 Gender: Female","Year: 2006 0.00451 Age: 60 qx: 0.00451 Gender: Female","Year: 2006 0.00466 Age: 61 qx: 0.00466 Gender: Female","Year: 2006 0.00516 Age: 62 qx: 0.00516 Gender: Female","Year: 2006 0.00573 Age: 63 qx: 0.00573 Gender: Female","Year: 2006 0.00594 Age: 64 qx: 0.00594 Gender: Female","Year: 2006 0.00624 Age: 65 qx: 0.00624 Gender: Female","Year: 2006 0.00671 Age: 66 qx: 0.00671 Gender: Female","Year: 2006 0.00722 Age: 67 qx: 0.00722 Gender: Female","Year: 2006 0.00831 Age: 68 qx: 0.00831 Gender: Female","Year: 2006 0.00856 Age: 69 qx: 0.00856 Gender: Female","Year: 2006 0.00951 Age: 70 qx: 0.00951 Gender: Female","Year: 2006 0.01087 Age: 71 qx: 0.01087 Gender: Female","Year: 2006 0.01174 Age: 72 qx: 0.01174 Gender: Female","Year: 2006 0.01322 Age: 73 qx: 0.01322 Gender: Female","Year: 2006 0.01515 Age: 74 qx: 0.01515 Gender: Female","Year: 2006 0.01666 Age: 75 qx: 0.01666 Gender: Female","Year: 2006 0.01920 Age: 76 qx: 0.01920 Gender: Female","Year: 2006 0.02169 Age: 77 qx: 0.02169 Gender: Female","Year: 2006 0.02456 Age: 78 qx: 0.02456 Gender: Female","Year: 2006 0.02733 Age: 79 qx: 0.02733 Gender: Female","Year: 2006 0.03234 Age: 80 qx: 0.03234 Gender: Female","Year: 2006 0.03700 Age: 81 qx: 0.03700 Gender: Female","Year: 2006 0.04324 Age: 82 qx: 0.04324 Gender: Female","Year: 2006 0.04860 Age: 83 qx: 0.04860 Gender: Female","Year: 2006 0.05647 Age: 84 qx: 0.05647 Gender: Female","Year: 2006 0.06403 Age: 85 qx: 0.06403 Gender: Female","Year: 2006 0.07372 Age: 86 qx: 0.07372 Gender: Female","Year: 2006 0.08364 Age: 87 qx: 0.08364 Gender: Female","Year: 2006 0.09203 Age: 88 qx: 0.09203 Gender: Female","Year: 2006 0.10883 Age: 89 qx: 0.10883 Gender: Female","Year: 2006 0.12346 Age: 90 qx: 0.12346 Gender: Female","Year: 2006 0.13818 Age: 91 qx: 0.13818 Gender: Female","Year: 2006 0.15578 Age: 92 qx: 0.15578 Gender: Female","Year: 2006 0.17154 Age: 93 qx: 0.17154 Gender: Female","Year: 2006 0.18834 Age: 94 qx: 0.18834 Gender: Female","Year: 2006 0.20906 Age: 95 qx: 0.20906 Gender: Female","Year: 2006 0.23048 Age: 96 qx: 0.23048 Gender: Female","Year: 2006 0.25287 Age: 97 qx: 0.25287 Gender: Female","Year: 2006 0.27606 Age: 98 qx: 0.27606 Gender: Female","Year: 2006 0.29984 Age: 99 qx: 0.29984 Gender: Female","Year: 2006 0.32397 Age: 100 qx: 0.32397 Gender: Female","Year: 2006 0.34820 Age: 101 qx: 0.34820 Gender: Female","Year: 2006 0.37227 Age: 102 qx: 0.37227 Gender: Female","Year: 2006 0.39593 Age: 103 qx: 0.39593 Gender: Female","Year: 2006 0.41896 Age: 104 qx: 0.41896 Gender: Female","Year: 2006 0.44115 Age: 105 qx: 0.44115 Gender: Female","Year: 2006 0.46231 Age: 106 qx: 0.46231 Gender: Female","Year: 2006 0.48233 Age: 107 qx: 0.48233 Gender: Female","Year: 2006 0.50108 Age: 108 qx: 0.50108 Gender: Female","Year: 2006 0.51851 Age: 109 qx: 0.51851 Gender: 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2006 0.00428 Age: 0 qx: 0.00428 Gender: Male","Year: 2006 0.00037 Age: 1 qx: 0.00037 Gender: Male","Year: 2006 0.00023 Age: 2 qx: 0.00023 Gender: Male","Year: 2006 0.00016 Age: 3 qx: 0.00016 Gender: Male","Year: 2006 0.00012 Age: 4 qx: 0.00012 Gender: Male","Year: 2006 0.00011 Age: 5 qx: 0.00011 Gender: Male","Year: 2006 0.00011 Age: 6 qx: 0.00011 Gender: Male","Year: 2006 0.00010 Age: 7 qx: 0.00010 Gender: Male","Year: 2006 0.00008 Age: 8 qx: 0.00008 Gender: Male","Year: 2006 0.00009 Age: 9 qx: 0.00009 Gender: Male","Year: 2006 0.00010 Age: 10 qx: 0.00010 Gender: Male","Year: 2006 0.00011 Age: 11 qx: 0.00011 Gender: Male","Year: 2006 0.00014 Age: 12 qx: 0.00014 Gender: Male","Year: 2006 0.00016 Age: 13 qx: 0.00016 Gender: Male","Year: 2006 0.00022 Age: 14 qx: 0.00022 Gender: Male","Year: 2006 0.00028 Age: 15 qx: 0.00028 Gender: Male","Year: 2006 0.00033 Age: 16 qx: 0.00033 Gender: Male","Year: 2006 0.00052 Age: 17 qx: 0.00052 Gender: Male","Year: 2006 0.00060 Age: 18 qx: 0.00060 Gender: Male","Year: 2006 0.00073 Age: 19 qx: 0.00073 Gender: Male","Year: 2006 0.00073 Age: 20 qx: 0.00073 Gender: Male","Year: 2006 0.00072 Age: 21 qx: 0.00072 Gender: Male","Year: 2006 0.00073 Age: 22 qx: 0.00073 Gender: Male","Year: 2006 0.00085 Age: 23 qx: 0.00085 Gender: Male","Year: 2006 0.00088 Age: 24 qx: 0.00088 Gender: Male","Year: 2006 0.00079 Age: 25 qx: 0.00079 Gender: Male","Year: 2006 0.00088 Age: 26 qx: 0.00088 Gender: Male","Year: 2006 0.00086 Age: 27 qx: 0.00086 Gender: Male","Year: 2006 0.00087 Age: 28 qx: 0.00087 Gender: Male","Year: 2006 0.00090 Age: 29 qx: 0.00090 Gender: Male","Year: 2006 0.00090 Age: 30 qx: 0.00090 Gender: Male","Year: 2006 0.00104 Age: 31 qx: 0.00104 Gender: Male","Year: 2006 0.00103 Age: 32 qx: 0.00103 Gender: Male","Year: 2006 0.00109 Age: 33 qx: 0.00109 Gender: Male","Year: 2006 0.00122 Age: 34 qx: 0.00122 Gender: Male","Year: 2006 0.00124 Age: 35 qx: 0.00124 Gender: Male","Year: 2006 0.00151 Age: 36 qx: 0.00151 Gender: Male","Year: 2006 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]
]

---
class: center, middle
##II. A. How to obtain an estimation for the future (Computing Lee Carter model)
.pull-left[

```r
#FEMALE
Years <- 1933:1995
T <- length(Years)
Age <- 1:110
A_FRF <- life_table_pivot %>%
 filter(Country == "France", Gender == 'Female', Year %in% Years) %>%
 select(-Gender, -Country, -Year) %>%
 log() %>%
 as.matrix()
M_FRF<- (diag(1,T) - ((1/T)*matrix(1,T,1) %*% t(matrix(1,T,1)))) %*% A_FRF
svdFRF <- svd(M_FRF,1,1)
sFRF <- svdFRF$d[1]
uFRF <- -1 *(svdFRF$u*sFRF)
vFRF <- -1 *svdFRF$v
axFRF <- colMeans(A_FRF)
```
]
.pull-right[
![](diapo_files/figure-html/unnamed-chunk-5-1.png)
]
---
class: center, middle
###II. B. Comparing Norms (SVD Rank 2 vs Lee Carter)
.pull-left[

```r
res_FRF <- svd(A_FRF)
matFRF <- (res_FRF$u[,1:2]) %*% diag(res_FRF$d[1:2])%*%t(res_FRF$v[,1:2])

matLEEFRF = matrix(0,nrow = 63 , ncol = 110)
for (i in 1:110){
  matLEEFRF[,i] = t(axFRF)[i] +vFRF[i]*uFRF
}
```
]
.pull-right[

```r
norm(matFRF - as.matrix(A_FRF) , "F") #9.684005
```

```
## [1] 9.684005
```

```r
norm(matLEEFRF -as.matrix(A_FRF), "F") #10.07679
```

```
## [1] 10.07679
```
]
---
class: center, middle
##II. C. Computing and displaying Lee Carter parameters
.middle[

.pull-left[

```r
LC <- lc() #Leecarter function from StMoMo on a demogdata object
FRF <- StMoMoData(FRfemale , series = "Female") #Transforming a demogdata FRfemale object into StMoMoData object
ages.fit <- 1:110
years.fit <- 1945:1995
LCfit1 <- fit(LC, data =FRF , ages.fit=ages.fit , years.fit=years.fit) #Lee Carter Function from StMoMo
```

```
## StMoMo: The following cohorts have been zero weigthed: 1835 1836 
## StMoMo: Start fitting with gnm
## Initialising
## Running start-up iterations..
## Running main iterations..........
## Done
## StMoMo: Finish fitting with gnm
```

```r
#Forecasting 
LCforFRF <- forecast(LCfit1, h=20)
```
]
.pull-right[
![](diapo_files/figure-html/unnamed-chunk-11-1.png)
]
]

---
class: center, middle
##III. Estimating life expectancies with demography
.middle[
.pull-left[

```r
ex_predicted_fr_female <- tibble()
for (a in 0:109){
lf <- flife.expectancy(FRfemale, series = names(FRfemale$rate)[1], years = FRfemale$year,
 age=a+1, max.age = 110)
 lf <- as.vector(t(tibble(lf)))
 ex_predicted_fr_female <- rbind(ex_predicted_fr_female,lf)
}
colnames(ex_predicted_fr_female) <- 1816:2017

ex_predicted_pivot_fr_female <- as.data.frame(t(ex_predicted_fr_female))
Country <- rep("France", 202)
Gender <- rep("Female", 202)
Year <- 1816:2017
colnames(ex_predicted_pivot_fr_female) <- 0:109

ex_predicted_pivot_fr_female <-cbind(Country,Gender, Year,ex_predicted_pivot_fr_female)
ex_observed_pivot_fr_female <- as.data.frame(ex_life_table_pivot %>% filter(Country == "France", Gender == "Female"))
```

]
.pull-right[
<div id="htmlwidget-f26efdb93190acdbb84d" style="width:550px;height:400px;" class="plotly html-widget"></div>
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ex_fr_female$Type: Observed Year: 2008 Ex: 84.320000","Age: 0 ex_fr_female$Type: Observed Year: 2009 Ex: 84.410000","Age: 0 ex_fr_female$Type: Observed Year: 2010 Ex: 84.650000","Age: 0 ex_fr_female$Type: Observed Year: 2011 Ex: 84.990000","Age: 0 ex_fr_female$Type: Observed Year: 2012 Ex: 84.840000","Age: 0 ex_fr_female$Type: Observed Year: 2013 Ex: 85.040000","Age: 0 ex_fr_female$Type: Observed Year: 2014 Ex: 85.430000","Age: 0 ex_fr_female$Type: Observed Year: 2015 Ex: 85.140000","Age: 0 ex_fr_female$Type: Observed Year: 2016 Ex: 85.320000","Age: 0 ex_fr_female$Type: Observed Year: 2017 Ex: 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1847 Ex: 41.977463","Age: 0 ex_fr_female$Type: Predicted Year: 1848 Ex: 41.921052","Age: 0 ex_fr_female$Type: Predicted Year: 1849 Ex: 37.572682","Age: 0 ex_fr_female$Type: Predicted Year: 1850 Ex: 44.706378","Age: 0 ex_fr_female$Type: Predicted Year: 1851 Ex: 43.201297","Age: 0 ex_fr_female$Type: Predicted Year: 1852 Ex: 42.762959","Age: 0 ex_fr_female$Type: Predicted Year: 1853 Ex: 43.943034","Age: 0 ex_fr_female$Type: Predicted Year: 1854 Ex: 37.883664","Age: 0 ex_fr_female$Type: Predicted Year: 1855 Ex: 40.293216","Age: 0 ex_fr_female$Type: Predicted Year: 1856 Ex: 42.130683","Age: 0 ex_fr_female$Type: Predicted Year: 1857 Ex: 41.091351","Age: 0 ex_fr_female$Type: Predicted Year: 1858 Ex: 40.945564","Age: 0 ex_fr_female$Type: Predicted Year: 1859 Ex: 37.093639","Age: 0 ex_fr_female$Type: Predicted Year: 1860 Ex: 44.587149","Age: 0 ex_fr_female$Type: Predicted Year: 1861 Ex: 41.970891","Age: 0 ex_fr_female$Type: Predicted Year: 1862 Ex: 44.130666","Age: 0 ex_fr_female$Type: Predicted Year: 1863 Ex: 43.364762","Age: 0 ex_fr_female$Type: Predicted Year: 1864 Ex: 43.656040","Age: 0 ex_fr_female$Type: Predicted Year: 1865 Ex: 41.859865","Age: 0 ex_fr_female$Type: Predicted Year: 1866 Ex: 43.341504","Age: 0 ex_fr_female$Type: Predicted Year: 1867 Ex: 44.072300","Age: 0 ex_fr_female$Type: Predicted Year: 1868 Ex: 42.164944","Age: 0 ex_fr_female$Type: Predicted Year: 1869 Ex: 43.017820","Age: 0 ex_fr_female$Type: Predicted Year: 1870 Ex: 39.410252","Age: 0 ex_fr_female$Type: Predicted Year: 1871 Ex: 33.590346","Age: 0 ex_fr_female$Type: Predicted Year: 1872 Ex: 44.479311","Age: 0 ex_fr_female$Type: Predicted Year: 1873 Ex: 43.713665","Age: 0 ex_fr_female$Type: Predicted Year: 1874 Ex: 46.077995","Age: 0 ex_fr_female$Type: Predicted Year: 1875 Ex: 44.902583","Age: 0 ex_fr_female$Type: Predicted Year: 1876 Ex: 45.500644","Age: 0 ex_fr_female$Type: Predicted Year: 1877 Ex: 46.085738","Age: 0 ex_fr_female$Type: Predicted Year: 1878 Ex: 45.259380","Age: 0 ex_fr_female$Type: Predicted Year: 1879 Ex: 45.864890","Age: 0 ex_fr_female$Type: Predicted Year: 1880 Ex: 44.661265","Age: 0 ex_fr_female$Type: Predicted Year: 1881 Ex: 45.456927","Age: 0 ex_fr_female$Type: Predicted Year: 1882 Ex: 45.223099","Age: 0 ex_fr_female$Type: Predicted Year: 1883 Ex: 45.361377","Age: 0 ex_fr_female$Type: Predicted Year: 1884 Ex: 44.674931","Age: 0 ex_fr_female$Type: Predicted Year: 1885 Ex: 46.034679","Age: 0 ex_fr_female$Type: Predicted Year: 1886 Ex: 45.298190","Age: 0 ex_fr_female$Type: Predicted Year: 1887 Ex: 45.789931","Age: 0 ex_fr_female$Type: Predicted Year: 1888 Ex: 46.488686","Age: 0 ex_fr_female$Type: Predicted Year: 1889 Ex: 47.747606","Age: 0 ex_fr_female$Type: Predicted Year: 1890 Ex: 45.652246","Age: 0 ex_fr_female$Type: Predicted Year: 1891 Ex: 46.317114","Age: 0 ex_fr_female$Type: Predicted Year: 1892 Ex: 45.943440","Age: 0 ex_fr_female$Type: Predicted Year: 1893 Ex: 46.032736","Age: 0 ex_fr_female$Type: Predicted Year: 1894 Ex: 47.924044","Age: 0 ex_fr_female$Type: Predicted Year: 1895 Ex: 47.727820","Age: 0 ex_fr_female$Type: Predicted Year: 1896 Ex: 49.825090","Age: 0 ex_fr_female$Type: Predicted Year: 1897 Ex: 50.298318","Age: 0 ex_fr_female$Type: Predicted Year: 1898 Ex: 48.547432","Age: 0 ex_fr_female$Type: Predicted Year: 1899 Ex: 47.834903","Age: 0 ex_fr_female$Type: Predicted Year: 1900 Ex: 47.777383","Age: 0 ex_fr_female$Type: Predicted Year: 1901 Ex: 49.595718","Age: 0 ex_fr_female$Type: Predicted Year: 1902 Ex: 50.454416","Age: 0 ex_fr_female$Type: Predicted Year: 1903 Ex: 50.804890","Age: 0 ex_fr_female$Type: Predicted Year: 1904 Ex: 50.523380","Age: 0 ex_fr_female$Type: Predicted Year: 1905 Ex: 50.940372","Age: 0 ex_fr_female$Type: Predicted Year: 1906 Ex: 50.391613","Age: 0 ex_fr_female$Type: Predicted Year: 1907 Ex: 50.899011","Age: 0 ex_fr_female$Type: Predicted Year: 1908 Ex: 51.952268","Age: 0 ex_fr_female$Type: Predicted Year: 1909 Ex: 52.613371","Age: 0 ex_fr_female$Type: Predicted Year: 1910 Ex: 53.872264","Age: 0 ex_fr_female$Type: Predicted Year: 1911 Ex: 50.945871","Age: 0 ex_fr_female$Type: Predicted Year: 1912 Ex: 54.270010","Age: 0 ex_fr_female$Type: Predicted Year: 1913 Ex: 53.993122","Age: 0 ex_fr_female$Type: Predicted Year: 1914 Ex: 53.832358","Age: 0 ex_fr_female$Type: Predicted Year: 1915 Ex: 53.250840","Age: 0 ex_fr_female$Type: Predicted Year: 1916 Ex: 53.024780","Age: 0 ex_fr_female$Type: Predicted Year: 1917 Ex: 52.550984","Age: 0 ex_fr_female$Type: Predicted Year: 1918 Ex: 43.695574","Age: 0 ex_fr_female$Type: Predicted Year: 1919 Ex: 50.980037","Age: 0 ex_fr_female$Type: Predicted Year: 1920 Ex: 54.289177","Age: 0 ex_fr_female$Type: Predicted Year: 1921 Ex: 55.334286","Age: 0 ex_fr_female$Type: Predicted Year: 1922 Ex: 57.269052","Age: 0 ex_fr_female$Type: Predicted Year: 1923 Ex: 57.150605","Age: 0 ex_fr_female$Type: Predicted Year: 1924 Ex: 57.817779","Age: 0 ex_fr_female$Type: Predicted Year: 1925 Ex: 57.139390","Age: 0 ex_fr_female$Type: Predicted Year: 1926 Ex: 56.651202","Age: 0 ex_fr_female$Type: Predicted Year: 1927 Ex: 58.212494","Age: 0 ex_fr_female$Type: Predicted Year: 1928 Ex: 58.008006","Age: 0 ex_fr_female$Type: Predicted Year: 1929 Ex: 57.010386","Age: 0 ex_fr_female$Type: Predicted Year: 1930 Ex: 59.718886","Age: 0 ex_fr_female$Type: Predicted Year: 1931 Ex: 59.653013","Age: 0 ex_fr_female$Type: Predicted Year: 1932 Ex: 60.115994","Age: 0 ex_fr_female$Type: Predicted Year: 1933 Ex: 60.581830","Age: 0 ex_fr_female$Type: Predicted Year: 1934 Ex: 61.566159","Age: 0 ex_fr_female$Type: Predicted Year: 1935 Ex: 61.522411","Age: 0 ex_fr_female$Type: Predicted Year: 1936 Ex: 62.067967","Age: 0 ex_fr_female$Type: Predicted Year: 1937 Ex: 62.485337","Age: 0 ex_fr_female$Type: Predicted Year: 1938 Ex: 62.380466","Age: 0 ex_fr_female$Type: Predicted Year: 1939 Ex: 62.947291","Age: 0 ex_fr_female$Type: Predicted Year: 1940 Ex: 59.455712","Age: 0 ex_fr_female$Type: Predicted Year: 1941 Ex: 61.608809","Age: 0 ex_fr_female$Type: Predicted Year: 1942 Ex: 61.840058","Age: 0 ex_fr_female$Type: Predicted Year: 1943 Ex: 58.475936","Age: 0 ex_fr_female$Type: Predicted Year: 1944 Ex: 54.022009","Age: 0 ex_fr_female$Type: Predicted Year: 1945 Ex: 59.132561","Age: 0 ex_fr_female$Type: Predicted Year: 1946 Ex: 65.366590","Age: 0 ex_fr_female$Type: Predicted Year: 1947 Ex: 67.029239","Age: 0 ex_fr_female$Type: Predicted Year: 1948 Ex: 69.057923","Age: 0 ex_fr_female$Type: Predicted Year: 1949 Ex: 67.860361","Age: 0 ex_fr_female$Type: Predicted Year: 1950 Ex: 69.508320","Age: 0 ex_fr_female$Type: Predicted Year: 1951 Ex: 69.207422","Age: 0 ex_fr_female$Type: Predicted Year: 1952 Ex: 70.529042","Age: 0 ex_fr_female$Type: Predicted Year: 1953 Ex: 70.527475","Age: 0 ex_fr_female$Type: Predicted Year: 1954 Ex: 71.512230","Age: 0 ex_fr_female$Type: Predicted Year: 1955 Ex: 71.832777","Age: 0 ex_fr_female$Type: Predicted Year: 1956 Ex: 71.961537","Age: 0 ex_fr_female$Type: Predicted Year: 1957 Ex: 72.495548","Age: 0 ex_fr_female$Type: Predicted Year: 1958 Ex: 73.509600","Age: 0 ex_fr_female$Type: Predicted Year: 1959 Ex: 73.640800","Age: 0 ex_fr_female$Type: Predicted Year: 1960 Ex: 73.888199","Age: 0 ex_fr_female$Type: Predicted Year: 1961 Ex: 74.638386","Age: 0 ex_fr_female$Type: Predicted Year: 1962 Ex: 74.170058","Age: 0 ex_fr_female$Type: Predicted Year: 1963 Ex: 74.081697","Age: 0 ex_fr_female$Type: Predicted Year: 1964 Ex: 75.093033","Age: 0 ex_fr_female$Type: Predicted Year: 1965 Ex: 74.990297","Age: 0 ex_fr_female$Type: Predicted Year: 1966 Ex: 75.445618","Age: 0 ex_fr_female$Type: Predicted Year: 1967 Ex: 75.467963","Age: 0 ex_fr_female$Type: Predicted Year: 1968 Ex: 75.483483","Age: 0 ex_fr_female$Type: Predicted Year: 1969 Ex: 75.316642","Age: 0 ex_fr_female$Type: Predicted Year: 1970 Ex: 76.074861","Age: 0 ex_fr_female$Type: Predicted Year: 1971 Ex: 76.135103","Age: 0 ex_fr_female$Type: Predicted Year: 1972 Ex: 76.451646","Age: 0 ex_fr_female$Type: Predicted Year: 1973 Ex: 76.576180","Age: 0 ex_fr_female$Type: Predicted Year: 1974 Ex: 77.005886","Age: 0 ex_fr_female$Type: Predicted Year: 1975 Ex: 77.129312","Age: 0 ex_fr_female$Type: Predicted Year: 1976 Ex: 77.452492","Age: 0 ex_fr_female$Type: Predicted Year: 1977 Ex: 78.093529","Age: 0 ex_fr_female$Type: Predicted Year: 1978 Ex: 78.211925","Age: 0 ex_fr_female$Type: Predicted Year: 1979 Ex: 78.534428","Age: 0 ex_fr_female$Type: Predicted Year: 1980 Ex: 78.654912","Age: 0 ex_fr_female$Type: Predicted Year: 1981 Ex: 78.752039","Age: 0 ex_fr_female$Type: Predicted Year: 1982 Ex: 79.144599","Age: 0 ex_fr_female$Type: Predicted Year: 1983 Ex: 79.069268","Age: 0 ex_fr_female$Type: Predicted Year: 1984 Ex: 79.608804","Age: 0 ex_fr_female$Type: Predicted Year: 1985 Ex: 79.701926","Age: 0 ex_fr_female$Type: Predicted Year: 1986 Ex: 79.963749","Age: 0 ex_fr_female$Type: Predicted Year: 1987 Ex: 80.548515","Age: 0 ex_fr_female$Type: Predicted Year: 1988 Ex: 80.738056","Age: 0 ex_fr_female$Type: 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1847 Ex: 41.977463","Age: 0 ex_fr_female$Type: Predicted Year: 1848 Ex: 41.921052","Age: 0 ex_fr_female$Type: Predicted Year: 1849 Ex: 37.572682","Age: 0 ex_fr_female$Type: Predicted Year: 1850 Ex: 44.706378","Age: 0 ex_fr_female$Type: Predicted Year: 1851 Ex: 43.201297","Age: 0 ex_fr_female$Type: Predicted Year: 1852 Ex: 42.762959","Age: 0 ex_fr_female$Type: Predicted Year: 1853 Ex: 43.943034","Age: 0 ex_fr_female$Type: Predicted Year: 1854 Ex: 37.883664","Age: 0 ex_fr_female$Type: Predicted Year: 1855 Ex: 40.293216","Age: 0 ex_fr_female$Type: Predicted Year: 1856 Ex: 42.130683","Age: 0 ex_fr_female$Type: Predicted Year: 1857 Ex: 41.091351","Age: 0 ex_fr_female$Type: Predicted Year: 1858 Ex: 40.945564","Age: 0 ex_fr_female$Type: Predicted Year: 1859 Ex: 37.093639","Age: 0 ex_fr_female$Type: Predicted Year: 1860 Ex: 44.587149","Age: 0 ex_fr_female$Type: Predicted Year: 1861 Ex: 41.970891","Age: 0 ex_fr_female$Type: Predicted Year: 1862 Ex: 44.130666","Age: 0 ex_fr_female$Type: Predicted Year: 1863 Ex: 43.364762","Age: 0 ex_fr_female$Type: Predicted Year: 1864 Ex: 43.656040","Age: 0 ex_fr_female$Type: Predicted Year: 1865 Ex: 41.859865","Age: 0 ex_fr_female$Type: Predicted Year: 1866 Ex: 43.341504","Age: 0 ex_fr_female$Type: Predicted Year: 1867 Ex: 44.072300","Age: 0 ex_fr_female$Type: Predicted Year: 1868 Ex: 42.164944","Age: 0 ex_fr_female$Type: Predicted Year: 1869 Ex: 43.017820","Age: 0 ex_fr_female$Type: Predicted Year: 1870 Ex: 39.410252","Age: 0 ex_fr_female$Type: Predicted Year: 1871 Ex: 33.590346","Age: 0 ex_fr_female$Type: Predicted Year: 1872 Ex: 44.479311","Age: 0 ex_fr_female$Type: Predicted Year: 1873 Ex: 43.713665","Age: 0 ex_fr_female$Type: Predicted Year: 1874 Ex: 46.077995","Age: 0 ex_fr_female$Type: Predicted Year: 1875 Ex: 44.902583","Age: 0 ex_fr_female$Type: Predicted Year: 1876 Ex: 45.500644","Age: 0 ex_fr_female$Type: Predicted Year: 1877 Ex: 46.085738","Age: 0 ex_fr_female$Type: Predicted Year: 1878 Ex: 45.259380","Age: 0 ex_fr_female$Type: Predicted Year: 1879 Ex: 45.864890","Age: 0 ex_fr_female$Type: Predicted Year: 1880 Ex: 44.661265","Age: 0 ex_fr_female$Type: Predicted Year: 1881 Ex: 45.456927","Age: 0 ex_fr_female$Type: Predicted Year: 1882 Ex: 45.223099","Age: 0 ex_fr_female$Type: Predicted Year: 1883 Ex: 45.361377","Age: 0 ex_fr_female$Type: Predicted Year: 1884 Ex: 44.674931","Age: 0 ex_fr_female$Type: Predicted Year: 1885 Ex: 46.034679","Age: 0 ex_fr_female$Type: Predicted Year: 1886 Ex: 45.298190","Age: 0 ex_fr_female$Type: Predicted Year: 1887 Ex: 45.789931","Age: 0 ex_fr_female$Type: Predicted Year: 1888 Ex: 46.488686","Age: 0 ex_fr_female$Type: Predicted Year: 1889 Ex: 47.747606","Age: 0 ex_fr_female$Type: Predicted Year: 1890 Ex: 45.652246","Age: 0 ex_fr_female$Type: Predicted Year: 1891 Ex: 46.317114","Age: 0 ex_fr_female$Type: Predicted Year: 1892 Ex: 45.943440","Age: 0 ex_fr_female$Type: Predicted Year: 1893 Ex: 46.032736","Age: 0 ex_fr_female$Type: Predicted Year: 1894 Ex: 47.924044","Age: 0 ex_fr_female$Type: Predicted Year: 1895 Ex: 47.727820","Age: 0 ex_fr_female$Type: Predicted Year: 1896 Ex: 49.825090","Age: 0 ex_fr_female$Type: Predicted Year: 1897 Ex: 50.298318","Age: 0 ex_fr_female$Type: Predicted Year: 1898 Ex: 48.547432","Age: 0 ex_fr_female$Type: Predicted Year: 1899 Ex: 47.834903","Age: 0 ex_fr_female$Type: Predicted Year: 1900 Ex: 47.777383","Age: 0 ex_fr_female$Type: Predicted Year: 1901 Ex: 49.595718","Age: 0 ex_fr_female$Type: Predicted Year: 1902 Ex: 50.454416","Age: 0 ex_fr_female$Type: Predicted Year: 1903 Ex: 50.804890","Age: 0 ex_fr_female$Type: Predicted Year: 1904 Ex: 50.523380","Age: 0 ex_fr_female$Type: Predicted Year: 1905 Ex: 50.940372","Age: 0 ex_fr_female$Type: Predicted Year: 1906 Ex: 50.391613","Age: 0 ex_fr_female$Type: Predicted Year: 1907 Ex: 50.899011","Age: 0 ex_fr_female$Type: Predicted Year: 1908 Ex: 51.952268","Age: 0 ex_fr_female$Type: Predicted Year: 1909 Ex: 52.613371","Age: 0 ex_fr_female$Type: Predicted Year: 1910 Ex: 53.872264","Age: 0 ex_fr_female$Type: Predicted Year: 1911 Ex: 50.945871","Age: 0 ex_fr_female$Type: Predicted Year: 1912 Ex: 54.270010","Age: 0 ex_fr_female$Type: Predicted Year: 1913 Ex: 53.993122","Age: 0 ex_fr_female$Type: Predicted Year: 1914 Ex: 53.832358","Age: 0 ex_fr_female$Type: Predicted Year: 1915 Ex: 53.250840","Age: 0 ex_fr_female$Type: Predicted Year: 1916 Ex: 53.024780","Age: 0 ex_fr_female$Type: Predicted Year: 1917 Ex: 52.550984","Age: 0 ex_fr_female$Type: Predicted Year: 1918 Ex: 43.695574","Age: 0 ex_fr_female$Type: Predicted Year: 1919 Ex: 50.980037","Age: 0 ex_fr_female$Type: Predicted Year: 1920 Ex: 54.289177","Age: 0 ex_fr_female$Type: Predicted Year: 1921 Ex: 55.334286","Age: 0 ex_fr_female$Type: Predicted Year: 1922 Ex: 57.269052","Age: 0 ex_fr_female$Type: Predicted Year: 1923 Ex: 57.150605","Age: 0 ex_fr_female$Type: Predicted Year: 1924 Ex: 57.817779","Age: 0 ex_fr_female$Type: Predicted Year: 1925 Ex: 57.139390","Age: 0 ex_fr_female$Type: Predicted Year: 1926 Ex: 56.651202","Age: 0 ex_fr_female$Type: Predicted Year: 1927 Ex: 58.212494","Age: 0 ex_fr_female$Type: Predicted Year: 1928 Ex: 58.008006","Age: 0 ex_fr_female$Type: Predicted Year: 1929 Ex: 57.010386","Age: 0 ex_fr_female$Type: Predicted Year: 1930 Ex: 59.718886","Age: 0 ex_fr_female$Type: Predicted Year: 1931 Ex: 59.653013","Age: 0 ex_fr_female$Type: Predicted Year: 1932 Ex: 60.115994","Age: 0 ex_fr_female$Type: Predicted Year: 1933 Ex: 60.581830","Age: 0 ex_fr_female$Type: Predicted Year: 1934 Ex: 61.566159","Age: 0 ex_fr_female$Type: Predicted Year: 1935 Ex: 61.522411","Age: 0 ex_fr_female$Type: Predicted Year: 1936 Ex: 62.067967","Age: 0 ex_fr_female$Type: Predicted Year: 1937 Ex: 62.485337","Age: 0 ex_fr_female$Type: Predicted Year: 1938 Ex: 62.380466","Age: 0 ex_fr_female$Type: Predicted Year: 1939 Ex: 62.947291","Age: 0 ex_fr_female$Type: Predicted Year: 1940 Ex: 59.455712","Age: 0 ex_fr_female$Type: Predicted Year: 1941 Ex: 61.608809","Age: 0 ex_fr_female$Type: Predicted Year: 1942 Ex: 61.840058","Age: 0 ex_fr_female$Type: Predicted Year: 1943 Ex: 58.475936","Age: 0 ex_fr_female$Type: Predicted Year: 1944 Ex: 54.022009","Age: 0 ex_fr_female$Type: Predicted Year: 1945 Ex: 59.132561","Age: 0 ex_fr_female$Type: Predicted Year: 1946 Ex: 65.366590","Age: 0 ex_fr_female$Type: Predicted Year: 1947 Ex: 67.029239","Age: 0 ex_fr_female$Type: Predicted Year: 1948 Ex: 69.057923","Age: 0 ex_fr_female$Type: Predicted Year: 1949 Ex: 67.860361","Age: 0 ex_fr_female$Type: Predicted Year: 1950 Ex: 69.508320","Age: 0 ex_fr_female$Type: Predicted Year: 1951 Ex: 69.207422","Age: 0 ex_fr_female$Type: Predicted Year: 1952 Ex: 70.529042","Age: 0 ex_fr_female$Type: Predicted Year: 1953 Ex: 70.527475","Age: 0 ex_fr_female$Type: Predicted Year: 1954 Ex: 71.512230","Age: 0 ex_fr_female$Type: Predicted Year: 1955 Ex: 71.832777","Age: 0 ex_fr_female$Type: Predicted Year: 1956 Ex: 71.961537","Age: 0 ex_fr_female$Type: Predicted Year: 1957 Ex: 72.495548","Age: 0 ex_fr_female$Type: Predicted Year: 1958 Ex: 73.509600","Age: 0 ex_fr_female$Type: Predicted Year: 1959 Ex: 73.640800","Age: 0 ex_fr_female$Type: Predicted Year: 1960 Ex: 73.888199","Age: 0 ex_fr_female$Type: Predicted Year: 1961 Ex: 74.638386","Age: 0 ex_fr_female$Type: Predicted Year: 1962 Ex: 74.170058","Age: 0 ex_fr_female$Type: Predicted Year: 1963 Ex: 74.081697","Age: 0 ex_fr_female$Type: Predicted Year: 1964 Ex: 75.093033","Age: 0 ex_fr_female$Type: Predicted Year: 1965 Ex: 74.990297","Age: 0 ex_fr_female$Type: Predicted Year: 1966 Ex: 75.445618","Age: 0 ex_fr_female$Type: Predicted Year: 1967 Ex: 75.467963","Age: 0 ex_fr_female$Type: Predicted Year: 1968 Ex: 75.483483","Age: 0 ex_fr_female$Type: Predicted Year: 1969 Ex: 75.316642","Age: 0 ex_fr_female$Type: Predicted Year: 1970 Ex: 76.074861","Age: 0 ex_fr_female$Type: Predicted Year: 1971 Ex: 76.135103","Age: 0 ex_fr_female$Type: Predicted Year: 1972 Ex: 76.451646","Age: 0 ex_fr_female$Type: Predicted Year: 1973 Ex: 76.576180","Age: 0 ex_fr_female$Type: Predicted Year: 1974 Ex: 77.005886","Age: 0 ex_fr_female$Type: Predicted Year: 1975 Ex: 77.129312","Age: 0 ex_fr_female$Type: Predicted Year: 1976 Ex: 77.452492","Age: 0 ex_fr_female$Type: Predicted Year: 1977 Ex: 78.093529","Age: 0 ex_fr_female$Type: Predicted Year: 1978 Ex: 78.211925","Age: 0 ex_fr_female$Type: Predicted Year: 1979 Ex: 78.534428","Age: 0 ex_fr_female$Type: Predicted Year: 1980 Ex: 78.654912","Age: 0 ex_fr_female$Type: Predicted Year: 1981 Ex: 78.752039","Age: 0 ex_fr_female$Type: Predicted Year: 1982 Ex: 79.144599","Age: 0 ex_fr_female$Type: Predicted Year: 1983 Ex: 79.069268","Age: 0 ex_fr_female$Type: Predicted Year: 1984 Ex: 79.608804","Age: 0 ex_fr_female$Type: Predicted Year: 1985 Ex: 79.701926","Age: 0 ex_fr_female$Type: Predicted Year: 1986 Ex: 79.963749","Age: 0 ex_fr_female$Type: Predicted Year: 1987 Ex: 80.548515","Age: 0 ex_fr_female$Type: Predicted Year: 1988 Ex: 80.738056","Age: 0 ex_fr_female$Type: Predicted Year: 1989 Ex: 80.915835","Age: 0 ex_fr_female$Type: Predicted Year: 1990 Ex: 81.217005","Age: 0 ex_fr_female$Type: Predicted Year: 1991 Ex: 81.421825","Age: 0 ex_fr_female$Type: Predicted Year: 1992 Ex: 81.710789","Age: 0 ex_fr_female$Type: Predicted Year: 1993 Ex: 81.708699","Age: 0 ex_fr_female$Type: Predicted Year: 1994 Ex: 82.136349","Age: 0 ex_fr_female$Type: Predicted Year: 1995 Ex: 82.148032","Age: 0 ex_fr_female$Type: Predicted Year: 1996 Ex: 82.299258","Age: 0 ex_fr_female$Type: Predicted Year: 1997 Ex: 82.558191","Age: 0 ex_fr_female$Type: Predicted Year: 1998 Ex: 82.663027","Age: 0 ex_fr_female$Type: Predicted Year: 1999 Ex: 82.764441","Age: 0 ex_fr_female$Type: Predicted Year: 2000 Ex: 83.047720","Age: 0 ex_fr_female$Type: Predicted Year: 2001 Ex: 83.191739","Age: 0 ex_fr_female$Type: Predicted Year: 2002 Ex: 83.287399","Age: 0 ex_fr_female$Type: Predicted Year: 2003 Ex: 83.197208","Age: 0 ex_fr_female$Type: Predicted Year: 2004 Ex: 84.108590","Age: 0 ex_fr_female$Type: Predicted Year: 2005 Ex: 84.068855","Age: 0 ex_fr_female$Type: Predicted Year: 2006 Ex: 84.422331","Age: 0 ex_fr_female$Type: Predicted Year: 2007 Ex: 84.625115","Age: 0 ex_fr_female$Type: Predicted Year: 2008 Ex: 84.569999","Age: 0 ex_fr_female$Type: Predicted Year: 2009 Ex: 84.666848","Age: 0 ex_fr_female$Type: Predicted Year: 2010 Ex: 84.902497","Age: 0 ex_fr_female$Type: Predicted Year: 2011 Ex: 85.237940","Age: 0 ex_fr_female$Type: Predicted Year: 2012 Ex: 85.091874","Age: 0 ex_fr_female$Type: Predicted Year: 2013 Ex: 85.292497","Age: 0 ex_fr_female$Type: Predicted Year: 2014 Ex: 85.680357","Age: 0 ex_fr_female$Type: Predicted Year: 2015 Ex: 85.389724","Age: 0 ex_fr_female$Type: Predicted Year: 2016 Ex: 85.571841","Age: 0 ex_fr_female$Type: Predicted Year: 2017 Ex: 85.526283"],"frame":"0","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"1","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[48.22,46.92,45.75,44.83,46.59,47.17,46.63,48.1,47.36,46.09,45.16,46.97,45.1,46.77,46.77,46.76,42.61,45.99,42.99,46.85,49.16,46.16,46.41,47.64,46.88,47.46,47.24,47.38,48.88,49.71,47.56,47.06,47.09,42.62,49.62,48.55,48.18,48.82,43.05,45.32,47.5,47.16,46.68,43.64,49.53,48.06,49.82,49.59,49.68,47.96,48.64,50.08,48.59,49.12,45.37,39.04,50.5,49.98,51.98,50.54,51.21,51.8,51.31,51.56,50.71,51.21,51.08,51.23,51.03,51.48,51.1,51.6,52.43,53.6,51.46,51.91,52.63,52.51,53.76,53.94,55.35,56.28,55.2,54.61,54.14,55.52,56.02,56.42,56.55,56.46,56.28,56.16,57.39,57.39,58.44,57.32,58.76,58.75,58.41,57.46,58.39,58.1,48.89,56.47,59.24,60.27,60.66,61.23,61.27,60.72,60.63,61.62,61.84,60.92,63.03,62.6,63.22,63.57,64.38,64.14,64.73,65.12,65.03,65.53,63.02,64.82,64.91,61.56,56.75,64.14,68.9,70.07,71.21,70.23,71.41,71,72.11,71.8,72.81,72.99,72.96,73.39,74.27,74.28,74.38,75.06,74.53,74.48,75.36,75.16,75.59,75.55,75.58,75.35,76.04,76.03,76.27,76.35,76.71,76.78,77.04,77.62,77.69,77.99,78.1,78.16,78.54,78.43,78.95,79.02,79.28,79.82,80.03,80.19,80.48,80.67,80.92,80.9,81.31,81.26,81.39,81.65,81.76,81.83,82.12,82.27,82.34,82.24,83.16,83.09,83.45,83.63,83.61,83.7,83.93,84.25,84.11,84.32,84.7,84.42,84.6,84.58],"text":["Age: 1 ex_fr_female$Type: Observed Year: 1816 Ex: 48.220000","Age: 1 ex_fr_female$Type: Observed Year: 1817 Ex: 46.920000","Age: 1 ex_fr_female$Type: Observed Year: 1818 Ex: 45.750000","Age: 1 ex_fr_female$Type: Observed Year: 1819 Ex: 44.830000","Age: 1 ex_fr_female$Type: Observed Year: 1820 Ex: 46.590000","Age: 1 ex_fr_female$Type: Observed Year: 1821 Ex: 47.170000","Age: 1 ex_fr_female$Type: Observed Year: 1822 Ex: 46.630000","Age: 1 ex_fr_female$Type: Observed Year: 1823 Ex: 48.100000","Age: 1 ex_fr_female$Type: Observed Year: 1824 Ex: 47.360000","Age: 1 ex_fr_female$Type: Observed Year: 1825 Ex: 46.090000","Age: 1 ex_fr_female$Type: Observed Year: 1826 Ex: 45.160000","Age: 1 ex_fr_female$Type: Observed Year: 1827 Ex: 46.970000","Age: 1 ex_fr_female$Type: Observed Year: 1828 Ex: 45.100000","Age: 1 ex_fr_female$Type: Observed Year: 1829 Ex: 46.770000","Age: 1 ex_fr_female$Type: Observed Year: 1830 Ex: 46.770000","Age: 1 ex_fr_female$Type: Observed Year: 1831 Ex: 46.760000","Age: 1 ex_fr_female$Type: Observed Year: 1832 Ex: 42.610000","Age: 1 ex_fr_female$Type: Observed Year: 1833 Ex: 45.990000","Age: 1 ex_fr_female$Type: Observed Year: 1834 Ex: 42.990000","Age: 1 ex_fr_female$Type: Observed Year: 1835 Ex: 46.850000","Age: 1 ex_fr_female$Type: Observed Year: 1836 Ex: 49.160000","Age: 1 ex_fr_female$Type: Observed Year: 1837 Ex: 46.160000","Age: 1 ex_fr_female$Type: Observed Year: 1838 Ex: 46.410000","Age: 1 ex_fr_female$Type: Observed Year: 1839 Ex: 47.640000","Age: 1 ex_fr_female$Type: Observed Year: 1840 Ex: 46.880000","Age: 1 ex_fr_female$Type: Observed Year: 1841 Ex: 47.460000","Age: 1 ex_fr_female$Type: Observed Year: 1842 Ex: 47.240000","Age: 1 ex_fr_female$Type: Observed Year: 1843 Ex: 47.380000","Age: 1 ex_fr_female$Type: Observed Year: 1844 Ex: 48.880000","Age: 1 ex_fr_female$Type: Observed Year: 1845 Ex: 49.710000","Age: 1 ex_fr_female$Type: Observed Year: 1846 Ex: 47.560000","Age: 1 ex_fr_female$Type: Observed Year: 1847 Ex: 47.060000","Age: 1 ex_fr_female$Type: Observed Year: 1848 Ex: 47.090000","Age: 1 ex_fr_female$Type: Observed Year: 1849 Ex: 42.620000","Age: 1 ex_fr_female$Type: Observed Year: 1850 Ex: 49.620000","Age: 1 ex_fr_female$Type: Observed Year: 1851 Ex: 48.550000","Age: 1 ex_fr_female$Type: Observed Year: 1852 Ex: 48.180000","Age: 1 ex_fr_female$Type: Observed Year: 1853 Ex: 48.820000","Age: 1 ex_fr_female$Type: Observed Year: 1854 Ex: 43.050000","Age: 1 ex_fr_female$Type: Observed Year: 1855 Ex: 45.320000","Age: 1 ex_fr_female$Type: Observed Year: 1856 Ex: 47.500000","Age: 1 ex_fr_female$Type: Observed Year: 1857 Ex: 47.160000","Age: 1 ex_fr_female$Type: Observed Year: 1858 Ex: 46.680000","Age: 1 ex_fr_female$Type: Observed Year: 1859 Ex: 43.640000","Age: 1 ex_fr_female$Type: Observed Year: 1860 Ex: 49.530000","Age: 1 ex_fr_female$Type: Observed Year: 1861 Ex: 48.060000","Age: 1 ex_fr_female$Type: Observed Year: 1862 Ex: 49.820000","Age: 1 ex_fr_female$Type: Observed Year: 1863 Ex: 49.590000","Age: 1 ex_fr_female$Type: Observed Year: 1864 Ex: 49.680000","Age: 1 ex_fr_female$Type: Observed Year: 1865 Ex: 47.960000","Age: 1 ex_fr_female$Type: Observed Year: 1866 Ex: 48.640000","Age: 1 ex_fr_female$Type: Observed Year: 1867 Ex: 50.080000","Age: 1 ex_fr_female$Type: Observed Year: 1868 Ex: 48.590000","Age: 1 ex_fr_female$Type: Observed Year: 1869 Ex: 49.120000","Age: 1 ex_fr_female$Type: Observed Year: 1870 Ex: 45.370000","Age: 1 ex_fr_female$Type: Observed Year: 1871 Ex: 39.040000","Age: 1 ex_fr_female$Type: Observed Year: 1872 Ex: 50.500000","Age: 1 ex_fr_female$Type: Observed Year: 1873 Ex: 49.980000","Age: 1 ex_fr_female$Type: Observed Year: 1874 Ex: 51.980000","Age: 1 ex_fr_female$Type: Observed Year: 1875 Ex: 50.540000","Age: 1 ex_fr_female$Type: Observed Year: 1876 Ex: 51.210000","Age: 1 ex_fr_female$Type: Observed Year: 1877 Ex: 51.800000","Age: 1 ex_fr_female$Type: Observed Year: 1878 Ex: 51.310000","Age: 1 ex_fr_female$Type: Observed Year: 1879 Ex: 51.560000","Age: 1 ex_fr_female$Type: Observed Year: 1880 Ex: 50.710000","Age: 1 ex_fr_female$Type: Observed Year: 1881 Ex: 51.210000","Age: 1 ex_fr_female$Type: Observed Year: 1882 Ex: 51.080000","Age: 1 ex_fr_female$Type: Observed Year: 1883 Ex: 51.230000","Age: 1 ex_fr_female$Type: Observed Year: 1884 Ex: 51.030000","Age: 1 ex_fr_female$Type: Observed Year: 1885 Ex: 51.480000","Age: 1 ex_fr_female$Type: Observed Year: 1886 Ex: 51.100000","Age: 1 ex_fr_female$Type: Observed Year: 1887 Ex: 51.600000","Age: 1 ex_fr_female$Type: Observed Year: 1888 Ex: 52.430000","Age: 1 ex_fr_female$Type: Observed Year: 1889 Ex: 53.600000","Age: 1 ex_fr_female$Type: Observed Year: 1890 Ex: 51.460000","Age: 1 ex_fr_female$Type: Observed Year: 1891 Ex: 51.910000","Age: 1 ex_fr_female$Type: Observed Year: 1892 Ex: 52.630000","Age: 1 ex_fr_female$Type: Observed Year: 1893 Ex: 52.510000","Age: 1 ex_fr_female$Type: Observed Year: 1894 Ex: 53.760000","Age: 1 ex_fr_female$Type: Observed Year: 1895 Ex: 53.940000","Age: 1 ex_fr_female$Type: Observed Year: 1896 Ex: 55.350000","Age: 1 ex_fr_female$Type: Observed Year: 1897 Ex: 56.280000","Age: 1 ex_fr_female$Type: Observed Year: 1898 Ex: 55.200000","Age: 1 ex_fr_female$Type: Observed Year: 1899 Ex: 54.610000","Age: 1 ex_fr_female$Type: Observed Year: 1900 Ex: 54.140000","Age: 1 ex_fr_female$Type: Observed Year: 1901 Ex: 55.520000","Age: 1 ex_fr_female$Type: Observed Year: 1902 Ex: 56.020000","Age: 1 ex_fr_female$Type: Observed Year: 1903 Ex: 56.420000","Age: 1 ex_fr_female$Type: Observed Year: 1904 Ex: 56.550000","Age: 1 ex_fr_female$Type: Observed Year: 1905 Ex: 56.460000","Age: 1 ex_fr_female$Type: Observed Year: 1906 Ex: 56.280000","Age: 1 ex_fr_female$Type: Observed Year: 1907 Ex: 56.160000","Age: 1 ex_fr_female$Type: Observed Year: 1908 Ex: 57.390000","Age: 1 ex_fr_female$Type: Observed Year: 1909 Ex: 57.390000","Age: 1 ex_fr_female$Type: Observed Year: 1910 Ex: 58.440000","Age: 1 ex_fr_female$Type: Observed Year: 1911 Ex: 57.320000","Age: 1 ex_fr_female$Type: Observed Year: 1912 Ex: 58.760000","Age: 1 ex_fr_female$Type: Observed Year: 1913 Ex: 58.750000","Age: 1 ex_fr_female$Type: Observed Year: 1914 Ex: 58.410000","Age: 1 ex_fr_female$Type: Observed Year: 1915 Ex: 57.460000","Age: 1 ex_fr_female$Type: Observed Year: 1916 Ex: 58.390000","Age: 1 ex_fr_female$Type: Observed Year: 1917 Ex: 58.100000","Age: 1 ex_fr_female$Type: Observed Year: 1918 Ex: 48.890000","Age: 1 ex_fr_female$Type: Observed Year: 1919 Ex: 56.470000","Age: 1 ex_fr_female$Type: Observed Year: 1920 Ex: 59.240000","Age: 1 ex_fr_female$Type: Observed Year: 1921 Ex: 60.270000","Age: 1 ex_fr_female$Type: Observed Year: 1922 Ex: 60.660000","Age: 1 ex_fr_female$Type: Observed Year: 1923 Ex: 61.230000","Age: 1 ex_fr_female$Type: Observed Year: 1924 Ex: 61.270000","Age: 1 ex_fr_female$Type: Observed Year: 1925 Ex: 60.720000","Age: 1 ex_fr_female$Type: Observed Year: 1926 Ex: 60.630000","Age: 1 ex_fr_female$Type: Observed Year: 1927 Ex: 61.620000","Age: 1 ex_fr_female$Type: Observed Year: 1928 Ex: 61.840000","Age: 1 ex_fr_female$Type: Observed Year: 1929 Ex: 60.920000","Age: 1 ex_fr_female$Type: Observed Year: 1930 Ex: 63.030000","Age: 1 ex_fr_female$Type: Observed Year: 1931 Ex: 62.600000","Age: 1 ex_fr_female$Type: Observed Year: 1932 Ex: 63.220000","Age: 1 ex_fr_female$Type: Observed Year: 1933 Ex: 63.570000","Age: 1 ex_fr_female$Type: Observed Year: 1934 Ex: 64.380000","Age: 1 ex_fr_female$Type: Observed Year: 1935 Ex: 64.140000","Age: 1 ex_fr_female$Type: Observed Year: 1936 Ex: 64.730000","Age: 1 ex_fr_female$Type: Observed Year: 1937 Ex: 65.120000","Age: 1 ex_fr_female$Type: Observed Year: 1938 Ex: 65.030000","Age: 1 ex_fr_female$Type: Observed Year: 1939 Ex: 65.530000","Age: 1 ex_fr_female$Type: Observed Year: 1940 Ex: 63.020000","Age: 1 ex_fr_female$Type: Observed Year: 1941 Ex: 64.820000","Age: 1 ex_fr_female$Type: Observed Year: 1942 Ex: 64.910000","Age: 1 ex_fr_female$Type: Observed Year: 1943 Ex: 61.560000","Age: 1 ex_fr_female$Type: Observed Year: 1944 Ex: 56.750000","Age: 1 ex_fr_female$Type: Observed Year: 1945 Ex: 64.140000","Age: 1 ex_fr_female$Type: Observed Year: 1946 Ex: 68.900000","Age: 1 ex_fr_female$Type: Observed Year: 1947 Ex: 70.070000","Age: 1 ex_fr_female$Type: Observed Year: 1948 Ex: 71.210000","Age: 1 ex_fr_female$Type: Observed Year: 1949 Ex: 70.230000","Age: 1 ex_fr_female$Type: Observed Year: 1950 Ex: 71.410000","Age: 1 ex_fr_female$Type: Observed Year: 1951 Ex: 71.000000","Age: 1 ex_fr_female$Type: Observed Year: 1952 Ex: 72.110000","Age: 1 ex_fr_female$Type: Observed Year: 1953 Ex: 71.800000","Age: 1 ex_fr_female$Type: Observed Year: 1954 Ex: 72.810000","Age: 1 ex_fr_female$Type: Observed Year: 1955 Ex: 72.990000","Age: 1 ex_fr_female$Type: Observed Year: 1956 Ex: 72.960000","Age: 1 ex_fr_female$Type: Observed Year: 1957 Ex: 73.390000","Age: 1 ex_fr_female$Type: Observed Year: 1958 Ex: 74.270000","Age: 1 ex_fr_female$Type: Observed Year: 1959 Ex: 74.280000","Age: 1 ex_fr_female$Type: Observed Year: 1960 Ex: 74.380000","Age: 1 ex_fr_female$Type: Observed Year: 1961 Ex: 75.060000","Age: 1 ex_fr_female$Type: Observed Year: 1962 Ex: 74.530000","Age: 1 ex_fr_female$Type: Observed Year: 1963 Ex: 74.480000","Age: 1 ex_fr_female$Type: Observed Year: 1964 Ex: 75.360000","Age: 1 ex_fr_female$Type: Observed Year: 1965 Ex: 75.160000","Age: 1 ex_fr_female$Type: Observed Year: 1966 Ex: 75.590000","Age: 1 ex_fr_female$Type: Observed Year: 1967 Ex: 75.550000","Age: 1 ex_fr_female$Type: Observed Year: 1968 Ex: 75.580000","Age: 1 ex_fr_female$Type: Observed Year: 1969 Ex: 75.350000","Age: 1 ex_fr_female$Type: Observed Year: 1970 Ex: 76.040000","Age: 1 ex_fr_female$Type: Observed Year: 1971 Ex: 76.030000","Age: 1 ex_fr_female$Type: Observed Year: 1972 Ex: 76.270000","Age: 1 ex_fr_female$Type: Observed Year: 1973 Ex: 76.350000","Age: 1 ex_fr_female$Type: Observed Year: 1974 Ex: 76.710000","Age: 1 ex_fr_female$Type: Observed Year: 1975 Ex: 76.780000","Age: 1 ex_fr_female$Type: Observed Year: 1976 Ex: 77.040000","Age: 1 ex_fr_female$Type: Observed Year: 1977 Ex: 77.620000","Age: 1 ex_fr_female$Type: Observed Year: 1978 Ex: 77.690000","Age: 1 ex_fr_female$Type: Observed Year: 1979 Ex: 77.990000","Age: 1 ex_fr_female$Type: Observed Year: 1980 Ex: 78.100000","Age: 1 ex_fr_female$Type: Observed Year: 1981 Ex: 78.160000","Age: 1 ex_fr_female$Type: Observed Year: 1982 Ex: 78.540000","Age: 1 ex_fr_female$Type: Observed Year: 1983 Ex: 78.430000","Age: 1 ex_fr_female$Type: Observed Year: 1984 Ex: 78.950000","Age: 1 ex_fr_female$Type: Observed Year: 1985 Ex: 79.020000","Age: 1 ex_fr_female$Type: Observed Year: 1986 Ex: 79.280000","Age: 1 ex_fr_female$Type: Observed Year: 1987 Ex: 79.820000","Age: 1 ex_fr_female$Type: Observed Year: 1988 Ex: 80.030000","Age: 1 ex_fr_female$Type: Observed Year: 1989 Ex: 80.190000","Age: 1 ex_fr_female$Type: Observed Year: 1990 Ex: 80.480000","Age: 1 ex_fr_female$Type: Observed Year: 1991 Ex: 80.670000","Age: 1 ex_fr_female$Type: Observed Year: 1992 Ex: 80.920000","Age: 1 ex_fr_female$Type: Observed Year: 1993 Ex: 80.900000","Age: 1 ex_fr_female$Type: Observed Year: 1994 Ex: 81.310000","Age: 1 ex_fr_female$Type: Observed Year: 1995 Ex: 81.260000","Age: 1 ex_fr_female$Type: Observed Year: 1996 Ex: 81.390000","Age: 1 ex_fr_female$Type: Observed Year: 1997 Ex: 81.650000","Age: 1 ex_fr_female$Type: Observed Year: 1998 Ex: 81.760000","Age: 1 ex_fr_female$Type: Observed Year: 1999 Ex: 81.830000","Age: 1 ex_fr_female$Type: Observed Year: 2000 Ex: 82.120000","Age: 1 ex_fr_female$Type: Observed Year: 2001 Ex: 82.270000","Age: 1 ex_fr_female$Type: Observed Year: 2002 Ex: 82.340000","Age: 1 ex_fr_female$Type: Observed Year: 2003 Ex: 82.240000","Age: 1 ex_fr_female$Type: Observed Year: 2004 Ex: 83.160000","Age: 1 ex_fr_female$Type: Observed Year: 2005 Ex: 83.090000","Age: 1 ex_fr_female$Type: Observed Year: 2006 Ex: 83.450000","Age: 1 ex_fr_female$Type: Observed Year: 2007 Ex: 83.630000","Age: 1 ex_fr_female$Type: Observed Year: 2008 Ex: 83.610000","Age: 1 ex_fr_female$Type: Observed Year: 2009 Ex: 83.700000","Age: 1 ex_fr_female$Type: Observed Year: 2010 Ex: 83.930000","Age: 1 ex_fr_female$Type: Observed Year: 2011 Ex: 84.250000","Age: 1 ex_fr_female$Type: Observed Year: 2012 Ex: 84.110000","Age: 1 ex_fr_female$Type: Observed Year: 2013 Ex: 84.320000","Age: 1 ex_fr_female$Type: Observed Year: 2014 Ex: 84.700000","Age: 1 ex_fr_female$Type: Observed Year: 2015 Ex: 84.420000","Age: 1 ex_fr_female$Type: Observed Year: 2016 Ex: 84.600000","Age: 1 ex_fr_female$Type: Observed Year: 2017 Ex: 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1847 Ex: 47.387139","Age: 1 ex_fr_female$Type: Predicted Year: 1848 Ex: 47.431262","Age: 1 ex_fr_female$Type: Predicted Year: 1849 Ex: 43.009156","Age: 1 ex_fr_female$Type: Predicted Year: 1850 Ex: 49.929136","Age: 1 ex_fr_female$Type: Predicted Year: 1851 Ex: 48.884418","Age: 1 ex_fr_female$Type: Predicted Year: 1852 Ex: 48.509844","Age: 1 ex_fr_female$Type: Predicted Year: 1853 Ex: 49.132063","Age: 1 ex_fr_female$Type: Predicted Year: 1854 Ex: 43.418311","Age: 1 ex_fr_female$Type: Predicted Year: 1855 Ex: 45.672750","Age: 1 ex_fr_female$Type: Predicted Year: 1856 Ex: 47.835406","Age: 1 ex_fr_female$Type: Predicted Year: 1857 Ex: 47.497851","Age: 1 ex_fr_female$Type: Predicted Year: 1858 Ex: 47.018299","Age: 1 ex_fr_female$Type: Predicted Year: 1859 Ex: 44.061895","Age: 1 ex_fr_female$Type: Predicted Year: 1860 Ex: 49.853777","Age: 1 ex_fr_female$Type: Predicted Year: 1861 Ex: 48.416557","Age: 1 ex_fr_female$Type: Predicted Year: 1862 Ex: 50.133045","Age: 1 ex_fr_female$Type: Predicted Year: 1863 Ex: 49.921916","Age: 1 ex_fr_female$Type: Predicted Year: 1864 Ex: 49.993988","Age: 1 ex_fr_female$Type: Predicted Year: 1865 Ex: 48.299844","Age: 1 ex_fr_female$Type: Predicted Year: 1866 Ex: 48.956005","Age: 1 ex_fr_female$Type: Predicted Year: 1867 Ex: 50.395952","Age: 1 ex_fr_female$Type: Predicted Year: 1868 Ex: 48.926879","Age: 1 ex_fr_female$Type: Predicted Year: 1869 Ex: 49.440363","Age: 1 ex_fr_female$Type: Predicted Year: 1870 Ex: 45.713905","Age: 1 ex_fr_female$Type: Predicted Year: 1871 Ex: 39.441459","Age: 1 ex_fr_female$Type: Predicted Year: 1872 Ex: 50.810427","Age: 1 ex_fr_female$Type: Predicted Year: 1873 Ex: 50.293459","Age: 1 ex_fr_female$Type: Predicted Year: 1874 Ex: 52.272851","Age: 1 ex_fr_female$Type: Predicted Year: 1875 Ex: 50.844226","Age: 1 ex_fr_female$Type: Predicted Year: 1876 Ex: 51.499704","Age: 1 ex_fr_female$Type: Predicted Year: 1877 Ex: 52.087978","Age: 1 ex_fr_female$Type: Predicted Year: 1878 Ex: 51.608242","Age: 1 ex_fr_female$Type: Predicted Year: 1879 Ex: 51.842676","Age: 1 ex_fr_female$Type: Predicted Year: 1880 Ex: 51.015456","Age: 1 ex_fr_female$Type: Predicted Year: 1881 Ex: 51.511893","Age: 1 ex_fr_female$Type: Predicted Year: 1882 Ex: 51.372111","Age: 1 ex_fr_female$Type: Predicted Year: 1883 Ex: 51.521506","Age: 1 ex_fr_female$Type: Predicted Year: 1884 Ex: 51.335612","Age: 1 ex_fr_female$Type: Predicted Year: 1885 Ex: 51.778402","Age: 1 ex_fr_female$Type: Predicted Year: 1886 Ex: 51.402291","Age: 1 ex_fr_female$Type: Predicted Year: 1887 Ex: 51.895575","Age: 1 ex_fr_female$Type: Predicted Year: 1888 Ex: 52.726964","Age: 1 ex_fr_female$Type: Predicted Year: 1889 Ex: 53.885284","Age: 1 ex_fr_female$Type: Predicted Year: 1890 Ex: 51.773062","Age: 1 ex_fr_female$Type: Predicted Year: 1891 Ex: 52.205838","Age: 1 ex_fr_female$Type: Predicted Year: 1892 Ex: 52.924022","Age: 1 ex_fr_female$Type: Predicted Year: 1893 Ex: 52.802146","Age: 1 ex_fr_female$Type: Predicted Year: 1894 Ex: 54.042316","Age: 1 ex_fr_female$Type: Predicted Year: 1895 Ex: 54.221613","Age: 1 ex_fr_female$Type: Predicted Year: 1896 Ex: 55.622224","Age: 1 ex_fr_female$Type: Predicted Year: 1897 Ex: 56.542098","Age: 1 ex_fr_female$Type: Predicted Year: 1898 Ex: 55.471039","Age: 1 ex_fr_female$Type: Predicted Year: 1899 Ex: 54.876709","Age: 1 ex_fr_female$Type: Predicted Year: 1900 Ex: 54.407530","Age: 1 ex_fr_female$Type: Predicted Year: 1901 Ex: 55.781383","Age: 1 ex_fr_female$Type: Predicted Year: 1902 Ex: 56.281228","Age: 1 ex_fr_female$Type: Predicted Year: 1903 Ex: 56.681321","Age: 1 ex_fr_female$Type: Predicted Year: 1904 Ex: 56.812564","Age: 1 ex_fr_female$Type: Predicted Year: 1905 Ex: 56.709964","Age: 1 ex_fr_female$Type: Predicted Year: 1906 Ex: 56.533688","Age: 1 ex_fr_female$Type: Predicted Year: 1907 Ex: 56.412270","Age: 1 ex_fr_female$Type: Predicted Year: 1908 Ex: 57.645981","Age: 1 ex_fr_female$Type: Predicted Year: 1909 Ex: 57.637477","Age: 1 ex_fr_female$Type: Predicted Year: 1910 Ex: 58.693608","Age: 1 ex_fr_female$Type: Predicted Year: 1911 Ex: 57.578965","Age: 1 ex_fr_female$Type: Predicted Year: 1912 Ex: 59.015273","Age: 1 ex_fr_female$Type: Predicted Year: 1913 Ex: 59.004600","Age: 1 ex_fr_female$Type: Predicted Year: 1914 Ex: 58.661805","Age: 1 ex_fr_female$Type: Predicted Year: 1915 Ex: 57.717122","Age: 1 ex_fr_female$Type: Predicted Year: 1916 Ex: 58.642163","Age: 1 ex_fr_female$Type: Predicted Year: 1917 Ex: 58.355661","Age: 1 ex_fr_female$Type: Predicted Year: 1918 Ex: 49.173169","Age: 1 ex_fr_female$Type: Predicted Year: 1919 Ex: 56.719324","Age: 1 ex_fr_female$Type: Predicted Year: 1920 Ex: 59.484134","Age: 1 ex_fr_female$Type: Predicted Year: 1921 Ex: 60.514836","Age: 1 ex_fr_female$Type: Predicted Year: 1922 Ex: 60.899486","Age: 1 ex_fr_female$Type: Predicted Year: 1923 Ex: 61.468911","Age: 1 ex_fr_female$Type: Predicted Year: 1924 Ex: 61.510979","Age: 1 ex_fr_female$Type: Predicted Year: 1925 Ex: 60.967604","Age: 1 ex_fr_female$Type: Predicted Year: 1926 Ex: 60.875253","Age: 1 ex_fr_female$Type: Predicted Year: 1927 Ex: 61.858022","Age: 1 ex_fr_female$Type: Predicted Year: 1928 Ex: 62.083681","Age: 1 ex_fr_female$Type: Predicted Year: 1929 Ex: 61.159645","Age: 1 ex_fr_female$Type: Predicted Year: 1930 Ex: 63.274563","Age: 1 ex_fr_female$Type: Predicted Year: 1931 Ex: 62.838550","Age: 1 ex_fr_female$Type: Predicted Year: 1932 Ex: 63.460320","Age: 1 ex_fr_female$Type: Predicted Year: 1933 Ex: 63.804755","Age: 1 ex_fr_female$Type: Predicted Year: 1934 Ex: 64.620537","Age: 1 ex_fr_female$Type: Predicted Year: 1935 Ex: 64.378764","Age: 1 ex_fr_female$Type: Predicted Year: 1936 Ex: 64.973213","Age: 1 ex_fr_female$Type: Predicted Year: 1937 Ex: 65.361658","Age: 1 ex_fr_female$Type: Predicted Year: 1938 Ex: 65.272608","Age: 1 ex_fr_female$Type: Predicted Year: 1939 Ex: 65.768211","Age: 1 ex_fr_female$Type: Predicted Year: 1940 Ex: 63.255564","Age: 1 ex_fr_female$Type: Predicted Year: 1941 Ex: 65.052072","Age: 1 ex_fr_female$Type: Predicted Year: 1942 Ex: 65.145504","Age: 1 ex_fr_female$Type: Predicted Year: 1943 Ex: 61.799850","Age: 1 ex_fr_female$Type: Predicted Year: 1944 Ex: 56.996470","Age: 1 ex_fr_female$Type: Predicted Year: 1945 Ex: 64.373313","Age: 1 ex_fr_female$Type: Predicted Year: 1946 Ex: 69.140934","Age: 1 ex_fr_female$Type: Predicted Year: 1947 Ex: 70.315068","Age: 1 ex_fr_female$Type: Predicted Year: 1948 Ex: 71.453379","Age: 1 ex_fr_female$Type: Predicted Year: 1949 Ex: 70.475066","Age: 1 ex_fr_female$Type: Predicted Year: 1950 Ex: 71.653403","Age: 1 ex_fr_female$Type: Predicted Year: 1951 Ex: 71.249006","Age: 1 ex_fr_female$Type: Predicted Year: 1952 Ex: 72.356023","Age: 1 ex_fr_female$Type: Predicted Year: 1953 Ex: 72.053293","Age: 1 ex_fr_female$Type: Predicted Year: 1954 Ex: 73.061792","Age: 1 ex_fr_female$Type: Predicted Year: 1955 Ex: 73.237314","Age: 1 ex_fr_female$Type: Predicted Year: 1956 Ex: 73.211723","Age: 1 ex_fr_female$Type: Predicted Year: 1957 Ex: 73.635640","Age: 1 ex_fr_female$Type: Predicted Year: 1958 Ex: 74.521341","Age: 1 ex_fr_female$Type: Predicted Year: 1959 Ex: 74.529977","Age: 1 ex_fr_female$Type: Predicted Year: 1960 Ex: 74.631824","Age: 1 ex_fr_female$Type: Predicted Year: 1961 Ex: 75.312588","Age: 1 ex_fr_female$Type: Predicted Year: 1962 Ex: 74.783222","Age: 1 ex_fr_female$Type: Predicted Year: 1963 Ex: 74.735051","Age: 1 ex_fr_female$Type: Predicted Year: 1964 Ex: 75.607574","Age: 1 ex_fr_female$Type: Predicted Year: 1965 Ex: 75.411595","Age: 1 ex_fr_female$Type: Predicted Year: 1966 Ex: 75.844293","Age: 1 ex_fr_female$Type: Predicted Year: 1967 Ex: 75.807507","Age: 1 ex_fr_female$Type: Predicted Year: 1968 Ex: 75.827122","Age: 1 ex_fr_female$Type: Predicted Year: 1969 Ex: 75.600950","Age: 1 ex_fr_female$Type: Predicted Year: 1970 Ex: 76.286131","Age: 1 ex_fr_female$Type: Predicted Year: 1971 Ex: 76.277435","Age: 1 ex_fr_female$Type: Predicted Year: 1972 Ex: 76.520924","Age: 1 ex_fr_female$Type: Predicted Year: 1973 Ex: 76.596309","Age: 1 ex_fr_female$Type: Predicted Year: 1974 Ex: 76.958928","Age: 1 ex_fr_female$Type: Predicted Year: 1975 Ex: 77.031926","Age: 1 ex_fr_female$Type: Predicted Year: 1976 Ex: 77.295093","Age: 1 ex_fr_female$Type: Predicted Year: 1977 Ex: 77.875714","Age: 1 ex_fr_female$Type: Predicted Year: 1978 Ex: 77.940376","Age: 1 ex_fr_female$Type: Predicted Year: 1979 Ex: 78.243850","Age: 1 ex_fr_female$Type: Predicted Year: 1980 Ex: 78.347291","Age: 1 ex_fr_female$Type: Predicted Year: 1981 Ex: 78.405815","Age: 1 ex_fr_female$Type: Predicted Year: 1982 Ex: 78.791347","Age: 1 ex_fr_female$Type: Predicted Year: 1983 Ex: 78.680549","Age: 1 ex_fr_female$Type: Predicted Year: 1984 Ex: 79.203556","Age: 1 ex_fr_female$Type: Predicted Year: 1985 Ex: 79.271847","Age: 1 ex_fr_female$Type: Predicted Year: 1986 Ex: 79.529952","Age: 1 ex_fr_female$Type: Predicted Year: 1987 Ex: 80.075362","Age: 1 ex_fr_female$Type: Predicted Year: 1988 Ex: 80.284728","Age: 1 ex_fr_female$Type: Predicted Year: 1989 Ex: 80.436196","Age: 1 ex_fr_female$Type: Predicted Year: 1990 Ex: 80.726317","Age: 1 ex_fr_female$Type: Predicted Year: 1991 Ex: 80.924287","Age: 1 ex_fr_female$Type: Predicted Year: 1992 Ex: 81.174197","Age: 1 ex_fr_female$Type: Predicted Year: 1993 Ex: 81.145148","Age: 1 ex_fr_female$Type: Predicted Year: 1994 Ex: 81.555400","Age: 1 ex_fr_female$Type: Predicted Year: 1995 Ex: 81.512176","Age: 1 ex_fr_female$Type: Predicted Year: 1996 Ex: 81.642717","Age: 1 ex_fr_female$Type: Predicted Year: 1997 Ex: 81.899440","Age: 1 ex_fr_female$Type: Predicted Year: 1998 Ex: 82.012139","Age: 1 ex_fr_female$Type: Predicted Year: 1999 Ex: 82.084248","Age: 1 ex_fr_female$Type: Predicted Year: 2000 Ex: 82.371943","Age: 1 ex_fr_female$Type: Predicted Year: 2001 Ex: 82.523169","Age: 1 ex_fr_female$Type: Predicted Year: 2002 Ex: 82.595942","Age: 1 ex_fr_female$Type: Predicted Year: 2003 Ex: 82.492965","Age: 1 ex_fr_female$Type: Predicted Year: 2004 Ex: 83.410123","Age: 1 ex_fr_female$Type: Predicted Year: 2005 Ex: 83.339219","Age: 1 ex_fr_female$Type: Predicted Year: 2006 Ex: 83.701417","Age: 1 ex_fr_female$Type: Predicted Year: 2007 Ex: 83.887152","Age: 1 ex_fr_female$Type: Predicted Year: 2008 Ex: 83.856323","Age: 1 ex_fr_female$Type: Predicted Year: 2009 Ex: 83.950969","Age: 1 ex_fr_female$Type: Predicted Year: 2010 Ex: 84.176405","Age: 1 ex_fr_female$Type: Predicted Year: 2011 Ex: 84.499336","Age: 1 ex_fr_female$Type: Predicted Year: 2012 Ex: 84.356214","Age: 1 ex_fr_female$Type: Predicted Year: 2013 Ex: 84.569372","Age: 1 ex_fr_female$Type: Predicted Year: 2014 Ex: 84.949098","Age: 1 ex_fr_female$Type: Predicted Year: 2015 Ex: 84.668620","Age: 1 ex_fr_female$Type: Predicted Year: 2016 Ex: 84.847921","Age: 1 ex_fr_female$Type: Predicted Year: 2017 Ex: 84.824396"],"frame":"1","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"2","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[49.5,48.51,47.6,46.87,48.25,48.89,48.49,49.83,49.34,48.09,46.99,48.52,47.25,48.49,48.49,48.54,44.27,47.78,45.26,48.44,50.55,47.75,48.36,49.36,48.41,49.13,48.77,49.16,50.37,51.12,49.22,48.53,48.75,44.63,51,50.12,49.73,50.18,44.89,47.05,49.11,48.77,48.33,46.03,51,49.83,51.2,51.22,51.11,49.65,50.05,51.54,50.32,50.67,47.05,40.97,51.88,51.47,53.05,51.78,52.29,52.91,52.57,52.65,52.11,52.46,52.3,52.47,52.33,52.96,52.61,52.81,53.94,54.94,53.25,53.26,54.08,54,55.12,55.27,56.36,57.1,56.18,55.54,54.96,56.19,56.73,57.06,57.26,57.01,56.97,56.82,58.03,57.92,59.08,58.28,59.26,59.4,58.86,58.14,58.98,58.89,49.99,57.1,59.74,60.55,60.65,61.49,61.34,60.99,60.93,61.74,62.08,61.09,63.01,62.57,63.2,63.41,64.23,63.91,64.55,64.9,64.78,65.18,62.94,64.52,64.6,61.22,56.37,64.03,68.53,69.54,70.56,69.66,70.74,70.37,71.48,71.08,72.09,72.28,72.17,72.62,73.49,73.48,73.54,74.22,73.7,73.63,74.48,74.27,74.7,74.65,74.69,74.45,75.13,75.13,75.35,75.43,75.78,75.85,76.12,76.69,76.75,77.05,77.16,77.22,77.6,77.49,78,78.08,78.32,78.87,79.08,79.23,79.52,79.72,79.96,79.93,80.34,80.3,80.43,80.68,80.79,80.86,81.16,81.3,81.37,81.28,82.19,82.11,82.47,82.66,82.63,82.72,82.95,83.27,83.13,83.34,83.72,83.44,83.62,83.6],"text":["Age: 2 ex_fr_female$Type: Observed Year: 1816 Ex: 49.500000","Age: 2 ex_fr_female$Type: Observed Year: 1817 Ex: 48.510000","Age: 2 ex_fr_female$Type: Observed Year: 1818 Ex: 47.600000","Age: 2 ex_fr_female$Type: Observed Year: 1819 Ex: 46.870000","Age: 2 ex_fr_female$Type: Observed Year: 1820 Ex: 48.250000","Age: 2 ex_fr_female$Type: Observed Year: 1821 Ex: 48.890000","Age: 2 ex_fr_female$Type: Observed Year: 1822 Ex: 48.490000","Age: 2 ex_fr_female$Type: Observed Year: 1823 Ex: 49.830000","Age: 2 ex_fr_female$Type: Observed Year: 1824 Ex: 49.340000","Age: 2 ex_fr_female$Type: Observed Year: 1825 Ex: 48.090000","Age: 2 ex_fr_female$Type: Observed Year: 1826 Ex: 46.990000","Age: 2 ex_fr_female$Type: Observed Year: 1827 Ex: 48.520000","Age: 2 ex_fr_female$Type: Observed Year: 1828 Ex: 47.250000","Age: 2 ex_fr_female$Type: Observed Year: 1829 Ex: 48.490000","Age: 2 ex_fr_female$Type: Observed Year: 1830 Ex: 48.490000","Age: 2 ex_fr_female$Type: Observed Year: 1831 Ex: 48.540000","Age: 2 ex_fr_female$Type: Observed Year: 1832 Ex: 44.270000","Age: 2 ex_fr_female$Type: Observed Year: 1833 Ex: 47.780000","Age: 2 ex_fr_female$Type: Observed Year: 1834 Ex: 45.260000","Age: 2 ex_fr_female$Type: Observed Year: 1835 Ex: 48.440000","Age: 2 ex_fr_female$Type: Observed Year: 1836 Ex: 50.550000","Age: 2 ex_fr_female$Type: Observed Year: 1837 Ex: 47.750000","Age: 2 ex_fr_female$Type: Observed Year: 1838 Ex: 48.360000","Age: 2 ex_fr_female$Type: Observed Year: 1839 Ex: 49.360000","Age: 2 ex_fr_female$Type: Observed Year: 1840 Ex: 48.410000","Age: 2 ex_fr_female$Type: Observed Year: 1841 Ex: 49.130000","Age: 2 ex_fr_female$Type: Observed Year: 1842 Ex: 48.770000","Age: 2 ex_fr_female$Type: Observed Year: 1843 Ex: 49.160000","Age: 2 ex_fr_female$Type: Observed Year: 1844 Ex: 50.370000","Age: 2 ex_fr_female$Type: Observed Year: 1845 Ex: 51.120000","Age: 2 ex_fr_female$Type: Observed Year: 1846 Ex: 49.220000","Age: 2 ex_fr_female$Type: Observed Year: 1847 Ex: 48.530000","Age: 2 ex_fr_female$Type: Observed Year: 1848 Ex: 48.750000","Age: 2 ex_fr_female$Type: Observed Year: 1849 Ex: 44.630000","Age: 2 ex_fr_female$Type: Observed Year: 1850 Ex: 51.000000","Age: 2 ex_fr_female$Type: Observed Year: 1851 Ex: 50.120000","Age: 2 ex_fr_female$Type: Observed Year: 1852 Ex: 49.730000","Age: 2 ex_fr_female$Type: Observed Year: 1853 Ex: 50.180000","Age: 2 ex_fr_female$Type: Observed Year: 1854 Ex: 44.890000","Age: 2 ex_fr_female$Type: Observed Year: 1855 Ex: 47.050000","Age: 2 ex_fr_female$Type: Observed Year: 1856 Ex: 49.110000","Age: 2 ex_fr_female$Type: Observed Year: 1857 Ex: 48.770000","Age: 2 ex_fr_female$Type: Observed Year: 1858 Ex: 48.330000","Age: 2 ex_fr_female$Type: Observed Year: 1859 Ex: 46.030000","Age: 2 ex_fr_female$Type: Observed Year: 1860 Ex: 51.000000","Age: 2 ex_fr_female$Type: Observed Year: 1861 Ex: 49.830000","Age: 2 ex_fr_female$Type: Observed Year: 1862 Ex: 51.200000","Age: 2 ex_fr_female$Type: Observed Year: 1863 Ex: 51.220000","Age: 2 ex_fr_female$Type: Observed Year: 1864 Ex: 51.110000","Age: 2 ex_fr_female$Type: Observed Year: 1865 Ex: 49.650000","Age: 2 ex_fr_female$Type: Observed Year: 1866 Ex: 50.050000","Age: 2 ex_fr_female$Type: Observed Year: 1867 Ex: 51.540000","Age: 2 ex_fr_female$Type: Observed Year: 1868 Ex: 50.320000","Age: 2 ex_fr_female$Type: Observed Year: 1869 Ex: 50.670000","Age: 2 ex_fr_female$Type: Observed Year: 1870 Ex: 47.050000","Age: 2 ex_fr_female$Type: Observed Year: 1871 Ex: 40.970000","Age: 2 ex_fr_female$Type: Observed Year: 1872 Ex: 51.880000","Age: 2 ex_fr_female$Type: Observed Year: 1873 Ex: 51.470000","Age: 2 ex_fr_female$Type: Observed Year: 1874 Ex: 53.050000","Age: 2 ex_fr_female$Type: Observed Year: 1875 Ex: 51.780000","Age: 2 ex_fr_female$Type: Observed Year: 1876 Ex: 52.290000","Age: 2 ex_fr_female$Type: Observed Year: 1877 Ex: 52.910000","Age: 2 ex_fr_female$Type: Observed Year: 1878 Ex: 52.570000","Age: 2 ex_fr_female$Type: Observed Year: 1879 Ex: 52.650000","Age: 2 ex_fr_female$Type: Observed Year: 1880 Ex: 52.110000","Age: 2 ex_fr_female$Type: Observed Year: 1881 Ex: 52.460000","Age: 2 ex_fr_female$Type: Observed Year: 1882 Ex: 52.300000","Age: 2 ex_fr_female$Type: Observed Year: 1883 Ex: 52.470000","Age: 2 ex_fr_female$Type: Observed Year: 1884 Ex: 52.330000","Age: 2 ex_fr_female$Type: Observed Year: 1885 Ex: 52.960000","Age: 2 ex_fr_female$Type: Observed Year: 1886 Ex: 52.610000","Age: 2 ex_fr_female$Type: Observed Year: 1887 Ex: 52.810000","Age: 2 ex_fr_female$Type: Observed Year: 1888 Ex: 53.940000","Age: 2 ex_fr_female$Type: Observed Year: 1889 Ex: 54.940000","Age: 2 ex_fr_female$Type: Observed Year: 1890 Ex: 53.250000","Age: 2 ex_fr_female$Type: Observed Year: 1891 Ex: 53.260000","Age: 2 ex_fr_female$Type: Observed Year: 1892 Ex: 54.080000","Age: 2 ex_fr_female$Type: Observed Year: 1893 Ex: 54.000000","Age: 2 ex_fr_female$Type: Observed Year: 1894 Ex: 55.120000","Age: 2 ex_fr_female$Type: Observed Year: 1895 Ex: 55.270000","Age: 2 ex_fr_female$Type: Observed Year: 1896 Ex: 56.360000","Age: 2 ex_fr_female$Type: Observed Year: 1897 Ex: 57.100000","Age: 2 ex_fr_female$Type: Observed Year: 1898 Ex: 56.180000","Age: 2 ex_fr_female$Type: Observed Year: 1899 Ex: 55.540000","Age: 2 ex_fr_female$Type: Observed Year: 1900 Ex: 54.960000","Age: 2 ex_fr_female$Type: Observed Year: 1901 Ex: 56.190000","Age: 2 ex_fr_female$Type: Observed Year: 1902 Ex: 56.730000","Age: 2 ex_fr_female$Type: Observed Year: 1903 Ex: 57.060000","Age: 2 ex_fr_female$Type: Observed Year: 1904 Ex: 57.260000","Age: 2 ex_fr_female$Type: Observed Year: 1905 Ex: 57.010000","Age: 2 ex_fr_female$Type: Observed Year: 1906 Ex: 56.970000","Age: 2 ex_fr_female$Type: Observed Year: 1907 Ex: 56.820000","Age: 2 ex_fr_female$Type: Observed Year: 1908 Ex: 58.030000","Age: 2 ex_fr_female$Type: Observed Year: 1909 Ex: 57.920000","Age: 2 ex_fr_female$Type: Observed Year: 1910 Ex: 59.080000","Age: 2 ex_fr_female$Type: Observed Year: 1911 Ex: 58.280000","Age: 2 ex_fr_female$Type: Observed Year: 1912 Ex: 59.260000","Age: 2 ex_fr_female$Type: Observed Year: 1913 Ex: 59.400000","Age: 2 ex_fr_female$Type: Observed Year: 1914 Ex: 58.860000","Age: 2 ex_fr_female$Type: Observed Year: 1915 Ex: 58.140000","Age: 2 ex_fr_female$Type: Observed Year: 1916 Ex: 58.980000","Age: 2 ex_fr_female$Type: Observed Year: 1917 Ex: 58.890000","Age: 2 ex_fr_female$Type: Observed Year: 1918 Ex: 49.990000","Age: 2 ex_fr_female$Type: Observed Year: 1919 Ex: 57.100000","Age: 2 ex_fr_female$Type: Observed Year: 1920 Ex: 59.740000","Age: 2 ex_fr_female$Type: Observed Year: 1921 Ex: 60.550000","Age: 2 ex_fr_female$Type: Observed Year: 1922 Ex: 60.650000","Age: 2 ex_fr_female$Type: Observed Year: 1923 Ex: 61.490000","Age: 2 ex_fr_female$Type: Observed Year: 1924 Ex: 61.340000","Age: 2 ex_fr_female$Type: Observed Year: 1925 Ex: 60.990000","Age: 2 ex_fr_female$Type: Observed Year: 1926 Ex: 60.930000","Age: 2 ex_fr_female$Type: Observed Year: 1927 Ex: 61.740000","Age: 2 ex_fr_female$Type: Observed Year: 1928 Ex: 62.080000","Age: 2 ex_fr_female$Type: Observed Year: 1929 Ex: 61.090000","Age: 2 ex_fr_female$Type: Observed Year: 1930 Ex: 63.010000","Age: 2 ex_fr_female$Type: Observed Year: 1931 Ex: 62.570000","Age: 2 ex_fr_female$Type: Observed Year: 1932 Ex: 63.200000","Age: 2 ex_fr_female$Type: Observed Year: 1933 Ex: 63.410000","Age: 2 ex_fr_female$Type: Observed Year: 1934 Ex: 64.230000","Age: 2 ex_fr_female$Type: Observed Year: 1935 Ex: 63.910000","Age: 2 ex_fr_female$Type: Observed Year: 1936 Ex: 64.550000","Age: 2 ex_fr_female$Type: Observed Year: 1937 Ex: 64.900000","Age: 2 ex_fr_female$Type: Observed Year: 1938 Ex: 64.780000","Age: 2 ex_fr_female$Type: Observed Year: 1939 Ex: 65.180000","Age: 2 ex_fr_female$Type: Observed Year: 1940 Ex: 62.940000","Age: 2 ex_fr_female$Type: Observed Year: 1941 Ex: 64.520000","Age: 2 ex_fr_female$Type: Observed Year: 1942 Ex: 64.600000","Age: 2 ex_fr_female$Type: Observed Year: 1943 Ex: 61.220000","Age: 2 ex_fr_female$Type: Observed Year: 1944 Ex: 56.370000","Age: 2 ex_fr_female$Type: Observed Year: 1945 Ex: 64.030000","Age: 2 ex_fr_female$Type: Observed Year: 1946 Ex: 68.530000","Age: 2 ex_fr_female$Type: Observed Year: 1947 Ex: 69.540000","Age: 2 ex_fr_female$Type: Observed Year: 1948 Ex: 70.560000","Age: 2 ex_fr_female$Type: Observed Year: 1949 Ex: 69.660000","Age: 2 ex_fr_female$Type: Observed Year: 1950 Ex: 70.740000","Age: 2 ex_fr_female$Type: Observed Year: 1951 Ex: 70.370000","Age: 2 ex_fr_female$Type: Observed Year: 1952 Ex: 71.480000","Age: 2 ex_fr_female$Type: Observed Year: 1953 Ex: 71.080000","Age: 2 ex_fr_female$Type: Observed Year: 1954 Ex: 72.090000","Age: 2 ex_fr_female$Type: Observed Year: 1955 Ex: 72.280000","Age: 2 ex_fr_female$Type: Observed Year: 1956 Ex: 72.170000","Age: 2 ex_fr_female$Type: Observed Year: 1957 Ex: 72.620000","Age: 2 ex_fr_female$Type: Observed Year: 1958 Ex: 73.490000","Age: 2 ex_fr_female$Type: Observed Year: 1959 Ex: 73.480000","Age: 2 ex_fr_female$Type: Observed Year: 1960 Ex: 73.540000","Age: 2 ex_fr_female$Type: Observed Year: 1961 Ex: 74.220000","Age: 2 ex_fr_female$Type: Observed Year: 1962 Ex: 73.700000","Age: 2 ex_fr_female$Type: Observed Year: 1963 Ex: 73.630000","Age: 2 ex_fr_female$Type: Observed Year: 1964 Ex: 74.480000","Age: 2 ex_fr_female$Type: Observed Year: 1965 Ex: 74.270000","Age: 2 ex_fr_female$Type: Observed Year: 1966 Ex: 74.700000","Age: 2 ex_fr_female$Type: Observed Year: 1967 Ex: 74.650000","Age: 2 ex_fr_female$Type: Observed Year: 1968 Ex: 74.690000","Age: 2 ex_fr_female$Type: Observed Year: 1969 Ex: 74.450000","Age: 2 ex_fr_female$Type: Observed Year: 1970 Ex: 75.130000","Age: 2 ex_fr_female$Type: Observed Year: 1971 Ex: 75.130000","Age: 2 ex_fr_female$Type: Observed Year: 1972 Ex: 75.350000","Age: 2 ex_fr_female$Type: Observed Year: 1973 Ex: 75.430000","Age: 2 ex_fr_female$Type: Observed Year: 1974 Ex: 75.780000","Age: 2 ex_fr_female$Type: Observed Year: 1975 Ex: 75.850000","Age: 2 ex_fr_female$Type: Observed Year: 1976 Ex: 76.120000","Age: 2 ex_fr_female$Type: Observed Year: 1977 Ex: 76.690000","Age: 2 ex_fr_female$Type: Observed Year: 1978 Ex: 76.750000","Age: 2 ex_fr_female$Type: Observed Year: 1979 Ex: 77.050000","Age: 2 ex_fr_female$Type: Observed Year: 1980 Ex: 77.160000","Age: 2 ex_fr_female$Type: Observed Year: 1981 Ex: 77.220000","Age: 2 ex_fr_female$Type: Observed Year: 1982 Ex: 77.600000","Age: 2 ex_fr_female$Type: Observed Year: 1983 Ex: 77.490000","Age: 2 ex_fr_female$Type: Observed Year: 1984 Ex: 78.000000","Age: 2 ex_fr_female$Type: Observed Year: 1985 Ex: 78.080000","Age: 2 ex_fr_female$Type: Observed Year: 1986 Ex: 78.320000","Age: 2 ex_fr_female$Type: Observed Year: 1987 Ex: 78.870000","Age: 2 ex_fr_female$Type: Observed Year: 1988 Ex: 79.080000","Age: 2 ex_fr_female$Type: Observed Year: 1989 Ex: 79.230000","Age: 2 ex_fr_female$Type: Observed Year: 1990 Ex: 79.520000","Age: 2 ex_fr_female$Type: Observed Year: 1991 Ex: 79.720000","Age: 2 ex_fr_female$Type: Observed Year: 1992 Ex: 79.960000","Age: 2 ex_fr_female$Type: Observed Year: 1993 Ex: 79.930000","Age: 2 ex_fr_female$Type: Observed Year: 1994 Ex: 80.340000","Age: 2 ex_fr_female$Type: Observed Year: 1995 Ex: 80.300000","Age: 2 ex_fr_female$Type: Observed Year: 1996 Ex: 80.430000","Age: 2 ex_fr_female$Type: Observed Year: 1997 Ex: 80.680000","Age: 2 ex_fr_female$Type: Observed Year: 1998 Ex: 80.790000","Age: 2 ex_fr_female$Type: Observed Year: 1999 Ex: 80.860000","Age: 2 ex_fr_female$Type: Observed Year: 2000 Ex: 81.160000","Age: 2 ex_fr_female$Type: Observed Year: 2001 Ex: 81.300000","Age: 2 ex_fr_female$Type: Observed Year: 2002 Ex: 81.370000","Age: 2 ex_fr_female$Type: Observed Year: 2003 Ex: 81.280000","Age: 2 ex_fr_female$Type: Observed Year: 2004 Ex: 82.190000","Age: 2 ex_fr_female$Type: Observed Year: 2005 Ex: 82.110000","Age: 2 ex_fr_female$Type: Observed Year: 2006 Ex: 82.470000","Age: 2 ex_fr_female$Type: Observed Year: 2007 Ex: 82.660000","Age: 2 ex_fr_female$Type: Observed Year: 2008 Ex: 82.630000","Age: 2 ex_fr_female$Type: Observed Year: 2009 Ex: 82.720000","Age: 2 ex_fr_female$Type: Observed Year: 2010 Ex: 82.950000","Age: 2 ex_fr_female$Type: Observed Year: 2011 Ex: 83.270000","Age: 2 ex_fr_female$Type: Observed Year: 2012 Ex: 83.130000","Age: 2 ex_fr_female$Type: Observed Year: 2013 Ex: 83.340000","Age: 2 ex_fr_female$Type: Observed Year: 2014 Ex: 83.720000","Age: 2 ex_fr_female$Type: Observed Year: 2015 Ex: 83.440000","Age: 2 ex_fr_female$Type: Observed Year: 2016 Ex: 83.620000","Age: 2 ex_fr_female$Type: Observed Year: 2017 Ex: 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2 ex_fr_female$Type: Predicted Year: 1816 Ex: 49.782159","Age: 2 ex_fr_female$Type: Predicted Year: 1817 Ex: 48.803935","Age: 2 ex_fr_female$Type: Predicted Year: 1818 Ex: 47.899489","Age: 2 ex_fr_female$Type: Predicted Year: 1819 Ex: 47.178291","Age: 2 ex_fr_female$Type: Predicted Year: 1820 Ex: 48.544322","Age: 2 ex_fr_female$Type: Predicted Year: 1821 Ex: 49.192111","Age: 2 ex_fr_female$Type: Predicted Year: 1822 Ex: 48.793464","Age: 2 ex_fr_female$Type: Predicted Year: 1823 Ex: 50.114110","Age: 2 ex_fr_female$Type: Predicted Year: 1824 Ex: 49.644793","Age: 2 ex_fr_female$Type: Predicted Year: 1825 Ex: 48.398935","Age: 2 ex_fr_female$Type: Predicted Year: 1826 Ex: 47.297910","Age: 2 ex_fr_female$Type: Predicted Year: 1827 Ex: 48.812013","Age: 2 ex_fr_female$Type: Predicted Year: 1828 Ex: 47.568883","Age: 2 ex_fr_female$Type: Predicted Year: 1829 Ex: 48.784013","Age: 2 ex_fr_female$Type: Predicted Year: 1830 Ex: 48.781705","Age: 2 ex_fr_female$Type: Predicted Year: 1831 Ex: 48.834042","Age: 2 ex_fr_female$Type: Predicted Year: 1832 Ex: 44.574204","Age: 2 ex_fr_female$Type: Predicted Year: 1833 Ex: 48.078211","Age: 2 ex_fr_female$Type: Predicted Year: 1834 Ex: 45.580096","Age: 2 ex_fr_female$Type: Predicted Year: 1835 Ex: 48.724954","Age: 2 ex_fr_female$Type: Predicted Year: 1836 Ex: 50.827056","Age: 2 ex_fr_female$Type: Predicted Year: 1837 Ex: 48.035540","Age: 2 ex_fr_female$Type: Predicted Year: 1838 Ex: 48.662341","Age: 2 ex_fr_female$Type: Predicted Year: 1839 Ex: 49.648807","Age: 2 ex_fr_female$Type: Predicted Year: 1840 Ex: 48.699951","Age: 2 ex_fr_female$Type: Predicted Year: 1841 Ex: 49.418828","Age: 2 ex_fr_female$Type: Predicted Year: 1842 Ex: 49.055784","Age: 2 ex_fr_female$Type: Predicted Year: 1843 Ex: 49.450078","Age: 2 ex_fr_female$Type: Predicted Year: 1844 Ex: 50.649161","Age: 2 ex_fr_female$Type: Predicted Year: 1845 Ex: 51.393334","Age: 2 ex_fr_female$Type: Predicted Year: 1846 Ex: 49.511500","Age: 2 ex_fr_female$Type: Predicted Year: 1847 Ex: 48.812327","Age: 2 ex_fr_female$Type: Predicted Year: 1848 Ex: 49.032900","Age: 2 ex_fr_female$Type: Predicted Year: 1849 Ex: 44.944158","Age: 2 ex_fr_female$Type: Predicted Year: 1850 Ex: 51.275567","Age: 2 ex_fr_female$Type: Predicted Year: 1851 Ex: 50.401820","Age: 2 ex_fr_female$Type: Predicted Year: 1852 Ex: 50.012812","Age: 2 ex_fr_female$Type: Predicted Year: 1853 Ex: 50.450851","Age: 2 ex_fr_female$Type: Predicted Year: 1854 Ex: 45.193637","Age: 2 ex_fr_female$Type: Predicted Year: 1855 Ex: 47.335578","Age: 2 ex_fr_female$Type: Predicted Year: 1856 Ex: 49.394497","Age: 2 ex_fr_female$Type: Predicted Year: 1857 Ex: 49.049600","Age: 2 ex_fr_female$Type: Predicted Year: 1858 Ex: 48.614244","Age: 2 ex_fr_female$Type: Predicted Year: 1859 Ex: 46.358158","Age: 2 ex_fr_female$Type: Predicted Year: 1860 Ex: 51.277903","Age: 2 ex_fr_female$Type: Predicted Year: 1861 Ex: 50.126491","Age: 2 ex_fr_female$Type: Predicted Year: 1862 Ex: 51.478754","Age: 2 ex_fr_female$Type: Predicted Year: 1863 Ex: 51.499022","Age: 2 ex_fr_female$Type: Predicted Year: 1864 Ex: 51.385012","Age: 2 ex_fr_female$Type: Predicted Year: 1865 Ex: 49.934993","Age: 2 ex_fr_female$Type: Predicted Year: 1866 Ex: 50.324847","Age: 2 ex_fr_female$Type: Predicted Year: 1867 Ex: 51.811104","Age: 2 ex_fr_female$Type: Predicted Year: 1868 Ex: 50.598641","Age: 2 ex_fr_female$Type: Predicted Year: 1869 Ex: 50.943948","Age: 2 ex_fr_female$Type: Predicted Year: 1870 Ex: 47.335095","Age: 2 ex_fr_female$Type: Predicted Year: 1871 Ex: 41.293419","Age: 2 ex_fr_female$Type: Predicted Year: 1872 Ex: 52.151788","Age: 2 ex_fr_female$Type: Predicted Year: 1873 Ex: 51.737613","Age: 2 ex_fr_female$Type: Predicted Year: 1874 Ex: 53.315457","Age: 2 ex_fr_female$Type: Predicted Year: 1875 Ex: 52.045553","Age: 2 ex_fr_female$Type: Predicted Year: 1876 Ex: 52.552657","Age: 2 ex_fr_female$Type: Predicted Year: 1877 Ex: 53.167296","Age: 2 ex_fr_female$Type: Predicted Year: 1878 Ex: 52.830703","Age: 2 ex_fr_female$Type: Predicted Year: 1879 Ex: 52.909969","Age: 2 ex_fr_female$Type: Predicted Year: 1880 Ex: 52.376409","Age: 2 ex_fr_female$Type: Predicted Year: 1881 Ex: 52.726437","Age: 2 ex_fr_female$Type: Predicted Year: 1882 Ex: 52.558817","Age: 2 ex_fr_female$Type: Predicted Year: 1883 Ex: 52.726881","Age: 2 ex_fr_female$Type: Predicted Year: 1884 Ex: 52.594534","Age: 2 ex_fr_female$Type: Predicted Year: 1885 Ex: 53.213693","Age: 2 ex_fr_female$Type: Predicted Year: 1886 Ex: 52.863484","Age: 2 ex_fr_female$Type: Predicted Year: 1887 Ex: 53.066720","Age: 2 ex_fr_female$Type: Predicted Year: 1888 Ex: 54.191433","Age: 2 ex_fr_female$Type: Predicted Year: 1889 Ex: 55.190045","Age: 2 ex_fr_female$Type: Predicted Year: 1890 Ex: 53.509352","Age: 2 ex_fr_female$Type: Predicted Year: 1891 Ex: 53.511534","Age: 2 ex_fr_female$Type: Predicted Year: 1892 Ex: 54.328078","Age: 2 ex_fr_female$Type: Predicted Year: 1893 Ex: 54.249343","Age: 2 ex_fr_female$Type: Predicted Year: 1894 Ex: 55.364475","Age: 2 ex_fr_female$Type: Predicted Year: 1895 Ex: 55.510068","Age: 2 ex_fr_female$Type: Predicted Year: 1896 Ex: 56.600714","Age: 2 ex_fr_female$Type: Predicted Year: 1897 Ex: 57.348980","Age: 2 ex_fr_female$Type: Predicted Year: 1898 Ex: 56.425309","Age: 2 ex_fr_female$Type: Predicted Year: 1899 Ex: 55.782819","Age: 2 ex_fr_female$Type: Predicted Year: 1900 Ex: 55.204621","Age: 2 ex_fr_female$Type: Predicted Year: 1901 Ex: 56.430334","Age: 2 ex_fr_female$Type: Predicted Year: 1902 Ex: 56.968076","Age: 2 ex_fr_female$Type: Predicted Year: 1903 Ex: 57.296963","Age: 2 ex_fr_female$Type: Predicted Year: 1904 Ex: 57.499815","Age: 2 ex_fr_female$Type: Predicted Year: 1905 Ex: 57.253023","Age: 2 ex_fr_female$Type: Predicted Year: 1906 Ex: 57.212006","Age: 2 ex_fr_female$Type: Predicted Year: 1907 Ex: 57.063340","Age: 2 ex_fr_female$Type: Predicted Year: 1908 Ex: 58.267612","Age: 2 ex_fr_female$Type: Predicted Year: 1909 Ex: 58.159044","Age: 2 ex_fr_female$Type: Predicted Year: 1910 Ex: 59.313252","Age: 2 ex_fr_female$Type: Predicted Year: 1911 Ex: 58.516600","Age: 2 ex_fr_female$Type: Predicted Year: 1912 Ex: 59.497272","Age: 2 ex_fr_female$Type: Predicted Year: 1913 Ex: 59.634103","Age: 2 ex_fr_female$Type: Predicted Year: 1914 Ex: 59.092520","Age: 2 ex_fr_female$Type: Predicted Year: 1915 Ex: 58.377861","Age: 2 ex_fr_female$Type: Predicted Year: 1916 Ex: 59.212578","Age: 2 ex_fr_female$Type: Predicted Year: 1917 Ex: 59.124918","Age: 2 ex_fr_female$Type: Predicted Year: 1918 Ex: 50.248090","Age: 2 ex_fr_female$Type: Predicted Year: 1919 Ex: 57.330275","Age: 2 ex_fr_female$Type: Predicted Year: 1920 Ex: 59.974984","Age: 2 ex_fr_female$Type: Predicted Year: 1921 Ex: 60.789134","Age: 2 ex_fr_female$Type: Predicted Year: 1922 Ex: 60.881037","Age: 2 ex_fr_female$Type: Predicted Year: 1923 Ex: 61.726117","Age: 2 ex_fr_female$Type: Predicted Year: 1924 Ex: 61.577541","Age: 2 ex_fr_female$Type: Predicted Year: 1925 Ex: 61.223731","Age: 2 ex_fr_female$Type: Predicted Year: 1926 Ex: 61.168921","Age: 2 ex_fr_female$Type: Predicted Year: 1927 Ex: 61.971872","Age: 2 ex_fr_female$Type: Predicted Year: 1928 Ex: 62.308320","Age: 2 ex_fr_female$Type: Predicted Year: 1929 Ex: 61.326942","Age: 2 ex_fr_female$Type: Predicted Year: 1930 Ex: 63.250706","Age: 2 ex_fr_female$Type: Predicted Year: 1931 Ex: 62.802215","Age: 2 ex_fr_female$Type: Predicted Year: 1932 Ex: 63.436154","Age: 2 ex_fr_female$Type: Predicted Year: 1933 Ex: 63.648495","Age: 2 ex_fr_female$Type: Predicted Year: 1934 Ex: 64.471902","Age: 2 ex_fr_female$Type: Predicted Year: 1935 Ex: 64.144118","Age: 2 ex_fr_female$Type: Predicted Year: 1936 Ex: 64.791378","Age: 2 ex_fr_female$Type: Predicted Year: 1937 Ex: 65.133537","Age: 2 ex_fr_female$Type: Predicted Year: 1938 Ex: 65.018525","Age: 2 ex_fr_female$Type: Predicted Year: 1939 Ex: 65.420218","Age: 2 ex_fr_female$Type: Predicted Year: 1940 Ex: 63.177259","Age: 2 ex_fr_female$Type: Predicted Year: 1941 Ex: 64.751062","Age: 2 ex_fr_female$Type: Predicted Year: 1942 Ex: 64.838971","Age: 2 ex_fr_female$Type: Predicted Year: 1943 Ex: 61.459287","Age: 2 ex_fr_female$Type: Predicted Year: 1944 Ex: 56.611087","Age: 2 ex_fr_female$Type: Predicted Year: 1945 Ex: 64.264775","Age: 2 ex_fr_female$Type: Predicted Year: 1946 Ex: 68.770500","Age: 2 ex_fr_female$Type: Predicted Year: 1947 Ex: 69.787212","Age: 2 ex_fr_female$Type: Predicted Year: 1948 Ex: 70.809035","Age: 2 ex_fr_female$Type: Predicted Year: 1949 Ex: 69.905332","Age: 2 ex_fr_female$Type: Predicted Year: 1950 Ex: 70.987182","Age: 2 ex_fr_female$Type: Predicted Year: 1951 Ex: 70.613593","Age: 2 ex_fr_female$Type: Predicted Year: 1952 Ex: 71.732816","Age: 2 ex_fr_female$Type: Predicted Year: 1953 Ex: 71.329305","Age: 2 ex_fr_female$Type: Predicted Year: 1954 Ex: 72.338052","Age: 2 ex_fr_female$Type: Predicted Year: 1955 Ex: 72.529576","Age: 2 ex_fr_female$Type: Predicted Year: 1956 Ex: 72.419976","Age: 2 ex_fr_female$Type: Predicted Year: 1957 Ex: 72.873717","Age: 2 ex_fr_female$Type: Predicted Year: 1958 Ex: 73.740769","Age: 2 ex_fr_female$Type: Predicted Year: 1959 Ex: 73.731613","Age: 2 ex_fr_female$Type: Predicted Year: 1960 Ex: 73.792122","Age: 2 ex_fr_female$Type: Predicted Year: 1961 Ex: 74.470610","Age: 2 ex_fr_female$Type: Predicted Year: 1962 Ex: 73.952036","Age: 2 ex_fr_female$Type: Predicted Year: 1963 Ex: 73.877719","Age: 2 ex_fr_female$Type: Predicted Year: 1964 Ex: 74.732356","Age: 2 ex_fr_female$Type: Predicted Year: 1965 Ex: 74.518045","Age: 2 ex_fr_female$Type: Predicted Year: 1966 Ex: 74.953621","Age: 2 ex_fr_female$Type: Predicted Year: 1967 Ex: 74.909241","Age: 2 ex_fr_female$Type: Predicted Year: 1968 Ex: 74.937934","Age: 2 ex_fr_female$Type: Predicted Year: 1969 Ex: 74.701653","Age: 2 ex_fr_female$Type: Predicted Year: 1970 Ex: 75.377888","Age: 2 ex_fr_female$Type: Predicted Year: 1971 Ex: 75.373733","Age: 2 ex_fr_female$Type: Predicted Year: 1972 Ex: 75.599266","Age: 2 ex_fr_female$Type: Predicted Year: 1973 Ex: 75.677013","Age: 2 ex_fr_female$Type: Predicted Year: 1974 Ex: 76.035425","Age: 2 ex_fr_female$Type: Predicted Year: 1975 Ex: 76.104666","Age: 2 ex_fr_female$Type: Predicted Year: 1976 Ex: 76.369620","Age: 2 ex_fr_female$Type: Predicted Year: 1977 Ex: 76.945384","Age: 2 ex_fr_female$Type: Predicted Year: 1978 Ex: 77.006228","Age: 2 ex_fr_female$Type: Predicted Year: 1979 Ex: 77.304514","Age: 2 ex_fr_female$Type: Predicted Year: 1980 Ex: 77.412711","Age: 2 ex_fr_female$Type: Predicted Year: 1981 Ex: 77.470504","Age: 2 ex_fr_female$Type: Predicted Year: 1982 Ex: 77.850871","Age: 2 ex_fr_female$Type: Predicted Year: 1983 Ex: 77.741553","Age: 2 ex_fr_female$Type: Predicted Year: 1984 Ex: 78.253943","Age: 2 ex_fr_female$Type: Predicted Year: 1985 Ex: 78.328583","Age: 2 ex_fr_female$Type: Predicted Year: 1986 Ex: 78.575803","Age: 2 ex_fr_female$Type: Predicted Year: 1987 Ex: 79.122325","Age: 2 ex_fr_female$Type: Predicted Year: 1988 Ex: 79.335008","Age: 2 ex_fr_female$Type: Predicted Year: 1989 Ex: 79.483372","Age: 2 ex_fr_female$Type: Predicted Year: 1990 Ex: 79.766440","Age: 2 ex_fr_female$Type: Predicted Year: 1991 Ex: 79.971751","Age: 2 ex_fr_female$Type: Predicted Year: 1992 Ex: 80.211316","Age: 2 ex_fr_female$Type: Predicted Year: 1993 Ex: 80.180639","Age: 2 ex_fr_female$Type: Predicted Year: 1994 Ex: 80.594316","Age: 2 ex_fr_female$Type: Predicted Year: 1995 Ex: 80.553503","Age: 2 ex_fr_female$Type: Predicted Year: 1996 Ex: 80.675180","Age: 2 ex_fr_female$Type: Predicted Year: 1997 Ex: 80.932821","Age: 2 ex_fr_female$Type: Predicted Year: 1998 Ex: 81.037411","Age: 2 ex_fr_female$Type: Predicted Year: 1999 Ex: 81.114439","Age: 2 ex_fr_female$Type: Predicted Year: 2000 Ex: 81.406336","Age: 2 ex_fr_female$Type: Predicted Year: 2001 Ex: 81.551882","Age: 2 ex_fr_female$Type: Predicted Year: 2002 Ex: 81.621396","Age: 2 ex_fr_female$Type: Predicted Year: 2003 Ex: 81.524129","Age: 2 ex_fr_female$Type: Predicted Year: 2004 Ex: 82.434171","Age: 2 ex_fr_female$Type: Predicted Year: 2005 Ex: 82.362417","Age: 2 ex_fr_female$Type: Predicted Year: 2006 Ex: 82.724716","Age: 2 ex_fr_female$Type: Predicted Year: 2007 Ex: 82.910503","Age: 2 ex_fr_female$Type: Predicted Year: 2008 Ex: 82.878833","Age: 2 ex_fr_female$Type: Predicted Year: 2009 Ex: 82.972669","Age: 2 ex_fr_female$Type: Predicted Year: 2010 Ex: 83.203186","Age: 2 ex_fr_female$Type: Predicted Year: 2011 Ex: 83.523699","Age: 2 ex_fr_female$Type: Predicted Year: 2012 Ex: 83.375503","Age: 2 ex_fr_female$Type: Predicted Year: 2013 Ex: 83.588710","Age: 2 ex_fr_female$Type: Predicted Year: 2014 Ex: 83.971903","Age: 2 ex_fr_female$Type: Predicted Year: 2015 Ex: 83.687981","Age: 2 ex_fr_female$Type: Predicted Year: 2016 Ex: 83.870698","Age: 2 ex_fr_female$Type: Predicted Year: 2017 Ex: 83.846324"],"frame":"2","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"3","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[50.19,49.42,48.6,48.03,49.17,49.94,49.56,50.71,50.5,49.28,48.13,49.38,48.48,49.45,49.46,49.61,45.2,48.71,46.61,49.31,51.32,48.63,49.44,50.31,49.25,50.11,49.6,50.12,51.16,51.85,50.2,49.3,49.56,45.76,51.69,51,50.59,50.84,45.94,47.99,50.03,49.65,49.2,47.53,51.8,50.95,51.97,52.01,51.87,50.6,50.84,52.31,51.25,51.47,47.94,42.19,52.49,52.11,53.68,52.39,52.87,53.43,53.11,53.13,52.8,53.1,52.87,53.04,52.96,53.33,52.99,53.35,54.2,55.19,53.7,53.58,54.26,54.21,55.28,55.27,56.39,57.11,56.25,55.67,54.95,56.18,56.69,57,57.16,56.85,56.87,56.58,57.74,57.59,58.78,58.03,58.96,59.06,58.49,57.92,58.71,58.65,50.13,56.91,59.42,60.09,60.1,60.96,60.77,60.48,60.42,61.2,61.51,60.54,62.39,61.95,62.57,62.76,63.58,63.21,63.87,64.18,64.06,64.44,62.26,63.81,63.88,60.52,55.66,63.37,67.77,68.72,69.72,68.81,69.86,69.49,70.61,70.19,71.2,71.37,71.26,71.72,72.57,72.56,72.61,73.29,72.77,72.69,73.55,73.32,73.75,73.71,73.74,73.5,74.17,74.18,74.4,74.47,74.83,74.9,75.16,75.73,75.79,76.08,76.2,76.26,76.63,76.53,77.03,77.11,77.36,77.9,78.11,78.26,78.54,78.75,78.98,78.95,79.36,79.32,79.44,79.7,79.81,79.88,80.17,80.32,80.39,80.29,81.2,81.13,81.49,81.67,81.64,81.74,81.97,82.29,82.14,82.35,82.74,82.45,82.63,82.61],"text":["Age: 3 ex_fr_female$Type: Observed Year: 1816 Ex: 50.190000","Age: 3 ex_fr_female$Type: Observed Year: 1817 Ex: 49.420000","Age: 3 ex_fr_female$Type: Observed Year: 1818 Ex: 48.600000","Age: 3 ex_fr_female$Type: Observed Year: 1819 Ex: 48.030000","Age: 3 ex_fr_female$Type: Observed Year: 1820 Ex: 49.170000","Age: 3 ex_fr_female$Type: Observed Year: 1821 Ex: 49.940000","Age: 3 ex_fr_female$Type: Observed Year: 1822 Ex: 49.560000","Age: 3 ex_fr_female$Type: Observed Year: 1823 Ex: 50.710000","Age: 3 ex_fr_female$Type: Observed Year: 1824 Ex: 50.500000","Age: 3 ex_fr_female$Type: Observed Year: 1825 Ex: 49.280000","Age: 3 ex_fr_female$Type: Observed Year: 1826 Ex: 48.130000","Age: 3 ex_fr_female$Type: Observed Year: 1827 Ex: 49.380000","Age: 3 ex_fr_female$Type: Observed Year: 1828 Ex: 48.480000","Age: 3 ex_fr_female$Type: Observed Year: 1829 Ex: 49.450000","Age: 3 ex_fr_female$Type: Observed Year: 1830 Ex: 49.460000","Age: 3 ex_fr_female$Type: Observed Year: 1831 Ex: 49.610000","Age: 3 ex_fr_female$Type: Observed Year: 1832 Ex: 45.200000","Age: 3 ex_fr_female$Type: Observed Year: 1833 Ex: 48.710000","Age: 3 ex_fr_female$Type: Observed Year: 1834 Ex: 46.610000","Age: 3 ex_fr_female$Type: Observed Year: 1835 Ex: 49.310000","Age: 3 ex_fr_female$Type: Observed Year: 1836 Ex: 51.320000","Age: 3 ex_fr_female$Type: Observed Year: 1837 Ex: 48.630000","Age: 3 ex_fr_female$Type: Observed Year: 1838 Ex: 49.440000","Age: 3 ex_fr_female$Type: Observed Year: 1839 Ex: 50.310000","Age: 3 ex_fr_female$Type: Observed Year: 1840 Ex: 49.250000","Age: 3 ex_fr_female$Type: Observed Year: 1841 Ex: 50.110000","Age: 3 ex_fr_female$Type: Observed Year: 1842 Ex: 49.600000","Age: 3 ex_fr_female$Type: Observed Year: 1843 Ex: 50.120000","Age: 3 ex_fr_female$Type: Observed Year: 1844 Ex: 51.160000","Age: 3 ex_fr_female$Type: Observed Year: 1845 Ex: 51.850000","Age: 3 ex_fr_female$Type: Observed Year: 1846 Ex: 50.200000","Age: 3 ex_fr_female$Type: Observed Year: 1847 Ex: 49.300000","Age: 3 ex_fr_female$Type: Observed Year: 1848 Ex: 49.560000","Age: 3 ex_fr_female$Type: Observed Year: 1849 Ex: 45.760000","Age: 3 ex_fr_female$Type: Observed Year: 1850 Ex: 51.690000","Age: 3 ex_fr_female$Type: Observed Year: 1851 Ex: 51.000000","Age: 3 ex_fr_female$Type: Observed Year: 1852 Ex: 50.590000","Age: 3 ex_fr_female$Type: Observed Year: 1853 Ex: 50.840000","Age: 3 ex_fr_female$Type: Observed Year: 1854 Ex: 45.940000","Age: 3 ex_fr_female$Type: Observed Year: 1855 Ex: 47.990000","Age: 3 ex_fr_female$Type: Observed Year: 1856 Ex: 50.030000","Age: 3 ex_fr_female$Type: Observed Year: 1857 Ex: 49.650000","Age: 3 ex_fr_female$Type: Observed Year: 1858 Ex: 49.200000","Age: 3 ex_fr_female$Type: Observed Year: 1859 Ex: 47.530000","Age: 3 ex_fr_female$Type: Observed Year: 1860 Ex: 51.800000","Age: 3 ex_fr_female$Type: Observed Year: 1861 Ex: 50.950000","Age: 3 ex_fr_female$Type: Observed Year: 1862 Ex: 51.970000","Age: 3 ex_fr_female$Type: Observed Year: 1863 Ex: 52.010000","Age: 3 ex_fr_female$Type: Observed Year: 1864 Ex: 51.870000","Age: 3 ex_fr_female$Type: Observed Year: 1865 Ex: 50.600000","Age: 3 ex_fr_female$Type: Observed Year: 1866 Ex: 50.840000","Age: 3 ex_fr_female$Type: Observed Year: 1867 Ex: 52.310000","Age: 3 ex_fr_female$Type: Observed Year: 1868 Ex: 51.250000","Age: 3 ex_fr_female$Type: Observed Year: 1869 Ex: 51.470000","Age: 3 ex_fr_female$Type: Observed Year: 1870 Ex: 47.940000","Age: 3 ex_fr_female$Type: Observed Year: 1871 Ex: 42.190000","Age: 3 ex_fr_female$Type: Observed Year: 1872 Ex: 52.490000","Age: 3 ex_fr_female$Type: Observed Year: 1873 Ex: 52.110000","Age: 3 ex_fr_female$Type: Observed Year: 1874 Ex: 53.680000","Age: 3 ex_fr_female$Type: Observed Year: 1875 Ex: 52.390000","Age: 3 ex_fr_female$Type: Observed Year: 1876 Ex: 52.870000","Age: 3 ex_fr_female$Type: Observed Year: 1877 Ex: 53.430000","Age: 3 ex_fr_female$Type: Observed Year: 1878 Ex: 53.110000","Age: 3 ex_fr_female$Type: Observed Year: 1879 Ex: 53.130000","Age: 3 ex_fr_female$Type: Observed Year: 1880 Ex: 52.800000","Age: 3 ex_fr_female$Type: Observed Year: 1881 Ex: 53.100000","Age: 3 ex_fr_female$Type: Observed Year: 1882 Ex: 52.870000","Age: 3 ex_fr_female$Type: Observed Year: 1883 Ex: 53.040000","Age: 3 ex_fr_female$Type: Observed Year: 1884 Ex: 52.960000","Age: 3 ex_fr_female$Type: Observed Year: 1885 Ex: 53.330000","Age: 3 ex_fr_female$Type: Observed Year: 1886 Ex: 52.990000","Age: 3 ex_fr_female$Type: Observed Year: 1887 Ex: 53.350000","Age: 3 ex_fr_female$Type: Observed Year: 1888 Ex: 54.200000","Age: 3 ex_fr_female$Type: Observed Year: 1889 Ex: 55.190000","Age: 3 ex_fr_female$Type: Observed Year: 1890 Ex: 53.700000","Age: 3 ex_fr_female$Type: Observed Year: 1891 Ex: 53.580000","Age: 3 ex_fr_female$Type: Observed Year: 1892 Ex: 54.260000","Age: 3 ex_fr_female$Type: Observed Year: 1893 Ex: 54.210000","Age: 3 ex_fr_female$Type: Observed Year: 1894 Ex: 55.280000","Age: 3 ex_fr_female$Type: Observed Year: 1895 Ex: 55.270000","Age: 3 ex_fr_female$Type: Observed Year: 1896 Ex: 56.390000","Age: 3 ex_fr_female$Type: Observed Year: 1897 Ex: 57.110000","Age: 3 ex_fr_female$Type: Observed Year: 1898 Ex: 56.250000","Age: 3 ex_fr_female$Type: Observed Year: 1899 Ex: 55.670000","Age: 3 ex_fr_female$Type: Observed Year: 1900 Ex: 54.950000","Age: 3 ex_fr_female$Type: Observed Year: 1901 Ex: 56.180000","Age: 3 ex_fr_female$Type: Observed Year: 1902 Ex: 56.690000","Age: 3 ex_fr_female$Type: Observed Year: 1903 Ex: 57.000000","Age: 3 ex_fr_female$Type: Observed Year: 1904 Ex: 57.160000","Age: 3 ex_fr_female$Type: Observed Year: 1905 Ex: 56.850000","Age: 3 ex_fr_female$Type: Observed Year: 1906 Ex: 56.870000","Age: 3 ex_fr_female$Type: Observed Year: 1907 Ex: 56.580000","Age: 3 ex_fr_female$Type: Observed Year: 1908 Ex: 57.740000","Age: 3 ex_fr_female$Type: Observed Year: 1909 Ex: 57.590000","Age: 3 ex_fr_female$Type: Observed Year: 1910 Ex: 58.780000","Age: 3 ex_fr_female$Type: Observed Year: 1911 Ex: 58.030000","Age: 3 ex_fr_female$Type: Observed Year: 1912 Ex: 58.960000","Age: 3 ex_fr_female$Type: Observed Year: 1913 Ex: 59.060000","Age: 3 ex_fr_female$Type: Observed Year: 1914 Ex: 58.490000","Age: 3 ex_fr_female$Type: Observed Year: 1915 Ex: 57.920000","Age: 3 ex_fr_female$Type: Observed Year: 1916 Ex: 58.710000","Age: 3 ex_fr_female$Type: Observed Year: 1917 Ex: 58.650000","Age: 3 ex_fr_female$Type: Observed Year: 1918 Ex: 50.130000","Age: 3 ex_fr_female$Type: Observed Year: 1919 Ex: 56.910000","Age: 3 ex_fr_female$Type: Observed Year: 1920 Ex: 59.420000","Age: 3 ex_fr_female$Type: Observed Year: 1921 Ex: 60.090000","Age: 3 ex_fr_female$Type: Observed Year: 1922 Ex: 60.100000","Age: 3 ex_fr_female$Type: Observed Year: 1923 Ex: 60.960000","Age: 3 ex_fr_female$Type: Observed Year: 1924 Ex: 60.770000","Age: 3 ex_fr_female$Type: Observed Year: 1925 Ex: 60.480000","Age: 3 ex_fr_female$Type: Observed Year: 1926 Ex: 60.420000","Age: 3 ex_fr_female$Type: Observed Year: 1927 Ex: 61.200000","Age: 3 ex_fr_female$Type: Observed Year: 1928 Ex: 61.510000","Age: 3 ex_fr_female$Type: Observed Year: 1929 Ex: 60.540000","Age: 3 ex_fr_female$Type: Observed Year: 1930 Ex: 62.390000","Age: 3 ex_fr_female$Type: Observed Year: 1931 Ex: 61.950000","Age: 3 ex_fr_female$Type: Observed Year: 1932 Ex: 62.570000","Age: 3 ex_fr_female$Type: Observed Year: 1933 Ex: 62.760000","Age: 3 ex_fr_female$Type: Observed Year: 1934 Ex: 63.580000","Age: 3 ex_fr_female$Type: Observed Year: 1935 Ex: 63.210000","Age: 3 ex_fr_female$Type: Observed Year: 1936 Ex: 63.870000","Age: 3 ex_fr_female$Type: Observed Year: 1937 Ex: 64.180000","Age: 3 ex_fr_female$Type: Observed Year: 1938 Ex: 64.060000","Age: 3 ex_fr_female$Type: Observed Year: 1939 Ex: 64.440000","Age: 3 ex_fr_female$Type: Observed Year: 1940 Ex: 62.260000","Age: 3 ex_fr_female$Type: Observed Year: 1941 Ex: 63.810000","Age: 3 ex_fr_female$Type: Observed Year: 1942 Ex: 63.880000","Age: 3 ex_fr_female$Type: Observed Year: 1943 Ex: 60.520000","Age: 3 ex_fr_female$Type: Observed Year: 1944 Ex: 55.660000","Age: 3 ex_fr_female$Type: Observed Year: 1945 Ex: 63.370000","Age: 3 ex_fr_female$Type: Observed Year: 1946 Ex: 67.770000","Age: 3 ex_fr_female$Type: Observed Year: 1947 Ex: 68.720000","Age: 3 ex_fr_female$Type: Observed Year: 1948 Ex: 69.720000","Age: 3 ex_fr_female$Type: Observed Year: 1949 Ex: 68.810000","Age: 3 ex_fr_female$Type: Observed Year: 1950 Ex: 69.860000","Age: 3 ex_fr_female$Type: Observed Year: 1951 Ex: 69.490000","Age: 3 ex_fr_female$Type: Observed Year: 1952 Ex: 70.610000","Age: 3 ex_fr_female$Type: Observed Year: 1953 Ex: 70.190000","Age: 3 ex_fr_female$Type: Observed Year: 1954 Ex: 71.200000","Age: 3 ex_fr_female$Type: Observed Year: 1955 Ex: 71.370000","Age: 3 ex_fr_female$Type: Observed Year: 1956 Ex: 71.260000","Age: 3 ex_fr_female$Type: Observed Year: 1957 Ex: 71.720000","Age: 3 ex_fr_female$Type: Observed Year: 1958 Ex: 72.570000","Age: 3 ex_fr_female$Type: Observed Year: 1959 Ex: 72.560000","Age: 3 ex_fr_female$Type: Observed Year: 1960 Ex: 72.610000","Age: 3 ex_fr_female$Type: Observed Year: 1961 Ex: 73.290000","Age: 3 ex_fr_female$Type: Observed Year: 1962 Ex: 72.770000","Age: 3 ex_fr_female$Type: Observed Year: 1963 Ex: 72.690000","Age: 3 ex_fr_female$Type: Observed Year: 1964 Ex: 73.550000","Age: 3 ex_fr_female$Type: Observed Year: 1965 Ex: 73.320000","Age: 3 ex_fr_female$Type: Observed Year: 1966 Ex: 73.750000","Age: 3 ex_fr_female$Type: Observed Year: 1967 Ex: 73.710000","Age: 3 ex_fr_female$Type: Observed Year: 1968 Ex: 73.740000","Age: 3 ex_fr_female$Type: Observed Year: 1969 Ex: 73.500000","Age: 3 ex_fr_female$Type: Observed Year: 1970 Ex: 74.170000","Age: 3 ex_fr_female$Type: Observed Year: 1971 Ex: 74.180000","Age: 3 ex_fr_female$Type: Observed Year: 1972 Ex: 74.400000","Age: 3 ex_fr_female$Type: Observed Year: 1973 Ex: 74.470000","Age: 3 ex_fr_female$Type: Observed Year: 1974 Ex: 74.830000","Age: 3 ex_fr_female$Type: Observed Year: 1975 Ex: 74.900000","Age: 3 ex_fr_female$Type: Observed Year: 1976 Ex: 75.160000","Age: 3 ex_fr_female$Type: Observed Year: 1977 Ex: 75.730000","Age: 3 ex_fr_female$Type: Observed Year: 1978 Ex: 75.790000","Age: 3 ex_fr_female$Type: Observed Year: 1979 Ex: 76.080000","Age: 3 ex_fr_female$Type: Observed Year: 1980 Ex: 76.200000","Age: 3 ex_fr_female$Type: Observed Year: 1981 Ex: 76.260000","Age: 3 ex_fr_female$Type: Observed Year: 1982 Ex: 76.630000","Age: 3 ex_fr_female$Type: Observed Year: 1983 Ex: 76.530000","Age: 3 ex_fr_female$Type: Observed Year: 1984 Ex: 77.030000","Age: 3 ex_fr_female$Type: Observed Year: 1985 Ex: 77.110000","Age: 3 ex_fr_female$Type: Observed Year: 1986 Ex: 77.360000","Age: 3 ex_fr_female$Type: Observed Year: 1987 Ex: 77.900000","Age: 3 ex_fr_female$Type: Observed Year: 1988 Ex: 78.110000","Age: 3 ex_fr_female$Type: Observed Year: 1989 Ex: 78.260000","Age: 3 ex_fr_female$Type: Observed Year: 1990 Ex: 78.540000","Age: 3 ex_fr_female$Type: Observed Year: 1991 Ex: 78.750000","Age: 3 ex_fr_female$Type: Observed Year: 1992 Ex: 78.980000","Age: 3 ex_fr_female$Type: Observed Year: 1993 Ex: 78.950000","Age: 3 ex_fr_female$Type: Observed Year: 1994 Ex: 79.360000","Age: 3 ex_fr_female$Type: Observed Year: 1995 Ex: 79.320000","Age: 3 ex_fr_female$Type: Observed Year: 1996 Ex: 79.440000","Age: 3 ex_fr_female$Type: Observed Year: 1997 Ex: 79.700000","Age: 3 ex_fr_female$Type: Observed Year: 1998 Ex: 79.810000","Age: 3 ex_fr_female$Type: Observed Year: 1999 Ex: 79.880000","Age: 3 ex_fr_female$Type: Observed Year: 2000 Ex: 80.170000","Age: 3 ex_fr_female$Type: Observed Year: 2001 Ex: 80.320000","Age: 3 ex_fr_female$Type: Observed Year: 2002 Ex: 80.390000","Age: 3 ex_fr_female$Type: Observed Year: 2003 Ex: 80.290000","Age: 3 ex_fr_female$Type: Observed Year: 2004 Ex: 81.200000","Age: 3 ex_fr_female$Type: Observed Year: 2005 Ex: 81.130000","Age: 3 ex_fr_female$Type: Observed Year: 2006 Ex: 81.490000","Age: 3 ex_fr_female$Type: Observed Year: 2007 Ex: 81.670000","Age: 3 ex_fr_female$Type: Observed Year: 2008 Ex: 81.640000","Age: 3 ex_fr_female$Type: Observed Year: 2009 Ex: 81.740000","Age: 3 ex_fr_female$Type: Observed Year: 2010 Ex: 81.970000","Age: 3 ex_fr_female$Type: Observed Year: 2011 Ex: 82.290000","Age: 3 ex_fr_female$Type: Observed Year: 2012 Ex: 82.140000","Age: 3 ex_fr_female$Type: Observed Year: 2013 Ex: 82.350000","Age: 3 ex_fr_female$Type: Observed Year: 2014 Ex: 82.740000","Age: 3 ex_fr_female$Type: Observed Year: 2015 Ex: 82.450000","Age: 3 ex_fr_female$Type: Observed Year: 2016 Ex: 82.630000","Age: 3 ex_fr_female$Type: Observed Year: 2017 Ex: 82.610000"],"frame":"3","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[50.4540996607215,49.6830674155204,48.8741554248116,48.3051857504555,49.4323320352979,50.2079445662779,49.8265148149958,50.9715589291984,50.773664069976,49.5554001723886,48.4028478235132,49.6442843102817,48.7608664016771,49.712576694645,49.7307743468839,49.8813999490153,45.4714666842209,48.9805629452345,46.8961639079555,49.5714523395961,51.5740187914281,48.8951558712896,49.7054400406127,50.5715343675602,49.5134616874834,50.3737646925298,49.8595037831789,50.3808077934399,51.4153877584403,52.1041472306538,50.4609629059375,49.5523993130495,49.816136766068,46.0381149513806,51.9420146804383,51.2607197643742,50.8464335361782,51.0943602940212,46.2118704697167,48.2550379948242,50.2854253041398,49.9100416231839,49.458002469652,47.8078880421702,52.0531306050731,51.2104861767138,52.2219628653255,52.2645593994197,52.1208041385396,50.8519612966588,51.0956484184926,52.5598396038961,51.5038740505429,51.7216019438379,48.2018877003769,42.4713018248513,52.7451727137501,52.3599743333321,53.9262271914491,52.6441652628113,53.1224606767458,53.6726715660931,53.3533825228536,53.3729534240645,53.0446979552639,53.3477812296512,53.1121810954813,53.2809554661692,53.2069480962164,53.5725481593781,53.232117416187,53.5973492325894,54.4396035721965,55.4312160149436,53.9416741392072,53.8269675697024,54.5012578957512,54.4499264830412,55.5182093093302,55.5109218727456,56.6271246413535,57.3520401483573,56.4849718296878,55.9052846548374,55.1893355258213,56.4132011400265,56.9247762101003,57.2372891772233,57.4000551304479,57.0859823397035,57.1030923840169,56.8172290361461,57.9731939025625,57.8282905318598,59.0173188050216,58.2622326867268,59.1927959864158,59.3019288200134,58.7210556540717,58.1586553605316,58.9469390558336,58.8813385203289,50.3765961222333,57.1384237986604,59.6556820390014,60.3250647052826,60.3374243723443,61.1938271293542,61.0016647717307,60.7206546624587,60.658056408069,61.4321690405174,61.7418758287974,60.7775074664772,62.6308680952173,62.1859282965293,62.8066763008559,62.9993097389253,63.8150693958979,63.4484263964178,64.1045955154143,64.4217973200514,64.2972001438773,64.6771598801995,62.4945804582467,64.0408438997389,64.1162243581457,60.7611714050238,55.9030611604348,63.6081137995549,68.0098656067312,68.9689830291164,69.9631801785363,69.0561052255128,70.1064062975913,69.7342922255034,70.8554414908177,70.4448507425934,71.447328978876,71.6247179638379,71.5092121203,71.9656904575022,72.8206446357527,72.8085467811641,72.8632501684972,73.5416554129463,73.0174375677265,72.944523549331,73.8006813906189,73.576542514123,74.007247290326,73.9650690040766,73.9937832410303,73.7550976457462,74.4250759142244,74.4261632697084,74.6488480205211,74.7258943538729,75.083783595207,75.1538250410201,75.4106010322674,75.9859107808009,76.0414292310073,76.3375466721709,76.4511765483434,76.5066887947211,76.8872340463762,76.7817292946301,77.2850503713602,77.3581632101729,77.6086012263221,78.1482746835426,78.3602396811921,78.5094407024404,78.7918096664379,79.0011609675689,79.2344354484131,79.2053442115193,79.6135405376348,79.571917590368,79.6928206275306,79.9497135171718,80.0559369824769,80.1305638817558,80.4225189079508,80.5697151875888,80.638432875195,80.542766248937,81.4472813893359,81.3771538950672,81.739518131338,81.9236900005489,81.8944860632231,81.9883406065642,82.2155923360431,82.5361535942544,82.3862771738663,82.6036677911255,82.9860940522184,82.6979638285253,82.8823709082482,82.8554921297891],"text":["Age: 3 ex_fr_female$Type: Predicted Year: 1816 Ex: 50.454100","Age: 3 ex_fr_female$Type: Predicted Year: 1817 Ex: 49.683067","Age: 3 ex_fr_female$Type: Predicted Year: 1818 Ex: 48.874155","Age: 3 ex_fr_female$Type: Predicted Year: 1819 Ex: 48.305186","Age: 3 ex_fr_female$Type: Predicted Year: 1820 Ex: 49.432332","Age: 3 ex_fr_female$Type: Predicted Year: 1821 Ex: 50.207945","Age: 3 ex_fr_female$Type: Predicted Year: 1822 Ex: 49.826515","Age: 3 ex_fr_female$Type: Predicted Year: 1823 Ex: 50.971559","Age: 3 ex_fr_female$Type: Predicted Year: 1824 Ex: 50.773664","Age: 3 ex_fr_female$Type: Predicted Year: 1825 Ex: 49.555400","Age: 3 ex_fr_female$Type: Predicted Year: 1826 Ex: 48.402848","Age: 3 ex_fr_female$Type: Predicted Year: 1827 Ex: 49.644284","Age: 3 ex_fr_female$Type: Predicted Year: 1828 Ex: 48.760866","Age: 3 ex_fr_female$Type: Predicted Year: 1829 Ex: 49.712577","Age: 3 ex_fr_female$Type: Predicted Year: 1830 Ex: 49.730774","Age: 3 ex_fr_female$Type: Predicted Year: 1831 Ex: 49.881400","Age: 3 ex_fr_female$Type: Predicted Year: 1832 Ex: 45.471467","Age: 3 ex_fr_female$Type: Predicted Year: 1833 Ex: 48.980563","Age: 3 ex_fr_female$Type: Predicted Year: 1834 Ex: 46.896164","Age: 3 ex_fr_female$Type: Predicted Year: 1835 Ex: 49.571452","Age: 3 ex_fr_female$Type: Predicted Year: 1836 Ex: 51.574019","Age: 3 ex_fr_female$Type: Predicted Year: 1837 Ex: 48.895156","Age: 3 ex_fr_female$Type: Predicted Year: 1838 Ex: 49.705440","Age: 3 ex_fr_female$Type: Predicted Year: 1839 Ex: 50.571534","Age: 3 ex_fr_female$Type: Predicted Year: 1840 Ex: 49.513462","Age: 3 ex_fr_female$Type: Predicted Year: 1841 Ex: 50.373765","Age: 3 ex_fr_female$Type: Predicted Year: 1842 Ex: 49.859504","Age: 3 ex_fr_female$Type: Predicted Year: 1843 Ex: 50.380808","Age: 3 ex_fr_female$Type: Predicted Year: 1844 Ex: 51.415388","Age: 3 ex_fr_female$Type: Predicted Year: 1845 Ex: 52.104147","Age: 3 ex_fr_female$Type: Predicted Year: 1846 Ex: 50.460963","Age: 3 ex_fr_female$Type: Predicted Year: 1847 Ex: 49.552399","Age: 3 ex_fr_female$Type: Predicted Year: 1848 Ex: 49.816137","Age: 3 ex_fr_female$Type: Predicted Year: 1849 Ex: 46.038115","Age: 3 ex_fr_female$Type: Predicted Year: 1850 Ex: 51.942015","Age: 3 ex_fr_female$Type: Predicted Year: 1851 Ex: 51.260720","Age: 3 ex_fr_female$Type: Predicted Year: 1852 Ex: 50.846434","Age: 3 ex_fr_female$Type: Predicted Year: 1853 Ex: 51.094360","Age: 3 ex_fr_female$Type: Predicted Year: 1854 Ex: 46.211870","Age: 3 ex_fr_female$Type: Predicted Year: 1855 Ex: 48.255038","Age: 3 ex_fr_female$Type: Predicted Year: 1856 Ex: 50.285425","Age: 3 ex_fr_female$Type: Predicted Year: 1857 Ex: 49.910042","Age: 3 ex_fr_female$Type: Predicted Year: 1858 Ex: 49.458002","Age: 3 ex_fr_female$Type: Predicted Year: 1859 Ex: 47.807888","Age: 3 ex_fr_female$Type: Predicted Year: 1860 Ex: 52.053131","Age: 3 ex_fr_female$Type: Predicted Year: 1861 Ex: 51.210486","Age: 3 ex_fr_female$Type: Predicted Year: 1862 Ex: 52.221963","Age: 3 ex_fr_female$Type: Predicted Year: 1863 Ex: 52.264559","Age: 3 ex_fr_female$Type: Predicted Year: 1864 Ex: 52.120804","Age: 3 ex_fr_female$Type: Predicted Year: 1865 Ex: 50.851961","Age: 3 ex_fr_female$Type: Predicted Year: 1866 Ex: 51.095648","Age: 3 ex_fr_female$Type: Predicted Year: 1867 Ex: 52.559840","Age: 3 ex_fr_female$Type: Predicted Year: 1868 Ex: 51.503874","Age: 3 ex_fr_female$Type: Predicted Year: 1869 Ex: 51.721602","Age: 3 ex_fr_female$Type: Predicted Year: 1870 Ex: 48.201888","Age: 3 ex_fr_female$Type: Predicted Year: 1871 Ex: 42.471302","Age: 3 ex_fr_female$Type: Predicted Year: 1872 Ex: 52.745173","Age: 3 ex_fr_female$Type: Predicted Year: 1873 Ex: 52.359974","Age: 3 ex_fr_female$Type: Predicted Year: 1874 Ex: 53.926227","Age: 3 ex_fr_female$Type: Predicted Year: 1875 Ex: 52.644165","Age: 3 ex_fr_female$Type: Predicted Year: 1876 Ex: 53.122461","Age: 3 ex_fr_female$Type: Predicted Year: 1877 Ex: 53.672672","Age: 3 ex_fr_female$Type: Predicted Year: 1878 Ex: 53.353383","Age: 3 ex_fr_female$Type: Predicted Year: 1879 Ex: 53.372953","Age: 3 ex_fr_female$Type: Predicted Year: 1880 Ex: 53.044698","Age: 3 ex_fr_female$Type: Predicted Year: 1881 Ex: 53.347781","Age: 3 ex_fr_female$Type: Predicted Year: 1882 Ex: 53.112181","Age: 3 ex_fr_female$Type: Predicted Year: 1883 Ex: 53.280955","Age: 3 ex_fr_female$Type: Predicted Year: 1884 Ex: 53.206948","Age: 3 ex_fr_female$Type: Predicted Year: 1885 Ex: 53.572548","Age: 3 ex_fr_female$Type: Predicted Year: 1886 Ex: 53.232117","Age: 3 ex_fr_female$Type: Predicted Year: 1887 Ex: 53.597349","Age: 3 ex_fr_female$Type: Predicted Year: 1888 Ex: 54.439604","Age: 3 ex_fr_female$Type: Predicted Year: 1889 Ex: 55.431216","Age: 3 ex_fr_female$Type: Predicted Year: 1890 Ex: 53.941674","Age: 3 ex_fr_female$Type: Predicted Year: 1891 Ex: 53.826968","Age: 3 ex_fr_female$Type: Predicted Year: 1892 Ex: 54.501258","Age: 3 ex_fr_female$Type: Predicted Year: 1893 Ex: 54.449926","Age: 3 ex_fr_female$Type: Predicted Year: 1894 Ex: 55.518209","Age: 3 ex_fr_female$Type: Predicted Year: 1895 Ex: 55.510922","Age: 3 ex_fr_female$Type: Predicted Year: 1896 Ex: 56.627125","Age: 3 ex_fr_female$Type: Predicted Year: 1897 Ex: 57.352040","Age: 3 ex_fr_female$Type: Predicted Year: 1898 Ex: 56.484972","Age: 3 ex_fr_female$Type: Predicted Year: 1899 Ex: 55.905285","Age: 3 ex_fr_female$Type: Predicted Year: 1900 Ex: 55.189336","Age: 3 ex_fr_female$Type: Predicted Year: 1901 Ex: 56.413201","Age: 3 ex_fr_female$Type: Predicted Year: 1902 Ex: 56.924776","Age: 3 ex_fr_female$Type: Predicted Year: 1903 Ex: 57.237289","Age: 3 ex_fr_female$Type: Predicted Year: 1904 Ex: 57.400055","Age: 3 ex_fr_female$Type: Predicted Year: 1905 Ex: 57.085982","Age: 3 ex_fr_female$Type: Predicted Year: 1906 Ex: 57.103092","Age: 3 ex_fr_female$Type: Predicted Year: 1907 Ex: 56.817229","Age: 3 ex_fr_female$Type: Predicted Year: 1908 Ex: 57.973194","Age: 3 ex_fr_female$Type: Predicted Year: 1909 Ex: 57.828291","Age: 3 ex_fr_female$Type: Predicted Year: 1910 Ex: 59.017319","Age: 3 ex_fr_female$Type: Predicted Year: 1911 Ex: 58.262233","Age: 3 ex_fr_female$Type: Predicted Year: 1912 Ex: 59.192796","Age: 3 ex_fr_female$Type: Predicted Year: 1913 Ex: 59.301929","Age: 3 ex_fr_female$Type: Predicted Year: 1914 Ex: 58.721056","Age: 3 ex_fr_female$Type: Predicted Year: 1915 Ex: 58.158655","Age: 3 ex_fr_female$Type: Predicted Year: 1916 Ex: 58.946939","Age: 3 ex_fr_female$Type: Predicted Year: 1917 Ex: 58.881339","Age: 3 ex_fr_female$Type: Predicted Year: 1918 Ex: 50.376596","Age: 3 ex_fr_female$Type: Predicted Year: 1919 Ex: 57.138424","Age: 3 ex_fr_female$Type: Predicted Year: 1920 Ex: 59.655682","Age: 3 ex_fr_female$Type: Predicted Year: 1921 Ex: 60.325065","Age: 3 ex_fr_female$Type: Predicted Year: 1922 Ex: 60.337424","Age: 3 ex_fr_female$Type: Predicted Year: 1923 Ex: 61.193827","Age: 3 ex_fr_female$Type: Predicted Year: 1924 Ex: 61.001665","Age: 3 ex_fr_female$Type: Predicted Year: 1925 Ex: 60.720655","Age: 3 ex_fr_female$Type: Predicted Year: 1926 Ex: 60.658056","Age: 3 ex_fr_female$Type: Predicted Year: 1927 Ex: 61.432169","Age: 3 ex_fr_female$Type: Predicted Year: 1928 Ex: 61.741876","Age: 3 ex_fr_female$Type: Predicted Year: 1929 Ex: 60.777507","Age: 3 ex_fr_female$Type: Predicted Year: 1930 Ex: 62.630868","Age: 3 ex_fr_female$Type: Predicted Year: 1931 Ex: 62.185928","Age: 3 ex_fr_female$Type: Predicted Year: 1932 Ex: 62.806676","Age: 3 ex_fr_female$Type: Predicted Year: 1933 Ex: 62.999310","Age: 3 ex_fr_female$Type: Predicted Year: 1934 Ex: 63.815069","Age: 3 ex_fr_female$Type: Predicted Year: 1935 Ex: 63.448426","Age: 3 ex_fr_female$Type: Predicted Year: 1936 Ex: 64.104596","Age: 3 ex_fr_female$Type: Predicted Year: 1937 Ex: 64.421797","Age: 3 ex_fr_female$Type: Predicted Year: 1938 Ex: 64.297200","Age: 3 ex_fr_female$Type: Predicted Year: 1939 Ex: 64.677160","Age: 3 ex_fr_female$Type: Predicted Year: 1940 Ex: 62.494580","Age: 3 ex_fr_female$Type: Predicted Year: 1941 Ex: 64.040844","Age: 3 ex_fr_female$Type: Predicted Year: 1942 Ex: 64.116224","Age: 3 ex_fr_female$Type: Predicted Year: 1943 Ex: 60.761171","Age: 3 ex_fr_female$Type: Predicted Year: 1944 Ex: 55.903061","Age: 3 ex_fr_female$Type: Predicted Year: 1945 Ex: 63.608114","Age: 3 ex_fr_female$Type: Predicted Year: 1946 Ex: 68.009866","Age: 3 ex_fr_female$Type: Predicted Year: 1947 Ex: 68.968983","Age: 3 ex_fr_female$Type: Predicted Year: 1948 Ex: 69.963180","Age: 3 ex_fr_female$Type: Predicted Year: 1949 Ex: 69.056105","Age: 3 ex_fr_female$Type: Predicted Year: 1950 Ex: 70.106406","Age: 3 ex_fr_female$Type: Predicted Year: 1951 Ex: 69.734292","Age: 3 ex_fr_female$Type: Predicted Year: 1952 Ex: 70.855441","Age: 3 ex_fr_female$Type: Predicted Year: 1953 Ex: 70.444851","Age: 3 ex_fr_female$Type: Predicted Year: 1954 Ex: 71.447329","Age: 3 ex_fr_female$Type: Predicted Year: 1955 Ex: 71.624718","Age: 3 ex_fr_female$Type: Predicted Year: 1956 Ex: 71.509212","Age: 3 ex_fr_female$Type: Predicted Year: 1957 Ex: 71.965690","Age: 3 ex_fr_female$Type: Predicted Year: 1958 Ex: 72.820645","Age: 3 ex_fr_female$Type: Predicted Year: 1959 Ex: 72.808547","Age: 3 ex_fr_female$Type: Predicted Year: 1960 Ex: 72.863250","Age: 3 ex_fr_female$Type: Predicted Year: 1961 Ex: 73.541655","Age: 3 ex_fr_female$Type: Predicted Year: 1962 Ex: 73.017438","Age: 3 ex_fr_female$Type: Predicted Year: 1963 Ex: 72.944524","Age: 3 ex_fr_female$Type: Predicted Year: 1964 Ex: 73.800681","Age: 3 ex_fr_female$Type: Predicted Year: 1965 Ex: 73.576543","Age: 3 ex_fr_female$Type: Predicted Year: 1966 Ex: 74.007247","Age: 3 ex_fr_female$Type: Predicted Year: 1967 Ex: 73.965069","Age: 3 ex_fr_female$Type: Predicted Year: 1968 Ex: 73.993783","Age: 3 ex_fr_female$Type: Predicted Year: 1969 Ex: 73.755098","Age: 3 ex_fr_female$Type: Predicted Year: 1970 Ex: 74.425076","Age: 3 ex_fr_female$Type: Predicted Year: 1971 Ex: 74.426163","Age: 3 ex_fr_female$Type: Predicted Year: 1972 Ex: 74.648848","Age: 3 ex_fr_female$Type: Predicted Year: 1973 Ex: 74.725894","Age: 3 ex_fr_female$Type: Predicted Year: 1974 Ex: 75.083784","Age: 3 ex_fr_female$Type: Predicted Year: 1975 Ex: 75.153825","Age: 3 ex_fr_female$Type: Predicted Year: 1976 Ex: 75.410601","Age: 3 ex_fr_female$Type: Predicted Year: 1977 Ex: 75.985911","Age: 3 ex_fr_female$Type: Predicted Year: 1978 Ex: 76.041429","Age: 3 ex_fr_female$Type: Predicted Year: 1979 Ex: 76.337547","Age: 3 ex_fr_female$Type: Predicted Year: 1980 Ex: 76.451177","Age: 3 ex_fr_female$Type: Predicted Year: 1981 Ex: 76.506689","Age: 3 ex_fr_female$Type: Predicted Year: 1982 Ex: 76.887234","Age: 3 ex_fr_female$Type: Predicted Year: 1983 Ex: 76.781729","Age: 3 ex_fr_female$Type: Predicted Year: 1984 Ex: 77.285050","Age: 3 ex_fr_female$Type: Predicted Year: 1985 Ex: 77.358163","Age: 3 ex_fr_female$Type: Predicted Year: 1986 Ex: 77.608601","Age: 3 ex_fr_female$Type: Predicted Year: 1987 Ex: 78.148275","Age: 3 ex_fr_female$Type: Predicted Year: 1988 Ex: 78.360240","Age: 3 ex_fr_female$Type: Predicted Year: 1989 Ex: 78.509441","Age: 3 ex_fr_female$Type: Predicted Year: 1990 Ex: 78.791810","Age: 3 ex_fr_female$Type: Predicted Year: 1991 Ex: 79.001161","Age: 3 ex_fr_female$Type: Predicted Year: 1992 Ex: 79.234435","Age: 3 ex_fr_female$Type: Predicted Year: 1993 Ex: 79.205344","Age: 3 ex_fr_female$Type: Predicted Year: 1994 Ex: 79.613541","Age: 3 ex_fr_female$Type: Predicted Year: 1995 Ex: 79.571918","Age: 3 ex_fr_female$Type: Predicted Year: 1996 Ex: 79.692821","Age: 3 ex_fr_female$Type: Predicted Year: 1997 Ex: 79.949714","Age: 3 ex_fr_female$Type: Predicted Year: 1998 Ex: 80.055937","Age: 3 ex_fr_female$Type: Predicted Year: 1999 Ex: 80.130564","Age: 3 ex_fr_female$Type: Predicted Year: 2000 Ex: 80.422519","Age: 3 ex_fr_female$Type: Predicted Year: 2001 Ex: 80.569715","Age: 3 ex_fr_female$Type: Predicted Year: 2002 Ex: 80.638433","Age: 3 ex_fr_female$Type: Predicted Year: 2003 Ex: 80.542766","Age: 3 ex_fr_female$Type: Predicted Year: 2004 Ex: 81.447281","Age: 3 ex_fr_female$Type: Predicted Year: 2005 Ex: 81.377154","Age: 3 ex_fr_female$Type: Predicted Year: 2006 Ex: 81.739518","Age: 3 ex_fr_female$Type: Predicted Year: 2007 Ex: 81.923690","Age: 3 ex_fr_female$Type: Predicted Year: 2008 Ex: 81.894486","Age: 3 ex_fr_female$Type: Predicted Year: 2009 Ex: 81.988341","Age: 3 ex_fr_female$Type: Predicted Year: 2010 Ex: 82.215592","Age: 3 ex_fr_female$Type: Predicted Year: 2011 Ex: 82.536154","Age: 3 ex_fr_female$Type: Predicted Year: 2012 Ex: 82.386277","Age: 3 ex_fr_female$Type: Predicted Year: 2013 Ex: 82.603668","Age: 3 ex_fr_female$Type: Predicted Year: 2014 Ex: 82.986094","Age: 3 ex_fr_female$Type: Predicted Year: 2015 Ex: 82.697964","Age: 3 ex_fr_female$Type: Predicted Year: 2016 Ex: 82.882371","Age: 3 ex_fr_female$Type: Predicted Year: 2017 Ex: 82.855492"],"frame":"3","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"4","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[50.35,49.76,49,48.48,49.46,50.34,50,50.98,50.93,49.78,48.6,49.69,49.03,49.75,49.81,50.04,45.55,49.03,47.18,49.57,51.52,48.94,49.86,50.6,49.5,50.46,49.86,50.46,51.35,52.02,50.54,49.51,49.78,46.16,51.8,51.27,50.87,50.98,46.32,48.31,50.32,49.94,49.47,48.22,52.02,51.41,52.22,52.25,51.99,50.9,51.04,52.52,51.55,51.67,48.21,42.68,52.61,52.17,53.68,52.57,52.94,53.49,53.15,53.08,52.92,53.19,52.94,53.08,53.04,53.37,53.01,53.41,54.05,55,53.66,53.49,54,53.97,54.99,54.86,56.01,56.76,55.89,55.39,54.59,55.8,56.31,56.57,56.72,56.39,56.41,56.08,57.21,57.07,58.23,57.49,58.42,58.52,57.86,57.44,58.19,58.11,49.76,56.41,58.87,59.44,59.41,60.27,60.04,59.78,59.74,60.49,60.78,59.82,61.63,61.19,61.8,61.98,62.82,62.42,63.06,63.38,63.24,63.6,61.49,62.99,63.07,59.73,54.93,62.58,66.93,67.83,68.81,67.91,68.94,68.57,69.68,69.26,70.26,70.44,70.32,70.77,71.62,71.61,71.65,72.34,71.81,71.74,72.6,72.36,72.8,72.75,72.78,72.54,73.21,73.22,73.43,73.51,73.87,73.94,74.19,74.77,74.82,75.11,75.23,75.29,75.66,75.56,76.06,76.13,76.38,76.92,77.13,77.28,77.56,77.77,78,77.97,78.38,78.34,78.46,78.72,78.82,78.9,79.18,79.34,79.4,79.3,80.21,80.14,80.5,80.68,80.66,80.75,80.97,81.29,81.15,81.36,81.74,81.46,81.64,81.62],"text":["Age: 4 ex_fr_female$Type: Observed Year: 1816 Ex: 50.350000","Age: 4 ex_fr_female$Type: Observed Year: 1817 Ex: 49.760000","Age: 4 ex_fr_female$Type: Observed Year: 1818 Ex: 49.000000","Age: 4 ex_fr_female$Type: Observed Year: 1819 Ex: 48.480000","Age: 4 ex_fr_female$Type: Observed Year: 1820 Ex: 49.460000","Age: 4 ex_fr_female$Type: Observed Year: 1821 Ex: 50.340000","Age: 4 ex_fr_female$Type: Observed Year: 1822 Ex: 50.000000","Age: 4 ex_fr_female$Type: Observed Year: 1823 Ex: 50.980000","Age: 4 ex_fr_female$Type: Observed Year: 1824 Ex: 50.930000","Age: 4 ex_fr_female$Type: Observed Year: 1825 Ex: 49.780000","Age: 4 ex_fr_female$Type: Observed Year: 1826 Ex: 48.600000","Age: 4 ex_fr_female$Type: Observed Year: 1827 Ex: 49.690000","Age: 4 ex_fr_female$Type: Observed Year: 1828 Ex: 49.030000","Age: 4 ex_fr_female$Type: Observed Year: 1829 Ex: 49.750000","Age: 4 ex_fr_female$Type: Observed Year: 1830 Ex: 49.810000","Age: 4 ex_fr_female$Type: Observed Year: 1831 Ex: 50.040000","Age: 4 ex_fr_female$Type: Observed Year: 1832 Ex: 45.550000","Age: 4 ex_fr_female$Type: Observed Year: 1833 Ex: 49.030000","Age: 4 ex_fr_female$Type: Observed Year: 1834 Ex: 47.180000","Age: 4 ex_fr_female$Type: Observed Year: 1835 Ex: 49.570000","Age: 4 ex_fr_female$Type: Observed Year: 1836 Ex: 51.520000","Age: 4 ex_fr_female$Type: Observed Year: 1837 Ex: 48.940000","Age: 4 ex_fr_female$Type: Observed Year: 1838 Ex: 49.860000","Age: 4 ex_fr_female$Type: Observed Year: 1839 Ex: 50.600000","Age: 4 ex_fr_female$Type: Observed Year: 1840 Ex: 49.500000","Age: 4 ex_fr_female$Type: Observed Year: 1841 Ex: 50.460000","Age: 4 ex_fr_female$Type: Observed Year: 1842 Ex: 49.860000","Age: 4 ex_fr_female$Type: Observed Year: 1843 Ex: 50.460000","Age: 4 ex_fr_female$Type: Observed Year: 1844 Ex: 51.350000","Age: 4 ex_fr_female$Type: Observed Year: 1845 Ex: 52.020000","Age: 4 ex_fr_female$Type: Observed Year: 1846 Ex: 50.540000","Age: 4 ex_fr_female$Type: Observed Year: 1847 Ex: 49.510000","Age: 4 ex_fr_female$Type: Observed Year: 1848 Ex: 49.780000","Age: 4 ex_fr_female$Type: Observed Year: 1849 Ex: 46.160000","Age: 4 ex_fr_female$Type: Observed Year: 1850 Ex: 51.800000","Age: 4 ex_fr_female$Type: Observed Year: 1851 Ex: 51.270000","Age: 4 ex_fr_female$Type: Observed Year: 1852 Ex: 50.870000","Age: 4 ex_fr_female$Type: Observed Year: 1853 Ex: 50.980000","Age: 4 ex_fr_female$Type: Observed Year: 1854 Ex: 46.320000","Age: 4 ex_fr_female$Type: Observed Year: 1855 Ex: 48.310000","Age: 4 ex_fr_female$Type: Observed Year: 1856 Ex: 50.320000","Age: 4 ex_fr_female$Type: Observed Year: 1857 Ex: 49.940000","Age: 4 ex_fr_female$Type: Observed Year: 1858 Ex: 49.470000","Age: 4 ex_fr_female$Type: Observed Year: 1859 Ex: 48.220000","Age: 4 ex_fr_female$Type: Observed Year: 1860 Ex: 52.020000","Age: 4 ex_fr_female$Type: Observed Year: 1861 Ex: 51.410000","Age: 4 ex_fr_female$Type: Observed Year: 1862 Ex: 52.220000","Age: 4 ex_fr_female$Type: Observed Year: 1863 Ex: 52.250000","Age: 4 ex_fr_female$Type: Observed Year: 1864 Ex: 51.990000","Age: 4 ex_fr_female$Type: Observed Year: 1865 Ex: 50.900000","Age: 4 ex_fr_female$Type: Observed Year: 1866 Ex: 51.040000","Age: 4 ex_fr_female$Type: Observed Year: 1867 Ex: 52.520000","Age: 4 ex_fr_female$Type: Observed Year: 1868 Ex: 51.550000","Age: 4 ex_fr_female$Type: Observed Year: 1869 Ex: 51.670000","Age: 4 ex_fr_female$Type: Observed Year: 1870 Ex: 48.210000","Age: 4 ex_fr_female$Type: Observed Year: 1871 Ex: 42.680000","Age: 4 ex_fr_female$Type: Observed Year: 1872 Ex: 52.610000","Age: 4 ex_fr_female$Type: Observed Year: 1873 Ex: 52.170000","Age: 4 ex_fr_female$Type: Observed Year: 1874 Ex: 53.680000","Age: 4 ex_fr_female$Type: Observed Year: 1875 Ex: 52.570000","Age: 4 ex_fr_female$Type: Observed Year: 1876 Ex: 52.940000","Age: 4 ex_fr_female$Type: Observed Year: 1877 Ex: 53.490000","Age: 4 ex_fr_female$Type: Observed Year: 1878 Ex: 53.150000","Age: 4 ex_fr_female$Type: Observed Year: 1879 Ex: 53.080000","Age: 4 ex_fr_female$Type: Observed Year: 1880 Ex: 52.920000","Age: 4 ex_fr_female$Type: Observed Year: 1881 Ex: 53.190000","Age: 4 ex_fr_female$Type: Observed Year: 1882 Ex: 52.940000","Age: 4 ex_fr_female$Type: Observed Year: 1883 Ex: 53.080000","Age: 4 ex_fr_female$Type: Observed Year: 1884 Ex: 53.040000","Age: 4 ex_fr_female$Type: Observed Year: 1885 Ex: 53.370000","Age: 4 ex_fr_female$Type: Observed Year: 1886 Ex: 53.010000","Age: 4 ex_fr_female$Type: Observed Year: 1887 Ex: 53.410000","Age: 4 ex_fr_female$Type: Observed Year: 1888 Ex: 54.050000","Age: 4 ex_fr_female$Type: Observed Year: 1889 Ex: 55.000000","Age: 4 ex_fr_female$Type: Observed Year: 1890 Ex: 53.660000","Age: 4 ex_fr_female$Type: Observed Year: 1891 Ex: 53.490000","Age: 4 ex_fr_female$Type: Observed Year: 1892 Ex: 54.000000","Age: 4 ex_fr_female$Type: Observed Year: 1893 Ex: 53.970000","Age: 4 ex_fr_female$Type: Observed Year: 1894 Ex: 54.990000","Age: 4 ex_fr_female$Type: Observed Year: 1895 Ex: 54.860000","Age: 4 ex_fr_female$Type: Observed Year: 1896 Ex: 56.010000","Age: 4 ex_fr_female$Type: Observed Year: 1897 Ex: 56.760000","Age: 4 ex_fr_female$Type: Observed Year: 1898 Ex: 55.890000","Age: 4 ex_fr_female$Type: Observed Year: 1899 Ex: 55.390000","Age: 4 ex_fr_female$Type: Observed Year: 1900 Ex: 54.590000","Age: 4 ex_fr_female$Type: Observed Year: 1901 Ex: 55.800000","Age: 4 ex_fr_female$Type: Observed Year: 1902 Ex: 56.310000","Age: 4 ex_fr_female$Type: Observed Year: 1903 Ex: 56.570000","Age: 4 ex_fr_female$Type: Observed Year: 1904 Ex: 56.720000","Age: 4 ex_fr_female$Type: Observed Year: 1905 Ex: 56.390000","Age: 4 ex_fr_female$Type: Observed Year: 1906 Ex: 56.410000","Age: 4 ex_fr_female$Type: Observed Year: 1907 Ex: 56.080000","Age: 4 ex_fr_female$Type: Observed Year: 1908 Ex: 57.210000","Age: 4 ex_fr_female$Type: Observed Year: 1909 Ex: 57.070000","Age: 4 ex_fr_female$Type: Observed Year: 1910 Ex: 58.230000","Age: 4 ex_fr_female$Type: Observed Year: 1911 Ex: 57.490000","Age: 4 ex_fr_female$Type: Observed Year: 1912 Ex: 58.420000","Age: 4 ex_fr_female$Type: Observed Year: 1913 Ex: 58.520000","Age: 4 ex_fr_female$Type: Observed Year: 1914 Ex: 57.860000","Age: 4 ex_fr_female$Type: Observed Year: 1915 Ex: 57.440000","Age: 4 ex_fr_female$Type: Observed Year: 1916 Ex: 58.190000","Age: 4 ex_fr_female$Type: Observed Year: 1917 Ex: 58.110000","Age: 4 ex_fr_female$Type: Observed Year: 1918 Ex: 49.760000","Age: 4 ex_fr_female$Type: Observed Year: 1919 Ex: 56.410000","Age: 4 ex_fr_female$Type: Observed Year: 1920 Ex: 58.870000","Age: 4 ex_fr_female$Type: Observed Year: 1921 Ex: 59.440000","Age: 4 ex_fr_female$Type: Observed Year: 1922 Ex: 59.410000","Age: 4 ex_fr_female$Type: Observed Year: 1923 Ex: 60.270000","Age: 4 ex_fr_female$Type: Observed Year: 1924 Ex: 60.040000","Age: 4 ex_fr_female$Type: Observed Year: 1925 Ex: 59.780000","Age: 4 ex_fr_female$Type: Observed Year: 1926 Ex: 59.740000","Age: 4 ex_fr_female$Type: Observed Year: 1927 Ex: 60.490000","Age: 4 ex_fr_female$Type: Observed Year: 1928 Ex: 60.780000","Age: 4 ex_fr_female$Type: Observed Year: 1929 Ex: 59.820000","Age: 4 ex_fr_female$Type: Observed Year: 1930 Ex: 61.630000","Age: 4 ex_fr_female$Type: Observed Year: 1931 Ex: 61.190000","Age: 4 ex_fr_female$Type: Observed Year: 1932 Ex: 61.800000","Age: 4 ex_fr_female$Type: Observed Year: 1933 Ex: 61.980000","Age: 4 ex_fr_female$Type: Observed Year: 1934 Ex: 62.820000","Age: 4 ex_fr_female$Type: Observed Year: 1935 Ex: 62.420000","Age: 4 ex_fr_female$Type: Observed Year: 1936 Ex: 63.060000","Age: 4 ex_fr_female$Type: Observed Year: 1937 Ex: 63.380000","Age: 4 ex_fr_female$Type: Observed Year: 1938 Ex: 63.240000","Age: 4 ex_fr_female$Type: Observed Year: 1939 Ex: 63.600000","Age: 4 ex_fr_female$Type: Observed Year: 1940 Ex: 61.490000","Age: 4 ex_fr_female$Type: Observed Year: 1941 Ex: 62.990000","Age: 4 ex_fr_female$Type: Observed Year: 1942 Ex: 63.070000","Age: 4 ex_fr_female$Type: Observed Year: 1943 Ex: 59.730000","Age: 4 ex_fr_female$Type: Observed Year: 1944 Ex: 54.930000","Age: 4 ex_fr_female$Type: Observed Year: 1945 Ex: 62.580000","Age: 4 ex_fr_female$Type: Observed Year: 1946 Ex: 66.930000","Age: 4 ex_fr_female$Type: Observed Year: 1947 Ex: 67.830000","Age: 4 ex_fr_female$Type: Observed Year: 1948 Ex: 68.810000","Age: 4 ex_fr_female$Type: Observed Year: 1949 Ex: 67.910000","Age: 4 ex_fr_female$Type: Observed Year: 1950 Ex: 68.940000","Age: 4 ex_fr_female$Type: Observed Year: 1951 Ex: 68.570000","Age: 4 ex_fr_female$Type: Observed Year: 1952 Ex: 69.680000","Age: 4 ex_fr_female$Type: Observed Year: 1953 Ex: 69.260000","Age: 4 ex_fr_female$Type: Observed Year: 1954 Ex: 70.260000","Age: 4 ex_fr_female$Type: Observed Year: 1955 Ex: 70.440000","Age: 4 ex_fr_female$Type: Observed Year: 1956 Ex: 70.320000","Age: 4 ex_fr_female$Type: Observed Year: 1957 Ex: 70.770000","Age: 4 ex_fr_female$Type: Observed Year: 1958 Ex: 71.620000","Age: 4 ex_fr_female$Type: Observed Year: 1959 Ex: 71.610000","Age: 4 ex_fr_female$Type: Observed Year: 1960 Ex: 71.650000","Age: 4 ex_fr_female$Type: Observed Year: 1961 Ex: 72.340000","Age: 4 ex_fr_female$Type: Observed Year: 1962 Ex: 71.810000","Age: 4 ex_fr_female$Type: Observed Year: 1963 Ex: 71.740000","Age: 4 ex_fr_female$Type: Observed Year: 1964 Ex: 72.600000","Age: 4 ex_fr_female$Type: Observed Year: 1965 Ex: 72.360000","Age: 4 ex_fr_female$Type: Observed Year: 1966 Ex: 72.800000","Age: 4 ex_fr_female$Type: Observed Year: 1967 Ex: 72.750000","Age: 4 ex_fr_female$Type: Observed Year: 1968 Ex: 72.780000","Age: 4 ex_fr_female$Type: Observed Year: 1969 Ex: 72.540000","Age: 4 ex_fr_female$Type: Observed Year: 1970 Ex: 73.210000","Age: 4 ex_fr_female$Type: Observed Year: 1971 Ex: 73.220000","Age: 4 ex_fr_female$Type: Observed Year: 1972 Ex: 73.430000","Age: 4 ex_fr_female$Type: Observed Year: 1973 Ex: 73.510000","Age: 4 ex_fr_female$Type: Observed Year: 1974 Ex: 73.870000","Age: 4 ex_fr_female$Type: Observed Year: 1975 Ex: 73.940000","Age: 4 ex_fr_female$Type: Observed Year: 1976 Ex: 74.190000","Age: 4 ex_fr_female$Type: Observed Year: 1977 Ex: 74.770000","Age: 4 ex_fr_female$Type: Observed Year: 1978 Ex: 74.820000","Age: 4 ex_fr_female$Type: Observed Year: 1979 Ex: 75.110000","Age: 4 ex_fr_female$Type: Observed Year: 1980 Ex: 75.230000","Age: 4 ex_fr_female$Type: Observed Year: 1981 Ex: 75.290000","Age: 4 ex_fr_female$Type: Observed Year: 1982 Ex: 75.660000","Age: 4 ex_fr_female$Type: Observed Year: 1983 Ex: 75.560000","Age: 4 ex_fr_female$Type: Observed Year: 1984 Ex: 76.060000","Age: 4 ex_fr_female$Type: Observed Year: 1985 Ex: 76.130000","Age: 4 ex_fr_female$Type: Observed Year: 1986 Ex: 76.380000","Age: 4 ex_fr_female$Type: Observed Year: 1987 Ex: 76.920000","Age: 4 ex_fr_female$Type: Observed Year: 1988 Ex: 77.130000","Age: 4 ex_fr_female$Type: Observed Year: 1989 Ex: 77.280000","Age: 4 ex_fr_female$Type: Observed Year: 1990 Ex: 77.560000","Age: 4 ex_fr_female$Type: Observed Year: 1991 Ex: 77.770000","Age: 4 ex_fr_female$Type: Observed Year: 1992 Ex: 78.000000","Age: 4 ex_fr_female$Type: Observed Year: 1993 Ex: 77.970000","Age: 4 ex_fr_female$Type: Observed Year: 1994 Ex: 78.380000","Age: 4 ex_fr_female$Type: Observed Year: 1995 Ex: 78.340000","Age: 4 ex_fr_female$Type: Observed Year: 1996 Ex: 78.460000","Age: 4 ex_fr_female$Type: Observed Year: 1997 Ex: 78.720000","Age: 4 ex_fr_female$Type: Observed Year: 1998 Ex: 78.820000","Age: 4 ex_fr_female$Type: Observed Year: 1999 Ex: 78.900000","Age: 4 ex_fr_female$Type: Observed Year: 2000 Ex: 79.180000","Age: 4 ex_fr_female$Type: Observed Year: 2001 Ex: 79.340000","Age: 4 ex_fr_female$Type: Observed Year: 2002 Ex: 79.400000","Age: 4 ex_fr_female$Type: Observed Year: 2003 Ex: 79.300000","Age: 4 ex_fr_female$Type: Observed Year: 2004 Ex: 80.210000","Age: 4 ex_fr_female$Type: Observed Year: 2005 Ex: 80.140000","Age: 4 ex_fr_female$Type: Observed Year: 2006 Ex: 80.500000","Age: 4 ex_fr_female$Type: Observed Year: 2007 Ex: 80.680000","Age: 4 ex_fr_female$Type: Observed Year: 2008 Ex: 80.660000","Age: 4 ex_fr_female$Type: Observed Year: 2009 Ex: 80.750000","Age: 4 ex_fr_female$Type: Observed Year: 2010 Ex: 80.970000","Age: 4 ex_fr_female$Type: Observed Year: 2011 Ex: 81.290000","Age: 4 ex_fr_female$Type: Observed Year: 2012 Ex: 81.150000","Age: 4 ex_fr_female$Type: Observed Year: 2013 Ex: 81.360000","Age: 4 ex_fr_female$Type: Observed Year: 2014 Ex: 81.740000","Age: 4 ex_fr_female$Type: Observed Year: 2015 Ex: 81.460000","Age: 4 ex_fr_female$Type: Observed Year: 2016 Ex: 81.640000","Age: 4 ex_fr_female$Type: Observed Year: 2017 Ex: 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4 ex_fr_female$Type: Predicted Year: 1816 Ex: 50.598521","Age: 4 ex_fr_female$Type: Predicted Year: 1817 Ex: 50.013518","Age: 4 ex_fr_female$Type: Predicted Year: 1818 Ex: 49.255328","Age: 4 ex_fr_female$Type: Predicted Year: 1819 Ex: 48.740491","Age: 4 ex_fr_female$Type: Predicted Year: 1820 Ex: 49.716809","Age: 4 ex_fr_female$Type: Predicted Year: 1821 Ex: 50.599082","Age: 4 ex_fr_female$Type: Predicted Year: 1822 Ex: 50.261273","Age: 4 ex_fr_female$Type: Predicted Year: 1823 Ex: 51.237935","Age: 4 ex_fr_female$Type: Predicted Year: 1824 Ex: 51.187354","Age: 4 ex_fr_female$Type: Predicted Year: 1825 Ex: 50.043406","Age: 4 ex_fr_female$Type: Predicted Year: 1826 Ex: 48.863299","Age: 4 ex_fr_female$Type: Predicted Year: 1827 Ex: 49.939874","Age: 4 ex_fr_female$Type: Predicted Year: 1828 Ex: 49.286981","Age: 4 ex_fr_female$Type: Predicted Year: 1829 Ex: 50.003905","Age: 4 ex_fr_female$Type: Predicted Year: 1830 Ex: 50.062010","Age: 4 ex_fr_female$Type: Predicted Year: 1831 Ex: 50.293363","Age: 4 ex_fr_female$Type: Predicted Year: 1832 Ex: 45.812890","Age: 4 ex_fr_female$Type: Predicted Year: 1833 Ex: 49.292010","Age: 4 ex_fr_female$Type: Predicted Year: 1834 Ex: 47.448607","Age: 4 ex_fr_female$Type: Predicted Year: 1835 Ex: 49.827356","Age: 4 ex_fr_female$Type: Predicted Year: 1836 Ex: 51.767092","Age: 4 ex_fr_female$Type: Predicted Year: 1837 Ex: 49.190375","Age: 4 ex_fr_female$Type: Predicted Year: 1838 Ex: 50.116422","Age: 4 ex_fr_female$Type: Predicted Year: 1839 Ex: 50.857657","Age: 4 ex_fr_female$Type: Predicted Year: 1840 Ex: 49.748278","Age: 4 ex_fr_female$Type: Predicted Year: 1841 Ex: 50.716752","Age: 4 ex_fr_female$Type: Predicted Year: 1842 Ex: 50.116705","Age: 4 ex_fr_female$Type: Predicted Year: 1843 Ex: 50.710666","Age: 4 ex_fr_female$Type: Predicted Year: 1844 Ex: 51.599544","Age: 4 ex_fr_female$Type: Predicted Year: 1845 Ex: 52.265257","Age: 4 ex_fr_female$Type: Predicted Year: 1846 Ex: 50.790393","Age: 4 ex_fr_female$Type: Predicted Year: 1847 Ex: 49.756017","Age: 4 ex_fr_female$Type: Predicted Year: 1848 Ex: 50.027742","Age: 4 ex_fr_female$Type: Predicted Year: 1849 Ex: 46.423185","Age: 4 ex_fr_female$Type: Predicted Year: 1850 Ex: 52.046897","Age: 4 ex_fr_female$Type: Predicted Year: 1851 Ex: 51.513538","Age: 4 ex_fr_female$Type: Predicted Year: 1852 Ex: 51.120511","Age: 4 ex_fr_female$Type: Predicted Year: 1853 Ex: 51.222920","Age: 4 ex_fr_female$Type: Predicted Year: 1854 Ex: 46.574908","Age: 4 ex_fr_female$Type: Predicted Year: 1855 Ex: 48.563541","Age: 4 ex_fr_female$Type: Predicted Year: 1856 Ex: 50.564199","Age: 4 ex_fr_female$Type: Predicted Year: 1857 Ex: 50.184749","Age: 4 ex_fr_female$Type: Predicted Year: 1858 Ex: 49.719541","Age: 4 ex_fr_female$Type: Predicted Year: 1859 Ex: 48.474047","Age: 4 ex_fr_female$Type: Predicted Year: 1860 Ex: 52.266894","Age: 4 ex_fr_female$Type: Predicted Year: 1861 Ex: 51.656279","Age: 4 ex_fr_female$Type: Predicted Year: 1862 Ex: 52.462473","Age: 4 ex_fr_female$Type: Predicted Year: 1863 Ex: 52.493370","Age: 4 ex_fr_female$Type: Predicted Year: 1864 Ex: 52.233218","Age: 4 ex_fr_female$Type: Predicted Year: 1865 Ex: 51.149419","Age: 4 ex_fr_female$Type: Predicted Year: 1866 Ex: 51.287905","Age: 4 ex_fr_female$Type: Predicted Year: 1867 Ex: 52.769548","Age: 4 ex_fr_female$Type: Predicted Year: 1868 Ex: 51.799296","Age: 4 ex_fr_female$Type: Predicted Year: 1869 Ex: 51.914453","Age: 4 ex_fr_female$Type: Predicted Year: 1870 Ex: 48.455534","Age: 4 ex_fr_female$Type: Predicted Year: 1871 Ex: 42.950813","Age: 4 ex_fr_female$Type: Predicted Year: 1872 Ex: 52.858766","Age: 4 ex_fr_female$Type: Predicted Year: 1873 Ex: 52.408709","Age: 4 ex_fr_female$Type: Predicted Year: 1874 Ex: 53.916765","Age: 4 ex_fr_female$Type: Predicted Year: 1875 Ex: 52.812627","Age: 4 ex_fr_female$Type: Predicted Year: 1876 Ex: 53.183930","Age: 4 ex_fr_female$Type: Predicted Year: 1877 Ex: 53.731678","Age: 4 ex_fr_female$Type: Predicted Year: 1878 Ex: 53.388782","Age: 4 ex_fr_female$Type: Predicted Year: 1879 Ex: 53.316085","Age: 4 ex_fr_female$Type: Predicted Year: 1880 Ex: 53.158236","Age: 4 ex_fr_female$Type: Predicted Year: 1881 Ex: 53.429434","Age: 4 ex_fr_female$Type: Predicted Year: 1882 Ex: 53.182569","Age: 4 ex_fr_female$Type: Predicted Year: 1883 Ex: 53.325162","Age: 4 ex_fr_female$Type: Predicted Year: 1884 Ex: 53.279802","Age: 4 ex_fr_female$Type: Predicted Year: 1885 Ex: 53.612782","Age: 4 ex_fr_female$Type: Predicted Year: 1886 Ex: 53.253850","Age: 4 ex_fr_female$Type: Predicted Year: 1887 Ex: 53.647816","Age: 4 ex_fr_female$Type: Predicted Year: 1888 Ex: 54.294800","Age: 4 ex_fr_female$Type: Predicted Year: 1889 Ex: 55.236322","Age: 4 ex_fr_female$Type: Predicted Year: 1890 Ex: 53.897670","Age: 4 ex_fr_female$Type: Predicted Year: 1891 Ex: 53.734789","Age: 4 ex_fr_female$Type: Predicted Year: 1892 Ex: 54.239061","Age: 4 ex_fr_female$Type: Predicted Year: 1893 Ex: 54.214380","Age: 4 ex_fr_female$Type: Predicted Year: 1894 Ex: 55.232552","Age: 4 ex_fr_female$Type: Predicted Year: 1895 Ex: 55.092697","Age: 4 ex_fr_female$Type: Predicted Year: 1896 Ex: 56.248505","Age: 4 ex_fr_female$Type: Predicted Year: 1897 Ex: 56.999844","Age: 4 ex_fr_female$Type: Predicted Year: 1898 Ex: 56.131390","Age: 4 ex_fr_female$Type: Predicted Year: 1899 Ex: 55.621846","Age: 4 ex_fr_female$Type: Predicted Year: 1900 Ex: 54.827986","Age: 4 ex_fr_female$Type: Predicted Year: 1901 Ex: 56.038998","Age: 4 ex_fr_female$Type: Predicted Year: 1902 Ex: 56.548311","Age: 4 ex_fr_female$Type: Predicted Year: 1903 Ex: 56.809806","Age: 4 ex_fr_female$Type: Predicted Year: 1904 Ex: 56.953526","Age: 4 ex_fr_female$Type: Predicted Year: 1905 Ex: 56.630114","Age: 4 ex_fr_female$Type: Predicted Year: 1906 Ex: 56.647960","Age: 4 ex_fr_female$Type: Predicted Year: 1907 Ex: 56.313306","Age: 4 ex_fr_female$Type: Predicted Year: 1908 Ex: 57.442938","Age: 4 ex_fr_female$Type: Predicted Year: 1909 Ex: 57.300896","Age: 4 ex_fr_female$Type: Predicted Year: 1910 Ex: 58.466695","Age: 4 ex_fr_female$Type: Predicted Year: 1911 Ex: 57.721528","Age: 4 ex_fr_female$Type: Predicted Year: 1912 Ex: 58.661266","Age: 4 ex_fr_female$Type: Predicted Year: 1913 Ex: 58.755268","Age: 4 ex_fr_female$Type: Predicted Year: 1914 Ex: 58.095453","Age: 4 ex_fr_female$Type: Predicted Year: 1915 Ex: 57.676438","Age: 4 ex_fr_female$Type: Predicted Year: 1916 Ex: 58.422284","Age: 4 ex_fr_female$Type: Predicted Year: 1917 Ex: 58.343792","Age: 4 ex_fr_female$Type: Predicted Year: 1918 Ex: 50.003975","Age: 4 ex_fr_female$Type: Predicted Year: 1919 Ex: 56.640759","Age: 4 ex_fr_female$Type: Predicted Year: 1920 Ex: 59.100424","Age: 4 ex_fr_female$Type: Predicted Year: 1921 Ex: 59.676068","Age: 4 ex_fr_female$Type: Predicted Year: 1922 Ex: 59.646984","Age: 4 ex_fr_female$Type: Predicted Year: 1923 Ex: 60.509648","Age: 4 ex_fr_female$Type: Predicted Year: 1924 Ex: 60.273928","Age: 4 ex_fr_female$Type: Predicted Year: 1925 Ex: 60.013435","Age: 4 ex_fr_female$Type: Predicted Year: 1926 Ex: 59.972298","Age: 4 ex_fr_female$Type: Predicted Year: 1927 Ex: 60.721674","Age: 4 ex_fr_female$Type: Predicted Year: 1928 Ex: 61.013780","Age: 4 ex_fr_female$Type: Predicted Year: 1929 Ex: 60.057845","Age: 4 ex_fr_female$Type: Predicted Year: 1930 Ex: 61.869910","Age: 4 ex_fr_female$Type: Predicted Year: 1931 Ex: 61.430070","Age: 4 ex_fr_female$Type: Predicted Year: 1932 Ex: 62.040140","Age: 4 ex_fr_female$Type: Predicted Year: 1933 Ex: 62.217186","Age: 4 ex_fr_female$Type: Predicted Year: 1934 Ex: 63.058031","Age: 4 ex_fr_female$Type: Predicted Year: 1935 Ex: 62.660289","Age: 4 ex_fr_female$Type: Predicted Year: 1936 Ex: 63.298886","Age: 4 ex_fr_female$Type: Predicted Year: 1937 Ex: 63.613851","Age: 4 ex_fr_female$Type: Predicted Year: 1938 Ex: 63.475443","Age: 4 ex_fr_female$Type: Predicted Year: 1939 Ex: 63.841021","Age: 4 ex_fr_female$Type: Predicted Year: 1940 Ex: 61.721897","Age: 4 ex_fr_female$Type: Predicted Year: 1941 Ex: 63.226654","Age: 4 ex_fr_female$Type: Predicted Year: 1942 Ex: 63.310550","Age: 4 ex_fr_female$Type: Predicted Year: 1943 Ex: 59.971246","Age: 4 ex_fr_female$Type: Predicted Year: 1944 Ex: 55.168522","Age: 4 ex_fr_female$Type: Predicted Year: 1945 Ex: 62.819247","Age: 4 ex_fr_female$Type: Predicted Year: 1946 Ex: 67.169377","Age: 4 ex_fr_female$Type: Predicted Year: 1947 Ex: 68.080679","Age: 4 ex_fr_female$Type: Predicted Year: 1948 Ex: 69.059801","Age: 4 ex_fr_female$Type: Predicted Year: 1949 Ex: 68.156957","Age: 4 ex_fr_female$Type: Predicted Year: 1950 Ex: 69.187893","Age: 4 ex_fr_female$Type: Predicted Year: 1951 Ex: 68.814651","Age: 4 ex_fr_female$Type: Predicted Year: 1952 Ex: 69.929354","Age: 4 ex_fr_female$Type: Predicted Year: 1953 Ex: 69.509930","Age: 4 ex_fr_female$Type: Predicted Year: 1954 Ex: 70.506950","Age: 4 ex_fr_female$Type: Predicted Year: 1955 Ex: 70.687335","Age: 4 ex_fr_female$Type: Predicted Year: 1956 Ex: 70.567464","Age: 4 ex_fr_female$Type: Predicted Year: 1957 Ex: 71.022886","Age: 4 ex_fr_female$Type: Predicted Year: 1958 Ex: 71.870563","Age: 4 ex_fr_female$Type: Predicted Year: 1959 Ex: 71.864246","Age: 4 ex_fr_female$Type: Predicted Year: 1960 Ex: 71.906681","Age: 4 ex_fr_female$Type: Predicted Year: 1961 Ex: 72.587686","Age: 4 ex_fr_female$Type: Predicted Year: 1962 Ex: 72.063864","Age: 4 ex_fr_female$Type: Predicted Year: 1963 Ex: 71.988728","Age: 4 ex_fr_female$Type: Predicted Year: 1964 Ex: 72.847609","Age: 4 ex_fr_female$Type: Predicted Year: 1965 Ex: 72.617477","Age: 4 ex_fr_female$Type: Predicted Year: 1966 Ex: 73.049894","Age: 4 ex_fr_female$Type: Predicted Year: 1967 Ex: 73.003281","Age: 4 ex_fr_female$Type: Predicted Year: 1968 Ex: 73.031275","Age: 4 ex_fr_female$Type: Predicted Year: 1969 Ex: 72.793200","Age: 4 ex_fr_female$Type: Predicted Year: 1970 Ex: 73.463527","Age: 4 ex_fr_female$Type: Predicted Year: 1971 Ex: 73.465355","Age: 4 ex_fr_female$Type: Predicted Year: 1972 Ex: 73.683706","Age: 4 ex_fr_female$Type: Predicted Year: 1973 Ex: 73.766730","Age: 4 ex_fr_female$Type: Predicted Year: 1974 Ex: 74.120339","Age: 4 ex_fr_female$Type: Predicted Year: 1975 Ex: 74.186680","Age: 4 ex_fr_female$Type: Predicted Year: 1976 Ex: 74.442820","Age: 4 ex_fr_female$Type: Predicted Year: 1977 Ex: 75.022153","Age: 4 ex_fr_female$Type: Predicted Year: 1978 Ex: 75.073919","Age: 4 ex_fr_female$Type: Predicted Year: 1979 Ex: 75.366370","Age: 4 ex_fr_female$Type: Predicted Year: 1980 Ex: 75.485362","Age: 4 ex_fr_female$Type: Predicted Year: 1981 Ex: 75.539379","Age: 4 ex_fr_female$Type: Predicted Year: 1982 Ex: 75.910154","Age: 4 ex_fr_female$Type: Predicted Year: 1983 Ex: 75.807669","Age: 4 ex_fr_female$Type: Predicted Year: 1984 Ex: 76.307321","Age: 4 ex_fr_female$Type: Predicted Year: 1985 Ex: 76.381993","Age: 4 ex_fr_female$Type: Predicted Year: 1986 Ex: 76.633280","Age: 4 ex_fr_female$Type: Predicted Year: 1987 Ex: 77.171573","Age: 4 ex_fr_female$Type: Predicted Year: 1988 Ex: 77.382044","Age: 4 ex_fr_female$Type: Predicted Year: 1989 Ex: 77.532067","Age: 4 ex_fr_female$Type: Predicted Year: 1990 Ex: 77.809819","Age: 4 ex_fr_female$Type: Predicted Year: 1991 Ex: 78.019218","Age: 4 ex_fr_female$Type: Predicted Year: 1992 Ex: 78.248609","Age: 4 ex_fr_female$Type: Predicted Year: 1993 Ex: 78.220300","Age: 4 ex_fr_female$Type: Predicted Year: 1994 Ex: 78.625408","Age: 4 ex_fr_female$Type: Predicted Year: 1995 Ex: 78.588524","Age: 4 ex_fr_female$Type: Predicted Year: 1996 Ex: 78.705492","Age: 4 ex_fr_female$Type: Predicted Year: 1997 Ex: 78.969578","Age: 4 ex_fr_female$Type: Predicted Year: 1998 Ex: 79.067871","Age: 4 ex_fr_female$Type: Predicted Year: 1999 Ex: 79.145695","Age: 4 ex_fr_female$Type: Predicted Year: 2000 Ex: 79.435308","Age: 4 ex_fr_female$Type: Predicted Year: 2001 Ex: 79.587332","Age: 4 ex_fr_female$Type: Predicted Year: 2002 Ex: 79.650455","Age: 4 ex_fr_female$Type: Predicted Year: 2003 Ex: 79.553973","Age: 4 ex_fr_female$Type: Predicted Year: 2004 Ex: 80.459424","Age: 4 ex_fr_female$Type: Predicted Year: 2005 Ex: 80.389286","Age: 4 ex_fr_female$Type: Predicted Year: 2006 Ex: 80.750892","Age: 4 ex_fr_female$Type: Predicted Year: 2007 Ex: 80.933461","Age: 4 ex_fr_female$Type: Predicted Year: 2008 Ex: 80.907510","Age: 4 ex_fr_female$Type: Predicted Year: 2009 Ex: 80.998120","Age: 4 ex_fr_female$Type: Predicted Year: 2010 Ex: 81.224582","Age: 4 ex_fr_female$Type: Predicted Year: 2011 Ex: 81.544358","Age: 4 ex_fr_female$Type: Predicted Year: 2012 Ex: 81.397742","Age: 4 ex_fr_female$Type: Predicted Year: 2013 Ex: 81.613521","Age: 4 ex_fr_female$Type: Predicted Year: 2014 Ex: 81.993518","Age: 4 ex_fr_female$Type: Predicted Year: 2015 Ex: 81.709472","Age: 4 ex_fr_female$Type: Predicted Year: 2016 Ex: 81.890610","Age: 4 ex_fr_female$Type: Predicted Year: 2017 Ex: 81.864552"],"frame":"4","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"5","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[50.15,49.69,48.99,48.52,49.37,50.32,50.02,50.91,50.92,49.81,48.65,49.61,49.12,49.67,49.73,50.02,45.52,48.99,47.29,49.45,51.34,48.83,49.85,50.51,49.36,50.4,49.75,50.39,51.18,51.81,50.44,49.34,49.63,46.14,51.56,51.12,50.74,50.76,46.26,48.22,50.19,49.8,49.35,48.37,51.85,51.38,52.07,52.1,51.75,50.73,50.84,52.33,51.43,51.48,48.07,42.7,52.36,51.89,53.32,52.28,52.69,53.21,52.87,52.72,52.64,52.9,52.65,52.8,52.77,53.21,52.88,53.1,53.76,54.62,53.35,53.17,53.61,53.62,54.6,54.39,55.52,56.23,55.4,54.92,54.09,55.29,55.77,56,56.12,55.79,55.83,55.44,56.57,56.41,57.55,56.82,57.76,57.86,57.17,56.81,57.55,57.46,49.25,55.75,58.22,58.71,58.64,59.5,59.24,59,58.96,59.74,59.99,59.04,60.82,60.38,60.98,61.15,62,61.57,62.21,62.53,62.38,62.73,60.65,62.15,62.22,58.9,54.11,61.77,66.07,66.92,67.88,66.98,68,67.62,68.74,68.31,69.31,69.48,69.36,69.81,70.66,70.65,70.69,71.37,70.85,70.77,71.63,71.4,71.82,71.78,71.81,71.57,72.24,72.25,72.46,72.55,72.9,72.96,73.22,73.8,73.85,74.13,74.26,74.31,74.68,74.58,75.08,75.15,75.4,75.94,76.15,76.3,76.58,76.78,77.01,76.99,77.39,77.35,77.47,77.73,77.82,77.9,78.2,78.35,78.41,78.32,79.22,79.15,79.51,79.69,79.66,79.76,79.98,80.3,80.16,80.37,80.75,80.47,80.65,80.62],"text":["Age: 5 ex_fr_female$Type: Observed Year: 1816 Ex: 50.150000","Age: 5 ex_fr_female$Type: Observed Year: 1817 Ex: 49.690000","Age: 5 ex_fr_female$Type: Observed Year: 1818 Ex: 48.990000","Age: 5 ex_fr_female$Type: Observed Year: 1819 Ex: 48.520000","Age: 5 ex_fr_female$Type: Observed Year: 1820 Ex: 49.370000","Age: 5 ex_fr_female$Type: Observed Year: 1821 Ex: 50.320000","Age: 5 ex_fr_female$Type: Observed Year: 1822 Ex: 50.020000","Age: 5 ex_fr_female$Type: Observed Year: 1823 Ex: 50.910000","Age: 5 ex_fr_female$Type: Observed Year: 1824 Ex: 50.920000","Age: 5 ex_fr_female$Type: Observed Year: 1825 Ex: 49.810000","Age: 5 ex_fr_female$Type: Observed Year: 1826 Ex: 48.650000","Age: 5 ex_fr_female$Type: Observed Year: 1827 Ex: 49.610000","Age: 5 ex_fr_female$Type: Observed Year: 1828 Ex: 49.120000","Age: 5 ex_fr_female$Type: Observed Year: 1829 Ex: 49.670000","Age: 5 ex_fr_female$Type: Observed Year: 1830 Ex: 49.730000","Age: 5 ex_fr_female$Type: Observed Year: 1831 Ex: 50.020000","Age: 5 ex_fr_female$Type: Observed Year: 1832 Ex: 45.520000","Age: 5 ex_fr_female$Type: Observed Year: 1833 Ex: 48.990000","Age: 5 ex_fr_female$Type: Observed Year: 1834 Ex: 47.290000","Age: 5 ex_fr_female$Type: Observed Year: 1835 Ex: 49.450000","Age: 5 ex_fr_female$Type: Observed Year: 1836 Ex: 51.340000","Age: 5 ex_fr_female$Type: Observed Year: 1837 Ex: 48.830000","Age: 5 ex_fr_female$Type: Observed Year: 1838 Ex: 49.850000","Age: 5 ex_fr_female$Type: Observed Year: 1839 Ex: 50.510000","Age: 5 ex_fr_female$Type: Observed Year: 1840 Ex: 49.360000","Age: 5 ex_fr_female$Type: Observed Year: 1841 Ex: 50.400000","Age: 5 ex_fr_female$Type: Observed Year: 1842 Ex: 49.750000","Age: 5 ex_fr_female$Type: Observed Year: 1843 Ex: 50.390000","Age: 5 ex_fr_female$Type: Observed Year: 1844 Ex: 51.180000","Age: 5 ex_fr_female$Type: Observed Year: 1845 Ex: 51.810000","Age: 5 ex_fr_female$Type: Observed Year: 1846 Ex: 50.440000","Age: 5 ex_fr_female$Type: Observed Year: 1847 Ex: 49.340000","Age: 5 ex_fr_female$Type: Observed Year: 1848 Ex: 49.630000","Age: 5 ex_fr_female$Type: Observed Year: 1849 Ex: 46.140000","Age: 5 ex_fr_female$Type: Observed Year: 1850 Ex: 51.560000","Age: 5 ex_fr_female$Type: Observed Year: 1851 Ex: 51.120000","Age: 5 ex_fr_female$Type: Observed Year: 1852 Ex: 50.740000","Age: 5 ex_fr_female$Type: Observed Year: 1853 Ex: 50.760000","Age: 5 ex_fr_female$Type: Observed Year: 1854 Ex: 46.260000","Age: 5 ex_fr_female$Type: Observed Year: 1855 Ex: 48.220000","Age: 5 ex_fr_female$Type: Observed Year: 1856 Ex: 50.190000","Age: 5 ex_fr_female$Type: Observed Year: 1857 Ex: 49.800000","Age: 5 ex_fr_female$Type: Observed Year: 1858 Ex: 49.350000","Age: 5 ex_fr_female$Type: Observed Year: 1859 Ex: 48.370000","Age: 5 ex_fr_female$Type: Observed Year: 1860 Ex: 51.850000","Age: 5 ex_fr_female$Type: Observed Year: 1861 Ex: 51.380000","Age: 5 ex_fr_female$Type: Observed Year: 1862 Ex: 52.070000","Age: 5 ex_fr_female$Type: Observed Year: 1863 Ex: 52.100000","Age: 5 ex_fr_female$Type: Observed Year: 1864 Ex: 51.750000","Age: 5 ex_fr_female$Type: Observed Year: 1865 Ex: 50.730000","Age: 5 ex_fr_female$Type: Observed Year: 1866 Ex: 50.840000","Age: 5 ex_fr_female$Type: Observed Year: 1867 Ex: 52.330000","Age: 5 ex_fr_female$Type: Observed Year: 1868 Ex: 51.430000","Age: 5 ex_fr_female$Type: Observed Year: 1869 Ex: 51.480000","Age: 5 ex_fr_female$Type: Observed Year: 1870 Ex: 48.070000","Age: 5 ex_fr_female$Type: Observed Year: 1871 Ex: 42.700000","Age: 5 ex_fr_female$Type: Observed Year: 1872 Ex: 52.360000","Age: 5 ex_fr_female$Type: Observed Year: 1873 Ex: 51.890000","Age: 5 ex_fr_female$Type: Observed Year: 1874 Ex: 53.320000","Age: 5 ex_fr_female$Type: Observed Year: 1875 Ex: 52.280000","Age: 5 ex_fr_female$Type: Observed Year: 1876 Ex: 52.690000","Age: 5 ex_fr_female$Type: Observed Year: 1877 Ex: 53.210000","Age: 5 ex_fr_female$Type: Observed Year: 1878 Ex: 52.870000","Age: 5 ex_fr_female$Type: Observed Year: 1879 Ex: 52.720000","Age: 5 ex_fr_female$Type: Observed Year: 1880 Ex: 52.640000","Age: 5 ex_fr_female$Type: Observed Year: 1881 Ex: 52.900000","Age: 5 ex_fr_female$Type: Observed Year: 1882 Ex: 52.650000","Age: 5 ex_fr_female$Type: Observed Year: 1883 Ex: 52.800000","Age: 5 ex_fr_female$Type: Observed Year: 1884 Ex: 52.770000","Age: 5 ex_fr_female$Type: Observed Year: 1885 Ex: 53.210000","Age: 5 ex_fr_female$Type: Observed Year: 1886 Ex: 52.880000","Age: 5 ex_fr_female$Type: Observed Year: 1887 Ex: 53.100000","Age: 5 ex_fr_female$Type: Observed Year: 1888 Ex: 53.760000","Age: 5 ex_fr_female$Type: Observed Year: 1889 Ex: 54.620000","Age: 5 ex_fr_female$Type: Observed Year: 1890 Ex: 53.350000","Age: 5 ex_fr_female$Type: Observed Year: 1891 Ex: 53.170000","Age: 5 ex_fr_female$Type: Observed Year: 1892 Ex: 53.610000","Age: 5 ex_fr_female$Type: Observed Year: 1893 Ex: 53.620000","Age: 5 ex_fr_female$Type: Observed Year: 1894 Ex: 54.600000","Age: 5 ex_fr_female$Type: Observed Year: 1895 Ex: 54.390000","Age: 5 ex_fr_female$Type: Observed Year: 1896 Ex: 55.520000","Age: 5 ex_fr_female$Type: Observed Year: 1897 Ex: 56.230000","Age: 5 ex_fr_female$Type: Observed Year: 1898 Ex: 55.400000","Age: 5 ex_fr_female$Type: Observed Year: 1899 Ex: 54.920000","Age: 5 ex_fr_female$Type: Observed Year: 1900 Ex: 54.090000","Age: 5 ex_fr_female$Type: Observed Year: 1901 Ex: 55.290000","Age: 5 ex_fr_female$Type: Observed Year: 1902 Ex: 55.770000","Age: 5 ex_fr_female$Type: Observed Year: 1903 Ex: 56.000000","Age: 5 ex_fr_female$Type: Observed Year: 1904 Ex: 56.120000","Age: 5 ex_fr_female$Type: Observed Year: 1905 Ex: 55.790000","Age: 5 ex_fr_female$Type: Observed Year: 1906 Ex: 55.830000","Age: 5 ex_fr_female$Type: Observed Year: 1907 Ex: 55.440000","Age: 5 ex_fr_female$Type: Observed Year: 1908 Ex: 56.570000","Age: 5 ex_fr_female$Type: Observed Year: 1909 Ex: 56.410000","Age: 5 ex_fr_female$Type: Observed Year: 1910 Ex: 57.550000","Age: 5 ex_fr_female$Type: Observed Year: 1911 Ex: 56.820000","Age: 5 ex_fr_female$Type: Observed Year: 1912 Ex: 57.760000","Age: 5 ex_fr_female$Type: Observed Year: 1913 Ex: 57.860000","Age: 5 ex_fr_female$Type: Observed Year: 1914 Ex: 57.170000","Age: 5 ex_fr_female$Type: Observed Year: 1915 Ex: 56.810000","Age: 5 ex_fr_female$Type: Observed Year: 1916 Ex: 57.550000","Age: 5 ex_fr_female$Type: Observed Year: 1917 Ex: 57.460000","Age: 5 ex_fr_female$Type: Observed Year: 1918 Ex: 49.250000","Age: 5 ex_fr_female$Type: Observed Year: 1919 Ex: 55.750000","Age: 5 ex_fr_female$Type: Observed Year: 1920 Ex: 58.220000","Age: 5 ex_fr_female$Type: Observed Year: 1921 Ex: 58.710000","Age: 5 ex_fr_female$Type: Observed Year: 1922 Ex: 58.640000","Age: 5 ex_fr_female$Type: Observed Year: 1923 Ex: 59.500000","Age: 5 ex_fr_female$Type: Observed Year: 1924 Ex: 59.240000","Age: 5 ex_fr_female$Type: Observed Year: 1925 Ex: 59.000000","Age: 5 ex_fr_female$Type: Observed Year: 1926 Ex: 58.960000","Age: 5 ex_fr_female$Type: Observed Year: 1927 Ex: 59.740000","Age: 5 ex_fr_female$Type: Observed Year: 1928 Ex: 59.990000","Age: 5 ex_fr_female$Type: Observed Year: 1929 Ex: 59.040000","Age: 5 ex_fr_female$Type: Observed Year: 1930 Ex: 60.820000","Age: 5 ex_fr_female$Type: Observed Year: 1931 Ex: 60.380000","Age: 5 ex_fr_female$Type: Observed Year: 1932 Ex: 60.980000","Age: 5 ex_fr_female$Type: Observed Year: 1933 Ex: 61.150000","Age: 5 ex_fr_female$Type: Observed Year: 1934 Ex: 62.000000","Age: 5 ex_fr_female$Type: Observed Year: 1935 Ex: 61.570000","Age: 5 ex_fr_female$Type: Observed Year: 1936 Ex: 62.210000","Age: 5 ex_fr_female$Type: Observed Year: 1937 Ex: 62.530000","Age: 5 ex_fr_female$Type: Observed Year: 1938 Ex: 62.380000","Age: 5 ex_fr_female$Type: Observed Year: 1939 Ex: 62.730000","Age: 5 ex_fr_female$Type: Observed Year: 1940 Ex: 60.650000","Age: 5 ex_fr_female$Type: Observed Year: 1941 Ex: 62.150000","Age: 5 ex_fr_female$Type: Observed Year: 1942 Ex: 62.220000","Age: 5 ex_fr_female$Type: Observed Year: 1943 Ex: 58.900000","Age: 5 ex_fr_female$Type: Observed Year: 1944 Ex: 54.110000","Age: 5 ex_fr_female$Type: Observed Year: 1945 Ex: 61.770000","Age: 5 ex_fr_female$Type: Observed Year: 1946 Ex: 66.070000","Age: 5 ex_fr_female$Type: Observed Year: 1947 Ex: 66.920000","Age: 5 ex_fr_female$Type: Observed Year: 1948 Ex: 67.880000","Age: 5 ex_fr_female$Type: Observed Year: 1949 Ex: 66.980000","Age: 5 ex_fr_female$Type: Observed Year: 1950 Ex: 68.000000","Age: 5 ex_fr_female$Type: Observed Year: 1951 Ex: 67.620000","Age: 5 ex_fr_female$Type: Observed Year: 1952 Ex: 68.740000","Age: 5 ex_fr_female$Type: Observed Year: 1953 Ex: 68.310000","Age: 5 ex_fr_female$Type: Observed Year: 1954 Ex: 69.310000","Age: 5 ex_fr_female$Type: Observed Year: 1955 Ex: 69.480000","Age: 5 ex_fr_female$Type: Observed Year: 1956 Ex: 69.360000","Age: 5 ex_fr_female$Type: Observed Year: 1957 Ex: 69.810000","Age: 5 ex_fr_female$Type: Observed Year: 1958 Ex: 70.660000","Age: 5 ex_fr_female$Type: Observed Year: 1959 Ex: 70.650000","Age: 5 ex_fr_female$Type: Observed Year: 1960 Ex: 70.690000","Age: 5 ex_fr_female$Type: Observed Year: 1961 Ex: 71.370000","Age: 5 ex_fr_female$Type: Observed Year: 1962 Ex: 70.850000","Age: 5 ex_fr_female$Type: Observed Year: 1963 Ex: 70.770000","Age: 5 ex_fr_female$Type: Observed Year: 1964 Ex: 71.630000","Age: 5 ex_fr_female$Type: Observed Year: 1965 Ex: 71.400000","Age: 5 ex_fr_female$Type: Observed Year: 1966 Ex: 71.820000","Age: 5 ex_fr_female$Type: Observed Year: 1967 Ex: 71.780000","Age: 5 ex_fr_female$Type: Observed Year: 1968 Ex: 71.810000","Age: 5 ex_fr_female$Type: Observed Year: 1969 Ex: 71.570000","Age: 5 ex_fr_female$Type: Observed Year: 1970 Ex: 72.240000","Age: 5 ex_fr_female$Type: Observed Year: 1971 Ex: 72.250000","Age: 5 ex_fr_female$Type: Observed Year: 1972 Ex: 72.460000","Age: 5 ex_fr_female$Type: Observed Year: 1973 Ex: 72.550000","Age: 5 ex_fr_female$Type: Observed Year: 1974 Ex: 72.900000","Age: 5 ex_fr_female$Type: Observed Year: 1975 Ex: 72.960000","Age: 5 ex_fr_female$Type: Observed Year: 1976 Ex: 73.220000","Age: 5 ex_fr_female$Type: Observed Year: 1977 Ex: 73.800000","Age: 5 ex_fr_female$Type: Observed Year: 1978 Ex: 73.850000","Age: 5 ex_fr_female$Type: Observed Year: 1979 Ex: 74.130000","Age: 5 ex_fr_female$Type: Observed Year: 1980 Ex: 74.260000","Age: 5 ex_fr_female$Type: Observed Year: 1981 Ex: 74.310000","Age: 5 ex_fr_female$Type: Observed Year: 1982 Ex: 74.680000","Age: 5 ex_fr_female$Type: Observed Year: 1983 Ex: 74.580000","Age: 5 ex_fr_female$Type: Observed Year: 1984 Ex: 75.080000","Age: 5 ex_fr_female$Type: Observed Year: 1985 Ex: 75.150000","Age: 5 ex_fr_female$Type: Observed Year: 1986 Ex: 75.400000","Age: 5 ex_fr_female$Type: Observed Year: 1987 Ex: 75.940000","Age: 5 ex_fr_female$Type: Observed Year: 1988 Ex: 76.150000","Age: 5 ex_fr_female$Type: Observed Year: 1989 Ex: 76.300000","Age: 5 ex_fr_female$Type: Observed Year: 1990 Ex: 76.580000","Age: 5 ex_fr_female$Type: Observed Year: 1991 Ex: 76.780000","Age: 5 ex_fr_female$Type: Observed Year: 1992 Ex: 77.010000","Age: 5 ex_fr_female$Type: Observed Year: 1993 Ex: 76.990000","Age: 5 ex_fr_female$Type: Observed Year: 1994 Ex: 77.390000","Age: 5 ex_fr_female$Type: Observed Year: 1995 Ex: 77.350000","Age: 5 ex_fr_female$Type: Observed Year: 1996 Ex: 77.470000","Age: 5 ex_fr_female$Type: Observed Year: 1997 Ex: 77.730000","Age: 5 ex_fr_female$Type: Observed Year: 1998 Ex: 77.820000","Age: 5 ex_fr_female$Type: Observed Year: 1999 Ex: 77.900000","Age: 5 ex_fr_female$Type: Observed Year: 2000 Ex: 78.200000","Age: 5 ex_fr_female$Type: Observed Year: 2001 Ex: 78.350000","Age: 5 ex_fr_female$Type: Observed Year: 2002 Ex: 78.410000","Age: 5 ex_fr_female$Type: Observed Year: 2003 Ex: 78.320000","Age: 5 ex_fr_female$Type: Observed Year: 2004 Ex: 79.220000","Age: 5 ex_fr_female$Type: Observed Year: 2005 Ex: 79.150000","Age: 5 ex_fr_female$Type: Observed Year: 2006 Ex: 79.510000","Age: 5 ex_fr_female$Type: Observed Year: 2007 Ex: 79.690000","Age: 5 ex_fr_female$Type: Observed Year: 2008 Ex: 79.660000","Age: 5 ex_fr_female$Type: Observed Year: 2009 Ex: 79.760000","Age: 5 ex_fr_female$Type: Observed Year: 2010 Ex: 79.980000","Age: 5 ex_fr_female$Type: Observed Year: 2011 Ex: 80.300000","Age: 5 ex_fr_female$Type: Observed Year: 2012 Ex: 80.160000","Age: 5 ex_fr_female$Type: Observed Year: 2013 Ex: 80.370000","Age: 5 ex_fr_female$Type: Observed Year: 2014 Ex: 80.750000","Age: 5 ex_fr_female$Type: Observed Year: 2015 Ex: 80.470000","Age: 5 ex_fr_female$Type: Observed Year: 2016 Ex: 80.650000","Age: 5 ex_fr_female$Type: Observed Year: 2017 Ex: 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5 ex_fr_female$Type: Predicted Year: 1816 Ex: 50.399943","Age: 5 ex_fr_female$Type: Predicted Year: 1817 Ex: 49.946142","Age: 5 ex_fr_female$Type: Predicted Year: 1818 Ex: 49.244761","Age: 5 ex_fr_female$Type: Predicted Year: 1819 Ex: 48.777103","Age: 5 ex_fr_female$Type: Predicted Year: 1820 Ex: 49.620781","Age: 5 ex_fr_female$Type: Predicted Year: 1821 Ex: 50.573883","Age: 5 ex_fr_female$Type: Predicted Year: 1822 Ex: 50.267059","Age: 5 ex_fr_female$Type: Predicted Year: 1823 Ex: 51.155379","Age: 5 ex_fr_female$Type: Predicted Year: 1824 Ex: 51.170501","Age: 5 ex_fr_female$Type: Predicted Year: 1825 Ex: 50.061979","Age: 5 ex_fr_female$Type: Predicted Year: 1826 Ex: 48.901068","Age: 5 ex_fr_female$Type: Predicted Year: 1827 Ex: 49.860533","Age: 5 ex_fr_female$Type: Predicted Year: 1828 Ex: 49.373230","Age: 5 ex_fr_female$Type: Predicted Year: 1829 Ex: 49.921218","Age: 5 ex_fr_female$Type: Predicted Year: 1830 Ex: 49.979390","Age: 5 ex_fr_female$Type: Predicted Year: 1831 Ex: 50.271863","Age: 5 ex_fr_female$Type: Predicted Year: 1832 Ex: 45.781038","Age: 5 ex_fr_female$Type: Predicted Year: 1833 Ex: 49.241380","Age: 5 ex_fr_female$Type: Predicted Year: 1834 Ex: 47.544351","Age: 5 ex_fr_female$Type: Predicted Year: 1835 Ex: 49.700715","Age: 5 ex_fr_female$Type: Predicted Year: 1836 Ex: 51.591376","Age: 5 ex_fr_female$Type: Predicted Year: 1837 Ex: 49.078232","Age: 5 ex_fr_female$Type: Predicted Year: 1838 Ex: 50.097517","Age: 5 ex_fr_female$Type: Predicted Year: 1839 Ex: 50.755921","Age: 5 ex_fr_female$Type: Predicted Year: 1840 Ex: 49.612217","Age: 5 ex_fr_female$Type: Predicted Year: 1841 Ex: 50.648297","Age: 5 ex_fr_female$Type: Predicted Year: 1842 Ex: 49.995186","Age: 5 ex_fr_female$Type: Predicted Year: 1843 Ex: 50.640052","Age: 5 ex_fr_female$Type: Predicted Year: 1844 Ex: 51.428924","Age: 5 ex_fr_female$Type: Predicted Year: 1845 Ex: 52.060743","Age: 5 ex_fr_female$Type: Predicted Year: 1846 Ex: 50.688481","Age: 5 ex_fr_female$Type: Predicted Year: 1847 Ex: 49.583516","Age: 5 ex_fr_female$Type: Predicted Year: 1848 Ex: 49.877436","Age: 5 ex_fr_female$Type: Predicted Year: 1849 Ex: 46.393116","Age: 5 ex_fr_female$Type: Predicted Year: 1850 Ex: 51.805016","Age: 5 ex_fr_female$Type: Predicted Year: 1851 Ex: 51.369525","Age: 5 ex_fr_female$Type: Predicted Year: 1852 Ex: 50.988951","Age: 5 ex_fr_female$Type: Predicted Year: 1853 Ex: 51.002388","Age: 5 ex_fr_female$Type: Predicted Year: 1854 Ex: 46.513237","Age: 5 ex_fr_female$Type: Predicted Year: 1855 Ex: 48.461018","Age: 5 ex_fr_female$Type: Predicted Year: 1856 Ex: 50.436848","Age: 5 ex_fr_female$Type: Predicted Year: 1857 Ex: 50.049267","Age: 5 ex_fr_female$Type: Predicted Year: 1858 Ex: 49.596000","Age: 5 ex_fr_female$Type: Predicted Year: 1859 Ex: 48.617298","Age: 5 ex_fr_female$Type: Predicted Year: 1860 Ex: 52.093428","Age: 5 ex_fr_female$Type: Predicted Year: 1861 Ex: 51.628707","Age: 5 ex_fr_female$Type: Predicted Year: 1862 Ex: 52.307443","Age: 5 ex_fr_female$Type: Predicted Year: 1863 Ex: 52.339370","Age: 5 ex_fr_female$Type: Predicted Year: 1864 Ex: 51.997227","Age: 5 ex_fr_female$Type: Predicted Year: 1865 Ex: 50.972522","Age: 5 ex_fr_female$Type: Predicted Year: 1866 Ex: 51.085909","Age: 5 ex_fr_female$Type: Predicted Year: 1867 Ex: 52.569068","Age: 5 ex_fr_female$Type: Predicted Year: 1868 Ex: 51.675729","Age: 5 ex_fr_female$Type: Predicted Year: 1869 Ex: 51.724913","Age: 5 ex_fr_female$Type: Predicted Year: 1870 Ex: 48.311926","Age: 5 ex_fr_female$Type: Predicted Year: 1871 Ex: 42.963745","Age: 5 ex_fr_female$Type: Predicted Year: 1872 Ex: 52.602798","Age: 5 ex_fr_female$Type: Predicted Year: 1873 Ex: 52.133711","Age: 5 ex_fr_female$Type: Predicted Year: 1874 Ex: 53.561095","Age: 5 ex_fr_female$Type: Predicted Year: 1875 Ex: 52.519404","Age: 5 ex_fr_female$Type: Predicted Year: 1876 Ex: 52.935254","Age: 5 ex_fr_female$Type: Predicted Year: 1877 Ex: 53.444399","Age: 5 ex_fr_female$Type: Predicted Year: 1878 Ex: 53.106024","Age: 5 ex_fr_female$Type: Predicted Year: 1879 Ex: 52.956911","Age: 5 ex_fr_female$Type: Predicted Year: 1880 Ex: 52.878223","Age: 5 ex_fr_female$Type: Predicted Year: 1881 Ex: 53.144546","Age: 5 ex_fr_female$Type: Predicted Year: 1882 Ex: 52.893277","Age: 5 ex_fr_female$Type: Predicted Year: 1883 Ex: 53.038865","Age: 5 ex_fr_female$Type: Predicted Year: 1884 Ex: 53.006802","Age: 5 ex_fr_female$Type: Predicted Year: 1885 Ex: 53.451631","Age: 5 ex_fr_female$Type: Predicted Year: 1886 Ex: 53.113833","Age: 5 ex_fr_female$Type: Predicted Year: 1887 Ex: 53.343796","Age: 5 ex_fr_female$Type: Predicted Year: 1888 Ex: 53.998162","Age: 5 ex_fr_female$Type: Predicted Year: 1889 Ex: 54.862233","Age: 5 ex_fr_female$Type: Predicted Year: 1890 Ex: 53.588808","Age: 5 ex_fr_female$Type: Predicted Year: 1891 Ex: 53.404948","Age: 5 ex_fr_female$Type: Predicted Year: 1892 Ex: 53.848676","Age: 5 ex_fr_female$Type: Predicted Year: 1893 Ex: 53.863387","Age: 5 ex_fr_female$Type: Predicted Year: 1894 Ex: 54.836833","Age: 5 ex_fr_female$Type: Predicted Year: 1895 Ex: 54.629237","Age: 5 ex_fr_female$Type: Predicted Year: 1896 Ex: 55.757010","Age: 5 ex_fr_female$Type: Predicted Year: 1897 Ex: 56.470747","Age: 5 ex_fr_female$Type: Predicted Year: 1898 Ex: 55.636581","Age: 5 ex_fr_female$Type: Predicted Year: 1899 Ex: 55.155795","Age: 5 ex_fr_female$Type: Predicted Year: 1900 Ex: 54.330113","Age: 5 ex_fr_female$Type: Predicted Year: 1901 Ex: 55.525418","Age: 5 ex_fr_female$Type: Predicted Year: 1902 Ex: 56.004713","Age: 5 ex_fr_female$Type: Predicted Year: 1903 Ex: 56.235988","Age: 5 ex_fr_female$Type: Predicted Year: 1904 Ex: 56.352363","Age: 5 ex_fr_female$Type: Predicted Year: 1905 Ex: 56.030057","Age: 5 ex_fr_female$Type: Predicted Year: 1906 Ex: 56.063301","Age: 5 ex_fr_female$Type: Predicted Year: 1907 Ex: 55.680085","Age: 5 ex_fr_female$Type: Predicted Year: 1908 Ex: 56.802239","Age: 5 ex_fr_female$Type: Predicted Year: 1909 Ex: 56.646727","Age: 5 ex_fr_female$Type: Predicted Year: 1910 Ex: 57.786391","Age: 5 ex_fr_female$Type: Predicted Year: 1911 Ex: 57.056105","Age: 5 ex_fr_female$Type: Predicted Year: 1912 Ex: 57.995487","Age: 5 ex_fr_female$Type: Predicted Year: 1913 Ex: 58.101163","Age: 5 ex_fr_female$Type: Predicted Year: 1914 Ex: 57.402678","Age: 5 ex_fr_female$Type: Predicted Year: 1915 Ex: 57.045269","Age: 5 ex_fr_female$Type: Predicted Year: 1916 Ex: 57.782519","Age: 5 ex_fr_female$Type: Predicted Year: 1917 Ex: 57.695390","Age: 5 ex_fr_female$Type: Predicted Year: 1918 Ex: 49.496002","Age: 5 ex_fr_female$Type: Predicted Year: 1919 Ex: 55.980311","Age: 5 ex_fr_female$Type: Predicted Year: 1920 Ex: 58.452495","Age: 5 ex_fr_female$Type: Predicted Year: 1921 Ex: 58.945933","Age: 5 ex_fr_female$Type: Predicted Year: 1922 Ex: 58.880483","Age: 5 ex_fr_female$Type: Predicted Year: 1923 Ex: 59.735107","Age: 5 ex_fr_female$Type: Predicted Year: 1924 Ex: 59.480505","Age: 5 ex_fr_female$Type: Predicted Year: 1925 Ex: 59.238822","Age: 5 ex_fr_female$Type: Predicted Year: 1926 Ex: 59.198126","Age: 5 ex_fr_female$Type: Predicted Year: 1927 Ex: 59.971509","Age: 5 ex_fr_female$Type: Predicted Year: 1928 Ex: 60.228986","Age: 5 ex_fr_female$Type: Predicted Year: 1929 Ex: 59.274434","Age: 5 ex_fr_female$Type: Predicted Year: 1930 Ex: 61.057989","Age: 5 ex_fr_female$Type: Predicted Year: 1931 Ex: 60.617413","Age: 5 ex_fr_female$Type: Predicted Year: 1932 Ex: 61.218248","Age: 5 ex_fr_female$Type: Predicted Year: 1933 Ex: 61.391475","Age: 5 ex_fr_female$Type: Predicted Year: 1934 Ex: 62.237204","Age: 5 ex_fr_female$Type: Predicted Year: 1935 Ex: 61.811522","Age: 5 ex_fr_female$Type: Predicted Year: 1936 Ex: 62.453561","Age: 5 ex_fr_female$Type: Predicted Year: 1937 Ex: 62.764241","Age: 5 ex_fr_female$Type: Predicted Year: 1938 Ex: 62.618560","Age: 5 ex_fr_female$Type: Predicted Year: 1939 Ex: 62.970368","Age: 5 ex_fr_female$Type: Predicted Year: 1940 Ex: 60.888033","Age: 5 ex_fr_female$Type: Predicted Year: 1941 Ex: 62.381781","Age: 5 ex_fr_female$Type: Predicted Year: 1942 Ex: 62.460847","Age: 5 ex_fr_female$Type: Predicted Year: 1943 Ex: 59.136806","Age: 5 ex_fr_female$Type: Predicted Year: 1944 Ex: 54.353615","Age: 5 ex_fr_female$Type: Predicted Year: 1945 Ex: 62.007111","Age: 5 ex_fr_female$Type: Predicted Year: 1946 Ex: 66.314875","Age: 5 ex_fr_female$Type: Predicted Year: 1947 Ex: 67.171297","Age: 5 ex_fr_female$Type: Predicted Year: 1948 Ex: 68.128395","Age: 5 ex_fr_female$Type: Predicted Year: 1949 Ex: 67.230066","Age: 5 ex_fr_female$Type: Predicted Year: 1950 Ex: 68.248365","Age: 5 ex_fr_female$Type: Predicted Year: 1951 Ex: 67.870692","Age: 5 ex_fr_female$Type: Predicted Year: 1952 Ex: 68.985614","Age: 5 ex_fr_female$Type: Predicted Year: 1953 Ex: 68.561016","Age: 5 ex_fr_female$Type: Predicted Year: 1954 Ex: 69.556672","Age: 5 ex_fr_female$Type: Predicted Year: 1955 Ex: 69.732270","Age: 5 ex_fr_female$Type: Predicted Year: 1956 Ex: 69.611620","Age: 5 ex_fr_female$Type: Predicted Year: 1957 Ex: 70.063801","Age: 5 ex_fr_female$Type: Predicted Year: 1958 Ex: 70.908400","Age: 5 ex_fr_female$Type: Predicted Year: 1959 Ex: 70.905649","Age: 5 ex_fr_female$Type: Predicted Year: 1960 Ex: 70.942393","Age: 5 ex_fr_female$Type: Predicted Year: 1961 Ex: 71.623739","Age: 5 ex_fr_female$Type: Predicted Year: 1962 Ex: 71.100370","Age: 5 ex_fr_female$Type: Predicted Year: 1963 Ex: 71.018760","Age: 5 ex_fr_female$Type: Predicted Year: 1964 Ex: 71.882344","Age: 5 ex_fr_female$Type: Predicted Year: 1965 Ex: 71.649216","Age: 5 ex_fr_female$Type: Predicted Year: 1966 Ex: 72.077468","Age: 5 ex_fr_female$Type: Predicted Year: 1967 Ex: 72.038091","Age: 5 ex_fr_female$Type: Predicted Year: 1968 Ex: 72.060293","Age: 5 ex_fr_female$Type: Predicted Year: 1969 Ex: 71.825739","Age: 5 ex_fr_female$Type: Predicted Year: 1970 Ex: 72.492718","Age: 5 ex_fr_female$Type: Predicted Year: 1971 Ex: 72.498196","Age: 5 ex_fr_female$Type: Predicted Year: 1972 Ex: 72.712986","Age: 5 ex_fr_female$Type: Predicted Year: 1973 Ex: 72.796775","Age: 5 ex_fr_female$Type: Predicted Year: 1974 Ex: 73.151266","Age: 5 ex_fr_female$Type: Predicted Year: 1975 Ex: 73.213949","Age: 5 ex_fr_female$Type: Predicted Year: 1976 Ex: 73.468704","Age: 5 ex_fr_female$Type: Predicted Year: 1977 Ex: 74.051968","Age: 5 ex_fr_female$Type: Predicted Year: 1978 Ex: 74.100770","Age: 5 ex_fr_female$Type: Predicted Year: 1979 Ex: 74.387336","Age: 5 ex_fr_female$Type: Predicted Year: 1980 Ex: 74.509361","Age: 5 ex_fr_female$Type: Predicted Year: 1981 Ex: 74.564146","Age: 5 ex_fr_female$Type: Predicted Year: 1982 Ex: 74.931271","Age: 5 ex_fr_female$Type: Predicted Year: 1983 Ex: 74.832525","Age: 5 ex_fr_female$Type: Predicted Year: 1984 Ex: 75.330825","Age: 5 ex_fr_female$Type: Predicted Year: 1985 Ex: 75.402484","Age: 5 ex_fr_female$Type: Predicted Year: 1986 Ex: 75.654600","Age: 5 ex_fr_female$Type: Predicted Year: 1987 Ex: 76.189976","Age: 5 ex_fr_female$Type: Predicted Year: 1988 Ex: 76.400498","Age: 5 ex_fr_female$Type: Predicted Year: 1989 Ex: 76.550557","Age: 5 ex_fr_female$Type: Predicted Year: 1990 Ex: 76.825282","Age: 5 ex_fr_female$Type: Predicted Year: 1991 Ex: 77.037825","Age: 5 ex_fr_female$Type: Predicted Year: 1992 Ex: 77.263383","Age: 5 ex_fr_female$Type: Predicted Year: 1993 Ex: 77.236623","Age: 5 ex_fr_female$Type: Predicted Year: 1994 Ex: 77.637910","Age: 5 ex_fr_female$Type: Predicted Year: 1995 Ex: 77.602582","Age: 5 ex_fr_female$Type: Predicted Year: 1996 Ex: 77.718789","Age: 5 ex_fr_female$Type: Predicted Year: 1997 Ex: 77.982135","Age: 5 ex_fr_female$Type: Predicted Year: 1998 Ex: 78.075728","Age: 5 ex_fr_female$Type: Predicted Year: 1999 Ex: 78.153560","Age: 5 ex_fr_female$Type: Predicted Year: 2000 Ex: 78.445570","Age: 5 ex_fr_female$Type: Predicted Year: 2001 Ex: 78.599196","Age: 5 ex_fr_female$Type: Predicted Year: 2002 Ex: 78.661536","Age: 5 ex_fr_female$Type: Predicted Year: 2003 Ex: 78.565041","Age: 5 ex_fr_female$Type: Predicted Year: 2004 Ex: 79.465821","Age: 5 ex_fr_female$Type: Predicted Year: 2005 Ex: 79.398874","Age: 5 ex_fr_female$Type: Predicted Year: 2006 Ex: 79.761326","Age: 5 ex_fr_female$Type: Predicted Year: 2007 Ex: 79.942310","Age: 5 ex_fr_female$Type: Predicted Year: 2008 Ex: 79.915551","Age: 5 ex_fr_female$Type: Predicted Year: 2009 Ex: 80.006975","Age: 5 ex_fr_female$Type: Predicted Year: 2010 Ex: 80.231040","Age: 5 ex_fr_female$Type: Predicted Year: 2011 Ex: 80.550031","Age: 5 ex_fr_female$Type: Predicted Year: 2012 Ex: 80.405023","Age: 5 ex_fr_female$Type: Predicted Year: 2013 Ex: 80.621633","Age: 5 ex_fr_female$Type: Predicted Year: 2014 Ex: 80.998408","Age: 5 ex_fr_female$Type: Predicted Year: 2015 Ex: 80.715969","Age: 5 ex_fr_female$Type: Predicted Year: 2016 Ex: 80.897935","Age: 5 ex_fr_female$Type: Predicted Year: 2017 Ex: 80.871875"],"frame":"5","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"6","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[49.84,49.45,48.8,48.4,49.15,50.14,49.84,50.68,50.73,49.64,48.51,49.38,48.99,49.43,49.48,49.82,45.36,48.79,47.19,49.18,51.01,48.53,49.61,50.23,49.09,50.16,49.46,50.13,50.85,51.45,50.14,49,49.31,45.93,51.18,50.81,50.43,50.36,45.98,47.93,49.89,49.48,49.05,48.25,51.49,51.1,51.71,51.71,51.33,50.35,50.42,51.91,51.07,51.1,47.73,42.52,51.93,51.44,52.81,51.79,52.23,52.78,52.4,52.22,52.18,52.44,52.2,52.33,52.32,52.83,52.52,52.62,53.29,54.1,52.86,52.66,53.09,53.11,54.06,53.81,54.92,55.57,54.74,54.3,53.44,54.65,55.1,55.32,55.42,55.09,55.12,54.74,55.86,55.68,56.79,56.08,57.03,57.12,56.4,56.11,56.82,56.74,48.64,55.02,57.48,57.95,57.83,58.68,58.4,58.19,58.15,58.91,59.18,58.23,59.99,59.54,60.14,60.3,61.15,60.7,61.35,61.65,61.49,61.84,59.79,61.27,61.35,58.04,53.29,60.92,65.17,66,66.94,66.04,67.05,66.68,67.78,67.35,68.34,68.52,68.39,68.85,69.69,69.69,69.72,70.4,69.88,69.8,70.66,70.42,70.86,70.81,70.84,70.6,71.27,71.28,71.49,71.57,71.92,71.98,72.24,72.82,72.87,73.16,73.28,73.33,73.7,73.6,74.1,74.17,74.42,74.96,75.16,75.32,75.59,75.8,76.03,76,76.4,76.36,76.48,76.74,76.84,76.92,77.2,77.36,77.42,77.32,78.22,78.16,78.52,78.7,78.67,78.76,78.98,79.31,79.16,79.38,79.75,79.47,79.65,79.63],"text":["Age: 6 ex_fr_female$Type: Observed Year: 1816 Ex: 49.840000","Age: 6 ex_fr_female$Type: Observed Year: 1817 Ex: 49.450000","Age: 6 ex_fr_female$Type: Observed Year: 1818 Ex: 48.800000","Age: 6 ex_fr_female$Type: Observed Year: 1819 Ex: 48.400000","Age: 6 ex_fr_female$Type: Observed Year: 1820 Ex: 49.150000","Age: 6 ex_fr_female$Type: Observed Year: 1821 Ex: 50.140000","Age: 6 ex_fr_female$Type: Observed Year: 1822 Ex: 49.840000","Age: 6 ex_fr_female$Type: Observed Year: 1823 Ex: 50.680000","Age: 6 ex_fr_female$Type: Observed Year: 1824 Ex: 50.730000","Age: 6 ex_fr_female$Type: Observed Year: 1825 Ex: 49.640000","Age: 6 ex_fr_female$Type: Observed Year: 1826 Ex: 48.510000","Age: 6 ex_fr_female$Type: Observed Year: 1827 Ex: 49.380000","Age: 6 ex_fr_female$Type: Observed Year: 1828 Ex: 48.990000","Age: 6 ex_fr_female$Type: Observed Year: 1829 Ex: 49.430000","Age: 6 ex_fr_female$Type: Observed Year: 1830 Ex: 49.480000","Age: 6 ex_fr_female$Type: Observed Year: 1831 Ex: 49.820000","Age: 6 ex_fr_female$Type: Observed Year: 1832 Ex: 45.360000","Age: 6 ex_fr_female$Type: Observed Year: 1833 Ex: 48.790000","Age: 6 ex_fr_female$Type: Observed Year: 1834 Ex: 47.190000","Age: 6 ex_fr_female$Type: Observed Year: 1835 Ex: 49.180000","Age: 6 ex_fr_female$Type: Observed Year: 1836 Ex: 51.010000","Age: 6 ex_fr_female$Type: Observed Year: 1837 Ex: 48.530000","Age: 6 ex_fr_female$Type: Observed Year: 1838 Ex: 49.610000","Age: 6 ex_fr_female$Type: Observed Year: 1839 Ex: 50.230000","Age: 6 ex_fr_female$Type: Observed Year: 1840 Ex: 49.090000","Age: 6 ex_fr_female$Type: Observed Year: 1841 Ex: 50.160000","Age: 6 ex_fr_female$Type: Observed Year: 1842 Ex: 49.460000","Age: 6 ex_fr_female$Type: Observed Year: 1843 Ex: 50.130000","Age: 6 ex_fr_female$Type: Observed Year: 1844 Ex: 50.850000","Age: 6 ex_fr_female$Type: Observed Year: 1845 Ex: 51.450000","Age: 6 ex_fr_female$Type: Observed Year: 1846 Ex: 50.140000","Age: 6 ex_fr_female$Type: Observed Year: 1847 Ex: 49.000000","Age: 6 ex_fr_female$Type: Observed Year: 1848 Ex: 49.310000","Age: 6 ex_fr_female$Type: Observed Year: 1849 Ex: 45.930000","Age: 6 ex_fr_female$Type: Observed Year: 1850 Ex: 51.180000","Age: 6 ex_fr_female$Type: Observed Year: 1851 Ex: 50.810000","Age: 6 ex_fr_female$Type: Observed Year: 1852 Ex: 50.430000","Age: 6 ex_fr_female$Type: Observed Year: 1853 Ex: 50.360000","Age: 6 ex_fr_female$Type: Observed Year: 1854 Ex: 45.980000","Age: 6 ex_fr_female$Type: Observed Year: 1855 Ex: 47.930000","Age: 6 ex_fr_female$Type: Observed Year: 1856 Ex: 49.890000","Age: 6 ex_fr_female$Type: Observed Year: 1857 Ex: 49.480000","Age: 6 ex_fr_female$Type: Observed Year: 1858 Ex: 49.050000","Age: 6 ex_fr_female$Type: Observed Year: 1859 Ex: 48.250000","Age: 6 ex_fr_female$Type: Observed Year: 1860 Ex: 51.490000","Age: 6 ex_fr_female$Type: Observed Year: 1861 Ex: 51.100000","Age: 6 ex_fr_female$Type: Observed Year: 1862 Ex: 51.710000","Age: 6 ex_fr_female$Type: Observed Year: 1863 Ex: 51.710000","Age: 6 ex_fr_female$Type: Observed Year: 1864 Ex: 51.330000","Age: 6 ex_fr_female$Type: Observed Year: 1865 Ex: 50.350000","Age: 6 ex_fr_female$Type: Observed Year: 1866 Ex: 50.420000","Age: 6 ex_fr_female$Type: Observed Year: 1867 Ex: 51.910000","Age: 6 ex_fr_female$Type: Observed Year: 1868 Ex: 51.070000","Age: 6 ex_fr_female$Type: Observed Year: 1869 Ex: 51.100000","Age: 6 ex_fr_female$Type: Observed Year: 1870 Ex: 47.730000","Age: 6 ex_fr_female$Type: Observed Year: 1871 Ex: 42.520000","Age: 6 ex_fr_female$Type: Observed Year: 1872 Ex: 51.930000","Age: 6 ex_fr_female$Type: Observed Year: 1873 Ex: 51.440000","Age: 6 ex_fr_female$Type: Observed Year: 1874 Ex: 52.810000","Age: 6 ex_fr_female$Type: Observed Year: 1875 Ex: 51.790000","Age: 6 ex_fr_female$Type: Observed Year: 1876 Ex: 52.230000","Age: 6 ex_fr_female$Type: Observed Year: 1877 Ex: 52.780000","Age: 6 ex_fr_female$Type: Observed Year: 1878 Ex: 52.400000","Age: 6 ex_fr_female$Type: Observed Year: 1879 Ex: 52.220000","Age: 6 ex_fr_female$Type: Observed Year: 1880 Ex: 52.180000","Age: 6 ex_fr_female$Type: Observed Year: 1881 Ex: 52.440000","Age: 6 ex_fr_female$Type: Observed Year: 1882 Ex: 52.200000","Age: 6 ex_fr_female$Type: Observed Year: 1883 Ex: 52.330000","Age: 6 ex_fr_female$Type: Observed Year: 1884 Ex: 52.320000","Age: 6 ex_fr_female$Type: Observed Year: 1885 Ex: 52.830000","Age: 6 ex_fr_female$Type: Observed Year: 1886 Ex: 52.520000","Age: 6 ex_fr_female$Type: Observed Year: 1887 Ex: 52.620000","Age: 6 ex_fr_female$Type: Observed Year: 1888 Ex: 53.290000","Age: 6 ex_fr_female$Type: Observed Year: 1889 Ex: 54.100000","Age: 6 ex_fr_female$Type: Observed Year: 1890 Ex: 52.860000","Age: 6 ex_fr_female$Type: Observed Year: 1891 Ex: 52.660000","Age: 6 ex_fr_female$Type: Observed Year: 1892 Ex: 53.090000","Age: 6 ex_fr_female$Type: Observed Year: 1893 Ex: 53.110000","Age: 6 ex_fr_female$Type: Observed Year: 1894 Ex: 54.060000","Age: 6 ex_fr_female$Type: Observed Year: 1895 Ex: 53.810000","Age: 6 ex_fr_female$Type: Observed Year: 1896 Ex: 54.920000","Age: 6 ex_fr_female$Type: Observed Year: 1897 Ex: 55.570000","Age: 6 ex_fr_female$Type: Observed Year: 1898 Ex: 54.740000","Age: 6 ex_fr_female$Type: Observed Year: 1899 Ex: 54.300000","Age: 6 ex_fr_female$Type: Observed Year: 1900 Ex: 53.440000","Age: 6 ex_fr_female$Type: Observed Year: 1901 Ex: 54.650000","Age: 6 ex_fr_female$Type: Observed Year: 1902 Ex: 55.100000","Age: 6 ex_fr_female$Type: Observed Year: 1903 Ex: 55.320000","Age: 6 ex_fr_female$Type: Observed Year: 1904 Ex: 55.420000","Age: 6 ex_fr_female$Type: Observed Year: 1905 Ex: 55.090000","Age: 6 ex_fr_female$Type: Observed Year: 1906 Ex: 55.120000","Age: 6 ex_fr_female$Type: Observed Year: 1907 Ex: 54.740000","Age: 6 ex_fr_female$Type: Observed Year: 1908 Ex: 55.860000","Age: 6 ex_fr_female$Type: Observed Year: 1909 Ex: 55.680000","Age: 6 ex_fr_female$Type: Observed Year: 1910 Ex: 56.790000","Age: 6 ex_fr_female$Type: Observed Year: 1911 Ex: 56.080000","Age: 6 ex_fr_female$Type: Observed Year: 1912 Ex: 57.030000","Age: 6 ex_fr_female$Type: Observed Year: 1913 Ex: 57.120000","Age: 6 ex_fr_female$Type: Observed Year: 1914 Ex: 56.400000","Age: 6 ex_fr_female$Type: Observed Year: 1915 Ex: 56.110000","Age: 6 ex_fr_female$Type: Observed Year: 1916 Ex: 56.820000","Age: 6 ex_fr_female$Type: Observed Year: 1917 Ex: 56.740000","Age: 6 ex_fr_female$Type: Observed Year: 1918 Ex: 48.640000","Age: 6 ex_fr_female$Type: Observed Year: 1919 Ex: 55.020000","Age: 6 ex_fr_female$Type: Observed Year: 1920 Ex: 57.480000","Age: 6 ex_fr_female$Type: Observed Year: 1921 Ex: 57.950000","Age: 6 ex_fr_female$Type: Observed Year: 1922 Ex: 57.830000","Age: 6 ex_fr_female$Type: Observed Year: 1923 Ex: 58.680000","Age: 6 ex_fr_female$Type: Observed Year: 1924 Ex: 58.400000","Age: 6 ex_fr_female$Type: Observed Year: 1925 Ex: 58.190000","Age: 6 ex_fr_female$Type: Observed Year: 1926 Ex: 58.150000","Age: 6 ex_fr_female$Type: Observed Year: 1927 Ex: 58.910000","Age: 6 ex_fr_female$Type: Observed Year: 1928 Ex: 59.180000","Age: 6 ex_fr_female$Type: Observed Year: 1929 Ex: 58.230000","Age: 6 ex_fr_female$Type: Observed Year: 1930 Ex: 59.990000","Age: 6 ex_fr_female$Type: Observed Year: 1931 Ex: 59.540000","Age: 6 ex_fr_female$Type: Observed Year: 1932 Ex: 60.140000","Age: 6 ex_fr_female$Type: Observed Year: 1933 Ex: 60.300000","Age: 6 ex_fr_female$Type: Observed Year: 1934 Ex: 61.150000","Age: 6 ex_fr_female$Type: Observed Year: 1935 Ex: 60.700000","Age: 6 ex_fr_female$Type: Observed Year: 1936 Ex: 61.350000","Age: 6 ex_fr_female$Type: Observed Year: 1937 Ex: 61.650000","Age: 6 ex_fr_female$Type: Observed Year: 1938 Ex: 61.490000","Age: 6 ex_fr_female$Type: Observed Year: 1939 Ex: 61.840000","Age: 6 ex_fr_female$Type: Observed Year: 1940 Ex: 59.790000","Age: 6 ex_fr_female$Type: Observed Year: 1941 Ex: 61.270000","Age: 6 ex_fr_female$Type: Observed Year: 1942 Ex: 61.350000","Age: 6 ex_fr_female$Type: Observed Year: 1943 Ex: 58.040000","Age: 6 ex_fr_female$Type: Observed Year: 1944 Ex: 53.290000","Age: 6 ex_fr_female$Type: Observed Year: 1945 Ex: 60.920000","Age: 6 ex_fr_female$Type: Observed Year: 1946 Ex: 65.170000","Age: 6 ex_fr_female$Type: Observed Year: 1947 Ex: 66.000000","Age: 6 ex_fr_female$Type: Observed Year: 1948 Ex: 66.940000","Age: 6 ex_fr_female$Type: Observed Year: 1949 Ex: 66.040000","Age: 6 ex_fr_female$Type: Observed Year: 1950 Ex: 67.050000","Age: 6 ex_fr_female$Type: Observed Year: 1951 Ex: 66.680000","Age: 6 ex_fr_female$Type: Observed Year: 1952 Ex: 67.780000","Age: 6 ex_fr_female$Type: Observed Year: 1953 Ex: 67.350000","Age: 6 ex_fr_female$Type: Observed Year: 1954 Ex: 68.340000","Age: 6 ex_fr_female$Type: Observed Year: 1955 Ex: 68.520000","Age: 6 ex_fr_female$Type: Observed Year: 1956 Ex: 68.390000","Age: 6 ex_fr_female$Type: Observed Year: 1957 Ex: 68.850000","Age: 6 ex_fr_female$Type: Observed Year: 1958 Ex: 69.690000","Age: 6 ex_fr_female$Type: Observed Year: 1959 Ex: 69.690000","Age: 6 ex_fr_female$Type: Observed Year: 1960 Ex: 69.720000","Age: 6 ex_fr_female$Type: Observed Year: 1961 Ex: 70.400000","Age: 6 ex_fr_female$Type: Observed Year: 1962 Ex: 69.880000","Age: 6 ex_fr_female$Type: Observed Year: 1963 Ex: 69.800000","Age: 6 ex_fr_female$Type: Observed Year: 1964 Ex: 70.660000","Age: 6 ex_fr_female$Type: Observed Year: 1965 Ex: 70.420000","Age: 6 ex_fr_female$Type: Observed Year: 1966 Ex: 70.860000","Age: 6 ex_fr_female$Type: Observed Year: 1967 Ex: 70.810000","Age: 6 ex_fr_female$Type: Observed Year: 1968 Ex: 70.840000","Age: 6 ex_fr_female$Type: Observed Year: 1969 Ex: 70.600000","Age: 6 ex_fr_female$Type: Observed Year: 1970 Ex: 71.270000","Age: 6 ex_fr_female$Type: Observed Year: 1971 Ex: 71.280000","Age: 6 ex_fr_female$Type: Observed Year: 1972 Ex: 71.490000","Age: 6 ex_fr_female$Type: Observed Year: 1973 Ex: 71.570000","Age: 6 ex_fr_female$Type: Observed Year: 1974 Ex: 71.920000","Age: 6 ex_fr_female$Type: Observed Year: 1975 Ex: 71.980000","Age: 6 ex_fr_female$Type: Observed Year: 1976 Ex: 72.240000","Age: 6 ex_fr_female$Type: Observed Year: 1977 Ex: 72.820000","Age: 6 ex_fr_female$Type: Observed Year: 1978 Ex: 72.870000","Age: 6 ex_fr_female$Type: Observed Year: 1979 Ex: 73.160000","Age: 6 ex_fr_female$Type: Observed Year: 1980 Ex: 73.280000","Age: 6 ex_fr_female$Type: Observed Year: 1981 Ex: 73.330000","Age: 6 ex_fr_female$Type: Observed Year: 1982 Ex: 73.700000","Age: 6 ex_fr_female$Type: Observed Year: 1983 Ex: 73.600000","Age: 6 ex_fr_female$Type: Observed Year: 1984 Ex: 74.100000","Age: 6 ex_fr_female$Type: Observed Year: 1985 Ex: 74.170000","Age: 6 ex_fr_female$Type: Observed Year: 1986 Ex: 74.420000","Age: 6 ex_fr_female$Type: Observed Year: 1987 Ex: 74.960000","Age: 6 ex_fr_female$Type: Observed Year: 1988 Ex: 75.160000","Age: 6 ex_fr_female$Type: Observed Year: 1989 Ex: 75.320000","Age: 6 ex_fr_female$Type: Observed Year: 1990 Ex: 75.590000","Age: 6 ex_fr_female$Type: Observed Year: 1991 Ex: 75.800000","Age: 6 ex_fr_female$Type: Observed Year: 1992 Ex: 76.030000","Age: 6 ex_fr_female$Type: Observed Year: 1993 Ex: 76.000000","Age: 6 ex_fr_female$Type: Observed Year: 1994 Ex: 76.400000","Age: 6 ex_fr_female$Type: Observed Year: 1995 Ex: 76.360000","Age: 6 ex_fr_female$Type: Observed Year: 1996 Ex: 76.480000","Age: 6 ex_fr_female$Type: Observed Year: 1997 Ex: 76.740000","Age: 6 ex_fr_female$Type: Observed Year: 1998 Ex: 76.840000","Age: 6 ex_fr_female$Type: Observed Year: 1999 Ex: 76.920000","Age: 6 ex_fr_female$Type: Observed Year: 2000 Ex: 77.200000","Age: 6 ex_fr_female$Type: Observed Year: 2001 Ex: 77.360000","Age: 6 ex_fr_female$Type: Observed Year: 2002 Ex: 77.420000","Age: 6 ex_fr_female$Type: Observed Year: 2003 Ex: 77.320000","Age: 6 ex_fr_female$Type: Observed Year: 2004 Ex: 78.220000","Age: 6 ex_fr_female$Type: Observed Year: 2005 Ex: 78.160000","Age: 6 ex_fr_female$Type: Observed Year: 2006 Ex: 78.520000","Age: 6 ex_fr_female$Type: Observed Year: 2007 Ex: 78.700000","Age: 6 ex_fr_female$Type: Observed Year: 2008 Ex: 78.670000","Age: 6 ex_fr_female$Type: Observed Year: 2009 Ex: 78.760000","Age: 6 ex_fr_female$Type: Observed Year: 2010 Ex: 78.980000","Age: 6 ex_fr_female$Type: Observed Year: 2011 Ex: 79.310000","Age: 6 ex_fr_female$Type: Observed Year: 2012 Ex: 79.160000","Age: 6 ex_fr_female$Type: Observed Year: 2013 Ex: 79.380000","Age: 6 ex_fr_female$Type: Observed Year: 2014 Ex: 79.750000","Age: 6 ex_fr_female$Type: Observed Year: 2015 Ex: 79.470000","Age: 6 ex_fr_female$Type: Observed Year: 2016 Ex: 79.650000","Age: 6 ex_fr_female$Type: Observed Year: 2017 Ex: 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6 ex_fr_female$Type: Predicted Year: 1816 Ex: 50.090311","Age: 6 ex_fr_female$Type: Predicted Year: 1817 Ex: 49.699965","Age: 6 ex_fr_female$Type: Predicted Year: 1818 Ex: 49.050289","Age: 6 ex_fr_female$Type: Predicted Year: 1819 Ex: 48.653000","Age: 6 ex_fr_female$Type: Predicted Year: 1820 Ex: 49.398578","Age: 6 ex_fr_female$Type: Predicted Year: 1821 Ex: 50.387633","Age: 6 ex_fr_female$Type: Predicted Year: 1822 Ex: 50.083916","Age: 6 ex_fr_female$Type: Predicted Year: 1823 Ex: 50.928665","Age: 6 ex_fr_female$Type: Predicted Year: 1824 Ex: 50.975925","Age: 6 ex_fr_female$Type: Predicted Year: 1825 Ex: 49.892097","Age: 6 ex_fr_female$Type: Predicted Year: 1826 Ex: 48.759012","Age: 6 ex_fr_female$Type: Predicted Year: 1827 Ex: 49.630093","Age: 6 ex_fr_female$Type: Predicted Year: 1828 Ex: 49.245015","Age: 6 ex_fr_female$Type: Predicted Year: 1829 Ex: 49.679679","Age: 6 ex_fr_female$Type: Predicted Year: 1830 Ex: 49.731710","Age: 6 ex_fr_female$Type: Predicted Year: 1831 Ex: 50.063509","Age: 6 ex_fr_female$Type: Predicted Year: 1832 Ex: 45.613644","Age: 6 ex_fr_female$Type: Predicted Year: 1833 Ex: 49.040411","Age: 6 ex_fr_female$Type: Predicted Year: 1834 Ex: 47.446287","Age: 6 ex_fr_female$Type: Predicted Year: 1835 Ex: 49.432317","Age: 6 ex_fr_female$Type: Predicted Year: 1836 Ex: 51.251628","Age: 6 ex_fr_female$Type: Predicted Year: 1837 Ex: 48.773469","Age: 6 ex_fr_female$Type: Predicted Year: 1838 Ex: 49.861705","Age: 6 ex_fr_female$Type: Predicted Year: 1839 Ex: 50.474148","Age: 6 ex_fr_female$Type: Predicted Year: 1840 Ex: 49.334030","Age: 6 ex_fr_female$Type: Predicted Year: 1841 Ex: 50.404169","Age: 6 ex_fr_female$Type: Predicted Year: 1842 Ex: 49.711580","Age: 6 ex_fr_female$Type: Predicted Year: 1843 Ex: 50.372901","Age: 6 ex_fr_female$Type: Predicted Year: 1844 Ex: 51.094299","Age: 6 ex_fr_female$Type: Predicted Year: 1845 Ex: 51.699908","Age: 6 ex_fr_female$Type: Predicted Year: 1846 Ex: 50.382332","Age: 6 ex_fr_female$Type: Predicted Year: 1847 Ex: 49.239204","Age: 6 ex_fr_female$Type: Predicted Year: 1848 Ex: 49.560074","Age: 6 ex_fr_female$Type: Predicted Year: 1849 Ex: 46.181387","Age: 6 ex_fr_female$Type: Predicted Year: 1850 Ex: 51.429066","Age: 6 ex_fr_female$Type: Predicted Year: 1851 Ex: 51.056806","Age: 6 ex_fr_female$Type: Predicted Year: 1852 Ex: 50.669043","Age: 6 ex_fr_female$Type: Predicted Year: 1853 Ex: 50.600320","Age: 6 ex_fr_female$Type: Predicted Year: 1854 Ex: 46.231078","Age: 6 ex_fr_female$Type: Predicted Year: 1855 Ex: 48.178567","Age: 6 ex_fr_female$Type: Predicted Year: 1856 Ex: 50.129245","Age: 6 ex_fr_female$Type: Predicted Year: 1857 Ex: 49.727751","Age: 6 ex_fr_female$Type: Predicted Year: 1858 Ex: 49.293667","Age: 6 ex_fr_female$Type: Predicted Year: 1859 Ex: 48.492745","Age: 6 ex_fr_female$Type: Predicted Year: 1860 Ex: 51.735610","Age: 6 ex_fr_female$Type: Predicted Year: 1861 Ex: 51.343851","Age: 6 ex_fr_female$Type: Predicted Year: 1862 Ex: 51.947044","Age: 6 ex_fr_female$Type: Predicted Year: 1863 Ex: 51.956803","Age: 6 ex_fr_female$Type: Predicted Year: 1864 Ex: 51.574640","Age: 6 ex_fr_female$Type: Predicted Year: 1865 Ex: 50.589511","Age: 6 ex_fr_female$Type: Predicted Year: 1866 Ex: 50.666917","Age: 6 ex_fr_female$Type: Predicted Year: 1867 Ex: 52.154472","Age: 6 ex_fr_female$Type: Predicted Year: 1868 Ex: 51.313749","Age: 6 ex_fr_female$Type: Predicted Year: 1869 Ex: 51.341767","Age: 6 ex_fr_female$Type: Predicted Year: 1870 Ex: 47.979224","Age: 6 ex_fr_female$Type: Predicted Year: 1871 Ex: 42.781758","Age: 6 ex_fr_female$Type: Predicted Year: 1872 Ex: 52.169090","Age: 6 ex_fr_female$Type: Predicted Year: 1873 Ex: 51.675073","Age: 6 ex_fr_female$Type: Predicted Year: 1874 Ex: 53.051513","Age: 6 ex_fr_female$Type: Predicted Year: 1875 Ex: 52.034332","Age: 6 ex_fr_female$Type: Predicted Year: 1876 Ex: 52.464890","Age: 6 ex_fr_female$Type: Predicted Year: 1877 Ex: 53.018233","Age: 6 ex_fr_female$Type: Predicted Year: 1878 Ex: 52.641104","Age: 6 ex_fr_female$Type: Predicted Year: 1879 Ex: 52.456571","Age: 6 ex_fr_female$Type: Predicted Year: 1880 Ex: 52.421041","Age: 6 ex_fr_female$Type: Predicted Year: 1881 Ex: 52.683209","Age: 6 ex_fr_female$Type: Predicted Year: 1882 Ex: 52.442075","Age: 6 ex_fr_female$Type: Predicted Year: 1883 Ex: 52.568486","Age: 6 ex_fr_female$Type: Predicted Year: 1884 Ex: 52.562626","Age: 6 ex_fr_female$Type: Predicted Year: 1885 Ex: 53.066775","Age: 6 ex_fr_female$Type: Predicted Year: 1886 Ex: 52.760194","Age: 6 ex_fr_female$Type: Predicted Year: 1887 Ex: 52.861547","Age: 6 ex_fr_female$Type: Predicted Year: 1888 Ex: 53.527187","Age: 6 ex_fr_female$Type: Predicted Year: 1889 Ex: 54.335605","Age: 6 ex_fr_female$Type: Predicted Year: 1890 Ex: 53.098239","Age: 6 ex_fr_female$Type: Predicted Year: 1891 Ex: 52.896058","Age: 6 ex_fr_female$Type: Predicted Year: 1892 Ex: 53.326678","Age: 6 ex_fr_female$Type: Predicted Year: 1893 Ex: 53.353367","Age: 6 ex_fr_female$Type: Predicted Year: 1894 Ex: 54.303407","Age: 6 ex_fr_female$Type: Predicted Year: 1895 Ex: 54.044370","Age: 6 ex_fr_female$Type: Predicted Year: 1896 Ex: 55.155185","Age: 6 ex_fr_female$Type: Predicted Year: 1897 Ex: 55.814339","Age: 6 ex_fr_female$Type: Predicted Year: 1898 Ex: 54.976717","Age: 6 ex_fr_female$Type: Predicted Year: 1899 Ex: 54.534225","Age: 6 ex_fr_female$Type: Predicted Year: 1900 Ex: 53.680608","Age: 6 ex_fr_female$Type: Predicted Year: 1901 Ex: 54.888127","Age: 6 ex_fr_female$Type: Predicted Year: 1902 Ex: 55.341536","Age: 6 ex_fr_female$Type: Predicted Year: 1903 Ex: 55.561318","Age: 6 ex_fr_female$Type: Predicted Year: 1904 Ex: 55.652536","Age: 6 ex_fr_female$Type: Predicted Year: 1905 Ex: 55.329057","Age: 6 ex_fr_female$Type: Predicted Year: 1906 Ex: 55.361362","Age: 6 ex_fr_female$Type: Predicted Year: 1907 Ex: 54.973316","Age: 6 ex_fr_female$Type: Predicted Year: 1908 Ex: 56.096339","Age: 6 ex_fr_female$Type: Predicted Year: 1909 Ex: 55.913495","Age: 6 ex_fr_female$Type: Predicted Year: 1910 Ex: 57.027500","Age: 6 ex_fr_female$Type: Predicted Year: 1911 Ex: 56.315159","Age: 6 ex_fr_female$Type: Predicted Year: 1912 Ex: 57.270397","Age: 6 ex_fr_female$Type: Predicted Year: 1913 Ex: 57.360375","Age: 6 ex_fr_female$Type: Predicted Year: 1914 Ex: 56.639886","Age: 6 ex_fr_female$Type: Predicted Year: 1915 Ex: 56.350871","Age: 6 ex_fr_female$Type: Predicted Year: 1916 Ex: 57.058712","Age: 6 ex_fr_female$Type: Predicted Year: 1917 Ex: 56.975187","Age: 6 ex_fr_female$Type: Predicted Year: 1918 Ex: 48.889544","Age: 6 ex_fr_female$Type: Predicted Year: 1919 Ex: 55.248930","Age: 6 ex_fr_female$Type: Predicted Year: 1920 Ex: 57.711540","Age: 6 ex_fr_female$Type: Predicted Year: 1921 Ex: 58.181946","Age: 6 ex_fr_female$Type: Predicted Year: 1922 Ex: 58.064672","Age: 6 ex_fr_female$Type: Predicted Year: 1923 Ex: 58.920209","Age: 6 ex_fr_female$Type: Predicted Year: 1924 Ex: 58.640559","Age: 6 ex_fr_female$Type: Predicted Year: 1925 Ex: 58.426498","Age: 6 ex_fr_female$Type: Predicted Year: 1926 Ex: 58.385673","Age: 6 ex_fr_female$Type: Predicted Year: 1927 Ex: 59.143630","Age: 6 ex_fr_female$Type: Predicted Year: 1928 Ex: 59.412635","Age: 6 ex_fr_female$Type: Predicted Year: 1929 Ex: 58.462813","Age: 6 ex_fr_female$Type: Predicted Year: 1930 Ex: 60.224753","Age: 6 ex_fr_female$Type: Predicted Year: 1931 Ex: 59.775730","Age: 6 ex_fr_female$Type: Predicted Year: 1932 Ex: 60.381800","Age: 6 ex_fr_female$Type: Predicted Year: 1933 Ex: 60.534128","Age: 6 ex_fr_female$Type: Predicted Year: 1934 Ex: 61.385551","Age: 6 ex_fr_female$Type: Predicted Year: 1935 Ex: 60.942255","Age: 6 ex_fr_female$Type: Predicted Year: 1936 Ex: 61.587526","Age: 6 ex_fr_female$Type: Predicted Year: 1937 Ex: 61.886398","Age: 6 ex_fr_female$Type: Predicted Year: 1938 Ex: 61.733585","Age: 6 ex_fr_female$Type: Predicted Year: 1939 Ex: 62.081664","Age: 6 ex_fr_female$Type: Predicted Year: 1940 Ex: 60.028901","Age: 6 ex_fr_female$Type: Predicted Year: 1941 Ex: 61.503188","Age: 6 ex_fr_female$Type: Predicted Year: 1942 Ex: 61.581789","Age: 6 ex_fr_female$Type: Predicted Year: 1943 Ex: 58.281818","Age: 6 ex_fr_female$Type: Predicted Year: 1944 Ex: 53.532706","Age: 6 ex_fr_female$Type: Predicted Year: 1945 Ex: 61.157372","Age: 6 ex_fr_female$Type: Predicted Year: 1946 Ex: 65.413671","Age: 6 ex_fr_female$Type: Predicted Year: 1947 Ex: 66.244676","Age: 6 ex_fr_female$Type: Predicted Year: 1948 Ex: 67.188611","Age: 6 ex_fr_female$Type: Predicted Year: 1949 Ex: 66.287478","Age: 6 ex_fr_female$Type: Predicted Year: 1950 Ex: 67.297840","Age: 6 ex_fr_female$Type: Predicted Year: 1951 Ex: 66.921913","Age: 6 ex_fr_female$Type: Predicted Year: 1952 Ex: 68.029459","Age: 6 ex_fr_female$Type: Predicted Year: 1953 Ex: 67.603908","Age: 6 ex_fr_female$Type: Predicted Year: 1954 Ex: 68.592591","Age: 6 ex_fr_female$Type: Predicted Year: 1955 Ex: 68.767587","Age: 6 ex_fr_female$Type: Predicted Year: 1956 Ex: 68.642727","Age: 6 ex_fr_female$Type: Predicted Year: 1957 Ex: 69.097200","Age: 6 ex_fr_female$Type: Predicted Year: 1958 Ex: 69.937977","Age: 6 ex_fr_female$Type: Predicted Year: 1959 Ex: 69.942270","Age: 6 ex_fr_female$Type: Predicted Year: 1960 Ex: 69.976214","Age: 6 ex_fr_female$Type: Predicted Year: 1961 Ex: 70.651483","Age: 6 ex_fr_female$Type: Predicted Year: 1962 Ex: 70.131441","Age: 6 ex_fr_female$Type: Predicted Year: 1963 Ex: 70.049795","Age: 6 ex_fr_female$Type: Predicted Year: 1964 Ex: 70.913045","Age: 6 ex_fr_female$Type: Predicted Year: 1965 Ex: 70.676257","Age: 6 ex_fr_female$Type: Predicted Year: 1966 Ex: 71.108253","Age: 6 ex_fr_female$Type: Predicted Year: 1967 Ex: 71.062418","Age: 6 ex_fr_female$Type: Predicted Year: 1968 Ex: 71.092502","Age: 6 ex_fr_female$Type: Predicted Year: 1969 Ex: 70.856416","Age: 6 ex_fr_female$Type: Predicted Year: 1970 Ex: 71.522241","Age: 6 ex_fr_female$Type: Predicted Year: 1971 Ex: 71.525561","Age: 6 ex_fr_female$Type: Predicted Year: 1972 Ex: 71.743321","Age: 6 ex_fr_female$Type: Predicted Year: 1973 Ex: 71.826423","Age: 6 ex_fr_female$Type: Predicted Year: 1974 Ex: 72.175971","Age: 6 ex_fr_female$Type: Predicted Year: 1975 Ex: 72.232857","Age: 6 ex_fr_female$Type: Predicted Year: 1976 Ex: 72.493518","Age: 6 ex_fr_female$Type: Predicted Year: 1977 Ex: 73.072565","Age: 6 ex_fr_female$Type: Predicted Year: 1978 Ex: 73.125799","Age: 6 ex_fr_female$Type: Predicted Year: 1979 Ex: 73.410245","Age: 6 ex_fr_female$Type: Predicted Year: 1980 Ex: 73.534529","Age: 6 ex_fr_female$Type: Predicted Year: 1981 Ex: 73.584146","Age: 6 ex_fr_female$Type: Predicted Year: 1982 Ex: 73.953604","Age: 6 ex_fr_female$Type: Predicted Year: 1983 Ex: 73.854085","Age: 6 ex_fr_female$Type: Predicted Year: 1984 Ex: 74.348787","Age: 6 ex_fr_female$Type: Predicted Year: 1985 Ex: 74.418964","Age: 6 ex_fr_female$Type: Predicted Year: 1986 Ex: 74.670384","Age: 6 ex_fr_female$Type: Predicted Year: 1987 Ex: 75.209658","Age: 6 ex_fr_female$Type: Predicted Year: 1988 Ex: 75.414920","Age: 6 ex_fr_female$Type: Predicted Year: 1989 Ex: 75.566529","Age: 6 ex_fr_female$Type: Predicted Year: 1990 Ex: 75.838259","Age: 6 ex_fr_female$Type: Predicted Year: 1991 Ex: 76.053134","Age: 6 ex_fr_female$Type: Predicted Year: 1992 Ex: 76.277969","Age: 6 ex_fr_female$Type: Predicted Year: 1993 Ex: 76.250436","Age: 6 ex_fr_female$Type: Predicted Year: 1994 Ex: 76.650253","Age: 6 ex_fr_female$Type: Predicted Year: 1995 Ex: 76.612606","Age: 6 ex_fr_female$Type: Predicted Year: 1996 Ex: 76.730372","Age: 6 ex_fr_female$Type: Predicted Year: 1997 Ex: 76.989883","Age: 6 ex_fr_female$Type: Predicted Year: 1998 Ex: 77.087366","Age: 6 ex_fr_female$Type: Predicted Year: 1999 Ex: 77.165986","Age: 6 ex_fr_female$Type: Predicted Year: 2000 Ex: 77.453365","Age: 6 ex_fr_female$Type: Predicted Year: 2001 Ex: 77.608569","Age: 6 ex_fr_female$Type: Predicted Year: 2002 Ex: 77.670916","Age: 6 ex_fr_female$Type: Predicted Year: 2003 Ex: 77.573629","Age: 6 ex_fr_female$Type: Predicted Year: 2004 Ex: 78.473718","Age: 6 ex_fr_female$Type: Predicted Year: 2005 Ex: 78.407553","Age: 6 ex_fr_female$Type: Predicted Year: 2006 Ex: 78.770045","Age: 6 ex_fr_female$Type: Predicted Year: 2007 Ex: 78.950254","Age: 6 ex_fr_female$Type: Predicted Year: 2008 Ex: 78.922699","Age: 6 ex_fr_female$Type: Predicted Year: 2009 Ex: 79.014131","Age: 6 ex_fr_female$Type: Predicted Year: 2010 Ex: 79.235026","Age: 6 ex_fr_female$Type: Predicted Year: 2011 Ex: 79.558036","Age: 6 ex_fr_female$Type: Predicted Year: 2012 Ex: 79.409818","Age: 6 ex_fr_female$Type: Predicted Year: 2013 Ex: 79.632049","Age: 6 ex_fr_female$Type: Predicted Year: 2014 Ex: 80.004043","Age: 6 ex_fr_female$Type: Predicted Year: 2015 Ex: 79.721585","Age: 6 ex_fr_female$Type: Predicted Year: 2016 Ex: 79.905171","Age: 6 ex_fr_female$Type: Predicted Year: 2017 Ex: 79.877501"],"frame":"6","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"7","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[49.44,49.08,48.48,48.16,48.84,49.85,49.53,50.36,50.4,49.35,48.25,49.04,48.72,49.08,49.11,49.48,45.11,48.49,46.96,48.82,50.56,48.09,49.23,49.82,48.71,49.79,49.08,49.73,50.4,50.98,49.69,48.54,48.89,45.59,50.71,50.39,49.99,49.84,45.54,47.52,49.46,49.05,48.63,47.94,51,50.62,51.2,51.17,50.77,49.81,49.88,51.33,50.55,50.58,47.26,42.21,51.39,50.85,52.18,51.19,51.61,52.18,51.84,51.61,51.61,51.87,51.64,51.74,51.75,52.25,51.95,52.02,52.68,53.45,52.23,52.02,52.44,52.48,53.4,53.1,54.21,54.85,54.01,53.6,52.74,53.94,54.38,54.6,54.65,54.33,54.37,53.97,55.08,54.9,55.99,55.27,56.24,56.33,55.61,55.35,56.05,55.96,47.97,54.25,56.69,57.14,56.97,57.85,57.54,57.35,57.3,58.03,58.33,57.39,59.12,58.67,59.27,59.42,60.27,59.81,60.46,60.76,60.61,60.94,58.91,60.37,60.45,57.18,52.45,60.05,64.26,65.07,65.99,65.08,66.1,65.71,66.81,66.38,67.37,67.54,67.42,67.88,68.72,68.72,68.75,69.42,68.9,68.82,69.68,69.45,69.88,69.83,69.86,69.63,70.3,70.3,70.52,70.6,70.95,71.01,71.27,71.84,71.89,72.18,72.3,72.35,72.72,72.62,73.11,73.18,73.43,73.97,74.18,74.33,74.6,74.81,75.04,75.01,75.41,75.37,75.49,75.75,75.85,75.92,76.21,76.37,76.43,76.33,77.23,77.17,77.52,77.7,77.68,77.77,77.99,78.31,78.17,78.38,78.76,78.48,78.66,78.63],"text":["Age: 7 ex_fr_female$Type: Observed Year: 1816 Ex: 49.440000","Age: 7 ex_fr_female$Type: Observed Year: 1817 Ex: 49.080000","Age: 7 ex_fr_female$Type: Observed Year: 1818 Ex: 48.480000","Age: 7 ex_fr_female$Type: Observed Year: 1819 Ex: 48.160000","Age: 7 ex_fr_female$Type: Observed Year: 1820 Ex: 48.840000","Age: 7 ex_fr_female$Type: Observed Year: 1821 Ex: 49.850000","Age: 7 ex_fr_female$Type: Observed Year: 1822 Ex: 49.530000","Age: 7 ex_fr_female$Type: Observed Year: 1823 Ex: 50.360000","Age: 7 ex_fr_female$Type: Observed Year: 1824 Ex: 50.400000","Age: 7 ex_fr_female$Type: Observed Year: 1825 Ex: 49.350000","Age: 7 ex_fr_female$Type: Observed Year: 1826 Ex: 48.250000","Age: 7 ex_fr_female$Type: Observed Year: 1827 Ex: 49.040000","Age: 7 ex_fr_female$Type: Observed Year: 1828 Ex: 48.720000","Age: 7 ex_fr_female$Type: Observed Year: 1829 Ex: 49.080000","Age: 7 ex_fr_female$Type: Observed Year: 1830 Ex: 49.110000","Age: 7 ex_fr_female$Type: Observed Year: 1831 Ex: 49.480000","Age: 7 ex_fr_female$Type: Observed Year: 1832 Ex: 45.110000","Age: 7 ex_fr_female$Type: Observed Year: 1833 Ex: 48.490000","Age: 7 ex_fr_female$Type: Observed Year: 1834 Ex: 46.960000","Age: 7 ex_fr_female$Type: Observed Year: 1835 Ex: 48.820000","Age: 7 ex_fr_female$Type: Observed Year: 1836 Ex: 50.560000","Age: 7 ex_fr_female$Type: Observed Year: 1837 Ex: 48.090000","Age: 7 ex_fr_female$Type: Observed Year: 1838 Ex: 49.230000","Age: 7 ex_fr_female$Type: Observed Year: 1839 Ex: 49.820000","Age: 7 ex_fr_female$Type: Observed Year: 1840 Ex: 48.710000","Age: 7 ex_fr_female$Type: Observed Year: 1841 Ex: 49.790000","Age: 7 ex_fr_female$Type: Observed Year: 1842 Ex: 49.080000","Age: 7 ex_fr_female$Type: Observed Year: 1843 Ex: 49.730000","Age: 7 ex_fr_female$Type: Observed Year: 1844 Ex: 50.400000","Age: 7 ex_fr_female$Type: Observed Year: 1845 Ex: 50.980000","Age: 7 ex_fr_female$Type: Observed Year: 1846 Ex: 49.690000","Age: 7 ex_fr_female$Type: Observed Year: 1847 Ex: 48.540000","Age: 7 ex_fr_female$Type: Observed Year: 1848 Ex: 48.890000","Age: 7 ex_fr_female$Type: Observed Year: 1849 Ex: 45.590000","Age: 7 ex_fr_female$Type: Observed Year: 1850 Ex: 50.710000","Age: 7 ex_fr_female$Type: Observed Year: 1851 Ex: 50.390000","Age: 7 ex_fr_female$Type: Observed Year: 1852 Ex: 49.990000","Age: 7 ex_fr_female$Type: Observed Year: 1853 Ex: 49.840000","Age: 7 ex_fr_female$Type: Observed Year: 1854 Ex: 45.540000","Age: 7 ex_fr_female$Type: Observed Year: 1855 Ex: 47.520000","Age: 7 ex_fr_female$Type: Observed Year: 1856 Ex: 49.460000","Age: 7 ex_fr_female$Type: Observed Year: 1857 Ex: 49.050000","Age: 7 ex_fr_female$Type: Observed Year: 1858 Ex: 48.630000","Age: 7 ex_fr_female$Type: Observed Year: 1859 Ex: 47.940000","Age: 7 ex_fr_female$Type: Observed Year: 1860 Ex: 51.000000","Age: 7 ex_fr_female$Type: Observed Year: 1861 Ex: 50.620000","Age: 7 ex_fr_female$Type: Observed Year: 1862 Ex: 51.200000","Age: 7 ex_fr_female$Type: Observed Year: 1863 Ex: 51.170000","Age: 7 ex_fr_female$Type: Observed Year: 1864 Ex: 50.770000","Age: 7 ex_fr_female$Type: Observed Year: 1865 Ex: 49.810000","Age: 7 ex_fr_female$Type: Observed Year: 1866 Ex: 49.880000","Age: 7 ex_fr_female$Type: Observed Year: 1867 Ex: 51.330000","Age: 7 ex_fr_female$Type: Observed Year: 1868 Ex: 50.550000","Age: 7 ex_fr_female$Type: Observed Year: 1869 Ex: 50.580000","Age: 7 ex_fr_female$Type: Observed Year: 1870 Ex: 47.260000","Age: 7 ex_fr_female$Type: Observed Year: 1871 Ex: 42.210000","Age: 7 ex_fr_female$Type: Observed Year: 1872 Ex: 51.390000","Age: 7 ex_fr_female$Type: Observed Year: 1873 Ex: 50.850000","Age: 7 ex_fr_female$Type: Observed Year: 1874 Ex: 52.180000","Age: 7 ex_fr_female$Type: Observed Year: 1875 Ex: 51.190000","Age: 7 ex_fr_female$Type: Observed Year: 1876 Ex: 51.610000","Age: 7 ex_fr_female$Type: Observed Year: 1877 Ex: 52.180000","Age: 7 ex_fr_female$Type: Observed Year: 1878 Ex: 51.840000","Age: 7 ex_fr_female$Type: Observed Year: 1879 Ex: 51.610000","Age: 7 ex_fr_female$Type: Observed Year: 1880 Ex: 51.610000","Age: 7 ex_fr_female$Type: Observed Year: 1881 Ex: 51.870000","Age: 7 ex_fr_female$Type: Observed Year: 1882 Ex: 51.640000","Age: 7 ex_fr_female$Type: Observed Year: 1883 Ex: 51.740000","Age: 7 ex_fr_female$Type: Observed Year: 1884 Ex: 51.750000","Age: 7 ex_fr_female$Type: Observed Year: 1885 Ex: 52.250000","Age: 7 ex_fr_female$Type: Observed Year: 1886 Ex: 51.950000","Age: 7 ex_fr_female$Type: Observed Year: 1887 Ex: 52.020000","Age: 7 ex_fr_female$Type: Observed Year: 1888 Ex: 52.680000","Age: 7 ex_fr_female$Type: Observed Year: 1889 Ex: 53.450000","Age: 7 ex_fr_female$Type: Observed Year: 1890 Ex: 52.230000","Age: 7 ex_fr_female$Type: Observed Year: 1891 Ex: 52.020000","Age: 7 ex_fr_female$Type: Observed Year: 1892 Ex: 52.440000","Age: 7 ex_fr_female$Type: Observed Year: 1893 Ex: 52.480000","Age: 7 ex_fr_female$Type: Observed Year: 1894 Ex: 53.400000","Age: 7 ex_fr_female$Type: Observed Year: 1895 Ex: 53.100000","Age: 7 ex_fr_female$Type: Observed Year: 1896 Ex: 54.210000","Age: 7 ex_fr_female$Type: Observed Year: 1897 Ex: 54.850000","Age: 7 ex_fr_female$Type: Observed Year: 1898 Ex: 54.010000","Age: 7 ex_fr_female$Type: Observed Year: 1899 Ex: 53.600000","Age: 7 ex_fr_female$Type: Observed Year: 1900 Ex: 52.740000","Age: 7 ex_fr_female$Type: Observed Year: 1901 Ex: 53.940000","Age: 7 ex_fr_female$Type: Observed Year: 1902 Ex: 54.380000","Age: 7 ex_fr_female$Type: Observed Year: 1903 Ex: 54.600000","Age: 7 ex_fr_female$Type: Observed Year: 1904 Ex: 54.650000","Age: 7 ex_fr_female$Type: Observed Year: 1905 Ex: 54.330000","Age: 7 ex_fr_female$Type: Observed Year: 1906 Ex: 54.370000","Age: 7 ex_fr_female$Type: Observed Year: 1907 Ex: 53.970000","Age: 7 ex_fr_female$Type: Observed Year: 1908 Ex: 55.080000","Age: 7 ex_fr_female$Type: Observed Year: 1909 Ex: 54.900000","Age: 7 ex_fr_female$Type: Observed Year: 1910 Ex: 55.990000","Age: 7 ex_fr_female$Type: Observed Year: 1911 Ex: 55.270000","Age: 7 ex_fr_female$Type: Observed Year: 1912 Ex: 56.240000","Age: 7 ex_fr_female$Type: Observed Year: 1913 Ex: 56.330000","Age: 7 ex_fr_female$Type: Observed Year: 1914 Ex: 55.610000","Age: 7 ex_fr_female$Type: Observed Year: 1915 Ex: 55.350000","Age: 7 ex_fr_female$Type: Observed Year: 1916 Ex: 56.050000","Age: 7 ex_fr_female$Type: Observed Year: 1917 Ex: 55.960000","Age: 7 ex_fr_female$Type: Observed Year: 1918 Ex: 47.970000","Age: 7 ex_fr_female$Type: Observed Year: 1919 Ex: 54.250000","Age: 7 ex_fr_female$Type: Observed Year: 1920 Ex: 56.690000","Age: 7 ex_fr_female$Type: Observed Year: 1921 Ex: 57.140000","Age: 7 ex_fr_female$Type: Observed Year: 1922 Ex: 56.970000","Age: 7 ex_fr_female$Type: Observed Year: 1923 Ex: 57.850000","Age: 7 ex_fr_female$Type: Observed Year: 1924 Ex: 57.540000","Age: 7 ex_fr_female$Type: Observed Year: 1925 Ex: 57.350000","Age: 7 ex_fr_female$Type: Observed Year: 1926 Ex: 57.300000","Age: 7 ex_fr_female$Type: Observed Year: 1927 Ex: 58.030000","Age: 7 ex_fr_female$Type: Observed Year: 1928 Ex: 58.330000","Age: 7 ex_fr_female$Type: Observed Year: 1929 Ex: 57.390000","Age: 7 ex_fr_female$Type: Observed Year: 1930 Ex: 59.120000","Age: 7 ex_fr_female$Type: Observed Year: 1931 Ex: 58.670000","Age: 7 ex_fr_female$Type: Observed Year: 1932 Ex: 59.270000","Age: 7 ex_fr_female$Type: Observed Year: 1933 Ex: 59.420000","Age: 7 ex_fr_female$Type: Observed Year: 1934 Ex: 60.270000","Age: 7 ex_fr_female$Type: Observed Year: 1935 Ex: 59.810000","Age: 7 ex_fr_female$Type: Observed Year: 1936 Ex: 60.460000","Age: 7 ex_fr_female$Type: Observed Year: 1937 Ex: 60.760000","Age: 7 ex_fr_female$Type: Observed Year: 1938 Ex: 60.610000","Age: 7 ex_fr_female$Type: Observed Year: 1939 Ex: 60.940000","Age: 7 ex_fr_female$Type: Observed Year: 1940 Ex: 58.910000","Age: 7 ex_fr_female$Type: Observed Year: 1941 Ex: 60.370000","Age: 7 ex_fr_female$Type: Observed Year: 1942 Ex: 60.450000","Age: 7 ex_fr_female$Type: Observed Year: 1943 Ex: 57.180000","Age: 7 ex_fr_female$Type: Observed Year: 1944 Ex: 52.450000","Age: 7 ex_fr_female$Type: Observed Year: 1945 Ex: 60.050000","Age: 7 ex_fr_female$Type: Observed Year: 1946 Ex: 64.260000","Age: 7 ex_fr_female$Type: Observed Year: 1947 Ex: 65.070000","Age: 7 ex_fr_female$Type: Observed Year: 1948 Ex: 65.990000","Age: 7 ex_fr_female$Type: Observed Year: 1949 Ex: 65.080000","Age: 7 ex_fr_female$Type: Observed Year: 1950 Ex: 66.100000","Age: 7 ex_fr_female$Type: Observed Year: 1951 Ex: 65.710000","Age: 7 ex_fr_female$Type: Observed Year: 1952 Ex: 66.810000","Age: 7 ex_fr_female$Type: Observed Year: 1953 Ex: 66.380000","Age: 7 ex_fr_female$Type: Observed Year: 1954 Ex: 67.370000","Age: 7 ex_fr_female$Type: Observed Year: 1955 Ex: 67.540000","Age: 7 ex_fr_female$Type: Observed Year: 1956 Ex: 67.420000","Age: 7 ex_fr_female$Type: Observed Year: 1957 Ex: 67.880000","Age: 7 ex_fr_female$Type: Observed Year: 1958 Ex: 68.720000","Age: 7 ex_fr_female$Type: Observed Year: 1959 Ex: 68.720000","Age: 7 ex_fr_female$Type: Observed Year: 1960 Ex: 68.750000","Age: 7 ex_fr_female$Type: Observed Year: 1961 Ex: 69.420000","Age: 7 ex_fr_female$Type: Observed Year: 1962 Ex: 68.900000","Age: 7 ex_fr_female$Type: Observed Year: 1963 Ex: 68.820000","Age: 7 ex_fr_female$Type: Observed Year: 1964 Ex: 69.680000","Age: 7 ex_fr_female$Type: Observed Year: 1965 Ex: 69.450000","Age: 7 ex_fr_female$Type: Observed Year: 1966 Ex: 69.880000","Age: 7 ex_fr_female$Type: Observed Year: 1967 Ex: 69.830000","Age: 7 ex_fr_female$Type: Observed Year: 1968 Ex: 69.860000","Age: 7 ex_fr_female$Type: Observed Year: 1969 Ex: 69.630000","Age: 7 ex_fr_female$Type: Observed Year: 1970 Ex: 70.300000","Age: 7 ex_fr_female$Type: Observed Year: 1971 Ex: 70.300000","Age: 7 ex_fr_female$Type: Observed Year: 1972 Ex: 70.520000","Age: 7 ex_fr_female$Type: Observed Year: 1973 Ex: 70.600000","Age: 7 ex_fr_female$Type: Observed Year: 1974 Ex: 70.950000","Age: 7 ex_fr_female$Type: Observed Year: 1975 Ex: 71.010000","Age: 7 ex_fr_female$Type: Observed Year: 1976 Ex: 71.270000","Age: 7 ex_fr_female$Type: Observed Year: 1977 Ex: 71.840000","Age: 7 ex_fr_female$Type: Observed Year: 1978 Ex: 71.890000","Age: 7 ex_fr_female$Type: Observed Year: 1979 Ex: 72.180000","Age: 7 ex_fr_female$Type: Observed Year: 1980 Ex: 72.300000","Age: 7 ex_fr_female$Type: Observed Year: 1981 Ex: 72.350000","Age: 7 ex_fr_female$Type: Observed Year: 1982 Ex: 72.720000","Age: 7 ex_fr_female$Type: Observed Year: 1983 Ex: 72.620000","Age: 7 ex_fr_female$Type: Observed Year: 1984 Ex: 73.110000","Age: 7 ex_fr_female$Type: Observed Year: 1985 Ex: 73.180000","Age: 7 ex_fr_female$Type: Observed Year: 1986 Ex: 73.430000","Age: 7 ex_fr_female$Type: Observed Year: 1987 Ex: 73.970000","Age: 7 ex_fr_female$Type: Observed Year: 1988 Ex: 74.180000","Age: 7 ex_fr_female$Type: Observed Year: 1989 Ex: 74.330000","Age: 7 ex_fr_female$Type: Observed Year: 1990 Ex: 74.600000","Age: 7 ex_fr_female$Type: Observed Year: 1991 Ex: 74.810000","Age: 7 ex_fr_female$Type: Observed Year: 1992 Ex: 75.040000","Age: 7 ex_fr_female$Type: Observed Year: 1993 Ex: 75.010000","Age: 7 ex_fr_female$Type: Observed Year: 1994 Ex: 75.410000","Age: 7 ex_fr_female$Type: Observed Year: 1995 Ex: 75.370000","Age: 7 ex_fr_female$Type: Observed Year: 1996 Ex: 75.490000","Age: 7 ex_fr_female$Type: Observed Year: 1997 Ex: 75.750000","Age: 7 ex_fr_female$Type: Observed Year: 1998 Ex: 75.850000","Age: 7 ex_fr_female$Type: Observed Year: 1999 Ex: 75.920000","Age: 7 ex_fr_female$Type: Observed Year: 2000 Ex: 76.210000","Age: 7 ex_fr_female$Type: Observed Year: 2001 Ex: 76.370000","Age: 7 ex_fr_female$Type: Observed Year: 2002 Ex: 76.430000","Age: 7 ex_fr_female$Type: Observed Year: 2003 Ex: 76.330000","Age: 7 ex_fr_female$Type: Observed Year: 2004 Ex: 77.230000","Age: 7 ex_fr_female$Type: Observed Year: 2005 Ex: 77.170000","Age: 7 ex_fr_female$Type: Observed Year: 2006 Ex: 77.520000","Age: 7 ex_fr_female$Type: Observed Year: 2007 Ex: 77.700000","Age: 7 ex_fr_female$Type: Observed Year: 2008 Ex: 77.680000","Age: 7 ex_fr_female$Type: Observed Year: 2009 Ex: 77.770000","Age: 7 ex_fr_female$Type: Observed Year: 2010 Ex: 77.990000","Age: 7 ex_fr_female$Type: Observed Year: 2011 Ex: 78.310000","Age: 7 ex_fr_female$Type: Observed Year: 2012 Ex: 78.170000","Age: 7 ex_fr_female$Type: Observed Year: 2013 Ex: 78.380000","Age: 7 ex_fr_female$Type: Observed Year: 2014 Ex: 78.760000","Age: 7 ex_fr_female$Type: Observed Year: 2015 Ex: 78.480000","Age: 7 ex_fr_female$Type: Observed Year: 2016 Ex: 78.660000","Age: 7 ex_fr_female$Type: Observed Year: 2017 Ex: 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7 ex_fr_female$Type: Predicted Year: 1816 Ex: 49.690493","Age: 7 ex_fr_female$Type: Predicted Year: 1817 Ex: 49.332784","Age: 7 ex_fr_female$Type: Predicted Year: 1818 Ex: 48.729861","Age: 7 ex_fr_female$Type: Predicted Year: 1819 Ex: 48.414494","Age: 7 ex_fr_female$Type: Predicted Year: 1820 Ex: 49.086001","Age: 7 ex_fr_female$Type: Predicted Year: 1821 Ex: 50.095031","Age: 7 ex_fr_female$Type: Predicted Year: 1822 Ex: 49.776951","Age: 7 ex_fr_female$Type: Predicted Year: 1823 Ex: 50.606412","Age: 7 ex_fr_female$Type: Predicted Year: 1824 Ex: 50.654307","Age: 7 ex_fr_female$Type: Predicted Year: 1825 Ex: 49.599482","Age: 7 ex_fr_female$Type: Predicted Year: 1826 Ex: 48.497186","Age: 7 ex_fr_female$Type: Predicted Year: 1827 Ex: 49.290885","Age: 7 ex_fr_female$Type: Predicted Year: 1828 Ex: 48.969346","Age: 7 ex_fr_female$Type: Predicted Year: 1829 Ex: 49.326187","Age: 7 ex_fr_female$Type: Predicted Year: 1830 Ex: 49.363442","Age: 7 ex_fr_female$Type: Predicted Year: 1831 Ex: 49.725610","Age: 7 ex_fr_female$Type: Predicted Year: 1832 Ex: 45.362376","Age: 7 ex_fr_female$Type: Predicted Year: 1833 Ex: 48.740522","Age: 7 ex_fr_female$Type: Predicted Year: 1834 Ex: 47.210165","Age: 7 ex_fr_female$Type: Predicted Year: 1835 Ex: 49.068137","Age: 7 ex_fr_female$Type: Predicted Year: 1836 Ex: 50.801695","Age: 7 ex_fr_female$Type: Predicted Year: 1837 Ex: 48.336708","Age: 7 ex_fr_female$Type: Predicted Year: 1838 Ex: 49.479608","Age: 7 ex_fr_female$Type: Predicted Year: 1839 Ex: 50.067848","Age: 7 ex_fr_female$Type: Predicted Year: 1840 Ex: 48.953734","Age: 7 ex_fr_female$Type: Predicted Year: 1841 Ex: 50.037959","Age: 7 ex_fr_female$Type: Predicted Year: 1842 Ex: 49.324614","Age: 7 ex_fr_female$Type: Predicted Year: 1843 Ex: 49.974989","Age: 7 ex_fr_female$Type: Predicted Year: 1844 Ex: 50.645219","Age: 7 ex_fr_female$Type: Predicted Year: 1845 Ex: 51.223273","Age: 7 ex_fr_female$Type: Predicted Year: 1846 Ex: 49.931047","Age: 7 ex_fr_female$Type: Predicted Year: 1847 Ex: 48.783229","Age: 7 ex_fr_female$Type: Predicted Year: 1848 Ex: 49.133484","Age: 7 ex_fr_female$Type: Predicted Year: 1849 Ex: 45.846287","Age: 7 ex_fr_female$Type: Predicted Year: 1850 Ex: 50.957895","Age: 7 ex_fr_female$Type: Predicted Year: 1851 Ex: 50.635435","Age: 7 ex_fr_female$Type: Predicted Year: 1852 Ex: 50.234101","Age: 7 ex_fr_female$Type: Predicted Year: 1853 Ex: 50.078039","Age: 7 ex_fr_female$Type: Predicted Year: 1854 Ex: 45.788255","Age: 7 ex_fr_female$Type: Predicted Year: 1855 Ex: 47.762850","Age: 7 ex_fr_female$Type: Predicted Year: 1856 Ex: 49.700772","Age: 7 ex_fr_female$Type: Predicted Year: 1857 Ex: 49.290173","Age: 7 ex_fr_female$Type: Predicted Year: 1858 Ex: 48.878775","Age: 7 ex_fr_female$Type: Predicted Year: 1859 Ex: 48.182523","Age: 7 ex_fr_female$Type: Predicted Year: 1860 Ex: 51.244849","Age: 7 ex_fr_female$Type: Predicted Year: 1861 Ex: 50.867685","Age: 7 ex_fr_female$Type: Predicted Year: 1862 Ex: 51.441240","Age: 7 ex_fr_female$Type: Predicted Year: 1863 Ex: 51.414739","Age: 7 ex_fr_female$Type: Predicted Year: 1864 Ex: 51.012688","Age: 7 ex_fr_female$Type: Predicted Year: 1865 Ex: 50.052970","Age: 7 ex_fr_female$Type: Predicted Year: 1866 Ex: 50.122486","Age: 7 ex_fr_female$Type: Predicted Year: 1867 Ex: 51.574054","Age: 7 ex_fr_female$Type: Predicted Year: 1868 Ex: 50.789550","Age: 7 ex_fr_female$Type: Predicted Year: 1869 Ex: 50.818857","Age: 7 ex_fr_female$Type: Predicted Year: 1870 Ex: 47.508705","Age: 7 ex_fr_female$Type: Predicted Year: 1871 Ex: 42.465870","Age: 7 ex_fr_female$Type: Predicted Year: 1872 Ex: 51.631521","Age: 7 ex_fr_female$Type: Predicted Year: 1873 Ex: 51.093857","Age: 7 ex_fr_female$Type: Predicted Year: 1874 Ex: 52.423312","Age: 7 ex_fr_female$Type: Predicted Year: 1875 Ex: 51.427487","Age: 7 ex_fr_female$Type: Predicted Year: 1876 Ex: 51.852952","Age: 7 ex_fr_female$Type: Predicted Year: 1877 Ex: 52.422069","Age: 7 ex_fr_female$Type: Predicted Year: 1878 Ex: 52.076205","Age: 7 ex_fr_female$Type: Predicted Year: 1879 Ex: 51.851376","Age: 7 ex_fr_female$Type: Predicted Year: 1880 Ex: 51.847499","Age: 7 ex_fr_female$Type: Predicted Year: 1881 Ex: 52.111821","Age: 7 ex_fr_female$Type: Predicted Year: 1882 Ex: 51.879704","Age: 7 ex_fr_female$Type: Predicted Year: 1883 Ex: 51.983557","Age: 7 ex_fr_female$Type: Predicted Year: 1884 Ex: 51.988672","Age: 7 ex_fr_female$Type: Predicted Year: 1885 Ex: 52.488998","Age: 7 ex_fr_female$Type: Predicted Year: 1886 Ex: 52.183115","Age: 7 ex_fr_female$Type: Predicted Year: 1887 Ex: 52.256264","Age: 7 ex_fr_female$Type: Predicted Year: 1888 Ex: 52.916238","Age: 7 ex_fr_female$Type: Predicted Year: 1889 Ex: 53.684510","Age: 7 ex_fr_female$Type: Predicted Year: 1890 Ex: 52.473546","Age: 7 ex_fr_female$Type: Predicted Year: 1891 Ex: 52.256733","Age: 7 ex_fr_female$Type: Predicted Year: 1892 Ex: 52.677020","Age: 7 ex_fr_female$Type: Predicted Year: 1893 Ex: 52.716657","Age: 7 ex_fr_female$Type: Predicted Year: 1894 Ex: 53.643440","Age: 7 ex_fr_female$Type: Predicted Year: 1895 Ex: 53.340753","Age: 7 ex_fr_female$Type: Predicted Year: 1896 Ex: 54.443979","Age: 7 ex_fr_female$Type: Predicted Year: 1897 Ex: 55.086601","Age: 7 ex_fr_female$Type: Predicted Year: 1898 Ex: 54.247593","Age: 7 ex_fr_female$Type: Predicted Year: 1899 Ex: 53.840384","Age: 7 ex_fr_female$Type: Predicted Year: 1900 Ex: 52.977651","Age: 7 ex_fr_female$Type: Predicted Year: 1901 Ex: 54.179884","Age: 7 ex_fr_female$Type: Predicted Year: 1902 Ex: 54.617533","Age: 7 ex_fr_female$Type: Predicted Year: 1903 Ex: 54.837868","Age: 7 ex_fr_female$Type: Predicted Year: 1904 Ex: 54.891865","Age: 7 ex_fr_female$Type: Predicted Year: 1905 Ex: 54.569735","Age: 7 ex_fr_female$Type: Predicted Year: 1906 Ex: 54.611550","Age: 7 ex_fr_female$Type: Predicted Year: 1907 Ex: 54.208056","Age: 7 ex_fr_female$Type: Predicted Year: 1908 Ex: 55.316380","Age: 7 ex_fr_female$Type: Predicted Year: 1909 Ex: 55.139487","Age: 7 ex_fr_female$Type: Predicted Year: 1910 Ex: 56.228530","Age: 7 ex_fr_female$Type: Predicted Year: 1911 Ex: 55.508054","Age: 7 ex_fr_female$Type: Predicted Year: 1912 Ex: 56.476848","Age: 7 ex_fr_female$Type: Predicted Year: 1913 Ex: 56.567153","Age: 7 ex_fr_female$Type: Predicted Year: 1914 Ex: 55.844044","Age: 7 ex_fr_female$Type: Predicted Year: 1915 Ex: 55.589304","Age: 7 ex_fr_female$Type: Predicted Year: 1916 Ex: 56.281994","Age: 7 ex_fr_female$Type: Predicted Year: 1917 Ex: 56.199839","Age: 7 ex_fr_female$Type: Predicted Year: 1918 Ex: 48.214357","Age: 7 ex_fr_female$Type: Predicted Year: 1919 Ex: 54.479909","Age: 7 ex_fr_female$Type: Predicted Year: 1920 Ex: 56.931081","Age: 7 ex_fr_female$Type: Predicted Year: 1921 Ex: 57.372611","Age: 7 ex_fr_female$Type: Predicted Year: 1922 Ex: 57.207610","Age: 7 ex_fr_female$Type: Predicted Year: 1923 Ex: 58.087530","Age: 7 ex_fr_female$Type: Predicted Year: 1924 Ex: 57.775019","Age: 7 ex_fr_female$Type: Predicted Year: 1925 Ex: 57.584853","Age: 7 ex_fr_female$Type: Predicted Year: 1926 Ex: 57.534630","Age: 7 ex_fr_female$Type: Predicted Year: 1927 Ex: 58.266911","Age: 7 ex_fr_female$Type: Predicted Year: 1928 Ex: 58.563054","Age: 7 ex_fr_female$Type: Predicted Year: 1929 Ex: 57.624755","Age: 7 ex_fr_female$Type: Predicted Year: 1930 Ex: 59.358686","Age: 7 ex_fr_female$Type: Predicted Year: 1931 Ex: 58.905092","Age: 7 ex_fr_female$Type: Predicted Year: 1932 Ex: 59.510685","Age: 7 ex_fr_female$Type: Predicted Year: 1933 Ex: 59.660332","Age: 7 ex_fr_female$Type: Predicted Year: 1934 Ex: 60.509884","Age: 7 ex_fr_female$Type: Predicted Year: 1935 Ex: 60.049938","Age: 7 ex_fr_female$Type: Predicted Year: 1936 Ex: 60.697582","Age: 7 ex_fr_female$Type: Predicted Year: 1937 Ex: 60.998223","Age: 7 ex_fr_female$Type: Predicted Year: 1938 Ex: 60.843905","Age: 7 ex_fr_female$Type: Predicted Year: 1939 Ex: 61.180891","Age: 7 ex_fr_female$Type: Predicted Year: 1940 Ex: 59.148675","Age: 7 ex_fr_female$Type: Predicted Year: 1941 Ex: 60.611259","Age: 7 ex_fr_female$Type: Predicted Year: 1942 Ex: 60.690611","Age: 7 ex_fr_female$Type: Predicted Year: 1943 Ex: 57.418344","Age: 7 ex_fr_female$Type: Predicted Year: 1944 Ex: 52.694171","Age: 7 ex_fr_female$Type: Predicted Year: 1945 Ex: 60.283063","Age: 7 ex_fr_female$Type: Predicted Year: 1946 Ex: 64.504614","Age: 7 ex_fr_female$Type: Predicted Year: 1947 Ex: 65.315061","Age: 7 ex_fr_female$Type: Predicted Year: 1948 Ex: 66.240649","Age: 7 ex_fr_female$Type: Predicted Year: 1949 Ex: 65.334204","Age: 7 ex_fr_female$Type: Predicted Year: 1950 Ex: 66.344615","Age: 7 ex_fr_female$Type: Predicted Year: 1951 Ex: 65.958455","Age: 7 ex_fr_female$Type: Predicted Year: 1952 Ex: 67.061881","Age: 7 ex_fr_female$Type: Predicted Year: 1953 Ex: 66.635454","Age: 7 ex_fr_female$Type: Predicted Year: 1954 Ex: 67.625965","Age: 7 ex_fr_female$Type: Predicted Year: 1955 Ex: 67.796265","Age: 7 ex_fr_female$Type: Predicted Year: 1956 Ex: 67.671353","Age: 7 ex_fr_female$Type: Predicted Year: 1957 Ex: 68.125330","Age: 7 ex_fr_female$Type: Predicted Year: 1958 Ex: 68.970621","Age: 7 ex_fr_female$Type: Predicted Year: 1959 Ex: 68.974220","Age: 7 ex_fr_female$Type: Predicted Year: 1960 Ex: 69.000535","Age: 7 ex_fr_female$Type: Predicted Year: 1961 Ex: 69.676742","Age: 7 ex_fr_female$Type: Predicted Year: 1962 Ex: 69.156513","Age: 7 ex_fr_female$Type: Predicted Year: 1963 Ex: 69.077620","Age: 7 ex_fr_female$Type: Predicted Year: 1964 Ex: 69.936285","Age: 7 ex_fr_female$Type: Predicted Year: 1965 Ex: 69.698717","Age: 7 ex_fr_female$Type: Predicted Year: 1966 Ex: 70.131558","Age: 7 ex_fr_female$Type: Predicted Year: 1967 Ex: 70.086413","Age: 7 ex_fr_female$Type: Predicted Year: 1968 Ex: 70.115096","Age: 7 ex_fr_female$Type: Predicted Year: 1969 Ex: 69.883157","Age: 7 ex_fr_female$Type: Predicted Year: 1970 Ex: 70.547103","Age: 7 ex_fr_female$Type: Predicted Year: 1971 Ex: 70.550424","Age: 7 ex_fr_female$Type: Predicted Year: 1972 Ex: 70.771112","Age: 7 ex_fr_female$Type: Predicted Year: 1973 Ex: 70.852819","Age: 7 ex_fr_female$Type: Predicted Year: 1974 Ex: 71.199628","Age: 7 ex_fr_female$Type: Predicted Year: 1975 Ex: 71.257968","Age: 7 ex_fr_female$Type: Predicted Year: 1976 Ex: 71.517279","Age: 7 ex_fr_female$Type: Predicted Year: 1977 Ex: 72.092888","Age: 7 ex_fr_female$Type: Predicted Year: 1978 Ex: 72.145411","Age: 7 ex_fr_female$Type: Predicted Year: 1979 Ex: 72.432121","Age: 7 ex_fr_female$Type: Predicted Year: 1980 Ex: 72.552790","Age: 7 ex_fr_female$Type: Predicted Year: 1981 Ex: 72.603150","Age: 7 ex_fr_female$Type: Predicted Year: 1982 Ex: 72.972705","Age: 7 ex_fr_female$Type: Predicted Year: 1983 Ex: 72.873893","Age: 7 ex_fr_female$Type: Predicted Year: 1984 Ex: 73.365035","Age: 7 ex_fr_female$Type: Predicted Year: 1985 Ex: 73.435968","Age: 7 ex_fr_female$Type: Predicted Year: 1986 Ex: 73.687446","Age: 7 ex_fr_female$Type: Predicted Year: 1987 Ex: 74.226096","Age: 7 ex_fr_female$Type: Predicted Year: 1988 Ex: 74.428406","Age: 7 ex_fr_female$Type: Predicted Year: 1989 Ex: 74.580793","Age: 7 ex_fr_female$Type: Predicted Year: 1990 Ex: 74.851821","Age: 7 ex_fr_female$Type: Predicted Year: 1991 Ex: 75.065979","Age: 7 ex_fr_female$Type: Predicted Year: 1992 Ex: 75.291610","Age: 7 ex_fr_female$Type: Predicted Year: 1993 Ex: 75.261042","Age: 7 ex_fr_female$Type: Predicted Year: 1994 Ex: 75.662438","Age: 7 ex_fr_female$Type: Predicted Year: 1995 Ex: 75.624023","Age: 7 ex_fr_female$Type: Predicted Year: 1996 Ex: 75.740283","Age: 7 ex_fr_female$Type: Predicted Year: 1997 Ex: 75.996768","Age: 7 ex_fr_female$Type: Predicted Year: 1998 Ex: 76.096557","Age: 7 ex_fr_female$Type: Predicted Year: 1999 Ex: 76.174419","Age: 7 ex_fr_female$Type: Predicted Year: 2000 Ex: 76.462600","Age: 7 ex_fr_female$Type: Predicted Year: 2001 Ex: 76.618594","Age: 7 ex_fr_female$Type: Predicted Year: 2002 Ex: 76.679406","Age: 7 ex_fr_female$Type: Predicted Year: 2003 Ex: 76.581337","Age: 7 ex_fr_female$Type: Predicted Year: 2004 Ex: 77.480736","Age: 7 ex_fr_female$Type: Predicted Year: 2005 Ex: 77.415344","Age: 7 ex_fr_female$Type: Predicted Year: 2006 Ex: 77.776307","Age: 7 ex_fr_female$Type: Predicted Year: 2007 Ex: 77.957315","Age: 7 ex_fr_female$Type: Predicted Year: 2008 Ex: 77.930542","Age: 7 ex_fr_female$Type: Predicted Year: 2009 Ex: 78.020412","Age: 7 ex_fr_female$Type: Predicted Year: 2010 Ex: 78.241325","Age: 7 ex_fr_female$Type: Predicted Year: 2011 Ex: 78.563571","Age: 7 ex_fr_female$Type: Predicted Year: 2012 Ex: 78.417709","Age: 7 ex_fr_female$Type: Predicted Year: 2013 Ex: 78.636797","Age: 7 ex_fr_female$Type: Predicted Year: 2014 Ex: 79.009608","Age: 7 ex_fr_female$Type: Predicted Year: 2015 Ex: 78.727923","Age: 7 ex_fr_female$Type: Predicted Year: 2016 Ex: 78.909936","Age: 7 ex_fr_female$Type: Predicted Year: 2017 Ex: 78.882264"],"frame":"7","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"8","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[48.95,48.61,48.05,47.82,48.43,49.45,49.11,49.95,49.97,48.95,47.88,48.6,48.31,48.62,48.64,49.03,44.77,48.1,46.6,48.37,50.01,47.54,48.73,49.31,48.24,49.32,48.59,49.22,49.86,50.41,49.12,47.99,48.37,45.15,50.16,49.87,49.46,49.23,44.97,46.99,48.92,48.52,48.13,47.49,50.41,50.01,50.58,50.51,50.1,49.15,49.23,50.65,49.88,49.95,46.68,41.77,50.77,50.19,51.47,50.48,50.91,51.48,51.14,50.94,50.94,51.22,51,51.07,51.08,51.53,51.21,51.31,51.96,52.7,51.51,51.29,51.7,51.73,52.66,52.31,53.42,54.08,53.25,52.85,51.99,53.19,53.61,53.82,53.86,53.54,53.58,53.16,54.26,54.08,55.17,54.45,55.41,55.5,54.78,54.56,55.23,55.15,47.23,53.44,55.87,56.28,56.1,56.98,56.66,56.48,56.44,57.18,57.46,56.51,58.25,57.78,58.38,58.53,59.38,58.92,59.55,59.85,59.7,60.02,58.02,59.47,59.54,56.31,51.6,59.15,63.33,64.12,65.04,64.13,65.13,64.74,65.84,65.41,66.4,66.57,66.44,66.9,67.74,67.75,67.77,68.45,67.93,67.85,68.7,68.47,68.9,68.85,68.89,68.65,69.32,69.32,69.54,69.62,69.97,70.03,70.28,70.86,70.91,71.19,71.32,71.37,71.74,71.64,72.13,72.2,72.45,72.99,73.19,73.34,73.61,73.82,74.05,74.02,74.42,74.38,74.5,74.75,74.85,74.93,75.22,75.37,75.44,75.34,76.24,76.17,76.53,76.71,76.68,76.77,77,77.32,77.17,77.39,77.77,77.48,77.66,77.64],"text":["Age: 8 ex_fr_female$Type: Observed Year: 1816 Ex: 48.950000","Age: 8 ex_fr_female$Type: Observed Year: 1817 Ex: 48.610000","Age: 8 ex_fr_female$Type: Observed Year: 1818 Ex: 48.050000","Age: 8 ex_fr_female$Type: Observed Year: 1819 Ex: 47.820000","Age: 8 ex_fr_female$Type: Observed Year: 1820 Ex: 48.430000","Age: 8 ex_fr_female$Type: Observed Year: 1821 Ex: 49.450000","Age: 8 ex_fr_female$Type: Observed Year: 1822 Ex: 49.110000","Age: 8 ex_fr_female$Type: Observed Year: 1823 Ex: 49.950000","Age: 8 ex_fr_female$Type: Observed Year: 1824 Ex: 49.970000","Age: 8 ex_fr_female$Type: Observed Year: 1825 Ex: 48.950000","Age: 8 ex_fr_female$Type: Observed Year: 1826 Ex: 47.880000","Age: 8 ex_fr_female$Type: Observed Year: 1827 Ex: 48.600000","Age: 8 ex_fr_female$Type: Observed Year: 1828 Ex: 48.310000","Age: 8 ex_fr_female$Type: Observed Year: 1829 Ex: 48.620000","Age: 8 ex_fr_female$Type: Observed Year: 1830 Ex: 48.640000","Age: 8 ex_fr_female$Type: Observed Year: 1831 Ex: 49.030000","Age: 8 ex_fr_female$Type: Observed Year: 1832 Ex: 44.770000","Age: 8 ex_fr_female$Type: Observed Year: 1833 Ex: 48.100000","Age: 8 ex_fr_female$Type: Observed Year: 1834 Ex: 46.600000","Age: 8 ex_fr_female$Type: Observed Year: 1835 Ex: 48.370000","Age: 8 ex_fr_female$Type: Observed Year: 1836 Ex: 50.010000","Age: 8 ex_fr_female$Type: Observed Year: 1837 Ex: 47.540000","Age: 8 ex_fr_female$Type: Observed Year: 1838 Ex: 48.730000","Age: 8 ex_fr_female$Type: Observed Year: 1839 Ex: 49.310000","Age: 8 ex_fr_female$Type: Observed Year: 1840 Ex: 48.240000","Age: 8 ex_fr_female$Type: Observed Year: 1841 Ex: 49.320000","Age: 8 ex_fr_female$Type: Observed Year: 1842 Ex: 48.590000","Age: 8 ex_fr_female$Type: Observed Year: 1843 Ex: 49.220000","Age: 8 ex_fr_female$Type: Observed Year: 1844 Ex: 49.860000","Age: 8 ex_fr_female$Type: Observed Year: 1845 Ex: 50.410000","Age: 8 ex_fr_female$Type: Observed Year: 1846 Ex: 49.120000","Age: 8 ex_fr_female$Type: Observed Year: 1847 Ex: 47.990000","Age: 8 ex_fr_female$Type: Observed Year: 1848 Ex: 48.370000","Age: 8 ex_fr_female$Type: Observed Year: 1849 Ex: 45.150000","Age: 8 ex_fr_female$Type: Observed Year: 1850 Ex: 50.160000","Age: 8 ex_fr_female$Type: Observed Year: 1851 Ex: 49.870000","Age: 8 ex_fr_female$Type: Observed Year: 1852 Ex: 49.460000","Age: 8 ex_fr_female$Type: Observed Year: 1853 Ex: 49.230000","Age: 8 ex_fr_female$Type: Observed Year: 1854 Ex: 44.970000","Age: 8 ex_fr_female$Type: Observed Year: 1855 Ex: 46.990000","Age: 8 ex_fr_female$Type: Observed Year: 1856 Ex: 48.920000","Age: 8 ex_fr_female$Type: Observed Year: 1857 Ex: 48.520000","Age: 8 ex_fr_female$Type: Observed Year: 1858 Ex: 48.130000","Age: 8 ex_fr_female$Type: Observed Year: 1859 Ex: 47.490000","Age: 8 ex_fr_female$Type: Observed Year: 1860 Ex: 50.410000","Age: 8 ex_fr_female$Type: Observed Year: 1861 Ex: 50.010000","Age: 8 ex_fr_female$Type: Observed Year: 1862 Ex: 50.580000","Age: 8 ex_fr_female$Type: Observed Year: 1863 Ex: 50.510000","Age: 8 ex_fr_female$Type: Observed Year: 1864 Ex: 50.100000","Age: 8 ex_fr_female$Type: Observed Year: 1865 Ex: 49.150000","Age: 8 ex_fr_female$Type: Observed Year: 1866 Ex: 49.230000","Age: 8 ex_fr_female$Type: Observed Year: 1867 Ex: 50.650000","Age: 8 ex_fr_female$Type: Observed Year: 1868 Ex: 49.880000","Age: 8 ex_fr_female$Type: Observed Year: 1869 Ex: 49.950000","Age: 8 ex_fr_female$Type: Observed Year: 1870 Ex: 46.680000","Age: 8 ex_fr_female$Type: Observed Year: 1871 Ex: 41.770000","Age: 8 ex_fr_female$Type: Observed Year: 1872 Ex: 50.770000","Age: 8 ex_fr_female$Type: Observed Year: 1873 Ex: 50.190000","Age: 8 ex_fr_female$Type: Observed Year: 1874 Ex: 51.470000","Age: 8 ex_fr_female$Type: Observed Year: 1875 Ex: 50.480000","Age: 8 ex_fr_female$Type: Observed Year: 1876 Ex: 50.910000","Age: 8 ex_fr_female$Type: Observed Year: 1877 Ex: 51.480000","Age: 8 ex_fr_female$Type: Observed Year: 1878 Ex: 51.140000","Age: 8 ex_fr_female$Type: Observed Year: 1879 Ex: 50.940000","Age: 8 ex_fr_female$Type: Observed Year: 1880 Ex: 50.940000","Age: 8 ex_fr_female$Type: Observed Year: 1881 Ex: 51.220000","Age: 8 ex_fr_female$Type: Observed Year: 1882 Ex: 51.000000","Age: 8 ex_fr_female$Type: Observed Year: 1883 Ex: 51.070000","Age: 8 ex_fr_female$Type: Observed Year: 1884 Ex: 51.080000","Age: 8 ex_fr_female$Type: Observed Year: 1885 Ex: 51.530000","Age: 8 ex_fr_female$Type: Observed Year: 1886 Ex: 51.210000","Age: 8 ex_fr_female$Type: Observed Year: 1887 Ex: 51.310000","Age: 8 ex_fr_female$Type: Observed Year: 1888 Ex: 51.960000","Age: 8 ex_fr_female$Type: Observed Year: 1889 Ex: 52.700000","Age: 8 ex_fr_female$Type: Observed Year: 1890 Ex: 51.510000","Age: 8 ex_fr_female$Type: Observed Year: 1891 Ex: 51.290000","Age: 8 ex_fr_female$Type: Observed Year: 1892 Ex: 51.700000","Age: 8 ex_fr_female$Type: Observed Year: 1893 Ex: 51.730000","Age: 8 ex_fr_female$Type: Observed Year: 1894 Ex: 52.660000","Age: 8 ex_fr_female$Type: Observed Year: 1895 Ex: 52.310000","Age: 8 ex_fr_female$Type: Observed Year: 1896 Ex: 53.420000","Age: 8 ex_fr_female$Type: Observed Year: 1897 Ex: 54.080000","Age: 8 ex_fr_female$Type: Observed Year: 1898 Ex: 53.250000","Age: 8 ex_fr_female$Type: Observed Year: 1899 Ex: 52.850000","Age: 8 ex_fr_female$Type: Observed Year: 1900 Ex: 51.990000","Age: 8 ex_fr_female$Type: Observed Year: 1901 Ex: 53.190000","Age: 8 ex_fr_female$Type: Observed Year: 1902 Ex: 53.610000","Age: 8 ex_fr_female$Type: Observed Year: 1903 Ex: 53.820000","Age: 8 ex_fr_female$Type: Observed Year: 1904 Ex: 53.860000","Age: 8 ex_fr_female$Type: Observed Year: 1905 Ex: 53.540000","Age: 8 ex_fr_female$Type: Observed Year: 1906 Ex: 53.580000","Age: 8 ex_fr_female$Type: Observed Year: 1907 Ex: 53.160000","Age: 8 ex_fr_female$Type: Observed Year: 1908 Ex: 54.260000","Age: 8 ex_fr_female$Type: Observed Year: 1909 Ex: 54.080000","Age: 8 ex_fr_female$Type: Observed Year: 1910 Ex: 55.170000","Age: 8 ex_fr_female$Type: Observed Year: 1911 Ex: 54.450000","Age: 8 ex_fr_female$Type: Observed Year: 1912 Ex: 55.410000","Age: 8 ex_fr_female$Type: Observed Year: 1913 Ex: 55.500000","Age: 8 ex_fr_female$Type: Observed Year: 1914 Ex: 54.780000","Age: 8 ex_fr_female$Type: Observed Year: 1915 Ex: 54.560000","Age: 8 ex_fr_female$Type: Observed Year: 1916 Ex: 55.230000","Age: 8 ex_fr_female$Type: Observed Year: 1917 Ex: 55.150000","Age: 8 ex_fr_female$Type: Observed Year: 1918 Ex: 47.230000","Age: 8 ex_fr_female$Type: Observed Year: 1919 Ex: 53.440000","Age: 8 ex_fr_female$Type: Observed Year: 1920 Ex: 55.870000","Age: 8 ex_fr_female$Type: Observed Year: 1921 Ex: 56.280000","Age: 8 ex_fr_female$Type: Observed Year: 1922 Ex: 56.100000","Age: 8 ex_fr_female$Type: Observed Year: 1923 Ex: 56.980000","Age: 8 ex_fr_female$Type: Observed Year: 1924 Ex: 56.660000","Age: 8 ex_fr_female$Type: Observed Year: 1925 Ex: 56.480000","Age: 8 ex_fr_female$Type: Observed Year: 1926 Ex: 56.440000","Age: 8 ex_fr_female$Type: Observed Year: 1927 Ex: 57.180000","Age: 8 ex_fr_female$Type: Observed Year: 1928 Ex: 57.460000","Age: 8 ex_fr_female$Type: Observed Year: 1929 Ex: 56.510000","Age: 8 ex_fr_female$Type: Observed Year: 1930 Ex: 58.250000","Age: 8 ex_fr_female$Type: Observed Year: 1931 Ex: 57.780000","Age: 8 ex_fr_female$Type: Observed Year: 1932 Ex: 58.380000","Age: 8 ex_fr_female$Type: Observed Year: 1933 Ex: 58.530000","Age: 8 ex_fr_female$Type: Observed Year: 1934 Ex: 59.380000","Age: 8 ex_fr_female$Type: Observed Year: 1935 Ex: 58.920000","Age: 8 ex_fr_female$Type: Observed Year: 1936 Ex: 59.550000","Age: 8 ex_fr_female$Type: Observed Year: 1937 Ex: 59.850000","Age: 8 ex_fr_female$Type: Observed Year: 1938 Ex: 59.700000","Age: 8 ex_fr_female$Type: Observed Year: 1939 Ex: 60.020000","Age: 8 ex_fr_female$Type: Observed Year: 1940 Ex: 58.020000","Age: 8 ex_fr_female$Type: Observed Year: 1941 Ex: 59.470000","Age: 8 ex_fr_female$Type: Observed Year: 1942 Ex: 59.540000","Age: 8 ex_fr_female$Type: Observed Year: 1943 Ex: 56.310000","Age: 8 ex_fr_female$Type: Observed Year: 1944 Ex: 51.600000","Age: 8 ex_fr_female$Type: Observed Year: 1945 Ex: 59.150000","Age: 8 ex_fr_female$Type: Observed Year: 1946 Ex: 63.330000","Age: 8 ex_fr_female$Type: Observed Year: 1947 Ex: 64.120000","Age: 8 ex_fr_female$Type: Observed Year: 1948 Ex: 65.040000","Age: 8 ex_fr_female$Type: Observed Year: 1949 Ex: 64.130000","Age: 8 ex_fr_female$Type: Observed Year: 1950 Ex: 65.130000","Age: 8 ex_fr_female$Type: Observed Year: 1951 Ex: 64.740000","Age: 8 ex_fr_female$Type: Observed Year: 1952 Ex: 65.840000","Age: 8 ex_fr_female$Type: Observed Year: 1953 Ex: 65.410000","Age: 8 ex_fr_female$Type: Observed Year: 1954 Ex: 66.400000","Age: 8 ex_fr_female$Type: Observed Year: 1955 Ex: 66.570000","Age: 8 ex_fr_female$Type: Observed Year: 1956 Ex: 66.440000","Age: 8 ex_fr_female$Type: Observed Year: 1957 Ex: 66.900000","Age: 8 ex_fr_female$Type: Observed Year: 1958 Ex: 67.740000","Age: 8 ex_fr_female$Type: Observed Year: 1959 Ex: 67.750000","Age: 8 ex_fr_female$Type: Observed Year: 1960 Ex: 67.770000","Age: 8 ex_fr_female$Type: Observed Year: 1961 Ex: 68.450000","Age: 8 ex_fr_female$Type: Observed Year: 1962 Ex: 67.930000","Age: 8 ex_fr_female$Type: Observed Year: 1963 Ex: 67.850000","Age: 8 ex_fr_female$Type: Observed Year: 1964 Ex: 68.700000","Age: 8 ex_fr_female$Type: Observed Year: 1965 Ex: 68.470000","Age: 8 ex_fr_female$Type: Observed Year: 1966 Ex: 68.900000","Age: 8 ex_fr_female$Type: Observed Year: 1967 Ex: 68.850000","Age: 8 ex_fr_female$Type: Observed Year: 1968 Ex: 68.890000","Age: 8 ex_fr_female$Type: Observed Year: 1969 Ex: 68.650000","Age: 8 ex_fr_female$Type: Observed Year: 1970 Ex: 69.320000","Age: 8 ex_fr_female$Type: Observed Year: 1971 Ex: 69.320000","Age: 8 ex_fr_female$Type: Observed Year: 1972 Ex: 69.540000","Age: 8 ex_fr_female$Type: Observed Year: 1973 Ex: 69.620000","Age: 8 ex_fr_female$Type: Observed Year: 1974 Ex: 69.970000","Age: 8 ex_fr_female$Type: Observed Year: 1975 Ex: 70.030000","Age: 8 ex_fr_female$Type: Observed Year: 1976 Ex: 70.280000","Age: 8 ex_fr_female$Type: Observed Year: 1977 Ex: 70.860000","Age: 8 ex_fr_female$Type: Observed Year: 1978 Ex: 70.910000","Age: 8 ex_fr_female$Type: Observed Year: 1979 Ex: 71.190000","Age: 8 ex_fr_female$Type: Observed Year: 1980 Ex: 71.320000","Age: 8 ex_fr_female$Type: Observed Year: 1981 Ex: 71.370000","Age: 8 ex_fr_female$Type: Observed Year: 1982 Ex: 71.740000","Age: 8 ex_fr_female$Type: Observed Year: 1983 Ex: 71.640000","Age: 8 ex_fr_female$Type: Observed Year: 1984 Ex: 72.130000","Age: 8 ex_fr_female$Type: Observed Year: 1985 Ex: 72.200000","Age: 8 ex_fr_female$Type: Observed Year: 1986 Ex: 72.450000","Age: 8 ex_fr_female$Type: Observed Year: 1987 Ex: 72.990000","Age: 8 ex_fr_female$Type: Observed Year: 1988 Ex: 73.190000","Age: 8 ex_fr_female$Type: Observed Year: 1989 Ex: 73.340000","Age: 8 ex_fr_female$Type: Observed Year: 1990 Ex: 73.610000","Age: 8 ex_fr_female$Type: Observed Year: 1991 Ex: 73.820000","Age: 8 ex_fr_female$Type: Observed Year: 1992 Ex: 74.050000","Age: 8 ex_fr_female$Type: Observed Year: 1993 Ex: 74.020000","Age: 8 ex_fr_female$Type: Observed Year: 1994 Ex: 74.420000","Age: 8 ex_fr_female$Type: Observed Year: 1995 Ex: 74.380000","Age: 8 ex_fr_female$Type: Observed Year: 1996 Ex: 74.500000","Age: 8 ex_fr_female$Type: Observed Year: 1997 Ex: 74.750000","Age: 8 ex_fr_female$Type: Observed Year: 1998 Ex: 74.850000","Age: 8 ex_fr_female$Type: Observed Year: 1999 Ex: 74.930000","Age: 8 ex_fr_female$Type: Observed Year: 2000 Ex: 75.220000","Age: 8 ex_fr_female$Type: Observed Year: 2001 Ex: 75.370000","Age: 8 ex_fr_female$Type: Observed Year: 2002 Ex: 75.440000","Age: 8 ex_fr_female$Type: Observed Year: 2003 Ex: 75.340000","Age: 8 ex_fr_female$Type: Observed Year: 2004 Ex: 76.240000","Age: 8 ex_fr_female$Type: Observed Year: 2005 Ex: 76.170000","Age: 8 ex_fr_female$Type: Observed Year: 2006 Ex: 76.530000","Age: 8 ex_fr_female$Type: Observed Year: 2007 Ex: 76.710000","Age: 8 ex_fr_female$Type: Observed Year: 2008 Ex: 76.680000","Age: 8 ex_fr_female$Type: Observed Year: 2009 Ex: 76.770000","Age: 8 ex_fr_female$Type: Observed Year: 2010 Ex: 77.000000","Age: 8 ex_fr_female$Type: Observed Year: 2011 Ex: 77.320000","Age: 8 ex_fr_female$Type: Observed Year: 2012 Ex: 77.170000","Age: 8 ex_fr_female$Type: Observed Year: 2013 Ex: 77.390000","Age: 8 ex_fr_female$Type: Observed Year: 2014 Ex: 77.770000","Age: 8 ex_fr_female$Type: Observed Year: 2015 Ex: 77.480000","Age: 8 ex_fr_female$Type: Observed Year: 2016 Ex: 77.660000","Age: 8 ex_fr_female$Type: Observed Year: 2017 Ex: 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8 ex_fr_female$Type: Predicted Year: 1816 Ex: 49.203754","Age: 8 ex_fr_female$Type: Predicted Year: 1817 Ex: 48.857612","Age: 8 ex_fr_female$Type: Predicted Year: 1818 Ex: 48.297471","Age: 8 ex_fr_female$Type: Predicted Year: 1819 Ex: 48.066222","Age: 8 ex_fr_female$Type: Predicted Year: 1820 Ex: 48.682880","Age: 8 ex_fr_female$Type: Predicted Year: 1821 Ex: 49.696273","Age: 8 ex_fr_female$Type: Predicted Year: 1822 Ex: 49.360872","Age: 8 ex_fr_female$Type: Predicted Year: 1823 Ex: 50.198642","Age: 8 ex_fr_female$Type: Predicted Year: 1824 Ex: 50.218692","Age: 8 ex_fr_female$Type: Predicted Year: 1825 Ex: 49.193723","Age: 8 ex_fr_female$Type: Predicted Year: 1826 Ex: 48.131554","Age: 8 ex_fr_female$Type: Predicted Year: 1827 Ex: 48.851277","Age: 8 ex_fr_female$Type: Predicted Year: 1828 Ex: 48.557433","Age: 8 ex_fr_female$Type: Predicted Year: 1829 Ex: 48.871676","Age: 8 ex_fr_female$Type: Predicted Year: 1830 Ex: 48.889093","Age: 8 ex_fr_female$Type: Predicted Year: 1831 Ex: 49.271082","Age: 8 ex_fr_female$Type: Predicted Year: 1832 Ex: 45.020363","Age: 8 ex_fr_female$Type: Predicted Year: 1833 Ex: 48.348298","Age: 8 ex_fr_female$Type: Predicted Year: 1834 Ex: 46.851193","Age: 8 ex_fr_female$Type: Predicted Year: 1835 Ex: 48.613199","Age: 8 ex_fr_female$Type: Predicted Year: 1836 Ex: 50.257980","Age: 8 ex_fr_female$Type: Predicted Year: 1837 Ex: 47.789945","Age: 8 ex_fr_female$Type: Predicted Year: 1838 Ex: 48.974834","Age: 8 ex_fr_female$Type: Predicted Year: 1839 Ex: 49.558508","Age: 8 ex_fr_female$Type: Predicted Year: 1840 Ex: 48.483795","Age: 8 ex_fr_female$Type: Predicted Year: 1841 Ex: 49.561854","Age: 8 ex_fr_female$Type: Predicted Year: 1842 Ex: 48.841951","Age: 8 ex_fr_female$Type: Predicted Year: 1843 Ex: 49.468727","Age: 8 ex_fr_female$Type: Predicted Year: 1844 Ex: 50.102108","Age: 8 ex_fr_female$Type: Predicted Year: 1845 Ex: 50.652168","Age: 8 ex_fr_female$Type: Predicted Year: 1846 Ex: 49.361480","Age: 8 ex_fr_female$Type: Predicted Year: 1847 Ex: 48.233386","Age: 8 ex_fr_female$Type: Predicted Year: 1848 Ex: 48.616368","Age: 8 ex_fr_female$Type: Predicted Year: 1849 Ex: 45.406121","Age: 8 ex_fr_female$Type: Predicted Year: 1850 Ex: 50.404904","Age: 8 ex_fr_female$Type: Predicted Year: 1851 Ex: 50.116525","Age: 8 ex_fr_female$Type: Predicted Year: 1852 Ex: 49.703809","Age: 8 ex_fr_female$Type: Predicted Year: 1853 Ex: 49.468760","Age: 8 ex_fr_female$Type: Predicted Year: 1854 Ex: 45.224204","Age: 8 ex_fr_female$Type: Predicted Year: 1855 Ex: 47.235467","Age: 8 ex_fr_female$Type: Predicted Year: 1856 Ex: 49.166437","Age: 8 ex_fr_female$Type: Predicted Year: 1857 Ex: 48.758354","Age: 8 ex_fr_female$Type: Predicted Year: 1858 Ex: 48.374279","Age: 8 ex_fr_female$Type: Predicted Year: 1859 Ex: 47.730184","Age: 8 ex_fr_female$Type: Predicted Year: 1860 Ex: 50.651926","Age: 8 ex_fr_female$Type: Predicted Year: 1861 Ex: 50.248895","Age: 8 ex_fr_female$Type: Predicted Year: 1862 Ex: 50.818579","Age: 8 ex_fr_female$Type: Predicted Year: 1863 Ex: 50.750352","Age: 8 ex_fr_female$Type: Predicted Year: 1864 Ex: 50.345142","Age: 8 ex_fr_female$Type: Predicted Year: 1865 Ex: 49.396069","Age: 8 ex_fr_female$Type: Predicted Year: 1866 Ex: 49.478059","Age: 8 ex_fr_female$Type: Predicted Year: 1867 Ex: 50.888101","Age: 8 ex_fr_female$Type: Predicted Year: 1868 Ex: 50.127117","Age: 8 ex_fr_female$Type: Predicted Year: 1869 Ex: 50.188037","Age: 8 ex_fr_female$Type: Predicted Year: 1870 Ex: 46.927055","Age: 8 ex_fr_female$Type: Predicted Year: 1871 Ex: 42.031155","Age: 8 ex_fr_female$Type: Predicted Year: 1872 Ex: 51.007694","Age: 8 ex_fr_female$Type: Predicted Year: 1873 Ex: 50.431428","Age: 8 ex_fr_female$Type: Predicted Year: 1874 Ex: 51.706545","Age: 8 ex_fr_female$Type: Predicted Year: 1875 Ex: 50.719627","Age: 8 ex_fr_female$Type: Predicted Year: 1876 Ex: 51.150632","Age: 8 ex_fr_female$Type: Predicted Year: 1877 Ex: 51.717304","Age: 8 ex_fr_female$Type: Predicted Year: 1878 Ex: 51.376217","Age: 8 ex_fr_female$Type: Predicted Year: 1879 Ex: 51.181080","Age: 8 ex_fr_female$Type: Predicted Year: 1880 Ex: 51.178729","Age: 8 ex_fr_female$Type: Predicted Year: 1881 Ex: 51.459302","Age: 8 ex_fr_female$Type: Predicted Year: 1882 Ex: 51.233900","Age: 8 ex_fr_female$Type: Predicted Year: 1883 Ex: 51.305820","Age: 8 ex_fr_female$Type: Predicted Year: 1884 Ex: 51.322885","Age: 8 ex_fr_female$Type: Predicted Year: 1885 Ex: 51.764227","Age: 8 ex_fr_female$Type: Predicted Year: 1886 Ex: 51.446334","Age: 8 ex_fr_female$Type: Predicted Year: 1887 Ex: 51.548475","Age: 8 ex_fr_female$Type: Predicted Year: 1888 Ex: 52.197944","Age: 8 ex_fr_female$Type: Predicted Year: 1889 Ex: 52.942013","Age: 8 ex_fr_female$Type: Predicted Year: 1890 Ex: 51.747648","Age: 8 ex_fr_female$Type: Predicted Year: 1891 Ex: 51.525529","Age: 8 ex_fr_female$Type: Predicted Year: 1892 Ex: 51.935937","Age: 8 ex_fr_female$Type: Predicted Year: 1893 Ex: 51.974722","Age: 8 ex_fr_female$Type: Predicted Year: 1894 Ex: 52.894870","Age: 8 ex_fr_female$Type: Predicted Year: 1895 Ex: 52.550418","Age: 8 ex_fr_female$Type: Predicted Year: 1896 Ex: 53.662353","Age: 8 ex_fr_female$Type: Predicted Year: 1897 Ex: 54.324022","Age: 8 ex_fr_female$Type: Predicted Year: 1898 Ex: 53.485684","Age: 8 ex_fr_female$Type: Predicted Year: 1899 Ex: 53.088994","Age: 8 ex_fr_female$Type: Predicted Year: 1900 Ex: 52.226986","Age: 8 ex_fr_female$Type: Predicted Year: 1901 Ex: 53.424684","Age: 8 ex_fr_female$Type: Predicted Year: 1902 Ex: 53.852370","Age: 8 ex_fr_female$Type: Predicted Year: 1903 Ex: 54.062748","Age: 8 ex_fr_female$Type: Predicted Year: 1904 Ex: 54.094034","Age: 8 ex_fr_female$Type: Predicted Year: 1905 Ex: 53.775591","Age: 8 ex_fr_female$Type: Predicted Year: 1906 Ex: 53.817022","Age: 8 ex_fr_female$Type: Predicted Year: 1907 Ex: 53.401754","Age: 8 ex_fr_female$Type: Predicted Year: 1908 Ex: 54.498673","Age: 8 ex_fr_female$Type: Predicted Year: 1909 Ex: 54.315162","Age: 8 ex_fr_female$Type: Predicted Year: 1910 Ex: 55.411620","Age: 8 ex_fr_female$Type: Predicted Year: 1911 Ex: 54.686569","Age: 8 ex_fr_female$Type: Predicted Year: 1912 Ex: 55.647277","Age: 8 ex_fr_female$Type: Predicted Year: 1913 Ex: 55.740669","Age: 8 ex_fr_female$Type: Predicted Year: 1914 Ex: 55.019208","Age: 8 ex_fr_female$Type: Predicted Year: 1915 Ex: 54.799042","Age: 8 ex_fr_female$Type: Predicted Year: 1916 Ex: 55.470856","Age: 8 ex_fr_female$Type: Predicted Year: 1917 Ex: 55.383952","Age: 8 ex_fr_female$Type: Predicted Year: 1918 Ex: 47.480388","Age: 8 ex_fr_female$Type: Predicted Year: 1919 Ex: 53.677296","Age: 8 ex_fr_female$Type: Predicted Year: 1920 Ex: 56.109119","Age: 8 ex_fr_female$Type: Predicted Year: 1921 Ex: 56.514400","Age: 8 ex_fr_female$Type: Predicted Year: 1922 Ex: 56.335345","Age: 8 ex_fr_female$Type: Predicted Year: 1923 Ex: 57.214362","Age: 8 ex_fr_female$Type: Predicted Year: 1924 Ex: 56.892553","Age: 8 ex_fr_female$Type: Predicted Year: 1925 Ex: 56.719733","Age: 8 ex_fr_female$Type: Predicted Year: 1926 Ex: 56.672249","Age: 8 ex_fr_female$Type: Predicted Year: 1927 Ex: 57.418459","Age: 8 ex_fr_female$Type: Predicted Year: 1928 Ex: 57.695589","Age: 8 ex_fr_female$Type: Predicted Year: 1929 Ex: 56.748851","Age: 8 ex_fr_female$Type: Predicted Year: 1930 Ex: 58.483599","Age: 8 ex_fr_female$Type: Predicted Year: 1931 Ex: 58.020849","Age: 8 ex_fr_female$Type: Predicted Year: 1932 Ex: 58.620547","Age: 8 ex_fr_female$Type: Predicted Year: 1933 Ex: 58.768694","Age: 8 ex_fr_female$Type: Predicted Year: 1934 Ex: 59.614993","Age: 8 ex_fr_female$Type: Predicted Year: 1935 Ex: 59.154242","Age: 8 ex_fr_female$Type: Predicted Year: 1936 Ex: 59.787946","Age: 8 ex_fr_female$Type: Predicted Year: 1937 Ex: 60.086009","Age: 8 ex_fr_female$Type: Predicted Year: 1938 Ex: 59.937511","Age: 8 ex_fr_female$Type: Predicted Year: 1939 Ex: 60.260435","Age: 8 ex_fr_female$Type: Predicted Year: 1940 Ex: 58.255513","Age: 8 ex_fr_female$Type: Predicted Year: 1941 Ex: 59.711729","Age: 8 ex_fr_female$Type: Predicted Year: 1942 Ex: 59.776142","Age: 8 ex_fr_female$Type: Predicted Year: 1943 Ex: 56.548837","Age: 8 ex_fr_female$Type: Predicted Year: 1944 Ex: 51.839996","Age: 8 ex_fr_female$Type: Predicted Year: 1945 Ex: 59.390170","Age: 8 ex_fr_female$Type: Predicted Year: 1946 Ex: 63.570573","Age: 8 ex_fr_female$Type: Predicted Year: 1947 Ex: 64.364987","Age: 8 ex_fr_female$Type: Predicted Year: 1948 Ex: 65.284052","Age: 8 ex_fr_female$Type: Predicted Year: 1949 Ex: 64.382199","Age: 8 ex_fr_female$Type: Predicted Year: 1950 Ex: 65.375569","Age: 8 ex_fr_female$Type: Predicted Year: 1951 Ex: 64.991192","Age: 8 ex_fr_female$Type: Predicted Year: 1952 Ex: 66.086513","Age: 8 ex_fr_female$Type: Predicted Year: 1953 Ex: 65.664560","Age: 8 ex_fr_female$Type: Predicted Year: 1954 Ex: 66.650806","Age: 8 ex_fr_female$Type: Predicted Year: 1955 Ex: 66.821843","Age: 8 ex_fr_female$Type: Predicted Year: 1956 Ex: 66.695539","Age: 8 ex_fr_female$Type: Predicted Year: 1957 Ex: 67.150356","Age: 8 ex_fr_female$Type: Predicted Year: 1958 Ex: 67.991850","Age: 8 ex_fr_female$Type: Predicted Year: 1959 Ex: 67.998875","Age: 8 ex_fr_female$Type: Predicted Year: 1960 Ex: 68.023829","Age: 8 ex_fr_female$Type: Predicted Year: 1961 Ex: 68.697498","Age: 8 ex_fr_female$Type: Predicted Year: 1962 Ex: 68.177800","Age: 8 ex_fr_female$Type: Predicted Year: 1963 Ex: 68.100941","Age: 8 ex_fr_female$Type: Predicted Year: 1964 Ex: 68.956425","Age: 8 ex_fr_female$Type: Predicted Year: 1965 Ex: 68.720864","Age: 8 ex_fr_female$Type: Predicted Year: 1966 Ex: 69.153843","Age: 8 ex_fr_female$Type: Predicted Year: 1967 Ex: 69.107292","Age: 8 ex_fr_female$Type: Predicted Year: 1968 Ex: 69.137376","Age: 8 ex_fr_female$Type: Predicted Year: 1969 Ex: 68.903975","Age: 8 ex_fr_female$Type: Predicted Year: 1970 Ex: 69.569522","Age: 8 ex_fr_female$Type: Predicted Year: 1971 Ex: 69.574946","Age: 8 ex_fr_female$Type: Predicted Year: 1972 Ex: 69.792899","Age: 8 ex_fr_female$Type: Predicted Year: 1973 Ex: 69.873224","Age: 8 ex_fr_female$Type: Predicted Year: 1974 Ex: 70.222256","Age: 8 ex_fr_female$Type: Predicted Year: 1975 Ex: 70.277783","Age: 8 ex_fr_female$Type: Predicted Year: 1976 Ex: 70.536457","Age: 8 ex_fr_female$Type: Predicted Year: 1977 Ex: 71.114369","Age: 8 ex_fr_female$Type: Predicted Year: 1978 Ex: 71.164757","Age: 8 ex_fr_female$Type: Predicted Year: 1979 Ex: 71.449387","Age: 8 ex_fr_female$Type: Predicted Year: 1980 Ex: 71.572247","Age: 8 ex_fr_female$Type: Predicted Year: 1981 Ex: 71.623342","Age: 8 ex_fr_female$Type: Predicted Year: 1982 Ex: 71.990825","Age: 8 ex_fr_female$Type: Predicted Year: 1983 Ex: 71.889817","Age: 8 ex_fr_female$Type: Predicted Year: 1984 Ex: 72.378881","Age: 8 ex_fr_female$Type: Predicted Year: 1985 Ex: 72.452745","Age: 8 ex_fr_female$Type: Predicted Year: 1986 Ex: 72.700620","Age: 8 ex_fr_female$Type: Predicted Year: 1987 Ex: 73.240843","Age: 8 ex_fr_female$Type: Predicted Year: 1988 Ex: 73.440235","Age: 8 ex_fr_female$Type: Predicted Year: 1989 Ex: 73.593388","Age: 8 ex_fr_female$Type: Predicted Year: 1990 Ex: 73.863718","Age: 8 ex_fr_female$Type: Predicted Year: 1991 Ex: 74.077165","Age: 8 ex_fr_female$Type: Predicted Year: 1992 Ex: 74.303578","Age: 8 ex_fr_female$Type: Predicted Year: 1993 Ex: 74.271510","Age: 8 ex_fr_female$Type: Predicted Year: 1994 Ex: 74.671458","Age: 8 ex_fr_female$Type: Predicted Year: 1995 Ex: 74.633039","Age: 8 ex_fr_female$Type: Predicted Year: 1996 Ex: 74.749312","Age: 8 ex_fr_female$Type: Predicted Year: 1997 Ex: 75.005828","Age: 8 ex_fr_female$Type: Predicted Year: 1998 Ex: 75.105629","Age: 8 ex_fr_female$Type: Predicted Year: 1999 Ex: 75.181987","Age: 8 ex_fr_female$Type: Predicted Year: 2000 Ex: 75.470196","Age: 8 ex_fr_female$Type: Predicted Year: 2001 Ex: 75.623161","Age: 8 ex_fr_female$Type: Predicted Year: 2002 Ex: 75.687786","Age: 8 ex_fr_female$Type: Predicted Year: 2003 Ex: 75.590467","Age: 8 ex_fr_female$Type: Predicted Year: 2004 Ex: 76.486895","Age: 8 ex_fr_female$Type: Predicted Year: 2005 Ex: 76.420728","Age: 8 ex_fr_female$Type: Predicted Year: 2006 Ex: 76.780944","Age: 8 ex_fr_female$Type: Predicted Year: 2007 Ex: 76.964287","Age: 8 ex_fr_female$Type: Predicted Year: 2008 Ex: 76.935962","Age: 8 ex_fr_female$Type: Predicted Year: 2009 Ex: 77.025064","Age: 8 ex_fr_female$Type: Predicted Year: 2010 Ex: 77.247545","Age: 8 ex_fr_female$Type: Predicted Year: 2011 Ex: 77.569035","Age: 8 ex_fr_female$Type: Predicted Year: 2012 Ex: 77.422384","Age: 8 ex_fr_female$Type: Predicted Year: 2013 Ex: 77.644611","Age: 8 ex_fr_female$Type: Predicted Year: 2014 Ex: 78.015104","Age: 8 ex_fr_female$Type: Predicted Year: 2015 Ex: 77.733399","Age: 8 ex_fr_female$Type: Predicted Year: 2016 Ex: 77.914640","Age: 8 ex_fr_female$Type: Predicted Year: 2017 Ex: 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ex_fr_female$Type: Observed Year: 1832 Ex: 44.330000","Age: 9 ex_fr_female$Type: Observed Year: 1833 Ex: 47.620000","Age: 9 ex_fr_female$Type: Observed Year: 1834 Ex: 46.140000","Age: 9 ex_fr_female$Type: Observed Year: 1835 Ex: 47.830000","Age: 9 ex_fr_female$Type: Observed Year: 1836 Ex: 49.390000","Age: 9 ex_fr_female$Type: Observed Year: 1837 Ex: 46.910000","Age: 9 ex_fr_female$Type: Observed Year: 1838 Ex: 48.130000","Age: 9 ex_fr_female$Type: Observed Year: 1839 Ex: 48.720000","Age: 9 ex_fr_female$Type: Observed Year: 1840 Ex: 47.690000","Age: 9 ex_fr_female$Type: Observed Year: 1841 Ex: 48.750000","Age: 9 ex_fr_female$Type: Observed Year: 1842 Ex: 48.030000","Age: 9 ex_fr_female$Type: Observed Year: 1843 Ex: 48.630000","Age: 9 ex_fr_female$Type: Observed Year: 1844 Ex: 49.240000","Age: 9 ex_fr_female$Type: Observed Year: 1845 Ex: 49.760000","Age: 9 ex_fr_female$Type: Observed Year: 1846 Ex: 48.460000","Age: 9 ex_fr_female$Type: Observed Year: 1847 Ex: 47.360000","Age: 9 ex_fr_female$Type: Observed Year: 1848 Ex: 47.780000","Age: 9 ex_fr_female$Type: Observed Year: 1849 Ex: 44.630000","Age: 9 ex_fr_female$Type: Observed Year: 1850 Ex: 49.540000","Age: 9 ex_fr_female$Type: Observed Year: 1851 Ex: 49.270000","Age: 9 ex_fr_female$Type: Observed Year: 1852 Ex: 48.850000","Age: 9 ex_fr_female$Type: Observed Year: 1853 Ex: 48.550000","Age: 9 ex_fr_female$Type: Observed Year: 1854 Ex: 44.330000","Age: 9 ex_fr_female$Type: Observed Year: 1855 Ex: 46.390000","Age: 9 ex_fr_female$Type: Observed Year: 1856 Ex: 48.310000","Age: 9 ex_fr_female$Type: Observed Year: 1857 Ex: 47.910000","Age: 9 ex_fr_female$Type: Observed Year: 1858 Ex: 47.550000","Age: 9 ex_fr_female$Type: Observed Year: 1859 Ex: 46.930000","Age: 9 ex_fr_female$Type: Observed Year: 1860 Ex: 49.740000","Age: 9 ex_fr_female$Type: Observed Year: 1861 Ex: 49.290000","Age: 9 ex_fr_female$Type: Observed Year: 1862 Ex: 49.870000","Age: 9 ex_fr_female$Type: Observed Year: 1863 Ex: 49.760000","Age: 9 ex_fr_female$Type: Observed Year: 1864 Ex: 49.360000","Age: 9 ex_fr_female$Type: Observed Year: 1865 Ex: 48.420000","Age: 9 ex_fr_female$Type: Observed Year: 1866 Ex: 48.520000","Age: 9 ex_fr_female$Type: Observed Year: 1867 Ex: 49.890000","Age: 9 ex_fr_female$Type: Observed Year: 1868 Ex: 49.140000","Age: 9 ex_fr_female$Type: Observed Year: 1869 Ex: 49.230000","Age: 9 ex_fr_female$Type: Observed Year: 1870 Ex: 46.020000","Age: 9 ex_fr_female$Type: Observed Year: 1871 Ex: 41.240000","Age: 9 ex_fr_female$Type: Observed Year: 1872 Ex: 50.070000","Age: 9 ex_fr_female$Type: Observed Year: 1873 Ex: 49.470000","Age: 9 ex_fr_female$Type: Observed Year: 1874 Ex: 50.700000","Age: 9 ex_fr_female$Type: Observed Year: 1875 Ex: 49.700000","Age: 9 ex_fr_female$Type: Observed Year: 1876 Ex: 50.140000","Age: 9 ex_fr_female$Type: Observed Year: 1877 Ex: 50.710000","Age: 9 ex_fr_female$Type: Observed Year: 1878 Ex: 50.360000","Age: 9 ex_fr_female$Type: Observed Year: 1879 Ex: 50.180000","Age: 9 ex_fr_female$Type: Observed Year: 1880 Ex: 50.220000","Age: 9 ex_fr_female$Type: Observed Year: 1881 Ex: 50.500000","Age: 9 ex_fr_female$Type: Observed Year: 1882 Ex: 50.290000","Age: 9 ex_fr_female$Type: Observed Year: 1883 Ex: 50.330000","Age: 9 ex_fr_female$Type: Observed Year: 1884 Ex: 50.350000","Age: 9 ex_fr_female$Type: Observed Year: 1885 Ex: 50.720000","Age: 9 ex_fr_female$Type: Observed Year: 1886 Ex: 50.380000","Age: 9 ex_fr_female$Type: Observed Year: 1887 Ex: 50.540000","Age: 9 ex_fr_female$Type: Observed Year: 1888 Ex: 51.170000","Age: 9 ex_fr_female$Type: Observed Year: 1889 Ex: 51.900000","Age: 9 ex_fr_female$Type: Observed Year: 1890 Ex: 50.710000","Age: 9 ex_fr_female$Type: Observed Year: 1891 Ex: 50.490000","Age: 9 ex_fr_female$Type: Observed Year: 1892 Ex: 50.900000","Age: 9 ex_fr_female$Type: Observed Year: 1893 Ex: 50.930000","Age: 9 ex_fr_female$Type: Observed Year: 1894 Ex: 51.840000","Age: 9 ex_fr_female$Type: Observed Year: 1895 Ex: 51.470000","Age: 9 ex_fr_female$Type: Observed Year: 1896 Ex: 52.590000","Age: 9 ex_fr_female$Type: Observed Year: 1897 Ex: 53.290000","Age: 9 ex_fr_female$Type: Observed Year: 1898 Ex: 52.440000","Age: 9 ex_fr_female$Type: Observed Year: 1899 Ex: 52.070000","Age: 9 ex_fr_female$Type: Observed Year: 1900 Ex: 51.210000","Age: 9 ex_fr_female$Type: Observed Year: 1901 Ex: 52.390000","Age: 9 ex_fr_female$Type: Observed Year: 1902 Ex: 52.810000","Age: 9 ex_fr_female$Type: Observed Year: 1903 Ex: 53.030000","Age: 9 ex_fr_female$Type: Observed Year: 1904 Ex: 53.050000","Age: 9 ex_fr_female$Type: Observed Year: 1905 Ex: 52.720000","Age: 9 ex_fr_female$Type: Observed Year: 1906 Ex: 52.760000","Age: 9 ex_fr_female$Type: Observed Year: 1907 Ex: 52.340000","Age: 9 ex_fr_female$Type: Observed Year: 1908 Ex: 53.420000","Age: 9 ex_fr_female$Type: Observed Year: 1909 Ex: 53.240000","Age: 9 ex_fr_female$Type: Observed Year: 1910 Ex: 54.320000","Age: 9 ex_fr_female$Type: Observed Year: 1911 Ex: 53.600000","Age: 9 ex_fr_female$Type: Observed Year: 1912 Ex: 54.560000","Age: 9 ex_fr_female$Type: Observed Year: 1913 Ex: 54.650000","Age: 9 ex_fr_female$Type: Observed Year: 1914 Ex: 53.930000","Age: 9 ex_fr_female$Type: Observed Year: 1915 Ex: 53.740000","Age: 9 ex_fr_female$Type: Observed Year: 1916 Ex: 54.400000","Age: 9 ex_fr_female$Type: Observed Year: 1917 Ex: 54.300000","Age: 9 ex_fr_female$Type: Observed Year: 1918 Ex: 46.480000","Age: 9 ex_fr_female$Type: Observed Year: 1919 Ex: 52.600000","Age: 9 ex_fr_female$Type: Observed Year: 1920 Ex: 55.030000","Age: 9 ex_fr_female$Type: Observed Year: 1921 Ex: 55.420000","Age: 9 ex_fr_female$Type: Observed Year: 1922 Ex: 55.210000","Age: 9 ex_fr_female$Type: Observed Year: 1923 Ex: 56.080000","Age: 9 ex_fr_female$Type: Observed Year: 1924 Ex: 55.770000","Age: 9 ex_fr_female$Type: Observed Year: 1925 Ex: 55.590000","Age: 9 ex_fr_female$Type: Observed Year: 1926 Ex: 55.550000","Age: 9 ex_fr_female$Type: Observed Year: 1927 Ex: 56.300000","Age: 9 ex_fr_female$Type: Observed Year: 1928 Ex: 56.570000","Age: 9 ex_fr_female$Type: Observed Year: 1929 Ex: 55.630000","Age: 9 ex_fr_female$Type: Observed Year: 1930 Ex: 57.350000","Age: 9 ex_fr_female$Type: Observed Year: 1931 Ex: 56.880000","Age: 9 ex_fr_female$Type: Observed Year: 1932 Ex: 57.480000","Age: 9 ex_fr_female$Type: Observed Year: 1933 Ex: 57.640000","Age: 9 ex_fr_female$Type: Observed Year: 1934 Ex: 58.470000","Age: 9 ex_fr_female$Type: Observed Year: 1935 Ex: 58.000000","Age: 9 ex_fr_female$Type: Observed Year: 1936 Ex: 58.630000","Age: 9 ex_fr_female$Type: Observed Year: 1937 Ex: 58.930000","Age: 9 ex_fr_female$Type: Observed Year: 1938 Ex: 58.780000","Age: 9 ex_fr_female$Type: Observed Year: 1939 Ex: 59.090000","Age: 9 ex_fr_female$Type: Observed Year: 1940 Ex: 57.110000","Age: 9 ex_fr_female$Type: Observed Year: 1941 Ex: 58.550000","Age: 9 ex_fr_female$Type: Observed Year: 1942 Ex: 58.620000","Age: 9 ex_fr_female$Type: Observed Year: 1943 Ex: 55.420000","Age: 9 ex_fr_female$Type: Observed Year: 1944 Ex: 50.740000","Age: 9 ex_fr_female$Type: Observed Year: 1945 Ex: 58.260000","Age: 9 ex_fr_female$Type: Observed Year: 1946 Ex: 62.390000","Age: 9 ex_fr_female$Type: Observed Year: 1947 Ex: 63.170000","Age: 9 ex_fr_female$Type: Observed Year: 1948 Ex: 64.080000","Age: 9 ex_fr_female$Type: Observed Year: 1949 Ex: 63.170000","Age: 9 ex_fr_female$Type: Observed Year: 1950 Ex: 64.160000","Age: 9 ex_fr_female$Type: Observed Year: 1951 Ex: 63.770000","Age: 9 ex_fr_female$Type: Observed Year: 1952 Ex: 64.860000","Age: 9 ex_fr_female$Type: Observed Year: 1953 Ex: 64.430000","Age: 9 ex_fr_female$Type: Observed Year: 1954 Ex: 65.420000","Age: 9 ex_fr_female$Type: Observed Year: 1955 Ex: 65.590000","Age: 9 ex_fr_female$Type: Observed Year: 1956 Ex: 65.470000","Age: 9 ex_fr_female$Type: Observed Year: 1957 Ex: 65.920000","Age: 9 ex_fr_female$Type: Observed Year: 1958 Ex: 66.760000","Age: 9 ex_fr_female$Type: Observed Year: 1959 Ex: 66.770000","Age: 9 ex_fr_female$Type: Observed Year: 1960 Ex: 66.790000","Age: 9 ex_fr_female$Type: Observed Year: 1961 Ex: 67.470000","Age: 9 ex_fr_female$Type: Observed Year: 1962 Ex: 66.940000","Age: 9 ex_fr_female$Type: Observed Year: 1963 Ex: 66.870000","Age: 9 ex_fr_female$Type: Observed Year: 1964 Ex: 67.720000","Age: 9 ex_fr_female$Type: Observed Year: 1965 Ex: 67.490000","Age: 9 ex_fr_female$Type: Observed Year: 1966 Ex: 67.920000","Age: 9 ex_fr_female$Type: Observed Year: 1967 Ex: 67.870000","Age: 9 ex_fr_female$Type: Observed Year: 1968 Ex: 67.900000","Age: 9 ex_fr_female$Type: Observed Year: 1969 Ex: 67.670000","Age: 9 ex_fr_female$Type: Observed Year: 1970 Ex: 68.340000","Age: 9 ex_fr_female$Type: Observed Year: 1971 Ex: 68.340000","Age: 9 ex_fr_female$Type: Observed Year: 1972 Ex: 68.560000","Age: 9 ex_fr_female$Type: Observed Year: 1973 Ex: 68.650000","Age: 9 ex_fr_female$Type: Observed Year: 1974 Ex: 68.990000","Age: 9 ex_fr_female$Type: Observed Year: 1975 Ex: 69.040000","Age: 9 ex_fr_female$Type: Observed Year: 1976 Ex: 69.300000","Age: 9 ex_fr_female$Type: Observed Year: 1977 Ex: 69.880000","Age: 9 ex_fr_female$Type: Observed Year: 1978 Ex: 69.930000","Age: 9 ex_fr_female$Type: Observed Year: 1979 Ex: 70.220000","Age: 9 ex_fr_female$Type: Observed Year: 1980 Ex: 70.330000","Age: 9 ex_fr_female$Type: Observed Year: 1981 Ex: 70.390000","Age: 9 ex_fr_female$Type: Observed Year: 1982 Ex: 70.750000","Age: 9 ex_fr_female$Type: Observed Year: 1983 Ex: 70.650000","Age: 9 ex_fr_female$Type: Observed Year: 1984 Ex: 71.140000","Age: 9 ex_fr_female$Type: Observed Year: 1985 Ex: 71.210000","Age: 9 ex_fr_female$Type: Observed Year: 1986 Ex: 71.460000","Age: 9 ex_fr_female$Type: Observed Year: 1987 Ex: 72.000000","Age: 9 ex_fr_female$Type: Observed Year: 1988 Ex: 72.200000","Age: 9 ex_fr_female$Type: Observed Year: 1989 Ex: 72.350000","Age: 9 ex_fr_female$Type: Observed Year: 1990 Ex: 72.620000","Age: 9 ex_fr_female$Type: Observed Year: 1991 Ex: 72.840000","Age: 9 ex_fr_female$Type: Observed Year: 1992 Ex: 73.060000","Age: 9 ex_fr_female$Type: Observed Year: 1993 Ex: 73.030000","Age: 9 ex_fr_female$Type: Observed Year: 1994 Ex: 73.430000","Age: 9 ex_fr_female$Type: Observed Year: 1995 Ex: 73.390000","Age: 9 ex_fr_female$Type: Observed Year: 1996 Ex: 73.510000","Age: 9 ex_fr_female$Type: Observed Year: 1997 Ex: 73.760000","Age: 9 ex_fr_female$Type: Observed Year: 1998 Ex: 73.860000","Age: 9 ex_fr_female$Type: Observed Year: 1999 Ex: 73.940000","Age: 9 ex_fr_female$Type: Observed Year: 2000 Ex: 74.230000","Age: 9 ex_fr_female$Type: Observed Year: 2001 Ex: 74.380000","Age: 9 ex_fr_female$Type: Observed Year: 2002 Ex: 74.440000","Age: 9 ex_fr_female$Type: Observed Year: 2003 Ex: 74.350000","Age: 9 ex_fr_female$Type: Observed Year: 2004 Ex: 75.240000","Age: 9 ex_fr_female$Type: Observed Year: 2005 Ex: 75.180000","Age: 9 ex_fr_female$Type: Observed Year: 2006 Ex: 75.530000","Age: 9 ex_fr_female$Type: Observed Year: 2007 Ex: 75.720000","Age: 9 ex_fr_female$Type: Observed Year: 2008 Ex: 75.690000","Age: 9 ex_fr_female$Type: Observed Year: 2009 Ex: 75.780000","Age: 9 ex_fr_female$Type: Observed Year: 2010 Ex: 76.000000","Age: 9 ex_fr_female$Type: Observed Year: 2011 Ex: 76.320000","Age: 9 ex_fr_female$Type: Observed Year: 2012 Ex: 76.180000","Age: 9 ex_fr_female$Type: Observed Year: 2013 Ex: 76.400000","Age: 9 ex_fr_female$Type: Observed Year: 2014 Ex: 76.770000","Age: 9 ex_fr_female$Type: Observed Year: 2015 Ex: 76.490000","Age: 9 ex_fr_female$Type: Observed Year: 2016 Ex: 76.670000","Age: 9 ex_fr_female$Type: Observed Year: 2017 Ex: 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9 ex_fr_female$Type: Predicted Year: 1816 Ex: 48.637681","Age: 9 ex_fr_female$Type: Predicted Year: 1817 Ex: 48.289430","Age: 9 ex_fr_female$Type: Predicted Year: 1818 Ex: 47.766745","Age: 9 ex_fr_female$Type: Predicted Year: 1819 Ex: 47.616397","Age: 9 ex_fr_female$Type: Predicted Year: 1820 Ex: 48.191957","Age: 9 ex_fr_female$Type: Predicted Year: 1821 Ex: 49.197666","Age: 9 ex_fr_female$Type: Predicted Year: 1822 Ex: 48.844041","Age: 9 ex_fr_female$Type: Predicted Year: 1823 Ex: 49.709171","Age: 9 ex_fr_female$Type: Predicted Year: 1824 Ex: 49.691266","Age: 9 ex_fr_female$Type: Predicted Year: 1825 Ex: 48.687534","Age: 9 ex_fr_female$Type: Predicted Year: 1826 Ex: 47.667550","Age: 9 ex_fr_female$Type: Predicted Year: 1827 Ex: 48.325500","Age: 9 ex_fr_female$Type: Predicted Year: 1828 Ex: 48.031685","Age: 9 ex_fr_female$Type: Predicted Year: 1829 Ex: 48.324611","Age: 9 ex_fr_female$Type: Predicted Year: 1830 Ex: 48.325587","Age: 9 ex_fr_female$Type: Predicted Year: 1831 Ex: 48.718896","Age: 9 ex_fr_female$Type: Predicted Year: 1832 Ex: 44.582621","Age: 9 ex_fr_female$Type: Predicted Year: 1833 Ex: 47.865447","Age: 9 ex_fr_female$Type: Predicted Year: 1834 Ex: 46.388252","Age: 9 ex_fr_female$Type: Predicted Year: 1835 Ex: 48.076828","Age: 9 ex_fr_female$Type: Predicted Year: 1836 Ex: 49.636580","Age: 9 ex_fr_female$Type: Predicted Year: 1837 Ex: 47.159297","Age: 9 ex_fr_female$Type: Predicted Year: 1838 Ex: 48.375430","Age: 9 ex_fr_female$Type: Predicted Year: 1839 Ex: 48.965412","Age: 9 ex_fr_female$Type: Predicted Year: 1840 Ex: 47.936972","Age: 9 ex_fr_female$Type: Predicted Year: 1841 Ex: 48.996002","Age: 9 ex_fr_female$Type: Predicted Year: 1842 Ex: 48.274606","Age: 9 ex_fr_female$Type: Predicted Year: 1843 Ex: 48.872911","Age: 9 ex_fr_female$Type: Predicted Year: 1844 Ex: 49.483521","Age: 9 ex_fr_female$Type: Predicted Year: 1845 Ex: 50.010527","Age: 9 ex_fr_female$Type: Predicted Year: 1846 Ex: 48.708156","Age: 9 ex_fr_female$Type: Predicted Year: 1847 Ex: 47.607645","Age: 9 ex_fr_female$Type: Predicted Year: 1848 Ex: 48.024191","Age: 9 ex_fr_female$Type: Predicted Year: 1849 Ex: 44.879670","Age: 9 ex_fr_female$Type: Predicted Year: 1850 Ex: 49.783617","Age: 9 ex_fr_female$Type: Predicted Year: 1851 Ex: 49.517552","Age: 9 ex_fr_female$Type: Predicted Year: 1852 Ex: 49.093069","Age: 9 ex_fr_female$Type: Predicted Year: 1853 Ex: 48.796967","Age: 9 ex_fr_female$Type: Predicted Year: 1854 Ex: 44.582533","Age: 9 ex_fr_female$Type: Predicted Year: 1855 Ex: 46.629229","Age: 9 ex_fr_female$Type: Predicted Year: 1856 Ex: 48.550954","Age: 9 ex_fr_female$Type: Predicted Year: 1857 Ex: 48.150837","Age: 9 ex_fr_female$Type: Predicted Year: 1858 Ex: 47.795986","Age: 9 ex_fr_female$Type: Predicted Year: 1859 Ex: 47.177675","Age: 9 ex_fr_female$Type: Predicted Year: 1860 Ex: 49.987559","Age: 9 ex_fr_female$Type: Predicted Year: 1861 Ex: 49.538778","Age: 9 ex_fr_female$Type: Predicted Year: 1862 Ex: 50.113806","Age: 9 ex_fr_female$Type: Predicted Year: 1863 Ex: 50.004758","Age: 9 ex_fr_female$Type: Predicted Year: 1864 Ex: 49.606014","Age: 9 ex_fr_female$Type: Predicted Year: 1865 Ex: 48.662789","Age: 9 ex_fr_female$Type: Predicted Year: 1866 Ex: 48.764436","Age: 9 ex_fr_female$Type: Predicted Year: 1867 Ex: 50.131558","Age: 9 ex_fr_female$Type: Predicted Year: 1868 Ex: 49.387347","Age: 9 ex_fr_female$Type: Predicted Year: 1869 Ex: 49.469570","Age: 9 ex_fr_female$Type: Predicted Year: 1870 Ex: 46.267214","Age: 9 ex_fr_female$Type: Predicted Year: 1871 Ex: 41.499763","Age: 9 ex_fr_female$Type: Predicted Year: 1872 Ex: 50.315209","Age: 9 ex_fr_female$Type: Predicted Year: 1873 Ex: 49.711829","Age: 9 ex_fr_female$Type: Predicted Year: 1874 Ex: 50.939037","Age: 9 ex_fr_female$Type: Predicted Year: 1875 Ex: 49.946125","Age: 9 ex_fr_female$Type: Predicted Year: 1876 Ex: 50.382636","Age: 9 ex_fr_female$Type: Predicted Year: 1877 Ex: 50.951389","Age: 9 ex_fr_female$Type: Predicted Year: 1878 Ex: 50.600055","Age: 9 ex_fr_female$Type: Predicted Year: 1879 Ex: 50.422897","Age: 9 ex_fr_female$Type: Predicted Year: 1880 Ex: 50.455682","Age: 9 ex_fr_female$Type: Predicted Year: 1881 Ex: 50.741376","Age: 9 ex_fr_female$Type: Predicted Year: 1882 Ex: 50.528502","Age: 9 ex_fr_female$Type: Predicted Year: 1883 Ex: 50.566614","Age: 9 ex_fr_female$Type: Predicted Year: 1884 Ex: 50.587853","Age: 9 ex_fr_female$Type: Predicted Year: 1885 Ex: 50.954256","Age: 9 ex_fr_female$Type: Predicted Year: 1886 Ex: 50.618824","Age: 9 ex_fr_female$Type: Predicted Year: 1887 Ex: 50.779737","Age: 9 ex_fr_female$Type: Predicted Year: 1888 Ex: 51.405150","Age: 9 ex_fr_female$Type: Predicted Year: 1889 Ex: 52.139040","Age: 9 ex_fr_female$Type: Predicted Year: 1890 Ex: 50.954079","Age: 9 ex_fr_female$Type: Predicted Year: 1891 Ex: 50.734651","Age: 9 ex_fr_female$Type: Predicted Year: 1892 Ex: 51.135897","Age: 9 ex_fr_female$Type: Predicted Year: 1893 Ex: 51.168114","Age: 9 ex_fr_female$Type: Predicted Year: 1894 Ex: 52.080677","Age: 9 ex_fr_female$Type: Predicted Year: 1895 Ex: 51.708370","Age: 9 ex_fr_female$Type: Predicted Year: 1896 Ex: 52.832746","Age: 9 ex_fr_female$Type: Predicted Year: 1897 Ex: 53.527322","Age: 9 ex_fr_female$Type: Predicted Year: 1898 Ex: 52.682626","Age: 9 ex_fr_female$Type: Predicted Year: 1899 Ex: 52.312445","Age: 9 ex_fr_female$Type: Predicted Year: 1900 Ex: 51.449372","Age: 9 ex_fr_female$Type: Predicted Year: 1901 Ex: 52.630963","Age: 9 ex_fr_female$Type: Predicted Year: 1902 Ex: 53.052818","Age: 9 ex_fr_female$Type: Predicted Year: 1903 Ex: 53.268287","Age: 9 ex_fr_female$Type: Predicted Year: 1904 Ex: 53.286244","Age: 9 ex_fr_female$Type: Predicted Year: 1905 Ex: 52.958640","Age: 9 ex_fr_female$Type: Predicted Year: 1906 Ex: 53.000749","Age: 9 ex_fr_female$Type: Predicted Year: 1907 Ex: 52.577149","Age: 9 ex_fr_female$Type: Predicted Year: 1908 Ex: 53.654955","Age: 9 ex_fr_female$Type: Predicted Year: 1909 Ex: 53.479009","Age: 9 ex_fr_female$Type: Predicted Year: 1910 Ex: 54.562284","Age: 9 ex_fr_female$Type: Predicted Year: 1911 Ex: 53.839047","Age: 9 ex_fr_female$Type: Predicted Year: 1912 Ex: 54.800799","Age: 9 ex_fr_female$Type: Predicted Year: 1913 Ex: 54.888912","Age: 9 ex_fr_female$Type: Predicted Year: 1914 Ex: 54.164423","Age: 9 ex_fr_female$Type: Predicted Year: 1915 Ex: 53.980704","Age: 9 ex_fr_female$Type: Predicted Year: 1916 Ex: 54.637119","Age: 9 ex_fr_female$Type: Predicted Year: 1917 Ex: 54.539494","Age: 9 ex_fr_female$Type: Predicted Year: 1918 Ex: 46.723906","Age: 9 ex_fr_female$Type: Predicted Year: 1919 Ex: 52.838668","Age: 9 ex_fr_female$Type: Predicted Year: 1920 Ex: 55.264486","Age: 9 ex_fr_female$Type: Predicted Year: 1921 Ex: 55.653488","Age: 9 ex_fr_female$Type: Predicted Year: 1922 Ex: 55.442093","Age: 9 ex_fr_female$Type: Predicted Year: 1923 Ex: 56.319949","Age: 9 ex_fr_female$Type: Predicted Year: 1924 Ex: 56.004321","Age: 9 ex_fr_female$Type: Predicted Year: 1925 Ex: 55.822709","Age: 9 ex_fr_female$Type: Predicted Year: 1926 Ex: 55.788647","Age: 9 ex_fr_female$Type: Predicted Year: 1927 Ex: 56.532980","Age: 9 ex_fr_female$Type: Predicted Year: 1928 Ex: 56.808376","Age: 9 ex_fr_female$Type: Predicted Year: 1929 Ex: 55.864279","Age: 9 ex_fr_female$Type: Predicted Year: 1930 Ex: 57.590387","Age: 9 ex_fr_female$Type: Predicted Year: 1931 Ex: 57.120446","Age: 9 ex_fr_female$Type: Predicted Year: 1932 Ex: 57.715943","Age: 9 ex_fr_female$Type: Predicted Year: 1933 Ex: 57.874256","Age: 9 ex_fr_female$Type: Predicted Year: 1934 Ex: 58.709653","Age: 9 ex_fr_female$Type: Predicted Year: 1935 Ex: 58.239352","Age: 9 ex_fr_female$Type: Predicted Year: 1936 Ex: 58.866852","Age: 9 ex_fr_female$Type: Predicted Year: 1937 Ex: 59.164715","Age: 9 ex_fr_female$Type: Predicted Year: 1938 Ex: 59.022567","Age: 9 ex_fr_female$Type: Predicted Year: 1939 Ex: 59.330994","Age: 9 ex_fr_female$Type: Predicted Year: 1940 Ex: 57.350309","Age: 9 ex_fr_female$Type: Predicted Year: 1941 Ex: 58.791719","Age: 9 ex_fr_female$Type: Predicted Year: 1942 Ex: 58.857406","Age: 9 ex_fr_female$Type: Predicted Year: 1943 Ex: 55.658800","Age: 9 ex_fr_female$Type: Predicted Year: 1944 Ex: 50.987553","Age: 9 ex_fr_female$Type: Predicted Year: 1945 Ex: 58.495088","Age: 9 ex_fr_female$Type: Predicted Year: 1946 Ex: 62.631150","Age: 9 ex_fr_female$Type: Predicted Year: 1947 Ex: 63.419935","Age: 9 ex_fr_female$Type: Predicted Year: 1948 Ex: 64.325527","Age: 9 ex_fr_female$Type: Predicted Year: 1949 Ex: 63.417983","Age: 9 ex_fr_female$Type: Predicted Year: 1950 Ex: 64.406717","Age: 9 ex_fr_female$Type: Predicted Year: 1951 Ex: 64.018284","Age: 9 ex_fr_female$Type: Predicted Year: 1952 Ex: 65.113409","Age: 9 ex_fr_female$Type: Predicted Year: 1953 Ex: 64.684764","Age: 9 ex_fr_female$Type: Predicted Year: 1954 Ex: 65.669331","Age: 9 ex_fr_female$Type: Predicted Year: 1955 Ex: 65.841742","Age: 9 ex_fr_female$Type: Predicted Year: 1956 Ex: 65.718712","Age: 9 ex_fr_female$Type: Predicted Year: 1957 Ex: 66.173021","Age: 9 ex_fr_female$Type: Predicted Year: 1958 Ex: 67.012101","Age: 9 ex_fr_female$Type: Predicted Year: 1959 Ex: 67.023179","Age: 9 ex_fr_female$Type: Predicted Year: 1960 Ex: 67.040712","Age: 9 ex_fr_female$Type: Predicted Year: 1961 Ex: 67.718642","Age: 9 ex_fr_female$Type: Predicted Year: 1962 Ex: 67.197430","Age: 9 ex_fr_female$Type: Predicted Year: 1963 Ex: 67.121224","Age: 9 ex_fr_female$Type: Predicted Year: 1964 Ex: 67.973541","Age: 9 ex_fr_female$Type: Predicted Year: 1965 Ex: 67.739287","Age: 9 ex_fr_female$Type: Predicted Year: 1966 Ex: 68.173756","Age: 9 ex_fr_female$Type: Predicted Year: 1967 Ex: 68.126505","Age: 9 ex_fr_female$Type: Predicted Year: 1968 Ex: 68.155911","Age: 9 ex_fr_female$Type: Predicted Year: 1969 Ex: 67.925183","Age: 9 ex_fr_female$Type: Predicted Year: 1970 Ex: 68.589555","Age: 9 ex_fr_female$Type: Predicted Year: 1971 Ex: 68.594981","Age: 9 ex_fr_female$Type: Predicted Year: 1972 Ex: 68.812304","Age: 9 ex_fr_female$Type: Predicted Year: 1973 Ex: 68.897509","Age: 9 ex_fr_female$Type: Predicted Year: 1974 Ex: 69.241781","Age: 9 ex_fr_female$Type: Predicted Year: 1975 Ex: 69.294532","Age: 9 ex_fr_female$Type: Predicted Year: 1976 Ex: 69.553968","Age: 9 ex_fr_female$Type: Predicted Year: 1977 Ex: 70.134144","Age: 9 ex_fr_female$Type: Predicted Year: 1978 Ex: 70.182426","Age: 9 ex_fr_female$Type: Predicted Year: 1979 Ex: 70.469255","Age: 9 ex_fr_female$Type: Predicted Year: 1980 Ex: 70.587173","Age: 9 ex_fr_female$Type: Predicted Year: 1981 Ex: 70.641836","Age: 9 ex_fr_female$Type: Predicted Year: 1982 Ex: 71.006555","Age: 9 ex_fr_female$Type: Predicted Year: 1983 Ex: 70.905524","Age: 9 ex_fr_female$Type: Predicted Year: 1984 Ex: 71.394696","Age: 9 ex_fr_female$Type: Predicted Year: 1985 Ex: 71.465697","Age: 9 ex_fr_female$Type: Predicted Year: 1986 Ex: 71.716506","Age: 9 ex_fr_female$Type: Predicted Year: 1987 Ex: 72.253210","Age: 9 ex_fr_female$Type: Predicted Year: 1988 Ex: 72.451177","Age: 9 ex_fr_female$Type: Predicted Year: 1989 Ex: 72.605084","Age: 9 ex_fr_female$Type: Predicted Year: 1990 Ex: 72.874723","Age: 9 ex_fr_female$Type: Predicted Year: 1991 Ex: 73.090410","Age: 9 ex_fr_female$Type: Predicted Year: 1992 Ex: 73.313173","Age: 9 ex_fr_female$Type: Predicted Year: 1993 Ex: 73.285527","Age: 9 ex_fr_female$Type: Predicted Year: 1994 Ex: 73.682584","Age: 9 ex_fr_female$Type: Predicted Year: 1995 Ex: 73.643418","Age: 9 ex_fr_female$Type: Predicted Year: 1996 Ex: 73.759708","Age: 9 ex_fr_female$Type: Predicted Year: 1997 Ex: 74.014769","Age: 9 ex_fr_female$Type: Predicted Year: 1998 Ex: 74.116074","Age: 9 ex_fr_female$Type: Predicted Year: 1999 Ex: 74.192443","Age: 9 ex_fr_female$Type: Predicted Year: 2000 Ex: 74.477694","Age: 9 ex_fr_female$Type: Predicted Year: 2001 Ex: 74.629922","Age: 9 ex_fr_female$Type: Predicted Year: 2002 Ex: 74.694553","Age: 9 ex_fr_female$Type: Predicted Year: 2003 Ex: 74.596475","Age: 9 ex_fr_female$Type: Predicted Year: 2004 Ex: 75.492974","Age: 9 ex_fr_female$Type: Predicted Year: 2005 Ex: 75.427562","Age: 9 ex_fr_female$Type: Predicted Year: 2006 Ex: 75.787046","Age: 9 ex_fr_female$Type: Predicted Year: 2007 Ex: 75.971933","Age: 9 ex_fr_female$Type: Predicted Year: 2008 Ex: 75.941313","Age: 9 ex_fr_female$Type: Predicted Year: 2009 Ex: 76.032717","Age: 9 ex_fr_female$Type: Predicted Year: 2010 Ex: 76.253685","Age: 9 ex_fr_female$Type: Predicted Year: 2011 Ex: 76.573660","Age: 9 ex_fr_female$Type: Predicted Year: 2012 Ex: 76.427000","Age: 9 ex_fr_female$Type: Predicted Year: 2013 Ex: 76.650012","Age: 9 ex_fr_female$Type: Predicted Year: 2014 Ex: 77.021306","Age: 9 ex_fr_female$Type: Predicted Year: 2015 Ex: 76.738033","Age: 9 ex_fr_female$Type: Predicted Year: 2016 Ex: 76.919285","Age: 9 ex_fr_female$Type: Predicted Year: 2017 Ex: 76.889289"],"frame":"9","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"10","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[47.75,47.4,46.9,46.82,47.37,48.36,48,48.89,48.84,47.85,46.87,47.47,47.17,47.45,47.44,47.84,43.8,47.05,45.59,47.22,48.71,46.22,47.46,48.06,47.08,48.11,47.39,47.97,48.56,49.07,47.76,46.68,47.13,44.03,48.86,48.61,48.18,47.84,43.65,45.73,47.64,47.25,46.91,46.32,49.04,48.54,49.12,48.98,48.58,47.65,47.77,49.09,48.36,48.47,45.3,40.64,49.34,48.72,49.9,48.91,49.34,49.91,49.55,49.38,49.43,49.75,49.54,49.55,49.58,49.87,49.52,49.74,50.34,51.07,49.89,49.67,50.06,50.09,51,50.6,51.74,52.46,51.64,51.26,50.41,51.58,51.98,52.21,52.21,51.89,51.93,51.49,52.56,52.38,53.46,52.74,53.7,53.78,53.07,52.9,53.54,53.45,45.71,51.76,54.17,54.54,54.31,55.18,54.87,54.7,54.66,55.39,55.67,54.74,56.44,55.98,56.57,56.72,57.56,57.08,57.7,58,57.85,58.16,56.2,57.62,57.69,54.52,49.89,57.35,61.44,62.22,63.11,62.2,63.19,62.8,63.89,63.46,64.44,64.61,64.49,64.94,65.78,65.79,65.8,66.48,65.96,65.88,66.74,66.5,66.94,66.89,66.92,66.69,67.35,67.36,67.58,67.66,68.01,68.06,68.32,68.9,68.95,69.23,69.35,69.4,69.77,69.67,70.16,70.23,70.47,71.01,71.21,71.37,71.64,71.85,72.07,72.04,72.44,72.4,72.52,72.77,72.87,72.95,73.24,73.38,73.45,73.35,74.25,74.18,74.54,74.72,74.7,74.79,75.01,75.33,75.18,75.4,75.78,75.49,75.67,75.65],"text":["Age: 10 ex_fr_female$Type: Observed Year: 1816 Ex: 47.750000","Age: 10 ex_fr_female$Type: Observed Year: 1817 Ex: 47.400000","Age: 10 ex_fr_female$Type: Observed Year: 1818 Ex: 46.900000","Age: 10 ex_fr_female$Type: Observed Year: 1819 Ex: 46.820000","Age: 10 ex_fr_female$Type: Observed Year: 1820 Ex: 47.370000","Age: 10 ex_fr_female$Type: Observed Year: 1821 Ex: 48.360000","Age: 10 ex_fr_female$Type: Observed Year: 1822 Ex: 48.000000","Age: 10 ex_fr_female$Type: Observed Year: 1823 Ex: 48.890000","Age: 10 ex_fr_female$Type: Observed Year: 1824 Ex: 48.840000","Age: 10 ex_fr_female$Type: Observed Year: 1825 Ex: 47.850000","Age: 10 ex_fr_female$Type: Observed Year: 1826 Ex: 46.870000","Age: 10 ex_fr_female$Type: Observed Year: 1827 Ex: 47.470000","Age: 10 ex_fr_female$Type: Observed Year: 1828 Ex: 47.170000","Age: 10 ex_fr_female$Type: Observed Year: 1829 Ex: 47.450000","Age: 10 ex_fr_female$Type: Observed Year: 1830 Ex: 47.440000","Age: 10 ex_fr_female$Type: Observed Year: 1831 Ex: 47.840000","Age: 10 ex_fr_female$Type: Observed Year: 1832 Ex: 43.800000","Age: 10 ex_fr_female$Type: Observed Year: 1833 Ex: 47.050000","Age: 10 ex_fr_female$Type: Observed Year: 1834 Ex: 45.590000","Age: 10 ex_fr_female$Type: Observed Year: 1835 Ex: 47.220000","Age: 10 ex_fr_female$Type: Observed Year: 1836 Ex: 48.710000","Age: 10 ex_fr_female$Type: Observed Year: 1837 Ex: 46.220000","Age: 10 ex_fr_female$Type: Observed Year: 1838 Ex: 47.460000","Age: 10 ex_fr_female$Type: Observed Year: 1839 Ex: 48.060000","Age: 10 ex_fr_female$Type: Observed Year: 1840 Ex: 47.080000","Age: 10 ex_fr_female$Type: Observed Year: 1841 Ex: 48.110000","Age: 10 ex_fr_female$Type: Observed Year: 1842 Ex: 47.390000","Age: 10 ex_fr_female$Type: Observed Year: 1843 Ex: 47.970000","Age: 10 ex_fr_female$Type: Observed Year: 1844 Ex: 48.560000","Age: 10 ex_fr_female$Type: Observed Year: 1845 Ex: 49.070000","Age: 10 ex_fr_female$Type: Observed Year: 1846 Ex: 47.760000","Age: 10 ex_fr_female$Type: Observed Year: 1847 Ex: 46.680000","Age: 10 ex_fr_female$Type: Observed Year: 1848 Ex: 47.130000","Age: 10 ex_fr_female$Type: Observed Year: 1849 Ex: 44.030000","Age: 10 ex_fr_female$Type: Observed Year: 1850 Ex: 48.860000","Age: 10 ex_fr_female$Type: Observed Year: 1851 Ex: 48.610000","Age: 10 ex_fr_female$Type: Observed Year: 1852 Ex: 48.180000","Age: 10 ex_fr_female$Type: Observed Year: 1853 Ex: 47.840000","Age: 10 ex_fr_female$Type: Observed Year: 1854 Ex: 43.650000","Age: 10 ex_fr_female$Type: Observed Year: 1855 Ex: 45.730000","Age: 10 ex_fr_female$Type: Observed Year: 1856 Ex: 47.640000","Age: 10 ex_fr_female$Type: Observed Year: 1857 Ex: 47.250000","Age: 10 ex_fr_female$Type: Observed Year: 1858 Ex: 46.910000","Age: 10 ex_fr_female$Type: Observed Year: 1859 Ex: 46.320000","Age: 10 ex_fr_female$Type: Observed Year: 1860 Ex: 49.040000","Age: 10 ex_fr_female$Type: Observed Year: 1861 Ex: 48.540000","Age: 10 ex_fr_female$Type: Observed Year: 1862 Ex: 49.120000","Age: 10 ex_fr_female$Type: Observed Year: 1863 Ex: 48.980000","Age: 10 ex_fr_female$Type: Observed Year: 1864 Ex: 48.580000","Age: 10 ex_fr_female$Type: Observed Year: 1865 Ex: 47.650000","Age: 10 ex_fr_female$Type: Observed Year: 1866 Ex: 47.770000","Age: 10 ex_fr_female$Type: Observed Year: 1867 Ex: 49.090000","Age: 10 ex_fr_female$Type: Observed Year: 1868 Ex: 48.360000","Age: 10 ex_fr_female$Type: Observed Year: 1869 Ex: 48.470000","Age: 10 ex_fr_female$Type: Observed Year: 1870 Ex: 45.300000","Age: 10 ex_fr_female$Type: Observed Year: 1871 Ex: 40.640000","Age: 10 ex_fr_female$Type: Observed Year: 1872 Ex: 49.340000","Age: 10 ex_fr_female$Type: Observed Year: 1873 Ex: 48.720000","Age: 10 ex_fr_female$Type: Observed Year: 1874 Ex: 49.900000","Age: 10 ex_fr_female$Type: Observed Year: 1875 Ex: 48.910000","Age: 10 ex_fr_female$Type: Observed Year: 1876 Ex: 49.340000","Age: 10 ex_fr_female$Type: Observed Year: 1877 Ex: 49.910000","Age: 10 ex_fr_female$Type: Observed Year: 1878 Ex: 49.550000","Age: 10 ex_fr_female$Type: Observed Year: 1879 Ex: 49.380000","Age: 10 ex_fr_female$Type: Observed Year: 1880 Ex: 49.430000","Age: 10 ex_fr_female$Type: Observed Year: 1881 Ex: 49.750000","Age: 10 ex_fr_female$Type: Observed Year: 1882 Ex: 49.540000","Age: 10 ex_fr_female$Type: Observed Year: 1883 Ex: 49.550000","Age: 10 ex_fr_female$Type: Observed Year: 1884 Ex: 49.580000","Age: 10 ex_fr_female$Type: Observed Year: 1885 Ex: 49.870000","Age: 10 ex_fr_female$Type: Observed Year: 1886 Ex: 49.520000","Age: 10 ex_fr_female$Type: Observed Year: 1887 Ex: 49.740000","Age: 10 ex_fr_female$Type: Observed Year: 1888 Ex: 50.340000","Age: 10 ex_fr_female$Type: Observed Year: 1889 Ex: 51.070000","Age: 10 ex_fr_female$Type: Observed Year: 1890 Ex: 49.890000","Age: 10 ex_fr_female$Type: Observed Year: 1891 Ex: 49.670000","Age: 10 ex_fr_female$Type: Observed Year: 1892 Ex: 50.060000","Age: 10 ex_fr_female$Type: Observed Year: 1893 Ex: 50.090000","Age: 10 ex_fr_female$Type: Observed Year: 1894 Ex: 51.000000","Age: 10 ex_fr_female$Type: Observed Year: 1895 Ex: 50.600000","Age: 10 ex_fr_female$Type: Observed Year: 1896 Ex: 51.740000","Age: 10 ex_fr_female$Type: Observed Year: 1897 Ex: 52.460000","Age: 10 ex_fr_female$Type: Observed Year: 1898 Ex: 51.640000","Age: 10 ex_fr_female$Type: Observed Year: 1899 Ex: 51.260000","Age: 10 ex_fr_female$Type: Observed Year: 1900 Ex: 50.410000","Age: 10 ex_fr_female$Type: Observed Year: 1901 Ex: 51.580000","Age: 10 ex_fr_female$Type: Observed Year: 1902 Ex: 51.980000","Age: 10 ex_fr_female$Type: Observed Year: 1903 Ex: 52.210000","Age: 10 ex_fr_female$Type: Observed Year: 1904 Ex: 52.210000","Age: 10 ex_fr_female$Type: Observed Year: 1905 Ex: 51.890000","Age: 10 ex_fr_female$Type: Observed Year: 1906 Ex: 51.930000","Age: 10 ex_fr_female$Type: Observed Year: 1907 Ex: 51.490000","Age: 10 ex_fr_female$Type: Observed Year: 1908 Ex: 52.560000","Age: 10 ex_fr_female$Type: Observed Year: 1909 Ex: 52.380000","Age: 10 ex_fr_female$Type: Observed Year: 1910 Ex: 53.460000","Age: 10 ex_fr_female$Type: Observed Year: 1911 Ex: 52.740000","Age: 10 ex_fr_female$Type: Observed Year: 1912 Ex: 53.700000","Age: 10 ex_fr_female$Type: Observed Year: 1913 Ex: 53.780000","Age: 10 ex_fr_female$Type: Observed Year: 1914 Ex: 53.070000","Age: 10 ex_fr_female$Type: Observed Year: 1915 Ex: 52.900000","Age: 10 ex_fr_female$Type: Observed Year: 1916 Ex: 53.540000","Age: 10 ex_fr_female$Type: Observed Year: 1917 Ex: 53.450000","Age: 10 ex_fr_female$Type: Observed Year: 1918 Ex: 45.710000","Age: 10 ex_fr_female$Type: Observed Year: 1919 Ex: 51.760000","Age: 10 ex_fr_female$Type: Observed Year: 1920 Ex: 54.170000","Age: 10 ex_fr_female$Type: Observed Year: 1921 Ex: 54.540000","Age: 10 ex_fr_female$Type: Observed Year: 1922 Ex: 54.310000","Age: 10 ex_fr_female$Type: Observed Year: 1923 Ex: 55.180000","Age: 10 ex_fr_female$Type: Observed Year: 1924 Ex: 54.870000","Age: 10 ex_fr_female$Type: Observed Year: 1925 Ex: 54.700000","Age: 10 ex_fr_female$Type: Observed Year: 1926 Ex: 54.660000","Age: 10 ex_fr_female$Type: Observed Year: 1927 Ex: 55.390000","Age: 10 ex_fr_female$Type: Observed Year: 1928 Ex: 55.670000","Age: 10 ex_fr_female$Type: Observed Year: 1929 Ex: 54.740000","Age: 10 ex_fr_female$Type: Observed Year: 1930 Ex: 56.440000","Age: 10 ex_fr_female$Type: Observed Year: 1931 Ex: 55.980000","Age: 10 ex_fr_female$Type: Observed Year: 1932 Ex: 56.570000","Age: 10 ex_fr_female$Type: Observed Year: 1933 Ex: 56.720000","Age: 10 ex_fr_female$Type: Observed Year: 1934 Ex: 57.560000","Age: 10 ex_fr_female$Type: Observed Year: 1935 Ex: 57.080000","Age: 10 ex_fr_female$Type: Observed Year: 1936 Ex: 57.700000","Age: 10 ex_fr_female$Type: Observed Year: 1937 Ex: 58.000000","Age: 10 ex_fr_female$Type: Observed Year: 1938 Ex: 57.850000","Age: 10 ex_fr_female$Type: Observed Year: 1939 Ex: 58.160000","Age: 10 ex_fr_female$Type: Observed Year: 1940 Ex: 56.200000","Age: 10 ex_fr_female$Type: Observed Year: 1941 Ex: 57.620000","Age: 10 ex_fr_female$Type: Observed Year: 1942 Ex: 57.690000","Age: 10 ex_fr_female$Type: Observed Year: 1943 Ex: 54.520000","Age: 10 ex_fr_female$Type: Observed Year: 1944 Ex: 49.890000","Age: 10 ex_fr_female$Type: Observed Year: 1945 Ex: 57.350000","Age: 10 ex_fr_female$Type: Observed Year: 1946 Ex: 61.440000","Age: 10 ex_fr_female$Type: Observed Year: 1947 Ex: 62.220000","Age: 10 ex_fr_female$Type: Observed Year: 1948 Ex: 63.110000","Age: 10 ex_fr_female$Type: Observed Year: 1949 Ex: 62.200000","Age: 10 ex_fr_female$Type: Observed Year: 1950 Ex: 63.190000","Age: 10 ex_fr_female$Type: Observed Year: 1951 Ex: 62.800000","Age: 10 ex_fr_female$Type: Observed Year: 1952 Ex: 63.890000","Age: 10 ex_fr_female$Type: Observed Year: 1953 Ex: 63.460000","Age: 10 ex_fr_female$Type: Observed Year: 1954 Ex: 64.440000","Age: 10 ex_fr_female$Type: Observed Year: 1955 Ex: 64.610000","Age: 10 ex_fr_female$Type: Observed Year: 1956 Ex: 64.490000","Age: 10 ex_fr_female$Type: Observed Year: 1957 Ex: 64.940000","Age: 10 ex_fr_female$Type: Observed Year: 1958 Ex: 65.780000","Age: 10 ex_fr_female$Type: Observed Year: 1959 Ex: 65.790000","Age: 10 ex_fr_female$Type: Observed Year: 1960 Ex: 65.800000","Age: 10 ex_fr_female$Type: Observed Year: 1961 Ex: 66.480000","Age: 10 ex_fr_female$Type: Observed Year: 1962 Ex: 65.960000","Age: 10 ex_fr_female$Type: Observed Year: 1963 Ex: 65.880000","Age: 10 ex_fr_female$Type: Observed Year: 1964 Ex: 66.740000","Age: 10 ex_fr_female$Type: Observed Year: 1965 Ex: 66.500000","Age: 10 ex_fr_female$Type: Observed Year: 1966 Ex: 66.940000","Age: 10 ex_fr_female$Type: Observed Year: 1967 Ex: 66.890000","Age: 10 ex_fr_female$Type: Observed Year: 1968 Ex: 66.920000","Age: 10 ex_fr_female$Type: Observed Year: 1969 Ex: 66.690000","Age: 10 ex_fr_female$Type: Observed Year: 1970 Ex: 67.350000","Age: 10 ex_fr_female$Type: Observed Year: 1971 Ex: 67.360000","Age: 10 ex_fr_female$Type: Observed Year: 1972 Ex: 67.580000","Age: 10 ex_fr_female$Type: Observed Year: 1973 Ex: 67.660000","Age: 10 ex_fr_female$Type: Observed Year: 1974 Ex: 68.010000","Age: 10 ex_fr_female$Type: Observed Year: 1975 Ex: 68.060000","Age: 10 ex_fr_female$Type: Observed Year: 1976 Ex: 68.320000","Age: 10 ex_fr_female$Type: Observed Year: 1977 Ex: 68.900000","Age: 10 ex_fr_female$Type: Observed Year: 1978 Ex: 68.950000","Age: 10 ex_fr_female$Type: Observed Year: 1979 Ex: 69.230000","Age: 10 ex_fr_female$Type: Observed Year: 1980 Ex: 69.350000","Age: 10 ex_fr_female$Type: Observed Year: 1981 Ex: 69.400000","Age: 10 ex_fr_female$Type: Observed Year: 1982 Ex: 69.770000","Age: 10 ex_fr_female$Type: Observed Year: 1983 Ex: 69.670000","Age: 10 ex_fr_female$Type: Observed Year: 1984 Ex: 70.160000","Age: 10 ex_fr_female$Type: Observed Year: 1985 Ex: 70.230000","Age: 10 ex_fr_female$Type: Observed Year: 1986 Ex: 70.470000","Age: 10 ex_fr_female$Type: Observed Year: 1987 Ex: 71.010000","Age: 10 ex_fr_female$Type: Observed Year: 1988 Ex: 71.210000","Age: 10 ex_fr_female$Type: Observed Year: 1989 Ex: 71.370000","Age: 10 ex_fr_female$Type: Observed Year: 1990 Ex: 71.640000","Age: 10 ex_fr_female$Type: Observed Year: 1991 Ex: 71.850000","Age: 10 ex_fr_female$Type: Observed Year: 1992 Ex: 72.070000","Age: 10 ex_fr_female$Type: Observed Year: 1993 Ex: 72.040000","Age: 10 ex_fr_female$Type: Observed Year: 1994 Ex: 72.440000","Age: 10 ex_fr_female$Type: Observed Year: 1995 Ex: 72.400000","Age: 10 ex_fr_female$Type: Observed Year: 1996 Ex: 72.520000","Age: 10 ex_fr_female$Type: Observed Year: 1997 Ex: 72.770000","Age: 10 ex_fr_female$Type: Observed Year: 1998 Ex: 72.870000","Age: 10 ex_fr_female$Type: Observed Year: 1999 Ex: 72.950000","Age: 10 ex_fr_female$Type: Observed Year: 2000 Ex: 73.240000","Age: 10 ex_fr_female$Type: Observed Year: 2001 Ex: 73.380000","Age: 10 ex_fr_female$Type: Observed Year: 2002 Ex: 73.450000","Age: 10 ex_fr_female$Type: Observed Year: 2003 Ex: 73.350000","Age: 10 ex_fr_female$Type: Observed Year: 2004 Ex: 74.250000","Age: 10 ex_fr_female$Type: Observed Year: 2005 Ex: 74.180000","Age: 10 ex_fr_female$Type: Observed Year: 2006 Ex: 74.540000","Age: 10 ex_fr_female$Type: Observed Year: 2007 Ex: 74.720000","Age: 10 ex_fr_female$Type: Observed Year: 2008 Ex: 74.700000","Age: 10 ex_fr_female$Type: Observed Year: 2009 Ex: 74.790000","Age: 10 ex_fr_female$Type: Observed Year: 2010 Ex: 75.010000","Age: 10 ex_fr_female$Type: Observed Year: 2011 Ex: 75.330000","Age: 10 ex_fr_female$Type: Observed Year: 2012 Ex: 75.180000","Age: 10 ex_fr_female$Type: Observed Year: 2013 Ex: 75.400000","Age: 10 ex_fr_female$Type: Observed Year: 2014 Ex: 75.780000","Age: 10 ex_fr_female$Type: Observed Year: 2015 Ex: 75.490000","Age: 10 ex_fr_female$Type: Observed Year: 2016 Ex: 75.670000","Age: 10 ex_fr_female$Type: Observed Year: 2017 Ex: 75.650000"],"frame":"10","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[48.003467640192,47.6472742212543,47.1540216014937,47.0713714886155,47.6178314526663,48.6089424769107,48.2430685450524,49.1327079711923,49.0883597621999,48.1037369112803,47.1149230427072,47.7231408782782,47.4196951904062,47.6995851994785,47.6890017499401,48.0911302884837,44.0492682941479,47.2965307365007,45.8364640264812,47.469523362059,48.9575037420247,46.4720258693785,47.7126992378451,48.310742295173,47.3232524325788,48.3615793856114,47.6410032823557,48.2117361279729,48.8059101960531,49.3209382119195,48.0079758401972,46.9290700356092,47.3723888029698,44.2840272808725,49.1079815001751,48.8569443608669,48.4241398741631,48.0856776056754,43.8984103365029,45.9774304930634,47.8822023479029,47.4889231868795,47.1563297895489,46.5601248990434,49.2808974054237,48.7880363985628,49.3664859846861,49.2215679052312,48.8299562666619,47.8969462994863,48.01218448324,49.3374589321135,48.6078361935524,48.7115864546076,45.5500112894383,40.903125490738,49.5784288269331,48.9570215172668,50.1452489929989,49.1477812901965,49.5800621031681,50.1485339166132,49.7918033094632,49.62449297817,49.6704529615322,49.9952320150714,49.7817853082739,49.7954392625608,49.815769082863,50.1083765804854,49.7628721216412,49.9792393580791,50.5800547022339,51.3076583908149,50.1264207832505,49.9092678906713,50.3017470674202,50.3305121376687,51.2361687130214,50.8396313106657,51.980532266103,52.6988768294692,51.8771070118356,51.5003465508708,50.6459055690311,51.8215884375997,52.2175657202447,52.4442985213122,52.4453705775163,52.1241457586725,52.1642806020259,51.7289143190825,52.7997329051023,52.6190587230195,53.6959828233724,52.9779093835782,53.9405319683434,54.0190573592291,53.3030556713892,53.1376320771185,53.7813155318874,53.6910166609531,45.9551405235731,51.994869798296,54.4059604334807,54.7788289551932,54.5493344244699,55.4193969270743,55.1054309511802,54.9329108600673,54.9009964912935,55.6271945548633,55.9115143648909,54.9756732974467,56.6806615159708,56.2213199288758,56.8098538241045,56.9632552920547,57.7976161927459,57.3196656442432,57.9427781526801,58.235742176501,58.0934223765031,58.4022224500869,56.4367875365238,57.8622946217175,57.9268930483426,54.7576227995534,50.1356990621102,57.5856310659838,61.6902023478665,62.4671425606924,63.3631951175312,62.4544861959513,63.4348417753057,63.0462384903398,64.136674266995,63.7072329144849,64.6869288332643,64.8574262918243,64.7369754843555,65.1946969357555,66.0313918691387,66.0431394022968,66.0573492804325,66.7347768084604,66.214773107474,66.1372150213909,66.9910862704573,66.7560985242846,67.1899993753759,67.1434136190503,67.1735033518082,66.9433904935326,67.6065796451208,67.6126877081553,67.8314339213037,67.9118738991739,68.2589683064049,68.311732513665,68.5705428922347,69.151554730882,69.1984546769735,69.4846502355083,69.6004912487373,69.6572692322654,70.0206574797442,69.9196069687307,70.4095854668495,70.4777625709615,70.7271895914128,71.2646910521979,71.4634099569219,71.6173425146636,71.886304380473,72.1012995728484,72.3248239957358,72.2949901941419,72.6913666163261,72.6521958832314,72.7677668543247,73.0243264985968,73.1234363413788,73.2012870293549,73.4873114553267,73.6351116015633,73.7034568773485,73.6031434955434,74.4989739075029,74.4320573901796,74.7938224099213,74.9779713451046,74.9473483380206,75.0387595182715,75.2589880237733,75.5782240615706,75.4330740884672,75.6545806547833,76.0266624563676,75.7426073698256,75.9238706844982,75.8938721080887],"text":["Age: 10 ex_fr_female$Type: Predicted Year: 1816 Ex: 48.003468","Age: 10 ex_fr_female$Type: Predicted Year: 1817 Ex: 47.647274","Age: 10 ex_fr_female$Type: Predicted Year: 1818 Ex: 47.154022","Age: 10 ex_fr_female$Type: Predicted Year: 1819 Ex: 47.071371","Age: 10 ex_fr_female$Type: Predicted Year: 1820 Ex: 47.617831","Age: 10 ex_fr_female$Type: Predicted Year: 1821 Ex: 48.608942","Age: 10 ex_fr_female$Type: Predicted Year: 1822 Ex: 48.243069","Age: 10 ex_fr_female$Type: Predicted Year: 1823 Ex: 49.132708","Age: 10 ex_fr_female$Type: Predicted Year: 1824 Ex: 49.088360","Age: 10 ex_fr_female$Type: Predicted Year: 1825 Ex: 48.103737","Age: 10 ex_fr_female$Type: Predicted Year: 1826 Ex: 47.114923","Age: 10 ex_fr_female$Type: Predicted Year: 1827 Ex: 47.723141","Age: 10 ex_fr_female$Type: Predicted Year: 1828 Ex: 47.419695","Age: 10 ex_fr_female$Type: Predicted Year: 1829 Ex: 47.699585","Age: 10 ex_fr_female$Type: Predicted Year: 1830 Ex: 47.689002","Age: 10 ex_fr_female$Type: Predicted Year: 1831 Ex: 48.091130","Age: 10 ex_fr_female$Type: Predicted Year: 1832 Ex: 44.049268","Age: 10 ex_fr_female$Type: Predicted Year: 1833 Ex: 47.296531","Age: 10 ex_fr_female$Type: Predicted Year: 1834 Ex: 45.836464","Age: 10 ex_fr_female$Type: Predicted Year: 1835 Ex: 47.469523","Age: 10 ex_fr_female$Type: Predicted Year: 1836 Ex: 48.957504","Age: 10 ex_fr_female$Type: Predicted Year: 1837 Ex: 46.472026","Age: 10 ex_fr_female$Type: Predicted Year: 1838 Ex: 47.712699","Age: 10 ex_fr_female$Type: Predicted Year: 1839 Ex: 48.310742","Age: 10 ex_fr_female$Type: Predicted Year: 1840 Ex: 47.323252","Age: 10 ex_fr_female$Type: Predicted Year: 1841 Ex: 48.361579","Age: 10 ex_fr_female$Type: Predicted Year: 1842 Ex: 47.641003","Age: 10 ex_fr_female$Type: Predicted Year: 1843 Ex: 48.211736","Age: 10 ex_fr_female$Type: Predicted Year: 1844 Ex: 48.805910","Age: 10 ex_fr_female$Type: Predicted Year: 1845 Ex: 49.320938","Age: 10 ex_fr_female$Type: Predicted Year: 1846 Ex: 48.007976","Age: 10 ex_fr_female$Type: Predicted Year: 1847 Ex: 46.929070","Age: 10 ex_fr_female$Type: Predicted Year: 1848 Ex: 47.372389","Age: 10 ex_fr_female$Type: Predicted Year: 1849 Ex: 44.284027","Age: 10 ex_fr_female$Type: Predicted Year: 1850 Ex: 49.107982","Age: 10 ex_fr_female$Type: Predicted Year: 1851 Ex: 48.856944","Age: 10 ex_fr_female$Type: Predicted Year: 1852 Ex: 48.424140","Age: 10 ex_fr_female$Type: Predicted Year: 1853 Ex: 48.085678","Age: 10 ex_fr_female$Type: Predicted Year: 1854 Ex: 43.898410","Age: 10 ex_fr_female$Type: Predicted Year: 1855 Ex: 45.977430","Age: 10 ex_fr_female$Type: Predicted Year: 1856 Ex: 47.882202","Age: 10 ex_fr_female$Type: Predicted Year: 1857 Ex: 47.488923","Age: 10 ex_fr_female$Type: Predicted Year: 1858 Ex: 47.156330","Age: 10 ex_fr_female$Type: Predicted Year: 1859 Ex: 46.560125","Age: 10 ex_fr_female$Type: Predicted Year: 1860 Ex: 49.280897","Age: 10 ex_fr_female$Type: Predicted Year: 1861 Ex: 48.788036","Age: 10 ex_fr_female$Type: Predicted Year: 1862 Ex: 49.366486","Age: 10 ex_fr_female$Type: Predicted Year: 1863 Ex: 49.221568","Age: 10 ex_fr_female$Type: Predicted Year: 1864 Ex: 48.829956","Age: 10 ex_fr_female$Type: Predicted Year: 1865 Ex: 47.896946","Age: 10 ex_fr_female$Type: Predicted Year: 1866 Ex: 48.012184","Age: 10 ex_fr_female$Type: Predicted Year: 1867 Ex: 49.337459","Age: 10 ex_fr_female$Type: Predicted Year: 1868 Ex: 48.607836","Age: 10 ex_fr_female$Type: Predicted Year: 1869 Ex: 48.711586","Age: 10 ex_fr_female$Type: Predicted Year: 1870 Ex: 45.550011","Age: 10 ex_fr_female$Type: Predicted Year: 1871 Ex: 40.903125","Age: 10 ex_fr_female$Type: Predicted Year: 1872 Ex: 49.578429","Age: 10 ex_fr_female$Type: Predicted Year: 1873 Ex: 48.957022","Age: 10 ex_fr_female$Type: Predicted Year: 1874 Ex: 50.145249","Age: 10 ex_fr_female$Type: Predicted Year: 1875 Ex: 49.147781","Age: 10 ex_fr_female$Type: Predicted Year: 1876 Ex: 49.580062","Age: 10 ex_fr_female$Type: Predicted Year: 1877 Ex: 50.148534","Age: 10 ex_fr_female$Type: Predicted Year: 1878 Ex: 49.791803","Age: 10 ex_fr_female$Type: Predicted Year: 1879 Ex: 49.624493","Age: 10 ex_fr_female$Type: Predicted Year: 1880 Ex: 49.670453","Age: 10 ex_fr_female$Type: Predicted Year: 1881 Ex: 49.995232","Age: 10 ex_fr_female$Type: Predicted Year: 1882 Ex: 49.781785","Age: 10 ex_fr_female$Type: Predicted Year: 1883 Ex: 49.795439","Age: 10 ex_fr_female$Type: Predicted Year: 1884 Ex: 49.815769","Age: 10 ex_fr_female$Type: Predicted Year: 1885 Ex: 50.108377","Age: 10 ex_fr_female$Type: Predicted Year: 1886 Ex: 49.762872","Age: 10 ex_fr_female$Type: Predicted Year: 1887 Ex: 49.979239","Age: 10 ex_fr_female$Type: Predicted Year: 1888 Ex: 50.580055","Age: 10 ex_fr_female$Type: Predicted Year: 1889 Ex: 51.307658","Age: 10 ex_fr_female$Type: Predicted Year: 1890 Ex: 50.126421","Age: 10 ex_fr_female$Type: Predicted Year: 1891 Ex: 49.909268","Age: 10 ex_fr_female$Type: Predicted Year: 1892 Ex: 50.301747","Age: 10 ex_fr_female$Type: Predicted Year: 1893 Ex: 50.330512","Age: 10 ex_fr_female$Type: Predicted Year: 1894 Ex: 51.236169","Age: 10 ex_fr_female$Type: Predicted Year: 1895 Ex: 50.839631","Age: 10 ex_fr_female$Type: Predicted Year: 1896 Ex: 51.980532","Age: 10 ex_fr_female$Type: Predicted Year: 1897 Ex: 52.698877","Age: 10 ex_fr_female$Type: Predicted Year: 1898 Ex: 51.877107","Age: 10 ex_fr_female$Type: Predicted Year: 1899 Ex: 51.500347","Age: 10 ex_fr_female$Type: Predicted Year: 1900 Ex: 50.645906","Age: 10 ex_fr_female$Type: Predicted Year: 1901 Ex: 51.821588","Age: 10 ex_fr_female$Type: Predicted Year: 1902 Ex: 52.217566","Age: 10 ex_fr_female$Type: Predicted Year: 1903 Ex: 52.444299","Age: 10 ex_fr_female$Type: Predicted Year: 1904 Ex: 52.445371","Age: 10 ex_fr_female$Type: Predicted Year: 1905 Ex: 52.124146","Age: 10 ex_fr_female$Type: Predicted Year: 1906 Ex: 52.164281","Age: 10 ex_fr_female$Type: Predicted Year: 1907 Ex: 51.728914","Age: 10 ex_fr_female$Type: Predicted Year: 1908 Ex: 52.799733","Age: 10 ex_fr_female$Type: Predicted Year: 1909 Ex: 52.619059","Age: 10 ex_fr_female$Type: Predicted Year: 1910 Ex: 53.695983","Age: 10 ex_fr_female$Type: Predicted Year: 1911 Ex: 52.977909","Age: 10 ex_fr_female$Type: Predicted Year: 1912 Ex: 53.940532","Age: 10 ex_fr_female$Type: Predicted Year: 1913 Ex: 54.019057","Age: 10 ex_fr_female$Type: Predicted Year: 1914 Ex: 53.303056","Age: 10 ex_fr_female$Type: Predicted Year: 1915 Ex: 53.137632","Age: 10 ex_fr_female$Type: Predicted Year: 1916 Ex: 53.781316","Age: 10 ex_fr_female$Type: Predicted Year: 1917 Ex: 53.691017","Age: 10 ex_fr_female$Type: Predicted Year: 1918 Ex: 45.955141","Age: 10 ex_fr_female$Type: Predicted Year: 1919 Ex: 51.994870","Age: 10 ex_fr_female$Type: Predicted Year: 1920 Ex: 54.405960","Age: 10 ex_fr_female$Type: Predicted Year: 1921 Ex: 54.778829","Age: 10 ex_fr_female$Type: Predicted Year: 1922 Ex: 54.549334","Age: 10 ex_fr_female$Type: Predicted Year: 1923 Ex: 55.419397","Age: 10 ex_fr_female$Type: Predicted Year: 1924 Ex: 55.105431","Age: 10 ex_fr_female$Type: Predicted Year: 1925 Ex: 54.932911","Age: 10 ex_fr_female$Type: Predicted Year: 1926 Ex: 54.900996","Age: 10 ex_fr_female$Type: Predicted Year: 1927 Ex: 55.627195","Age: 10 ex_fr_female$Type: Predicted Year: 1928 Ex: 55.911514","Age: 10 ex_fr_female$Type: Predicted Year: 1929 Ex: 54.975673","Age: 10 ex_fr_female$Type: Predicted Year: 1930 Ex: 56.680662","Age: 10 ex_fr_female$Type: Predicted Year: 1931 Ex: 56.221320","Age: 10 ex_fr_female$Type: Predicted Year: 1932 Ex: 56.809854","Age: 10 ex_fr_female$Type: Predicted Year: 1933 Ex: 56.963255","Age: 10 ex_fr_female$Type: Predicted Year: 1934 Ex: 57.797616","Age: 10 ex_fr_female$Type: Predicted Year: 1935 Ex: 57.319666","Age: 10 ex_fr_female$Type: Predicted Year: 1936 Ex: 57.942778","Age: 10 ex_fr_female$Type: Predicted Year: 1937 Ex: 58.235742","Age: 10 ex_fr_female$Type: Predicted Year: 1938 Ex: 58.093422","Age: 10 ex_fr_female$Type: Predicted Year: 1939 Ex: 58.402222","Age: 10 ex_fr_female$Type: Predicted Year: 1940 Ex: 56.436788","Age: 10 ex_fr_female$Type: Predicted Year: 1941 Ex: 57.862295","Age: 10 ex_fr_female$Type: Predicted Year: 1942 Ex: 57.926893","Age: 10 ex_fr_female$Type: Predicted Year: 1943 Ex: 54.757623","Age: 10 ex_fr_female$Type: Predicted Year: 1944 Ex: 50.135699","Age: 10 ex_fr_female$Type: Predicted Year: 1945 Ex: 57.585631","Age: 10 ex_fr_female$Type: Predicted Year: 1946 Ex: 61.690202","Age: 10 ex_fr_female$Type: Predicted Year: 1947 Ex: 62.467143","Age: 10 ex_fr_female$Type: Predicted Year: 1948 Ex: 63.363195","Age: 10 ex_fr_female$Type: Predicted Year: 1949 Ex: 62.454486","Age: 10 ex_fr_female$Type: Predicted Year: 1950 Ex: 63.434842","Age: 10 ex_fr_female$Type: Predicted Year: 1951 Ex: 63.046238","Age: 10 ex_fr_female$Type: Predicted Year: 1952 Ex: 64.136674","Age: 10 ex_fr_female$Type: Predicted Year: 1953 Ex: 63.707233","Age: 10 ex_fr_female$Type: Predicted Year: 1954 Ex: 64.686929","Age: 10 ex_fr_female$Type: Predicted Year: 1955 Ex: 64.857426","Age: 10 ex_fr_female$Type: Predicted Year: 1956 Ex: 64.736975","Age: 10 ex_fr_female$Type: Predicted Year: 1957 Ex: 65.194697","Age: 10 ex_fr_female$Type: Predicted Year: 1958 Ex: 66.031392","Age: 10 ex_fr_female$Type: Predicted Year: 1959 Ex: 66.043139","Age: 10 ex_fr_female$Type: Predicted Year: 1960 Ex: 66.057349","Age: 10 ex_fr_female$Type: Predicted Year: 1961 Ex: 66.734777","Age: 10 ex_fr_female$Type: Predicted Year: 1962 Ex: 66.214773","Age: 10 ex_fr_female$Type: Predicted Year: 1963 Ex: 66.137215","Age: 10 ex_fr_female$Type: Predicted Year: 1964 Ex: 66.991086","Age: 10 ex_fr_female$Type: Predicted Year: 1965 Ex: 66.756099","Age: 10 ex_fr_female$Type: Predicted Year: 1966 Ex: 67.189999","Age: 10 ex_fr_female$Type: Predicted Year: 1967 Ex: 67.143414","Age: 10 ex_fr_female$Type: Predicted Year: 1968 Ex: 67.173503","Age: 10 ex_fr_female$Type: Predicted Year: 1969 Ex: 66.943390","Age: 10 ex_fr_female$Type: Predicted Year: 1970 Ex: 67.606580","Age: 10 ex_fr_female$Type: Predicted Year: 1971 Ex: 67.612688","Age: 10 ex_fr_female$Type: Predicted Year: 1972 Ex: 67.831434","Age: 10 ex_fr_female$Type: Predicted Year: 1973 Ex: 67.911874","Age: 10 ex_fr_female$Type: Predicted Year: 1974 Ex: 68.258968","Age: 10 ex_fr_female$Type: Predicted Year: 1975 Ex: 68.311733","Age: 10 ex_fr_female$Type: Predicted Year: 1976 Ex: 68.570543","Age: 10 ex_fr_female$Type: Predicted Year: 1977 Ex: 69.151555","Age: 10 ex_fr_female$Type: Predicted Year: 1978 Ex: 69.198455","Age: 10 ex_fr_female$Type: Predicted Year: 1979 Ex: 69.484650","Age: 10 ex_fr_female$Type: Predicted Year: 1980 Ex: 69.600491","Age: 10 ex_fr_female$Type: Predicted Year: 1981 Ex: 69.657269","Age: 10 ex_fr_female$Type: Predicted Year: 1982 Ex: 70.020657","Age: 10 ex_fr_female$Type: Predicted Year: 1983 Ex: 69.919607","Age: 10 ex_fr_female$Type: Predicted Year: 1984 Ex: 70.409585","Age: 10 ex_fr_female$Type: Predicted Year: 1985 Ex: 70.477763","Age: 10 ex_fr_female$Type: Predicted Year: 1986 Ex: 70.727190","Age: 10 ex_fr_female$Type: Predicted Year: 1987 Ex: 71.264691","Age: 10 ex_fr_female$Type: Predicted Year: 1988 Ex: 71.463410","Age: 10 ex_fr_female$Type: Predicted Year: 1989 Ex: 71.617343","Age: 10 ex_fr_female$Type: Predicted Year: 1990 Ex: 71.886304","Age: 10 ex_fr_female$Type: Predicted Year: 1991 Ex: 72.101300","Age: 10 ex_fr_female$Type: Predicted Year: 1992 Ex: 72.324824","Age: 10 ex_fr_female$Type: Predicted Year: 1993 Ex: 72.294990","Age: 10 ex_fr_female$Type: Predicted Year: 1994 Ex: 72.691367","Age: 10 ex_fr_female$Type: Predicted Year: 1995 Ex: 72.652196","Age: 10 ex_fr_female$Type: Predicted Year: 1996 Ex: 72.767767","Age: 10 ex_fr_female$Type: Predicted Year: 1997 Ex: 73.024326","Age: 10 ex_fr_female$Type: Predicted Year: 1998 Ex: 73.123436","Age: 10 ex_fr_female$Type: Predicted Year: 1999 Ex: 73.201287","Age: 10 ex_fr_female$Type: Predicted Year: 2000 Ex: 73.487311","Age: 10 ex_fr_female$Type: Predicted Year: 2001 Ex: 73.635112","Age: 10 ex_fr_female$Type: Predicted Year: 2002 Ex: 73.703457","Age: 10 ex_fr_female$Type: Predicted Year: 2003 Ex: 73.603143","Age: 10 ex_fr_female$Type: Predicted Year: 2004 Ex: 74.498974","Age: 10 ex_fr_female$Type: Predicted Year: 2005 Ex: 74.432057","Age: 10 ex_fr_female$Type: Predicted Year: 2006 Ex: 74.793822","Age: 10 ex_fr_female$Type: Predicted Year: 2007 Ex: 74.977971","Age: 10 ex_fr_female$Type: Predicted Year: 2008 Ex: 74.947348","Age: 10 ex_fr_female$Type: Predicted Year: 2009 Ex: 75.038760","Age: 10 ex_fr_female$Type: Predicted Year: 2010 Ex: 75.258988","Age: 10 ex_fr_female$Type: Predicted Year: 2011 Ex: 75.578224","Age: 10 ex_fr_female$Type: Predicted Year: 2012 Ex: 75.433074","Age: 10 ex_fr_female$Type: Predicted Year: 2013 Ex: 75.654581","Age: 10 ex_fr_female$Type: Predicted Year: 2014 Ex: 76.026662","Age: 10 ex_fr_female$Type: Predicted Year: 2015 Ex: 75.742607","Age: 10 ex_fr_female$Type: Predicted Year: 2016 Ex: 75.923871","Age: 10 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1989 Ex: 70.380000","Age: 11 ex_fr_female$Type: Observed Year: 1990 Ex: 70.650000","Age: 11 ex_fr_female$Type: Observed Year: 1991 Ex: 70.860000","Age: 11 ex_fr_female$Type: Observed Year: 1992 Ex: 71.080000","Age: 11 ex_fr_female$Type: Observed Year: 1993 Ex: 71.050000","Age: 11 ex_fr_female$Type: Observed Year: 1994 Ex: 71.450000","Age: 11 ex_fr_female$Type: Observed Year: 1995 Ex: 71.410000","Age: 11 ex_fr_female$Type: Observed Year: 1996 Ex: 71.530000","Age: 11 ex_fr_female$Type: Observed Year: 1997 Ex: 71.780000","Age: 11 ex_fr_female$Type: Observed Year: 1998 Ex: 71.880000","Age: 11 ex_fr_female$Type: Observed Year: 1999 Ex: 71.960000","Age: 11 ex_fr_female$Type: Observed Year: 2000 Ex: 72.240000","Age: 11 ex_fr_female$Type: Observed Year: 2001 Ex: 72.390000","Age: 11 ex_fr_female$Type: Observed Year: 2002 Ex: 72.460000","Age: 11 ex_fr_female$Type: Observed Year: 2003 Ex: 72.360000","Age: 11 ex_fr_female$Type: Observed Year: 2004 Ex: 73.260000","Age: 11 ex_fr_female$Type: Observed Year: 2005 Ex: 73.190000","Age: 11 ex_fr_female$Type: Observed Year: 2006 Ex: 73.540000","Age: 11 ex_fr_female$Type: Observed Year: 2007 Ex: 73.730000","Age: 11 ex_fr_female$Type: Observed Year: 2008 Ex: 73.700000","Age: 11 ex_fr_female$Type: Observed Year: 2009 Ex: 73.790000","Age: 11 ex_fr_female$Type: Observed Year: 2010 Ex: 74.010000","Age: 11 ex_fr_female$Type: Observed Year: 2011 Ex: 74.330000","Age: 11 ex_fr_female$Type: Observed Year: 2012 Ex: 74.190000","Age: 11 ex_fr_female$Type: Observed Year: 2013 Ex: 74.410000","Age: 11 ex_fr_female$Type: Observed Year: 2014 Ex: 74.780000","Age: 11 ex_fr_female$Type: Observed Year: 2015 Ex: 74.500000","Age: 11 ex_fr_female$Type: Observed Year: 2016 Ex: 74.680000","Age: 11 ex_fr_female$Type: Observed Year: 2017 Ex: 74.650000"],"frame":"11","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[47.3022510683433,46.9523580352816,46.4789279363901,46.4416831851235,46.9649502615576,47.9405901213859,47.5760399470626,48.4772711976583,48.4164634924518,47.4563536454345,46.4940393403586,47.0562905798536,46.7450343309023,47.0130841349755,46.9972053540637,47.4062717150955,43.4254094082682,46.6521264037767,45.2147819535282,46.7989918226295,48.2374251371968,45.7523880878083,47.0144050650498,47.6167509987807,46.6549956483043,47.6775481150887,46.9598080164326,47.5108692698411,48.0878710996236,48.6005039292325,47.2895801180538,46.2206285923146,46.6794681158096,43.6352648529471,48.3887721506896,48.1523376245124,47.7178536644235,47.357691206791,43.2010810691375,45.3023866420645,47.1830839791279,46.7944011577561,46.4695082176831,45.9050198891032,48.5523847634423,48.0393033451979,48.6104485516817,48.4398411544797,48.0455041661249,47.132619622974,47.2517733371583,48.5371230794171,47.8199773834217,47.9387146622322,44.8193118724608,40.2561684192464,48.8214765933212,48.1911486072669,49.3442279468786,48.3491123756164,48.77726855113,49.3365607455246,48.9735315255596,48.817439165171,48.8690099793581,49.2189600181062,49.0347556531351,49.0128174272785,49.0337322332651,49.2718570648319,48.9296625051605,49.181030507255,49.752124389376,50.4776398388584,49.2944420414242,49.0849826854439,49.4608684391531,49.4872259865237,50.3880969902478,49.9737130586769,51.1259123530159,51.8667045876437,51.0350772146233,50.6863262954511,49.8187046986916,50.9932892833938,51.3791766383241,51.6019285553333,51.5858126749071,51.2761441848895,51.3132883012466,50.8756388300858,51.9295972745251,51.755267218373,52.8163417501405,52.112425011604,53.07430050894,53.1514128899869,52.423584040661,52.2878634081851,52.9205614813898,52.8262936450417,45.187554395617,51.1454546720227,53.5408940015244,53.8934782392833,53.6521258116942,54.5194412698335,54.1977921747216,54.0244350306155,53.9973715470074,54.7209905121703,55.0074592770912,54.0689064130992,55.7700598394484,55.31110352976,55.8972017922071,56.0463173279304,56.8807580140459,56.3918724709464,57.0192278866963,57.3073789115756,57.1602695178018,57.4630517190257,55.5190750955584,56.9340423323138,56.9975715940977,53.8586359201628,49.280349412641,56.667893603746,60.7465232416377,61.5068142268645,62.3977793855195,61.4879506539008,62.4707248617973,62.0762678918715,63.1570412614796,62.7274624657457,63.7049036898175,63.8754488943504,63.7543218094902,64.2147554008676,65.047776765218,65.0614940509802,65.0724292049583,65.751337572758,65.2305465458324,65.1529698435747,66.0083762005785,65.7746528294741,66.2060068961285,66.1594099578795,66.1901738114536,65.9613326311544,66.6233583873749,66.6301392756632,66.8482688841544,66.932100495333,67.2813324560307,67.3259744728987,67.5834775241742,68.1652864149966,68.2121957420154,68.4977585643443,68.6177685312098,68.6738689688496,69.0338676596325,68.9341866170572,69.4207718954385,69.4903597019661,69.7384268407273,70.2738910600352,70.475474762123,70.6308560935314,70.8977271029917,71.1106083468632,71.333443491785,71.3064783116224,71.7021961335324,71.6586898730905,71.7757167459227,72.033755273912,72.1306990481483,72.2100117072791,72.4931506738118,72.6431569063312,72.712973945352,72.6089919809625,73.5056341148639,73.438711574783,73.7975371939114,73.9824401574497,73.9540489008964,74.0439774140641,74.2642213361009,74.5827288901591,74.4375702077961,74.6590900649048,75.0311941920671,74.7478745366923,74.9291505402411,74.8976418959388],"text":["Age: 11 ex_fr_female$Type: Predicted Year: 1816 Ex: 47.302251","Age: 11 ex_fr_female$Type: Predicted Year: 1817 Ex: 46.952358","Age: 11 ex_fr_female$Type: Predicted Year: 1818 Ex: 46.478928","Age: 11 ex_fr_female$Type: Predicted Year: 1819 Ex: 46.441683","Age: 11 ex_fr_female$Type: Predicted Year: 1820 Ex: 46.964950","Age: 11 ex_fr_female$Type: Predicted Year: 1821 Ex: 47.940590","Age: 11 ex_fr_female$Type: Predicted Year: 1822 Ex: 47.576040","Age: 11 ex_fr_female$Type: Predicted Year: 1823 Ex: 48.477271","Age: 11 ex_fr_female$Type: Predicted Year: 1824 Ex: 48.416463","Age: 11 ex_fr_female$Type: Predicted Year: 1825 Ex: 47.456354","Age: 11 ex_fr_female$Type: Predicted Year: 1826 Ex: 46.494039","Age: 11 ex_fr_female$Type: Predicted Year: 1827 Ex: 47.056291","Age: 11 ex_fr_female$Type: Predicted Year: 1828 Ex: 46.745034","Age: 11 ex_fr_female$Type: Predicted Year: 1829 Ex: 47.013084","Age: 11 ex_fr_female$Type: Predicted Year: 1830 Ex: 46.997205","Age: 11 ex_fr_female$Type: Predicted Year: 1831 Ex: 47.406272","Age: 11 ex_fr_female$Type: Predicted Year: 1832 Ex: 43.425409","Age: 11 ex_fr_female$Type: Predicted Year: 1833 Ex: 46.652126","Age: 11 ex_fr_female$Type: Predicted Year: 1834 Ex: 45.214782","Age: 11 ex_fr_female$Type: Predicted Year: 1835 Ex: 46.798992","Age: 11 ex_fr_female$Type: Predicted Year: 1836 Ex: 48.237425","Age: 11 ex_fr_female$Type: Predicted Year: 1837 Ex: 45.752388","Age: 11 ex_fr_female$Type: Predicted Year: 1838 Ex: 47.014405","Age: 11 ex_fr_female$Type: Predicted Year: 1839 Ex: 47.616751","Age: 11 ex_fr_female$Type: Predicted Year: 1840 Ex: 46.654996","Age: 11 ex_fr_female$Type: Predicted Year: 1841 Ex: 47.677548","Age: 11 ex_fr_female$Type: Predicted Year: 1842 Ex: 46.959808","Age: 11 ex_fr_female$Type: Predicted Year: 1843 Ex: 47.510869","Age: 11 ex_fr_female$Type: Predicted Year: 1844 Ex: 48.087871","Age: 11 ex_fr_female$Type: Predicted Year: 1845 Ex: 48.600504","Age: 11 ex_fr_female$Type: Predicted Year: 1846 Ex: 47.289580","Age: 11 ex_fr_female$Type: Predicted Year: 1847 Ex: 46.220629","Age: 11 ex_fr_female$Type: Predicted Year: 1848 Ex: 46.679468","Age: 11 ex_fr_female$Type: Predicted Year: 1849 Ex: 43.635265","Age: 11 ex_fr_female$Type: Predicted Year: 1850 Ex: 48.388772","Age: 11 ex_fr_female$Type: Predicted Year: 1851 Ex: 48.152338","Age: 11 ex_fr_female$Type: Predicted Year: 1852 Ex: 47.717854","Age: 11 ex_fr_female$Type: Predicted Year: 1853 Ex: 47.357691","Age: 11 ex_fr_female$Type: Predicted Year: 1854 Ex: 43.201081","Age: 11 ex_fr_female$Type: Predicted Year: 1855 Ex: 45.302387","Age: 11 ex_fr_female$Type: Predicted Year: 1856 Ex: 47.183084","Age: 11 ex_fr_female$Type: Predicted Year: 1857 Ex: 46.794401","Age: 11 ex_fr_female$Type: Predicted Year: 1858 Ex: 46.469508","Age: 11 ex_fr_female$Type: Predicted Year: 1859 Ex: 45.905020","Age: 11 ex_fr_female$Type: Predicted Year: 1860 Ex: 48.552385","Age: 11 ex_fr_female$Type: Predicted Year: 1861 Ex: 48.039303","Age: 11 ex_fr_female$Type: Predicted Year: 1862 Ex: 48.610449","Age: 11 ex_fr_female$Type: Predicted Year: 1863 Ex: 48.439841","Age: 11 ex_fr_female$Type: Predicted Year: 1864 Ex: 48.045504","Age: 11 ex_fr_female$Type: Predicted Year: 1865 Ex: 47.132620","Age: 11 ex_fr_female$Type: Predicted Year: 1866 Ex: 47.251773","Age: 11 ex_fr_female$Type: Predicted Year: 1867 Ex: 48.537123","Age: 11 ex_fr_female$Type: Predicted Year: 1868 Ex: 47.819977","Age: 11 ex_fr_female$Type: Predicted Year: 1869 Ex: 47.938715","Age: 11 ex_fr_female$Type: Predicted Year: 1870 Ex: 44.819312","Age: 11 ex_fr_female$Type: Predicted Year: 1871 Ex: 40.256168","Age: 11 ex_fr_female$Type: Predicted Year: 1872 Ex: 48.821477","Age: 11 ex_fr_female$Type: Predicted Year: 1873 Ex: 48.191149","Age: 11 ex_fr_female$Type: Predicted Year: 1874 Ex: 49.344228","Age: 11 ex_fr_female$Type: Predicted Year: 1875 Ex: 48.349112","Age: 11 ex_fr_female$Type: Predicted Year: 1876 Ex: 48.777269","Age: 11 ex_fr_female$Type: Predicted Year: 1877 Ex: 49.336561","Age: 11 ex_fr_female$Type: Predicted Year: 1878 Ex: 48.973532","Age: 11 ex_fr_female$Type: Predicted Year: 1879 Ex: 48.817439","Age: 11 ex_fr_female$Type: Predicted Year: 1880 Ex: 48.869010","Age: 11 ex_fr_female$Type: Predicted Year: 1881 Ex: 49.218960","Age: 11 ex_fr_female$Type: Predicted Year: 1882 Ex: 49.034756","Age: 11 ex_fr_female$Type: Predicted Year: 1883 Ex: 49.012817","Age: 11 ex_fr_female$Type: Predicted Year: 1884 Ex: 49.033732","Age: 11 ex_fr_female$Type: Predicted Year: 1885 Ex: 49.271857","Age: 11 ex_fr_female$Type: Predicted Year: 1886 Ex: 48.929663","Age: 11 ex_fr_female$Type: Predicted Year: 1887 Ex: 49.181031","Age: 11 ex_fr_female$Type: Predicted Year: 1888 Ex: 49.752124","Age: 11 ex_fr_female$Type: Predicted Year: 1889 Ex: 50.477640","Age: 11 ex_fr_female$Type: Predicted Year: 1890 Ex: 49.294442","Age: 11 ex_fr_female$Type: Predicted Year: 1891 Ex: 49.084983","Age: 11 ex_fr_female$Type: Predicted Year: 1892 Ex: 49.460868","Age: 11 ex_fr_female$Type: Predicted Year: 1893 Ex: 49.487226","Age: 11 ex_fr_female$Type: Predicted Year: 1894 Ex: 50.388097","Age: 11 ex_fr_female$Type: Predicted Year: 1895 Ex: 49.973713","Age: 11 ex_fr_female$Type: Predicted Year: 1896 Ex: 51.125912","Age: 11 ex_fr_female$Type: Predicted Year: 1897 Ex: 51.866705","Age: 11 ex_fr_female$Type: Predicted Year: 1898 Ex: 51.035077","Age: 11 ex_fr_female$Type: Predicted Year: 1899 Ex: 50.686326","Age: 11 ex_fr_female$Type: Predicted Year: 1900 Ex: 49.818705","Age: 11 ex_fr_female$Type: Predicted Year: 1901 Ex: 50.993289","Age: 11 ex_fr_female$Type: Predicted Year: 1902 Ex: 51.379177","Age: 11 ex_fr_female$Type: Predicted Year: 1903 Ex: 51.601929","Age: 11 ex_fr_female$Type: Predicted Year: 1904 Ex: 51.585813","Age: 11 ex_fr_female$Type: Predicted Year: 1905 Ex: 51.276144","Age: 11 ex_fr_female$Type: Predicted Year: 1906 Ex: 51.313288","Age: 11 ex_fr_female$Type: Predicted Year: 1907 Ex: 50.875639","Age: 11 ex_fr_female$Type: Predicted Year: 1908 Ex: 51.929597","Age: 11 ex_fr_female$Type: Predicted Year: 1909 Ex: 51.755267","Age: 11 ex_fr_female$Type: Predicted Year: 1910 Ex: 52.816342","Age: 11 ex_fr_female$Type: Predicted Year: 1911 Ex: 52.112425","Age: 11 ex_fr_female$Type: Predicted Year: 1912 Ex: 53.074301","Age: 11 ex_fr_female$Type: Predicted Year: 1913 Ex: 53.151413","Age: 11 ex_fr_female$Type: Predicted Year: 1914 Ex: 52.423584","Age: 11 ex_fr_female$Type: Predicted Year: 1915 Ex: 52.287863","Age: 11 ex_fr_female$Type: Predicted Year: 1916 Ex: 52.920561","Age: 11 ex_fr_female$Type: Predicted Year: 1917 Ex: 52.826294","Age: 11 ex_fr_female$Type: Predicted Year: 1918 Ex: 45.187554","Age: 11 ex_fr_female$Type: Predicted Year: 1919 Ex: 51.145455","Age: 11 ex_fr_female$Type: Predicted Year: 1920 Ex: 53.540894","Age: 11 ex_fr_female$Type: Predicted Year: 1921 Ex: 53.893478","Age: 11 ex_fr_female$Type: Predicted Year: 1922 Ex: 53.652126","Age: 11 ex_fr_female$Type: Predicted Year: 1923 Ex: 54.519441","Age: 11 ex_fr_female$Type: Predicted Year: 1924 Ex: 54.197792","Age: 11 ex_fr_female$Type: Predicted Year: 1925 Ex: 54.024435","Age: 11 ex_fr_female$Type: Predicted Year: 1926 Ex: 53.997372","Age: 11 ex_fr_female$Type: Predicted Year: 1927 Ex: 54.720991","Age: 11 ex_fr_female$Type: Predicted Year: 1928 Ex: 55.007459","Age: 11 ex_fr_female$Type: Predicted Year: 1929 Ex: 54.068906","Age: 11 ex_fr_female$Type: Predicted Year: 1930 Ex: 55.770060","Age: 11 ex_fr_female$Type: Predicted Year: 1931 Ex: 55.311104","Age: 11 ex_fr_female$Type: Predicted Year: 1932 Ex: 55.897202","Age: 11 ex_fr_female$Type: Predicted Year: 1933 Ex: 56.046317","Age: 11 ex_fr_female$Type: Predicted Year: 1934 Ex: 56.880758","Age: 11 ex_fr_female$Type: Predicted Year: 1935 Ex: 56.391872","Age: 11 ex_fr_female$Type: Predicted Year: 1936 Ex: 57.019228","Age: 11 ex_fr_female$Type: Predicted Year: 1937 Ex: 57.307379","Age: 11 ex_fr_female$Type: Predicted Year: 1938 Ex: 57.160270","Age: 11 ex_fr_female$Type: Predicted Year: 1939 Ex: 57.463052","Age: 11 ex_fr_female$Type: Predicted Year: 1940 Ex: 55.519075","Age: 11 ex_fr_female$Type: Predicted Year: 1941 Ex: 56.934042","Age: 11 ex_fr_female$Type: Predicted Year: 1942 Ex: 56.997572","Age: 11 ex_fr_female$Type: Predicted Year: 1943 Ex: 53.858636","Age: 11 ex_fr_female$Type: Predicted Year: 1944 Ex: 49.280349","Age: 11 ex_fr_female$Type: Predicted Year: 1945 Ex: 56.667894","Age: 11 ex_fr_female$Type: Predicted Year: 1946 Ex: 60.746523","Age: 11 ex_fr_female$Type: Predicted Year: 1947 Ex: 61.506814","Age: 11 ex_fr_female$Type: Predicted Year: 1948 Ex: 62.397779","Age: 11 ex_fr_female$Type: Predicted Year: 1949 Ex: 61.487951","Age: 11 ex_fr_female$Type: Predicted Year: 1950 Ex: 62.470725","Age: 11 ex_fr_female$Type: Predicted Year: 1951 Ex: 62.076268","Age: 11 ex_fr_female$Type: Predicted Year: 1952 Ex: 63.157041","Age: 11 ex_fr_female$Type: Predicted Year: 1953 Ex: 62.727462","Age: 11 ex_fr_female$Type: Predicted Year: 1954 Ex: 63.704904","Age: 11 ex_fr_female$Type: Predicted Year: 1955 Ex: 63.875449","Age: 11 ex_fr_female$Type: Predicted Year: 1956 Ex: 63.754322","Age: 11 ex_fr_female$Type: Predicted Year: 1957 Ex: 64.214755","Age: 11 ex_fr_female$Type: Predicted Year: 1958 Ex: 65.047777","Age: 11 ex_fr_female$Type: Predicted Year: 1959 Ex: 65.061494","Age: 11 ex_fr_female$Type: Predicted Year: 1960 Ex: 65.072429","Age: 11 ex_fr_female$Type: Predicted Year: 1961 Ex: 65.751338","Age: 11 ex_fr_female$Type: Predicted Year: 1962 Ex: 65.230547","Age: 11 ex_fr_female$Type: Predicted Year: 1963 Ex: 65.152970","Age: 11 ex_fr_female$Type: Predicted Year: 1964 Ex: 66.008376","Age: 11 ex_fr_female$Type: Predicted Year: 1965 Ex: 65.774653","Age: 11 ex_fr_female$Type: Predicted Year: 1966 Ex: 66.206007","Age: 11 ex_fr_female$Type: Predicted Year: 1967 Ex: 66.159410","Age: 11 ex_fr_female$Type: Predicted Year: 1968 Ex: 66.190174","Age: 11 ex_fr_female$Type: Predicted Year: 1969 Ex: 65.961333","Age: 11 ex_fr_female$Type: Predicted Year: 1970 Ex: 66.623358","Age: 11 ex_fr_female$Type: Predicted Year: 1971 Ex: 66.630139","Age: 11 ex_fr_female$Type: Predicted Year: 1972 Ex: 66.848269","Age: 11 ex_fr_female$Type: Predicted Year: 1973 Ex: 66.932100","Age: 11 ex_fr_female$Type: Predicted Year: 1974 Ex: 67.281332","Age: 11 ex_fr_female$Type: Predicted Year: 1975 Ex: 67.325974","Age: 11 ex_fr_female$Type: Predicted Year: 1976 Ex: 67.583478","Age: 11 ex_fr_female$Type: Predicted Year: 1977 Ex: 68.165286","Age: 11 ex_fr_female$Type: Predicted Year: 1978 Ex: 68.212196","Age: 11 ex_fr_female$Type: Predicted Year: 1979 Ex: 68.497759","Age: 11 ex_fr_female$Type: Predicted Year: 1980 Ex: 68.617769","Age: 11 ex_fr_female$Type: Predicted Year: 1981 Ex: 68.673869","Age: 11 ex_fr_female$Type: Predicted Year: 1982 Ex: 69.033868","Age: 11 ex_fr_female$Type: Predicted Year: 1983 Ex: 68.934187","Age: 11 ex_fr_female$Type: Predicted Year: 1984 Ex: 69.420772","Age: 11 ex_fr_female$Type: Predicted Year: 1985 Ex: 69.490360","Age: 11 ex_fr_female$Type: Predicted Year: 1986 Ex: 69.738427","Age: 11 ex_fr_female$Type: Predicted Year: 1987 Ex: 70.273891","Age: 11 ex_fr_female$Type: Predicted Year: 1988 Ex: 70.475475","Age: 11 ex_fr_female$Type: Predicted Year: 1989 Ex: 70.630856","Age: 11 ex_fr_female$Type: Predicted Year: 1990 Ex: 70.897727","Age: 11 ex_fr_female$Type: Predicted Year: 1991 Ex: 71.110608","Age: 11 ex_fr_female$Type: Predicted Year: 1992 Ex: 71.333443","Age: 11 ex_fr_female$Type: Predicted Year: 1993 Ex: 71.306478","Age: 11 ex_fr_female$Type: Predicted Year: 1994 Ex: 71.702196","Age: 11 ex_fr_female$Type: Predicted Year: 1995 Ex: 71.658690","Age: 11 ex_fr_female$Type: Predicted Year: 1996 Ex: 71.775717","Age: 11 ex_fr_female$Type: Predicted Year: 1997 Ex: 72.033755","Age: 11 ex_fr_female$Type: Predicted Year: 1998 Ex: 72.130699","Age: 11 ex_fr_female$Type: Predicted Year: 1999 Ex: 72.210012","Age: 11 ex_fr_female$Type: Predicted Year: 2000 Ex: 72.493151","Age: 11 ex_fr_female$Type: Predicted Year: 2001 Ex: 72.643157","Age: 11 ex_fr_female$Type: Predicted Year: 2002 Ex: 72.712974","Age: 11 ex_fr_female$Type: Predicted Year: 2003 Ex: 72.608992","Age: 11 ex_fr_female$Type: Predicted Year: 2004 Ex: 73.505634","Age: 11 ex_fr_female$Type: Predicted Year: 2005 Ex: 73.438712","Age: 11 ex_fr_female$Type: Predicted Year: 2006 Ex: 73.797537","Age: 11 ex_fr_female$Type: Predicted Year: 2007 Ex: 73.982440","Age: 11 ex_fr_female$Type: Predicted Year: 2008 Ex: 73.954049","Age: 11 ex_fr_female$Type: Predicted Year: 2009 Ex: 74.043977","Age: 11 ex_fr_female$Type: Predicted Year: 2010 Ex: 74.264221","Age: 11 ex_fr_female$Type: Predicted Year: 2011 Ex: 74.582729","Age: 11 ex_fr_female$Type: Predicted Year: 2012 Ex: 74.437570","Age: 11 ex_fr_female$Type: Predicted Year: 2013 Ex: 74.659090","Age: 11 ex_fr_female$Type: Predicted Year: 2014 Ex: 75.031194","Age: 11 ex_fr_female$Type: Predicted Year: 2015 Ex: 74.747875","Age: 11 ex_fr_female$Type: Predicted Year: 2016 Ex: 74.929151","Age: 11 ex_fr_female$Type: Predicted Year: 2017 Ex: 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49.300000","Age: 12 ex_fr_female$Type: Observed Year: 1895 Ex: 48.880000","Age: 12 ex_fr_female$Type: Observed Year: 1896 Ex: 50.040000","Age: 12 ex_fr_female$Type: Observed Year: 1897 Ex: 50.780000","Age: 12 ex_fr_female$Type: Observed Year: 1898 Ex: 49.960000","Age: 12 ex_fr_female$Type: Observed Year: 1899 Ex: 49.630000","Age: 12 ex_fr_female$Type: Observed Year: 1900 Ex: 48.740000","Age: 12 ex_fr_female$Type: Observed Year: 1901 Ex: 49.920000","Age: 12 ex_fr_female$Type: Observed Year: 1902 Ex: 50.300000","Age: 12 ex_fr_female$Type: Observed Year: 1903 Ex: 50.520000","Age: 12 ex_fr_female$Type: Observed Year: 1904 Ex: 50.500000","Age: 12 ex_fr_female$Type: Observed Year: 1905 Ex: 50.180000","Age: 12 ex_fr_female$Type: Observed Year: 1906 Ex: 50.220000","Age: 12 ex_fr_female$Type: Observed Year: 1907 Ex: 49.770000","Age: 12 ex_fr_female$Type: Observed Year: 1908 Ex: 50.820000","Age: 12 ex_fr_female$Type: Observed Year: 1909 Ex: 50.640000","Age: 12 ex_fr_female$Type: Observed Year: 1910 Ex: 51.700000","Age: 12 ex_fr_female$Type: Observed Year: 1911 Ex: 51.010000","Age: 12 ex_fr_female$Type: Observed Year: 1912 Ex: 51.950000","Age: 12 ex_fr_female$Type: Observed Year: 1913 Ex: 52.030000","Age: 12 ex_fr_female$Type: Observed Year: 1914 Ex: 51.320000","Age: 12 ex_fr_female$Type: Observed Year: 1915 Ex: 51.200000","Age: 12 ex_fr_female$Type: Observed Year: 1916 Ex: 51.830000","Age: 12 ex_fr_female$Type: Observed Year: 1917 Ex: 51.730000","Age: 12 ex_fr_female$Type: Observed Year: 1918 Ex: 44.160000","Age: 12 ex_fr_female$Type: Observed Year: 1919 Ex: 50.060000","Age: 12 ex_fr_female$Type: Observed Year: 1920 Ex: 52.430000","Age: 12 ex_fr_female$Type: Observed Year: 1921 Ex: 52.770000","Age: 12 ex_fr_female$Type: Observed Year: 1922 Ex: 52.510000","Age: 12 ex_fr_female$Type: Observed Year: 1923 Ex: 53.390000","Age: 12 ex_fr_female$Type: Observed Year: 1924 Ex: 53.050000","Age: 12 ex_fr_female$Type: Observed Year: 1925 Ex: 52.880000","Age: 12 ex_fr_female$Type: Observed Year: 1926 Ex: 52.850000","Age: 12 ex_fr_female$Type: Observed Year: 1927 Ex: 53.590000","Age: 12 ex_fr_female$Type: Observed Year: 1928 Ex: 53.860000","Age: 12 ex_fr_female$Type: Observed Year: 1929 Ex: 52.920000","Age: 12 ex_fr_female$Type: Observed Year: 1930 Ex: 54.620000","Age: 12 ex_fr_female$Type: Observed Year: 1931 Ex: 54.170000","Age: 12 ex_fr_female$Type: Observed Year: 1932 Ex: 54.750000","Age: 12 ex_fr_female$Type: Observed Year: 1933 Ex: 54.890000","Age: 12 ex_fr_female$Type: Observed Year: 1934 Ex: 55.710000","Age: 12 ex_fr_female$Type: Observed Year: 1935 Ex: 55.230000","Age: 12 ex_fr_female$Type: Observed Year: 1936 Ex: 55.850000","Age: 12 ex_fr_female$Type: Observed Year: 1937 Ex: 56.140000","Age: 12 ex_fr_female$Type: Observed Year: 1938 Ex: 55.990000","Age: 12 ex_fr_female$Type: Observed Year: 1939 Ex: 56.280000","Age: 12 ex_fr_female$Type: Observed Year: 1940 Ex: 54.360000","Age: 12 ex_fr_female$Type: Observed Year: 1941 Ex: 55.770000","Age: 12 ex_fr_female$Type: Observed Year: 1942 Ex: 55.830000","Age: 12 ex_fr_female$Type: Observed Year: 1943 Ex: 52.700000","Age: 12 ex_fr_female$Type: Observed Year: 1944 Ex: 48.170000","Age: 12 ex_fr_female$Type: Observed Year: 1945 Ex: 55.520000","Age: 12 ex_fr_female$Type: Observed Year: 1946 Ex: 59.560000","Age: 12 ex_fr_female$Type: Observed Year: 1947 Ex: 60.300000","Age: 12 ex_fr_female$Type: Observed Year: 1948 Ex: 61.180000","Age: 12 ex_fr_female$Type: Observed Year: 1949 Ex: 60.270000","Age: 12 ex_fr_female$Type: Observed Year: 1950 Ex: 61.250000","Age: 12 ex_fr_female$Type: Observed Year: 1951 Ex: 60.850000","Age: 12 ex_fr_female$Type: Observed Year: 1952 Ex: 61.930000","Age: 12 ex_fr_female$Type: Observed Year: 1953 Ex: 61.500000","Age: 12 ex_fr_female$Type: Observed Year: 1954 Ex: 62.480000","Age: 12 ex_fr_female$Type: Observed Year: 1955 Ex: 62.640000","Age: 12 ex_fr_female$Type: Observed Year: 1956 Ex: 62.520000","Age: 12 ex_fr_female$Type: Observed Year: 1957 Ex: 62.980000","Age: 12 ex_fr_female$Type: Observed Year: 1958 Ex: 63.810000","Age: 12 ex_fr_female$Type: Observed Year: 1959 Ex: 63.830000","Age: 12 ex_fr_female$Type: Observed Year: 1960 Ex: 63.840000","Age: 12 ex_fr_female$Type: Observed Year: 1961 Ex: 64.510000","Age: 12 ex_fr_female$Type: Observed Year: 1962 Ex: 63.990000","Age: 12 ex_fr_female$Type: Observed Year: 1963 Ex: 63.920000","Age: 12 ex_fr_female$Type: Observed Year: 1964 Ex: 64.770000","Age: 12 ex_fr_female$Type: Observed Year: 1965 Ex: 64.540000","Age: 12 ex_fr_female$Type: Observed Year: 1966 Ex: 64.970000","Age: 12 ex_fr_female$Type: Observed Year: 1967 Ex: 64.920000","Age: 12 ex_fr_female$Type: Observed Year: 1968 Ex: 64.960000","Age: 12 ex_fr_female$Type: Observed Year: 1969 Ex: 64.730000","Age: 12 ex_fr_female$Type: Observed Year: 1970 Ex: 65.390000","Age: 12 ex_fr_female$Type: Observed Year: 1971 Ex: 65.400000","Age: 12 ex_fr_female$Type: Observed Year: 1972 Ex: 65.610000","Age: 12 ex_fr_female$Type: Observed Year: 1973 Ex: 65.700000","Age: 12 ex_fr_female$Type: Observed Year: 1974 Ex: 66.040000","Age: 12 ex_fr_female$Type: Observed Year: 1975 Ex: 66.090000","Age: 12 ex_fr_female$Type: Observed Year: 1976 Ex: 66.350000","Age: 12 ex_fr_female$Type: Observed Year: 1977 Ex: 66.930000","Age: 12 ex_fr_female$Type: Observed Year: 1978 Ex: 66.970000","Age: 12 ex_fr_female$Type: Observed Year: 1979 Ex: 67.260000","Age: 12 ex_fr_female$Type: Observed Year: 1980 Ex: 67.380000","Age: 12 ex_fr_female$Type: Observed Year: 1981 Ex: 67.430000","Age: 12 ex_fr_female$Type: Observed Year: 1982 Ex: 67.790000","Age: 12 ex_fr_female$Type: Observed Year: 1983 Ex: 67.700000","Age: 12 ex_fr_female$Type: Observed Year: 1984 Ex: 68.180000","Age: 12 ex_fr_female$Type: Observed Year: 1985 Ex: 68.250000","Age: 12 ex_fr_female$Type: Observed Year: 1986 Ex: 68.500000","Age: 12 ex_fr_female$Type: Observed Year: 1987 Ex: 69.030000","Age: 12 ex_fr_female$Type: Observed Year: 1988 Ex: 69.240000","Age: 12 ex_fr_female$Type: Observed Year: 1989 Ex: 69.390000","Age: 12 ex_fr_female$Type: Observed Year: 1990 Ex: 69.660000","Age: 12 ex_fr_female$Type: Observed Year: 1991 Ex: 69.870000","Age: 12 ex_fr_female$Type: Observed Year: 1992 Ex: 70.090000","Age: 12 ex_fr_female$Type: Observed Year: 1993 Ex: 70.060000","Age: 12 ex_fr_female$Type: Observed Year: 1994 Ex: 70.460000","Age: 12 ex_fr_female$Type: Observed Year: 1995 Ex: 70.420000","Age: 12 ex_fr_female$Type: Observed Year: 1996 Ex: 70.530000","Age: 12 ex_fr_female$Type: Observed Year: 1997 Ex: 70.790000","Age: 12 ex_fr_female$Type: Observed Year: 1998 Ex: 70.890000","Age: 12 ex_fr_female$Type: Observed Year: 1999 Ex: 70.970000","Age: 12 ex_fr_female$Type: Observed Year: 2000 Ex: 71.250000","Age: 12 ex_fr_female$Type: Observed Year: 2001 Ex: 71.400000","Age: 12 ex_fr_female$Type: Observed Year: 2002 Ex: 71.470000","Age: 12 ex_fr_female$Type: Observed Year: 2003 Ex: 71.360000","Age: 12 ex_fr_female$Type: Observed Year: 2004 Ex: 72.260000","Age: 12 ex_fr_female$Type: Observed Year: 2005 Ex: 72.190000","Age: 12 ex_fr_female$Type: Observed Year: 2006 Ex: 72.550000","Age: 12 ex_fr_female$Type: Observed Year: 2007 Ex: 72.740000","Age: 12 ex_fr_female$Type: Observed Year: 2008 Ex: 72.710000","Age: 12 ex_fr_female$Type: Observed Year: 2009 Ex: 72.800000","Age: 12 ex_fr_female$Type: Observed Year: 2010 Ex: 73.020000","Age: 12 ex_fr_female$Type: Observed Year: 2011 Ex: 73.340000","Age: 12 ex_fr_female$Type: Observed Year: 2012 Ex: 73.190000","Age: 12 ex_fr_female$Type: Observed Year: 2013 Ex: 73.410000","Age: 12 ex_fr_female$Type: Observed Year: 2014 Ex: 73.790000","Age: 12 ex_fr_female$Type: Observed Year: 2015 Ex: 73.500000","Age: 12 ex_fr_female$Type: Observed Year: 2016 Ex: 73.680000","Age: 12 ex_fr_female$Type: Observed Year: 2017 Ex: 73.660000"],"frame":"12","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[46.5537852456648,46.2197620198398,45.7616452933392,45.7477521103043,46.2497210825137,47.2132057465475,46.8631350390202,47.7606919992733,47.6937414336636,46.7535860050318,45.8217604295417,46.3495850292662,46.026130961739,46.2817733244587,46.2662704818503,46.6828938618919,42.7329949116905,45.9507707470882,44.543296520744,46.0813480558601,47.4896660224024,45.0142498382249,46.2924595215178,46.8969842237154,45.9494778741056,46.9605159265733,46.2454822310411,46.7862167610513,47.3441059580233,47.860466243849,46.5655140950403,45.4957778115261,45.9592370052752,42.9482643108743,47.6374801441332,47.4170648694206,46.9887144492285,46.6246009164209,42.5006084740911,44.6139467372237,46.4710705041641,46.0860457610813,45.7498550821145,45.223056877017,47.8087052629124,47.3029246054815,47.8612750330019,47.6695425816089,47.2632847487954,46.3733976173678,46.4898771293433,47.7446102146658,47.0362495809004,47.159342154046,44.0846903190023,39.5915287473461,48.0452387056618,47.4239714245443,48.5429388955688,47.5524236319525,47.9804597806267,48.5322984639435,48.1556487385548,48.0062453499755,48.0687016653462,48.4259672639442,48.2570674689691,48.2452642424692,48.2506764646615,48.4580325044614,48.1271731657508,48.390321056359,48.9351893563743,49.651865177587,48.469439389185,48.2650803019706,48.6266363221998,48.6525915791218,49.5454923935273,49.1198761026899,50.276494927828,51.0194905874788,50.2000905380601,49.8648045527066,48.9807357810784,50.1551267490457,50.5427613487934,50.755464645134,50.7372508088631,50.4210627047072,50.4598416083164,50.0123420441704,51.0629726525807,50.8779138697734,51.9394297816904,51.2519669407397,52.1953606192374,52.2684289143898,51.554076004017,51.4356694424973,52.0659678244784,51.966716278339,44.4075102793942,50.2930476929637,52.6678134068775,53.0067925262948,52.7484183041191,53.624881985007,53.292921456285,53.1187210079294,53.0921457698328,53.8328009173426,54.1018388199451,53.1595144287106,54.8596699205539,54.4049107219452,54.9847985724952,55.1280304735645,55.9552297659807,55.471295320078,56.0893552082152,56.376157451075,56.2311391482181,56.5217538939164,54.5950538445271,56.0074543051281,56.0659750398112,52.944078091372,48.4166367082797,55.7555839162116,59.8025785739819,60.5489234563652,61.4256396548036,60.5233339264291,61.4992379532447,61.1009033261151,62.1833627463212,61.7480009172039,62.7308230137918,62.8931965047063,62.7733009529045,63.232598030348,64.0639157267795,64.0802195994595,64.0892202193835,64.7669997732395,64.2460837414669,64.1691351066935,65.0247553420214,64.789667726338,65.2204638079059,65.175826862482,65.2079125531128,64.9809739771457,65.6392298979691,65.6466738773073,65.8641943797461,65.9473816357781,66.2953580085295,66.3406778046492,66.5982375128283,67.1794976173199,67.2257395355432,67.5106793659477,67.632756088918,67.6868232346089,68.0475758039788,67.9471903478689,68.4338680862367,68.5000190284772,68.7501983738706,69.2857536298338,69.4866717338427,69.6420779282532,69.9082875540909,70.1219069480868,70.3433608680902,70.3163919125381,70.710028805904,70.6714995901422,70.7842703451482,71.0409090071261,71.139295247806,71.21933461479,71.5017903702745,71.6496500826457,71.7201956038295,71.6133186502814,72.5122049176204,72.4438174632993,72.8034012314484,72.987584108299,72.9599254598708,73.0491256726721,73.2701227098628,73.5879148626905,73.4434854500224,73.6642813829055,74.0371569261118,73.7523295428147,73.9343607631367,73.9035939453724],"text":["Age: 12 ex_fr_female$Type: Predicted Year: 1816 Ex: 46.553785","Age: 12 ex_fr_female$Type: Predicted Year: 1817 Ex: 46.219762","Age: 12 ex_fr_female$Type: Predicted Year: 1818 Ex: 45.761645","Age: 12 ex_fr_female$Type: Predicted Year: 1819 Ex: 45.747752","Age: 12 ex_fr_female$Type: Predicted Year: 1820 Ex: 46.249721","Age: 12 ex_fr_female$Type: Predicted Year: 1821 Ex: 47.213206","Age: 12 ex_fr_female$Type: Predicted Year: 1822 Ex: 46.863135","Age: 12 ex_fr_female$Type: Predicted Year: 1823 Ex: 47.760692","Age: 12 ex_fr_female$Type: Predicted Year: 1824 Ex: 47.693741","Age: 12 ex_fr_female$Type: Predicted Year: 1825 Ex: 46.753586","Age: 12 ex_fr_female$Type: Predicted Year: 1826 Ex: 45.821760","Age: 12 ex_fr_female$Type: Predicted Year: 1827 Ex: 46.349585","Age: 12 ex_fr_female$Type: Predicted Year: 1828 Ex: 46.026131","Age: 12 ex_fr_female$Type: Predicted Year: 1829 Ex: 46.281773","Age: 12 ex_fr_female$Type: Predicted Year: 1830 Ex: 46.266270","Age: 12 ex_fr_female$Type: Predicted Year: 1831 Ex: 46.682894","Age: 12 ex_fr_female$Type: Predicted Year: 1832 Ex: 42.732995","Age: 12 ex_fr_female$Type: Predicted Year: 1833 Ex: 45.950771","Age: 12 ex_fr_female$Type: Predicted Year: 1834 Ex: 44.543297","Age: 12 ex_fr_female$Type: Predicted Year: 1835 Ex: 46.081348","Age: 12 ex_fr_female$Type: Predicted Year: 1836 Ex: 47.489666","Age: 12 ex_fr_female$Type: Predicted Year: 1837 Ex: 45.014250","Age: 12 ex_fr_female$Type: Predicted Year: 1838 Ex: 46.292460","Age: 12 ex_fr_female$Type: Predicted Year: 1839 Ex: 46.896984","Age: 12 ex_fr_female$Type: Predicted Year: 1840 Ex: 45.949478","Age: 12 ex_fr_female$Type: Predicted Year: 1841 Ex: 46.960516","Age: 12 ex_fr_female$Type: Predicted Year: 1842 Ex: 46.245482","Age: 12 ex_fr_female$Type: Predicted Year: 1843 Ex: 46.786217","Age: 12 ex_fr_female$Type: Predicted Year: 1844 Ex: 47.344106","Age: 12 ex_fr_female$Type: Predicted Year: 1845 Ex: 47.860466","Age: 12 ex_fr_female$Type: Predicted Year: 1846 Ex: 46.565514","Age: 12 ex_fr_female$Type: Predicted Year: 1847 Ex: 45.495778","Age: 12 ex_fr_female$Type: Predicted Year: 1848 Ex: 45.959237","Age: 12 ex_fr_female$Type: Predicted Year: 1849 Ex: 42.948264","Age: 12 ex_fr_female$Type: Predicted Year: 1850 Ex: 47.637480","Age: 12 ex_fr_female$Type: Predicted Year: 1851 Ex: 47.417065","Age: 12 ex_fr_female$Type: Predicted Year: 1852 Ex: 46.988714","Age: 12 ex_fr_female$Type: Predicted Year: 1853 Ex: 46.624601","Age: 12 ex_fr_female$Type: Predicted Year: 1854 Ex: 42.500608","Age: 12 ex_fr_female$Type: Predicted Year: 1855 Ex: 44.613947","Age: 12 ex_fr_female$Type: Predicted Year: 1856 Ex: 46.471071","Age: 12 ex_fr_female$Type: Predicted Year: 1857 Ex: 46.086046","Age: 12 ex_fr_female$Type: Predicted Year: 1858 Ex: 45.749855","Age: 12 ex_fr_female$Type: Predicted Year: 1859 Ex: 45.223057","Age: 12 ex_fr_female$Type: Predicted Year: 1860 Ex: 47.808705","Age: 12 ex_fr_female$Type: Predicted Year: 1861 Ex: 47.302925","Age: 12 ex_fr_female$Type: Predicted Year: 1862 Ex: 47.861275","Age: 12 ex_fr_female$Type: Predicted Year: 1863 Ex: 47.669543","Age: 12 ex_fr_female$Type: Predicted Year: 1864 Ex: 47.263285","Age: 12 ex_fr_female$Type: Predicted Year: 1865 Ex: 46.373398","Age: 12 ex_fr_female$Type: Predicted Year: 1866 Ex: 46.489877","Age: 12 ex_fr_female$Type: Predicted Year: 1867 Ex: 47.744610","Age: 12 ex_fr_female$Type: Predicted Year: 1868 Ex: 47.036250","Age: 12 ex_fr_female$Type: Predicted Year: 1869 Ex: 47.159342","Age: 12 ex_fr_female$Type: Predicted Year: 1870 Ex: 44.084690","Age: 12 ex_fr_female$Type: Predicted Year: 1871 Ex: 39.591529","Age: 12 ex_fr_female$Type: Predicted Year: 1872 Ex: 48.045239","Age: 12 ex_fr_female$Type: Predicted Year: 1873 Ex: 47.423971","Age: 12 ex_fr_female$Type: Predicted Year: 1874 Ex: 48.542939","Age: 12 ex_fr_female$Type: Predicted Year: 1875 Ex: 47.552424","Age: 12 ex_fr_female$Type: Predicted Year: 1876 Ex: 47.980460","Age: 12 ex_fr_female$Type: Predicted Year: 1877 Ex: 48.532298","Age: 12 ex_fr_female$Type: Predicted Year: 1878 Ex: 48.155649","Age: 12 ex_fr_female$Type: Predicted Year: 1879 Ex: 48.006245","Age: 12 ex_fr_female$Type: Predicted Year: 1880 Ex: 48.068702","Age: 12 ex_fr_female$Type: Predicted Year: 1881 Ex: 48.425967","Age: 12 ex_fr_female$Type: Predicted Year: 1882 Ex: 48.257067","Age: 12 ex_fr_female$Type: Predicted Year: 1883 Ex: 48.245264","Age: 12 ex_fr_female$Type: Predicted Year: 1884 Ex: 48.250676","Age: 12 ex_fr_female$Type: Predicted Year: 1885 Ex: 48.458033","Age: 12 ex_fr_female$Type: Predicted Year: 1886 Ex: 48.127173","Age: 12 ex_fr_female$Type: Predicted Year: 1887 Ex: 48.390321","Age: 12 ex_fr_female$Type: Predicted Year: 1888 Ex: 48.935189","Age: 12 ex_fr_female$Type: Predicted Year: 1889 Ex: 49.651865","Age: 12 ex_fr_female$Type: Predicted Year: 1890 Ex: 48.469439","Age: 12 ex_fr_female$Type: Predicted Year: 1891 Ex: 48.265080","Age: 12 ex_fr_female$Type: Predicted Year: 1892 Ex: 48.626636","Age: 12 ex_fr_female$Type: Predicted Year: 1893 Ex: 48.652592","Age: 12 ex_fr_female$Type: Predicted Year: 1894 Ex: 49.545492","Age: 12 ex_fr_female$Type: Predicted Year: 1895 Ex: 49.119876","Age: 12 ex_fr_female$Type: Predicted Year: 1896 Ex: 50.276495","Age: 12 ex_fr_female$Type: Predicted Year: 1897 Ex: 51.019491","Age: 12 ex_fr_female$Type: Predicted Year: 1898 Ex: 50.200091","Age: 12 ex_fr_female$Type: Predicted Year: 1899 Ex: 49.864805","Age: 12 ex_fr_female$Type: Predicted Year: 1900 Ex: 48.980736","Age: 12 ex_fr_female$Type: Predicted Year: 1901 Ex: 50.155127","Age: 12 ex_fr_female$Type: Predicted Year: 1902 Ex: 50.542761","Age: 12 ex_fr_female$Type: Predicted Year: 1903 Ex: 50.755465","Age: 12 ex_fr_female$Type: Predicted Year: 1904 Ex: 50.737251","Age: 12 ex_fr_female$Type: Predicted Year: 1905 Ex: 50.421063","Age: 12 ex_fr_female$Type: Predicted Year: 1906 Ex: 50.459842","Age: 12 ex_fr_female$Type: Predicted Year: 1907 Ex: 50.012342","Age: 12 ex_fr_female$Type: Predicted Year: 1908 Ex: 51.062973","Age: 12 ex_fr_female$Type: Predicted Year: 1909 Ex: 50.877914","Age: 12 ex_fr_female$Type: Predicted Year: 1910 Ex: 51.939430","Age: 12 ex_fr_female$Type: Predicted Year: 1911 Ex: 51.251967","Age: 12 ex_fr_female$Type: Predicted Year: 1912 Ex: 52.195361","Age: 12 ex_fr_female$Type: Predicted Year: 1913 Ex: 52.268429","Age: 12 ex_fr_female$Type: Predicted Year: 1914 Ex: 51.554076","Age: 12 ex_fr_female$Type: Predicted Year: 1915 Ex: 51.435669","Age: 12 ex_fr_female$Type: Predicted Year: 1916 Ex: 52.065968","Age: 12 ex_fr_female$Type: Predicted Year: 1917 Ex: 51.966716","Age: 12 ex_fr_female$Type: Predicted Year: 1918 Ex: 44.407510","Age: 12 ex_fr_female$Type: Predicted Year: 1919 Ex: 50.293048","Age: 12 ex_fr_female$Type: Predicted Year: 1920 Ex: 52.667813","Age: 12 ex_fr_female$Type: Predicted Year: 1921 Ex: 53.006793","Age: 12 ex_fr_female$Type: Predicted Year: 1922 Ex: 52.748418","Age: 12 ex_fr_female$Type: Predicted Year: 1923 Ex: 53.624882","Age: 12 ex_fr_female$Type: Predicted Year: 1924 Ex: 53.292921","Age: 12 ex_fr_female$Type: Predicted Year: 1925 Ex: 53.118721","Age: 12 ex_fr_female$Type: Predicted Year: 1926 Ex: 53.092146","Age: 12 ex_fr_female$Type: Predicted Year: 1927 Ex: 53.832801","Age: 12 ex_fr_female$Type: Predicted Year: 1928 Ex: 54.101839","Age: 12 ex_fr_female$Type: Predicted Year: 1929 Ex: 53.159514","Age: 12 ex_fr_female$Type: Predicted Year: 1930 Ex: 54.859670","Age: 12 ex_fr_female$Type: Predicted Year: 1931 Ex: 54.404911","Age: 12 ex_fr_female$Type: Predicted Year: 1932 Ex: 54.984799","Age: 12 ex_fr_female$Type: Predicted Year: 1933 Ex: 55.128030","Age: 12 ex_fr_female$Type: Predicted Year: 1934 Ex: 55.955230","Age: 12 ex_fr_female$Type: Predicted Year: 1935 Ex: 55.471295","Age: 12 ex_fr_female$Type: Predicted Year: 1936 Ex: 56.089355","Age: 12 ex_fr_female$Type: Predicted Year: 1937 Ex: 56.376157","Age: 12 ex_fr_female$Type: Predicted Year: 1938 Ex: 56.231139","Age: 12 ex_fr_female$Type: Predicted Year: 1939 Ex: 56.521754","Age: 12 ex_fr_female$Type: Predicted Year: 1940 Ex: 54.595054","Age: 12 ex_fr_female$Type: Predicted Year: 1941 Ex: 56.007454","Age: 12 ex_fr_female$Type: Predicted Year: 1942 Ex: 56.065975","Age: 12 ex_fr_female$Type: Predicted Year: 1943 Ex: 52.944078","Age: 12 ex_fr_female$Type: Predicted Year: 1944 Ex: 48.416637","Age: 12 ex_fr_female$Type: Predicted Year: 1945 Ex: 55.755584","Age: 12 ex_fr_female$Type: Predicted Year: 1946 Ex: 59.802579","Age: 12 ex_fr_female$Type: Predicted Year: 1947 Ex: 60.548923","Age: 12 ex_fr_female$Type: Predicted Year: 1948 Ex: 61.425640","Age: 12 ex_fr_female$Type: Predicted Year: 1949 Ex: 60.523334","Age: 12 ex_fr_female$Type: Predicted Year: 1950 Ex: 61.499238","Age: 12 ex_fr_female$Type: Predicted Year: 1951 Ex: 61.100903","Age: 12 ex_fr_female$Type: Predicted Year: 1952 Ex: 62.183363","Age: 12 ex_fr_female$Type: Predicted Year: 1953 Ex: 61.748001","Age: 12 ex_fr_female$Type: Predicted Year: 1954 Ex: 62.730823","Age: 12 ex_fr_female$Type: Predicted Year: 1955 Ex: 62.893197","Age: 12 ex_fr_female$Type: Predicted Year: 1956 Ex: 62.773301","Age: 12 ex_fr_female$Type: Predicted Year: 1957 Ex: 63.232598","Age: 12 ex_fr_female$Type: Predicted Year: 1958 Ex: 64.063916","Age: 12 ex_fr_female$Type: Predicted Year: 1959 Ex: 64.080220","Age: 12 ex_fr_female$Type: Predicted Year: 1960 Ex: 64.089220","Age: 12 ex_fr_female$Type: Predicted Year: 1961 Ex: 64.767000","Age: 12 ex_fr_female$Type: Predicted Year: 1962 Ex: 64.246084","Age: 12 ex_fr_female$Type: Predicted Year: 1963 Ex: 64.169135","Age: 12 ex_fr_female$Type: Predicted Year: 1964 Ex: 65.024755","Age: 12 ex_fr_female$Type: Predicted Year: 1965 Ex: 64.789668","Age: 12 ex_fr_female$Type: Predicted Year: 1966 Ex: 65.220464","Age: 12 ex_fr_female$Type: Predicted Year: 1967 Ex: 65.175827","Age: 12 ex_fr_female$Type: Predicted Year: 1968 Ex: 65.207913","Age: 12 ex_fr_female$Type: Predicted Year: 1969 Ex: 64.980974","Age: 12 ex_fr_female$Type: Predicted Year: 1970 Ex: 65.639230","Age: 12 ex_fr_female$Type: Predicted Year: 1971 Ex: 65.646674","Age: 12 ex_fr_female$Type: Predicted Year: 1972 Ex: 65.864194","Age: 12 ex_fr_female$Type: Predicted Year: 1973 Ex: 65.947382","Age: 12 ex_fr_female$Type: Predicted Year: 1974 Ex: 66.295358","Age: 12 ex_fr_female$Type: Predicted Year: 1975 Ex: 66.340678","Age: 12 ex_fr_female$Type: Predicted Year: 1976 Ex: 66.598238","Age: 12 ex_fr_female$Type: Predicted Year: 1977 Ex: 67.179498","Age: 12 ex_fr_female$Type: Predicted Year: 1978 Ex: 67.225740","Age: 12 ex_fr_female$Type: Predicted Year: 1979 Ex: 67.510679","Age: 12 ex_fr_female$Type: Predicted Year: 1980 Ex: 67.632756","Age: 12 ex_fr_female$Type: Predicted Year: 1981 Ex: 67.686823","Age: 12 ex_fr_female$Type: Predicted Year: 1982 Ex: 68.047576","Age: 12 ex_fr_female$Type: Predicted Year: 1983 Ex: 67.947190","Age: 12 ex_fr_female$Type: Predicted Year: 1984 Ex: 68.433868","Age: 12 ex_fr_female$Type: Predicted Year: 1985 Ex: 68.500019","Age: 12 ex_fr_female$Type: Predicted Year: 1986 Ex: 68.750198","Age: 12 ex_fr_female$Type: Predicted Year: 1987 Ex: 69.285754","Age: 12 ex_fr_female$Type: Predicted Year: 1988 Ex: 69.486672","Age: 12 ex_fr_female$Type: Predicted Year: 1989 Ex: 69.642078","Age: 12 ex_fr_female$Type: Predicted Year: 1990 Ex: 69.908288","Age: 12 ex_fr_female$Type: Predicted Year: 1991 Ex: 70.121907","Age: 12 ex_fr_female$Type: Predicted Year: 1992 Ex: 70.343361","Age: 12 ex_fr_female$Type: Predicted Year: 1993 Ex: 70.316392","Age: 12 ex_fr_female$Type: Predicted Year: 1994 Ex: 70.710029","Age: 12 ex_fr_female$Type: Predicted Year: 1995 Ex: 70.671500","Age: 12 ex_fr_female$Type: Predicted Year: 1996 Ex: 70.784270","Age: 12 ex_fr_female$Type: Predicted Year: 1997 Ex: 71.040909","Age: 12 ex_fr_female$Type: Predicted Year: 1998 Ex: 71.139295","Age: 12 ex_fr_female$Type: Predicted Year: 1999 Ex: 71.219335","Age: 12 ex_fr_female$Type: Predicted Year: 2000 Ex: 71.501790","Age: 12 ex_fr_female$Type: Predicted Year: 2001 Ex: 71.649650","Age: 12 ex_fr_female$Type: Predicted Year: 2002 Ex: 71.720196","Age: 12 ex_fr_female$Type: Predicted Year: 2003 Ex: 71.613319","Age: 12 ex_fr_female$Type: Predicted Year: 2004 Ex: 72.512205","Age: 12 ex_fr_female$Type: Predicted Year: 2005 Ex: 72.443817","Age: 12 ex_fr_female$Type: Predicted Year: 2006 Ex: 72.803401","Age: 12 ex_fr_female$Type: Predicted Year: 2007 Ex: 72.987584","Age: 12 ex_fr_female$Type: Predicted Year: 2008 Ex: 72.959925","Age: 12 ex_fr_female$Type: Predicted Year: 2009 Ex: 73.049126","Age: 12 ex_fr_female$Type: Predicted Year: 2010 Ex: 73.270123","Age: 12 ex_fr_female$Type: Predicted Year: 2011 Ex: 73.587915","Age: 12 ex_fr_female$Type: Predicted Year: 2012 Ex: 73.443485","Age: 12 ex_fr_female$Type: Predicted Year: 2013 Ex: 73.664281","Age: 12 ex_fr_female$Type: Predicted Year: 2014 Ex: 74.037157","Age: 12 ex_fr_female$Type: Predicted Year: 2015 Ex: 73.752330","Age: 12 ex_fr_female$Type: Predicted Year: 2016 Ex: 73.934361","Age: 12 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1926 Ex: 51.960000","Age: 13 ex_fr_female$Type: Observed Year: 1927 Ex: 52.700000","Age: 13 ex_fr_female$Type: Observed Year: 1928 Ex: 52.970000","Age: 13 ex_fr_female$Type: Observed Year: 1929 Ex: 52.020000","Age: 13 ex_fr_female$Type: Observed Year: 1930 Ex: 53.710000","Age: 13 ex_fr_female$Type: Observed Year: 1931 Ex: 53.260000","Age: 13 ex_fr_female$Type: Observed Year: 1932 Ex: 53.840000","Age: 13 ex_fr_female$Type: Observed Year: 1933 Ex: 53.970000","Age: 13 ex_fr_female$Type: Observed Year: 1934 Ex: 54.800000","Age: 13 ex_fr_female$Type: Observed Year: 1935 Ex: 54.300000","Age: 13 ex_fr_female$Type: Observed Year: 1936 Ex: 54.920000","Age: 13 ex_fr_female$Type: Observed Year: 1937 Ex: 55.210000","Age: 13 ex_fr_female$Type: Observed Year: 1938 Ex: 55.060000","Age: 13 ex_fr_female$Type: Observed Year: 1939 Ex: 55.340000","Age: 13 ex_fr_female$Type: Observed Year: 1940 Ex: 53.440000","Age: 13 ex_fr_female$Type: Observed Year: 1941 Ex: 54.840000","Age: 13 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62.010000","Age: 13 ex_fr_female$Type: Observed Year: 1958 Ex: 62.830000","Age: 13 ex_fr_female$Type: Observed Year: 1959 Ex: 62.850000","Age: 13 ex_fr_female$Type: Observed Year: 1960 Ex: 62.850000","Age: 13 ex_fr_female$Type: Observed Year: 1961 Ex: 63.530000","Age: 13 ex_fr_female$Type: Observed Year: 1962 Ex: 63.010000","Age: 13 ex_fr_female$Type: Observed Year: 1963 Ex: 62.930000","Age: 13 ex_fr_female$Type: Observed Year: 1964 Ex: 63.790000","Age: 13 ex_fr_female$Type: Observed Year: 1965 Ex: 63.550000","Age: 13 ex_fr_female$Type: Observed Year: 1966 Ex: 63.990000","Age: 13 ex_fr_female$Type: Observed Year: 1967 Ex: 63.940000","Age: 13 ex_fr_female$Type: Observed Year: 1968 Ex: 63.970000","Age: 13 ex_fr_female$Type: Observed Year: 1969 Ex: 63.750000","Age: 13 ex_fr_female$Type: Observed Year: 1970 Ex: 64.400000","Age: 13 ex_fr_female$Type: Observed Year: 1971 Ex: 64.420000","Age: 13 ex_fr_female$Type: Observed Year: 1972 Ex: 64.630000","Age: 13 ex_fr_female$Type: Observed Year: 1973 Ex: 64.710000","Age: 13 ex_fr_female$Type: Observed Year: 1974 Ex: 65.050000","Age: 13 ex_fr_female$Type: Observed Year: 1975 Ex: 65.100000","Age: 13 ex_fr_female$Type: Observed Year: 1976 Ex: 65.360000","Age: 13 ex_fr_female$Type: Observed Year: 1977 Ex: 65.940000","Age: 13 ex_fr_female$Type: Observed Year: 1978 Ex: 65.990000","Age: 13 ex_fr_female$Type: Observed Year: 1979 Ex: 66.270000","Age: 13 ex_fr_female$Type: Observed Year: 1980 Ex: 66.390000","Age: 13 ex_fr_female$Type: Observed Year: 1981 Ex: 66.450000","Age: 13 ex_fr_female$Type: Observed Year: 1982 Ex: 66.810000","Age: 13 ex_fr_female$Type: Observed Year: 1983 Ex: 66.710000","Age: 13 ex_fr_female$Type: Observed Year: 1984 Ex: 67.190000","Age: 13 ex_fr_female$Type: Observed Year: 1985 Ex: 67.260000","Age: 13 ex_fr_female$Type: Observed Year: 1986 Ex: 67.510000","Age: 13 ex_fr_female$Type: Observed Year: 1987 Ex: 68.040000","Age: 13 ex_fr_female$Type: Observed Year: 1988 Ex: 68.250000","Age: 13 ex_fr_female$Type: Observed Year: 1989 Ex: 68.400000","Age: 13 ex_fr_female$Type: Observed Year: 1990 Ex: 68.670000","Age: 13 ex_fr_female$Type: Observed Year: 1991 Ex: 68.880000","Age: 13 ex_fr_female$Type: Observed Year: 1992 Ex: 69.100000","Age: 13 ex_fr_female$Type: Observed Year: 1993 Ex: 69.070000","Age: 13 ex_fr_female$Type: Observed Year: 1994 Ex: 69.470000","Age: 13 ex_fr_female$Type: Observed Year: 1995 Ex: 69.430000","Age: 13 ex_fr_female$Type: Observed Year: 1996 Ex: 69.540000","Age: 13 ex_fr_female$Type: Observed Year: 1997 Ex: 69.800000","Age: 13 ex_fr_female$Type: Observed Year: 1998 Ex: 69.900000","Age: 13 ex_fr_female$Type: Observed Year: 1999 Ex: 69.980000","Age: 13 ex_fr_female$Type: Observed Year: 2000 Ex: 70.260000","Age: 13 ex_fr_female$Type: Observed Year: 2001 Ex: 70.410000","Age: 13 ex_fr_female$Type: Observed Year: 2002 Ex: 70.480000","Age: 13 ex_fr_female$Type: Observed Year: 2003 Ex: 70.370000","Age: 13 ex_fr_female$Type: Observed Year: 2004 Ex: 71.270000","Age: 13 ex_fr_female$Type: Observed Year: 2005 Ex: 71.200000","Age: 13 ex_fr_female$Type: Observed Year: 2006 Ex: 71.560000","Age: 13 ex_fr_female$Type: Observed Year: 2007 Ex: 71.740000","Age: 13 ex_fr_female$Type: Observed Year: 2008 Ex: 71.710000","Age: 13 ex_fr_female$Type: Observed Year: 2009 Ex: 71.800000","Age: 13 ex_fr_female$Type: Observed Year: 2010 Ex: 72.030000","Age: 13 ex_fr_female$Type: Observed Year: 2011 Ex: 72.340000","Age: 13 ex_fr_female$Type: Observed Year: 2012 Ex: 72.200000","Age: 13 ex_fr_female$Type: Observed Year: 2013 Ex: 72.410000","Age: 13 ex_fr_female$Type: Observed Year: 2014 Ex: 72.790000","Age: 13 ex_fr_female$Type: Observed Year: 2015 Ex: 72.510000","Age: 13 ex_fr_female$Type: Observed Year: 2016 Ex: 72.690000","Age: 13 ex_fr_female$Type: Observed Year: 2017 Ex: 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13 ex_fr_female$Type: Predicted Year: 1816 Ex: 45.779540","Age: 13 ex_fr_female$Type: Predicted Year: 1817 Ex: 45.463640","Age: 13 ex_fr_female$Type: Predicted Year: 1818 Ex: 45.018098","Age: 13 ex_fr_female$Type: Predicted Year: 1819 Ex: 45.015049","Age: 13 ex_fr_female$Type: Predicted Year: 1820 Ex: 45.494219","Age: 13 ex_fr_female$Type: Predicted Year: 1821 Ex: 46.447827","Age: 13 ex_fr_female$Type: Predicted Year: 1822 Ex: 46.121633","Age: 13 ex_fr_female$Type: Predicted Year: 1823 Ex: 47.005663","Age: 13 ex_fr_female$Type: Predicted Year: 1824 Ex: 46.937891","Age: 13 ex_fr_female$Type: Predicted Year: 1825 Ex: 46.017055","Age: 13 ex_fr_female$Type: Predicted Year: 1826 Ex: 45.111382","Age: 13 ex_fr_female$Type: Predicted Year: 1827 Ex: 45.619053","Age: 13 ex_fr_female$Type: Predicted Year: 1828 Ex: 45.286829","Age: 13 ex_fr_female$Type: Predicted Year: 1829 Ex: 45.522760","Age: 13 ex_fr_female$Type: Predicted Year: 1830 Ex: 45.512237","Age: 13 ex_fr_female$Type: Predicted Year: 1831 Ex: 45.936207","Age: 13 ex_fr_female$Type: Predicted Year: 1832 Ex: 41.996079","Age: 13 ex_fr_female$Type: Predicted Year: 1833 Ex: 45.214238","Age: 13 ex_fr_female$Type: Predicted Year: 1834 Ex: 43.841596","Age: 13 ex_fr_female$Type: Predicted Year: 1835 Ex: 45.335487","Age: 13 ex_fr_female$Type: Predicted Year: 1836 Ex: 46.724259","Age: 13 ex_fr_female$Type: Predicted Year: 1837 Ex: 44.266468","Age: 13 ex_fr_female$Type: Predicted Year: 1838 Ex: 45.557907","Age: 13 ex_fr_female$Type: Predicted Year: 1839 Ex: 46.162203","Age: 13 ex_fr_female$Type: Predicted Year: 1840 Ex: 45.222538","Age: 13 ex_fr_female$Type: Predicted Year: 1841 Ex: 46.225631","Age: 13 ex_fr_female$Type: Predicted Year: 1842 Ex: 45.512498","Age: 13 ex_fr_female$Type: Predicted Year: 1843 Ex: 46.049406","Age: 13 ex_fr_female$Type: Predicted Year: 1844 Ex: 46.587389","Age: 13 ex_fr_female$Type: Predicted Year: 1845 Ex: 47.111191","Age: 13 ex_fr_female$Type: Predicted Year: 1846 Ex: 45.841349","Age: 13 ex_fr_female$Type: Predicted Year: 1847 Ex: 44.762491","Age: 13 ex_fr_female$Type: Predicted Year: 1848 Ex: 45.224125","Age: 13 ex_fr_female$Type: Predicted Year: 1849 Ex: 42.238325","Age: 13 ex_fr_female$Type: Predicted Year: 1850 Ex: 46.868074","Age: 13 ex_fr_female$Type: Predicted Year: 1851 Ex: 46.662141","Age: 13 ex_fr_female$Type: Predicted Year: 1852 Ex: 46.247912","Age: 13 ex_fr_female$Type: Predicted Year: 1853 Ex: 45.894293","Age: 13 ex_fr_female$Type: Predicted Year: 1854 Ex: 41.802413","Age: 13 ex_fr_female$Type: Predicted Year: 1855 Ex: 43.921164","Age: 13 ex_fr_female$Type: Predicted Year: 1856 Ex: 45.755127","Age: 13 ex_fr_female$Type: Predicted Year: 1857 Ex: 45.374604","Age: 13 ex_fr_female$Type: Predicted Year: 1858 Ex: 45.016254","Age: 13 ex_fr_female$Type: Predicted Year: 1859 Ex: 44.525510","Age: 13 ex_fr_female$Type: Predicted Year: 1860 Ex: 47.055352","Age: 13 ex_fr_female$Type: Predicted Year: 1861 Ex: 46.574700","Age: 13 ex_fr_female$Type: Predicted Year: 1862 Ex: 47.122480","Age: 13 ex_fr_female$Type: Predicted Year: 1863 Ex: 46.915938","Age: 13 ex_fr_female$Type: Predicted Year: 1864 Ex: 46.489698","Age: 13 ex_fr_female$Type: Predicted Year: 1865 Ex: 45.622707","Age: 13 ex_fr_female$Type: Predicted Year: 1866 Ex: 45.727799","Age: 13 ex_fr_female$Type: Predicted Year: 1867 Ex: 46.961962","Age: 13 ex_fr_female$Type: Predicted Year: 1868 Ex: 46.265305","Age: 13 ex_fr_female$Type: Predicted Year: 1869 Ex: 46.383846","Age: 13 ex_fr_female$Type: Predicted Year: 1870 Ex: 43.350493","Age: 13 ex_fr_female$Type: Predicted Year: 1871 Ex: 38.922071","Age: 13 ex_fr_female$Type: Predicted Year: 1872 Ex: 47.269228","Age: 13 ex_fr_female$Type: Predicted Year: 1873 Ex: 46.649748","Age: 13 ex_fr_female$Type: Predicted Year: 1874 Ex: 47.747074","Age: 13 ex_fr_female$Type: Predicted Year: 1875 Ex: 46.759911","Age: 13 ex_fr_female$Type: Predicted Year: 1876 Ex: 47.190311","Age: 13 ex_fr_female$Type: Predicted Year: 1877 Ex: 47.739282","Age: 13 ex_fr_female$Type: Predicted Year: 1878 Ex: 47.351917","Age: 13 ex_fr_female$Type: Predicted Year: 1879 Ex: 47.197605","Age: 13 ex_fr_female$Type: Predicted Year: 1880 Ex: 47.269388","Age: 13 ex_fr_female$Type: Predicted Year: 1881 Ex: 47.636344","Age: 13 ex_fr_female$Type: Predicted Year: 1882 Ex: 47.468142","Age: 13 ex_fr_female$Type: Predicted Year: 1883 Ex: 47.460602","Age: 13 ex_fr_female$Type: Predicted Year: 1884 Ex: 47.488589","Age: 13 ex_fr_female$Type: Predicted Year: 1885 Ex: 47.668068","Age: 13 ex_fr_female$Type: Predicted Year: 1886 Ex: 47.355855","Age: 13 ex_fr_female$Type: Predicted Year: 1887 Ex: 47.610162","Age: 13 ex_fr_female$Type: Predicted Year: 1888 Ex: 48.131750","Age: 13 ex_fr_female$Type: Predicted Year: 1889 Ex: 48.838998","Age: 13 ex_fr_female$Type: Predicted Year: 1890 Ex: 47.653515","Age: 13 ex_fr_female$Type: Predicted Year: 1891 Ex: 47.453646","Age: 13 ex_fr_female$Type: Predicted Year: 1892 Ex: 47.801171","Age: 13 ex_fr_female$Type: Predicted Year: 1893 Ex: 47.832053","Age: 13 ex_fr_female$Type: Predicted Year: 1894 Ex: 48.716960","Age: 13 ex_fr_female$Type: Predicted Year: 1895 Ex: 48.283514","Age: 13 ex_fr_female$Type: Predicted Year: 1896 Ex: 49.436035","Age: 13 ex_fr_female$Type: Predicted Year: 1897 Ex: 50.176851","Age: 13 ex_fr_female$Type: Predicted Year: 1898 Ex: 49.355896","Age: 13 ex_fr_female$Type: Predicted Year: 1899 Ex: 49.032931","Age: 13 ex_fr_female$Type: Predicted Year: 1900 Ex: 48.166773","Age: 13 ex_fr_female$Type: Predicted Year: 1901 Ex: 49.321252","Age: 13 ex_fr_female$Type: Predicted Year: 1902 Ex: 49.702653","Age: 13 ex_fr_female$Type: Predicted Year: 1903 Ex: 49.917548","Age: 13 ex_fr_female$Type: Predicted Year: 1904 Ex: 49.898268","Age: 13 ex_fr_female$Type: Predicted Year: 1905 Ex: 49.582569","Age: 13 ex_fr_female$Type: Predicted Year: 1906 Ex: 49.616962","Age: 13 ex_fr_female$Type: Predicted Year: 1907 Ex: 49.158123","Age: 13 ex_fr_female$Type: Predicted Year: 1908 Ex: 50.204747","Age: 13 ex_fr_female$Type: Predicted Year: 1909 Ex: 50.013613","Age: 13 ex_fr_female$Type: Predicted Year: 1910 Ex: 51.068705","Age: 13 ex_fr_female$Type: Predicted Year: 1911 Ex: 50.386638","Age: 13 ex_fr_female$Type: Predicted Year: 1912 Ex: 51.329425","Age: 13 ex_fr_female$Type: Predicted Year: 1913 Ex: 51.406316","Age: 13 ex_fr_female$Type: Predicted Year: 1914 Ex: 50.687501","Age: 13 ex_fr_female$Type: Predicted Year: 1915 Ex: 50.590239","Age: 13 ex_fr_female$Type: Predicted Year: 1916 Ex: 51.213141","Age: 13 ex_fr_female$Type: Predicted Year: 1917 Ex: 51.118767","Age: 13 ex_fr_female$Type: Predicted Year: 1918 Ex: 43.648343","Age: 13 ex_fr_female$Type: Predicted Year: 1919 Ex: 49.449644","Age: 13 ex_fr_female$Type: Predicted Year: 1920 Ex: 51.799442","Age: 13 ex_fr_female$Type: Predicted Year: 1921 Ex: 52.127697","Age: 13 ex_fr_female$Type: Predicted Year: 1922 Ex: 51.856161","Age: 13 ex_fr_female$Type: Predicted Year: 1923 Ex: 52.730706","Age: 13 ex_fr_female$Type: Predicted Year: 1924 Ex: 52.395968","Age: 13 ex_fr_female$Type: Predicted Year: 1925 Ex: 52.225118","Age: 13 ex_fr_female$Type: Predicted Year: 1926 Ex: 52.197435","Age: 13 ex_fr_female$Type: Predicted Year: 1927 Ex: 52.936367","Age: 13 ex_fr_female$Type: Predicted Year: 1928 Ex: 53.209687","Age: 13 ex_fr_female$Type: Predicted Year: 1929 Ex: 52.261245","Age: 13 ex_fr_female$Type: Predicted Year: 1930 Ex: 53.948348","Age: 13 ex_fr_female$Type: Predicted Year: 1931 Ex: 53.498787","Age: 13 ex_fr_female$Type: Predicted Year: 1932 Ex: 54.076410","Age: 13 ex_fr_female$Type: Predicted Year: 1933 Ex: 54.213317","Age: 13 ex_fr_female$Type: Predicted Year: 1934 Ex: 55.037364","Age: 13 ex_fr_female$Type: Predicted Year: 1935 Ex: 54.542254","Age: 13 ex_fr_female$Type: Predicted Year: 1936 Ex: 55.163895","Age: 13 ex_fr_female$Type: Predicted Year: 1937 Ex: 55.454439","Age: 13 ex_fr_female$Type: Predicted Year: 1938 Ex: 55.300847","Age: 13 ex_fr_female$Type: Predicted Year: 1939 Ex: 55.582290","Age: 13 ex_fr_female$Type: Predicted Year: 1940 Ex: 53.675716","Age: 13 ex_fr_female$Type: Predicted Year: 1941 Ex: 55.076882","Age: 13 ex_fr_female$Type: Predicted Year: 1942 Ex: 55.137145","Age: 13 ex_fr_female$Type: Predicted Year: 1943 Ex: 52.041189","Age: 13 ex_fr_female$Type: Predicted Year: 1944 Ex: 47.552433","Age: 13 ex_fr_female$Type: Predicted Year: 1945 Ex: 54.842957","Age: 13 ex_fr_female$Type: Predicted Year: 1946 Ex: 58.854788","Age: 13 ex_fr_female$Type: Predicted Year: 1947 Ex: 59.586165","Age: 13 ex_fr_female$Type: Predicted Year: 1948 Ex: 60.457329","Age: 13 ex_fr_female$Type: Predicted Year: 1949 Ex: 59.562962","Age: 13 ex_fr_female$Type: Predicted Year: 1950 Ex: 60.527914","Age: 13 ex_fr_female$Type: Predicted Year: 1951 Ex: 60.132424","Age: 13 ex_fr_female$Type: Predicted Year: 1952 Ex: 61.203105","Age: 13 ex_fr_female$Type: Predicted Year: 1953 Ex: 60.773730","Age: 13 ex_fr_female$Type: Predicted Year: 1954 Ex: 61.751363","Age: 13 ex_fr_female$Type: Predicted Year: 1955 Ex: 61.910669","Age: 13 ex_fr_female$Type: Predicted Year: 1956 Ex: 61.797592","Age: 13 ex_fr_female$Type: Predicted Year: 1957 Ex: 62.256441","Age: 13 ex_fr_female$Type: Predicted Year: 1958 Ex: 63.079173","Age: 13 ex_fr_female$Type: Predicted Year: 1959 Ex: 63.098661","Age: 13 ex_fr_female$Type: Predicted Year: 1960 Ex: 63.107664","Age: 13 ex_fr_female$Type: Predicted Year: 1961 Ex: 63.784997","Age: 13 ex_fr_female$Type: Predicted Year: 1962 Ex: 63.263935","Age: 13 ex_fr_female$Type: Predicted Year: 1963 Ex: 63.183144","Age: 13 ex_fr_female$Type: Predicted Year: 1964 Ex: 64.039598","Age: 13 ex_fr_female$Type: Predicted Year: 1965 Ex: 63.803813","Age: 13 ex_fr_female$Type: Predicted Year: 1966 Ex: 64.239235","Age: 13 ex_fr_female$Type: Predicted Year: 1967 Ex: 64.191998","Age: 13 ex_fr_female$Type: Predicted Year: 1968 Ex: 64.224739","Age: 13 ex_fr_female$Type: Predicted Year: 1969 Ex: 64.001611","Age: 13 ex_fr_female$Type: Predicted Year: 1970 Ex: 64.656820","Age: 13 ex_fr_female$Type: Predicted Year: 1971 Ex: 64.666872","Age: 13 ex_fr_female$Type: Predicted Year: 1972 Ex: 64.884460","Age: 13 ex_fr_female$Type: Predicted Year: 1973 Ex: 64.967019","Age: 13 ex_fr_female$Type: Predicted Year: 1974 Ex: 65.307202","Age: 13 ex_fr_female$Type: Predicted Year: 1975 Ex: 65.355823","Age: 13 ex_fr_female$Type: Predicted Year: 1976 Ex: 65.613442","Age: 13 ex_fr_female$Type: Predicted Year: 1977 Ex: 66.193502","Age: 13 ex_fr_female$Type: Predicted Year: 1978 Ex: 66.241756","Age: 13 ex_fr_female$Type: Predicted Year: 1979 Ex: 66.526094","Age: 13 ex_fr_female$Type: Predicted Year: 1980 Ex: 66.646855","Age: 13 ex_fr_female$Type: Predicted Year: 1981 Ex: 66.700934","Age: 13 ex_fr_female$Type: Predicted Year: 1982 Ex: 67.060411","Age: 13 ex_fr_female$Type: Predicted Year: 1983 Ex: 66.961356","Age: 13 ex_fr_female$Type: Predicted Year: 1984 Ex: 67.448136","Age: 13 ex_fr_female$Type: Predicted Year: 1985 Ex: 67.514301","Age: 13 ex_fr_female$Type: Predicted Year: 1986 Ex: 67.761119","Age: 13 ex_fr_female$Type: Predicted Year: 1987 Ex: 68.297448","Age: 13 ex_fr_female$Type: Predicted Year: 1988 Ex: 68.497710","Age: 13 ex_fr_female$Type: Predicted Year: 1989 Ex: 68.653142","Age: 13 ex_fr_female$Type: Predicted Year: 1990 Ex: 68.918700","Age: 13 ex_fr_female$Type: Predicted Year: 1991 Ex: 69.132351","Age: 13 ex_fr_female$Type: Predicted Year: 1992 Ex: 69.353140","Age: 13 ex_fr_female$Type: Predicted Year: 1993 Ex: 69.326167","Age: 13 ex_fr_female$Type: Predicted Year: 1994 Ex: 69.721263","Age: 13 ex_fr_female$Type: Predicted Year: 1995 Ex: 69.684132","Age: 13 ex_fr_female$Type: Predicted Year: 1996 Ex: 69.794111","Age: 13 ex_fr_female$Type: Predicted Year: 1997 Ex: 70.052196","Age: 13 ex_fr_female$Type: Predicted Year: 1998 Ex: 70.148479","Age: 13 ex_fr_female$Type: Predicted Year: 1999 Ex: 70.227821","Age: 13 ex_fr_female$Type: Predicted Year: 2000 Ex: 70.511731","Age: 13 ex_fr_female$Type: Predicted Year: 2001 Ex: 70.658900","Age: 13 ex_fr_female$Type: Predicted Year: 2002 Ex: 70.728743","Age: 13 ex_fr_female$Type: Predicted Year: 2003 Ex: 70.621853","Age: 13 ex_fr_female$Type: Predicted Year: 2004 Ex: 71.519406","Age: 13 ex_fr_female$Type: Predicted Year: 2005 Ex: 71.447415","Age: 13 ex_fr_female$Type: Predicted Year: 2006 Ex: 71.809909","Age: 13 ex_fr_female$Type: Predicted Year: 2007 Ex: 71.994108","Age: 13 ex_fr_female$Type: Predicted Year: 2008 Ex: 71.965722","Age: 13 ex_fr_female$Type: Predicted Year: 2009 Ex: 72.053479","Age: 13 ex_fr_female$Type: Predicted Year: 2010 Ex: 72.276672","Age: 13 ex_fr_female$Type: Predicted Year: 2011 Ex: 72.594493","Age: 13 ex_fr_female$Type: Predicted Year: 2012 Ex: 72.448592","Age: 13 ex_fr_female$Type: Predicted Year: 2013 Ex: 72.667940","Age: 13 ex_fr_female$Type: Predicted Year: 2014 Ex: 73.040834","Age: 13 ex_fr_female$Type: Predicted Year: 2015 Ex: 72.758190","Age: 13 ex_fr_female$Type: Predicted Year: 2016 Ex: 72.938767","Age: 13 ex_fr_female$Type: Predicted Year: 2017 Ex: 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47.660000","Age: 14 ex_fr_female$Type: Observed Year: 1895 Ex: 47.230000","Age: 14 ex_fr_female$Type: Observed Year: 1896 Ex: 48.370000","Age: 14 ex_fr_female$Type: Observed Year: 1897 Ex: 49.100000","Age: 14 ex_fr_female$Type: Observed Year: 1898 Ex: 48.290000","Age: 14 ex_fr_female$Type: Observed Year: 1899 Ex: 47.980000","Age: 14 ex_fr_female$Type: Observed Year: 1900 Ex: 47.110000","Age: 14 ex_fr_female$Type: Observed Year: 1901 Ex: 48.260000","Age: 14 ex_fr_female$Type: Observed Year: 1902 Ex: 48.630000","Age: 14 ex_fr_female$Type: Observed Year: 1903 Ex: 48.850000","Age: 14 ex_fr_female$Type: Observed Year: 1904 Ex: 48.830000","Age: 14 ex_fr_female$Type: Observed Year: 1905 Ex: 48.520000","Age: 14 ex_fr_female$Type: Observed Year: 1906 Ex: 48.540000","Age: 14 ex_fr_female$Type: Observed Year: 1907 Ex: 48.080000","Age: 14 ex_fr_female$Type: Observed Year: 1908 Ex: 49.110000","Age: 14 ex_fr_female$Type: Observed Year: 1909 Ex: 48.930000","Age: 14 ex_fr_female$Type: Observed Year: 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Observed Year: 1926 Ex: 51.080000","Age: 14 ex_fr_female$Type: Observed Year: 1927 Ex: 51.810000","Age: 14 ex_fr_female$Type: Observed Year: 1928 Ex: 52.100000","Age: 14 ex_fr_female$Type: Observed Year: 1929 Ex: 51.130000","Age: 14 ex_fr_female$Type: Observed Year: 1930 Ex: 52.820000","Age: 14 ex_fr_female$Type: Observed Year: 1931 Ex: 52.360000","Age: 14 ex_fr_female$Type: Observed Year: 1932 Ex: 52.940000","Age: 14 ex_fr_female$Type: Observed Year: 1933 Ex: 53.070000","Age: 14 ex_fr_female$Type: Observed Year: 1934 Ex: 53.890000","Age: 14 ex_fr_female$Type: Observed Year: 1935 Ex: 53.390000","Age: 14 ex_fr_female$Type: Observed Year: 1936 Ex: 54.000000","Age: 14 ex_fr_female$Type: Observed Year: 1937 Ex: 54.290000","Age: 14 ex_fr_female$Type: Observed Year: 1938 Ex: 54.140000","Age: 14 ex_fr_female$Type: Observed Year: 1939 Ex: 54.410000","Age: 14 ex_fr_female$Type: Observed Year: 1940 Ex: 52.520000","Age: 14 ex_fr_female$Type: Observed Year: 1941 Ex: 53.920000","Age: 14 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61.030000","Age: 14 ex_fr_female$Type: Observed Year: 1958 Ex: 61.850000","Age: 14 ex_fr_female$Type: Observed Year: 1959 Ex: 61.870000","Age: 14 ex_fr_female$Type: Observed Year: 1960 Ex: 61.870000","Age: 14 ex_fr_female$Type: Observed Year: 1961 Ex: 62.550000","Age: 14 ex_fr_female$Type: Observed Year: 1962 Ex: 62.030000","Age: 14 ex_fr_female$Type: Observed Year: 1963 Ex: 61.950000","Age: 14 ex_fr_female$Type: Observed Year: 1964 Ex: 62.800000","Age: 14 ex_fr_female$Type: Observed Year: 1965 Ex: 62.570000","Age: 14 ex_fr_female$Type: Observed Year: 1966 Ex: 63.000000","Age: 14 ex_fr_female$Type: Observed Year: 1967 Ex: 62.960000","Age: 14 ex_fr_female$Type: Observed Year: 1968 Ex: 62.990000","Age: 14 ex_fr_female$Type: Observed Year: 1969 Ex: 62.760000","Age: 14 ex_fr_female$Type: Observed Year: 1970 Ex: 63.420000","Age: 14 ex_fr_female$Type: Observed Year: 1971 Ex: 63.440000","Age: 14 ex_fr_female$Type: Observed Year: 1972 Ex: 63.650000","Age: 14 ex_fr_female$Type: Observed Year: 1973 Ex: 63.730000","Age: 14 ex_fr_female$Type: Observed Year: 1974 Ex: 64.070000","Age: 14 ex_fr_female$Type: Observed Year: 1975 Ex: 64.120000","Age: 14 ex_fr_female$Type: Observed Year: 1976 Ex: 64.380000","Age: 14 ex_fr_female$Type: Observed Year: 1977 Ex: 64.960000","Age: 14 ex_fr_female$Type: Observed Year: 1978 Ex: 65.000000","Age: 14 ex_fr_female$Type: Observed Year: 1979 Ex: 65.280000","Age: 14 ex_fr_female$Type: Observed Year: 1980 Ex: 65.410000","Age: 14 ex_fr_female$Type: Observed Year: 1981 Ex: 65.460000","Age: 14 ex_fr_female$Type: Observed Year: 1982 Ex: 65.820000","Age: 14 ex_fr_female$Type: Observed Year: 1983 Ex: 65.720000","Age: 14 ex_fr_female$Type: Observed Year: 1984 Ex: 66.210000","Age: 14 ex_fr_female$Type: Observed Year: 1985 Ex: 66.270000","Age: 14 ex_fr_female$Type: Observed Year: 1986 Ex: 66.520000","Age: 14 ex_fr_female$Type: Observed Year: 1987 Ex: 67.060000","Age: 14 ex_fr_female$Type: Observed Year: 1988 Ex: 67.260000","Age: 14 ex_fr_female$Type: Observed Year: 1989 Ex: 67.420000","Age: 14 ex_fr_female$Type: Observed Year: 1990 Ex: 67.680000","Age: 14 ex_fr_female$Type: Observed Year: 1991 Ex: 67.890000","Age: 14 ex_fr_female$Type: Observed Year: 1992 Ex: 68.110000","Age: 14 ex_fr_female$Type: Observed Year: 1993 Ex: 68.080000","Age: 14 ex_fr_female$Type: Observed Year: 1994 Ex: 68.480000","Age: 14 ex_fr_female$Type: Observed Year: 1995 Ex: 68.440000","Age: 14 ex_fr_female$Type: Observed Year: 1996 Ex: 68.550000","Age: 14 ex_fr_female$Type: Observed Year: 1997 Ex: 68.810000","Age: 14 ex_fr_female$Type: Observed Year: 1998 Ex: 68.910000","Age: 14 ex_fr_female$Type: Observed Year: 1999 Ex: 68.990000","Age: 14 ex_fr_female$Type: Observed Year: 2000 Ex: 69.270000","Age: 14 ex_fr_female$Type: Observed Year: 2001 Ex: 69.420000","Age: 14 ex_fr_female$Type: Observed Year: 2002 Ex: 69.480000","Age: 14 ex_fr_female$Type: Observed Year: 2003 Ex: 69.380000","Age: 14 ex_fr_female$Type: Observed Year: 2004 Ex: 70.280000","Age: 14 ex_fr_female$Type: Observed Year: 2005 Ex: 70.200000","Age: 14 ex_fr_female$Type: Observed Year: 2006 Ex: 70.570000","Age: 14 ex_fr_female$Type: Observed Year: 2007 Ex: 70.750000","Age: 14 ex_fr_female$Type: Observed Year: 2008 Ex: 70.720000","Age: 14 ex_fr_female$Type: Observed Year: 2009 Ex: 70.810000","Age: 14 ex_fr_female$Type: Observed Year: 2010 Ex: 71.030000","Age: 14 ex_fr_female$Type: Observed Year: 2011 Ex: 71.350000","Age: 14 ex_fr_female$Type: Observed Year: 2012 Ex: 71.210000","Age: 14 ex_fr_female$Type: Observed Year: 2013 Ex: 71.420000","Age: 14 ex_fr_female$Type: Observed Year: 2014 Ex: 71.800000","Age: 14 ex_fr_female$Type: Observed Year: 2015 Ex: 71.510000","Age: 14 ex_fr_female$Type: Observed Year: 2016 Ex: 71.690000","Age: 14 ex_fr_female$Type: Observed Year: 2017 Ex: 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14 ex_fr_female$Type: Predicted Year: 1816 Ex: 44.999225","Age: 14 ex_fr_female$Type: Predicted Year: 1817 Ex: 44.702580","Age: 14 ex_fr_female$Type: Predicted Year: 1818 Ex: 44.264518","Age: 14 ex_fr_female$Type: Predicted Year: 1819 Ex: 44.264137","Age: 14 ex_fr_female$Type: Predicted Year: 1820 Ex: 44.721562","Age: 14 ex_fr_female$Type: Predicted Year: 1821 Ex: 45.667983","Age: 14 ex_fr_female$Type: Predicted Year: 1822 Ex: 45.370033","Age: 14 ex_fr_female$Type: Predicted Year: 1823 Ex: 46.233166","Age: 14 ex_fr_female$Type: Predicted Year: 1824 Ex: 46.167396","Age: 14 ex_fr_female$Type: Predicted Year: 1825 Ex: 45.268089","Age: 14 ex_fr_female$Type: Predicted Year: 1826 Ex: 44.386140","Age: 14 ex_fr_female$Type: Predicted Year: 1827 Ex: 44.876513","Age: 14 ex_fr_female$Type: Predicted Year: 1828 Ex: 44.544195","Age: 14 ex_fr_female$Type: Predicted Year: 1829 Ex: 44.757489","Age: 14 ex_fr_female$Type: Predicted Year: 1830 Ex: 44.749626","Age: 14 ex_fr_female$Type: Predicted Year: 1831 Ex: 45.182227","Age: 14 ex_fr_female$Type: Predicted Year: 1832 Ex: 41.238291","Age: 14 ex_fr_female$Type: Predicted Year: 1833 Ex: 44.463542","Age: 14 ex_fr_female$Type: Predicted Year: 1834 Ex: 43.129906","Age: 14 ex_fr_female$Type: Predicted Year: 1835 Ex: 44.578705","Age: 14 ex_fr_female$Type: Predicted Year: 1836 Ex: 45.952707","Age: 14 ex_fr_female$Type: Predicted Year: 1837 Ex: 43.516650","Age: 14 ex_fr_female$Type: Predicted Year: 1838 Ex: 44.820003","Age: 14 ex_fr_female$Type: Predicted Year: 1839 Ex: 45.425058","Age: 14 ex_fr_female$Type: Predicted Year: 1840 Ex: 44.489881","Age: 14 ex_fr_female$Type: Predicted Year: 1841 Ex: 45.487471","Age: 14 ex_fr_female$Type: Predicted Year: 1842 Ex: 44.774330","Age: 14 ex_fr_female$Type: Predicted Year: 1843 Ex: 45.312528","Age: 14 ex_fr_female$Type: Predicted Year: 1844 Ex: 45.829058","Age: 14 ex_fr_female$Type: Predicted Year: 1845 Ex: 46.361699","Age: 14 ex_fr_female$Type: Predicted Year: 1846 Ex: 45.123795","Age: 14 ex_fr_female$Type: Predicted Year: 1847 Ex: 44.027529","Age: 14 ex_fr_female$Type: Predicted Year: 1848 Ex: 44.482930","Age: 14 ex_fr_female$Type: Predicted Year: 1849 Ex: 41.520172","Age: 14 ex_fr_female$Type: Predicted Year: 1850 Ex: 46.094903","Age: 14 ex_fr_female$Type: Predicted Year: 1851 Ex: 45.900490","Age: 14 ex_fr_female$Type: Predicted Year: 1852 Ex: 45.503900","Age: 14 ex_fr_female$Type: Predicted Year: 1853 Ex: 45.173416","Age: 14 ex_fr_female$Type: Predicted Year: 1854 Ex: 41.111267","Age: 14 ex_fr_female$Type: Predicted Year: 1855 Ex: 43.232739","Age: 14 ex_fr_female$Type: Predicted Year: 1856 Ex: 45.044779","Age: 14 ex_fr_female$Type: Predicted Year: 1857 Ex: 44.666788","Age: 14 ex_fr_female$Type: Predicted Year: 1858 Ex: 44.281916","Age: 14 ex_fr_female$Type: Predicted Year: 1859 Ex: 43.829007","Age: 14 ex_fr_female$Type: Predicted Year: 1860 Ex: 46.303219","Age: 14 ex_fr_female$Type: Predicted Year: 1861 Ex: 45.853371","Age: 14 ex_fr_female$Type: Predicted Year: 1862 Ex: 46.394146","Age: 14 ex_fr_female$Type: Predicted Year: 1863 Ex: 46.179398","Age: 14 ex_fr_female$Type: Predicted Year: 1864 Ex: 45.732704","Age: 14 ex_fr_female$Type: Predicted Year: 1865 Ex: 44.885634","Age: 14 ex_fr_female$Type: Predicted Year: 1866 Ex: 44.971781","Age: 14 ex_fr_female$Type: Predicted Year: 1867 Ex: 46.188784","Age: 14 ex_fr_female$Type: Predicted Year: 1868 Ex: 45.509886","Age: 14 ex_fr_female$Type: Predicted Year: 1869 Ex: 45.622603","Age: 14 ex_fr_female$Type: Predicted Year: 1870 Ex: 42.627773","Age: 14 ex_fr_female$Type: Predicted Year: 1871 Ex: 38.263230","Age: 14 ex_fr_female$Type: Predicted Year: 1872 Ex: 46.503190","Age: 14 ex_fr_female$Type: Predicted Year: 1873 Ex: 45.885714","Age: 14 ex_fr_female$Type: Predicted Year: 1874 Ex: 46.951623","Age: 14 ex_fr_female$Type: Predicted Year: 1875 Ex: 45.975521","Age: 14 ex_fr_female$Type: Predicted Year: 1876 Ex: 46.409335","Age: 14 ex_fr_female$Type: Predicted Year: 1877 Ex: 46.958033","Age: 14 ex_fr_female$Type: Predicted Year: 1878 Ex: 46.567462","Age: 14 ex_fr_female$Type: Predicted Year: 1879 Ex: 46.405873","Age: 14 ex_fr_female$Type: Predicted Year: 1880 Ex: 46.477506","Age: 14 ex_fr_female$Type: Predicted Year: 1881 Ex: 46.853671","Age: 14 ex_fr_female$Type: Predicted Year: 1882 Ex: 46.689412","Age: 14 ex_fr_female$Type: Predicted Year: 1883 Ex: 46.676176","Age: 14 ex_fr_female$Type: Predicted Year: 1884 Ex: 46.713732","Age: 14 ex_fr_female$Type: Predicted Year: 1885 Ex: 46.915404","Age: 14 ex_fr_female$Type: Predicted Year: 1886 Ex: 46.609091","Age: 14 ex_fr_female$Type: Predicted Year: 1887 Ex: 46.843936","Age: 14 ex_fr_female$Type: Predicted Year: 1888 Ex: 47.348969","Age: 14 ex_fr_female$Type: Predicted Year: 1889 Ex: 48.038566","Age: 14 ex_fr_female$Type: Predicted Year: 1890 Ex: 46.860501","Age: 14 ex_fr_female$Type: Predicted Year: 1891 Ex: 46.662584","Age: 14 ex_fr_female$Type: Predicted Year: 1892 Ex: 46.998829","Age: 14 ex_fr_female$Type: Predicted Year: 1893 Ex: 47.026988","Age: 14 ex_fr_female$Type: Predicted Year: 1894 Ex: 47.905374","Age: 14 ex_fr_female$Type: Predicted Year: 1895 Ex: 47.471193","Age: 14 ex_fr_female$Type: Predicted Year: 1896 Ex: 48.613505","Age: 14 ex_fr_female$Type: Predicted Year: 1897 Ex: 49.348532","Age: 14 ex_fr_female$Type: Predicted Year: 1898 Ex: 48.527191","Age: 14 ex_fr_female$Type: Predicted Year: 1899 Ex: 48.217220","Age: 14 ex_fr_female$Type: Predicted Year: 1900 Ex: 47.356387","Age: 14 ex_fr_female$Type: Predicted Year: 1901 Ex: 48.499286","Age: 14 ex_fr_female$Type: Predicted Year: 1902 Ex: 48.875164","Age: 14 ex_fr_female$Type: Predicted Year: 1903 Ex: 49.086846","Age: 14 ex_fr_female$Type: Predicted Year: 1904 Ex: 49.068490","Age: 14 ex_fr_female$Type: Predicted Year: 1905 Ex: 48.756136","Age: 14 ex_fr_female$Type: Predicted Year: 1906 Ex: 48.777838","Age: 14 ex_fr_female$Type: Predicted Year: 1907 Ex: 48.322865","Age: 14 ex_fr_female$Type: Predicted Year: 1908 Ex: 49.349101","Age: 14 ex_fr_female$Type: Predicted Year: 1909 Ex: 49.165853","Age: 14 ex_fr_female$Type: Predicted Year: 1910 Ex: 50.223175","Age: 14 ex_fr_female$Type: Predicted Year: 1911 Ex: 49.544529","Age: 14 ex_fr_female$Type: Predicted Year: 1912 Ex: 50.466850","Age: 14 ex_fr_female$Type: Predicted Year: 1913 Ex: 50.555691","Age: 14 ex_fr_female$Type: Predicted Year: 1914 Ex: 49.836276","Age: 14 ex_fr_female$Type: Predicted Year: 1915 Ex: 49.770889","Age: 14 ex_fr_female$Type: Predicted Year: 1916 Ex: 50.381788","Age: 14 ex_fr_female$Type: Predicted Year: 1917 Ex: 50.290656","Age: 14 ex_fr_female$Type: Predicted Year: 1918 Ex: 42.914958","Age: 14 ex_fr_female$Type: Predicted Year: 1919 Ex: 48.625198","Age: 14 ex_fr_female$Type: Predicted Year: 1920 Ex: 50.945340","Age: 14 ex_fr_female$Type: Predicted Year: 1921 Ex: 51.260033","Age: 14 ex_fr_female$Type: Predicted Year: 1922 Ex: 50.978020","Age: 14 ex_fr_female$Type: Predicted Year: 1923 Ex: 51.850451","Age: 14 ex_fr_female$Type: Predicted Year: 1924 Ex: 51.516507","Age: 14 ex_fr_female$Type: Predicted Year: 1925 Ex: 51.355111","Age: 14 ex_fr_female$Type: Predicted Year: 1926 Ex: 51.318031","Age: 14 ex_fr_female$Type: Predicted Year: 1927 Ex: 52.050803","Age: 14 ex_fr_female$Type: Predicted Year: 1928 Ex: 52.334229","Age: 14 ex_fr_female$Type: Predicted Year: 1929 Ex: 51.372652","Age: 14 ex_fr_female$Type: Predicted Year: 1930 Ex: 53.063386","Age: 14 ex_fr_female$Type: Predicted Year: 1931 Ex: 52.595864","Age: 14 ex_fr_female$Type: Predicted Year: 1932 Ex: 53.176692","Age: 14 ex_fr_female$Type: Predicted Year: 1933 Ex: 53.305245","Age: 14 ex_fr_female$Type: Predicted Year: 1934 Ex: 54.128518","Age: 14 ex_fr_female$Type: Predicted Year: 1935 Ex: 53.632039","Age: 14 ex_fr_female$Type: Predicted Year: 1936 Ex: 54.243215","Age: 14 ex_fr_female$Type: Predicted Year: 1937 Ex: 54.533080","Age: 14 ex_fr_female$Type: Predicted Year: 1938 Ex: 54.377073","Age: 14 ex_fr_female$Type: Predicted Year: 1939 Ex: 54.655598","Age: 14 ex_fr_female$Type: Predicted Year: 1940 Ex: 52.762463","Age: 14 ex_fr_female$Type: Predicted Year: 1941 Ex: 54.154983","Age: 14 ex_fr_female$Type: Predicted Year: 1942 Ex: 54.214238","Age: 14 ex_fr_female$Type: Predicted Year: 1943 Ex: 51.150573","Age: 14 ex_fr_female$Type: Predicted Year: 1944 Ex: 46.695690","Age: 14 ex_fr_female$Type: Predicted Year: 1945 Ex: 53.925621","Age: 14 ex_fr_female$Type: Predicted Year: 1946 Ex: 57.910251","Age: 14 ex_fr_female$Type: Predicted Year: 1947 Ex: 58.634045","Age: 14 ex_fr_female$Type: Predicted Year: 1948 Ex: 59.492115","Age: 14 ex_fr_female$Type: Predicted Year: 1949 Ex: 58.601366","Age: 14 ex_fr_female$Type: Predicted Year: 1950 Ex: 59.566344","Age: 14 ex_fr_female$Type: Predicted Year: 1951 Ex: 59.162248","Age: 14 ex_fr_female$Type: Predicted Year: 1952 Ex: 60.229213","Age: 14 ex_fr_female$Type: Predicted Year: 1953 Ex: 59.796036","Age: 14 ex_fr_female$Type: Predicted Year: 1954 Ex: 60.766677","Age: 14 ex_fr_female$Type: Predicted Year: 1955 Ex: 60.929095","Age: 14 ex_fr_female$Type: Predicted Year: 1956 Ex: 60.814758","Age: 14 ex_fr_female$Type: Predicted Year: 1957 Ex: 61.275588","Age: 14 ex_fr_female$Type: Predicted Year: 1958 Ex: 62.099201","Age: 14 ex_fr_female$Type: Predicted Year: 1959 Ex: 62.118695","Age: 14 ex_fr_female$Type: Predicted Year: 1960 Ex: 62.123944","Age: 14 ex_fr_female$Type: Predicted Year: 1961 Ex: 62.802086","Age: 14 ex_fr_female$Type: Predicted Year: 1962 Ex: 62.281512","Age: 14 ex_fr_female$Type: Predicted Year: 1963 Ex: 62.201952","Age: 14 ex_fr_female$Type: Predicted Year: 1964 Ex: 63.054849","Age: 14 ex_fr_female$Type: Predicted Year: 1965 Ex: 62.821541","Age: 14 ex_fr_female$Type: Predicted Year: 1966 Ex: 63.253897","Age: 14 ex_fr_female$Type: Predicted Year: 1967 Ex: 63.210471","Age: 14 ex_fr_female$Type: Predicted Year: 1968 Ex: 63.242584","Age: 14 ex_fr_female$Type: Predicted Year: 1969 Ex: 63.018759","Age: 14 ex_fr_female$Type: Predicted Year: 1970 Ex: 63.672861","Age: 14 ex_fr_female$Type: Predicted Year: 1971 Ex: 63.686767","Age: 14 ex_fr_female$Type: Predicted Year: 1972 Ex: 63.901847","Age: 14 ex_fr_female$Type: Predicted Year: 1973 Ex: 63.984427","Age: 14 ex_fr_female$Type: Predicted Year: 1974 Ex: 64.322110","Age: 14 ex_fr_female$Type: Predicted Year: 1975 Ex: 64.372039","Age: 14 ex_fr_female$Type: Predicted Year: 1976 Ex: 64.629071","Age: 14 ex_fr_female$Type: Predicted Year: 1977 Ex: 65.209927","Age: 14 ex_fr_female$Type: Predicted Year: 1978 Ex: 65.254905","Age: 14 ex_fr_female$Type: Predicted Year: 1979 Ex: 65.538640","Age: 14 ex_fr_female$Type: Predicted Year: 1980 Ex: 65.660748","Age: 14 ex_fr_female$Type: Predicted Year: 1981 Ex: 65.716162","Age: 14 ex_fr_female$Type: Predicted Year: 1982 Ex: 66.076387","Age: 14 ex_fr_female$Type: Predicted Year: 1983 Ex: 65.976644","Age: 14 ex_fr_female$Type: Predicted Year: 1984 Ex: 66.462196","Age: 14 ex_fr_female$Type: Predicted Year: 1985 Ex: 66.525694","Age: 14 ex_fr_female$Type: Predicted Year: 1986 Ex: 66.773227","Age: 14 ex_fr_female$Type: Predicted Year: 1987 Ex: 67.311009","Age: 14 ex_fr_female$Type: Predicted Year: 1988 Ex: 67.510631","Age: 14 ex_fr_female$Type: Predicted Year: 1989 Ex: 67.668137","Age: 14 ex_fr_female$Type: Predicted Year: 1990 Ex: 67.931700","Age: 14 ex_fr_female$Type: Predicted Year: 1991 Ex: 68.144706","Age: 14 ex_fr_female$Type: Predicted Year: 1992 Ex: 68.364157","Age: 14 ex_fr_female$Type: Predicted Year: 1993 Ex: 68.335803","Age: 14 ex_fr_female$Type: Predicted Year: 1994 Ex: 68.733724","Age: 14 ex_fr_female$Type: Predicted Year: 1995 Ex: 68.693818","Age: 14 ex_fr_female$Type: Predicted Year: 1996 Ex: 68.801734","Age: 14 ex_fr_female$Type: Predicted Year: 1997 Ex: 69.062630","Age: 14 ex_fr_female$Type: Predicted Year: 1998 Ex: 69.158230","Age: 14 ex_fr_female$Type: Predicted Year: 1999 Ex: 69.237584","Age: 14 ex_fr_female$Type: Predicted Year: 2000 Ex: 69.522234","Age: 14 ex_fr_female$Type: Predicted Year: 2001 Ex: 69.667320","Age: 14 ex_fr_female$Type: Predicted Year: 2002 Ex: 69.735766","Age: 14 ex_fr_female$Type: Predicted Year: 2003 Ex: 69.628865","Age: 14 ex_fr_female$Type: Predicted Year: 2004 Ex: 70.527219","Age: 14 ex_fr_female$Type: Predicted Year: 2005 Ex: 70.454510","Age: 14 ex_fr_female$Type: Predicted Year: 2006 Ex: 70.818467","Age: 14 ex_fr_female$Type: Predicted Year: 2007 Ex: 70.999828","Age: 14 ex_fr_female$Type: Predicted Year: 2008 Ex: 70.972155","Age: 14 ex_fr_female$Type: Predicted Year: 2009 Ex: 71.061350","Age: 14 ex_fr_female$Type: Predicted Year: 2010 Ex: 71.283850","Age: 14 ex_fr_female$Type: Predicted Year: 2011 Ex: 71.600261","Age: 14 ex_fr_female$Type: Predicted Year: 2012 Ex: 71.455787","Age: 14 ex_fr_female$Type: Predicted Year: 2013 Ex: 71.674435","Age: 14 ex_fr_female$Type: Predicted Year: 2014 Ex: 72.047363","Age: 14 ex_fr_female$Type: Predicted Year: 2015 Ex: 71.763971","Age: 14 ex_fr_female$Type: Predicted Year: 2016 Ex: 71.943113","Age: 14 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1926 Ex: 50.240000","Age: 15 ex_fr_female$Type: Observed Year: 1927 Ex: 50.950000","Age: 15 ex_fr_female$Type: Observed Year: 1928 Ex: 51.240000","Age: 15 ex_fr_female$Type: Observed Year: 1929 Ex: 50.270000","Age: 15 ex_fr_female$Type: Observed Year: 1930 Ex: 51.960000","Age: 15 ex_fr_female$Type: Observed Year: 1931 Ex: 51.480000","Age: 15 ex_fr_female$Type: Observed Year: 1932 Ex: 52.050000","Age: 15 ex_fr_female$Type: Observed Year: 1933 Ex: 52.170000","Age: 15 ex_fr_female$Type: Observed Year: 1934 Ex: 53.000000","Age: 15 ex_fr_female$Type: Observed Year: 1935 Ex: 52.490000","Age: 15 ex_fr_female$Type: Observed Year: 1936 Ex: 53.100000","Age: 15 ex_fr_female$Type: Observed Year: 1937 Ex: 53.390000","Age: 15 ex_fr_female$Type: Observed Year: 1938 Ex: 53.230000","Age: 15 ex_fr_female$Type: Observed Year: 1939 Ex: 53.500000","Age: 15 ex_fr_female$Type: Observed Year: 1940 Ex: 51.620000","Age: 15 ex_fr_female$Type: Observed Year: 1941 Ex: 53.000000","Age: 15 ex_fr_female$Type: Observed Year: 1942 Ex: 53.060000","Age: 15 ex_fr_female$Type: Observed Year: 1943 Ex: 50.020000","Age: 15 ex_fr_female$Type: Observed Year: 1944 Ex: 45.590000","Age: 15 ex_fr_female$Type: Observed Year: 1945 Ex: 52.780000","Age: 15 ex_fr_female$Type: Observed Year: 1946 Ex: 56.720000","Age: 15 ex_fr_female$Type: Observed Year: 1947 Ex: 57.440000","Age: 15 ex_fr_female$Type: Observed Year: 1948 Ex: 58.290000","Age: 15 ex_fr_female$Type: Observed Year: 1949 Ex: 57.400000","Age: 15 ex_fr_female$Type: Observed Year: 1950 Ex: 58.350000","Age: 15 ex_fr_female$Type: Observed Year: 1951 Ex: 57.950000","Age: 15 ex_fr_female$Type: Observed Year: 1952 Ex: 59.010000","Age: 15 ex_fr_female$Type: Observed Year: 1953 Ex: 58.570000","Age: 15 ex_fr_female$Type: Observed Year: 1954 Ex: 59.540000","Age: 15 ex_fr_female$Type: Observed Year: 1955 Ex: 59.700000","Age: 15 ex_fr_female$Type: Observed Year: 1956 Ex: 59.580000","Age: 15 ex_fr_female$Type: Observed Year: 1957 Ex: 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1973 Ex: 62.750000","Age: 15 ex_fr_female$Type: Observed Year: 1974 Ex: 63.090000","Age: 15 ex_fr_female$Type: Observed Year: 1975 Ex: 63.140000","Age: 15 ex_fr_female$Type: Observed Year: 1976 Ex: 63.400000","Age: 15 ex_fr_female$Type: Observed Year: 1977 Ex: 63.980000","Age: 15 ex_fr_female$Type: Observed Year: 1978 Ex: 64.020000","Age: 15 ex_fr_female$Type: Observed Year: 1979 Ex: 64.310000","Age: 15 ex_fr_female$Type: Observed Year: 1980 Ex: 64.430000","Age: 15 ex_fr_female$Type: Observed Year: 1981 Ex: 64.480000","Age: 15 ex_fr_female$Type: Observed Year: 1982 Ex: 64.840000","Age: 15 ex_fr_female$Type: Observed Year: 1983 Ex: 64.740000","Age: 15 ex_fr_female$Type: Observed Year: 1984 Ex: 65.220000","Age: 15 ex_fr_female$Type: Observed Year: 1985 Ex: 65.290000","Age: 15 ex_fr_female$Type: Observed Year: 1986 Ex: 65.540000","Age: 15 ex_fr_female$Type: Observed Year: 1987 Ex: 66.070000","Age: 15 ex_fr_female$Type: Observed Year: 1988 Ex: 66.270000","Age: 15 ex_fr_female$Type: Observed Year: 1989 Ex: 66.430000","Age: 15 ex_fr_female$Type: Observed Year: 1990 Ex: 66.690000","Age: 15 ex_fr_female$Type: Observed Year: 1991 Ex: 66.900000","Age: 15 ex_fr_female$Type: Observed Year: 1992 Ex: 67.120000","Age: 15 ex_fr_female$Type: Observed Year: 1993 Ex: 67.090000","Age: 15 ex_fr_female$Type: Observed Year: 1994 Ex: 67.500000","Age: 15 ex_fr_female$Type: Observed Year: 1995 Ex: 67.460000","Age: 15 ex_fr_female$Type: Observed Year: 1996 Ex: 67.560000","Age: 15 ex_fr_female$Type: Observed Year: 1997 Ex: 67.820000","Age: 15 ex_fr_female$Type: Observed Year: 1998 Ex: 67.920000","Age: 15 ex_fr_female$Type: Observed Year: 1999 Ex: 68.000000","Age: 15 ex_fr_female$Type: Observed Year: 2000 Ex: 68.280000","Age: 15 ex_fr_female$Type: Observed Year: 2001 Ex: 68.430000","Age: 15 ex_fr_female$Type: Observed Year: 2002 Ex: 68.490000","Age: 15 ex_fr_female$Type: Observed Year: 2003 Ex: 68.390000","Age: 15 ex_fr_female$Type: Observed Year: 2004 Ex: 69.290000","Age: 15 ex_fr_female$Type: Observed Year: 2005 Ex: 69.210000","Age: 15 ex_fr_female$Type: Observed Year: 2006 Ex: 69.570000","Age: 15 ex_fr_female$Type: Observed Year: 2007 Ex: 69.760000","Age: 15 ex_fr_female$Type: Observed Year: 2008 Ex: 69.730000","Age: 15 ex_fr_female$Type: Observed Year: 2009 Ex: 69.820000","Age: 15 ex_fr_female$Type: Observed Year: 2010 Ex: 70.040000","Age: 15 ex_fr_female$Type: Observed Year: 2011 Ex: 70.360000","Age: 15 ex_fr_female$Type: Observed Year: 2012 Ex: 70.210000","Age: 15 ex_fr_female$Type: Observed Year: 2013 Ex: 70.430000","Age: 15 ex_fr_female$Type: Observed Year: 2014 Ex: 70.800000","Age: 15 ex_fr_female$Type: Observed Year: 2015 Ex: 70.520000","Age: 15 ex_fr_female$Type: Observed Year: 2016 Ex: 70.700000","Age: 15 ex_fr_female$Type: Observed Year: 2017 Ex: 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15 ex_fr_female$Type: Predicted Year: 1816 Ex: 44.230777","Age: 15 ex_fr_female$Type: Predicted Year: 1817 Ex: 43.952143","Age: 15 ex_fr_female$Type: Predicted Year: 1818 Ex: 43.521732","Age: 15 ex_fr_female$Type: Predicted Year: 1819 Ex: 43.514746","Age: 15 ex_fr_female$Type: Predicted Year: 1820 Ex: 43.950780","Age: 15 ex_fr_female$Type: Predicted Year: 1821 Ex: 44.898929","Age: 15 ex_fr_female$Type: Predicted Year: 1822 Ex: 44.626523","Age: 15 ex_fr_female$Type: Predicted Year: 1823 Ex: 45.464703","Age: 15 ex_fr_female$Type: Predicted Year: 1824 Ex: 45.400895","Age: 15 ex_fr_female$Type: Predicted Year: 1825 Ex: 44.528049","Age: 15 ex_fr_female$Type: Predicted Year: 1826 Ex: 43.669680","Age: 15 ex_fr_female$Type: Predicted Year: 1827 Ex: 44.140895","Age: 15 ex_fr_female$Type: Predicted Year: 1828 Ex: 43.811471","Age: 15 ex_fr_female$Type: Predicted Year: 1829 Ex: 44.002466","Age: 15 ex_fr_female$Type: Predicted Year: 1830 Ex: 43.998564","Age: 15 ex_fr_female$Type: Predicted Year: 1831 Ex: 44.437644","Age: 15 ex_fr_female$Type: Predicted Year: 1832 Ex: 40.484276","Age: 15 ex_fr_female$Type: Predicted Year: 1833 Ex: 43.717945","Age: 15 ex_fr_female$Type: Predicted Year: 1834 Ex: 42.427646","Age: 15 ex_fr_female$Type: Predicted Year: 1835 Ex: 43.829785","Age: 15 ex_fr_female$Type: Predicted Year: 1836 Ex: 45.186023","Age: 15 ex_fr_female$Type: Predicted Year: 1837 Ex: 42.774661","Age: 15 ex_fr_female$Type: Predicted Year: 1838 Ex: 44.086277","Age: 15 ex_fr_female$Type: Predicted Year: 1839 Ex: 44.696324","Age: 15 ex_fr_female$Type: Predicted Year: 1840 Ex: 43.768336","Age: 15 ex_fr_female$Type: Predicted Year: 1841 Ex: 44.760019","Age: 15 ex_fr_female$Type: Predicted Year: 1842 Ex: 44.045229","Age: 15 ex_fr_female$Type: Predicted Year: 1843 Ex: 44.587172","Age: 15 ex_fr_female$Type: Predicted Year: 1844 Ex: 45.079966","Age: 15 ex_fr_female$Type: Predicted Year: 1845 Ex: 45.620168","Age: 15 ex_fr_female$Type: Predicted Year: 1846 Ex: 44.419737","Age: 15 ex_fr_female$Type: Predicted Year: 1847 Ex: 43.300867","Age: 15 ex_fr_female$Type: Predicted Year: 1848 Ex: 43.744524","Age: 15 ex_fr_female$Type: Predicted Year: 1849 Ex: 40.805430","Age: 15 ex_fr_female$Type: Predicted Year: 1850 Ex: 45.332157","Age: 15 ex_fr_female$Type: Predicted Year: 1851 Ex: 45.145860","Age: 15 ex_fr_female$Type: Predicted Year: 1852 Ex: 44.767945","Age: 15 ex_fr_female$Type: Predicted Year: 1853 Ex: 44.466089","Age: 15 ex_fr_female$Type: Predicted Year: 1854 Ex: 40.430093","Age: 15 ex_fr_female$Type: Predicted Year: 1855 Ex: 42.557024","Age: 15 ex_fr_female$Type: Predicted Year: 1856 Ex: 44.350511","Age: 15 ex_fr_female$Type: Predicted Year: 1857 Ex: 43.971260","Age: 15 ex_fr_female$Type: Predicted Year: 1858 Ex: 43.557732","Age: 15 ex_fr_female$Type: Predicted Year: 1859 Ex: 43.142540","Age: 15 ex_fr_female$Type: Predicted Year: 1860 Ex: 45.565043","Age: 15 ex_fr_female$Type: Predicted Year: 1861 Ex: 45.141826","Age: 15 ex_fr_female$Type: Predicted Year: 1862 Ex: 45.675880","Age: 15 ex_fr_female$Type: Predicted Year: 1863 Ex: 45.456596","Age: 15 ex_fr_female$Type: Predicted Year: 1864 Ex: 44.994907","Age: 15 ex_fr_female$Type: Predicted Year: 1865 Ex: 44.168380","Age: 15 ex_fr_female$Type: Predicted Year: 1866 Ex: 44.230467","Age: 15 ex_fr_female$Type: Predicted Year: 1867 Ex: 45.429741","Age: 15 ex_fr_female$Type: Predicted Year: 1868 Ex: 44.769892","Age: 15 ex_fr_female$Type: Predicted Year: 1869 Ex: 44.879175","Age: 15 ex_fr_female$Type: Predicted Year: 1870 Ex: 41.927522","Age: 15 ex_fr_female$Type: Predicted Year: 1871 Ex: 37.628268","Age: 15 ex_fr_female$Type: Predicted Year: 1872 Ex: 45.750892","Age: 15 ex_fr_female$Type: Predicted Year: 1873 Ex: 45.138305","Age: 15 ex_fr_female$Type: Predicted Year: 1874 Ex: 46.173260","Age: 15 ex_fr_female$Type: Predicted Year: 1875 Ex: 45.192957","Age: 15 ex_fr_female$Type: Predicted Year: 1876 Ex: 45.643148","Age: 15 ex_fr_female$Type: Predicted Year: 1877 Ex: 46.191839","Age: 15 ex_fr_female$Type: Predicted Year: 1878 Ex: 45.803469","Age: 15 ex_fr_female$Type: Predicted Year: 1879 Ex: 45.636439","Age: 15 ex_fr_female$Type: Predicted Year: 1880 Ex: 45.707508","Age: 15 ex_fr_female$Type: Predicted Year: 1881 Ex: 46.084157","Age: 15 ex_fr_female$Type: Predicted Year: 1882 Ex: 45.921866","Age: 15 ex_fr_female$Type: Predicted Year: 1883 Ex: 45.909027","Age: 15 ex_fr_female$Type: Predicted Year: 1884 Ex: 45.946309","Age: 15 ex_fr_female$Type: Predicted Year: 1885 Ex: 46.157393","Age: 15 ex_fr_female$Type: Predicted Year: 1886 Ex: 45.888433","Age: 15 ex_fr_female$Type: Predicted Year: 1887 Ex: 46.087416","Age: 15 ex_fr_female$Type: Predicted Year: 1888 Ex: 46.595102","Age: 15 ex_fr_female$Type: Predicted Year: 1889 Ex: 47.257270","Age: 15 ex_fr_female$Type: Predicted Year: 1890 Ex: 46.092418","Age: 15 ex_fr_female$Type: Predicted Year: 1891 Ex: 45.894904","Age: 15 ex_fr_female$Type: Predicted Year: 1892 Ex: 46.221158","Age: 15 ex_fr_female$Type: Predicted Year: 1893 Ex: 46.246648","Age: 15 ex_fr_female$Type: Predicted Year: 1894 Ex: 47.112989","Age: 15 ex_fr_female$Type: Predicted Year: 1895 Ex: 46.683040","Age: 15 ex_fr_female$Type: Predicted Year: 1896 Ex: 47.801997","Age: 15 ex_fr_female$Type: Predicted Year: 1897 Ex: 48.529116","Age: 15 ex_fr_female$Type: Predicted Year: 1898 Ex: 47.712935","Age: 15 ex_fr_female$Type: Predicted Year: 1899 Ex: 47.413262","Age: 15 ex_fr_female$Type: Predicted Year: 1900 Ex: 46.546070","Age: 15 ex_fr_female$Type: Predicted Year: 1901 Ex: 47.688776","Age: 15 ex_fr_female$Type: Predicted Year: 1902 Ex: 48.074395","Age: 15 ex_fr_female$Type: Predicted Year: 1903 Ex: 48.282558","Age: 15 ex_fr_female$Type: Predicted Year: 1904 Ex: 48.256815","Age: 15 ex_fr_female$Type: Predicted Year: 1905 Ex: 47.935015","Age: 15 ex_fr_female$Type: Predicted Year: 1906 Ex: 47.954374","Age: 15 ex_fr_female$Type: Predicted Year: 1907 Ex: 47.512140","Age: 15 ex_fr_female$Type: Predicted Year: 1908 Ex: 48.515960","Age: 15 ex_fr_female$Type: Predicted Year: 1909 Ex: 48.328669","Age: 15 ex_fr_female$Type: Predicted Year: 1910 Ex: 49.383043","Age: 15 ex_fr_female$Type: Predicted Year: 1911 Ex: 48.713533","Age: 15 ex_fr_female$Type: Predicted Year: 1912 Ex: 49.636024","Age: 15 ex_fr_female$Type: Predicted Year: 1913 Ex: 49.714117","Age: 15 ex_fr_female$Type: Predicted Year: 1914 Ex: 49.009256","Age: 15 ex_fr_female$Type: Predicted Year: 1915 Ex: 48.965399","Age: 15 ex_fr_female$Type: Predicted Year: 1916 Ex: 49.573703","Age: 15 ex_fr_female$Type: Predicted Year: 1917 Ex: 49.493218","Age: 15 ex_fr_female$Type: Predicted Year: 1918 Ex: 42.236832","Age: 15 ex_fr_female$Type: Predicted Year: 1919 Ex: 47.842733","Age: 15 ex_fr_female$Type: Predicted Year: 1920 Ex: 50.112084","Age: 15 ex_fr_female$Type: Predicted Year: 1921 Ex: 50.416106","Age: 15 ex_fr_female$Type: Predicted Year: 1922 Ex: 50.127150","Age: 15 ex_fr_female$Type: Predicted Year: 1923 Ex: 51.000614","Age: 15 ex_fr_female$Type: Predicted Year: 1924 Ex: 50.670298","Age: 15 ex_fr_female$Type: Predicted Year: 1925 Ex: 50.499745","Age: 15 ex_fr_female$Type: Predicted Year: 1926 Ex: 50.480399","Age: 15 ex_fr_female$Type: Predicted Year: 1927 Ex: 51.189145","Age: 15 ex_fr_female$Type: Predicted Year: 1928 Ex: 51.475930","Age: 15 ex_fr_female$Type: Predicted Year: 1929 Ex: 50.506113","Age: 15 ex_fr_female$Type: Predicted Year: 1930 Ex: 52.198648","Age: 15 ex_fr_female$Type: Predicted Year: 1931 Ex: 51.721566","Age: 15 ex_fr_female$Type: Predicted Year: 1932 Ex: 52.290068","Age: 15 ex_fr_female$Type: Predicted Year: 1933 Ex: 52.412549","Age: 15 ex_fr_female$Type: Predicted Year: 1934 Ex: 53.236957","Age: 15 ex_fr_female$Type: Predicted Year: 1935 Ex: 52.734683","Age: 15 ex_fr_female$Type: Predicted Year: 1936 Ex: 53.338963","Age: 15 ex_fr_female$Type: Predicted Year: 1937 Ex: 53.626638","Age: 15 ex_fr_female$Type: Predicted Year: 1938 Ex: 53.467123","Age: 15 ex_fr_female$Type: Predicted Year: 1939 Ex: 53.740689","Age: 15 ex_fr_female$Type: Predicted Year: 1940 Ex: 51.858714","Age: 15 ex_fr_female$Type: Predicted Year: 1941 Ex: 53.243587","Age: 15 ex_fr_female$Type: Predicted Year: 1942 Ex: 53.302401","Age: 15 ex_fr_female$Type: Predicted Year: 1943 Ex: 50.266188","Age: 15 ex_fr_female$Type: Predicted Year: 1944 Ex: 45.843753","Age: 15 ex_fr_female$Type: Predicted Year: 1945 Ex: 53.022409","Age: 15 ex_fr_female$Type: Predicted Year: 1946 Ex: 56.968265","Age: 15 ex_fr_female$Type: Predicted Year: 1947 Ex: 57.692208","Age: 15 ex_fr_female$Type: Predicted Year: 1948 Ex: 58.538737","Age: 15 ex_fr_female$Type: Predicted Year: 1949 Ex: 57.650773","Age: 15 ex_fr_female$Type: Predicted Year: 1950 Ex: 58.598249","Age: 15 ex_fr_female$Type: Predicted Year: 1951 Ex: 58.197456","Age: 15 ex_fr_female$Type: Predicted Year: 1952 Ex: 59.256097","Age: 15 ex_fr_female$Type: Predicted Year: 1953 Ex: 58.822132","Age: 15 ex_fr_female$Type: Predicted Year: 1954 Ex: 59.794406","Age: 15 ex_fr_female$Type: Predicted Year: 1955 Ex: 59.951458","Age: 15 ex_fr_female$Type: Predicted Year: 1956 Ex: 59.834665","Age: 15 ex_fr_female$Type: Predicted Year: 1957 Ex: 60.297472","Age: 15 ex_fr_female$Type: Predicted Year: 1958 Ex: 61.115835","Age: 15 ex_fr_female$Type: Predicted Year: 1959 Ex: 61.140266","Age: 15 ex_fr_female$Type: Predicted Year: 1960 Ex: 61.141817","Age: 15 ex_fr_female$Type: Predicted Year: 1961 Ex: 61.820780","Age: 15 ex_fr_female$Type: Predicted Year: 1962 Ex: 61.300667","Age: 15 ex_fr_female$Type: Predicted Year: 1963 Ex: 61.220465","Age: 15 ex_fr_female$Type: Predicted Year: 1964 Ex: 62.075496","Age: 15 ex_fr_female$Type: Predicted Year: 1965 Ex: 61.840240","Age: 15 ex_fr_female$Type: Predicted Year: 1966 Ex: 62.270843","Age: 15 ex_fr_female$Type: Predicted Year: 1967 Ex: 62.230542","Age: 15 ex_fr_female$Type: Predicted Year: 1968 Ex: 62.261410","Age: 15 ex_fr_female$Type: Predicted Year: 1969 Ex: 62.040019","Age: 15 ex_fr_female$Type: Predicted Year: 1970 Ex: 62.693080","Age: 15 ex_fr_female$Type: Predicted Year: 1971 Ex: 62.708254","Age: 15 ex_fr_female$Type: Predicted Year: 1972 Ex: 62.923407","Age: 15 ex_fr_female$Type: Predicted Year: 1973 Ex: 63.001570","Age: 15 ex_fr_female$Type: Predicted Year: 1974 Ex: 63.342536","Age: 15 ex_fr_female$Type: Predicted Year: 1975 Ex: 63.390564","Age: 15 ex_fr_female$Type: Predicted Year: 1976 Ex: 63.650237","Age: 15 ex_fr_female$Type: Predicted Year: 1977 Ex: 64.229990","Age: 15 ex_fr_female$Type: Predicted Year: 1978 Ex: 64.275630","Age: 15 ex_fr_female$Type: Predicted Year: 1979 Ex: 64.559455","Age: 15 ex_fr_female$Type: Predicted Year: 1980 Ex: 64.680299","Age: 15 ex_fr_female$Type: Predicted Year: 1981 Ex: 64.735730","Age: 15 ex_fr_female$Type: Predicted Year: 1982 Ex: 65.095407","Age: 15 ex_fr_female$Type: Predicted Year: 1983 Ex: 64.992360","Age: 15 ex_fr_female$Type: Predicted Year: 1984 Ex: 65.477369","Age: 15 ex_fr_female$Type: Predicted Year: 1985 Ex: 65.542863","Age: 15 ex_fr_female$Type: Predicted Year: 1986 Ex: 65.791124","Age: 15 ex_fr_female$Type: Predicted Year: 1987 Ex: 66.325709","Age: 15 ex_fr_female$Type: Predicted Year: 1988 Ex: 66.522694","Age: 15 ex_fr_female$Type: Predicted Year: 1989 Ex: 66.683587","Age: 15 ex_fr_female$Type: Predicted Year: 1990 Ex: 66.943165","Age: 15 ex_fr_female$Type: Predicted Year: 1991 Ex: 67.156883","Age: 15 ex_fr_female$Type: Predicted Year: 1992 Ex: 67.377052","Age: 15 ex_fr_female$Type: Predicted Year: 1993 Ex: 67.347336","Age: 15 ex_fr_female$Type: Predicted Year: 1994 Ex: 67.746007","Age: 15 ex_fr_female$Type: Predicted Year: 1995 Ex: 67.706776","Age: 15 ex_fr_female$Type: Predicted Year: 1996 Ex: 67.812663","Age: 15 ex_fr_female$Type: Predicted Year: 1997 Ex: 68.072915","Age: 15 ex_fr_female$Type: Predicted Year: 1998 Ex: 68.171277","Age: 15 ex_fr_female$Type: Predicted Year: 1999 Ex: 68.247208","Age: 15 ex_fr_female$Type: Predicted Year: 2000 Ex: 68.531898","Age: 15 ex_fr_female$Type: Predicted Year: 2001 Ex: 68.679771","Age: 15 ex_fr_female$Type: Predicted Year: 2002 Ex: 68.746152","Age: 15 ex_fr_female$Type: Predicted Year: 2003 Ex: 68.639235","Age: 15 ex_fr_female$Type: Predicted Year: 2004 Ex: 69.534922","Age: 15 ex_fr_female$Type: Predicted Year: 2005 Ex: 69.463605","Age: 15 ex_fr_female$Type: Predicted Year: 2006 Ex: 69.825499","Age: 15 ex_fr_female$Type: Predicted Year: 2007 Ex: 70.008289","Age: 15 ex_fr_female$Type: Predicted Year: 2008 Ex: 69.978497","Age: 15 ex_fr_female$Type: Predicted Year: 2009 Ex: 70.071229","Age: 15 ex_fr_female$Type: Predicted Year: 2010 Ex: 70.290221","Age: 15 ex_fr_female$Type: Predicted Year: 2011 Ex: 70.607371","Age: 15 ex_fr_female$Type: Predicted Year: 2012 Ex: 70.464302","Age: 15 ex_fr_female$Type: Predicted Year: 2013 Ex: 70.682977","Age: 15 ex_fr_female$Type: Predicted Year: 2014 Ex: 71.053087","Age: 15 ex_fr_female$Type: Predicted Year: 2015 Ex: 70.771098","Age: 15 ex_fr_female$Type: Predicted Year: 2016 Ex: 70.950973","Age: 15 ex_fr_female$Type: Predicted Year: 2017 Ex: 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43.470000","Age: 16 ex_fr_female$Type: Observed Year: 1832 Ex: 39.500000","Age: 16 ex_fr_female$Type: Observed Year: 1833 Ex: 42.740000","Age: 16 ex_fr_female$Type: Observed Year: 1834 Ex: 41.490000","Age: 16 ex_fr_female$Type: Observed Year: 1835 Ex: 42.850000","Age: 16 ex_fr_female$Type: Observed Year: 1836 Ex: 44.180000","Age: 16 ex_fr_female$Type: Observed Year: 1837 Ex: 41.800000","Age: 16 ex_fr_female$Type: Observed Year: 1838 Ex: 43.110000","Age: 16 ex_fr_female$Type: Observed Year: 1839 Ex: 43.730000","Age: 16 ex_fr_female$Type: Observed Year: 1840 Ex: 42.820000","Age: 16 ex_fr_female$Type: Observed Year: 1841 Ex: 43.800000","Age: 16 ex_fr_female$Type: Observed Year: 1842 Ex: 43.080000","Age: 16 ex_fr_female$Type: Observed Year: 1843 Ex: 43.630000","Age: 16 ex_fr_female$Type: Observed Year: 1844 Ex: 44.100000","Age: 16 ex_fr_female$Type: Observed Year: 1845 Ex: 44.640000","Age: 16 ex_fr_female$Type: Observed Year: 1846 Ex: 43.490000","Age: 16 ex_fr_female$Type: Observed Year: 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Observed Year: 1926 Ex: 49.430000","Age: 16 ex_fr_female$Type: Observed Year: 1927 Ex: 50.110000","Age: 16 ex_fr_female$Type: Observed Year: 1928 Ex: 50.410000","Age: 16 ex_fr_female$Type: Observed Year: 1929 Ex: 49.440000","Age: 16 ex_fr_female$Type: Observed Year: 1930 Ex: 51.110000","Age: 16 ex_fr_female$Type: Observed Year: 1931 Ex: 50.640000","Age: 16 ex_fr_female$Type: Observed Year: 1932 Ex: 51.190000","Age: 16 ex_fr_female$Type: Observed Year: 1933 Ex: 51.310000","Age: 16 ex_fr_female$Type: Observed Year: 1934 Ex: 52.110000","Age: 16 ex_fr_female$Type: Observed Year: 1935 Ex: 51.610000","Age: 16 ex_fr_female$Type: Observed Year: 1936 Ex: 52.200000","Age: 16 ex_fr_female$Type: Observed Year: 1937 Ex: 52.500000","Age: 16 ex_fr_female$Type: Observed Year: 1938 Ex: 52.330000","Age: 16 ex_fr_female$Type: Observed Year: 1939 Ex: 52.600000","Age: 16 ex_fr_female$Type: Observed Year: 1940 Ex: 50.740000","Age: 16 ex_fr_female$Type: Observed Year: 1941 Ex: 52.110000","Age: 16 ex_fr_female$Type: Observed Year: 1942 Ex: 52.170000","Age: 16 ex_fr_female$Type: Observed Year: 1943 Ex: 49.150000","Age: 16 ex_fr_female$Type: Observed Year: 1944 Ex: 44.770000","Age: 16 ex_fr_female$Type: Observed Year: 1945 Ex: 51.880000","Age: 16 ex_fr_female$Type: Observed Year: 1946 Ex: 55.800000","Age: 16 ex_fr_female$Type: Observed Year: 1947 Ex: 56.500000","Age: 16 ex_fr_female$Type: Observed Year: 1948 Ex: 57.340000","Age: 16 ex_fr_female$Type: Observed Year: 1949 Ex: 56.450000","Age: 16 ex_fr_female$Type: Observed Year: 1950 Ex: 57.390000","Age: 16 ex_fr_female$Type: Observed Year: 1951 Ex: 56.990000","Age: 16 ex_fr_female$Type: Observed Year: 1952 Ex: 58.040000","Age: 16 ex_fr_female$Type: Observed Year: 1953 Ex: 57.600000","Age: 16 ex_fr_female$Type: Observed Year: 1954 Ex: 58.570000","Age: 16 ex_fr_female$Type: Observed Year: 1955 Ex: 58.730000","Age: 16 ex_fr_female$Type: Observed Year: 1956 Ex: 58.610000","Age: 16 ex_fr_female$Type: Observed Year: 1957 Ex: 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Observed Year: 1989 Ex: 65.450000","Age: 16 ex_fr_female$Type: Observed Year: 1990 Ex: 65.710000","Age: 16 ex_fr_female$Type: Observed Year: 1991 Ex: 65.920000","Age: 16 ex_fr_female$Type: Observed Year: 1992 Ex: 66.140000","Age: 16 ex_fr_female$Type: Observed Year: 1993 Ex: 66.110000","Age: 16 ex_fr_female$Type: Observed Year: 1994 Ex: 66.510000","Age: 16 ex_fr_female$Type: Observed Year: 1995 Ex: 66.470000","Age: 16 ex_fr_female$Type: Observed Year: 1996 Ex: 66.580000","Age: 16 ex_fr_female$Type: Observed Year: 1997 Ex: 66.840000","Age: 16 ex_fr_female$Type: Observed Year: 1998 Ex: 66.930000","Age: 16 ex_fr_female$Type: Observed Year: 1999 Ex: 67.010000","Age: 16 ex_fr_female$Type: Observed Year: 2000 Ex: 67.300000","Age: 16 ex_fr_female$Type: Observed Year: 2001 Ex: 67.440000","Age: 16 ex_fr_female$Type: Observed Year: 2002 Ex: 67.500000","Age: 16 ex_fr_female$Type: Observed Year: 2003 Ex: 67.400000","Age: 16 ex_fr_female$Type: Observed Year: 2004 Ex: 68.300000","Age: 16 ex_fr_female$Type: Observed Year: 2005 Ex: 68.220000","Age: 16 ex_fr_female$Type: Observed Year: 2006 Ex: 68.580000","Age: 16 ex_fr_female$Type: Observed Year: 2007 Ex: 68.760000","Age: 16 ex_fr_female$Type: Observed Year: 2008 Ex: 68.740000","Age: 16 ex_fr_female$Type: Observed Year: 2009 Ex: 68.830000","Age: 16 ex_fr_female$Type: Observed Year: 2010 Ex: 69.050000","Age: 16 ex_fr_female$Type: Observed Year: 2011 Ex: 69.360000","Age: 16 ex_fr_female$Type: Observed Year: 2012 Ex: 69.220000","Age: 16 ex_fr_female$Type: Observed Year: 2013 Ex: 69.440000","Age: 16 ex_fr_female$Type: Observed Year: 2014 Ex: 69.810000","Age: 16 ex_fr_female$Type: Observed Year: 2015 Ex: 69.530000","Age: 16 ex_fr_female$Type: Observed Year: 2016 Ex: 69.710000","Age: 16 ex_fr_female$Type: Observed Year: 2017 Ex: 69.680000"],"frame":"16","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[43.4829536666503,43.2250078833291,42.8040169996864,42.7878940566819,43.1952250021677,44.1531727962217,43.9076186460525,44.7176644279582,44.6530457505441,43.8129483013568,42.9790154636902,43.4272425346975,43.1030695255557,43.2677678610912,43.2708448086073,43.7179783829592,39.7542783589131,42.9941233782044,41.7492019018373,43.1031890586283,44.4356188364695,42.049065523961,43.3652476947706,43.9840916546662,43.0705350151478,44.0557754347278,43.3362096010794,43.8831047782146,44.3491480760742,44.8930652084133,43.7357742323355,42.5916131320912,43.018695695745,40.1035799012415,44.5884302525322,44.4087025301073,44.0503872698427,43.7775891912608,39.7596734104996,41.8986472649813,43.6815111867962,43.2963319073489,42.8532577443601,42.4725860482879,44.8457689357235,44.4387854643051,44.965479587071,44.7429800941622,44.2756629722459,43.4707352344624,43.5099202536548,44.6901871736237,44.0492276688876,44.152948859251,41.2489989592513,37.0284280305437,45.0163863832487,44.4069411735873,45.4168899278133,44.4286623260166,44.8871268975725,45.4470536585703,45.0628929535807,44.8885509148046,44.9631994576836,45.3438120008376,45.1714618314047,45.1562697320582,45.2006086868215,45.4105785264589,45.1675195626767,45.3704783826611,45.8711136614771,46.5015111632839,45.3571646140581,45.1553071213615,45.4779157276355,45.4874497671288,46.3452327297066,45.9210325139833,47.0196125417705,47.7447699515608,46.916387542927,46.6309746340808,45.7676225568748,46.9016045195595,47.279883779381,47.4918252391054,47.463091326221,47.1422835243531,47.1655401837964,46.7180325585353,47.7093733904206,47.5179664129035,48.5774947558058,47.9053216313676,48.8171779378001,48.8935829757393,48.1963769791448,48.1625689853353,48.7748254178598,48.7200903453673,41.5855328074318,47.0781366243282,49.310930519152,49.5986332591956,49.2996551556386,50.1832506498069,49.8381468372489,49.6835817759977,49.6736967708667,50.3531353373565,50.6469854725644,49.6839504465684,51.3503470610952,50.8785442154603,51.4337258598076,51.5549841753687,52.3483494247895,51.8476315077667,52.44104088301,52.7377889268025,52.5673252498845,52.8387424364581,50.9774899815044,52.3497078794099,52.4075828399743,49.3932536267071,45.0159323021233,52.1217700983718,56.0422867706616,56.7528635326866,57.5863480364459,56.7033758783401,57.6383505639131,57.237857929824,58.2890093535559,57.8524672802683,58.8228745260718,58.9788118748337,58.8589973617637,59.3225917764015,60.1431187319849,60.1627066820592,60.1660789912228,60.8434726256437,60.3262083880486,60.2429357133213,61.1001307083715,60.8666218010259,61.289994944363,61.2564740339709,61.2867371922561,61.0627929531777,61.7148510131782,61.7350097466526,61.9477567426726,62.0272012489107,62.3657919937746,62.4125800127224,62.6748704392726,63.2548499419768,63.3005075335907,63.5805985486429,63.7053341018983,63.7601439148663,64.1180197385592,64.0142910262131,64.5007653957881,64.563029257217,64.8074483793488,65.3434844278337,65.5398624085563,65.7001353000534,65.9591130029816,66.1735493996378,66.3924359129092,66.3620443282913,66.7601305784979,66.7215632271971,66.8301663227633,67.0877829102457,67.1841354901251,67.2621139833884,67.5468663174242,67.6940902051819,67.7570721672852,67.6501385539381,68.5452784954551,68.4725703691346,68.835204980446,69.0159348611905,68.9875302614113,69.0809700009031,69.2992944935085,69.6150834778196,69.4726983170141,69.6892932921381,70.0615537411588,69.7816390586999,69.9601318098954,69.9280053528835],"text":["Age: 16 ex_fr_female$Type: Predicted Year: 1816 Ex: 43.482954","Age: 16 ex_fr_female$Type: Predicted Year: 1817 Ex: 43.225008","Age: 16 ex_fr_female$Type: Predicted Year: 1818 Ex: 42.804017","Age: 16 ex_fr_female$Type: Predicted Year: 1819 Ex: 42.787894","Age: 16 ex_fr_female$Type: Predicted Year: 1820 Ex: 43.195225","Age: 16 ex_fr_female$Type: Predicted Year: 1821 Ex: 44.153173","Age: 16 ex_fr_female$Type: Predicted Year: 1822 Ex: 43.907619","Age: 16 ex_fr_female$Type: Predicted Year: 1823 Ex: 44.717664","Age: 16 ex_fr_female$Type: Predicted Year: 1824 Ex: 44.653046","Age: 16 ex_fr_female$Type: Predicted Year: 1825 Ex: 43.812948","Age: 16 ex_fr_female$Type: Predicted Year: 1826 Ex: 42.979015","Age: 16 ex_fr_female$Type: Predicted Year: 1827 Ex: 43.427243","Age: 16 ex_fr_female$Type: Predicted Year: 1828 Ex: 43.103070","Age: 16 ex_fr_female$Type: Predicted Year: 1829 Ex: 43.267768","Age: 16 ex_fr_female$Type: Predicted Year: 1830 Ex: 43.270845","Age: 16 ex_fr_female$Type: Predicted Year: 1831 Ex: 43.717978","Age: 16 ex_fr_female$Type: Predicted Year: 1832 Ex: 39.754278","Age: 16 ex_fr_female$Type: Predicted Year: 1833 Ex: 42.994123","Age: 16 ex_fr_female$Type: Predicted Year: 1834 Ex: 41.749202","Age: 16 ex_fr_female$Type: Predicted Year: 1835 Ex: 43.103189","Age: 16 ex_fr_female$Type: Predicted Year: 1836 Ex: 44.435619","Age: 16 ex_fr_female$Type: Predicted Year: 1837 Ex: 42.049066","Age: 16 ex_fr_female$Type: Predicted Year: 1838 Ex: 43.365248","Age: 16 ex_fr_female$Type: Predicted Year: 1839 Ex: 43.984092","Age: 16 ex_fr_female$Type: Predicted Year: 1840 Ex: 43.070535","Age: 16 ex_fr_female$Type: Predicted Year: 1841 Ex: 44.055775","Age: 16 ex_fr_female$Type: Predicted Year: 1842 Ex: 43.336210","Age: 16 ex_fr_female$Type: Predicted Year: 1843 Ex: 43.883105","Age: 16 ex_fr_female$Type: Predicted Year: 1844 Ex: 44.349148","Age: 16 ex_fr_female$Type: Predicted Year: 1845 Ex: 44.893065","Age: 16 ex_fr_female$Type: Predicted Year: 1846 Ex: 43.735774","Age: 16 ex_fr_female$Type: Predicted Year: 1847 Ex: 42.591613","Age: 16 ex_fr_female$Type: Predicted Year: 1848 Ex: 43.018696","Age: 16 ex_fr_female$Type: Predicted Year: 1849 Ex: 40.103580","Age: 16 ex_fr_female$Type: Predicted Year: 1850 Ex: 44.588430","Age: 16 ex_fr_female$Type: Predicted Year: 1851 Ex: 44.408703","Age: 16 ex_fr_female$Type: Predicted Year: 1852 Ex: 44.050387","Age: 16 ex_fr_female$Type: Predicted Year: 1853 Ex: 43.777589","Age: 16 ex_fr_female$Type: Predicted Year: 1854 Ex: 39.759673","Age: 16 ex_fr_female$Type: Predicted Year: 1855 Ex: 41.898647","Age: 16 ex_fr_female$Type: Predicted Year: 1856 Ex: 43.681511","Age: 16 ex_fr_female$Type: Predicted Year: 1857 Ex: 43.296332","Age: 16 ex_fr_female$Type: Predicted Year: 1858 Ex: 42.853258","Age: 16 ex_fr_female$Type: Predicted Year: 1859 Ex: 42.472586","Age: 16 ex_fr_female$Type: Predicted Year: 1860 Ex: 44.845769","Age: 16 ex_fr_female$Type: Predicted Year: 1861 Ex: 44.438785","Age: 16 ex_fr_female$Type: Predicted Year: 1862 Ex: 44.965480","Age: 16 ex_fr_female$Type: Predicted Year: 1863 Ex: 44.742980","Age: 16 ex_fr_female$Type: Predicted Year: 1864 Ex: 44.275663","Age: 16 ex_fr_female$Type: Predicted Year: 1865 Ex: 43.470735","Age: 16 ex_fr_female$Type: Predicted Year: 1866 Ex: 43.509920","Age: 16 ex_fr_female$Type: Predicted Year: 1867 Ex: 44.690187","Age: 16 ex_fr_female$Type: Predicted Year: 1868 Ex: 44.049228","Age: 16 ex_fr_female$Type: Predicted Year: 1869 Ex: 44.152949","Age: 16 ex_fr_female$Type: Predicted Year: 1870 Ex: 41.248999","Age: 16 ex_fr_female$Type: Predicted Year: 1871 Ex: 37.028428","Age: 16 ex_fr_female$Type: Predicted Year: 1872 Ex: 45.016386","Age: 16 ex_fr_female$Type: Predicted Year: 1873 Ex: 44.406941","Age: 16 ex_fr_female$Type: Predicted Year: 1874 Ex: 45.416890","Age: 16 ex_fr_female$Type: Predicted Year: 1875 Ex: 44.428662","Age: 16 ex_fr_female$Type: Predicted Year: 1876 Ex: 44.887127","Age: 16 ex_fr_female$Type: Predicted Year: 1877 Ex: 45.447054","Age: 16 ex_fr_female$Type: Predicted Year: 1878 Ex: 45.062893","Age: 16 ex_fr_female$Type: Predicted Year: 1879 Ex: 44.888551","Age: 16 ex_fr_female$Type: Predicted Year: 1880 Ex: 44.963199","Age: 16 ex_fr_female$Type: Predicted Year: 1881 Ex: 45.343812","Age: 16 ex_fr_female$Type: Predicted Year: 1882 Ex: 45.171462","Age: 16 ex_fr_female$Type: Predicted Year: 1883 Ex: 45.156270","Age: 16 ex_fr_female$Type: Predicted Year: 1884 Ex: 45.200609","Age: 16 ex_fr_female$Type: Predicted Year: 1885 Ex: 45.410579","Age: 16 ex_fr_female$Type: Predicted Year: 1886 Ex: 45.167520","Age: 16 ex_fr_female$Type: Predicted Year: 1887 Ex: 45.370478","Age: 16 ex_fr_female$Type: Predicted Year: 1888 Ex: 45.871114","Age: 16 ex_fr_female$Type: Predicted Year: 1889 Ex: 46.501511","Age: 16 ex_fr_female$Type: Predicted Year: 1890 Ex: 45.357165","Age: 16 ex_fr_female$Type: Predicted Year: 1891 Ex: 45.155307","Age: 16 ex_fr_female$Type: Predicted Year: 1892 Ex: 45.477916","Age: 16 ex_fr_female$Type: Predicted Year: 1893 Ex: 45.487450","Age: 16 ex_fr_female$Type: Predicted Year: 1894 Ex: 46.345233","Age: 16 ex_fr_female$Type: Predicted Year: 1895 Ex: 45.921033","Age: 16 ex_fr_female$Type: Predicted Year: 1896 Ex: 47.019613","Age: 16 ex_fr_female$Type: Predicted Year: 1897 Ex: 47.744770","Age: 16 ex_fr_female$Type: Predicted Year: 1898 Ex: 46.916388","Age: 16 ex_fr_female$Type: Predicted Year: 1899 Ex: 46.630975","Age: 16 ex_fr_female$Type: Predicted Year: 1900 Ex: 45.767623","Age: 16 ex_fr_female$Type: Predicted Year: 1901 Ex: 46.901605","Age: 16 ex_fr_female$Type: Predicted Year: 1902 Ex: 47.279884","Age: 16 ex_fr_female$Type: Predicted Year: 1903 Ex: 47.491825","Age: 16 ex_fr_female$Type: Predicted Year: 1904 Ex: 47.463091","Age: 16 ex_fr_female$Type: Predicted Year: 1905 Ex: 47.142284","Age: 16 ex_fr_female$Type: Predicted Year: 1906 Ex: 47.165540","Age: 16 ex_fr_female$Type: Predicted Year: 1907 Ex: 46.718033","Age: 16 ex_fr_female$Type: Predicted Year: 1908 Ex: 47.709373","Age: 16 ex_fr_female$Type: Predicted Year: 1909 Ex: 47.517966","Age: 16 ex_fr_female$Type: Predicted Year: 1910 Ex: 48.577495","Age: 16 ex_fr_female$Type: Predicted Year: 1911 Ex: 47.905322","Age: 16 ex_fr_female$Type: Predicted Year: 1912 Ex: 48.817178","Age: 16 ex_fr_female$Type: Predicted Year: 1913 Ex: 48.893583","Age: 16 ex_fr_female$Type: Predicted Year: 1914 Ex: 48.196377","Age: 16 ex_fr_female$Type: Predicted Year: 1915 Ex: 48.162569","Age: 16 ex_fr_female$Type: Predicted Year: 1916 Ex: 48.774825","Age: 16 ex_fr_female$Type: Predicted Year: 1917 Ex: 48.720090","Age: 16 ex_fr_female$Type: Predicted Year: 1918 Ex: 41.585533","Age: 16 ex_fr_female$Type: Predicted Year: 1919 Ex: 47.078137","Age: 16 ex_fr_female$Type: Predicted Year: 1920 Ex: 49.310931","Age: 16 ex_fr_female$Type: Predicted Year: 1921 Ex: 49.598633","Age: 16 ex_fr_female$Type: Predicted Year: 1922 Ex: 49.299655","Age: 16 ex_fr_female$Type: Predicted Year: 1923 Ex: 50.183251","Age: 16 ex_fr_female$Type: Predicted Year: 1924 Ex: 49.838147","Age: 16 ex_fr_female$Type: Predicted Year: 1925 Ex: 49.683582","Age: 16 ex_fr_female$Type: Predicted Year: 1926 Ex: 49.673697","Age: 16 ex_fr_female$Type: Predicted Year: 1927 Ex: 50.353135","Age: 16 ex_fr_female$Type: Predicted Year: 1928 Ex: 50.646985","Age: 16 ex_fr_female$Type: Predicted Year: 1929 Ex: 49.683950","Age: 16 ex_fr_female$Type: Predicted Year: 1930 Ex: 51.350347","Age: 16 ex_fr_female$Type: Predicted Year: 1931 Ex: 50.878544","Age: 16 ex_fr_female$Type: Predicted Year: 1932 Ex: 51.433726","Age: 16 ex_fr_female$Type: Predicted Year: 1933 Ex: 51.554984","Age: 16 ex_fr_female$Type: Predicted Year: 1934 Ex: 52.348349","Age: 16 ex_fr_female$Type: Predicted Year: 1935 Ex: 51.847632","Age: 16 ex_fr_female$Type: Predicted Year: 1936 Ex: 52.441041","Age: 16 ex_fr_female$Type: Predicted Year: 1937 Ex: 52.737789","Age: 16 ex_fr_female$Type: Predicted Year: 1938 Ex: 52.567325","Age: 16 ex_fr_female$Type: Predicted Year: 1939 Ex: 52.838742","Age: 16 ex_fr_female$Type: Predicted Year: 1940 Ex: 50.977490","Age: 16 ex_fr_female$Type: Predicted Year: 1941 Ex: 52.349708","Age: 16 ex_fr_female$Type: Predicted Year: 1942 Ex: 52.407583","Age: 16 ex_fr_female$Type: Predicted Year: 1943 Ex: 49.393254","Age: 16 ex_fr_female$Type: Predicted Year: 1944 Ex: 45.015932","Age: 16 ex_fr_female$Type: Predicted Year: 1945 Ex: 52.121770","Age: 16 ex_fr_female$Type: Predicted Year: 1946 Ex: 56.042287","Age: 16 ex_fr_female$Type: Predicted Year: 1947 Ex: 56.752864","Age: 16 ex_fr_female$Type: Predicted Year: 1948 Ex: 57.586348","Age: 16 ex_fr_female$Type: Predicted Year: 1949 Ex: 56.703376","Age: 16 ex_fr_female$Type: Predicted Year: 1950 Ex: 57.638351","Age: 16 ex_fr_female$Type: Predicted Year: 1951 Ex: 57.237858","Age: 16 ex_fr_female$Type: Predicted Year: 1952 Ex: 58.289009","Age: 16 ex_fr_female$Type: Predicted Year: 1953 Ex: 57.852467","Age: 16 ex_fr_female$Type: Predicted Year: 1954 Ex: 58.822875","Age: 16 ex_fr_female$Type: Predicted Year: 1955 Ex: 58.978812","Age: 16 ex_fr_female$Type: Predicted Year: 1956 Ex: 58.858997","Age: 16 ex_fr_female$Type: Predicted Year: 1957 Ex: 59.322592","Age: 16 ex_fr_female$Type: Predicted Year: 1958 Ex: 60.143119","Age: 16 ex_fr_female$Type: Predicted Year: 1959 Ex: 60.162707","Age: 16 ex_fr_female$Type: Predicted Year: 1960 Ex: 60.166079","Age: 16 ex_fr_female$Type: Predicted Year: 1961 Ex: 60.843473","Age: 16 ex_fr_female$Type: Predicted Year: 1962 Ex: 60.326208","Age: 16 ex_fr_female$Type: Predicted Year: 1963 Ex: 60.242936","Age: 16 ex_fr_female$Type: Predicted Year: 1964 Ex: 61.100131","Age: 16 ex_fr_female$Type: Predicted Year: 1965 Ex: 60.866622","Age: 16 ex_fr_female$Type: Predicted Year: 1966 Ex: 61.289995","Age: 16 ex_fr_female$Type: Predicted Year: 1967 Ex: 61.256474","Age: 16 ex_fr_female$Type: Predicted Year: 1968 Ex: 61.286737","Age: 16 ex_fr_female$Type: Predicted Year: 1969 Ex: 61.062793","Age: 16 ex_fr_female$Type: Predicted Year: 1970 Ex: 61.714851","Age: 16 ex_fr_female$Type: Predicted Year: 1971 Ex: 61.735010","Age: 16 ex_fr_female$Type: Predicted Year: 1972 Ex: 61.947757","Age: 16 ex_fr_female$Type: Predicted Year: 1973 Ex: 62.027201","Age: 16 ex_fr_female$Type: Predicted Year: 1974 Ex: 62.365792","Age: 16 ex_fr_female$Type: Predicted Year: 1975 Ex: 62.412580","Age: 16 ex_fr_female$Type: Predicted Year: 1976 Ex: 62.674870","Age: 16 ex_fr_female$Type: Predicted Year: 1977 Ex: 63.254850","Age: 16 ex_fr_female$Type: Predicted Year: 1978 Ex: 63.300508","Age: 16 ex_fr_female$Type: Predicted Year: 1979 Ex: 63.580599","Age: 16 ex_fr_female$Type: Predicted Year: 1980 Ex: 63.705334","Age: 16 ex_fr_female$Type: Predicted Year: 1981 Ex: 63.760144","Age: 16 ex_fr_female$Type: Predicted Year: 1982 Ex: 64.118020","Age: 16 ex_fr_female$Type: Predicted Year: 1983 Ex: 64.014291","Age: 16 ex_fr_female$Type: Predicted Year: 1984 Ex: 64.500765","Age: 16 ex_fr_female$Type: Predicted Year: 1985 Ex: 64.563029","Age: 16 ex_fr_female$Type: Predicted Year: 1986 Ex: 64.807448","Age: 16 ex_fr_female$Type: Predicted Year: 1987 Ex: 65.343484","Age: 16 ex_fr_female$Type: Predicted Year: 1988 Ex: 65.539862","Age: 16 ex_fr_female$Type: Predicted Year: 1989 Ex: 65.700135","Age: 16 ex_fr_female$Type: Predicted Year: 1990 Ex: 65.959113","Age: 16 ex_fr_female$Type: Predicted Year: 1991 Ex: 66.173549","Age: 16 ex_fr_female$Type: Predicted Year: 1992 Ex: 66.392436","Age: 16 ex_fr_female$Type: Predicted Year: 1993 Ex: 66.362044","Age: 16 ex_fr_female$Type: Predicted Year: 1994 Ex: 66.760131","Age: 16 ex_fr_female$Type: Predicted Year: 1995 Ex: 66.721563","Age: 16 ex_fr_female$Type: Predicted Year: 1996 Ex: 66.830166","Age: 16 ex_fr_female$Type: Predicted Year: 1997 Ex: 67.087783","Age: 16 ex_fr_female$Type: Predicted Year: 1998 Ex: 67.184135","Age: 16 ex_fr_female$Type: Predicted Year: 1999 Ex: 67.262114","Age: 16 ex_fr_female$Type: Predicted Year: 2000 Ex: 67.546866","Age: 16 ex_fr_female$Type: Predicted Year: 2001 Ex: 67.694090","Age: 16 ex_fr_female$Type: Predicted Year: 2002 Ex: 67.757072","Age: 16 ex_fr_female$Type: Predicted Year: 2003 Ex: 67.650139","Age: 16 ex_fr_female$Type: Predicted Year: 2004 Ex: 68.545278","Age: 16 ex_fr_female$Type: Predicted Year: 2005 Ex: 68.472570","Age: 16 ex_fr_female$Type: Predicted Year: 2006 Ex: 68.835205","Age: 16 ex_fr_female$Type: Predicted Year: 2007 Ex: 69.015935","Age: 16 ex_fr_female$Type: Predicted Year: 2008 Ex: 68.987530","Age: 16 ex_fr_female$Type: Predicted Year: 2009 Ex: 69.080970","Age: 16 ex_fr_female$Type: Predicted Year: 2010 Ex: 69.299294","Age: 16 ex_fr_female$Type: Predicted Year: 2011 Ex: 69.615083","Age: 16 ex_fr_female$Type: Predicted Year: 2012 Ex: 69.472698","Age: 16 ex_fr_female$Type: Predicted Year: 2013 Ex: 69.689293","Age: 16 ex_fr_female$Type: Predicted Year: 2014 Ex: 70.061554","Age: 16 ex_fr_female$Type: Predicted Year: 2015 Ex: 69.781639","Age: 16 ex_fr_female$Type: Predicted Year: 2016 Ex: 69.960132","Age: 16 ex_fr_female$Type: Predicted Year: 2017 Ex: 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ex_fr_female$Type: Observed Year: 1942 Ex: 51.290000","Age: 17 ex_fr_female$Type: Observed Year: 1943 Ex: 48.290000","Age: 17 ex_fr_female$Type: Observed Year: 1944 Ex: 43.960000","Age: 17 ex_fr_female$Type: Observed Year: 1945 Ex: 51.010000","Age: 17 ex_fr_female$Type: Observed Year: 1946 Ex: 54.880000","Age: 17 ex_fr_female$Type: Observed Year: 1947 Ex: 55.580000","Age: 17 ex_fr_female$Type: Observed Year: 1948 Ex: 56.400000","Age: 17 ex_fr_female$Type: Observed Year: 1949 Ex: 55.500000","Age: 17 ex_fr_female$Type: Observed Year: 1950 Ex: 56.430000","Age: 17 ex_fr_female$Type: Observed Year: 1951 Ex: 56.030000","Age: 17 ex_fr_female$Type: Observed Year: 1952 Ex: 57.070000","Age: 17 ex_fr_female$Type: Observed Year: 1953 Ex: 56.630000","Age: 17 ex_fr_female$Type: Observed Year: 1954 Ex: 57.600000","Age: 17 ex_fr_female$Type: Observed Year: 1955 Ex: 57.750000","Age: 17 ex_fr_female$Type: Observed Year: 1956 Ex: 57.630000","Age: 17 ex_fr_female$Type: Observed Year: 1957 Ex: 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Observed Year: 1989 Ex: 64.460000","Age: 17 ex_fr_female$Type: Observed Year: 1990 Ex: 64.730000","Age: 17 ex_fr_female$Type: Observed Year: 1991 Ex: 64.940000","Age: 17 ex_fr_female$Type: Observed Year: 1992 Ex: 65.160000","Age: 17 ex_fr_female$Type: Observed Year: 1993 Ex: 65.130000","Age: 17 ex_fr_female$Type: Observed Year: 1994 Ex: 65.530000","Age: 17 ex_fr_female$Type: Observed Year: 1995 Ex: 65.490000","Age: 17 ex_fr_female$Type: Observed Year: 1996 Ex: 65.600000","Age: 17 ex_fr_female$Type: Observed Year: 1997 Ex: 65.850000","Age: 17 ex_fr_female$Type: Observed Year: 1998 Ex: 65.950000","Age: 17 ex_fr_female$Type: Observed Year: 1999 Ex: 66.020000","Age: 17 ex_fr_female$Type: Observed Year: 2000 Ex: 66.310000","Age: 17 ex_fr_female$Type: Observed Year: 2001 Ex: 66.460000","Age: 17 ex_fr_female$Type: Observed Year: 2002 Ex: 66.520000","Age: 17 ex_fr_female$Type: Observed Year: 2003 Ex: 66.410000","Age: 17 ex_fr_female$Type: Observed Year: 2004 Ex: 67.310000","Age: 17 ex_fr_female$Type: Observed Year: 2005 Ex: 67.240000","Age: 17 ex_fr_female$Type: Observed Year: 2006 Ex: 67.590000","Age: 17 ex_fr_female$Type: Observed Year: 2007 Ex: 67.780000","Age: 17 ex_fr_female$Type: Observed Year: 2008 Ex: 67.740000","Age: 17 ex_fr_female$Type: Observed Year: 2009 Ex: 67.840000","Age: 17 ex_fr_female$Type: Observed Year: 2010 Ex: 68.060000","Age: 17 ex_fr_female$Type: Observed Year: 2011 Ex: 68.380000","Age: 17 ex_fr_female$Type: Observed Year: 2012 Ex: 68.230000","Age: 17 ex_fr_female$Type: Observed Year: 2013 Ex: 68.450000","Age: 17 ex_fr_female$Type: Observed Year: 2014 Ex: 68.820000","Age: 17 ex_fr_female$Type: Observed Year: 2015 Ex: 68.540000","Age: 17 ex_fr_female$Type: Observed Year: 2016 Ex: 68.720000","Age: 17 ex_fr_female$Type: Observed Year: 2017 Ex: 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17 ex_fr_female$Type: Predicted Year: 1816 Ex: 42.754169","Age: 17 ex_fr_female$Type: Predicted Year: 1817 Ex: 42.513088","Age: 17 ex_fr_female$Type: Predicted Year: 1818 Ex: 42.110559","Age: 17 ex_fr_female$Type: Predicted Year: 1819 Ex: 42.086227","Age: 17 ex_fr_female$Type: Predicted Year: 1820 Ex: 42.460759","Age: 17 ex_fr_female$Type: Predicted Year: 1821 Ex: 43.432132","Age: 17 ex_fr_female$Type: Predicted Year: 1822 Ex: 43.211665","Age: 17 ex_fr_female$Type: Predicted Year: 1823 Ex: 43.993556","Age: 17 ex_fr_female$Type: Predicted Year: 1824 Ex: 43.924536","Age: 17 ex_fr_female$Type: Predicted Year: 1825 Ex: 43.122002","Age: 17 ex_fr_female$Type: Predicted Year: 1826 Ex: 42.310365","Age: 17 ex_fr_female$Type: Predicted Year: 1827 Ex: 42.731382","Age: 17 ex_fr_female$Type: Predicted Year: 1828 Ex: 42.417786","Age: 17 ex_fr_female$Type: Predicted Year: 1829 Ex: 42.553983","Age: 17 ex_fr_female$Type: Predicted Year: 1830 Ex: 42.563971","Age: 17 ex_fr_female$Type: Predicted Year: 1831 Ex: 43.022437","Age: 17 ex_fr_female$Type: Predicted Year: 1832 Ex: 39.050189","Age: 17 ex_fr_female$Type: Predicted Year: 1833 Ex: 42.291771","Age: 17 ex_fr_female$Type: Predicted Year: 1834 Ex: 41.093413","Age: 17 ex_fr_female$Type: Predicted Year: 1835 Ex: 42.397311","Age: 17 ex_fr_female$Type: Predicted Year: 1836 Ex: 43.699584","Age: 17 ex_fr_female$Type: Predicted Year: 1837 Ex: 41.338420","Age: 17 ex_fr_female$Type: Predicted Year: 1838 Ex: 42.659021","Age: 17 ex_fr_female$Type: Predicted Year: 1839 Ex: 43.289111","Age: 17 ex_fr_female$Type: Predicted Year: 1840 Ex: 42.393589","Age: 17 ex_fr_female$Type: Predicted Year: 1841 Ex: 43.370949","Age: 17 ex_fr_female$Type: Predicted Year: 1842 Ex: 42.645745","Age: 17 ex_fr_female$Type: Predicted Year: 1843 Ex: 43.199214","Age: 17 ex_fr_female$Type: Predicted Year: 1844 Ex: 43.637745","Age: 17 ex_fr_female$Type: Predicted Year: 1845 Ex: 44.181221","Age: 17 ex_fr_female$Type: Predicted Year: 1846 Ex: 43.068669","Age: 17 ex_fr_female$Type: Predicted Year: 1847 Ex: 41.900008","Age: 17 ex_fr_female$Type: Predicted Year: 1848 Ex: 42.309665","Age: 17 ex_fr_female$Type: Predicted Year: 1849 Ex: 39.417689","Age: 17 ex_fr_female$Type: Predicted Year: 1850 Ex: 43.862629","Age: 17 ex_fr_female$Type: Predicted Year: 1851 Ex: 43.686643","Age: 17 ex_fr_female$Type: Predicted Year: 1852 Ex: 43.350171","Age: 17 ex_fr_female$Type: Predicted Year: 1853 Ex: 43.108190","Age: 17 ex_fr_female$Type: Predicted Year: 1854 Ex: 39.102329","Age: 17 ex_fr_female$Type: Predicted Year: 1855 Ex: 41.254960","Age: 17 ex_fr_female$Type: Predicted Year: 1856 Ex: 43.033574","Age: 17 ex_fr_female$Type: Predicted Year: 1857 Ex: 42.641372","Age: 17 ex_fr_female$Type: Predicted Year: 1858 Ex: 42.169543","Age: 17 ex_fr_female$Type: Predicted Year: 1859 Ex: 41.820717","Age: 17 ex_fr_female$Type: Predicted Year: 1860 Ex: 44.143438","Age: 17 ex_fr_female$Type: Predicted Year: 1861 Ex: 43.747880","Age: 17 ex_fr_female$Type: Predicted Year: 1862 Ex: 44.266638","Age: 17 ex_fr_female$Type: Predicted Year: 1863 Ex: 44.035505","Age: 17 ex_fr_female$Type: Predicted Year: 1864 Ex: 43.568624","Age: 17 ex_fr_female$Type: Predicted Year: 1865 Ex: 42.788168","Age: 17 ex_fr_female$Type: Predicted Year: 1866 Ex: 42.810315","Age: 17 ex_fr_female$Type: Predicted Year: 1867 Ex: 43.971244","Age: 17 ex_fr_female$Type: Predicted Year: 1868 Ex: 43.348565","Age: 17 ex_fr_female$Type: Predicted Year: 1869 Ex: 43.443331","Age: 17 ex_fr_female$Type: Predicted Year: 1870 Ex: 40.584927","Age: 17 ex_fr_female$Type: Predicted Year: 1871 Ex: 36.458695","Age: 17 ex_fr_female$Type: Predicted Year: 1872 Ex: 44.305342","Age: 17 ex_fr_female$Type: Predicted Year: 1873 Ex: 43.693709","Age: 17 ex_fr_female$Type: Predicted Year: 1874 Ex: 44.679069","Age: 17 ex_fr_female$Type: Predicted Year: 1875 Ex: 43.685073","Age: 17 ex_fr_female$Type: Predicted Year: 1876 Ex: 44.152018","Age: 17 ex_fr_female$Type: Predicted Year: 1877 Ex: 44.708957","Age: 17 ex_fr_female$Type: Predicted Year: 1878 Ex: 44.344526","Age: 17 ex_fr_female$Type: Predicted Year: 1879 Ex: 44.159703","Age: 17 ex_fr_female$Type: Predicted Year: 1880 Ex: 44.237044","Age: 17 ex_fr_female$Type: Predicted Year: 1881 Ex: 44.627672","Age: 17 ex_fr_female$Type: Predicted Year: 1882 Ex: 44.446140","Age: 17 ex_fr_female$Type: Predicted Year: 1883 Ex: 44.417377","Age: 17 ex_fr_female$Type: Predicted Year: 1884 Ex: 44.467821","Age: 17 ex_fr_female$Type: Predicted Year: 1885 Ex: 44.681756","Age: 17 ex_fr_female$Type: Predicted Year: 1886 Ex: 44.439027","Age: 17 ex_fr_female$Type: Predicted Year: 1887 Ex: 44.640511","Age: 17 ex_fr_female$Type: Predicted Year: 1888 Ex: 45.201708","Age: 17 ex_fr_female$Type: Predicted Year: 1889 Ex: 45.772335","Age: 17 ex_fr_female$Type: Predicted Year: 1890 Ex: 44.651493","Age: 17 ex_fr_female$Type: Predicted Year: 1891 Ex: 44.440670","Age: 17 ex_fr_female$Type: Predicted Year: 1892 Ex: 44.757646","Age: 17 ex_fr_female$Type: Predicted Year: 1893 Ex: 44.753661","Age: 17 ex_fr_female$Type: Predicted Year: 1894 Ex: 45.592545","Age: 17 ex_fr_female$Type: Predicted Year: 1895 Ex: 45.181586","Age: 17 ex_fr_female$Type: Predicted Year: 1896 Ex: 46.252794","Age: 17 ex_fr_female$Type: Predicted Year: 1897 Ex: 46.971616","Age: 17 ex_fr_female$Type: Predicted Year: 1898 Ex: 46.149984","Age: 17 ex_fr_female$Type: Predicted Year: 1899 Ex: 45.864062","Age: 17 ex_fr_female$Type: Predicted Year: 1900 Ex: 45.004083","Age: 17 ex_fr_female$Type: Predicted Year: 1901 Ex: 46.135127","Age: 17 ex_fr_female$Type: Predicted Year: 1902 Ex: 46.506848","Age: 17 ex_fr_female$Type: Predicted Year: 1903 Ex: 46.715096","Age: 17 ex_fr_female$Type: Predicted Year: 1904 Ex: 46.697551","Age: 17 ex_fr_female$Type: Predicted Year: 1905 Ex: 46.364362","Age: 17 ex_fr_female$Type: Predicted Year: 1906 Ex: 46.389136","Age: 17 ex_fr_female$Type: Predicted Year: 1907 Ex: 45.939020","Age: 17 ex_fr_female$Type: Predicted Year: 1908 Ex: 46.929883","Age: 17 ex_fr_female$Type: Predicted Year: 1909 Ex: 46.718690","Age: 17 ex_fr_female$Type: Predicted Year: 1910 Ex: 47.775983","Age: 17 ex_fr_female$Type: Predicted Year: 1911 Ex: 47.115317","Age: 17 ex_fr_female$Type: Predicted Year: 1912 Ex: 48.018111","Age: 17 ex_fr_female$Type: Predicted Year: 1913 Ex: 48.103582","Age: 17 ex_fr_female$Type: Predicted Year: 1914 Ex: 47.398560","Age: 17 ex_fr_female$Type: Predicted Year: 1915 Ex: 47.363173","Age: 17 ex_fr_female$Type: Predicted Year: 1916 Ex: 47.988188","Age: 17 ex_fr_female$Type: Predicted Year: 1917 Ex: 47.931274","Age: 17 ex_fr_female$Type: Predicted Year: 1918 Ex: 40.965681","Age: 17 ex_fr_female$Type: Predicted Year: 1919 Ex: 46.341580","Age: 17 ex_fr_female$Type: Predicted Year: 1920 Ex: 48.520780","Age: 17 ex_fr_female$Type: Predicted Year: 1921 Ex: 48.796900","Age: 17 ex_fr_female$Type: Predicted Year: 1922 Ex: 48.489366","Age: 17 ex_fr_female$Type: Predicted Year: 1923 Ex: 49.374900","Age: 17 ex_fr_female$Type: Predicted Year: 1924 Ex: 49.044812","Age: 17 ex_fr_female$Type: Predicted Year: 1925 Ex: 48.884661","Age: 17 ex_fr_female$Type: Predicted Year: 1926 Ex: 48.881155","Age: 17 ex_fr_female$Type: Predicted Year: 1927 Ex: 49.543438","Age: 17 ex_fr_female$Type: Predicted Year: 1928 Ex: 49.862075","Age: 17 ex_fr_female$Type: Predicted Year: 1929 Ex: 48.866268","Age: 17 ex_fr_female$Type: Predicted Year: 1930 Ex: 50.522512","Age: 17 ex_fr_female$Type: Predicted Year: 1931 Ex: 50.041530","Age: 17 ex_fr_female$Type: Predicted Year: 1932 Ex: 50.606173","Age: 17 ex_fr_female$Type: Predicted Year: 1933 Ex: 50.720159","Age: 17 ex_fr_female$Type: Predicted Year: 1934 Ex: 51.482291","Age: 17 ex_fr_female$Type: Predicted Year: 1935 Ex: 50.981824","Age: 17 ex_fr_female$Type: Predicted Year: 1936 Ex: 51.569494","Age: 17 ex_fr_female$Type: Predicted Year: 1937 Ex: 51.866976","Age: 17 ex_fr_female$Type: Predicted Year: 1938 Ex: 51.682000","Age: 17 ex_fr_female$Type: Predicted Year: 1939 Ex: 51.948245","Age: 17 ex_fr_female$Type: Predicted Year: 1940 Ex: 50.098782","Age: 17 ex_fr_female$Type: Predicted Year: 1941 Ex: 51.470139","Age: 17 ex_fr_female$Type: Predicted Year: 1942 Ex: 51.528148","Age: 17 ex_fr_female$Type: Predicted Year: 1943 Ex: 48.533289","Age: 17 ex_fr_female$Type: Predicted Year: 1944 Ex: 44.209105","Age: 17 ex_fr_female$Type: Predicted Year: 1945 Ex: 51.248399","Age: 17 ex_fr_female$Type: Predicted Year: 1946 Ex: 55.122882","Age: 17 ex_fr_female$Type: Predicted Year: 1947 Ex: 55.826040","Age: 17 ex_fr_female$Type: Predicted Year: 1948 Ex: 56.646320","Age: 17 ex_fr_female$Type: Predicted Year: 1949 Ex: 55.748919","Age: 17 ex_fr_female$Type: Predicted Year: 1950 Ex: 56.682364","Age: 17 ex_fr_female$Type: Predicted Year: 1951 Ex: 56.275317","Age: 17 ex_fr_female$Type: Predicted Year: 1952 Ex: 57.325428","Age: 17 ex_fr_female$Type: Predicted Year: 1953 Ex: 56.882872","Age: 17 ex_fr_female$Type: Predicted Year: 1954 Ex: 57.850876","Age: 17 ex_fr_female$Type: Predicted Year: 1955 Ex: 58.006888","Age: 17 ex_fr_female$Type: Predicted Year: 1956 Ex: 57.884681","Age: 17 ex_fr_female$Type: Predicted Year: 1957 Ex: 58.352010","Age: 17 ex_fr_female$Type: Predicted Year: 1958 Ex: 59.168771","Age: 17 ex_fr_female$Type: Predicted Year: 1959 Ex: 59.186577","Age: 17 ex_fr_female$Type: Predicted Year: 1960 Ex: 59.188756","Age: 17 ex_fr_female$Type: Predicted Year: 1961 Ex: 59.868822","Age: 17 ex_fr_female$Type: Predicted Year: 1962 Ex: 59.350144","Age: 17 ex_fr_female$Type: Predicted Year: 1963 Ex: 59.266838","Age: 17 ex_fr_female$Type: Predicted Year: 1964 Ex: 60.123163","Age: 17 ex_fr_female$Type: Predicted Year: 1965 Ex: 59.891377","Age: 17 ex_fr_female$Type: Predicted Year: 1966 Ex: 60.315532","Age: 17 ex_fr_female$Type: Predicted Year: 1967 Ex: 60.284428","Age: 17 ex_fr_female$Type: Predicted Year: 1968 Ex: 60.315922","Age: 17 ex_fr_female$Type: Predicted Year: 1969 Ex: 60.093082","Age: 17 ex_fr_female$Type: Predicted Year: 1970 Ex: 60.741791","Age: 17 ex_fr_female$Type: Predicted Year: 1971 Ex: 60.763797","Age: 17 ex_fr_female$Type: Predicted Year: 1972 Ex: 60.980947","Age: 17 ex_fr_female$Type: Predicted Year: 1973 Ex: 61.056126","Age: 17 ex_fr_female$Type: Predicted Year: 1974 Ex: 61.399209","Age: 17 ex_fr_female$Type: Predicted Year: 1975 Ex: 61.438589","Age: 17 ex_fr_female$Type: Predicted Year: 1976 Ex: 61.709076","Age: 17 ex_fr_female$Type: Predicted Year: 1977 Ex: 62.283096","Age: 17 ex_fr_female$Type: Predicted Year: 1978 Ex: 62.330031","Age: 17 ex_fr_female$Type: Predicted Year: 1979 Ex: 62.610885","Age: 17 ex_fr_female$Type: Predicted Year: 1980 Ex: 62.734415","Age: 17 ex_fr_female$Type: Predicted Year: 1981 Ex: 62.791149","Age: 17 ex_fr_female$Type: Predicted Year: 1982 Ex: 63.144108","Age: 17 ex_fr_female$Type: Predicted Year: 1983 Ex: 63.039702","Age: 17 ex_fr_female$Type: Predicted Year: 1984 Ex: 63.526371","Age: 17 ex_fr_female$Type: Predicted Year: 1985 Ex: 63.585455","Age: 17 ex_fr_female$Type: Predicted Year: 1986 Ex: 63.832533","Age: 17 ex_fr_female$Type: Predicted Year: 1987 Ex: 64.361643","Age: 17 ex_fr_female$Type: Predicted Year: 1988 Ex: 64.560028","Age: 17 ex_fr_female$Type: Predicted Year: 1989 Ex: 64.715785","Age: 17 ex_fr_female$Type: Predicted Year: 1990 Ex: 64.976789","Age: 17 ex_fr_female$Type: Predicted Year: 1991 Ex: 65.192597","Age: 17 ex_fr_female$Type: Predicted Year: 1992 Ex: 65.410888","Age: 17 ex_fr_female$Type: Predicted Year: 1993 Ex: 65.384441","Age: 17 ex_fr_female$Type: Predicted Year: 1994 Ex: 65.776035","Age: 17 ex_fr_female$Type: Predicted Year: 1995 Ex: 65.738783","Age: 17 ex_fr_female$Type: Predicted Year: 1996 Ex: 65.845424","Age: 17 ex_fr_female$Type: Predicted Year: 1997 Ex: 66.103766","Age: 17 ex_fr_female$Type: Predicted Year: 1998 Ex: 66.200142","Age: 17 ex_fr_female$Type: Predicted Year: 1999 Ex: 66.275468","Age: 17 ex_fr_female$Type: Predicted Year: 2000 Ex: 66.563630","Age: 17 ex_fr_female$Type: Predicted Year: 2001 Ex: 66.710219","Age: 17 ex_fr_female$Type: Predicted Year: 2002 Ex: 66.771870","Age: 17 ex_fr_female$Type: Predicted Year: 2003 Ex: 66.662898","Age: 17 ex_fr_female$Type: Predicted Year: 2004 Ex: 67.556847","Age: 17 ex_fr_female$Type: Predicted Year: 2005 Ex: 67.486166","Age: 17 ex_fr_female$Type: Predicted Year: 2006 Ex: 67.847506","Age: 17 ex_fr_female$Type: Predicted Year: 2007 Ex: 68.028269","Age: 17 ex_fr_female$Type: Predicted Year: 2008 Ex: 67.996434","Age: 17 ex_fr_female$Type: Predicted Year: 2009 Ex: 68.094002","Age: 17 ex_fr_female$Type: Predicted Year: 2010 Ex: 68.308927","Age: 17 ex_fr_female$Type: Predicted Year: 2011 Ex: 68.627525","Age: 17 ex_fr_female$Type: Predicted Year: 2012 Ex: 68.479596","Age: 17 ex_fr_female$Type: Predicted Year: 2013 Ex: 68.698288","Age: 17 ex_fr_female$Type: Predicted Year: 2014 Ex: 69.069206","Age: 17 ex_fr_female$Type: Predicted Year: 2015 Ex: 68.792725","Age: 17 ex_fr_female$Type: Predicted Year: 2016 Ex: 68.967773","Age: 17 ex_fr_female$Type: Predicted Year: 2017 Ex: 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ex_fr_female$Type: Observed Year: 2005 Ex: 66.250000","Age: 18 ex_fr_female$Type: Observed Year: 2006 Ex: 66.610000","Age: 18 ex_fr_female$Type: Observed Year: 2007 Ex: 66.790000","Age: 18 ex_fr_female$Type: Observed Year: 2008 Ex: 66.760000","Age: 18 ex_fr_female$Type: Observed Year: 2009 Ex: 66.860000","Age: 18 ex_fr_female$Type: Observed Year: 2010 Ex: 67.070000","Age: 18 ex_fr_female$Type: Observed Year: 2011 Ex: 67.390000","Age: 18 ex_fr_female$Type: Observed Year: 2012 Ex: 67.240000","Age: 18 ex_fr_female$Type: Observed Year: 2013 Ex: 67.460000","Age: 18 ex_fr_female$Type: Observed Year: 2014 Ex: 67.830000","Age: 18 ex_fr_female$Type: Observed Year: 2015 Ex: 67.550000","Age: 18 ex_fr_female$Type: Observed Year: 2016 Ex: 67.730000","Age: 18 ex_fr_female$Type: Observed Year: 2017 Ex: 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18 ex_fr_female$Type: Predicted Year: 1816 Ex: 42.045031","Age: 18 ex_fr_female$Type: Predicted Year: 1817 Ex: 41.811597","Age: 18 ex_fr_female$Type: Predicted Year: 1818 Ex: 41.429263","Age: 18 ex_fr_female$Type: Predicted Year: 1819 Ex: 41.406421","Age: 18 ex_fr_female$Type: Predicted Year: 1820 Ex: 41.746643","Age: 18 ex_fr_female$Type: Predicted Year: 1821 Ex: 42.734577","Age: 18 ex_fr_female$Type: Predicted Year: 1822 Ex: 42.534499","Age: 18 ex_fr_female$Type: Predicted Year: 1823 Ex: 43.287256","Age: 18 ex_fr_female$Type: Predicted Year: 1824 Ex: 43.214710","Age: 18 ex_fr_female$Type: Predicted Year: 1825 Ex: 42.448453","Age: 18 ex_fr_female$Type: Predicted Year: 1826 Ex: 41.659258","Age: 18 ex_fr_female$Type: Predicted Year: 1827 Ex: 42.049736","Age: 18 ex_fr_female$Type: Predicted Year: 1828 Ex: 41.747293","Age: 18 ex_fr_female$Type: Predicted Year: 1829 Ex: 41.857866","Age: 18 ex_fr_female$Type: Predicted Year: 1830 Ex: 41.875553","Age: 18 ex_fr_female$Type: Predicted Year: 1831 Ex: 42.345127","Age: 18 ex_fr_female$Type: Predicted Year: 1832 Ex: 38.369934","Age: 18 ex_fr_female$Type: Predicted Year: 1833 Ex: 41.608916","Age: 18 ex_fr_female$Type: Predicted Year: 1834 Ex: 40.454671","Age: 18 ex_fr_female$Type: Predicted Year: 1835 Ex: 41.709769","Age: 18 ex_fr_female$Type: Predicted Year: 1836 Ex: 42.980427","Age: 18 ex_fr_female$Type: Predicted Year: 1837 Ex: 40.641335","Age: 18 ex_fr_female$Type: Predicted Year: 1838 Ex: 41.965361","Age: 18 ex_fr_female$Type: Predicted Year: 1839 Ex: 42.610376","Age: 18 ex_fr_female$Type: Predicted Year: 1840 Ex: 41.734307","Age: 18 ex_fr_female$Type: Predicted Year: 1841 Ex: 42.702763","Age: 18 ex_fr_female$Type: Predicted Year: 1842 Ex: 41.971096","Age: 18 ex_fr_female$Type: Predicted Year: 1843 Ex: 42.530559","Age: 18 ex_fr_female$Type: Predicted Year: 1844 Ex: 42.942942","Age: 18 ex_fr_female$Type: Predicted Year: 1845 Ex: 43.484544","Age: 18 ex_fr_female$Type: Predicted Year: 1846 Ex: 42.418740","Age: 18 ex_fr_female$Type: Predicted Year: 1847 Ex: 41.225026","Age: 18 ex_fr_female$Type: Predicted Year: 1848 Ex: 41.615994","Age: 18 ex_fr_female$Type: Predicted Year: 1849 Ex: 38.749509","Age: 18 ex_fr_female$Type: Predicted Year: 1850 Ex: 43.154135","Age: 18 ex_fr_female$Type: Predicted Year: 1851 Ex: 42.980880","Age: 18 ex_fr_female$Type: Predicted Year: 1852 Ex: 42.665850","Age: 18 ex_fr_female$Type: Predicted Year: 1853 Ex: 42.453001","Age: 18 ex_fr_female$Type: Predicted Year: 1854 Ex: 38.461449","Age: 18 ex_fr_female$Type: Predicted Year: 1855 Ex: 40.625058","Age: 18 ex_fr_female$Type: Predicted Year: 1856 Ex: 42.401801","Age: 18 ex_fr_female$Type: Predicted Year: 1857 Ex: 42.002802","Age: 18 ex_fr_female$Type: Predicted Year: 1858 Ex: 41.504238","Age: 18 ex_fr_female$Type: Predicted Year: 1859 Ex: 41.186364","Age: 18 ex_fr_female$Type: Predicted Year: 1860 Ex: 43.456168","Age: 18 ex_fr_female$Type: Predicted Year: 1861 Ex: 43.069103","Age: 18 ex_fr_female$Type: Predicted Year: 1862 Ex: 43.580692","Age: 18 ex_fr_female$Type: Predicted Year: 1863 Ex: 43.339132","Age: 18 ex_fr_female$Type: Predicted Year: 1864 Ex: 42.870729","Age: 18 ex_fr_female$Type: Predicted Year: 1865 Ex: 42.114193","Age: 18 ex_fr_female$Type: Predicted Year: 1866 Ex: 42.129689","Age: 18 ex_fr_female$Type: Predicted Year: 1867 Ex: 43.272234","Age: 18 ex_fr_female$Type: Predicted Year: 1868 Ex: 42.668117","Age: 18 ex_fr_female$Type: Predicted Year: 1869 Ex: 42.751909","Age: 18 ex_fr_female$Type: Predicted Year: 1870 Ex: 39.936403","Age: 18 ex_fr_female$Type: Predicted Year: 1871 Ex: 35.910642","Age: 18 ex_fr_female$Type: Predicted Year: 1872 Ex: 43.614380","Age: 18 ex_fr_female$Type: Predicted Year: 1873 Ex: 43.004087","Age: 18 ex_fr_female$Type: Predicted Year: 1874 Ex: 43.961834","Age: 18 ex_fr_female$Type: Predicted Year: 1875 Ex: 42.957999","Age: 18 ex_fr_female$Type: Predicted Year: 1876 Ex: 43.438000","Age: 18 ex_fr_female$Type: Predicted Year: 1877 Ex: 43.988353","Age: 18 ex_fr_female$Type: Predicted Year: 1878 Ex: 43.630004","Age: 18 ex_fr_female$Type: Predicted Year: 1879 Ex: 43.447932","Age: 18 ex_fr_female$Type: Predicted Year: 1880 Ex: 43.526224","Age: 18 ex_fr_female$Type: Predicted Year: 1881 Ex: 43.928764","Age: 18 ex_fr_female$Type: Predicted Year: 1882 Ex: 43.743338","Age: 18 ex_fr_female$Type: Predicted Year: 1883 Ex: 43.701560","Age: 18 ex_fr_female$Type: Predicted Year: 1884 Ex: 43.746136","Age: 18 ex_fr_female$Type: Predicted Year: 1885 Ex: 43.960981","Age: 18 ex_fr_female$Type: Predicted Year: 1886 Ex: 43.723351","Age: 18 ex_fr_female$Type: Predicted Year: 1887 Ex: 43.907928","Age: 18 ex_fr_female$Type: Predicted Year: 1888 Ex: 44.516619","Age: 18 ex_fr_female$Type: Predicted Year: 1889 Ex: 45.093546","Age: 18 ex_fr_female$Type: Predicted Year: 1890 Ex: 43.968309","Age: 18 ex_fr_female$Type: Predicted Year: 1891 Ex: 43.747123","Age: 18 ex_fr_female$Type: Predicted Year: 1892 Ex: 44.053832","Age: 18 ex_fr_female$Type: Predicted Year: 1893 Ex: 44.039575","Age: 18 ex_fr_female$Type: Predicted Year: 1894 Ex: 44.861647","Age: 18 ex_fr_female$Type: Predicted Year: 1895 Ex: 44.450033","Age: 18 ex_fr_female$Type: Predicted Year: 1896 Ex: 45.511569","Age: 18 ex_fr_female$Type: Predicted Year: 1897 Ex: 46.226045","Age: 18 ex_fr_female$Type: Predicted Year: 1898 Ex: 45.394867","Age: 18 ex_fr_female$Type: Predicted Year: 1899 Ex: 45.121551","Age: 18 ex_fr_female$Type: Predicted Year: 1900 Ex: 44.243713","Age: 18 ex_fr_female$Type: Predicted Year: 1901 Ex: 45.377636","Age: 18 ex_fr_female$Type: Predicted Year: 1902 Ex: 45.742545","Age: 18 ex_fr_female$Type: Predicted Year: 1903 Ex: 45.955576","Age: 18 ex_fr_female$Type: Predicted Year: 1904 Ex: 45.944907","Age: 18 ex_fr_female$Type: Predicted Year: 1905 Ex: 45.604861","Age: 18 ex_fr_female$Type: Predicted Year: 1906 Ex: 45.630227","Age: 18 ex_fr_female$Type: Predicted Year: 1907 Ex: 45.173635","Age: 18 ex_fr_female$Type: Predicted Year: 1908 Ex: 46.171014","Age: 18 ex_fr_female$Type: Predicted Year: 1909 Ex: 45.936430","Age: 18 ex_fr_female$Type: Predicted Year: 1910 Ex: 46.977334","Age: 18 ex_fr_female$Type: Predicted Year: 1911 Ex: 46.333520","Age: 18 ex_fr_female$Type: Predicted Year: 1912 Ex: 47.230516","Age: 18 ex_fr_female$Type: Predicted Year: 1913 Ex: 47.305372","Age: 18 ex_fr_female$Type: Predicted Year: 1914 Ex: 46.604898","Age: 18 ex_fr_female$Type: Predicted Year: 1915 Ex: 46.586303","Age: 18 ex_fr_female$Type: Predicted Year: 1916 Ex: 47.226701","Age: 18 ex_fr_female$Type: Predicted Year: 1917 Ex: 47.172361","Age: 18 ex_fr_female$Type: Predicted Year: 1918 Ex: 40.360520","Age: 18 ex_fr_female$Type: Predicted Year: 1919 Ex: 45.611001","Age: 18 ex_fr_female$Type: Predicted Year: 1920 Ex: 47.747491","Age: 18 ex_fr_female$Type: Predicted Year: 1921 Ex: 48.007450","Age: 18 ex_fr_female$Type: Predicted Year: 1922 Ex: 47.710144","Age: 18 ex_fr_female$Type: Predicted Year: 1923 Ex: 48.579134","Age: 18 ex_fr_female$Type: Predicted Year: 1924 Ex: 48.257905","Age: 18 ex_fr_female$Type: Predicted Year: 1925 Ex: 48.112118","Age: 18 ex_fr_female$Type: Predicted Year: 1926 Ex: 48.106651","Age: 18 ex_fr_female$Type: Predicted Year: 1927 Ex: 48.760690","Age: 18 ex_fr_female$Type: Predicted Year: 1928 Ex: 49.068840","Age: 18 ex_fr_female$Type: Predicted Year: 1929 Ex: 48.071291","Age: 18 ex_fr_female$Type: Predicted Year: 1930 Ex: 49.716475","Age: 18 ex_fr_female$Type: Predicted Year: 1931 Ex: 49.233628","Age: 18 ex_fr_female$Type: Predicted Year: 1932 Ex: 49.787384","Age: 18 ex_fr_female$Type: Predicted Year: 1933 Ex: 49.891702","Age: 18 ex_fr_female$Type: Predicted Year: 1934 Ex: 50.642627","Age: 18 ex_fr_female$Type: Predicted Year: 1935 Ex: 50.134003","Age: 18 ex_fr_female$Type: Predicted Year: 1936 Ex: 50.718323","Age: 18 ex_fr_female$Type: Predicted Year: 1937 Ex: 51.004309","Age: 18 ex_fr_female$Type: Predicted Year: 1938 Ex: 50.810115","Age: 18 ex_fr_female$Type: Predicted Year: 1939 Ex: 51.068775","Age: 18 ex_fr_female$Type: Predicted Year: 1940 Ex: 49.230890","Age: 18 ex_fr_female$Type: Predicted Year: 1941 Ex: 50.601812","Age: 18 ex_fr_female$Type: Predicted Year: 1942 Ex: 50.667646","Age: 18 ex_fr_female$Type: Predicted Year: 1943 Ex: 47.696398","Age: 18 ex_fr_female$Type: Predicted Year: 1944 Ex: 43.413704","Age: 18 ex_fr_female$Type: Predicted Year: 1945 Ex: 50.372885","Age: 18 ex_fr_female$Type: Predicted Year: 1946 Ex: 54.220197","Age: 18 ex_fr_female$Type: Predicted Year: 1947 Ex: 54.906875","Age: 18 ex_fr_female$Type: Predicted Year: 1948 Ex: 55.710363","Age: 18 ex_fr_female$Type: Predicted Year: 1949 Ex: 54.806961","Age: 18 ex_fr_female$Type: Predicted Year: 1950 Ex: 55.731826","Age: 18 ex_fr_female$Type: Predicted Year: 1951 Ex: 55.321630","Age: 18 ex_fr_female$Type: Predicted Year: 1952 Ex: 56.368063","Age: 18 ex_fr_female$Type: Predicted Year: 1953 Ex: 55.916712","Age: 18 ex_fr_female$Type: Predicted Year: 1954 Ex: 56.888166","Age: 18 ex_fr_female$Type: Predicted Year: 1955 Ex: 57.035649","Age: 18 ex_fr_female$Type: Predicted Year: 1956 Ex: 56.914529","Age: 18 ex_fr_female$Type: Predicted Year: 1957 Ex: 57.387890","Age: 18 ex_fr_female$Type: Predicted Year: 1958 Ex: 58.198699","Age: 18 ex_fr_female$Type: Predicted Year: 1959 Ex: 58.214166","Age: 18 ex_fr_female$Type: Predicted Year: 1960 Ex: 58.213998","Age: 18 ex_fr_female$Type: Predicted Year: 1961 Ex: 58.897920","Age: 18 ex_fr_female$Type: Predicted Year: 1962 Ex: 58.378987","Age: 18 ex_fr_female$Type: Predicted Year: 1963 Ex: 58.294465","Age: 18 ex_fr_female$Type: Predicted Year: 1964 Ex: 59.150596","Age: 18 ex_fr_female$Type: Predicted Year: 1965 Ex: 58.918704","Age: 18 ex_fr_female$Type: Predicted Year: 1966 Ex: 59.344250","Age: 18 ex_fr_female$Type: Predicted Year: 1967 Ex: 59.314926","Age: 18 ex_fr_female$Type: Predicted Year: 1968 Ex: 59.347034","Age: 18 ex_fr_female$Type: Predicted Year: 1969 Ex: 59.128849","Age: 18 ex_fr_female$Type: Predicted Year: 1970 Ex: 59.777345","Age: 18 ex_fr_female$Type: Predicted Year: 1971 Ex: 59.798157","Age: 18 ex_fr_female$Type: Predicted Year: 1972 Ex: 60.022089","Age: 18 ex_fr_female$Type: Predicted Year: 1973 Ex: 60.090653","Age: 18 ex_fr_female$Type: Predicted Year: 1974 Ex: 60.435150","Age: 18 ex_fr_female$Type: Predicted Year: 1975 Ex: 60.473943","Age: 18 ex_fr_female$Type: Predicted Year: 1976 Ex: 60.743363","Age: 18 ex_fr_female$Type: Predicted Year: 1977 Ex: 61.315232","Age: 18 ex_fr_female$Type: Predicted Year: 1978 Ex: 61.360953","Age: 18 ex_fr_female$Type: Predicted Year: 1979 Ex: 61.644433","Age: 18 ex_fr_female$Type: Predicted Year: 1980 Ex: 61.764918","Age: 18 ex_fr_female$Type: Predicted Year: 1981 Ex: 61.826665","Age: 18 ex_fr_female$Type: Predicted Year: 1982 Ex: 62.172931","Age: 18 ex_fr_female$Type: Predicted Year: 1983 Ex: 62.067851","Age: 18 ex_fr_female$Type: Predicted Year: 1984 Ex: 62.554739","Age: 18 ex_fr_female$Type: Predicted Year: 1985 Ex: 62.610694","Age: 18 ex_fr_female$Type: Predicted Year: 1986 Ex: 62.859772","Age: 18 ex_fr_female$Type: Predicted Year: 1987 Ex: 63.384637","Age: 18 ex_fr_female$Type: Predicted Year: 1988 Ex: 63.583094","Age: 18 ex_fr_female$Type: Predicted Year: 1989 Ex: 63.737622","Age: 18 ex_fr_female$Type: Predicted Year: 1990 Ex: 64.001295","Age: 18 ex_fr_female$Type: Predicted Year: 1991 Ex: 64.213950","Age: 18 ex_fr_female$Type: Predicted Year: 1992 Ex: 64.432962","Age: 18 ex_fr_female$Type: Predicted Year: 1993 Ex: 64.407155","Age: 18 ex_fr_female$Type: Predicted Year: 1994 Ex: 64.796274","Age: 18 ex_fr_female$Type: Predicted Year: 1995 Ex: 64.760315","Age: 18 ex_fr_female$Type: Predicted Year: 1996 Ex: 64.863070","Age: 18 ex_fr_female$Type: Predicted Year: 1997 Ex: 65.122794","Age: 18 ex_fr_female$Type: Predicted Year: 1998 Ex: 65.215912","Age: 18 ex_fr_female$Type: Predicted Year: 1999 Ex: 65.294545","Age: 18 ex_fr_female$Type: Predicted Year: 2000 Ex: 65.582131","Age: 18 ex_fr_female$Type: Predicted Year: 2001 Ex: 65.728098","Age: 18 ex_fr_female$Type: Predicted Year: 2002 Ex: 65.786452","Age: 18 ex_fr_female$Type: Predicted Year: 2003 Ex: 65.678118","Age: 18 ex_fr_female$Type: Predicted Year: 2004 Ex: 66.572272","Age: 18 ex_fr_female$Type: Predicted Year: 2005 Ex: 66.500235","Age: 18 ex_fr_female$Type: Predicted Year: 2006 Ex: 66.862325","Age: 18 ex_fr_female$Type: Predicted Year: 2007 Ex: 67.040425","Age: 18 ex_fr_female$Type: Predicted Year: 2008 Ex: 67.007235","Age: 18 ex_fr_female$Type: Predicted Year: 2009 Ex: 67.108874","Age: 18 ex_fr_female$Type: Predicted Year: 2010 Ex: 67.317743","Age: 18 ex_fr_female$Type: Predicted Year: 2011 Ex: 67.639108","Age: 18 ex_fr_female$Type: Predicted Year: 2012 Ex: 67.489114","Age: 18 ex_fr_female$Type: Predicted Year: 2013 Ex: 67.709883","Age: 18 ex_fr_female$Type: Predicted Year: 2014 Ex: 68.078806","Age: 18 ex_fr_female$Type: Predicted Year: 2015 Ex: 67.801604","Age: 18 ex_fr_female$Type: Predicted Year: 2016 Ex: 67.976674","Age: 18 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1926 Ex: 47.110000","Age: 19 ex_fr_female$Type: Observed Year: 1927 Ex: 47.750000","Age: 19 ex_fr_female$Type: Observed Year: 1928 Ex: 48.060000","Age: 19 ex_fr_female$Type: Observed Year: 1929 Ex: 47.050000","Age: 19 ex_fr_female$Type: Observed Year: 1930 Ex: 48.680000","Age: 19 ex_fr_female$Type: Observed Year: 1931 Ex: 48.190000","Age: 19 ex_fr_female$Type: Observed Year: 1932 Ex: 48.730000","Age: 19 ex_fr_female$Type: Observed Year: 1933 Ex: 48.830000","Age: 19 ex_fr_female$Type: Observed Year: 1934 Ex: 49.570000","Age: 19 ex_fr_female$Type: Observed Year: 1935 Ex: 49.070000","Age: 19 ex_fr_female$Type: Observed Year: 1936 Ex: 49.640000","Age: 19 ex_fr_female$Type: Observed Year: 1937 Ex: 49.930000","Age: 19 ex_fr_female$Type: Observed Year: 1938 Ex: 49.710000","Age: 19 ex_fr_female$Type: Observed Year: 1939 Ex: 49.960000","Age: 19 ex_fr_female$Type: Observed Year: 1940 Ex: 48.140000","Age: 19 ex_fr_female$Type: Observed Year: 1941 Ex: 49.510000","Age: 19 ex_fr_female$Type: Observed Year: 1942 Ex: 49.590000","Age: 19 ex_fr_female$Type: Observed Year: 1943 Ex: 46.670000","Age: 19 ex_fr_female$Type: Observed Year: 1944 Ex: 42.390000","Age: 19 ex_fr_female$Type: Observed Year: 1945 Ex: 49.280000","Age: 19 ex_fr_female$Type: Observed Year: 1946 Ex: 53.080000","Age: 19 ex_fr_female$Type: Observed Year: 1947 Ex: 53.740000","Age: 19 ex_fr_female$Type: Observed Year: 1948 Ex: 54.530000","Age: 19 ex_fr_female$Type: Observed Year: 1949 Ex: 53.630000","Age: 19 ex_fr_female$Type: Observed Year: 1950 Ex: 54.530000","Age: 19 ex_fr_female$Type: Observed Year: 1951 Ex: 54.120000","Age: 19 ex_fr_female$Type: Observed Year: 1952 Ex: 55.160000","Age: 19 ex_fr_female$Type: Observed Year: 1953 Ex: 54.710000","Age: 19 ex_fr_female$Type: Observed Year: 1954 Ex: 55.670000","Age: 19 ex_fr_female$Type: Observed Year: 1955 Ex: 55.810000","Age: 19 ex_fr_female$Type: Observed Year: 1956 Ex: 55.690000","Age: 19 ex_fr_female$Type: Observed Year: 1957 Ex: 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Observed Year: 1989 Ex: 62.510000","Age: 19 ex_fr_female$Type: Observed Year: 1990 Ex: 62.780000","Age: 19 ex_fr_female$Type: Observed Year: 1991 Ex: 62.990000","Age: 19 ex_fr_female$Type: Observed Year: 1992 Ex: 63.210000","Age: 19 ex_fr_female$Type: Observed Year: 1993 Ex: 63.180000","Age: 19 ex_fr_female$Type: Observed Year: 1994 Ex: 63.570000","Age: 19 ex_fr_female$Type: Observed Year: 1995 Ex: 63.530000","Age: 19 ex_fr_female$Type: Observed Year: 1996 Ex: 63.640000","Age: 19 ex_fr_female$Type: Observed Year: 1997 Ex: 63.890000","Age: 19 ex_fr_female$Type: Observed Year: 1998 Ex: 63.990000","Age: 19 ex_fr_female$Type: Observed Year: 1999 Ex: 64.060000","Age: 19 ex_fr_female$Type: Observed Year: 2000 Ex: 64.350000","Age: 19 ex_fr_female$Type: Observed Year: 2001 Ex: 64.500000","Age: 19 ex_fr_female$Type: Observed Year: 2002 Ex: 64.560000","Age: 19 ex_fr_female$Type: Observed Year: 2003 Ex: 64.440000","Age: 19 ex_fr_female$Type: Observed Year: 2004 Ex: 65.340000","Age: 19 ex_fr_female$Type: Observed Year: 2005 Ex: 65.270000","Age: 19 ex_fr_female$Type: Observed Year: 2006 Ex: 65.620000","Age: 19 ex_fr_female$Type: Observed Year: 2007 Ex: 65.800000","Age: 19 ex_fr_female$Type: Observed Year: 2008 Ex: 65.770000","Age: 19 ex_fr_female$Type: Observed Year: 2009 Ex: 65.870000","Age: 19 ex_fr_female$Type: Observed Year: 2010 Ex: 66.080000","Age: 19 ex_fr_female$Type: Observed Year: 2011 Ex: 66.400000","Age: 19 ex_fr_female$Type: Observed Year: 2012 Ex: 66.250000","Age: 19 ex_fr_female$Type: Observed Year: 2013 Ex: 66.470000","Age: 19 ex_fr_female$Type: Observed Year: 2014 Ex: 66.840000","Age: 19 ex_fr_female$Type: Observed Year: 2015 Ex: 66.570000","Age: 19 ex_fr_female$Type: Observed Year: 2016 Ex: 66.740000","Age: 19 ex_fr_female$Type: Observed Year: 2017 Ex: 66.710000"],"frame":"19","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[41.352350022948,41.1259305008157,40.7563618242275,40.7374607368329,41.0496772091456,42.0576354710811,41.8767870198407,42.5929899352924,42.5177740573065,41.7887717264136,41.0189085165045,41.3801177986964,41.0873286787131,41.1733848129279,41.2016304877675,41.6824975443228,37.7084832015347,40.9436664674556,39.8291952142818,41.0357860631595,42.2775510567088,39.9584956299457,41.2837888290266,41.9426690467624,41.087958462649,42.0472718254441,41.3104687681002,41.8745098217444,42.2624622737035,42.8007797801428,41.7837580449906,40.5681488005198,40.9383688513611,38.0968542270646,42.4623540510546,42.2899864761832,41.9964562890243,41.8081619809531,37.8364532921476,40.0100909955724,41.7818902677508,41.3755034386654,40.8546748553221,40.5673358224178,42.7812836209272,42.4015835291425,42.9050135858986,42.6555926547122,42.1867176214546,41.4484436115474,41.4628051749449,42.5912166273754,42.0063917462731,42.0797839798876,39.3080593596252,35.3808087603111,42.9354799790928,42.3343466355497,43.270198883775,42.2532559727239,42.7461079489283,43.2903376675717,42.9308024755212,42.7357855826601,42.8301987838602,43.2408310652178,43.0553797128818,43.0076439768824,43.0451315535399,43.2474608095811,43.0160967067895,43.1923099132163,43.8253746018794,44.3982654068518,43.3183281288126,43.073132951538,43.3610957205628,43.3462996860144,44.1437938197771,43.7326582253788,44.7838096263344,45.4920277215188,44.6573688780424,44.3927798367222,43.5131266801785,44.6188260519732,44.9938847775356,45.2030717633638,45.2019407992459,44.8454591780461,44.8841193294572,44.4060941092216,45.397187639303,45.1559626917754,46.2107699172778,45.5637228729903,46.4520749269623,46.52728601011,45.8202484529466,45.8173120871579,46.4566938939959,46.403493651624,39.7671678687469,44.8870202553987,46.9828963283741,47.2307833770546,46.9287595975937,47.8080538232609,47.4910538880891,47.3569967193881,47.3471950755765,47.9919291955975,48.3044839197675,47.287756328079,48.9280671749208,48.4358032875552,48.9720638264618,49.0762770330578,49.8149117512525,49.311513514548,49.8828055111243,50.1727688109616,49.9572349802733,50.2019457485365,48.3841455761643,49.7473179560025,49.8269294480339,46.9140018200113,42.6447707682467,49.519226569773,53.3239769851826,53.9896361959661,54.7827364774466,53.8770620895893,54.7837686123776,54.3693455851513,55.4099797263719,54.9566264223052,55.9248306391534,56.0661865729156,55.9461297499128,56.4226019960181,57.2258242562346,57.2459172359435,57.2405525487743,57.9230365650883,57.4119877234221,57.3227908015915,58.1822759742849,57.9490891354679,58.3742686752349,58.34846034218,58.385297206696,58.1628630973869,58.8212260908362,58.8355267335605,59.0590036636407,59.1347660675752,59.4741201923041,59.5159398516234,59.7813279849631,60.3565999676799,60.396263048906,60.6823547447583,60.801687562333,60.8622448424987,61.2056267119108,61.1017226569366,61.5882576818821,61.6398933600876,61.8928314612923,62.4091672681311,62.6089630250499,62.7654529663461,63.0273360552655,63.2407150507728,63.4591797218646,63.4359194518325,63.819424451836,63.784096139607,63.8849568268019,64.1454156839012,64.2411556578539,64.3159311220906,64.6055643210475,64.75093172518,64.8112653326439,64.6944140757038,65.5914357624744,65.5180572843403,65.8775895959965,66.0557310799228,66.0225329358576,66.1195322120114,66.3324443231434,66.6538802051403,66.5038529677416,66.7192932218932,67.091647486906,66.8157384601077,66.9874713653594,66.9593995021717],"text":["Age: 19 ex_fr_female$Type: Predicted Year: 1816 Ex: 41.352350","Age: 19 ex_fr_female$Type: Predicted Year: 1817 Ex: 41.125931","Age: 19 ex_fr_female$Type: Predicted Year: 1818 Ex: 40.756362","Age: 19 ex_fr_female$Type: Predicted Year: 1819 Ex: 40.737461","Age: 19 ex_fr_female$Type: Predicted Year: 1820 Ex: 41.049677","Age: 19 ex_fr_female$Type: Predicted Year: 1821 Ex: 42.057635","Age: 19 ex_fr_female$Type: Predicted Year: 1822 Ex: 41.876787","Age: 19 ex_fr_female$Type: Predicted Year: 1823 Ex: 42.592990","Age: 19 ex_fr_female$Type: Predicted Year: 1824 Ex: 42.517774","Age: 19 ex_fr_female$Type: Predicted Year: 1825 Ex: 41.788772","Age: 19 ex_fr_female$Type: Predicted Year: 1826 Ex: 41.018909","Age: 19 ex_fr_female$Type: Predicted Year: 1827 Ex: 41.380118","Age: 19 ex_fr_female$Type: Predicted Year: 1828 Ex: 41.087329","Age: 19 ex_fr_female$Type: Predicted Year: 1829 Ex: 41.173385","Age: 19 ex_fr_female$Type: Predicted Year: 1830 Ex: 41.201630","Age: 19 ex_fr_female$Type: Predicted Year: 1831 Ex: 41.682498","Age: 19 ex_fr_female$Type: Predicted Year: 1832 Ex: 37.708483","Age: 19 ex_fr_female$Type: Predicted Year: 1833 Ex: 40.943666","Age: 19 ex_fr_female$Type: Predicted Year: 1834 Ex: 39.829195","Age: 19 ex_fr_female$Type: Predicted Year: 1835 Ex: 41.035786","Age: 19 ex_fr_female$Type: Predicted Year: 1836 Ex: 42.277551","Age: 19 ex_fr_female$Type: Predicted Year: 1837 Ex: 39.958496","Age: 19 ex_fr_female$Type: Predicted Year: 1838 Ex: 41.283789","Age: 19 ex_fr_female$Type: Predicted Year: 1839 Ex: 41.942669","Age: 19 ex_fr_female$Type: Predicted Year: 1840 Ex: 41.087958","Age: 19 ex_fr_female$Type: Predicted Year: 1841 Ex: 42.047272","Age: 19 ex_fr_female$Type: Predicted Year: 1842 Ex: 41.310469","Age: 19 ex_fr_female$Type: Predicted Year: 1843 Ex: 41.874510","Age: 19 ex_fr_female$Type: Predicted Year: 1844 Ex: 42.262462","Age: 19 ex_fr_female$Type: Predicted Year: 1845 Ex: 42.800780","Age: 19 ex_fr_female$Type: Predicted Year: 1846 Ex: 41.783758","Age: 19 ex_fr_female$Type: Predicted Year: 1847 Ex: 40.568149","Age: 19 ex_fr_female$Type: Predicted Year: 1848 Ex: 40.938369","Age: 19 ex_fr_female$Type: Predicted Year: 1849 Ex: 38.096854","Age: 19 ex_fr_female$Type: Predicted Year: 1850 Ex: 42.462354","Age: 19 ex_fr_female$Type: Predicted Year: 1851 Ex: 42.289986","Age: 19 ex_fr_female$Type: Predicted Year: 1852 Ex: 41.996456","Age: 19 ex_fr_female$Type: Predicted Year: 1853 Ex: 41.808162","Age: 19 ex_fr_female$Type: Predicted Year: 1854 Ex: 37.836453","Age: 19 ex_fr_female$Type: Predicted Year: 1855 Ex: 40.010091","Age: 19 ex_fr_female$Type: Predicted Year: 1856 Ex: 41.781890","Age: 19 ex_fr_female$Type: Predicted Year: 1857 Ex: 41.375503","Age: 19 ex_fr_female$Type: Predicted Year: 1858 Ex: 40.854675","Age: 19 ex_fr_female$Type: Predicted Year: 1859 Ex: 40.567336","Age: 19 ex_fr_female$Type: Predicted Year: 1860 Ex: 42.781284","Age: 19 ex_fr_female$Type: Predicted Year: 1861 Ex: 42.401584","Age: 19 ex_fr_female$Type: Predicted Year: 1862 Ex: 42.905014","Age: 19 ex_fr_female$Type: Predicted Year: 1863 Ex: 42.655593","Age: 19 ex_fr_female$Type: Predicted Year: 1864 Ex: 42.186718","Age: 19 ex_fr_female$Type: Predicted Year: 1865 Ex: 41.448444","Age: 19 ex_fr_female$Type: Predicted Year: 1866 Ex: 41.462805","Age: 19 ex_fr_female$Type: Predicted Year: 1867 Ex: 42.591217","Age: 19 ex_fr_female$Type: Predicted Year: 1868 Ex: 42.006392","Age: 19 ex_fr_female$Type: Predicted Year: 1869 Ex: 42.079784","Age: 19 ex_fr_female$Type: Predicted Year: 1870 Ex: 39.308059","Age: 19 ex_fr_female$Type: Predicted Year: 1871 Ex: 35.380809","Age: 19 ex_fr_female$Type: Predicted Year: 1872 Ex: 42.935480","Age: 19 ex_fr_female$Type: Predicted Year: 1873 Ex: 42.334347","Age: 19 ex_fr_female$Type: Predicted Year: 1874 Ex: 43.270199","Age: 19 ex_fr_female$Type: Predicted Year: 1875 Ex: 42.253256","Age: 19 ex_fr_female$Type: Predicted Year: 1876 Ex: 42.746108","Age: 19 ex_fr_female$Type: Predicted Year: 1877 Ex: 43.290338","Age: 19 ex_fr_female$Type: Predicted Year: 1878 Ex: 42.930802","Age: 19 ex_fr_female$Type: Predicted Year: 1879 Ex: 42.735786","Age: 19 ex_fr_female$Type: Predicted Year: 1880 Ex: 42.830199","Age: 19 ex_fr_female$Type: Predicted Year: 1881 Ex: 43.240831","Age: 19 ex_fr_female$Type: Predicted Year: 1882 Ex: 43.055380","Age: 19 ex_fr_female$Type: Predicted Year: 1883 Ex: 43.007644","Age: 19 ex_fr_female$Type: Predicted Year: 1884 Ex: 43.045132","Age: 19 ex_fr_female$Type: Predicted Year: 1885 Ex: 43.247461","Age: 19 ex_fr_female$Type: Predicted Year: 1886 Ex: 43.016097","Age: 19 ex_fr_female$Type: Predicted Year: 1887 Ex: 43.192310","Age: 19 ex_fr_female$Type: Predicted Year: 1888 Ex: 43.825375","Age: 19 ex_fr_female$Type: Predicted Year: 1889 Ex: 44.398265","Age: 19 ex_fr_female$Type: Predicted Year: 1890 Ex: 43.318328","Age: 19 ex_fr_female$Type: Predicted Year: 1891 Ex: 43.073133","Age: 19 ex_fr_female$Type: Predicted Year: 1892 Ex: 43.361096","Age: 19 ex_fr_female$Type: Predicted Year: 1893 Ex: 43.346300","Age: 19 ex_fr_female$Type: Predicted Year: 1894 Ex: 44.143794","Age: 19 ex_fr_female$Type: Predicted Year: 1895 Ex: 43.732658","Age: 19 ex_fr_female$Type: Predicted Year: 1896 Ex: 44.783810","Age: 19 ex_fr_female$Type: Predicted Year: 1897 Ex: 45.492028","Age: 19 ex_fr_female$Type: Predicted Year: 1898 Ex: 44.657369","Age: 19 ex_fr_female$Type: Predicted Year: 1899 Ex: 44.392780","Age: 19 ex_fr_female$Type: Predicted Year: 1900 Ex: 43.513127","Age: 19 ex_fr_female$Type: Predicted Year: 1901 Ex: 44.618826","Age: 19 ex_fr_female$Type: Predicted Year: 1902 Ex: 44.993885","Age: 19 ex_fr_female$Type: Predicted Year: 1903 Ex: 45.203072","Age: 19 ex_fr_female$Type: Predicted Year: 1904 Ex: 45.201941","Age: 19 ex_fr_female$Type: Predicted Year: 1905 Ex: 44.845459","Age: 19 ex_fr_female$Type: Predicted Year: 1906 Ex: 44.884119","Age: 19 ex_fr_female$Type: Predicted Year: 1907 Ex: 44.406094","Age: 19 ex_fr_female$Type: Predicted Year: 1908 Ex: 45.397188","Age: 19 ex_fr_female$Type: Predicted Year: 1909 Ex: 45.155963","Age: 19 ex_fr_female$Type: Predicted Year: 1910 Ex: 46.210770","Age: 19 ex_fr_female$Type: Predicted Year: 1911 Ex: 45.563723","Age: 19 ex_fr_female$Type: Predicted Year: 1912 Ex: 46.452075","Age: 19 ex_fr_female$Type: Predicted Year: 1913 Ex: 46.527286","Age: 19 ex_fr_female$Type: Predicted Year: 1914 Ex: 45.820248","Age: 19 ex_fr_female$Type: Predicted Year: 1915 Ex: 45.817312","Age: 19 ex_fr_female$Type: Predicted Year: 1916 Ex: 46.456694","Age: 19 ex_fr_female$Type: Predicted Year: 1917 Ex: 46.403494","Age: 19 ex_fr_female$Type: Predicted Year: 1918 Ex: 39.767168","Age: 19 ex_fr_female$Type: Predicted Year: 1919 Ex: 44.887020","Age: 19 ex_fr_female$Type: Predicted Year: 1920 Ex: 46.982896","Age: 19 ex_fr_female$Type: Predicted Year: 1921 Ex: 47.230783","Age: 19 ex_fr_female$Type: Predicted Year: 1922 Ex: 46.928760","Age: 19 ex_fr_female$Type: Predicted Year: 1923 Ex: 47.808054","Age: 19 ex_fr_female$Type: Predicted Year: 1924 Ex: 47.491054","Age: 19 ex_fr_female$Type: Predicted Year: 1925 Ex: 47.356997","Age: 19 ex_fr_female$Type: Predicted Year: 1926 Ex: 47.347195","Age: 19 ex_fr_female$Type: Predicted Year: 1927 Ex: 47.991929","Age: 19 ex_fr_female$Type: Predicted Year: 1928 Ex: 48.304484","Age: 19 ex_fr_female$Type: Predicted Year: 1929 Ex: 47.287756","Age: 19 ex_fr_female$Type: Predicted Year: 1930 Ex: 48.928067","Age: 19 ex_fr_female$Type: Predicted Year: 1931 Ex: 48.435803","Age: 19 ex_fr_female$Type: Predicted Year: 1932 Ex: 48.972064","Age: 19 ex_fr_female$Type: Predicted Year: 1933 Ex: 49.076277","Age: 19 ex_fr_female$Type: Predicted Year: 1934 Ex: 49.814912","Age: 19 ex_fr_female$Type: Predicted Year: 1935 Ex: 49.311514","Age: 19 ex_fr_female$Type: Predicted Year: 1936 Ex: 49.882806","Age: 19 ex_fr_female$Type: Predicted Year: 1937 Ex: 50.172769","Age: 19 ex_fr_female$Type: Predicted Year: 1938 Ex: 49.957235","Age: 19 ex_fr_female$Type: Predicted Year: 1939 Ex: 50.201946","Age: 19 ex_fr_female$Type: Predicted Year: 1940 Ex: 48.384146","Age: 19 ex_fr_female$Type: Predicted Year: 1941 Ex: 49.747318","Age: 19 ex_fr_female$Type: Predicted Year: 1942 Ex: 49.826929","Age: 19 ex_fr_female$Type: Predicted Year: 1943 Ex: 46.914002","Age: 19 ex_fr_female$Type: Predicted Year: 1944 Ex: 42.644771","Age: 19 ex_fr_female$Type: Predicted Year: 1945 Ex: 49.519227","Age: 19 ex_fr_female$Type: Predicted Year: 1946 Ex: 53.323977","Age: 19 ex_fr_female$Type: Predicted Year: 1947 Ex: 53.989636","Age: 19 ex_fr_female$Type: Predicted Year: 1948 Ex: 54.782736","Age: 19 ex_fr_female$Type: Predicted Year: 1949 Ex: 53.877062","Age: 19 ex_fr_female$Type: Predicted Year: 1950 Ex: 54.783769","Age: 19 ex_fr_female$Type: Predicted Year: 1951 Ex: 54.369346","Age: 19 ex_fr_female$Type: Predicted Year: 1952 Ex: 55.409980","Age: 19 ex_fr_female$Type: Predicted Year: 1953 Ex: 54.956626","Age: 19 ex_fr_female$Type: Predicted Year: 1954 Ex: 55.924831","Age: 19 ex_fr_female$Type: Predicted Year: 1955 Ex: 56.066187","Age: 19 ex_fr_female$Type: Predicted Year: 1956 Ex: 55.946130","Age: 19 ex_fr_female$Type: Predicted Year: 1957 Ex: 56.422602","Age: 19 ex_fr_female$Type: Predicted Year: 1958 Ex: 57.225824","Age: 19 ex_fr_female$Type: Predicted Year: 1959 Ex: 57.245917","Age: 19 ex_fr_female$Type: Predicted Year: 1960 Ex: 57.240553","Age: 19 ex_fr_female$Type: Predicted Year: 1961 Ex: 57.923037","Age: 19 ex_fr_female$Type: Predicted Year: 1962 Ex: 57.411988","Age: 19 ex_fr_female$Type: Predicted Year: 1963 Ex: 57.322791","Age: 19 ex_fr_female$Type: Predicted Year: 1964 Ex: 58.182276","Age: 19 ex_fr_female$Type: Predicted Year: 1965 Ex: 57.949089","Age: 19 ex_fr_female$Type: Predicted Year: 1966 Ex: 58.374269","Age: 19 ex_fr_female$Type: Predicted Year: 1967 Ex: 58.348460","Age: 19 ex_fr_female$Type: Predicted Year: 1968 Ex: 58.385297","Age: 19 ex_fr_female$Type: Predicted Year: 1969 Ex: 58.162863","Age: 19 ex_fr_female$Type: Predicted Year: 1970 Ex: 58.821226","Age: 19 ex_fr_female$Type: Predicted Year: 1971 Ex: 58.835527","Age: 19 ex_fr_female$Type: Predicted Year: 1972 Ex: 59.059004","Age: 19 ex_fr_female$Type: Predicted Year: 1973 Ex: 59.134766","Age: 19 ex_fr_female$Type: Predicted Year: 1974 Ex: 59.474120","Age: 19 ex_fr_female$Type: Predicted Year: 1975 Ex: 59.515940","Age: 19 ex_fr_female$Type: Predicted Year: 1976 Ex: 59.781328","Age: 19 ex_fr_female$Type: Predicted Year: 1977 Ex: 60.356600","Age: 19 ex_fr_female$Type: Predicted Year: 1978 Ex: 60.396263","Age: 19 ex_fr_female$Type: Predicted Year: 1979 Ex: 60.682355","Age: 19 ex_fr_female$Type: Predicted Year: 1980 Ex: 60.801688","Age: 19 ex_fr_female$Type: Predicted Year: 1981 Ex: 60.862245","Age: 19 ex_fr_female$Type: Predicted Year: 1982 Ex: 61.205627","Age: 19 ex_fr_female$Type: Predicted Year: 1983 Ex: 61.101723","Age: 19 ex_fr_female$Type: Predicted Year: 1984 Ex: 61.588258","Age: 19 ex_fr_female$Type: Predicted Year: 1985 Ex: 61.639893","Age: 19 ex_fr_female$Type: Predicted Year: 1986 Ex: 61.892831","Age: 19 ex_fr_female$Type: Predicted Year: 1987 Ex: 62.409167","Age: 19 ex_fr_female$Type: Predicted Year: 1988 Ex: 62.608963","Age: 19 ex_fr_female$Type: Predicted Year: 1989 Ex: 62.765453","Age: 19 ex_fr_female$Type: Predicted Year: 1990 Ex: 63.027336","Age: 19 ex_fr_female$Type: Predicted Year: 1991 Ex: 63.240715","Age: 19 ex_fr_female$Type: Predicted Year: 1992 Ex: 63.459180","Age: 19 ex_fr_female$Type: Predicted Year: 1993 Ex: 63.435919","Age: 19 ex_fr_female$Type: Predicted Year: 1994 Ex: 63.819424","Age: 19 ex_fr_female$Type: Predicted Year: 1995 Ex: 63.784096","Age: 19 ex_fr_female$Type: Predicted Year: 1996 Ex: 63.884957","Age: 19 ex_fr_female$Type: Predicted Year: 1997 Ex: 64.145416","Age: 19 ex_fr_female$Type: Predicted Year: 1998 Ex: 64.241156","Age: 19 ex_fr_female$Type: Predicted Year: 1999 Ex: 64.315931","Age: 19 ex_fr_female$Type: Predicted Year: 2000 Ex: 64.605564","Age: 19 ex_fr_female$Type: Predicted Year: 2001 Ex: 64.750932","Age: 19 ex_fr_female$Type: Predicted Year: 2002 Ex: 64.811265","Age: 19 ex_fr_female$Type: Predicted Year: 2003 Ex: 64.694414","Age: 19 ex_fr_female$Type: Predicted Year: 2004 Ex: 65.591436","Age: 19 ex_fr_female$Type: Predicted Year: 2005 Ex: 65.518057","Age: 19 ex_fr_female$Type: Predicted Year: 2006 Ex: 65.877590","Age: 19 ex_fr_female$Type: Predicted Year: 2007 Ex: 66.055731","Age: 19 ex_fr_female$Type: Predicted Year: 2008 Ex: 66.022533","Age: 19 ex_fr_female$Type: Predicted Year: 2009 Ex: 66.119532","Age: 19 ex_fr_female$Type: Predicted Year: 2010 Ex: 66.332444","Age: 19 ex_fr_female$Type: Predicted Year: 2011 Ex: 66.653880","Age: 19 ex_fr_female$Type: Predicted Year: 2012 Ex: 66.503853","Age: 19 ex_fr_female$Type: Predicted Year: 2013 Ex: 66.719293","Age: 19 ex_fr_female$Type: Predicted Year: 2014 Ex: 67.091647","Age: 19 ex_fr_female$Type: Predicted Year: 2015 Ex: 66.815738","Age: 19 ex_fr_female$Type: Predicted Year: 2016 Ex: 66.987471","Age: 19 ex_fr_female$Type: Predicted Year: 2017 Ex: 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43.190000","Age: 20 ex_fr_female$Type: Observed Year: 1895 Ex: 42.770000","Age: 20 ex_fr_female$Type: Observed Year: 1896 Ex: 43.830000","Age: 20 ex_fr_female$Type: Observed Year: 1897 Ex: 44.500000","Age: 20 ex_fr_female$Type: Observed Year: 1898 Ex: 43.660000","Age: 20 ex_fr_female$Type: Observed Year: 1899 Ex: 43.410000","Age: 20 ex_fr_female$Type: Observed Year: 1900 Ex: 42.520000","Age: 20 ex_fr_female$Type: Observed Year: 1901 Ex: 43.620000","Age: 20 ex_fr_female$Type: Observed Year: 1902 Ex: 44.000000","Age: 20 ex_fr_female$Type: Observed Year: 1903 Ex: 44.200000","Age: 20 ex_fr_female$Type: Observed Year: 1904 Ex: 44.220000","Age: 20 ex_fr_female$Type: Observed Year: 1905 Ex: 43.870000","Age: 20 ex_fr_female$Type: Observed Year: 1906 Ex: 43.900000","Age: 20 ex_fr_female$Type: Observed Year: 1907 Ex: 43.420000","Age: 20 ex_fr_female$Type: Observed Year: 1908 Ex: 44.400000","Age: 20 ex_fr_female$Type: Observed Year: 1909 Ex: 44.140000","Age: 20 ex_fr_female$Type: Observed Year: 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Observed Year: 1926 Ex: 46.370000","Age: 20 ex_fr_female$Type: Observed Year: 1927 Ex: 47.000000","Age: 20 ex_fr_female$Type: Observed Year: 1928 Ex: 47.300000","Age: 20 ex_fr_female$Type: Observed Year: 1929 Ex: 46.290000","Age: 20 ex_fr_female$Type: Observed Year: 1930 Ex: 47.900000","Age: 20 ex_fr_female$Type: Observed Year: 1931 Ex: 47.410000","Age: 20 ex_fr_female$Type: Observed Year: 1932 Ex: 47.940000","Age: 20 ex_fr_female$Type: Observed Year: 1933 Ex: 48.020000","Age: 20 ex_fr_female$Type: Observed Year: 1934 Ex: 48.750000","Age: 20 ex_fr_female$Type: Observed Year: 1935 Ex: 48.240000","Age: 20 ex_fr_female$Type: Observed Year: 1936 Ex: 48.790000","Age: 20 ex_fr_female$Type: Observed Year: 1937 Ex: 49.100000","Age: 20 ex_fr_female$Type: Observed Year: 1938 Ex: 48.880000","Age: 20 ex_fr_female$Type: Observed Year: 1939 Ex: 49.110000","Age: 20 ex_fr_female$Type: Observed Year: 1940 Ex: 47.310000","Age: 20 ex_fr_female$Type: Observed Year: 1941 Ex: 48.660000","Age: 20 ex_fr_female$Type: Observed Year: 1942 Ex: 48.760000","Age: 20 ex_fr_female$Type: Observed Year: 1943 Ex: 45.990000","Age: 20 ex_fr_female$Type: Observed Year: 1944 Ex: 41.720000","Age: 20 ex_fr_female$Type: Observed Year: 1945 Ex: 48.430000","Age: 20 ex_fr_female$Type: Observed Year: 1946 Ex: 52.190000","Age: 20 ex_fr_female$Type: Observed Year: 1947 Ex: 52.830000","Age: 20 ex_fr_female$Type: Observed Year: 1948 Ex: 53.610000","Age: 20 ex_fr_female$Type: Observed Year: 1949 Ex: 52.690000","Age: 20 ex_fr_female$Type: Observed Year: 1950 Ex: 53.600000","Age: 20 ex_fr_female$Type: Observed Year: 1951 Ex: 53.180000","Age: 20 ex_fr_female$Type: Observed Year: 1952 Ex: 54.200000","Age: 20 ex_fr_female$Type: Observed Year: 1953 Ex: 53.740000","Age: 20 ex_fr_female$Type: Observed Year: 1954 Ex: 54.710000","Age: 20 ex_fr_female$Type: Observed Year: 1955 Ex: 54.850000","Age: 20 ex_fr_female$Type: Observed Year: 1956 Ex: 54.730000","Age: 20 ex_fr_female$Type: Observed Year: 1957 Ex: 55.210000","Age: 20 ex_fr_female$Type: Observed Year: 1958 Ex: 56.000000","Age: 20 ex_fr_female$Type: Observed Year: 1959 Ex: 56.020000","Age: 20 ex_fr_female$Type: Observed Year: 1960 Ex: 56.020000","Age: 20 ex_fr_female$Type: Observed Year: 1961 Ex: 56.700000","Age: 20 ex_fr_female$Type: Observed Year: 1962 Ex: 56.190000","Age: 20 ex_fr_female$Type: Observed Year: 1963 Ex: 56.110000","Age: 20 ex_fr_female$Type: Observed Year: 1964 Ex: 56.960000","Age: 20 ex_fr_female$Type: Observed Year: 1965 Ex: 56.730000","Age: 20 ex_fr_female$Type: Observed Year: 1966 Ex: 57.150000","Age: 20 ex_fr_female$Type: Observed Year: 1967 Ex: 57.130000","Age: 20 ex_fr_female$Type: Observed Year: 1968 Ex: 57.170000","Age: 20 ex_fr_female$Type: Observed Year: 1969 Ex: 56.950000","Age: 20 ex_fr_female$Type: Observed Year: 1970 Ex: 57.600000","Age: 20 ex_fr_female$Type: Observed Year: 1971 Ex: 57.620000","Age: 20 ex_fr_female$Type: Observed Year: 1972 Ex: 57.850000","Age: 20 ex_fr_female$Type: Observed Year: 1973 Ex: 57.920000","Age: 20 ex_fr_female$Type: Observed Year: 1974 Ex: 58.260000","Age: 20 ex_fr_female$Type: Observed Year: 1975 Ex: 58.300000","Age: 20 ex_fr_female$Type: Observed Year: 1976 Ex: 58.560000","Age: 20 ex_fr_female$Type: Observed Year: 1977 Ex: 59.140000","Age: 20 ex_fr_female$Type: Observed Year: 1978 Ex: 59.180000","Age: 20 ex_fr_female$Type: Observed Year: 1979 Ex: 59.470000","Age: 20 ex_fr_female$Type: Observed Year: 1980 Ex: 59.590000","Age: 20 ex_fr_female$Type: Observed Year: 1981 Ex: 59.640000","Age: 20 ex_fr_female$Type: Observed Year: 1982 Ex: 59.990000","Age: 20 ex_fr_female$Type: Observed Year: 1983 Ex: 59.880000","Age: 20 ex_fr_female$Type: Observed Year: 1984 Ex: 60.360000","Age: 20 ex_fr_female$Type: Observed Year: 1985 Ex: 60.420000","Age: 20 ex_fr_female$Type: Observed Year: 1986 Ex: 60.670000","Age: 20 ex_fr_female$Type: Observed Year: 1987 Ex: 61.190000","Age: 20 ex_fr_female$Type: Observed Year: 1988 Ex: 61.390000","Age: 20 ex_fr_female$Type: Observed Year: 1989 Ex: 61.540000","Age: 20 ex_fr_female$Type: Observed Year: 1990 Ex: 61.800000","Age: 20 ex_fr_female$Type: Observed Year: 1991 Ex: 62.010000","Age: 20 ex_fr_female$Type: Observed Year: 1992 Ex: 62.230000","Age: 20 ex_fr_female$Type: Observed Year: 1993 Ex: 62.210000","Age: 20 ex_fr_female$Type: Observed Year: 1994 Ex: 62.590000","Age: 20 ex_fr_female$Type: Observed Year: 1995 Ex: 62.560000","Age: 20 ex_fr_female$Type: Observed Year: 1996 Ex: 62.660000","Age: 20 ex_fr_female$Type: Observed Year: 1997 Ex: 62.920000","Age: 20 ex_fr_female$Type: Observed Year: 1998 Ex: 63.010000","Age: 20 ex_fr_female$Type: Observed Year: 1999 Ex: 63.090000","Age: 20 ex_fr_female$Type: Observed Year: 2000 Ex: 63.380000","Age: 20 ex_fr_female$Type: Observed Year: 2001 Ex: 63.530000","Age: 20 ex_fr_female$Type: Observed Year: 2002 Ex: 63.580000","Age: 20 ex_fr_female$Type: Observed Year: 2003 Ex: 63.460000","Age: 20 ex_fr_female$Type: Observed Year: 2004 Ex: 64.360000","Age: 20 ex_fr_female$Type: Observed Year: 2005 Ex: 64.280000","Age: 20 ex_fr_female$Type: Observed Year: 2006 Ex: 64.640000","Age: 20 ex_fr_female$Type: Observed Year: 2007 Ex: 64.820000","Age: 20 ex_fr_female$Type: Observed Year: 2008 Ex: 64.790000","Age: 20 ex_fr_female$Type: Observed Year: 2009 Ex: 64.880000","Age: 20 ex_fr_female$Type: Observed Year: 2010 Ex: 65.100000","Age: 20 ex_fr_female$Type: Observed Year: 2011 Ex: 65.420000","Age: 20 ex_fr_female$Type: Observed Year: 2012 Ex: 65.270000","Age: 20 ex_fr_female$Type: Observed Year: 2013 Ex: 65.480000","Age: 20 ex_fr_female$Type: Observed Year: 2014 Ex: 65.850000","Age: 20 ex_fr_female$Type: Observed Year: 2015 Ex: 65.580000","Age: 20 ex_fr_female$Type: Observed Year: 2016 Ex: 65.750000","Age: 20 ex_fr_female$Type: Observed Year: 2017 Ex: 65.720000"],"frame":"20","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[40.6714224980547,40.4555195590576,40.0983773710234,40.07809831825,40.3602561047381,41.3960401256257,41.2358335406621,41.9107238993105,41.8290137041463,41.1328966501765,40.3848182684027,40.717126988548,40.4350215022349,40.4988486633308,40.5363475076588,41.0282283786809,37.0625239202564,40.2905365141872,39.2137390896705,40.3740439066842,41.5895366228769,39.2893554080292,40.6163032026753,41.284315819639,40.4471204854152,41.4006738754876,40.6613079725502,41.2285287661288,41.5957988617168,42.12860721394,41.1603241782842,39.9291793171274,40.2790760326495,37.4583860517989,41.7829072703827,41.6130130242599,41.3389648699878,41.1724468537374,37.2267821162714,39.4047829189275,41.1701056084514,40.7537084594562,40.2150296920351,39.9619292211312,42.1149257236514,41.7440562831787,42.2366403278928,41.9831445677632,41.5160881622133,40.798403947913,40.8112357382121,41.9208135450478,41.3607018942453,41.4259151025845,38.7047545181939,34.8729362440667,42.2669173045261,41.6775351727365,42.5973542612576,41.5768401437334,42.0773435269416,42.6077310314145,42.2485213534031,42.037578759719,42.1326665845718,42.562163279037,42.3783190943733,42.3293644988359,42.3628492420997,42.5516185458963,42.3160391643766,42.4840378774435,43.141499188106,43.7000019726265,42.6298904210559,42.4095071402994,42.6643353651399,42.6645397920834,43.436750741334,43.0176329318302,44.0739301466933,44.746500370739,43.9071207387618,43.6529549831149,42.7698184419167,43.8674725510476,44.2482247898025,44.4491671592062,44.4633150199589,44.1118864281366,44.1387246632764,43.6676731981244,44.6434487799096,44.3838414934268,45.4403559876697,44.802742173037,45.6722520684814,45.758924398235,45.0560725058346,45.0553985891298,45.6921341496475,45.63543174362,39.2058630555312,44.1751363319588,46.2182291702581,46.4725379460683,46.1619518297191,47.0418588580202,46.7280148459552,46.6027013297867,46.6093337911146,47.2457375775479,47.5378600272786,46.5359199518394,48.1435662010153,47.6568163126357,48.1794823776074,48.2626811379553,48.9942503805217,48.4865720877761,49.0391021251897,49.3419438224384,49.1241871766076,49.3532696759818,47.5510728562367,48.8997276414506,48.9969064457712,46.2325630719418,41.9722385944804,48.6743724562341,52.4355532896225,53.0827892060658,53.8598727299839,52.9374122676011,53.8467743272826,53.4232418788834,54.4511776603919,53.9963942748596,54.9614231028883,55.1000922879682,54.9810718184068,55.45672519081,56.2553293561738,56.2760005441553,56.2785814586668,56.9580753042085,56.4472840976866,56.3648552306234,57.2180500753603,56.9812696359239,57.4055292206668,57.3849163558399,57.4246725964291,57.2003561436403,57.8579800407677,57.8757921385713,58.0982513440683,58.1758247743699,58.5106954851641,58.5525410807124,58.8163142894341,59.3937225676658,59.4328109164654,59.7196793753355,59.8408964021215,59.8978690761047,60.2432758717117,60.1338500837128,60.6169759117766,60.672917819106,60.9235355530459,61.4382714162219,61.6381610992191,61.7947246080761,62.0542285916646,62.2670716859875,62.4831087566756,62.4648766349324,62.8428569738997,62.8106810428153,62.9065113763964,63.1721523731932,63.2596432736989,63.3389089933113,63.6273639188483,63.7766372389728,63.83249155253,63.7130331555523,64.6096639164295,64.5349641771303,64.8945899793413,65.0708106322197,65.0382602310376,65.1346264402564,65.3469290542149,65.6677739788296,65.5203559938618,65.7338630690852,66.1029690293098,65.8283396475279,66.0007701895149,65.9713632708213],"text":["Age: 20 ex_fr_female$Type: Predicted Year: 1816 Ex: 40.671422","Age: 20 ex_fr_female$Type: Predicted Year: 1817 Ex: 40.455520","Age: 20 ex_fr_female$Type: Predicted Year: 1818 Ex: 40.098377","Age: 20 ex_fr_female$Type: Predicted Year: 1819 Ex: 40.078098","Age: 20 ex_fr_female$Type: Predicted Year: 1820 Ex: 40.360256","Age: 20 ex_fr_female$Type: Predicted Year: 1821 Ex: 41.396040","Age: 20 ex_fr_female$Type: Predicted Year: 1822 Ex: 41.235834","Age: 20 ex_fr_female$Type: Predicted Year: 1823 Ex: 41.910724","Age: 20 ex_fr_female$Type: Predicted Year: 1824 Ex: 41.829014","Age: 20 ex_fr_female$Type: Predicted Year: 1825 Ex: 41.132897","Age: 20 ex_fr_female$Type: Predicted Year: 1826 Ex: 40.384818","Age: 20 ex_fr_female$Type: Predicted Year: 1827 Ex: 40.717127","Age: 20 ex_fr_female$Type: Predicted Year: 1828 Ex: 40.435022","Age: 20 ex_fr_female$Type: Predicted Year: 1829 Ex: 40.498849","Age: 20 ex_fr_female$Type: Predicted Year: 1830 Ex: 40.536348","Age: 20 ex_fr_female$Type: Predicted Year: 1831 Ex: 41.028228","Age: 20 ex_fr_female$Type: Predicted Year: 1832 Ex: 37.062524","Age: 20 ex_fr_female$Type: Predicted Year: 1833 Ex: 40.290537","Age: 20 ex_fr_female$Type: Predicted Year: 1834 Ex: 39.213739","Age: 20 ex_fr_female$Type: Predicted Year: 1835 Ex: 40.374044","Age: 20 ex_fr_female$Type: Predicted Year: 1836 Ex: 41.589537","Age: 20 ex_fr_female$Type: Predicted Year: 1837 Ex: 39.289355","Age: 20 ex_fr_female$Type: Predicted Year: 1838 Ex: 40.616303","Age: 20 ex_fr_female$Type: Predicted Year: 1839 Ex: 41.284316","Age: 20 ex_fr_female$Type: Predicted Year: 1840 Ex: 40.447120","Age: 20 ex_fr_female$Type: Predicted Year: 1841 Ex: 41.400674","Age: 20 ex_fr_female$Type: Predicted Year: 1842 Ex: 40.661308","Age: 20 ex_fr_female$Type: Predicted Year: 1843 Ex: 41.228529","Age: 20 ex_fr_female$Type: Predicted Year: 1844 Ex: 41.595799","Age: 20 ex_fr_female$Type: Predicted Year: 1845 Ex: 42.128607","Age: 20 ex_fr_female$Type: Predicted Year: 1846 Ex: 41.160324","Age: 20 ex_fr_female$Type: Predicted Year: 1847 Ex: 39.929179","Age: 20 ex_fr_female$Type: Predicted Year: 1848 Ex: 40.279076","Age: 20 ex_fr_female$Type: Predicted Year: 1849 Ex: 37.458386","Age: 20 ex_fr_female$Type: Predicted Year: 1850 Ex: 41.782907","Age: 20 ex_fr_female$Type: Predicted Year: 1851 Ex: 41.613013","Age: 20 ex_fr_female$Type: Predicted Year: 1852 Ex: 41.338965","Age: 20 ex_fr_female$Type: Predicted Year: 1853 Ex: 41.172447","Age: 20 ex_fr_female$Type: Predicted Year: 1854 Ex: 37.226782","Age: 20 ex_fr_female$Type: Predicted Year: 1855 Ex: 39.404783","Age: 20 ex_fr_female$Type: Predicted Year: 1856 Ex: 41.170106","Age: 20 ex_fr_female$Type: Predicted Year: 1857 Ex: 40.753708","Age: 20 ex_fr_female$Type: Predicted Year: 1858 Ex: 40.215030","Age: 20 ex_fr_female$Type: Predicted Year: 1859 Ex: 39.961929","Age: 20 ex_fr_female$Type: Predicted Year: 1860 Ex: 42.114926","Age: 20 ex_fr_female$Type: Predicted Year: 1861 Ex: 41.744056","Age: 20 ex_fr_female$Type: Predicted Year: 1862 Ex: 42.236640","Age: 20 ex_fr_female$Type: Predicted Year: 1863 Ex: 41.983145","Age: 20 ex_fr_female$Type: Predicted Year: 1864 Ex: 41.516088","Age: 20 ex_fr_female$Type: Predicted Year: 1865 Ex: 40.798404","Age: 20 ex_fr_female$Type: Predicted Year: 1866 Ex: 40.811236","Age: 20 ex_fr_female$Type: Predicted Year: 1867 Ex: 41.920814","Age: 20 ex_fr_female$Type: Predicted Year: 1868 Ex: 41.360702","Age: 20 ex_fr_female$Type: Predicted Year: 1869 Ex: 41.425915","Age: 20 ex_fr_female$Type: Predicted Year: 1870 Ex: 38.704755","Age: 20 ex_fr_female$Type: Predicted Year: 1871 Ex: 34.872936","Age: 20 ex_fr_female$Type: Predicted Year: 1872 Ex: 42.266917","Age: 20 ex_fr_female$Type: Predicted Year: 1873 Ex: 41.677535","Age: 20 ex_fr_female$Type: Predicted Year: 1874 Ex: 42.597354","Age: 20 ex_fr_female$Type: Predicted Year: 1875 Ex: 41.576840","Age: 20 ex_fr_female$Type: Predicted Year: 1876 Ex: 42.077344","Age: 20 ex_fr_female$Type: Predicted Year: 1877 Ex: 42.607731","Age: 20 ex_fr_female$Type: Predicted Year: 1878 Ex: 42.248521","Age: 20 ex_fr_female$Type: Predicted Year: 1879 Ex: 42.037579","Age: 20 ex_fr_female$Type: Predicted Year: 1880 Ex: 42.132667","Age: 20 ex_fr_female$Type: Predicted Year: 1881 Ex: 42.562163","Age: 20 ex_fr_female$Type: Predicted Year: 1882 Ex: 42.378319","Age: 20 ex_fr_female$Type: Predicted Year: 1883 Ex: 42.329364","Age: 20 ex_fr_female$Type: Predicted Year: 1884 Ex: 42.362849","Age: 20 ex_fr_female$Type: Predicted Year: 1885 Ex: 42.551619","Age: 20 ex_fr_female$Type: Predicted Year: 1886 Ex: 42.316039","Age: 20 ex_fr_female$Type: Predicted Year: 1887 Ex: 42.484038","Age: 20 ex_fr_female$Type: Predicted Year: 1888 Ex: 43.141499","Age: 20 ex_fr_female$Type: Predicted Year: 1889 Ex: 43.700002","Age: 20 ex_fr_female$Type: Predicted Year: 1890 Ex: 42.629890","Age: 20 ex_fr_female$Type: Predicted Year: 1891 Ex: 42.409507","Age: 20 ex_fr_female$Type: Predicted Year: 1892 Ex: 42.664335","Age: 20 ex_fr_female$Type: Predicted Year: 1893 Ex: 42.664540","Age: 20 ex_fr_female$Type: Predicted Year: 1894 Ex: 43.436751","Age: 20 ex_fr_female$Type: Predicted Year: 1895 Ex: 43.017633","Age: 20 ex_fr_female$Type: Predicted Year: 1896 Ex: 44.073930","Age: 20 ex_fr_female$Type: Predicted Year: 1897 Ex: 44.746500","Age: 20 ex_fr_female$Type: Predicted Year: 1898 Ex: 43.907121","Age: 20 ex_fr_female$Type: Predicted Year: 1899 Ex: 43.652955","Age: 20 ex_fr_female$Type: Predicted Year: 1900 Ex: 42.769818","Age: 20 ex_fr_female$Type: Predicted Year: 1901 Ex: 43.867473","Age: 20 ex_fr_female$Type: Predicted Year: 1902 Ex: 44.248225","Age: 20 ex_fr_female$Type: Predicted Year: 1903 Ex: 44.449167","Age: 20 ex_fr_female$Type: Predicted Year: 1904 Ex: 44.463315","Age: 20 ex_fr_female$Type: Predicted Year: 1905 Ex: 44.111886","Age: 20 ex_fr_female$Type: Predicted Year: 1906 Ex: 44.138725","Age: 20 ex_fr_female$Type: Predicted Year: 1907 Ex: 43.667673","Age: 20 ex_fr_female$Type: Predicted Year: 1908 Ex: 44.643449","Age: 20 ex_fr_female$Type: Predicted Year: 1909 Ex: 44.383841","Age: 20 ex_fr_female$Type: Predicted Year: 1910 Ex: 45.440356","Age: 20 ex_fr_female$Type: Predicted Year: 1911 Ex: 44.802742","Age: 20 ex_fr_female$Type: Predicted Year: 1912 Ex: 45.672252","Age: 20 ex_fr_female$Type: Predicted Year: 1913 Ex: 45.758924","Age: 20 ex_fr_female$Type: Predicted Year: 1914 Ex: 45.056073","Age: 20 ex_fr_female$Type: Predicted Year: 1915 Ex: 45.055399","Age: 20 ex_fr_female$Type: Predicted Year: 1916 Ex: 45.692134","Age: 20 ex_fr_female$Type: Predicted Year: 1917 Ex: 45.635432","Age: 20 ex_fr_female$Type: Predicted Year: 1918 Ex: 39.205863","Age: 20 ex_fr_female$Type: Predicted Year: 1919 Ex: 44.175136","Age: 20 ex_fr_female$Type: Predicted Year: 1920 Ex: 46.218229","Age: 20 ex_fr_female$Type: Predicted Year: 1921 Ex: 46.472538","Age: 20 ex_fr_female$Type: Predicted Year: 1922 Ex: 46.161952","Age: 20 ex_fr_female$Type: Predicted Year: 1923 Ex: 47.041859","Age: 20 ex_fr_female$Type: Predicted Year: 1924 Ex: 46.728015","Age: 20 ex_fr_female$Type: Predicted Year: 1925 Ex: 46.602701","Age: 20 ex_fr_female$Type: Predicted Year: 1926 Ex: 46.609334","Age: 20 ex_fr_female$Type: Predicted Year: 1927 Ex: 47.245738","Age: 20 ex_fr_female$Type: Predicted Year: 1928 Ex: 47.537860","Age: 20 ex_fr_female$Type: Predicted Year: 1929 Ex: 46.535920","Age: 20 ex_fr_female$Type: Predicted Year: 1930 Ex: 48.143566","Age: 20 ex_fr_female$Type: Predicted Year: 1931 Ex: 47.656816","Age: 20 ex_fr_female$Type: Predicted Year: 1932 Ex: 48.179482","Age: 20 ex_fr_female$Type: Predicted Year: 1933 Ex: 48.262681","Age: 20 ex_fr_female$Type: Predicted Year: 1934 Ex: 48.994250","Age: 20 ex_fr_female$Type: Predicted Year: 1935 Ex: 48.486572","Age: 20 ex_fr_female$Type: Predicted Year: 1936 Ex: 49.039102","Age: 20 ex_fr_female$Type: Predicted Year: 1937 Ex: 49.341944","Age: 20 ex_fr_female$Type: Predicted Year: 1938 Ex: 49.124187","Age: 20 ex_fr_female$Type: Predicted Year: 1939 Ex: 49.353270","Age: 20 ex_fr_female$Type: Predicted Year: 1940 Ex: 47.551073","Age: 20 ex_fr_female$Type: Predicted Year: 1941 Ex: 48.899728","Age: 20 ex_fr_female$Type: Predicted Year: 1942 Ex: 48.996906","Age: 20 ex_fr_female$Type: Predicted Year: 1943 Ex: 46.232563","Age: 20 ex_fr_female$Type: Predicted Year: 1944 Ex: 41.972239","Age: 20 ex_fr_female$Type: Predicted Year: 1945 Ex: 48.674372","Age: 20 ex_fr_female$Type: Predicted Year: 1946 Ex: 52.435553","Age: 20 ex_fr_female$Type: Predicted Year: 1947 Ex: 53.082789","Age: 20 ex_fr_female$Type: Predicted Year: 1948 Ex: 53.859873","Age: 20 ex_fr_female$Type: Predicted Year: 1949 Ex: 52.937412","Age: 20 ex_fr_female$Type: Predicted Year: 1950 Ex: 53.846774","Age: 20 ex_fr_female$Type: Predicted Year: 1951 Ex: 53.423242","Age: 20 ex_fr_female$Type: Predicted Year: 1952 Ex: 54.451178","Age: 20 ex_fr_female$Type: Predicted Year: 1953 Ex: 53.996394","Age: 20 ex_fr_female$Type: Predicted Year: 1954 Ex: 54.961423","Age: 20 ex_fr_female$Type: Predicted Year: 1955 Ex: 55.100092","Age: 20 ex_fr_female$Type: Predicted Year: 1956 Ex: 54.981072","Age: 20 ex_fr_female$Type: Predicted Year: 1957 Ex: 55.456725","Age: 20 ex_fr_female$Type: Predicted Year: 1958 Ex: 56.255329","Age: 20 ex_fr_female$Type: Predicted Year: 1959 Ex: 56.276001","Age: 20 ex_fr_female$Type: Predicted Year: 1960 Ex: 56.278581","Age: 20 ex_fr_female$Type: Predicted Year: 1961 Ex: 56.958075","Age: 20 ex_fr_female$Type: Predicted Year: 1962 Ex: 56.447284","Age: 20 ex_fr_female$Type: Predicted Year: 1963 Ex: 56.364855","Age: 20 ex_fr_female$Type: Predicted Year: 1964 Ex: 57.218050","Age: 20 ex_fr_female$Type: Predicted Year: 1965 Ex: 56.981270","Age: 20 ex_fr_female$Type: Predicted Year: 1966 Ex: 57.405529","Age: 20 ex_fr_female$Type: Predicted Year: 1967 Ex: 57.384916","Age: 20 ex_fr_female$Type: Predicted Year: 1968 Ex: 57.424673","Age: 20 ex_fr_female$Type: Predicted Year: 1969 Ex: 57.200356","Age: 20 ex_fr_female$Type: Predicted Year: 1970 Ex: 57.857980","Age: 20 ex_fr_female$Type: Predicted Year: 1971 Ex: 57.875792","Age: 20 ex_fr_female$Type: Predicted Year: 1972 Ex: 58.098251","Age: 20 ex_fr_female$Type: Predicted Year: 1973 Ex: 58.175825","Age: 20 ex_fr_female$Type: Predicted Year: 1974 Ex: 58.510695","Age: 20 ex_fr_female$Type: Predicted Year: 1975 Ex: 58.552541","Age: 20 ex_fr_female$Type: Predicted Year: 1976 Ex: 58.816314","Age: 20 ex_fr_female$Type: Predicted Year: 1977 Ex: 59.393723","Age: 20 ex_fr_female$Type: Predicted Year: 1978 Ex: 59.432811","Age: 20 ex_fr_female$Type: Predicted Year: 1979 Ex: 59.719679","Age: 20 ex_fr_female$Type: Predicted Year: 1980 Ex: 59.840896","Age: 20 ex_fr_female$Type: Predicted Year: 1981 Ex: 59.897869","Age: 20 ex_fr_female$Type: Predicted Year: 1982 Ex: 60.243276","Age: 20 ex_fr_female$Type: Predicted Year: 1983 Ex: 60.133850","Age: 20 ex_fr_female$Type: Predicted Year: 1984 Ex: 60.616976","Age: 20 ex_fr_female$Type: Predicted Year: 1985 Ex: 60.672918","Age: 20 ex_fr_female$Type: Predicted Year: 1986 Ex: 60.923536","Age: 20 ex_fr_female$Type: Predicted Year: 1987 Ex: 61.438271","Age: 20 ex_fr_female$Type: Predicted Year: 1988 Ex: 61.638161","Age: 20 ex_fr_female$Type: Predicted Year: 1989 Ex: 61.794725","Age: 20 ex_fr_female$Type: Predicted Year: 1990 Ex: 62.054229","Age: 20 ex_fr_female$Type: Predicted Year: 1991 Ex: 62.267072","Age: 20 ex_fr_female$Type: Predicted Year: 1992 Ex: 62.483109","Age: 20 ex_fr_female$Type: Predicted Year: 1993 Ex: 62.464877","Age: 20 ex_fr_female$Type: Predicted Year: 1994 Ex: 62.842857","Age: 20 ex_fr_female$Type: Predicted Year: 1995 Ex: 62.810681","Age: 20 ex_fr_female$Type: Predicted Year: 1996 Ex: 62.906511","Age: 20 ex_fr_female$Type: Predicted Year: 1997 Ex: 63.172152","Age: 20 ex_fr_female$Type: Predicted Year: 1998 Ex: 63.259643","Age: 20 ex_fr_female$Type: Predicted Year: 1999 Ex: 63.338909","Age: 20 ex_fr_female$Type: Predicted Year: 2000 Ex: 63.627364","Age: 20 ex_fr_female$Type: Predicted Year: 2001 Ex: 63.776637","Age: 20 ex_fr_female$Type: Predicted Year: 2002 Ex: 63.832492","Age: 20 ex_fr_female$Type: Predicted Year: 2003 Ex: 63.713033","Age: 20 ex_fr_female$Type: Predicted Year: 2004 Ex: 64.609664","Age: 20 ex_fr_female$Type: Predicted Year: 2005 Ex: 64.534964","Age: 20 ex_fr_female$Type: Predicted Year: 2006 Ex: 64.894590","Age: 20 ex_fr_female$Type: Predicted Year: 2007 Ex: 65.070811","Age: 20 ex_fr_female$Type: Predicted Year: 2008 Ex: 65.038260","Age: 20 ex_fr_female$Type: Predicted Year: 2009 Ex: 65.134626","Age: 20 ex_fr_female$Type: Predicted Year: 2010 Ex: 65.346929","Age: 20 ex_fr_female$Type: Predicted Year: 2011 Ex: 65.667774","Age: 20 ex_fr_female$Type: Predicted Year: 2012 Ex: 65.520356","Age: 20 ex_fr_female$Type: Predicted Year: 2013 Ex: 65.733863","Age: 20 ex_fr_female$Type: Predicted Year: 2014 Ex: 66.102969","Age: 20 ex_fr_female$Type: Predicted Year: 2015 Ex: 65.828340","Age: 20 ex_fr_female$Type: Predicted Year: 2016 Ex: 66.000770","Age: 20 ex_fr_female$Type: Predicted Year: 2017 Ex: 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40.120000","Age: 21 ex_fr_female$Type: Observed Year: 1832 Ex: 36.170000","Age: 21 ex_fr_female$Type: Observed Year: 1833 Ex: 39.390000","Age: 21 ex_fr_female$Type: Observed Year: 1834 Ex: 38.340000","Age: 21 ex_fr_female$Type: Observed Year: 1835 Ex: 39.470000","Age: 21 ex_fr_female$Type: Observed Year: 1836 Ex: 40.660000","Age: 21 ex_fr_female$Type: Observed Year: 1837 Ex: 38.380000","Age: 21 ex_fr_female$Type: Observed Year: 1838 Ex: 39.710000","Age: 21 ex_fr_female$Type: Observed Year: 1839 Ex: 40.380000","Age: 21 ex_fr_female$Type: Observed Year: 1840 Ex: 39.550000","Age: 21 ex_fr_female$Type: Observed Year: 1841 Ex: 40.500000","Age: 21 ex_fr_female$Type: Observed Year: 1842 Ex: 39.770000","Age: 21 ex_fr_female$Type: Observed Year: 1843 Ex: 40.340000","Age: 21 ex_fr_female$Type: Observed Year: 1844 Ex: 40.690000","Age: 21 ex_fr_female$Type: Observed Year: 1845 Ex: 41.210000","Age: 21 ex_fr_female$Type: Observed Year: 1846 Ex: 40.290000","Age: 21 ex_fr_female$Type: Observed Year: 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42.490000","Age: 21 ex_fr_female$Type: Observed Year: 1895 Ex: 42.060000","Age: 21 ex_fr_female$Type: Observed Year: 1896 Ex: 43.120000","Age: 21 ex_fr_female$Type: Observed Year: 1897 Ex: 43.790000","Age: 21 ex_fr_female$Type: Observed Year: 1898 Ex: 42.940000","Age: 21 ex_fr_female$Type: Observed Year: 1899 Ex: 42.700000","Age: 21 ex_fr_female$Type: Observed Year: 1900 Ex: 41.800000","Age: 21 ex_fr_female$Type: Observed Year: 1901 Ex: 42.910000","Age: 21 ex_fr_female$Type: Observed Year: 1902 Ex: 43.280000","Age: 21 ex_fr_female$Type: Observed Year: 1903 Ex: 43.480000","Age: 21 ex_fr_female$Type: Observed Year: 1904 Ex: 43.500000","Age: 21 ex_fr_female$Type: Observed Year: 1905 Ex: 43.130000","Age: 21 ex_fr_female$Type: Observed Year: 1906 Ex: 43.160000","Age: 21 ex_fr_female$Type: Observed Year: 1907 Ex: 42.690000","Age: 21 ex_fr_female$Type: Observed Year: 1908 Ex: 43.660000","Age: 21 ex_fr_female$Type: Observed Year: 1909 Ex: 43.380000","Age: 21 ex_fr_female$Type: Observed Year: 1910 Ex: 44.440000","Age: 21 ex_fr_female$Type: Observed Year: 1911 Ex: 43.810000","Age: 21 ex_fr_female$Type: Observed Year: 1912 Ex: 44.670000","Age: 21 ex_fr_female$Type: Observed Year: 1913 Ex: 44.760000","Age: 21 ex_fr_female$Type: Observed Year: 1914 Ex: 44.050000","Age: 21 ex_fr_female$Type: Observed Year: 1915 Ex: 44.050000","Age: 21 ex_fr_female$Type: Observed Year: 1916 Ex: 44.680000","Age: 21 ex_fr_female$Type: Observed Year: 1917 Ex: 44.630000","Age: 21 ex_fr_female$Type: Observed Year: 1918 Ex: 38.400000","Age: 21 ex_fr_female$Type: Observed Year: 1919 Ex: 43.230000","Age: 21 ex_fr_female$Type: Observed Year: 1920 Ex: 45.230000","Age: 21 ex_fr_female$Type: Observed Year: 1921 Ex: 45.470000","Age: 21 ex_fr_female$Type: Observed Year: 1922 Ex: 45.170000","Age: 21 ex_fr_female$Type: Observed Year: 1923 Ex: 46.050000","Age: 21 ex_fr_female$Type: Observed Year: 1924 Ex: 45.730000","Age: 21 ex_fr_female$Type: Observed Year: 1925 Ex: 45.620000","Age: 21 ex_fr_female$Type: Observed Year: 1926 Ex: 45.630000","Age: 21 ex_fr_female$Type: Observed Year: 1927 Ex: 46.250000","Age: 21 ex_fr_female$Type: Observed Year: 1928 Ex: 46.550000","Age: 21 ex_fr_female$Type: Observed Year: 1929 Ex: 45.540000","Age: 21 ex_fr_female$Type: Observed Year: 1930 Ex: 47.120000","Age: 21 ex_fr_female$Type: Observed Year: 1931 Ex: 46.630000","Age: 21 ex_fr_female$Type: Observed Year: 1932 Ex: 47.150000","Age: 21 ex_fr_female$Type: Observed Year: 1933 Ex: 47.210000","Age: 21 ex_fr_female$Type: Observed Year: 1934 Ex: 47.940000","Age: 21 ex_fr_female$Type: Observed Year: 1935 Ex: 47.430000","Age: 21 ex_fr_female$Type: Observed Year: 1936 Ex: 47.980000","Age: 21 ex_fr_female$Type: Observed Year: 1937 Ex: 48.290000","Age: 21 ex_fr_female$Type: Observed Year: 1938 Ex: 48.070000","Age: 21 ex_fr_female$Type: Observed Year: 1939 Ex: 48.280000","Age: 21 ex_fr_female$Type: Observed Year: 1940 Ex: 46.490000","Age: 21 ex_fr_female$Type: Observed Year: 1941 Ex: 47.810000","Age: 21 ex_fr_female$Type: Observed Year: 1942 Ex: 47.950000","Age: 21 ex_fr_female$Type: Observed Year: 1943 Ex: 45.370000","Age: 21 ex_fr_female$Type: Observed Year: 1944 Ex: 41.170000","Age: 21 ex_fr_female$Type: Observed Year: 1945 Ex: 47.610000","Age: 21 ex_fr_female$Type: Observed Year: 1946 Ex: 51.300000","Age: 21 ex_fr_female$Type: Observed Year: 1947 Ex: 51.940000","Age: 21 ex_fr_female$Type: Observed Year: 1948 Ex: 52.700000","Age: 21 ex_fr_female$Type: Observed Year: 1949 Ex: 51.760000","Age: 21 ex_fr_female$Type: Observed Year: 1950 Ex: 52.660000","Age: 21 ex_fr_female$Type: Observed Year: 1951 Ex: 52.230000","Age: 21 ex_fr_female$Type: Observed Year: 1952 Ex: 53.250000","Age: 21 ex_fr_female$Type: Observed Year: 1953 Ex: 52.790000","Age: 21 ex_fr_female$Type: Observed Year: 1954 Ex: 53.750000","Age: 21 ex_fr_female$Type: Observed Year: 1955 Ex: 53.890000","Age: 21 ex_fr_female$Type: Observed Year: 1956 Ex: 53.760000","Age: 21 ex_fr_female$Type: Observed Year: 1957 Ex: 54.240000","Age: 21 ex_fr_female$Type: Observed Year: 1958 Ex: 55.030000","Age: 21 ex_fr_female$Type: Observed Year: 1959 Ex: 55.060000","Age: 21 ex_fr_female$Type: Observed Year: 1960 Ex: 55.060000","Age: 21 ex_fr_female$Type: Observed Year: 1961 Ex: 55.740000","Age: 21 ex_fr_female$Type: Observed Year: 1962 Ex: 55.230000","Age: 21 ex_fr_female$Type: Observed Year: 1963 Ex: 55.150000","Age: 21 ex_fr_female$Type: Observed Year: 1964 Ex: 56.000000","Age: 21 ex_fr_female$Type: Observed Year: 1965 Ex: 55.760000","Age: 21 ex_fr_female$Type: Observed Year: 1966 Ex: 56.190000","Age: 21 ex_fr_female$Type: Observed Year: 1967 Ex: 56.170000","Age: 21 ex_fr_female$Type: Observed Year: 1968 Ex: 56.210000","Age: 21 ex_fr_female$Type: Observed Year: 1969 Ex: 55.980000","Age: 21 ex_fr_female$Type: Observed Year: 1970 Ex: 56.640000","Age: 21 ex_fr_female$Type: Observed Year: 1971 Ex: 56.660000","Age: 21 ex_fr_female$Type: Observed Year: 1972 Ex: 56.890000","Age: 21 ex_fr_female$Type: Observed Year: 1973 Ex: 56.960000","Age: 21 ex_fr_female$Type: Observed Year: 1974 Ex: 57.290000","Age: 21 ex_fr_female$Type: Observed Year: 1975 Ex: 57.340000","Age: 21 ex_fr_female$Type: Observed Year: 1976 Ex: 57.600000","Age: 21 ex_fr_female$Type: Observed Year: 1977 Ex: 58.180000","Age: 21 ex_fr_female$Type: Observed Year: 1978 Ex: 58.210000","Age: 21 ex_fr_female$Type: Observed Year: 1979 Ex: 58.500000","Age: 21 ex_fr_female$Type: Observed Year: 1980 Ex: 58.620000","Age: 21 ex_fr_female$Type: Observed Year: 1981 Ex: 58.680000","Age: 21 ex_fr_female$Type: Observed Year: 1982 Ex: 59.020000","Age: 21 ex_fr_female$Type: Observed Year: 1983 Ex: 58.920000","Age: 21 ex_fr_female$Type: Observed Year: 1984 Ex: 59.390000","Age: 21 ex_fr_female$Type: Observed Year: 1985 Ex: 59.450000","Age: 21 ex_fr_female$Type: Observed Year: 1986 Ex: 59.700000","Age: 21 ex_fr_female$Type: Observed Year: 1987 Ex: 60.210000","Age: 21 ex_fr_female$Type: Observed Year: 1988 Ex: 60.410000","Age: 21 ex_fr_female$Type: Observed Year: 1989 Ex: 60.570000","Age: 21 ex_fr_female$Type: Observed Year: 1990 Ex: 60.830000","Age: 21 ex_fr_female$Type: Observed Year: 1991 Ex: 61.040000","Age: 21 ex_fr_female$Type: Observed Year: 1992 Ex: 61.250000","Age: 21 ex_fr_female$Type: Observed Year: 1993 Ex: 61.230000","Age: 21 ex_fr_female$Type: Observed Year: 1994 Ex: 61.620000","Age: 21 ex_fr_female$Type: Observed Year: 1995 Ex: 61.590000","Age: 21 ex_fr_female$Type: Observed Year: 1996 Ex: 61.680000","Age: 21 ex_fr_female$Type: Observed Year: 1997 Ex: 61.940000","Age: 21 ex_fr_female$Type: Observed Year: 1998 Ex: 62.030000","Age: 21 ex_fr_female$Type: Observed Year: 1999 Ex: 62.110000","Age: 21 ex_fr_female$Type: Observed Year: 2000 Ex: 62.400000","Age: 21 ex_fr_female$Type: Observed Year: 2001 Ex: 62.550000","Age: 21 ex_fr_female$Type: Observed Year: 2002 Ex: 62.600000","Age: 21 ex_fr_female$Type: Observed Year: 2003 Ex: 62.480000","Age: 21 ex_fr_female$Type: Observed Year: 2004 Ex: 63.380000","Age: 21 ex_fr_female$Type: Observed Year: 2005 Ex: 63.310000","Age: 21 ex_fr_female$Type: Observed Year: 2006 Ex: 63.660000","Age: 21 ex_fr_female$Type: Observed Year: 2007 Ex: 63.830000","Age: 21 ex_fr_female$Type: Observed Year: 2008 Ex: 63.800000","Age: 21 ex_fr_female$Type: Observed Year: 2009 Ex: 63.900000","Age: 21 ex_fr_female$Type: Observed Year: 2010 Ex: 64.110000","Age: 21 ex_fr_female$Type: Observed Year: 2011 Ex: 64.430000","Age: 21 ex_fr_female$Type: Observed Year: 2012 Ex: 64.290000","Age: 21 ex_fr_female$Type: Observed Year: 2013 Ex: 64.500000","Age: 21 ex_fr_female$Type: Observed Year: 2014 Ex: 64.870000","Age: 21 ex_fr_female$Type: Observed Year: 2015 Ex: 64.590000","Age: 21 ex_fr_female$Type: Observed Year: 2016 Ex: 64.760000","Age: 21 ex_fr_female$Type: Observed Year: 2017 Ex: 64.730000"],"frame":"21","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[39.9782946718863,39.7994119405333,39.4551750536481,39.4371094814657,39.6776062288909,40.7381289397831,40.6082240024834,41.2374964051068,41.150143040749,40.4723745784877,39.7433920093958,40.057592430901,39.7855855550753,39.8330292755566,39.8785127380041,40.37827634901,36.4288785616286,39.6462552374821,38.6024308585619,39.7232681874145,40.9187446652164,38.6326016287763,39.962793317713,40.6353415514742,39.8078666526006,40.7576518005499,40.0223674199315,40.5901674031972,40.9412162700433,41.4684291668278,40.546798870304,39.306738465361,39.6379032697172,36.836547262368,41.1124161811023,40.9457247374396,40.6933444462339,40.5426160888674,36.6344963735351,38.8052181242686,40.5583156092354,40.1346928295273,39.5812948215524,39.3649095621502,41.4542164408392,41.098622950298,41.5769233966143,41.3209426413963,40.855458936259,40.1623224129048,40.1691691277195,41.2493356343063,40.7218651894134,40.7876548102007,38.1261721509743,34.3868438120834,41.6095526844309,41.0323606257119,41.9342125550204,40.9191987049555,41.4263891294453,41.9332136685092,41.5729102938781,41.3553056493174,41.4511208145626,41.8775455916691,41.7130025545359,41.6645000182591,41.6910798351463,41.8711587579915,41.6367387761093,41.7819180315819,42.4504862555576,43.004769243451,41.9338972376891,41.7397931439149,42.0042798552497,41.97601704123,42.7357693861764,42.30902346342,43.3655407822413,44.0337043329554,43.1840707276249,42.9460927597244,42.0429154450327,43.1520263123309,43.5216278808716,43.7229415567693,43.7486808265222,43.3782940276244,43.4044181015677,42.935276312111,43.9059978892837,43.6271920010389,44.6818835897371,44.056880694438,44.9159342897852,45.0089900024087,44.2950868571305,44.2993370173355,44.919115329593,44.868479314595,38.6508139647019,43.474899454348,45.4768091784014,45.7140668506357,45.4160808704621,46.2976089999511,45.9694918509005,45.8662378063246,45.8719807243385,46.4955581306102,46.7968086929155,45.7856497980127,47.3694544949613,46.8780278479715,47.3916502921343,47.4550738254317,48.1891030040577,47.6740853698185,48.2239018327097,48.5293673833976,48.315656469372,48.5274974414508,46.7278458287711,48.0553405258591,48.1971261529246,45.6155697859593,41.4213128691119,47.8510139132903,51.5525398944546,52.186479435678,52.9469202662758,52.0124514201378,52.9097606829386,52.4767213603192,53.4986755958246,53.0402793110299,54.0028295188846,54.138325734276,54.0148605574433,54.4919087536723,55.286003222633,55.3150574144408,55.3126167741278,55.9936550992856,55.4797429355262,55.4011791918107,56.2526586415189,56.0174292195577,56.4425298398615,56.4230420218964,56.4588376495029,56.236088623742,56.8947008986683,56.9108020497988,57.1403134202073,57.2162119872364,57.5460928055928,57.5902875000012,57.8524816161648,58.4290694052577,58.4675915351887,58.7558144009373,58.8782929467664,58.9311411989818,59.2767414765693,59.1702378305267,59.6470419162336,59.7054199703092,59.9573822100196,60.4675288082758,60.6650678095791,60.8259928910384,61.0807026018712,61.2936372384063,61.5072868838255,61.4871880065679,61.8684227862506,61.8362336603294,61.9314789744666,62.1934645280664,62.2841243083774,62.3646782286919,62.6494623634477,62.8013199406229,62.8540282608982,62.731367593661,63.6276171357768,63.5560992025879,63.9132671186205,64.0869553529678,64.0505236655078,64.1507871169511,64.3618455632959,64.6840679590719,64.537263484394,64.7488685832252,65.1174032702628,64.8433668937801,65.0145267956984,64.9838040117131],"text":["Age: 21 ex_fr_female$Type: Predicted Year: 1816 Ex: 39.978295","Age: 21 ex_fr_female$Type: Predicted Year: 1817 Ex: 39.799412","Age: 21 ex_fr_female$Type: Predicted Year: 1818 Ex: 39.455175","Age: 21 ex_fr_female$Type: Predicted Year: 1819 Ex: 39.437109","Age: 21 ex_fr_female$Type: Predicted Year: 1820 Ex: 39.677606","Age: 21 ex_fr_female$Type: Predicted Year: 1821 Ex: 40.738129","Age: 21 ex_fr_female$Type: Predicted Year: 1822 Ex: 40.608224","Age: 21 ex_fr_female$Type: Predicted Year: 1823 Ex: 41.237496","Age: 21 ex_fr_female$Type: Predicted Year: 1824 Ex: 41.150143","Age: 21 ex_fr_female$Type: Predicted Year: 1825 Ex: 40.472375","Age: 21 ex_fr_female$Type: Predicted Year: 1826 Ex: 39.743392","Age: 21 ex_fr_female$Type: Predicted Year: 1827 Ex: 40.057592","Age: 21 ex_fr_female$Type: Predicted Year: 1828 Ex: 39.785586","Age: 21 ex_fr_female$Type: Predicted Year: 1829 Ex: 39.833029","Age: 21 ex_fr_female$Type: Predicted Year: 1830 Ex: 39.878513","Age: 21 ex_fr_female$Type: Predicted Year: 1831 Ex: 40.378276","Age: 21 ex_fr_female$Type: Predicted Year: 1832 Ex: 36.428879","Age: 21 ex_fr_female$Type: Predicted Year: 1833 Ex: 39.646255","Age: 21 ex_fr_female$Type: Predicted Year: 1834 Ex: 38.602431","Age: 21 ex_fr_female$Type: Predicted Year: 1835 Ex: 39.723268","Age: 21 ex_fr_female$Type: Predicted Year: 1836 Ex: 40.918745","Age: 21 ex_fr_female$Type: Predicted Year: 1837 Ex: 38.632602","Age: 21 ex_fr_female$Type: Predicted Year: 1838 Ex: 39.962793","Age: 21 ex_fr_female$Type: Predicted Year: 1839 Ex: 40.635342","Age: 21 ex_fr_female$Type: Predicted Year: 1840 Ex: 39.807867","Age: 21 ex_fr_female$Type: Predicted Year: 1841 Ex: 40.757652","Age: 21 ex_fr_female$Type: Predicted Year: 1842 Ex: 40.022367","Age: 21 ex_fr_female$Type: Predicted Year: 1843 Ex: 40.590167","Age: 21 ex_fr_female$Type: Predicted Year: 1844 Ex: 40.941216","Age: 21 ex_fr_female$Type: Predicted Year: 1845 Ex: 41.468429","Age: 21 ex_fr_female$Type: Predicted Year: 1846 Ex: 40.546799","Age: 21 ex_fr_female$Type: Predicted Year: 1847 Ex: 39.306738","Age: 21 ex_fr_female$Type: Predicted Year: 1848 Ex: 39.637903","Age: 21 ex_fr_female$Type: Predicted Year: 1849 Ex: 36.836547","Age: 21 ex_fr_female$Type: Predicted Year: 1850 Ex: 41.112416","Age: 21 ex_fr_female$Type: Predicted Year: 1851 Ex: 40.945725","Age: 21 ex_fr_female$Type: Predicted Year: 1852 Ex: 40.693344","Age: 21 ex_fr_female$Type: Predicted Year: 1853 Ex: 40.542616","Age: 21 ex_fr_female$Type: Predicted Year: 1854 Ex: 36.634496","Age: 21 ex_fr_female$Type: Predicted Year: 1855 Ex: 38.805218","Age: 21 ex_fr_female$Type: Predicted Year: 1856 Ex: 40.558316","Age: 21 ex_fr_female$Type: Predicted Year: 1857 Ex: 40.134693","Age: 21 ex_fr_female$Type: Predicted Year: 1858 Ex: 39.581295","Age: 21 ex_fr_female$Type: Predicted Year: 1859 Ex: 39.364910","Age: 21 ex_fr_female$Type: Predicted Year: 1860 Ex: 41.454216","Age: 21 ex_fr_female$Type: Predicted Year: 1861 Ex: 41.098623","Age: 21 ex_fr_female$Type: Predicted Year: 1862 Ex: 41.576923","Age: 21 ex_fr_female$Type: Predicted Year: 1863 Ex: 41.320943","Age: 21 ex_fr_female$Type: Predicted Year: 1864 Ex: 40.855459","Age: 21 ex_fr_female$Type: Predicted Year: 1865 Ex: 40.162322","Age: 21 ex_fr_female$Type: Predicted Year: 1866 Ex: 40.169169","Age: 21 ex_fr_female$Type: Predicted Year: 1867 Ex: 41.249336","Age: 21 ex_fr_female$Type: Predicted Year: 1868 Ex: 40.721865","Age: 21 ex_fr_female$Type: Predicted Year: 1869 Ex: 40.787655","Age: 21 ex_fr_female$Type: Predicted Year: 1870 Ex: 38.126172","Age: 21 ex_fr_female$Type: Predicted Year: 1871 Ex: 34.386844","Age: 21 ex_fr_female$Type: Predicted Year: 1872 Ex: 41.609553","Age: 21 ex_fr_female$Type: Predicted Year: 1873 Ex: 41.032361","Age: 21 ex_fr_female$Type: Predicted Year: 1874 Ex: 41.934213","Age: 21 ex_fr_female$Type: Predicted Year: 1875 Ex: 40.919199","Age: 21 ex_fr_female$Type: Predicted Year: 1876 Ex: 41.426389","Age: 21 ex_fr_female$Type: Predicted Year: 1877 Ex: 41.933214","Age: 21 ex_fr_female$Type: Predicted Year: 1878 Ex: 41.572910","Age: 21 ex_fr_female$Type: Predicted Year: 1879 Ex: 41.355306","Age: 21 ex_fr_female$Type: Predicted Year: 1880 Ex: 41.451121","Age: 21 ex_fr_female$Type: Predicted Year: 1881 Ex: 41.877546","Age: 21 ex_fr_female$Type: Predicted Year: 1882 Ex: 41.713003","Age: 21 ex_fr_female$Type: Predicted Year: 1883 Ex: 41.664500","Age: 21 ex_fr_female$Type: Predicted Year: 1884 Ex: 41.691080","Age: 21 ex_fr_female$Type: Predicted Year: 1885 Ex: 41.871159","Age: 21 ex_fr_female$Type: Predicted Year: 1886 Ex: 41.636739","Age: 21 ex_fr_female$Type: Predicted Year: 1887 Ex: 41.781918","Age: 21 ex_fr_female$Type: Predicted Year: 1888 Ex: 42.450486","Age: 21 ex_fr_female$Type: Predicted Year: 1889 Ex: 43.004769","Age: 21 ex_fr_female$Type: Predicted Year: 1890 Ex: 41.933897","Age: 21 ex_fr_female$Type: Predicted Year: 1891 Ex: 41.739793","Age: 21 ex_fr_female$Type: Predicted Year: 1892 Ex: 42.004280","Age: 21 ex_fr_female$Type: Predicted Year: 1893 Ex: 41.976017","Age: 21 ex_fr_female$Type: Predicted Year: 1894 Ex: 42.735769","Age: 21 ex_fr_female$Type: Predicted Year: 1895 Ex: 42.309023","Age: 21 ex_fr_female$Type: Predicted Year: 1896 Ex: 43.365541","Age: 21 ex_fr_female$Type: Predicted Year: 1897 Ex: 44.033704","Age: 21 ex_fr_female$Type: Predicted Year: 1898 Ex: 43.184071","Age: 21 ex_fr_female$Type: Predicted Year: 1899 Ex: 42.946093","Age: 21 ex_fr_female$Type: Predicted Year: 1900 Ex: 42.042915","Age: 21 ex_fr_female$Type: Predicted Year: 1901 Ex: 43.152026","Age: 21 ex_fr_female$Type: Predicted Year: 1902 Ex: 43.521628","Age: 21 ex_fr_female$Type: Predicted Year: 1903 Ex: 43.722942","Age: 21 ex_fr_female$Type: Predicted Year: 1904 Ex: 43.748681","Age: 21 ex_fr_female$Type: Predicted Year: 1905 Ex: 43.378294","Age: 21 ex_fr_female$Type: Predicted Year: 1906 Ex: 43.404418","Age: 21 ex_fr_female$Type: Predicted Year: 1907 Ex: 42.935276","Age: 21 ex_fr_female$Type: Predicted Year: 1908 Ex: 43.905998","Age: 21 ex_fr_female$Type: Predicted Year: 1909 Ex: 43.627192","Age: 21 ex_fr_female$Type: Predicted Year: 1910 Ex: 44.681884","Age: 21 ex_fr_female$Type: Predicted Year: 1911 Ex: 44.056881","Age: 21 ex_fr_female$Type: Predicted Year: 1912 Ex: 44.915934","Age: 21 ex_fr_female$Type: Predicted Year: 1913 Ex: 45.008990","Age: 21 ex_fr_female$Type: Predicted Year: 1914 Ex: 44.295087","Age: 21 ex_fr_female$Type: Predicted Year: 1915 Ex: 44.299337","Age: 21 ex_fr_female$Type: Predicted Year: 1916 Ex: 44.919115","Age: 21 ex_fr_female$Type: Predicted Year: 1917 Ex: 44.868479","Age: 21 ex_fr_female$Type: Predicted Year: 1918 Ex: 38.650814","Age: 21 ex_fr_female$Type: Predicted Year: 1919 Ex: 43.474899","Age: 21 ex_fr_female$Type: Predicted Year: 1920 Ex: 45.476809","Age: 21 ex_fr_female$Type: Predicted Year: 1921 Ex: 45.714067","Age: 21 ex_fr_female$Type: Predicted Year: 1922 Ex: 45.416081","Age: 21 ex_fr_female$Type: Predicted Year: 1923 Ex: 46.297609","Age: 21 ex_fr_female$Type: Predicted Year: 1924 Ex: 45.969492","Age: 21 ex_fr_female$Type: Predicted Year: 1925 Ex: 45.866238","Age: 21 ex_fr_female$Type: Predicted Year: 1926 Ex: 45.871981","Age: 21 ex_fr_female$Type: Predicted Year: 1927 Ex: 46.495558","Age: 21 ex_fr_female$Type: Predicted Year: 1928 Ex: 46.796809","Age: 21 ex_fr_female$Type: Predicted Year: 1929 Ex: 45.785650","Age: 21 ex_fr_female$Type: Predicted Year: 1930 Ex: 47.369454","Age: 21 ex_fr_female$Type: Predicted Year: 1931 Ex: 46.878028","Age: 21 ex_fr_female$Type: Predicted Year: 1932 Ex: 47.391650","Age: 21 ex_fr_female$Type: Predicted Year: 1933 Ex: 47.455074","Age: 21 ex_fr_female$Type: Predicted Year: 1934 Ex: 48.189103","Age: 21 ex_fr_female$Type: Predicted Year: 1935 Ex: 47.674085","Age: 21 ex_fr_female$Type: Predicted Year: 1936 Ex: 48.223902","Age: 21 ex_fr_female$Type: Predicted Year: 1937 Ex: 48.529367","Age: 21 ex_fr_female$Type: Predicted Year: 1938 Ex: 48.315656","Age: 21 ex_fr_female$Type: Predicted Year: 1939 Ex: 48.527497","Age: 21 ex_fr_female$Type: Predicted Year: 1940 Ex: 46.727846","Age: 21 ex_fr_female$Type: Predicted Year: 1941 Ex: 48.055341","Age: 21 ex_fr_female$Type: Predicted Year: 1942 Ex: 48.197126","Age: 21 ex_fr_female$Type: Predicted Year: 1943 Ex: 45.615570","Age: 21 ex_fr_female$Type: Predicted Year: 1944 Ex: 41.421313","Age: 21 ex_fr_female$Type: Predicted Year: 1945 Ex: 47.851014","Age: 21 ex_fr_female$Type: Predicted Year: 1946 Ex: 51.552540","Age: 21 ex_fr_female$Type: Predicted Year: 1947 Ex: 52.186479","Age: 21 ex_fr_female$Type: Predicted Year: 1948 Ex: 52.946920","Age: 21 ex_fr_female$Type: Predicted Year: 1949 Ex: 52.012451","Age: 21 ex_fr_female$Type: Predicted Year: 1950 Ex: 52.909761","Age: 21 ex_fr_female$Type: Predicted Year: 1951 Ex: 52.476721","Age: 21 ex_fr_female$Type: Predicted Year: 1952 Ex: 53.498676","Age: 21 ex_fr_female$Type: Predicted Year: 1953 Ex: 53.040279","Age: 21 ex_fr_female$Type: Predicted Year: 1954 Ex: 54.002830","Age: 21 ex_fr_female$Type: Predicted Year: 1955 Ex: 54.138326","Age: 21 ex_fr_female$Type: Predicted Year: 1956 Ex: 54.014861","Age: 21 ex_fr_female$Type: Predicted Year: 1957 Ex: 54.491909","Age: 21 ex_fr_female$Type: Predicted Year: 1958 Ex: 55.286003","Age: 21 ex_fr_female$Type: Predicted Year: 1959 Ex: 55.315057","Age: 21 ex_fr_female$Type: Predicted Year: 1960 Ex: 55.312617","Age: 21 ex_fr_female$Type: Predicted Year: 1961 Ex: 55.993655","Age: 21 ex_fr_female$Type: Predicted Year: 1962 Ex: 55.479743","Age: 21 ex_fr_female$Type: Predicted Year: 1963 Ex: 55.401179","Age: 21 ex_fr_female$Type: Predicted Year: 1964 Ex: 56.252659","Age: 21 ex_fr_female$Type: Predicted Year: 1965 Ex: 56.017429","Age: 21 ex_fr_female$Type: Predicted Year: 1966 Ex: 56.442530","Age: 21 ex_fr_female$Type: Predicted Year: 1967 Ex: 56.423042","Age: 21 ex_fr_female$Type: Predicted Year: 1968 Ex: 56.458838","Age: 21 ex_fr_female$Type: Predicted Year: 1969 Ex: 56.236089","Age: 21 ex_fr_female$Type: Predicted Year: 1970 Ex: 56.894701","Age: 21 ex_fr_female$Type: Predicted Year: 1971 Ex: 56.910802","Age: 21 ex_fr_female$Type: Predicted Year: 1972 Ex: 57.140313","Age: 21 ex_fr_female$Type: Predicted Year: 1973 Ex: 57.216212","Age: 21 ex_fr_female$Type: Predicted Year: 1974 Ex: 57.546093","Age: 21 ex_fr_female$Type: Predicted Year: 1975 Ex: 57.590288","Age: 21 ex_fr_female$Type: Predicted Year: 1976 Ex: 57.852482","Age: 21 ex_fr_female$Type: Predicted Year: 1977 Ex: 58.429069","Age: 21 ex_fr_female$Type: Predicted Year: 1978 Ex: 58.467592","Age: 21 ex_fr_female$Type: Predicted Year: 1979 Ex: 58.755814","Age: 21 ex_fr_female$Type: Predicted Year: 1980 Ex: 58.878293","Age: 21 ex_fr_female$Type: Predicted Year: 1981 Ex: 58.931141","Age: 21 ex_fr_female$Type: Predicted Year: 1982 Ex: 59.276741","Age: 21 ex_fr_female$Type: Predicted Year: 1983 Ex: 59.170238","Age: 21 ex_fr_female$Type: Predicted Year: 1984 Ex: 59.647042","Age: 21 ex_fr_female$Type: Predicted Year: 1985 Ex: 59.705420","Age: 21 ex_fr_female$Type: Predicted Year: 1986 Ex: 59.957382","Age: 21 ex_fr_female$Type: Predicted Year: 1987 Ex: 60.467529","Age: 21 ex_fr_female$Type: Predicted Year: 1988 Ex: 60.665068","Age: 21 ex_fr_female$Type: Predicted Year: 1989 Ex: 60.825993","Age: 21 ex_fr_female$Type: Predicted Year: 1990 Ex: 61.080703","Age: 21 ex_fr_female$Type: Predicted Year: 1991 Ex: 61.293637","Age: 21 ex_fr_female$Type: Predicted Year: 1992 Ex: 61.507287","Age: 21 ex_fr_female$Type: Predicted Year: 1993 Ex: 61.487188","Age: 21 ex_fr_female$Type: Predicted Year: 1994 Ex: 61.868423","Age: 21 ex_fr_female$Type: Predicted Year: 1995 Ex: 61.836234","Age: 21 ex_fr_female$Type: Predicted Year: 1996 Ex: 61.931479","Age: 21 ex_fr_female$Type: Predicted Year: 1997 Ex: 62.193465","Age: 21 ex_fr_female$Type: Predicted Year: 1998 Ex: 62.284124","Age: 21 ex_fr_female$Type: Predicted Year: 1999 Ex: 62.364678","Age: 21 ex_fr_female$Type: Predicted Year: 2000 Ex: 62.649462","Age: 21 ex_fr_female$Type: Predicted Year: 2001 Ex: 62.801320","Age: 21 ex_fr_female$Type: Predicted Year: 2002 Ex: 62.854028","Age: 21 ex_fr_female$Type: Predicted Year: 2003 Ex: 62.731368","Age: 21 ex_fr_female$Type: Predicted Year: 2004 Ex: 63.627617","Age: 21 ex_fr_female$Type: Predicted Year: 2005 Ex: 63.556099","Age: 21 ex_fr_female$Type: Predicted Year: 2006 Ex: 63.913267","Age: 21 ex_fr_female$Type: Predicted Year: 2007 Ex: 64.086955","Age: 21 ex_fr_female$Type: Predicted Year: 2008 Ex: 64.050524","Age: 21 ex_fr_female$Type: Predicted Year: 2009 Ex: 64.150787","Age: 21 ex_fr_female$Type: Predicted Year: 2010 Ex: 64.361846","Age: 21 ex_fr_female$Type: Predicted Year: 2011 Ex: 64.684068","Age: 21 ex_fr_female$Type: Predicted Year: 2012 Ex: 64.537263","Age: 21 ex_fr_female$Type: Predicted Year: 2013 Ex: 64.748869","Age: 21 ex_fr_female$Type: Predicted Year: 2014 Ex: 65.117403","Age: 21 ex_fr_female$Type: Predicted Year: 2015 Ex: 64.843367","Age: 21 ex_fr_female$Type: Predicted Year: 2016 Ex: 65.014527","Age: 21 ex_fr_female$Type: Predicted Year: 2017 Ex: 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39.470000","Age: 22 ex_fr_female$Type: Observed Year: 1832 Ex: 35.540000","Age: 22 ex_fr_female$Type: Observed Year: 1833 Ex: 38.750000","Age: 22 ex_fr_female$Type: Observed Year: 1834 Ex: 37.730000","Age: 22 ex_fr_female$Type: Observed Year: 1835 Ex: 38.820000","Age: 22 ex_fr_female$Type: Observed Year: 1836 Ex: 40.010000","Age: 22 ex_fr_female$Type: Observed Year: 1837 Ex: 37.730000","Age: 22 ex_fr_female$Type: Observed Year: 1838 Ex: 39.060000","Age: 22 ex_fr_female$Type: Observed Year: 1839 Ex: 39.740000","Age: 22 ex_fr_female$Type: Observed Year: 1840 Ex: 38.910000","Age: 22 ex_fr_female$Type: Observed Year: 1841 Ex: 39.860000","Age: 22 ex_fr_female$Type: Observed Year: 1842 Ex: 39.130000","Age: 22 ex_fr_female$Type: Observed Year: 1843 Ex: 39.700000","Age: 22 ex_fr_female$Type: Observed Year: 1844 Ex: 40.040000","Age: 22 ex_fr_female$Type: Observed Year: 1845 Ex: 40.560000","Age: 22 ex_fr_female$Type: Observed Year: 1846 Ex: 39.680000","Age: 22 ex_fr_female$Type: Observed Year: 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41.790000","Age: 22 ex_fr_female$Type: Observed Year: 1895 Ex: 41.360000","Age: 22 ex_fr_female$Type: Observed Year: 1896 Ex: 42.410000","Age: 22 ex_fr_female$Type: Observed Year: 1897 Ex: 43.060000","Age: 22 ex_fr_female$Type: Observed Year: 1898 Ex: 42.210000","Age: 22 ex_fr_female$Type: Observed Year: 1899 Ex: 41.990000","Age: 22 ex_fr_female$Type: Observed Year: 1900 Ex: 41.090000","Age: 22 ex_fr_female$Type: Observed Year: 1901 Ex: 42.180000","Age: 22 ex_fr_female$Type: Observed Year: 1902 Ex: 42.550000","Age: 22 ex_fr_female$Type: Observed Year: 1903 Ex: 42.750000","Age: 22 ex_fr_female$Type: Observed Year: 1904 Ex: 42.780000","Age: 22 ex_fr_female$Type: Observed Year: 1905 Ex: 42.400000","Age: 22 ex_fr_female$Type: Observed Year: 1906 Ex: 42.430000","Age: 22 ex_fr_female$Type: Observed Year: 1907 Ex: 41.960000","Age: 22 ex_fr_female$Type: Observed Year: 1908 Ex: 42.910000","Age: 22 ex_fr_female$Type: Observed Year: 1909 Ex: 42.640000","Age: 22 ex_fr_female$Type: Observed Year: 1910 Ex: 43.690000","Age: 22 ex_fr_female$Type: Observed Year: 1911 Ex: 43.070000","Age: 22 ex_fr_female$Type: Observed Year: 1912 Ex: 43.920000","Age: 22 ex_fr_female$Type: Observed Year: 1913 Ex: 44.010000","Age: 22 ex_fr_female$Type: Observed Year: 1914 Ex: 43.300000","Age: 22 ex_fr_female$Type: Observed Year: 1915 Ex: 43.300000","Age: 22 ex_fr_female$Type: Observed Year: 1916 Ex: 43.910000","Age: 22 ex_fr_female$Type: Observed Year: 1917 Ex: 43.870000","Age: 22 ex_fr_female$Type: Observed Year: 1918 Ex: 37.850000","Age: 22 ex_fr_female$Type: Observed Year: 1919 Ex: 42.550000","Age: 22 ex_fr_female$Type: Observed Year: 1920 Ex: 44.480000","Age: 22 ex_fr_female$Type: Observed Year: 1921 Ex: 44.710000","Age: 22 ex_fr_female$Type: Observed Year: 1922 Ex: 44.410000","Age: 22 ex_fr_female$Type: Observed Year: 1923 Ex: 45.300000","Age: 22 ex_fr_female$Type: Observed Year: 1924 Ex: 44.970000","Age: 22 ex_fr_female$Type: Observed Year: 1925 Ex: 44.870000","Age: 22 ex_fr_female$Type: Observed Year: 1926 Ex: 44.890000","Age: 22 ex_fr_female$Type: Observed Year: 1927 Ex: 45.510000","Age: 22 ex_fr_female$Type: Observed Year: 1928 Ex: 45.810000","Age: 22 ex_fr_female$Type: Observed Year: 1929 Ex: 44.790000","Age: 22 ex_fr_female$Type: Observed Year: 1930 Ex: 46.360000","Age: 22 ex_fr_female$Type: Observed Year: 1931 Ex: 45.860000","Age: 22 ex_fr_female$Type: Observed Year: 1932 Ex: 46.350000","Age: 22 ex_fr_female$Type: Observed Year: 1933 Ex: 46.410000","Age: 22 ex_fr_female$Type: Observed Year: 1934 Ex: 47.140000","Age: 22 ex_fr_female$Type: Observed Year: 1935 Ex: 46.610000","Age: 22 ex_fr_female$Type: Observed Year: 1936 Ex: 47.160000","Age: 22 ex_fr_female$Type: Observed Year: 1937 Ex: 47.480000","Age: 22 ex_fr_female$Type: Observed Year: 1938 Ex: 47.270000","Age: 22 ex_fr_female$Type: Observed Year: 1939 Ex: 47.470000","Age: 22 ex_fr_female$Type: Observed Year: 1940 Ex: 45.660000","Age: 22 ex_fr_female$Type: Observed Year: 1941 Ex: 46.980000","Age: 22 ex_fr_female$Type: Observed Year: 1942 Ex: 47.160000","Age: 22 ex_fr_female$Type: Observed Year: 1943 Ex: 44.780000","Age: 22 ex_fr_female$Type: Observed Year: 1944 Ex: 40.660000","Age: 22 ex_fr_female$Type: Observed Year: 1945 Ex: 46.830000","Age: 22 ex_fr_female$Type: Observed Year: 1946 Ex: 50.420000","Age: 22 ex_fr_female$Type: Observed Year: 1947 Ex: 51.040000","Age: 22 ex_fr_female$Type: Observed Year: 1948 Ex: 51.790000","Age: 22 ex_fr_female$Type: Observed Year: 1949 Ex: 50.830000","Age: 22 ex_fr_female$Type: Observed Year: 1950 Ex: 51.720000","Age: 22 ex_fr_female$Type: Observed Year: 1951 Ex: 51.290000","Age: 22 ex_fr_female$Type: Observed Year: 1952 Ex: 52.300000","Age: 22 ex_fr_female$Type: Observed Year: 1953 Ex: 51.830000","Age: 22 ex_fr_female$Type: Observed Year: 1954 Ex: 52.800000","Age: 22 ex_fr_female$Type: Observed Year: 1955 Ex: 52.930000","Age: 22 ex_fr_female$Type: Observed Year: 1956 Ex: 52.800000","Age: 22 ex_fr_female$Type: Observed Year: 1957 Ex: 53.280000","Age: 22 ex_fr_female$Type: Observed Year: 1958 Ex: 54.070000","Age: 22 ex_fr_female$Type: Observed Year: 1959 Ex: 54.100000","Age: 22 ex_fr_female$Type: Observed Year: 1960 Ex: 54.090000","Age: 22 ex_fr_female$Type: Observed Year: 1961 Ex: 54.770000","Age: 22 ex_fr_female$Type: Observed Year: 1962 Ex: 54.260000","Age: 22 ex_fr_female$Type: Observed Year: 1963 Ex: 54.180000","Age: 22 ex_fr_female$Type: Observed Year: 1964 Ex: 55.030000","Age: 22 ex_fr_female$Type: Observed Year: 1965 Ex: 54.800000","Age: 22 ex_fr_female$Type: Observed Year: 1966 Ex: 55.220000","Age: 22 ex_fr_female$Type: Observed Year: 1967 Ex: 55.200000","Age: 22 ex_fr_female$Type: Observed Year: 1968 Ex: 55.240000","Age: 22 ex_fr_female$Type: Observed Year: 1969 Ex: 55.020000","Age: 22 ex_fr_female$Type: Observed Year: 1970 Ex: 55.680000","Age: 22 ex_fr_female$Type: Observed Year: 1971 Ex: 55.700000","Age: 22 ex_fr_female$Type: Observed Year: 1972 Ex: 55.930000","Age: 22 ex_fr_female$Type: Observed Year: 1973 Ex: 56.000000","Age: 22 ex_fr_female$Type: Observed Year: 1974 Ex: 56.320000","Age: 22 ex_fr_female$Type: Observed Year: 1975 Ex: 56.370000","Age: 22 ex_fr_female$Type: Observed Year: 1976 Ex: 56.630000","Age: 22 ex_fr_female$Type: Observed Year: 1977 Ex: 57.220000","Age: 22 ex_fr_female$Type: Observed Year: 1978 Ex: 57.250000","Age: 22 ex_fr_female$Type: Observed Year: 1979 Ex: 57.540000","Age: 22 ex_fr_female$Type: Observed Year: 1980 Ex: 57.650000","Age: 22 ex_fr_female$Type: Observed Year: 1981 Ex: 57.710000","Age: 22 ex_fr_female$Type: Observed Year: 1982 Ex: 58.060000","Age: 22 ex_fr_female$Type: Observed Year: 1983 Ex: 57.950000","Age: 22 ex_fr_female$Type: Observed Year: 1984 Ex: 58.420000","Age: 22 ex_fr_female$Type: Observed Year: 1985 Ex: 58.480000","Age: 22 ex_fr_female$Type: Observed Year: 1986 Ex: 58.730000","Age: 22 ex_fr_female$Type: Observed Year: 1987 Ex: 59.240000","Age: 22 ex_fr_female$Type: Observed Year: 1988 Ex: 59.440000","Age: 22 ex_fr_female$Type: Observed Year: 1989 Ex: 59.600000","Age: 22 ex_fr_female$Type: Observed Year: 1990 Ex: 59.860000","Age: 22 ex_fr_female$Type: Observed Year: 1991 Ex: 60.060000","Age: 22 ex_fr_female$Type: Observed Year: 1992 Ex: 60.280000","Age: 22 ex_fr_female$Type: Observed Year: 1993 Ex: 60.270000","Age: 22 ex_fr_female$Type: Observed Year: 1994 Ex: 60.650000","Age: 22 ex_fr_female$Type: Observed Year: 1995 Ex: 60.610000","Age: 22 ex_fr_female$Type: Observed Year: 1996 Ex: 60.710000","Age: 22 ex_fr_female$Type: Observed Year: 1997 Ex: 60.970000","Age: 22 ex_fr_female$Type: Observed Year: 1998 Ex: 61.060000","Age: 22 ex_fr_female$Type: Observed Year: 1999 Ex: 61.140000","Age: 22 ex_fr_female$Type: Observed Year: 2000 Ex: 61.420000","Age: 22 ex_fr_female$Type: Observed Year: 2001 Ex: 61.570000","Age: 22 ex_fr_female$Type: Observed Year: 2002 Ex: 61.620000","Age: 22 ex_fr_female$Type: Observed Year: 2003 Ex: 61.500000","Age: 22 ex_fr_female$Type: Observed Year: 2004 Ex: 62.400000","Age: 22 ex_fr_female$Type: Observed Year: 2005 Ex: 62.330000","Age: 22 ex_fr_female$Type: Observed Year: 2006 Ex: 62.680000","Age: 22 ex_fr_female$Type: Observed Year: 2007 Ex: 62.850000","Age: 22 ex_fr_female$Type: Observed Year: 2008 Ex: 62.810000","Age: 22 ex_fr_female$Type: Observed Year: 2009 Ex: 62.920000","Age: 22 ex_fr_female$Type: Observed Year: 2010 Ex: 63.130000","Age: 22 ex_fr_female$Type: Observed Year: 2011 Ex: 63.450000","Age: 22 ex_fr_female$Type: Observed Year: 2012 Ex: 63.300000","Age: 22 ex_fr_female$Type: Observed Year: 2013 Ex: 63.510000","Age: 22 ex_fr_female$Type: Observed Year: 2014 Ex: 63.880000","Age: 22 ex_fr_female$Type: Observed Year: 2015 Ex: 63.610000","Age: 22 ex_fr_female$Type: Observed Year: 2016 Ex: 63.780000","Age: 22 ex_fr_female$Type: Observed Year: 2017 Ex: 63.750000"],"frame":"22","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[39.2754963883622,39.1336936426782,38.8242626021954,38.8123154741278,39.008086136827,40.0820186678536,39.9793296872245,40.5696333519204,40.4799285298944,39.811977387303,39.0973871076313,39.3980599011438,39.1383756617144,39.173547621985,39.2265751245995,39.7283422723855,35.80122474417,39.0088552970463,37.9938377913631,39.0806439288618,40.2613245573355,37.9854276536218,39.3187675259008,39.9933328658873,39.1707735041208,40.1155155661476,39.3884512942037,39.9578691902463,40.2962238835143,40.8160812232258,39.9375503859431,38.6936202445622,39.0099074142523,36.2292760627405,40.4513134778352,40.2860860245322,40.0550974660007,39.9183688887127,36.0561018431921,38.2107069698894,39.9455391506304,39.5158205359813,38.9523663706858,38.7712174224703,40.7943141146863,40.461156168481,40.9242533507205,40.6685782098054,40.2027935481547,39.5341062526295,39.5382143130503,40.5791042470281,40.0785992398686,40.1535088700354,37.5648013423682,33.9244537236899,40.9654509500958,40.3963469485689,41.2766251521856,40.2670819174224,40.7864815028146,41.2710228688509,40.9011570820342,40.6797543114623,40.7874766783084,41.202805164881,41.0402918338419,41.0113251046497,41.0260843500966,41.197202074258,40.9721307865336,41.0947775574304,41.7510858680389,42.3007794975824,41.241229330358,41.0469318938049,41.3133884044934,41.3204479238606,42.0388386097619,41.6077672383182,42.6614737121018,43.3044526195081,42.4572665936798,42.231010169021,41.3380841837185,42.4267341333616,42.79222179962,42.9982814397834,43.0259256943564,42.6449661341258,42.6716843998346,42.2017552208091,43.1549923212859,42.8902048875803,43.9308854707972,43.3106834683309,44.1631286895528,44.2567022985439,43.5397067573469,43.5426593472654,44.1515898701643,44.1149634510558,38.1106149237437,42.7888996832087,44.7284819406234,44.9584292275664,44.6570264324975,45.5465065530998,45.216606176555,45.1109664858706,45.1363599540091,45.7589447362952,46.0526088382138,45.0372291727618,46.6081576297581,46.1077026021834,46.5974865017128,46.6578872565634,47.3869454243045,46.8546352261568,47.4055978821679,47.7281391343567,47.5101829233392,47.7137242053373,45.9019899199787,47.2182583799881,47.4017076572784,45.0257216296147,40.9140902568206,47.0721849666807,50.6741897026751,51.2878843121508,52.0387827564207,51.0861669322598,51.974264358339,51.5380900990802,52.5474568167344,52.0865351093748,53.0472553040861,53.1791063584712,53.0507275294524,53.5275551767693,54.3199810777661,54.3528928572845,54.3427720060423,55.026406017315,54.5171418763623,54.43687655993,55.2838888748235,55.0540828185302,55.4789043059589,55.4588442254956,55.4957826742097,55.2745597974473,55.9313693715061,55.9497389364391,56.1788419330274,56.2570623660036,56.5791891373562,56.6216957954074,56.8846080012577,57.4690542579215,57.499482480543,57.7901954738503,57.9080734702027,57.9627025367904,58.3114299871511,58.2019283153861,58.6778063767898,58.7368071604988,58.9865234669104,59.4927204606223,59.6933520382433,59.8537492317266,60.1067579058803,60.3179595577655,60.5292534610875,60.5195197841324,60.8960447914556,60.8613866724977,60.9579001909871,61.2181468503421,61.3069886642774,61.3875723950572,61.6699750706243,61.8231292192258,61.8733610062346,61.751907334024,62.6452953435239,62.576911149296,62.9316596329995,63.1034901108781,63.0657776216623,63.1679751498571,63.3778130206189,63.6994739841051,63.5513532322328,63.7597918193595,64.1290354497476,63.8575239917775,64.0267857203874,63.9986369924286],"text":["Age: 22 ex_fr_female$Type: Predicted Year: 1816 Ex: 39.275496","Age: 22 ex_fr_female$Type: Predicted Year: 1817 Ex: 39.133694","Age: 22 ex_fr_female$Type: Predicted Year: 1818 Ex: 38.824263","Age: 22 ex_fr_female$Type: Predicted Year: 1819 Ex: 38.812315","Age: 22 ex_fr_female$Type: Predicted Year: 1820 Ex: 39.008086","Age: 22 ex_fr_female$Type: Predicted Year: 1821 Ex: 40.082019","Age: 22 ex_fr_female$Type: Predicted Year: 1822 Ex: 39.979330","Age: 22 ex_fr_female$Type: Predicted Year: 1823 Ex: 40.569633","Age: 22 ex_fr_female$Type: Predicted Year: 1824 Ex: 40.479929","Age: 22 ex_fr_female$Type: Predicted Year: 1825 Ex: 39.811977","Age: 22 ex_fr_female$Type: Predicted Year: 1826 Ex: 39.097387","Age: 22 ex_fr_female$Type: Predicted Year: 1827 Ex: 39.398060","Age: 22 ex_fr_female$Type: Predicted Year: 1828 Ex: 39.138376","Age: 22 ex_fr_female$Type: Predicted Year: 1829 Ex: 39.173548","Age: 22 ex_fr_female$Type: Predicted Year: 1830 Ex: 39.226575","Age: 22 ex_fr_female$Type: Predicted Year: 1831 Ex: 39.728342","Age: 22 ex_fr_female$Type: Predicted Year: 1832 Ex: 35.801225","Age: 22 ex_fr_female$Type: Predicted Year: 1833 Ex: 39.008855","Age: 22 ex_fr_female$Type: Predicted Year: 1834 Ex: 37.993838","Age: 22 ex_fr_female$Type: Predicted Year: 1835 Ex: 39.080644","Age: 22 ex_fr_female$Type: Predicted Year: 1836 Ex: 40.261325","Age: 22 ex_fr_female$Type: Predicted Year: 1837 Ex: 37.985428","Age: 22 ex_fr_female$Type: Predicted Year: 1838 Ex: 39.318768","Age: 22 ex_fr_female$Type: Predicted Year: 1839 Ex: 39.993333","Age: 22 ex_fr_female$Type: Predicted Year: 1840 Ex: 39.170774","Age: 22 ex_fr_female$Type: Predicted Year: 1841 Ex: 40.115516","Age: 22 ex_fr_female$Type: Predicted Year: 1842 Ex: 39.388451","Age: 22 ex_fr_female$Type: Predicted Year: 1843 Ex: 39.957869","Age: 22 ex_fr_female$Type: Predicted Year: 1844 Ex: 40.296224","Age: 22 ex_fr_female$Type: Predicted Year: 1845 Ex: 40.816081","Age: 22 ex_fr_female$Type: Predicted Year: 1846 Ex: 39.937550","Age: 22 ex_fr_female$Type: Predicted Year: 1847 Ex: 38.693620","Age: 22 ex_fr_female$Type: Predicted Year: 1848 Ex: 39.009907","Age: 22 ex_fr_female$Type: Predicted Year: 1849 Ex: 36.229276","Age: 22 ex_fr_female$Type: Predicted Year: 1850 Ex: 40.451313","Age: 22 ex_fr_female$Type: Predicted Year: 1851 Ex: 40.286086","Age: 22 ex_fr_female$Type: Predicted Year: 1852 Ex: 40.055097","Age: 22 ex_fr_female$Type: Predicted Year: 1853 Ex: 39.918369","Age: 22 ex_fr_female$Type: Predicted Year: 1854 Ex: 36.056102","Age: 22 ex_fr_female$Type: Predicted Year: 1855 Ex: 38.210707","Age: 22 ex_fr_female$Type: Predicted Year: 1856 Ex: 39.945539","Age: 22 ex_fr_female$Type: Predicted Year: 1857 Ex: 39.515821","Age: 22 ex_fr_female$Type: Predicted Year: 1858 Ex: 38.952366","Age: 22 ex_fr_female$Type: Predicted Year: 1859 Ex: 38.771217","Age: 22 ex_fr_female$Type: Predicted Year: 1860 Ex: 40.794314","Age: 22 ex_fr_female$Type: Predicted Year: 1861 Ex: 40.461156","Age: 22 ex_fr_female$Type: Predicted Year: 1862 Ex: 40.924253","Age: 22 ex_fr_female$Type: Predicted Year: 1863 Ex: 40.668578","Age: 22 ex_fr_female$Type: Predicted Year: 1864 Ex: 40.202794","Age: 22 ex_fr_female$Type: Predicted Year: 1865 Ex: 39.534106","Age: 22 ex_fr_female$Type: Predicted Year: 1866 Ex: 39.538214","Age: 22 ex_fr_female$Type: Predicted Year: 1867 Ex: 40.579104","Age: 22 ex_fr_female$Type: Predicted Year: 1868 Ex: 40.078599","Age: 22 ex_fr_female$Type: Predicted Year: 1869 Ex: 40.153509","Age: 22 ex_fr_female$Type: Predicted Year: 1870 Ex: 37.564801","Age: 22 ex_fr_female$Type: Predicted Year: 1871 Ex: 33.924454","Age: 22 ex_fr_female$Type: Predicted Year: 1872 Ex: 40.965451","Age: 22 ex_fr_female$Type: Predicted Year: 1873 Ex: 40.396347","Age: 22 ex_fr_female$Type: Predicted Year: 1874 Ex: 41.276625","Age: 22 ex_fr_female$Type: Predicted Year: 1875 Ex: 40.267082","Age: 22 ex_fr_female$Type: Predicted Year: 1876 Ex: 40.786482","Age: 22 ex_fr_female$Type: Predicted Year: 1877 Ex: 41.271023","Age: 22 ex_fr_female$Type: Predicted Year: 1878 Ex: 40.901157","Age: 22 ex_fr_female$Type: Predicted Year: 1879 Ex: 40.679754","Age: 22 ex_fr_female$Type: Predicted Year: 1880 Ex: 40.787477","Age: 22 ex_fr_female$Type: Predicted Year: 1881 Ex: 41.202805","Age: 22 ex_fr_female$Type: Predicted Year: 1882 Ex: 41.040292","Age: 22 ex_fr_female$Type: Predicted Year: 1883 Ex: 41.011325","Age: 22 ex_fr_female$Type: Predicted Year: 1884 Ex: 41.026084","Age: 22 ex_fr_female$Type: Predicted Year: 1885 Ex: 41.197202","Age: 22 ex_fr_female$Type: Predicted Year: 1886 Ex: 40.972131","Age: 22 ex_fr_female$Type: Predicted Year: 1887 Ex: 41.094778","Age: 22 ex_fr_female$Type: Predicted Year: 1888 Ex: 41.751086","Age: 22 ex_fr_female$Type: Predicted Year: 1889 Ex: 42.300779","Age: 22 ex_fr_female$Type: Predicted Year: 1890 Ex: 41.241229","Age: 22 ex_fr_female$Type: Predicted Year: 1891 Ex: 41.046932","Age: 22 ex_fr_female$Type: Predicted Year: 1892 Ex: 41.313388","Age: 22 ex_fr_female$Type: Predicted Year: 1893 Ex: 41.320448","Age: 22 ex_fr_female$Type: Predicted Year: 1894 Ex: 42.038839","Age: 22 ex_fr_female$Type: Predicted Year: 1895 Ex: 41.607767","Age: 22 ex_fr_female$Type: Predicted Year: 1896 Ex: 42.661474","Age: 22 ex_fr_female$Type: Predicted Year: 1897 Ex: 43.304453","Age: 22 ex_fr_female$Type: Predicted Year: 1898 Ex: 42.457267","Age: 22 ex_fr_female$Type: Predicted Year: 1899 Ex: 42.231010","Age: 22 ex_fr_female$Type: Predicted Year: 1900 Ex: 41.338084","Age: 22 ex_fr_female$Type: Predicted Year: 1901 Ex: 42.426734","Age: 22 ex_fr_female$Type: Predicted Year: 1902 Ex: 42.792222","Age: 22 ex_fr_female$Type: Predicted Year: 1903 Ex: 42.998281","Age: 22 ex_fr_female$Type: Predicted Year: 1904 Ex: 43.025926","Age: 22 ex_fr_female$Type: Predicted Year: 1905 Ex: 42.644966","Age: 22 ex_fr_female$Type: Predicted Year: 1906 Ex: 42.671684","Age: 22 ex_fr_female$Type: Predicted Year: 1907 Ex: 42.201755","Age: 22 ex_fr_female$Type: Predicted Year: 1908 Ex: 43.154992","Age: 22 ex_fr_female$Type: Predicted Year: 1909 Ex: 42.890205","Age: 22 ex_fr_female$Type: Predicted Year: 1910 Ex: 43.930885","Age: 22 ex_fr_female$Type: Predicted Year: 1911 Ex: 43.310683","Age: 22 ex_fr_female$Type: Predicted Year: 1912 Ex: 44.163129","Age: 22 ex_fr_female$Type: Predicted Year: 1913 Ex: 44.256702","Age: 22 ex_fr_female$Type: Predicted Year: 1914 Ex: 43.539707","Age: 22 ex_fr_female$Type: Predicted Year: 1915 Ex: 43.542659","Age: 22 ex_fr_female$Type: Predicted Year: 1916 Ex: 44.151590","Age: 22 ex_fr_female$Type: Predicted Year: 1917 Ex: 44.114963","Age: 22 ex_fr_female$Type: Predicted Year: 1918 Ex: 38.110615","Age: 22 ex_fr_female$Type: Predicted Year: 1919 Ex: 42.788900","Age: 22 ex_fr_female$Type: Predicted Year: 1920 Ex: 44.728482","Age: 22 ex_fr_female$Type: Predicted Year: 1921 Ex: 44.958429","Age: 22 ex_fr_female$Type: Predicted Year: 1922 Ex: 44.657026","Age: 22 ex_fr_female$Type: Predicted Year: 1923 Ex: 45.546507","Age: 22 ex_fr_female$Type: Predicted Year: 1924 Ex: 45.216606","Age: 22 ex_fr_female$Type: Predicted Year: 1925 Ex: 45.110966","Age: 22 ex_fr_female$Type: Predicted Year: 1926 Ex: 45.136360","Age: 22 ex_fr_female$Type: Predicted Year: 1927 Ex: 45.758945","Age: 22 ex_fr_female$Type: Predicted Year: 1928 Ex: 46.052609","Age: 22 ex_fr_female$Type: Predicted Year: 1929 Ex: 45.037229","Age: 22 ex_fr_female$Type: Predicted Year: 1930 Ex: 46.608158","Age: 22 ex_fr_female$Type: Predicted Year: 1931 Ex: 46.107703","Age: 22 ex_fr_female$Type: Predicted Year: 1932 Ex: 46.597487","Age: 22 ex_fr_female$Type: Predicted Year: 1933 Ex: 46.657887","Age: 22 ex_fr_female$Type: Predicted Year: 1934 Ex: 47.386945","Age: 22 ex_fr_female$Type: Predicted Year: 1935 Ex: 46.854635","Age: 22 ex_fr_female$Type: Predicted Year: 1936 Ex: 47.405598","Age: 22 ex_fr_female$Type: Predicted Year: 1937 Ex: 47.728139","Age: 22 ex_fr_female$Type: Predicted Year: 1938 Ex: 47.510183","Age: 22 ex_fr_female$Type: Predicted Year: 1939 Ex: 47.713724","Age: 22 ex_fr_female$Type: Predicted Year: 1940 Ex: 45.901990","Age: 22 ex_fr_female$Type: Predicted Year: 1941 Ex: 47.218258","Age: 22 ex_fr_female$Type: Predicted Year: 1942 Ex: 47.401708","Age: 22 ex_fr_female$Type: Predicted Year: 1943 Ex: 45.025722","Age: 22 ex_fr_female$Type: Predicted Year: 1944 Ex: 40.914090","Age: 22 ex_fr_female$Type: Predicted Year: 1945 Ex: 47.072185","Age: 22 ex_fr_female$Type: Predicted Year: 1946 Ex: 50.674190","Age: 22 ex_fr_female$Type: Predicted Year: 1947 Ex: 51.287884","Age: 22 ex_fr_female$Type: Predicted Year: 1948 Ex: 52.038783","Age: 22 ex_fr_female$Type: Predicted Year: 1949 Ex: 51.086167","Age: 22 ex_fr_female$Type: Predicted Year: 1950 Ex: 51.974264","Age: 22 ex_fr_female$Type: Predicted Year: 1951 Ex: 51.538090","Age: 22 ex_fr_female$Type: Predicted Year: 1952 Ex: 52.547457","Age: 22 ex_fr_female$Type: Predicted Year: 1953 Ex: 52.086535","Age: 22 ex_fr_female$Type: Predicted Year: 1954 Ex: 53.047255","Age: 22 ex_fr_female$Type: Predicted Year: 1955 Ex: 53.179106","Age: 22 ex_fr_female$Type: Predicted Year: 1956 Ex: 53.050728","Age: 22 ex_fr_female$Type: Predicted Year: 1957 Ex: 53.527555","Age: 22 ex_fr_female$Type: Predicted Year: 1958 Ex: 54.319981","Age: 22 ex_fr_female$Type: Predicted Year: 1959 Ex: 54.352893","Age: 22 ex_fr_female$Type: Predicted Year: 1960 Ex: 54.342772","Age: 22 ex_fr_female$Type: Predicted Year: 1961 Ex: 55.026406","Age: 22 ex_fr_female$Type: Predicted Year: 1962 Ex: 54.517142","Age: 22 ex_fr_female$Type: Predicted Year: 1963 Ex: 54.436877","Age: 22 ex_fr_female$Type: Predicted Year: 1964 Ex: 55.283889","Age: 22 ex_fr_female$Type: Predicted Year: 1965 Ex: 55.054083","Age: 22 ex_fr_female$Type: Predicted Year: 1966 Ex: 55.478904","Age: 22 ex_fr_female$Type: Predicted Year: 1967 Ex: 55.458844","Age: 22 ex_fr_female$Type: Predicted Year: 1968 Ex: 55.495783","Age: 22 ex_fr_female$Type: Predicted Year: 1969 Ex: 55.274560","Age: 22 ex_fr_female$Type: Predicted Year: 1970 Ex: 55.931369","Age: 22 ex_fr_female$Type: Predicted Year: 1971 Ex: 55.949739","Age: 22 ex_fr_female$Type: Predicted Year: 1972 Ex: 56.178842","Age: 22 ex_fr_female$Type: Predicted Year: 1973 Ex: 56.257062","Age: 22 ex_fr_female$Type: Predicted Year: 1974 Ex: 56.579189","Age: 22 ex_fr_female$Type: Predicted Year: 1975 Ex: 56.621696","Age: 22 ex_fr_female$Type: Predicted Year: 1976 Ex: 56.884608","Age: 22 ex_fr_female$Type: Predicted Year: 1977 Ex: 57.469054","Age: 22 ex_fr_female$Type: Predicted Year: 1978 Ex: 57.499482","Age: 22 ex_fr_female$Type: Predicted Year: 1979 Ex: 57.790195","Age: 22 ex_fr_female$Type: Predicted Year: 1980 Ex: 57.908073","Age: 22 ex_fr_female$Type: Predicted Year: 1981 Ex: 57.962703","Age: 22 ex_fr_female$Type: Predicted Year: 1982 Ex: 58.311430","Age: 22 ex_fr_female$Type: Predicted Year: 1983 Ex: 58.201928","Age: 22 ex_fr_female$Type: Predicted Year: 1984 Ex: 58.677806","Age: 22 ex_fr_female$Type: Predicted Year: 1985 Ex: 58.736807","Age: 22 ex_fr_female$Type: Predicted Year: 1986 Ex: 58.986523","Age: 22 ex_fr_female$Type: Predicted Year: 1987 Ex: 59.492720","Age: 22 ex_fr_female$Type: Predicted Year: 1988 Ex: 59.693352","Age: 22 ex_fr_female$Type: Predicted Year: 1989 Ex: 59.853749","Age: 22 ex_fr_female$Type: Predicted Year: 1990 Ex: 60.106758","Age: 22 ex_fr_female$Type: Predicted Year: 1991 Ex: 60.317960","Age: 22 ex_fr_female$Type: Predicted Year: 1992 Ex: 60.529253","Age: 22 ex_fr_female$Type: Predicted Year: 1993 Ex: 60.519520","Age: 22 ex_fr_female$Type: Predicted Year: 1994 Ex: 60.896045","Age: 22 ex_fr_female$Type: Predicted Year: 1995 Ex: 60.861387","Age: 22 ex_fr_female$Type: Predicted Year: 1996 Ex: 60.957900","Age: 22 ex_fr_female$Type: Predicted Year: 1997 Ex: 61.218147","Age: 22 ex_fr_female$Type: Predicted Year: 1998 Ex: 61.306989","Age: 22 ex_fr_female$Type: Predicted Year: 1999 Ex: 61.387572","Age: 22 ex_fr_female$Type: Predicted Year: 2000 Ex: 61.669975","Age: 22 ex_fr_female$Type: Predicted Year: 2001 Ex: 61.823129","Age: 22 ex_fr_female$Type: Predicted Year: 2002 Ex: 61.873361","Age: 22 ex_fr_female$Type: Predicted Year: 2003 Ex: 61.751907","Age: 22 ex_fr_female$Type: Predicted Year: 2004 Ex: 62.645295","Age: 22 ex_fr_female$Type: Predicted Year: 2005 Ex: 62.576911","Age: 22 ex_fr_female$Type: Predicted Year: 2006 Ex: 62.931660","Age: 22 ex_fr_female$Type: Predicted Year: 2007 Ex: 63.103490","Age: 22 ex_fr_female$Type: Predicted Year: 2008 Ex: 63.065778","Age: 22 ex_fr_female$Type: Predicted Year: 2009 Ex: 63.167975","Age: 22 ex_fr_female$Type: Predicted Year: 2010 Ex: 63.377813","Age: 22 ex_fr_female$Type: Predicted Year: 2011 Ex: 63.699474","Age: 22 ex_fr_female$Type: Predicted Year: 2012 Ex: 63.551353","Age: 22 ex_fr_female$Type: Predicted Year: 2013 Ex: 63.759792","Age: 22 ex_fr_female$Type: Predicted Year: 2014 Ex: 64.129035","Age: 22 ex_fr_female$Type: Predicted Year: 2015 Ex: 63.857524","Age: 22 ex_fr_female$Type: Predicted Year: 2016 Ex: 64.026786","Age: 22 ex_fr_female$Type: Predicted Year: 2017 Ex: 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38.820000","Age: 23 ex_fr_female$Type: Observed Year: 1832 Ex: 34.910000","Age: 23 ex_fr_female$Type: Observed Year: 1833 Ex: 38.110000","Age: 23 ex_fr_female$Type: Observed Year: 1834 Ex: 37.130000","Age: 23 ex_fr_female$Type: Observed Year: 1835 Ex: 38.190000","Age: 23 ex_fr_female$Type: Observed Year: 1836 Ex: 39.360000","Age: 23 ex_fr_female$Type: Observed Year: 1837 Ex: 37.090000","Age: 23 ex_fr_female$Type: Observed Year: 1838 Ex: 38.420000","Age: 23 ex_fr_female$Type: Observed Year: 1839 Ex: 39.100000","Age: 23 ex_fr_female$Type: Observed Year: 1840 Ex: 38.280000","Age: 23 ex_fr_female$Type: Observed Year: 1841 Ex: 39.220000","Age: 23 ex_fr_female$Type: Observed Year: 1842 Ex: 38.500000","Age: 23 ex_fr_female$Type: Observed Year: 1843 Ex: 39.070000","Age: 23 ex_fr_female$Type: Observed Year: 1844 Ex: 39.400000","Age: 23 ex_fr_female$Type: Observed Year: 1845 Ex: 39.910000","Age: 23 ex_fr_female$Type: Observed Year: 1846 Ex: 39.080000","Age: 23 ex_fr_female$Type: Observed Year: 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41.130000","Age: 23 ex_fr_female$Type: Observed Year: 1895 Ex: 40.670000","Age: 23 ex_fr_female$Type: Observed Year: 1896 Ex: 41.720000","Age: 23 ex_fr_female$Type: Observed Year: 1897 Ex: 42.340000","Age: 23 ex_fr_female$Type: Observed Year: 1898 Ex: 41.500000","Age: 23 ex_fr_female$Type: Observed Year: 1899 Ex: 41.290000","Age: 23 ex_fr_female$Type: Observed Year: 1900 Ex: 40.380000","Age: 23 ex_fr_female$Type: Observed Year: 1901 Ex: 41.480000","Age: 23 ex_fr_female$Type: Observed Year: 1902 Ex: 41.830000","Age: 23 ex_fr_female$Type: Observed Year: 1903 Ex: 42.030000","Age: 23 ex_fr_female$Type: Observed Year: 1904 Ex: 42.070000","Age: 23 ex_fr_female$Type: Observed Year: 1905 Ex: 41.690000","Age: 23 ex_fr_female$Type: Observed Year: 1906 Ex: 41.710000","Age: 23 ex_fr_female$Type: Observed Year: 1907 Ex: 41.230000","Age: 23 ex_fr_female$Type: Observed Year: 1908 Ex: 42.180000","Age: 23 ex_fr_female$Type: Observed Year: 1909 Ex: 41.910000","Age: 23 ex_fr_female$Type: Observed Year: 1910 Ex: 42.950000","Age: 23 ex_fr_female$Type: Observed Year: 1911 Ex: 42.330000","Age: 23 ex_fr_female$Type: Observed Year: 1912 Ex: 43.170000","Age: 23 ex_fr_female$Type: Observed Year: 1913 Ex: 43.260000","Age: 23 ex_fr_female$Type: Observed Year: 1914 Ex: 42.540000","Age: 23 ex_fr_female$Type: Observed Year: 1915 Ex: 42.540000","Age: 23 ex_fr_female$Type: Observed Year: 1916 Ex: 43.150000","Age: 23 ex_fr_female$Type: Observed Year: 1917 Ex: 43.110000","Age: 23 ex_fr_female$Type: Observed Year: 1918 Ex: 37.340000","Age: 23 ex_fr_female$Type: Observed Year: 1919 Ex: 41.860000","Age: 23 ex_fr_female$Type: Observed Year: 1920 Ex: 43.750000","Age: 23 ex_fr_female$Type: Observed Year: 1921 Ex: 43.970000","Age: 23 ex_fr_female$Type: Observed Year: 1922 Ex: 43.650000","Age: 23 ex_fr_female$Type: Observed Year: 1923 Ex: 44.540000","Age: 23 ex_fr_female$Type: Observed Year: 1924 Ex: 44.230000","Age: 23 ex_fr_female$Type: Observed Year: 1925 Ex: 44.130000","Age: 23 ex_fr_female$Type: Observed Year: 1926 Ex: 44.140000","Age: 23 ex_fr_female$Type: Observed Year: 1927 Ex: 44.770000","Age: 23 ex_fr_female$Type: Observed Year: 1928 Ex: 45.060000","Age: 23 ex_fr_female$Type: Observed Year: 1929 Ex: 44.040000","Age: 23 ex_fr_female$Type: Observed Year: 1930 Ex: 45.590000","Age: 23 ex_fr_female$Type: Observed Year: 1931 Ex: 45.090000","Age: 23 ex_fr_female$Type: Observed Year: 1932 Ex: 45.570000","Age: 23 ex_fr_female$Type: Observed Year: 1933 Ex: 45.620000","Age: 23 ex_fr_female$Type: Observed Year: 1934 Ex: 46.350000","Age: 23 ex_fr_female$Type: Observed Year: 1935 Ex: 45.800000","Age: 23 ex_fr_female$Type: Observed Year: 1936 Ex: 46.340000","Age: 23 ex_fr_female$Type: Observed Year: 1937 Ex: 46.670000","Age: 23 ex_fr_female$Type: Observed Year: 1938 Ex: 46.470000","Age: 23 ex_fr_female$Type: Observed Year: 1939 Ex: 46.660000","Age: 23 ex_fr_female$Type: Observed Year: 1940 Ex: 44.850000","Age: 23 ex_fr_female$Type: Observed Year: 1941 Ex: 46.150000","Age: 23 ex_fr_female$Type: Observed Year: 1942 Ex: 46.360000","Age: 23 ex_fr_female$Type: Observed Year: 1943 Ex: 44.210000","Age: 23 ex_fr_female$Type: Observed Year: 1944 Ex: 40.180000","Age: 23 ex_fr_female$Type: Observed Year: 1945 Ex: 46.070000","Age: 23 ex_fr_female$Type: Observed Year: 1946 Ex: 49.550000","Age: 23 ex_fr_female$Type: Observed Year: 1947 Ex: 50.150000","Age: 23 ex_fr_female$Type: Observed Year: 1948 Ex: 50.880000","Age: 23 ex_fr_female$Type: Observed Year: 1949 Ex: 49.910000","Age: 23 ex_fr_female$Type: Observed Year: 1950 Ex: 50.790000","Age: 23 ex_fr_female$Type: Observed Year: 1951 Ex: 50.360000","Age: 23 ex_fr_female$Type: Observed Year: 1952 Ex: 51.350000","Age: 23 ex_fr_female$Type: Observed Year: 1953 Ex: 50.890000","Age: 23 ex_fr_female$Type: Observed Year: 1954 Ex: 51.840000","Age: 23 ex_fr_female$Type: Observed Year: 1955 Ex: 51.970000","Age: 23 ex_fr_female$Type: Observed Year: 1956 Ex: 51.830000","Age: 23 ex_fr_female$Type: Observed Year: 1957 Ex: 52.310000","Age: 23 ex_fr_female$Type: Observed Year: 1958 Ex: 53.100000","Age: 23 ex_fr_female$Type: Observed Year: 1959 Ex: 53.140000","Age: 23 ex_fr_female$Type: Observed Year: 1960 Ex: 53.130000","Age: 23 ex_fr_female$Type: Observed Year: 1961 Ex: 53.810000","Age: 23 ex_fr_female$Type: Observed Year: 1962 Ex: 53.300000","Age: 23 ex_fr_female$Type: Observed Year: 1963 Ex: 53.220000","Age: 23 ex_fr_female$Type: Observed Year: 1964 Ex: 54.070000","Age: 23 ex_fr_female$Type: Observed Year: 1965 Ex: 53.840000","Age: 23 ex_fr_female$Type: Observed Year: 1966 Ex: 54.260000","Age: 23 ex_fr_female$Type: Observed Year: 1967 Ex: 54.240000","Age: 23 ex_fr_female$Type: Observed Year: 1968 Ex: 54.280000","Age: 23 ex_fr_female$Type: Observed Year: 1969 Ex: 54.060000","Age: 23 ex_fr_female$Type: Observed Year: 1970 Ex: 54.710000","Age: 23 ex_fr_female$Type: Observed Year: 1971 Ex: 54.730000","Age: 23 ex_fr_female$Type: Observed Year: 1972 Ex: 54.960000","Age: 23 ex_fr_female$Type: Observed Year: 1973 Ex: 55.040000","Age: 23 ex_fr_female$Type: Observed Year: 1974 Ex: 55.350000","Age: 23 ex_fr_female$Type: Observed Year: 1975 Ex: 55.400000","Age: 23 ex_fr_female$Type: Observed Year: 1976 Ex: 55.670000","Age: 23 ex_fr_female$Type: Observed Year: 1977 Ex: 56.250000","Age: 23 ex_fr_female$Type: Observed Year: 1978 Ex: 56.280000","Age: 23 ex_fr_female$Type: Observed Year: 1979 Ex: 56.570000","Age: 23 ex_fr_female$Type: Observed Year: 1980 Ex: 56.690000","Age: 23 ex_fr_female$Type: Observed Year: 1981 Ex: 56.740000","Age: 23 ex_fr_female$Type: Observed Year: 1982 Ex: 57.090000","Age: 23 ex_fr_female$Type: Observed Year: 1983 Ex: 56.980000","Age: 23 ex_fr_female$Type: Observed Year: 1984 Ex: 57.460000","Age: 23 ex_fr_female$Type: Observed Year: 1985 Ex: 57.510000","Age: 23 ex_fr_female$Type: Observed Year: 1986 Ex: 57.760000","Age: 23 ex_fr_female$Type: Observed Year: 1987 Ex: 58.270000","Age: 23 ex_fr_female$Type: Observed Year: 1988 Ex: 58.470000","Age: 23 ex_fr_female$Type: Observed Year: 1989 Ex: 58.630000","Age: 23 ex_fr_female$Type: Observed Year: 1990 Ex: 58.880000","Age: 23 ex_fr_female$Type: Observed Year: 1991 Ex: 59.090000","Age: 23 ex_fr_female$Type: Observed Year: 1992 Ex: 59.310000","Age: 23 ex_fr_female$Type: Observed Year: 1993 Ex: 59.290000","Age: 23 ex_fr_female$Type: Observed Year: 1994 Ex: 59.670000","Age: 23 ex_fr_female$Type: Observed Year: 1995 Ex: 59.640000","Age: 23 ex_fr_female$Type: Observed Year: 1996 Ex: 59.730000","Age: 23 ex_fr_female$Type: Observed Year: 1997 Ex: 59.990000","Age: 23 ex_fr_female$Type: Observed Year: 1998 Ex: 60.080000","Age: 23 ex_fr_female$Type: Observed Year: 1999 Ex: 60.160000","Age: 23 ex_fr_female$Type: Observed Year: 2000 Ex: 60.440000","Age: 23 ex_fr_female$Type: Observed Year: 2001 Ex: 60.590000","Age: 23 ex_fr_female$Type: Observed Year: 2002 Ex: 60.650000","Age: 23 ex_fr_female$Type: Observed Year: 2003 Ex: 60.520000","Age: 23 ex_fr_female$Type: Observed Year: 2004 Ex: 61.410000","Age: 23 ex_fr_female$Type: Observed Year: 2005 Ex: 61.340000","Age: 23 ex_fr_female$Type: Observed Year: 2006 Ex: 61.700000","Age: 23 ex_fr_female$Type: Observed Year: 2007 Ex: 61.860000","Age: 23 ex_fr_female$Type: Observed Year: 2008 Ex: 61.830000","Age: 23 ex_fr_female$Type: Observed Year: 2009 Ex: 61.930000","Age: 23 ex_fr_female$Type: Observed Year: 2010 Ex: 62.140000","Age: 23 ex_fr_female$Type: Observed Year: 2011 Ex: 62.460000","Age: 23 ex_fr_female$Type: Observed Year: 2012 Ex: 62.320000","Age: 23 ex_fr_female$Type: Observed Year: 2013 Ex: 62.520000","Age: 23 ex_fr_female$Type: Observed Year: 2014 Ex: 62.890000","Age: 23 ex_fr_female$Type: Observed Year: 2015 Ex: 62.620000","Age: 23 ex_fr_female$Type: Observed Year: 2016 Ex: 62.790000","Age: 23 ex_fr_female$Type: Observed Year: 2017 Ex: 62.760000"],"frame":"23","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[38.5822559325065,38.4580270351114,38.1796355923632,38.1996858407416,38.3492319094109,39.4310811761689,39.3434211133994,39.895517211703,39.8155636873626,39.1535030903689,38.4513973084909,38.7375591659905,38.4896424436411,38.5192807080537,38.5770805936101,39.0786393054992,35.1766979552499,38.3733253679786,37.3865697144684,38.4442356139174,39.6115671876372,37.3447526134959,38.6802931722367,39.3539663407816,38.5356049509674,39.4760654280513,38.7553363773215,39.3269399769194,39.6568120756903,40.1687702513977,39.3295260790626,38.0840346195462,38.3883850644733,35.6327815160454,39.7967815268303,39.6317305813527,39.4198876476725,39.2954265550249,35.4875098215304,37.6194314157881,39.3320172380251,38.8957244715427,38.324842517527,38.179440663617,40.132994902925,39.8264648440882,40.2762575655426,40.0228134190561,39.5565261309315,38.9106410396324,38.912423857122,39.9147636762682,39.435218713389,39.5132040790003,37.002886508492,33.4761274808491,40.334961323881,39.7699217607543,40.6222383561909,39.6165729072805,40.1470403426361,40.6174109438787,40.2403284917325,40.0105847014151,40.1293502721742,40.5346592704886,40.372455844369,40.3477448589491,40.3667132078767,40.5273693427829,40.3159794930161,40.4208400277712,41.0566464001083,41.5893615828993,40.5409610581319,40.3542212469111,40.6029627056678,40.6273423986183,41.3804405579537,40.9176501807267,41.9674071162965,42.5870356158022,41.7465065544436,41.5380236780706,40.6323580714144,41.729697286473,42.0812158548334,42.2754209726237,42.3160885427626,41.9312566482442,41.9509390572429,41.4791574463005,42.4245679360967,42.1593868454153,43.197498325213,42.5709046804216,43.4131589908805,43.5107891863928,42.7887643966261,42.7882708436586,43.3927745942638,43.3511218814536,37.5936078651367,42.1042778376989,43.9937614483565,44.2130136971164,43.8916805058842,44.7872460036636,44.4722193292465,44.3736036993643,44.3892698582286,45.0135616166151,45.3042971141124,44.2864422159362,45.8360325585723,45.3372293814623,45.8104868803585,45.8614297539866,46.5918191310351,46.0478724421068,46.5912416402247,46.9126887487288,46.7108737741048,46.9010614809963,45.0903440512993,46.3928430842189,46.6061748016265,44.4529824415546,40.4310385503904,46.3173324498992,49.7977702133719,50.3987227138091,51.1311198192259,50.1610899023174,51.0448324396456,50.6065269925316,51.605782630825,51.1371146977803,52.0898358259938,52.2207392975053,52.0870000454658,52.5646874616928,53.3538983497858,53.3932976787355,53.3847857535686,54.0596772727184,53.5528049588179,53.476264856547,54.3217028039527,54.0955596826807,54.5163026763328,54.4984288438005,54.5309912418628,54.3107229407509,54.9679661522289,54.9841284353243,55.2161592584265,55.2922003837698,55.6089189860089,55.65200969589,55.9207057016426,56.5026759183235,56.5325517704758,56.8245799064644,56.9419542283738,56.9948906628863,57.343235020028,57.2359824990763,57.7109771801035,57.7682635295851,58.0146037374395,58.5192731591867,58.7217716679328,58.8804644298004,59.1317980026211,59.3478760166591,59.5592755933511,59.5465346463793,59.9196038429393,59.8885554094661,59.9845075206837,60.2406167216029,60.3355746666601,60.4107140694855,60.6883288162073,60.842142336317,60.8985292437359,60.7702856629736,61.660833609643,61.5936741783152,61.9491429453605,62.1147597533659,62.0832984923182,62.1830172689473,62.3922765809231,62.7165401460126,62.567118041142,62.7730777706664,63.1404897070117,62.8689293725803,63.0413985615798,63.0113379899268],"text":["Age: 23 ex_fr_female$Type: Predicted Year: 1816 Ex: 38.582256","Age: 23 ex_fr_female$Type: Predicted Year: 1817 Ex: 38.458027","Age: 23 ex_fr_female$Type: Predicted Year: 1818 Ex: 38.179636","Age: 23 ex_fr_female$Type: Predicted Year: 1819 Ex: 38.199686","Age: 23 ex_fr_female$Type: Predicted Year: 1820 Ex: 38.349232","Age: 23 ex_fr_female$Type: Predicted Year: 1821 Ex: 39.431081","Age: 23 ex_fr_female$Type: Predicted Year: 1822 Ex: 39.343421","Age: 23 ex_fr_female$Type: Predicted Year: 1823 Ex: 39.895517","Age: 23 ex_fr_female$Type: Predicted Year: 1824 Ex: 39.815564","Age: 23 ex_fr_female$Type: Predicted Year: 1825 Ex: 39.153503","Age: 23 ex_fr_female$Type: Predicted Year: 1826 Ex: 38.451397","Age: 23 ex_fr_female$Type: Predicted Year: 1827 Ex: 38.737559","Age: 23 ex_fr_female$Type: Predicted Year: 1828 Ex: 38.489642","Age: 23 ex_fr_female$Type: Predicted Year: 1829 Ex: 38.519281","Age: 23 ex_fr_female$Type: Predicted Year: 1830 Ex: 38.577081","Age: 23 ex_fr_female$Type: Predicted Year: 1831 Ex: 39.078639","Age: 23 ex_fr_female$Type: Predicted Year: 1832 Ex: 35.176698","Age: 23 ex_fr_female$Type: Predicted Year: 1833 Ex: 38.373325","Age: 23 ex_fr_female$Type: Predicted Year: 1834 Ex: 37.386570","Age: 23 ex_fr_female$Type: Predicted Year: 1835 Ex: 38.444236","Age: 23 ex_fr_female$Type: Predicted Year: 1836 Ex: 39.611567","Age: 23 ex_fr_female$Type: Predicted Year: 1837 Ex: 37.344753","Age: 23 ex_fr_female$Type: Predicted Year: 1838 Ex: 38.680293","Age: 23 ex_fr_female$Type: Predicted Year: 1839 Ex: 39.353966","Age: 23 ex_fr_female$Type: Predicted Year: 1840 Ex: 38.535605","Age: 23 ex_fr_female$Type: Predicted Year: 1841 Ex: 39.476065","Age: 23 ex_fr_female$Type: Predicted Year: 1842 Ex: 38.755336","Age: 23 ex_fr_female$Type: Predicted Year: 1843 Ex: 39.326940","Age: 23 ex_fr_female$Type: Predicted Year: 1844 Ex: 39.656812","Age: 23 ex_fr_female$Type: Predicted Year: 1845 Ex: 40.168770","Age: 23 ex_fr_female$Type: Predicted Year: 1846 Ex: 39.329526","Age: 23 ex_fr_female$Type: Predicted Year: 1847 Ex: 38.084035","Age: 23 ex_fr_female$Type: Predicted Year: 1848 Ex: 38.388385","Age: 23 ex_fr_female$Type: Predicted Year: 1849 Ex: 35.632782","Age: 23 ex_fr_female$Type: Predicted Year: 1850 Ex: 39.796782","Age: 23 ex_fr_female$Type: Predicted Year: 1851 Ex: 39.631731","Age: 23 ex_fr_female$Type: Predicted Year: 1852 Ex: 39.419888","Age: 23 ex_fr_female$Type: Predicted Year: 1853 Ex: 39.295427","Age: 23 ex_fr_female$Type: Predicted Year: 1854 Ex: 35.487510","Age: 23 ex_fr_female$Type: Predicted Year: 1855 Ex: 37.619431","Age: 23 ex_fr_female$Type: Predicted Year: 1856 Ex: 39.332017","Age: 23 ex_fr_female$Type: Predicted Year: 1857 Ex: 38.895724","Age: 23 ex_fr_female$Type: Predicted Year: 1858 Ex: 38.324843","Age: 23 ex_fr_female$Type: Predicted Year: 1859 Ex: 38.179441","Age: 23 ex_fr_female$Type: Predicted Year: 1860 Ex: 40.132995","Age: 23 ex_fr_female$Type: Predicted Year: 1861 Ex: 39.826465","Age: 23 ex_fr_female$Type: Predicted Year: 1862 Ex: 40.276258","Age: 23 ex_fr_female$Type: Predicted Year: 1863 Ex: 40.022813","Age: 23 ex_fr_female$Type: Predicted Year: 1864 Ex: 39.556526","Age: 23 ex_fr_female$Type: Predicted Year: 1865 Ex: 38.910641","Age: 23 ex_fr_female$Type: Predicted Year: 1866 Ex: 38.912424","Age: 23 ex_fr_female$Type: Predicted Year: 1867 Ex: 39.914764","Age: 23 ex_fr_female$Type: Predicted Year: 1868 Ex: 39.435219","Age: 23 ex_fr_female$Type: Predicted Year: 1869 Ex: 39.513204","Age: 23 ex_fr_female$Type: Predicted Year: 1870 Ex: 37.002887","Age: 23 ex_fr_female$Type: Predicted Year: 1871 Ex: 33.476127","Age: 23 ex_fr_female$Type: Predicted Year: 1872 Ex: 40.334961","Age: 23 ex_fr_female$Type: Predicted Year: 1873 Ex: 39.769922","Age: 23 ex_fr_female$Type: Predicted Year: 1874 Ex: 40.622238","Age: 23 ex_fr_female$Type: Predicted Year: 1875 Ex: 39.616573","Age: 23 ex_fr_female$Type: Predicted Year: 1876 Ex: 40.147040","Age: 23 ex_fr_female$Type: Predicted Year: 1877 Ex: 40.617411","Age: 23 ex_fr_female$Type: Predicted Year: 1878 Ex: 40.240328","Age: 23 ex_fr_female$Type: Predicted Year: 1879 Ex: 40.010585","Age: 23 ex_fr_female$Type: Predicted Year: 1880 Ex: 40.129350","Age: 23 ex_fr_female$Type: Predicted Year: 1881 Ex: 40.534659","Age: 23 ex_fr_female$Type: Predicted Year: 1882 Ex: 40.372456","Age: 23 ex_fr_female$Type: Predicted Year: 1883 Ex: 40.347745","Age: 23 ex_fr_female$Type: Predicted Year: 1884 Ex: 40.366713","Age: 23 ex_fr_female$Type: Predicted Year: 1885 Ex: 40.527369","Age: 23 ex_fr_female$Type: Predicted Year: 1886 Ex: 40.315979","Age: 23 ex_fr_female$Type: Predicted Year: 1887 Ex: 40.420840","Age: 23 ex_fr_female$Type: Predicted Year: 1888 Ex: 41.056646","Age: 23 ex_fr_female$Type: Predicted Year: 1889 Ex: 41.589362","Age: 23 ex_fr_female$Type: Predicted Year: 1890 Ex: 40.540961","Age: 23 ex_fr_female$Type: Predicted Year: 1891 Ex: 40.354221","Age: 23 ex_fr_female$Type: Predicted Year: 1892 Ex: 40.602963","Age: 23 ex_fr_female$Type: Predicted Year: 1893 Ex: 40.627342","Age: 23 ex_fr_female$Type: Predicted Year: 1894 Ex: 41.380441","Age: 23 ex_fr_female$Type: Predicted Year: 1895 Ex: 40.917650","Age: 23 ex_fr_female$Type: Predicted Year: 1896 Ex: 41.967407","Age: 23 ex_fr_female$Type: Predicted Year: 1897 Ex: 42.587036","Age: 23 ex_fr_female$Type: Predicted Year: 1898 Ex: 41.746507","Age: 23 ex_fr_female$Type: Predicted Year: 1899 Ex: 41.538024","Age: 23 ex_fr_female$Type: Predicted Year: 1900 Ex: 40.632358","Age: 23 ex_fr_female$Type: Predicted Year: 1901 Ex: 41.729697","Age: 23 ex_fr_female$Type: Predicted Year: 1902 Ex: 42.081216","Age: 23 ex_fr_female$Type: Predicted Year: 1903 Ex: 42.275421","Age: 23 ex_fr_female$Type: Predicted Year: 1904 Ex: 42.316089","Age: 23 ex_fr_female$Type: Predicted Year: 1905 Ex: 41.931257","Age: 23 ex_fr_female$Type: Predicted Year: 1906 Ex: 41.950939","Age: 23 ex_fr_female$Type: Predicted Year: 1907 Ex: 41.479157","Age: 23 ex_fr_female$Type: Predicted Year: 1908 Ex: 42.424568","Age: 23 ex_fr_female$Type: Predicted Year: 1909 Ex: 42.159387","Age: 23 ex_fr_female$Type: Predicted Year: 1910 Ex: 43.197498","Age: 23 ex_fr_female$Type: Predicted Year: 1911 Ex: 42.570905","Age: 23 ex_fr_female$Type: Predicted Year: 1912 Ex: 43.413159","Age: 23 ex_fr_female$Type: Predicted Year: 1913 Ex: 43.510789","Age: 23 ex_fr_female$Type: Predicted Year: 1914 Ex: 42.788764","Age: 23 ex_fr_female$Type: Predicted Year: 1915 Ex: 42.788271","Age: 23 ex_fr_female$Type: Predicted Year: 1916 Ex: 43.392775","Age: 23 ex_fr_female$Type: Predicted Year: 1917 Ex: 43.351122","Age: 23 ex_fr_female$Type: Predicted Year: 1918 Ex: 37.593608","Age: 23 ex_fr_female$Type: Predicted Year: 1919 Ex: 42.104278","Age: 23 ex_fr_female$Type: Predicted Year: 1920 Ex: 43.993761","Age: 23 ex_fr_female$Type: Predicted Year: 1921 Ex: 44.213014","Age: 23 ex_fr_female$Type: Predicted Year: 1922 Ex: 43.891681","Age: 23 ex_fr_female$Type: Predicted Year: 1923 Ex: 44.787246","Age: 23 ex_fr_female$Type: Predicted Year: 1924 Ex: 44.472219","Age: 23 ex_fr_female$Type: Predicted Year: 1925 Ex: 44.373604","Age: 23 ex_fr_female$Type: Predicted Year: 1926 Ex: 44.389270","Age: 23 ex_fr_female$Type: Predicted Year: 1927 Ex: 45.013562","Age: 23 ex_fr_female$Type: Predicted Year: 1928 Ex: 45.304297","Age: 23 ex_fr_female$Type: Predicted Year: 1929 Ex: 44.286442","Age: 23 ex_fr_female$Type: Predicted Year: 1930 Ex: 45.836033","Age: 23 ex_fr_female$Type: Predicted Year: 1931 Ex: 45.337229","Age: 23 ex_fr_female$Type: Predicted Year: 1932 Ex: 45.810487","Age: 23 ex_fr_female$Type: Predicted Year: 1933 Ex: 45.861430","Age: 23 ex_fr_female$Type: Predicted Year: 1934 Ex: 46.591819","Age: 23 ex_fr_female$Type: Predicted Year: 1935 Ex: 46.047872","Age: 23 ex_fr_female$Type: Predicted Year: 1936 Ex: 46.591242","Age: 23 ex_fr_female$Type: Predicted Year: 1937 Ex: 46.912689","Age: 23 ex_fr_female$Type: Predicted Year: 1938 Ex: 46.710874","Age: 23 ex_fr_female$Type: Predicted Year: 1939 Ex: 46.901061","Age: 23 ex_fr_female$Type: Predicted Year: 1940 Ex: 45.090344","Age: 23 ex_fr_female$Type: Predicted Year: 1941 Ex: 46.392843","Age: 23 ex_fr_female$Type: Predicted Year: 1942 Ex: 46.606175","Age: 23 ex_fr_female$Type: Predicted Year: 1943 Ex: 44.452982","Age: 23 ex_fr_female$Type: Predicted Year: 1944 Ex: 40.431039","Age: 23 ex_fr_female$Type: Predicted Year: 1945 Ex: 46.317332","Age: 23 ex_fr_female$Type: Predicted Year: 1946 Ex: 49.797770","Age: 23 ex_fr_female$Type: Predicted Year: 1947 Ex: 50.398723","Age: 23 ex_fr_female$Type: Predicted Year: 1948 Ex: 51.131120","Age: 23 ex_fr_female$Type: Predicted Year: 1949 Ex: 50.161090","Age: 23 ex_fr_female$Type: Predicted Year: 1950 Ex: 51.044832","Age: 23 ex_fr_female$Type: Predicted Year: 1951 Ex: 50.606527","Age: 23 ex_fr_female$Type: Predicted Year: 1952 Ex: 51.605783","Age: 23 ex_fr_female$Type: Predicted Year: 1953 Ex: 51.137115","Age: 23 ex_fr_female$Type: Predicted Year: 1954 Ex: 52.089836","Age: 23 ex_fr_female$Type: Predicted Year: 1955 Ex: 52.220739","Age: 23 ex_fr_female$Type: Predicted Year: 1956 Ex: 52.087000","Age: 23 ex_fr_female$Type: Predicted Year: 1957 Ex: 52.564687","Age: 23 ex_fr_female$Type: Predicted Year: 1958 Ex: 53.353898","Age: 23 ex_fr_female$Type: Predicted Year: 1959 Ex: 53.393298","Age: 23 ex_fr_female$Type: Predicted Year: 1960 Ex: 53.384786","Age: 23 ex_fr_female$Type: Predicted Year: 1961 Ex: 54.059677","Age: 23 ex_fr_female$Type: Predicted Year: 1962 Ex: 53.552805","Age: 23 ex_fr_female$Type: Predicted Year: 1963 Ex: 53.476265","Age: 23 ex_fr_female$Type: Predicted Year: 1964 Ex: 54.321703","Age: 23 ex_fr_female$Type: Predicted Year: 1965 Ex: 54.095560","Age: 23 ex_fr_female$Type: Predicted Year: 1966 Ex: 54.516303","Age: 23 ex_fr_female$Type: Predicted Year: 1967 Ex: 54.498429","Age: 23 ex_fr_female$Type: Predicted Year: 1968 Ex: 54.530991","Age: 23 ex_fr_female$Type: Predicted Year: 1969 Ex: 54.310723","Age: 23 ex_fr_female$Type: Predicted Year: 1970 Ex: 54.967966","Age: 23 ex_fr_female$Type: Predicted Year: 1971 Ex: 54.984128","Age: 23 ex_fr_female$Type: Predicted Year: 1972 Ex: 55.216159","Age: 23 ex_fr_female$Type: Predicted Year: 1973 Ex: 55.292200","Age: 23 ex_fr_female$Type: Predicted Year: 1974 Ex: 55.608919","Age: 23 ex_fr_female$Type: Predicted Year: 1975 Ex: 55.652010","Age: 23 ex_fr_female$Type: Predicted Year: 1976 Ex: 55.920706","Age: 23 ex_fr_female$Type: Predicted Year: 1977 Ex: 56.502676","Age: 23 ex_fr_female$Type: Predicted Year: 1978 Ex: 56.532552","Age: 23 ex_fr_female$Type: Predicted Year: 1979 Ex: 56.824580","Age: 23 ex_fr_female$Type: Predicted Year: 1980 Ex: 56.941954","Age: 23 ex_fr_female$Type: Predicted Year: 1981 Ex: 56.994891","Age: 23 ex_fr_female$Type: Predicted Year: 1982 Ex: 57.343235","Age: 23 ex_fr_female$Type: Predicted Year: 1983 Ex: 57.235982","Age: 23 ex_fr_female$Type: Predicted Year: 1984 Ex: 57.710977","Age: 23 ex_fr_female$Type: Predicted Year: 1985 Ex: 57.768264","Age: 23 ex_fr_female$Type: Predicted Year: 1986 Ex: 58.014604","Age: 23 ex_fr_female$Type: Predicted Year: 1987 Ex: 58.519273","Age: 23 ex_fr_female$Type: Predicted Year: 1988 Ex: 58.721772","Age: 23 ex_fr_female$Type: Predicted Year: 1989 Ex: 58.880464","Age: 23 ex_fr_female$Type: Predicted Year: 1990 Ex: 59.131798","Age: 23 ex_fr_female$Type: Predicted Year: 1991 Ex: 59.347876","Age: 23 ex_fr_female$Type: Predicted Year: 1992 Ex: 59.559276","Age: 23 ex_fr_female$Type: Predicted Year: 1993 Ex: 59.546535","Age: 23 ex_fr_female$Type: Predicted Year: 1994 Ex: 59.919604","Age: 23 ex_fr_female$Type: Predicted Year: 1995 Ex: 59.888555","Age: 23 ex_fr_female$Type: Predicted Year: 1996 Ex: 59.984508","Age: 23 ex_fr_female$Type: Predicted Year: 1997 Ex: 60.240617","Age: 23 ex_fr_female$Type: Predicted Year: 1998 Ex: 60.335575","Age: 23 ex_fr_female$Type: Predicted Year: 1999 Ex: 60.410714","Age: 23 ex_fr_female$Type: Predicted Year: 2000 Ex: 60.688329","Age: 23 ex_fr_female$Type: Predicted Year: 2001 Ex: 60.842142","Age: 23 ex_fr_female$Type: Predicted Year: 2002 Ex: 60.898529","Age: 23 ex_fr_female$Type: Predicted Year: 2003 Ex: 60.770286","Age: 23 ex_fr_female$Type: Predicted Year: 2004 Ex: 61.660834","Age: 23 ex_fr_female$Type: Predicted Year: 2005 Ex: 61.593674","Age: 23 ex_fr_female$Type: Predicted Year: 2006 Ex: 61.949143","Age: 23 ex_fr_female$Type: Predicted Year: 2007 Ex: 62.114760","Age: 23 ex_fr_female$Type: Predicted Year: 2008 Ex: 62.083298","Age: 23 ex_fr_female$Type: Predicted Year: 2009 Ex: 62.183017","Age: 23 ex_fr_female$Type: Predicted Year: 2010 Ex: 62.392277","Age: 23 ex_fr_female$Type: Predicted Year: 2011 Ex: 62.716540","Age: 23 ex_fr_female$Type: Predicted Year: 2012 Ex: 62.567118","Age: 23 ex_fr_female$Type: Predicted Year: 2013 Ex: 62.773078","Age: 23 ex_fr_female$Type: Predicted Year: 2014 Ex: 63.140490","Age: 23 ex_fr_female$Type: Predicted Year: 2015 Ex: 62.868929","Age: 23 ex_fr_female$Type: Predicted Year: 2016 Ex: 63.041399","Age: 23 ex_fr_female$Type: Predicted Year: 2017 Ex: 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1910 Ex: 42.210000","Age: 24 ex_fr_female$Type: Observed Year: 1911 Ex: 41.590000","Age: 24 ex_fr_female$Type: Observed Year: 1912 Ex: 42.430000","Age: 24 ex_fr_female$Type: Observed Year: 1913 Ex: 42.510000","Age: 24 ex_fr_female$Type: Observed Year: 1914 Ex: 41.780000","Age: 24 ex_fr_female$Type: Observed Year: 1915 Ex: 41.800000","Age: 24 ex_fr_female$Type: Observed Year: 1916 Ex: 42.370000","Age: 24 ex_fr_female$Type: Observed Year: 1917 Ex: 42.360000","Age: 24 ex_fr_female$Type: Observed Year: 1918 Ex: 36.820000","Age: 24 ex_fr_female$Type: Observed Year: 1919 Ex: 41.170000","Age: 24 ex_fr_female$Type: Observed Year: 1920 Ex: 43.030000","Age: 24 ex_fr_female$Type: Observed Year: 1921 Ex: 43.220000","Age: 24 ex_fr_female$Type: Observed Year: 1922 Ex: 42.910000","Age: 24 ex_fr_female$Type: Observed Year: 1923 Ex: 43.780000","Age: 24 ex_fr_female$Type: Observed Year: 1924 Ex: 43.460000","Age: 24 ex_fr_female$Type: Observed Year: 1925 Ex: 43.380000","Age: 24 ex_fr_female$Type: Observed Year: 1926 Ex: 43.410000","Age: 24 ex_fr_female$Type: Observed Year: 1927 Ex: 44.020000","Age: 24 ex_fr_female$Type: Observed Year: 1928 Ex: 44.300000","Age: 24 ex_fr_female$Type: Observed Year: 1929 Ex: 43.280000","Age: 24 ex_fr_female$Type: Observed Year: 1930 Ex: 44.820000","Age: 24 ex_fr_female$Type: Observed Year: 1931 Ex: 44.320000","Age: 24 ex_fr_female$Type: Observed Year: 1932 Ex: 44.780000","Age: 24 ex_fr_female$Type: Observed Year: 1933 Ex: 44.810000","Age: 24 ex_fr_female$Type: Observed Year: 1934 Ex: 45.530000","Age: 24 ex_fr_female$Type: Observed Year: 1935 Ex: 45.000000","Age: 24 ex_fr_female$Type: Observed Year: 1936 Ex: 45.530000","Age: 24 ex_fr_female$Type: Observed Year: 1937 Ex: 45.850000","Age: 24 ex_fr_female$Type: Observed Year: 1938 Ex: 45.650000","Age: 24 ex_fr_female$Type: Observed Year: 1939 Ex: 45.840000","Age: 24 ex_fr_female$Type: Observed Year: 1940 Ex: 44.040000","Age: 24 ex_fr_female$Type: Observed Year: 1941 Ex: 45.340000","Age: 24 ex_fr_female$Type: Observed Year: 1942 Ex: 45.570000","Age: 24 ex_fr_female$Type: Observed Year: 1943 Ex: 43.650000","Age: 24 ex_fr_female$Type: Observed Year: 1944 Ex: 39.710000","Age: 24 ex_fr_female$Type: Observed Year: 1945 Ex: 45.310000","Age: 24 ex_fr_female$Type: Observed Year: 1946 Ex: 48.670000","Age: 24 ex_fr_female$Type: Observed Year: 1947 Ex: 49.260000","Age: 24 ex_fr_female$Type: Observed Year: 1948 Ex: 49.970000","Age: 24 ex_fr_female$Type: Observed Year: 1949 Ex: 48.990000","Age: 24 ex_fr_female$Type: Observed Year: 1950 Ex: 49.860000","Age: 24 ex_fr_female$Type: Observed Year: 1951 Ex: 49.430000","Age: 24 ex_fr_female$Type: Observed Year: 1952 Ex: 50.410000","Age: 24 ex_fr_female$Type: Observed Year: 1953 Ex: 49.930000","Age: 24 ex_fr_female$Type: Observed Year: 1954 Ex: 50.880000","Age: 24 ex_fr_female$Type: Observed Year: 1955 Ex: 51.010000","Age: 24 ex_fr_female$Type: Observed Year: 1956 Ex: 50.880000","Age: 24 ex_fr_female$Type: Observed Year: 1957 Ex: 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1973 Ex: 54.080000","Age: 24 ex_fr_female$Type: Observed Year: 1974 Ex: 54.390000","Age: 24 ex_fr_female$Type: Observed Year: 1975 Ex: 54.430000","Age: 24 ex_fr_female$Type: Observed Year: 1976 Ex: 54.700000","Age: 24 ex_fr_female$Type: Observed Year: 1977 Ex: 55.280000","Age: 24 ex_fr_female$Type: Observed Year: 1978 Ex: 55.310000","Age: 24 ex_fr_female$Type: Observed Year: 1979 Ex: 55.600000","Age: 24 ex_fr_female$Type: Observed Year: 1980 Ex: 55.720000","Age: 24 ex_fr_female$Type: Observed Year: 1981 Ex: 55.770000","Age: 24 ex_fr_female$Type: Observed Year: 1982 Ex: 56.120000","Age: 24 ex_fr_female$Type: Observed Year: 1983 Ex: 56.010000","Age: 24 ex_fr_female$Type: Observed Year: 1984 Ex: 56.490000","Age: 24 ex_fr_female$Type: Observed Year: 1985 Ex: 56.540000","Age: 24 ex_fr_female$Type: Observed Year: 1986 Ex: 56.790000","Age: 24 ex_fr_female$Type: Observed Year: 1987 Ex: 57.300000","Age: 24 ex_fr_female$Type: Observed Year: 1988 Ex: 57.500000","Age: 24 ex_fr_female$Type: Observed Year: 1989 Ex: 57.660000","Age: 24 ex_fr_female$Type: Observed Year: 1990 Ex: 57.910000","Age: 24 ex_fr_female$Type: Observed Year: 1991 Ex: 58.120000","Age: 24 ex_fr_female$Type: Observed Year: 1992 Ex: 58.330000","Age: 24 ex_fr_female$Type: Observed Year: 1993 Ex: 58.320000","Age: 24 ex_fr_female$Type: Observed Year: 1994 Ex: 58.690000","Age: 24 ex_fr_female$Type: Observed Year: 1995 Ex: 58.660000","Age: 24 ex_fr_female$Type: Observed Year: 1996 Ex: 58.760000","Age: 24 ex_fr_female$Type: Observed Year: 1997 Ex: 59.010000","Age: 24 ex_fr_female$Type: Observed Year: 1998 Ex: 59.110000","Age: 24 ex_fr_female$Type: Observed Year: 1999 Ex: 59.190000","Age: 24 ex_fr_female$Type: Observed Year: 2000 Ex: 59.460000","Age: 24 ex_fr_female$Type: Observed Year: 2001 Ex: 59.610000","Age: 24 ex_fr_female$Type: Observed Year: 2002 Ex: 59.660000","Age: 24 ex_fr_female$Type: Observed Year: 2003 Ex: 59.540000","Age: 24 ex_fr_female$Type: Observed Year: 2004 Ex: 60.430000","Age: 24 ex_fr_female$Type: Observed Year: 2005 Ex: 60.360000","Age: 24 ex_fr_female$Type: Observed Year: 2006 Ex: 60.710000","Age: 24 ex_fr_female$Type: Observed Year: 2007 Ex: 60.880000","Age: 24 ex_fr_female$Type: Observed Year: 2008 Ex: 60.850000","Age: 24 ex_fr_female$Type: Observed Year: 2009 Ex: 60.950000","Age: 24 ex_fr_female$Type: Observed Year: 2010 Ex: 61.160000","Age: 24 ex_fr_female$Type: Observed Year: 2011 Ex: 61.480000","Age: 24 ex_fr_female$Type: Observed Year: 2012 Ex: 61.330000","Age: 24 ex_fr_female$Type: Observed Year: 2013 Ex: 61.530000","Age: 24 ex_fr_female$Type: Observed Year: 2014 Ex: 61.900000","Age: 24 ex_fr_female$Type: Observed Year: 2015 Ex: 61.630000","Age: 24 ex_fr_female$Type: Observed Year: 2016 Ex: 61.810000","Age: 24 ex_fr_female$Type: Observed Year: 2017 Ex: 61.770000"],"frame":"24","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[37.8965839644831,37.7889388671271,37.5202852360913,37.5705812983876,37.6963801283633,38.7834375831798,38.7059604909516,39.2123441966435,39.1468108485407,38.496327090618,37.8079095681391,38.0797804138185,37.8380784897018,37.8653028716698,37.9286243076313,38.4262487283309,34.5546418168145,37.7378981285268,36.77666834667,37.8121727844395,38.9647678134672,36.7050046827421,38.0435807150931,38.7146433174024,37.8998197496659,38.8370890702886,38.1216552423894,38.6944205851669,39.0163484191517,39.5221997031461,38.7182037737295,37.4712554813131,37.7680247674856,35.0430547455439,39.1445179510303,38.9787960564586,38.7847121055211,38.6708341000792,34.9215818718199,37.0296279972629,38.7152292181248,38.2711412733918,37.6958233670437,37.5851601007099,39.4717129347744,39.190734131365,39.6274342912532,39.3797278420247,38.9139591915755,38.2893067837059,38.2864524126491,39.2496290575322,38.7950780786323,38.872603004478,36.4276823493345,33.0244245321966,39.713188833374,39.1519033945058,39.9724221561169,38.9654772098003,39.5022762948392,39.9610782000777,39.5855755266119,39.353835820171,39.4776308144281,39.8731762580638,39.7172419935613,39.6866906935138,39.6925544271513,39.8605773819569,39.6606788906497,39.7507461047064,40.3680960399415,40.8837907366802,39.834330873683,39.6550561298477,39.8979987293271,39.9181114871459,40.6832555967646,40.2675584298382,41.2958807870753,41.8801367037511,41.0250327843186,40.8262988067676,39.9336750352333,41.0193188429259,41.3833576107789,41.5587805738508,41.6110925844247,41.2218768498199,41.2320977215553,40.7670190640869,41.6958563042719,41.4105143986537,42.4527360235724,41.8350954608638,42.6727078794947,42.7557862606624,42.0266716948627,42.0448911587158,42.610793639737,42.605553641,37.0786038804241,41.4153885951613,43.2734528702476,43.4624503924512,43.1563063860357,44.0230373058504,43.7089858651936,43.6301345964967,43.6507487133863,44.2662234082354,44.5437421387212,43.5270511878626,45.0682931106572,44.5673851947775,45.0230373270037,45.0591820847359,45.7737793600626,45.2464375663752,45.7759760756564,46.0996435366223,45.8984075688242,46.0889012056232,44.282943485942,45.5836943994976,45.811341688234,43.8960528535596,39.9656767068511,45.5585065272141,48.9246284957131,49.5121215220168,50.2223379312012,49.2435957914432,50.1166570972168,49.6752199892141,50.6615183098377,50.1842291226569,51.1352548658982,51.2600620019991,51.1288024454746,51.6058348179933,52.394611526088,52.4340412042054,52.4260519802848,53.0918227227171,52.5873004930897,52.5096504198591,53.3615456058643,53.1341623826242,53.5530462549695,53.5443470235441,53.5677448121212,53.3473266776211,53.9995667367667,54.0211902436752,54.251736324491,54.329471752296,54.643097110999,54.6862145454048,54.9517499892361,55.5362876073812,55.5622568947721,55.8533127690967,55.9730058423932,56.0254061430239,56.3745073991933,56.2683312284887,56.7424518730932,56.7974777936226,57.0416419551772,57.548870535829,57.7473948845744,57.9090778676633,58.1581882495279,58.3761297780498,58.5870399775103,58.5683859066816,58.9439708757566,58.9158804297091,59.0077110032959,59.2615295972087,59.3601122824847,59.4382793379692,59.710000515487,59.8626621530801,59.9148390484553,59.7871637058852,60.6810200154912,60.6120050301965,60.9651217997773,61.1332469543721,61.097464280037,61.1984399510998,61.4065134417757,61.730851596063,61.5820159372194,61.7855336318067,62.1523925308243,61.8826520465364,62.0582870191332,62.0238415078766],"text":["Age: 24 ex_fr_female$Type: Predicted Year: 1816 Ex: 37.896584","Age: 24 ex_fr_female$Type: Predicted Year: 1817 Ex: 37.788939","Age: 24 ex_fr_female$Type: Predicted Year: 1818 Ex: 37.520285","Age: 24 ex_fr_female$Type: Predicted Year: 1819 Ex: 37.570581","Age: 24 ex_fr_female$Type: Predicted Year: 1820 Ex: 37.696380","Age: 24 ex_fr_female$Type: Predicted Year: 1821 Ex: 38.783438","Age: 24 ex_fr_female$Type: Predicted Year: 1822 Ex: 38.705960","Age: 24 ex_fr_female$Type: Predicted Year: 1823 Ex: 39.212344","Age: 24 ex_fr_female$Type: Predicted Year: 1824 Ex: 39.146811","Age: 24 ex_fr_female$Type: Predicted Year: 1825 Ex: 38.496327","Age: 24 ex_fr_female$Type: Predicted Year: 1826 Ex: 37.807910","Age: 24 ex_fr_female$Type: Predicted Year: 1827 Ex: 38.079780","Age: 24 ex_fr_female$Type: Predicted Year: 1828 Ex: 37.838078","Age: 24 ex_fr_female$Type: Predicted Year: 1829 Ex: 37.865303","Age: 24 ex_fr_female$Type: Predicted Year: 1830 Ex: 37.928624","Age: 24 ex_fr_female$Type: Predicted Year: 1831 Ex: 38.426249","Age: 24 ex_fr_female$Type: Predicted Year: 1832 Ex: 34.554642","Age: 24 ex_fr_female$Type: Predicted Year: 1833 Ex: 37.737898","Age: 24 ex_fr_female$Type: Predicted Year: 1834 Ex: 36.776668","Age: 24 ex_fr_female$Type: Predicted Year: 1835 Ex: 37.812173","Age: 24 ex_fr_female$Type: Predicted Year: 1836 Ex: 38.964768","Age: 24 ex_fr_female$Type: Predicted Year: 1837 Ex: 36.705005","Age: 24 ex_fr_female$Type: Predicted Year: 1838 Ex: 38.043581","Age: 24 ex_fr_female$Type: Predicted Year: 1839 Ex: 38.714643","Age: 24 ex_fr_female$Type: Predicted Year: 1840 Ex: 37.899820","Age: 24 ex_fr_female$Type: Predicted Year: 1841 Ex: 38.837089","Age: 24 ex_fr_female$Type: Predicted Year: 1842 Ex: 38.121655","Age: 24 ex_fr_female$Type: Predicted Year: 1843 Ex: 38.694421","Age: 24 ex_fr_female$Type: Predicted Year: 1844 Ex: 39.016348","Age: 24 ex_fr_female$Type: Predicted Year: 1845 Ex: 39.522200","Age: 24 ex_fr_female$Type: Predicted Year: 1846 Ex: 38.718204","Age: 24 ex_fr_female$Type: Predicted Year: 1847 Ex: 37.471255","Age: 24 ex_fr_female$Type: Predicted Year: 1848 Ex: 37.768025","Age: 24 ex_fr_female$Type: Predicted Year: 1849 Ex: 35.043055","Age: 24 ex_fr_female$Type: Predicted Year: 1850 Ex: 39.144518","Age: 24 ex_fr_female$Type: Predicted Year: 1851 Ex: 38.978796","Age: 24 ex_fr_female$Type: Predicted Year: 1852 Ex: 38.784712","Age: 24 ex_fr_female$Type: Predicted Year: 1853 Ex: 38.670834","Age: 24 ex_fr_female$Type: Predicted Year: 1854 Ex: 34.921582","Age: 24 ex_fr_female$Type: Predicted Year: 1855 Ex: 37.029628","Age: 24 ex_fr_female$Type: Predicted Year: 1856 Ex: 38.715229","Age: 24 ex_fr_female$Type: Predicted Year: 1857 Ex: 38.271141","Age: 24 ex_fr_female$Type: Predicted Year: 1858 Ex: 37.695823","Age: 24 ex_fr_female$Type: Predicted Year: 1859 Ex: 37.585160","Age: 24 ex_fr_female$Type: Predicted Year: 1860 Ex: 39.471713","Age: 24 ex_fr_female$Type: Predicted Year: 1861 Ex: 39.190734","Age: 24 ex_fr_female$Type: Predicted Year: 1862 Ex: 39.627434","Age: 24 ex_fr_female$Type: Predicted Year: 1863 Ex: 39.379728","Age: 24 ex_fr_female$Type: Predicted Year: 1864 Ex: 38.913959","Age: 24 ex_fr_female$Type: Predicted Year: 1865 Ex: 38.289307","Age: 24 ex_fr_female$Type: Predicted Year: 1866 Ex: 38.286452","Age: 24 ex_fr_female$Type: Predicted Year: 1867 Ex: 39.249629","Age: 24 ex_fr_female$Type: Predicted Year: 1868 Ex: 38.795078","Age: 24 ex_fr_female$Type: Predicted Year: 1869 Ex: 38.872603","Age: 24 ex_fr_female$Type: Predicted Year: 1870 Ex: 36.427682","Age: 24 ex_fr_female$Type: Predicted Year: 1871 Ex: 33.024425","Age: 24 ex_fr_female$Type: Predicted Year: 1872 Ex: 39.713189","Age: 24 ex_fr_female$Type: Predicted Year: 1873 Ex: 39.151903","Age: 24 ex_fr_female$Type: Predicted Year: 1874 Ex: 39.972422","Age: 24 ex_fr_female$Type: Predicted Year: 1875 Ex: 38.965477","Age: 24 ex_fr_female$Type: Predicted Year: 1876 Ex: 39.502276","Age: 24 ex_fr_female$Type: Predicted Year: 1877 Ex: 39.961078","Age: 24 ex_fr_female$Type: Predicted Year: 1878 Ex: 39.585576","Age: 24 ex_fr_female$Type: Predicted Year: 1879 Ex: 39.353836","Age: 24 ex_fr_female$Type: Predicted Year: 1880 Ex: 39.477631","Age: 24 ex_fr_female$Type: Predicted Year: 1881 Ex: 39.873176","Age: 24 ex_fr_female$Type: Predicted Year: 1882 Ex: 39.717242","Age: 24 ex_fr_female$Type: Predicted Year: 1883 Ex: 39.686691","Age: 24 ex_fr_female$Type: Predicted Year: 1884 Ex: 39.692554","Age: 24 ex_fr_female$Type: Predicted Year: 1885 Ex: 39.860577","Age: 24 ex_fr_female$Type: Predicted Year: 1886 Ex: 39.660679","Age: 24 ex_fr_female$Type: Predicted Year: 1887 Ex: 39.750746","Age: 24 ex_fr_female$Type: Predicted Year: 1888 Ex: 40.368096","Age: 24 ex_fr_female$Type: Predicted Year: 1889 Ex: 40.883791","Age: 24 ex_fr_female$Type: Predicted Year: 1890 Ex: 39.834331","Age: 24 ex_fr_female$Type: Predicted Year: 1891 Ex: 39.655056","Age: 24 ex_fr_female$Type: Predicted Year: 1892 Ex: 39.897999","Age: 24 ex_fr_female$Type: Predicted Year: 1893 Ex: 39.918111","Age: 24 ex_fr_female$Type: Predicted Year: 1894 Ex: 40.683256","Age: 24 ex_fr_female$Type: Predicted Year: 1895 Ex: 40.267558","Age: 24 ex_fr_female$Type: Predicted Year: 1896 Ex: 41.295881","Age: 24 ex_fr_female$Type: Predicted Year: 1897 Ex: 41.880137","Age: 24 ex_fr_female$Type: Predicted Year: 1898 Ex: 41.025033","Age: 24 ex_fr_female$Type: Predicted Year: 1899 Ex: 40.826299","Age: 24 ex_fr_female$Type: Predicted Year: 1900 Ex: 39.933675","Age: 24 ex_fr_female$Type: Predicted Year: 1901 Ex: 41.019319","Age: 24 ex_fr_female$Type: Predicted Year: 1902 Ex: 41.383358","Age: 24 ex_fr_female$Type: Predicted Year: 1903 Ex: 41.558781","Age: 24 ex_fr_female$Type: Predicted Year: 1904 Ex: 41.611093","Age: 24 ex_fr_female$Type: Predicted Year: 1905 Ex: 41.221877","Age: 24 ex_fr_female$Type: Predicted Year: 1906 Ex: 41.232098","Age: 24 ex_fr_female$Type: Predicted Year: 1907 Ex: 40.767019","Age: 24 ex_fr_female$Type: Predicted Year: 1908 Ex: 41.695856","Age: 24 ex_fr_female$Type: Predicted Year: 1909 Ex: 41.410514","Age: 24 ex_fr_female$Type: Predicted Year: 1910 Ex: 42.452736","Age: 24 ex_fr_female$Type: Predicted Year: 1911 Ex: 41.835095","Age: 24 ex_fr_female$Type: Predicted Year: 1912 Ex: 42.672708","Age: 24 ex_fr_female$Type: Predicted Year: 1913 Ex: 42.755786","Age: 24 ex_fr_female$Type: Predicted Year: 1914 Ex: 42.026672","Age: 24 ex_fr_female$Type: Predicted Year: 1915 Ex: 42.044891","Age: 24 ex_fr_female$Type: Predicted Year: 1916 Ex: 42.610794","Age: 24 ex_fr_female$Type: Predicted Year: 1917 Ex: 42.605554","Age: 24 ex_fr_female$Type: Predicted Year: 1918 Ex: 37.078604","Age: 24 ex_fr_female$Type: Predicted Year: 1919 Ex: 41.415389","Age: 24 ex_fr_female$Type: Predicted Year: 1920 Ex: 43.273453","Age: 24 ex_fr_female$Type: Predicted Year: 1921 Ex: 43.462450","Age: 24 ex_fr_female$Type: Predicted Year: 1922 Ex: 43.156306","Age: 24 ex_fr_female$Type: Predicted Year: 1923 Ex: 44.023037","Age: 24 ex_fr_female$Type: Predicted Year: 1924 Ex: 43.708986","Age: 24 ex_fr_female$Type: Predicted Year: 1925 Ex: 43.630135","Age: 24 ex_fr_female$Type: Predicted Year: 1926 Ex: 43.650749","Age: 24 ex_fr_female$Type: Predicted Year: 1927 Ex: 44.266223","Age: 24 ex_fr_female$Type: Predicted Year: 1928 Ex: 44.543742","Age: 24 ex_fr_female$Type: Predicted Year: 1929 Ex: 43.527051","Age: 24 ex_fr_female$Type: Predicted Year: 1930 Ex: 45.068293","Age: 24 ex_fr_female$Type: Predicted Year: 1931 Ex: 44.567385","Age: 24 ex_fr_female$Type: Predicted Year: 1932 Ex: 45.023037","Age: 24 ex_fr_female$Type: Predicted Year: 1933 Ex: 45.059182","Age: 24 ex_fr_female$Type: Predicted Year: 1934 Ex: 45.773779","Age: 24 ex_fr_female$Type: Predicted Year: 1935 Ex: 45.246438","Age: 24 ex_fr_female$Type: Predicted Year: 1936 Ex: 45.775976","Age: 24 ex_fr_female$Type: Predicted Year: 1937 Ex: 46.099644","Age: 24 ex_fr_female$Type: Predicted Year: 1938 Ex: 45.898408","Age: 24 ex_fr_female$Type: Predicted Year: 1939 Ex: 46.088901","Age: 24 ex_fr_female$Type: Predicted Year: 1940 Ex: 44.282943","Age: 24 ex_fr_female$Type: Predicted Year: 1941 Ex: 45.583694","Age: 24 ex_fr_female$Type: Predicted Year: 1942 Ex: 45.811342","Age: 24 ex_fr_female$Type: Predicted Year: 1943 Ex: 43.896053","Age: 24 ex_fr_female$Type: Predicted Year: 1944 Ex: 39.965677","Age: 24 ex_fr_female$Type: Predicted Year: 1945 Ex: 45.558507","Age: 24 ex_fr_female$Type: Predicted Year: 1946 Ex: 48.924628","Age: 24 ex_fr_female$Type: Predicted Year: 1947 Ex: 49.512122","Age: 24 ex_fr_female$Type: Predicted Year: 1948 Ex: 50.222338","Age: 24 ex_fr_female$Type: Predicted Year: 1949 Ex: 49.243596","Age: 24 ex_fr_female$Type: Predicted Year: 1950 Ex: 50.116657","Age: 24 ex_fr_female$Type: Predicted Year: 1951 Ex: 49.675220","Age: 24 ex_fr_female$Type: Predicted Year: 1952 Ex: 50.661518","Age: 24 ex_fr_female$Type: Predicted Year: 1953 Ex: 50.184229","Age: 24 ex_fr_female$Type: Predicted Year: 1954 Ex: 51.135255","Age: 24 ex_fr_female$Type: Predicted Year: 1955 Ex: 51.260062","Age: 24 ex_fr_female$Type: Predicted Year: 1956 Ex: 51.128802","Age: 24 ex_fr_female$Type: Predicted Year: 1957 Ex: 51.605835","Age: 24 ex_fr_female$Type: Predicted Year: 1958 Ex: 52.394612","Age: 24 ex_fr_female$Type: Predicted Year: 1959 Ex: 52.434041","Age: 24 ex_fr_female$Type: Predicted Year: 1960 Ex: 52.426052","Age: 24 ex_fr_female$Type: Predicted Year: 1961 Ex: 53.091823","Age: 24 ex_fr_female$Type: Predicted Year: 1962 Ex: 52.587300","Age: 24 ex_fr_female$Type: Predicted Year: 1963 Ex: 52.509650","Age: 24 ex_fr_female$Type: Predicted Year: 1964 Ex: 53.361546","Age: 24 ex_fr_female$Type: Predicted Year: 1965 Ex: 53.134162","Age: 24 ex_fr_female$Type: Predicted Year: 1966 Ex: 53.553046","Age: 24 ex_fr_female$Type: Predicted Year: 1967 Ex: 53.544347","Age: 24 ex_fr_female$Type: Predicted Year: 1968 Ex: 53.567745","Age: 24 ex_fr_female$Type: Predicted Year: 1969 Ex: 53.347327","Age: 24 ex_fr_female$Type: Predicted Year: 1970 Ex: 53.999567","Age: 24 ex_fr_female$Type: Predicted Year: 1971 Ex: 54.021190","Age: 24 ex_fr_female$Type: Predicted Year: 1972 Ex: 54.251736","Age: 24 ex_fr_female$Type: Predicted Year: 1973 Ex: 54.329472","Age: 24 ex_fr_female$Type: Predicted Year: 1974 Ex: 54.643097","Age: 24 ex_fr_female$Type: Predicted Year: 1975 Ex: 54.686215","Age: 24 ex_fr_female$Type: Predicted Year: 1976 Ex: 54.951750","Age: 24 ex_fr_female$Type: Predicted Year: 1977 Ex: 55.536288","Age: 24 ex_fr_female$Type: Predicted Year: 1978 Ex: 55.562257","Age: 24 ex_fr_female$Type: Predicted Year: 1979 Ex: 55.853313","Age: 24 ex_fr_female$Type: Predicted Year: 1980 Ex: 55.973006","Age: 24 ex_fr_female$Type: Predicted Year: 1981 Ex: 56.025406","Age: 24 ex_fr_female$Type: Predicted Year: 1982 Ex: 56.374507","Age: 24 ex_fr_female$Type: Predicted Year: 1983 Ex: 56.268331","Age: 24 ex_fr_female$Type: Predicted Year: 1984 Ex: 56.742452","Age: 24 ex_fr_female$Type: Predicted Year: 1985 Ex: 56.797478","Age: 24 ex_fr_female$Type: Predicted Year: 1986 Ex: 57.041642","Age: 24 ex_fr_female$Type: Predicted Year: 1987 Ex: 57.548871","Age: 24 ex_fr_female$Type: Predicted Year: 1988 Ex: 57.747395","Age: 24 ex_fr_female$Type: Predicted Year: 1989 Ex: 57.909078","Age: 24 ex_fr_female$Type: Predicted Year: 1990 Ex: 58.158188","Age: 24 ex_fr_female$Type: Predicted Year: 1991 Ex: 58.376130","Age: 24 ex_fr_female$Type: Predicted Year: 1992 Ex: 58.587040","Age: 24 ex_fr_female$Type: Predicted Year: 1993 Ex: 58.568386","Age: 24 ex_fr_female$Type: Predicted Year: 1994 Ex: 58.943971","Age: 24 ex_fr_female$Type: Predicted Year: 1995 Ex: 58.915880","Age: 24 ex_fr_female$Type: Predicted Year: 1996 Ex: 59.007711","Age: 24 ex_fr_female$Type: Predicted Year: 1997 Ex: 59.261530","Age: 24 ex_fr_female$Type: Predicted Year: 1998 Ex: 59.360112","Age: 24 ex_fr_female$Type: Predicted Year: 1999 Ex: 59.438279","Age: 24 ex_fr_female$Type: Predicted Year: 2000 Ex: 59.710001","Age: 24 ex_fr_female$Type: Predicted Year: 2001 Ex: 59.862662","Age: 24 ex_fr_female$Type: Predicted Year: 2002 Ex: 59.914839","Age: 24 ex_fr_female$Type: Predicted Year: 2003 Ex: 59.787164","Age: 24 ex_fr_female$Type: Predicted Year: 2004 Ex: 60.681020","Age: 24 ex_fr_female$Type: Predicted Year: 2005 Ex: 60.612005","Age: 24 ex_fr_female$Type: Predicted Year: 2006 Ex: 60.965122","Age: 24 ex_fr_female$Type: Predicted Year: 2007 Ex: 61.133247","Age: 24 ex_fr_female$Type: Predicted Year: 2008 Ex: 61.097464","Age: 24 ex_fr_female$Type: Predicted Year: 2009 Ex: 61.198440","Age: 24 ex_fr_female$Type: Predicted Year: 2010 Ex: 61.406513","Age: 24 ex_fr_female$Type: Predicted Year: 2011 Ex: 61.730852","Age: 24 ex_fr_female$Type: Predicted Year: 2012 Ex: 61.582016","Age: 24 ex_fr_female$Type: Predicted Year: 2013 Ex: 61.785534","Age: 24 ex_fr_female$Type: Predicted Year: 2014 Ex: 62.152393","Age: 24 ex_fr_female$Type: Predicted Year: 2015 Ex: 61.882652","Age: 24 ex_fr_female$Type: Predicted Year: 2016 Ex: 62.058287","Age: 24 ex_fr_female$Type: Predicted Year: 2017 Ex: 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37.510000","Age: 25 ex_fr_female$Type: Observed Year: 1832 Ex: 33.670000","Age: 25 ex_fr_female$Type: Observed Year: 1833 Ex: 36.840000","Age: 25 ex_fr_female$Type: Observed Year: 1834 Ex: 35.900000","Age: 25 ex_fr_female$Type: Observed Year: 1835 Ex: 36.920000","Age: 25 ex_fr_female$Type: Observed Year: 1836 Ex: 38.060000","Age: 25 ex_fr_female$Type: Observed Year: 1837 Ex: 35.800000","Age: 25 ex_fr_female$Type: Observed Year: 1838 Ex: 37.140000","Age: 25 ex_fr_female$Type: Observed Year: 1839 Ex: 37.810000","Age: 25 ex_fr_female$Type: Observed Year: 1840 Ex: 37.010000","Age: 25 ex_fr_female$Type: Observed Year: 1841 Ex: 37.940000","Age: 25 ex_fr_female$Type: Observed Year: 1842 Ex: 37.230000","Age: 25 ex_fr_female$Type: Observed Year: 1843 Ex: 37.800000","Age: 25 ex_fr_female$Type: Observed Year: 1844 Ex: 38.110000","Age: 25 ex_fr_female$Type: Observed Year: 1845 Ex: 38.610000","Age: 25 ex_fr_female$Type: Observed Year: 1846 Ex: 37.840000","Age: 25 ex_fr_female$Type: Observed Year: 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39.720000","Age: 25 ex_fr_female$Type: Observed Year: 1895 Ex: 39.320000","Age: 25 ex_fr_female$Type: Observed Year: 1896 Ex: 40.370000","Age: 25 ex_fr_female$Type: Observed Year: 1897 Ex: 40.930000","Age: 25 ex_fr_female$Type: Observed Year: 1898 Ex: 40.070000","Age: 25 ex_fr_female$Type: Observed Year: 1899 Ex: 39.860000","Age: 25 ex_fr_female$Type: Observed Year: 1900 Ex: 38.970000","Age: 25 ex_fr_female$Type: Observed Year: 1901 Ex: 40.070000","Age: 25 ex_fr_female$Type: Observed Year: 1902 Ex: 40.420000","Age: 25 ex_fr_female$Type: Observed Year: 1903 Ex: 40.590000","Age: 25 ex_fr_female$Type: Observed Year: 1904 Ex: 40.650000","Age: 25 ex_fr_female$Type: Observed Year: 1905 Ex: 40.260000","Age: 25 ex_fr_female$Type: Observed Year: 1906 Ex: 40.270000","Age: 25 ex_fr_female$Type: Observed Year: 1907 Ex: 39.800000","Age: 25 ex_fr_female$Type: Observed Year: 1908 Ex: 40.730000","Age: 25 ex_fr_female$Type: Observed Year: 1909 Ex: 40.430000","Age: 25 ex_fr_female$Type: Observed Year: 1910 Ex: 41.460000","Age: 25 ex_fr_female$Type: Observed Year: 1911 Ex: 40.840000","Age: 25 ex_fr_female$Type: Observed Year: 1912 Ex: 41.680000","Age: 25 ex_fr_female$Type: Observed Year: 1913 Ex: 41.750000","Age: 25 ex_fr_female$Type: Observed Year: 1914 Ex: 41.030000","Age: 25 ex_fr_female$Type: Observed Year: 1915 Ex: 41.040000","Age: 25 ex_fr_female$Type: Observed Year: 1916 Ex: 41.600000","Age: 25 ex_fr_female$Type: Observed Year: 1917 Ex: 41.600000","Age: 25 ex_fr_female$Type: Observed Year: 1918 Ex: 36.330000","Age: 25 ex_fr_female$Type: Observed Year: 1919 Ex: 40.480000","Age: 25 ex_fr_female$Type: Observed Year: 1920 Ex: 42.300000","Age: 25 ex_fr_female$Type: Observed Year: 1921 Ex: 42.480000","Age: 25 ex_fr_female$Type: Observed Year: 1922 Ex: 42.150000","Age: 25 ex_fr_female$Type: Observed Year: 1923 Ex: 43.020000","Age: 25 ex_fr_female$Type: Observed Year: 1924 Ex: 42.700000","Age: 25 ex_fr_female$Type: Observed Year: 1925 Ex: 42.630000","Age: 25 ex_fr_female$Type: Observed Year: 1926 Ex: 42.660000","Age: 25 ex_fr_female$Type: Observed Year: 1927 Ex: 43.260000","Age: 25 ex_fr_female$Type: Observed Year: 1928 Ex: 43.540000","Age: 25 ex_fr_female$Type: Observed Year: 1929 Ex: 42.510000","Age: 25 ex_fr_female$Type: Observed Year: 1930 Ex: 44.050000","Age: 25 ex_fr_female$Type: Observed Year: 1931 Ex: 43.540000","Age: 25 ex_fr_female$Type: Observed Year: 1932 Ex: 43.990000","Age: 25 ex_fr_female$Type: Observed Year: 1933 Ex: 44.030000","Age: 25 ex_fr_female$Type: Observed Year: 1934 Ex: 44.720000","Age: 25 ex_fr_female$Type: Observed Year: 1935 Ex: 44.190000","Age: 25 ex_fr_female$Type: Observed Year: 1936 Ex: 44.710000","Age: 25 ex_fr_female$Type: Observed Year: 1937 Ex: 45.030000","Age: 25 ex_fr_female$Type: Observed Year: 1938 Ex: 44.830000","Age: 25 ex_fr_female$Type: Observed Year: 1939 Ex: 45.010000","Age: 25 ex_fr_female$Type: Observed Year: 1940 Ex: 43.230000","Age: 25 ex_fr_female$Type: Observed Year: 1941 Ex: 44.500000","Age: 25 ex_fr_female$Type: Observed Year: 1942 Ex: 44.770000","Age: 25 ex_fr_female$Type: Observed Year: 1943 Ex: 43.140000","Age: 25 ex_fr_female$Type: Observed Year: 1944 Ex: 39.310000","Age: 25 ex_fr_female$Type: Observed Year: 1945 Ex: 44.560000","Age: 25 ex_fr_female$Type: Observed Year: 1946 Ex: 47.800000","Age: 25 ex_fr_female$Type: Observed Year: 1947 Ex: 48.380000","Age: 25 ex_fr_female$Type: Observed Year: 1948 Ex: 49.060000","Age: 25 ex_fr_female$Type: Observed Year: 1949 Ex: 48.070000","Age: 25 ex_fr_female$Type: Observed Year: 1950 Ex: 48.930000","Age: 25 ex_fr_female$Type: Observed Year: 1951 Ex: 48.500000","Age: 25 ex_fr_female$Type: Observed Year: 1952 Ex: 49.470000","Age: 25 ex_fr_female$Type: Observed Year: 1953 Ex: 48.990000","Age: 25 ex_fr_female$Type: Observed Year: 1954 Ex: 49.930000","Age: 25 ex_fr_female$Type: Observed Year: 1955 Ex: 50.050000","Age: 25 ex_fr_female$Type: Observed Year: 1956 Ex: 49.910000","Age: 25 ex_fr_female$Type: Observed Year: 1957 Ex: 50.400000","Age: 25 ex_fr_female$Type: Observed Year: 1958 Ex: 51.180000","Age: 25 ex_fr_female$Type: Observed Year: 1959 Ex: 51.220000","Age: 25 ex_fr_female$Type: Observed Year: 1960 Ex: 51.210000","Age: 25 ex_fr_female$Type: Observed Year: 1961 Ex: 51.870000","Age: 25 ex_fr_female$Type: Observed Year: 1962 Ex: 51.370000","Age: 25 ex_fr_female$Type: Observed Year: 1963 Ex: 51.300000","Age: 25 ex_fr_female$Type: Observed Year: 1964 Ex: 52.140000","Age: 25 ex_fr_female$Type: Observed Year: 1965 Ex: 51.910000","Age: 25 ex_fr_female$Type: Observed Year: 1966 Ex: 52.330000","Age: 25 ex_fr_female$Type: Observed Year: 1967 Ex: 52.320000","Age: 25 ex_fr_female$Type: Observed Year: 1968 Ex: 52.350000","Age: 25 ex_fr_female$Type: Observed Year: 1969 Ex: 52.130000","Age: 25 ex_fr_female$Type: Observed Year: 1970 Ex: 52.780000","Age: 25 ex_fr_female$Type: Observed Year: 1971 Ex: 52.800000","Age: 25 ex_fr_female$Type: Observed Year: 1972 Ex: 53.030000","Age: 25 ex_fr_female$Type: Observed Year: 1973 Ex: 53.110000","Age: 25 ex_fr_female$Type: Observed Year: 1974 Ex: 53.420000","Age: 25 ex_fr_female$Type: Observed Year: 1975 Ex: 53.460000","Age: 25 ex_fr_female$Type: Observed Year: 1976 Ex: 53.730000","Age: 25 ex_fr_female$Type: Observed Year: 1977 Ex: 54.320000","Age: 25 ex_fr_female$Type: Observed Year: 1978 Ex: 54.340000","Age: 25 ex_fr_female$Type: Observed Year: 1979 Ex: 54.630000","Age: 25 ex_fr_female$Type: Observed Year: 1980 Ex: 54.750000","Age: 25 ex_fr_female$Type: Observed Year: 1981 Ex: 54.800000","Age: 25 ex_fr_female$Type: Observed Year: 1982 Ex: 55.150000","Age: 25 ex_fr_female$Type: Observed Year: 1983 Ex: 55.050000","Age: 25 ex_fr_female$Type: Observed Year: 1984 Ex: 55.520000","Age: 25 ex_fr_female$Type: Observed Year: 1985 Ex: 55.570000","Age: 25 ex_fr_female$Type: Observed Year: 1986 Ex: 55.820000","Age: 25 ex_fr_female$Type: Observed Year: 1987 Ex: 56.320000","Age: 25 ex_fr_female$Type: Observed Year: 1988 Ex: 56.520000","Age: 25 ex_fr_female$Type: Observed Year: 1989 Ex: 56.690000","Age: 25 ex_fr_female$Type: Observed Year: 1990 Ex: 56.930000","Age: 25 ex_fr_female$Type: Observed Year: 1991 Ex: 57.150000","Age: 25 ex_fr_female$Type: Observed Year: 1992 Ex: 57.360000","Age: 25 ex_fr_female$Type: Observed Year: 1993 Ex: 57.340000","Age: 25 ex_fr_female$Type: Observed Year: 1994 Ex: 57.720000","Age: 25 ex_fr_female$Type: Observed Year: 1995 Ex: 57.690000","Age: 25 ex_fr_female$Type: Observed Year: 1996 Ex: 57.780000","Age: 25 ex_fr_female$Type: Observed Year: 1997 Ex: 58.030000","Age: 25 ex_fr_female$Type: Observed Year: 1998 Ex: 58.130000","Age: 25 ex_fr_female$Type: Observed Year: 1999 Ex: 58.200000","Age: 25 ex_fr_female$Type: Observed Year: 2000 Ex: 58.480000","Age: 25 ex_fr_female$Type: Observed Year: 2001 Ex: 58.630000","Age: 25 ex_fr_female$Type: Observed Year: 2002 Ex: 58.680000","Age: 25 ex_fr_female$Type: Observed Year: 2003 Ex: 58.550000","Age: 25 ex_fr_female$Type: Observed Year: 2004 Ex: 59.450000","Age: 25 ex_fr_female$Type: Observed Year: 2005 Ex: 59.370000","Age: 25 ex_fr_female$Type: Observed Year: 2006 Ex: 59.730000","Age: 25 ex_fr_female$Type: Observed Year: 2007 Ex: 59.900000","Age: 25 ex_fr_female$Type: Observed Year: 2008 Ex: 59.860000","Age: 25 ex_fr_female$Type: Observed Year: 2009 Ex: 59.960000","Age: 25 ex_fr_female$Type: Observed Year: 2010 Ex: 60.170000","Age: 25 ex_fr_female$Type: Observed Year: 2011 Ex: 60.490000","Age: 25 ex_fr_female$Type: Observed Year: 2012 Ex: 60.340000","Age: 25 ex_fr_female$Type: Observed Year: 2013 Ex: 60.550000","Age: 25 ex_fr_female$Type: Observed Year: 2014 Ex: 60.910000","Age: 25 ex_fr_female$Type: Observed Year: 2015 Ex: 60.650000","Age: 25 ex_fr_female$Type: Observed Year: 2016 Ex: 60.820000","Age: 25 ex_fr_female$Type: Observed Year: 2017 Ex: 60.790000"],"frame":"25","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[37.2161888126498,37.1200365384196,36.8635667128356,36.9229356334754,37.0236538773081,38.136113725932,38.0648640958951,38.5271893073346,38.4732030068024,37.8317891615462,37.1666628973867,37.424457258794,37.1858142324691,37.2076354705101,37.2745589506192,37.7702760376493,33.9316589022731,37.1019942047281,36.1625166352243,37.1800094382417,38.3152326154122,36.0619264800958,37.4015679454876,38.0736284880931,37.2636107533003,38.1964505325358,37.484565100033,38.0597705348984,38.3700040499355,38.8694748212894,38.0996041902707,36.8495483729312,37.1433306581681,34.4569271376584,38.4899915181682,38.3227881059815,38.1459013356273,38.0421248212585,34.3507238054909,36.4366310725094,38.0927403887425,37.6377813697583,37.0613861214424,36.9822314607748,38.8083170637682,38.5522389562223,38.972882684361,38.7324041178234,38.2709393473178,37.6649003379223,37.6543857736617,38.5804067095422,38.1501804467268,38.2322973647003,35.8457843542146,32.5638884061142,39.0922429603016,38.5360704250435,39.3268900818205,38.3143958366048,38.8493741061154,39.2979289805956,38.9271056899037,38.7003966121706,38.8374887890059,39.2180138469215,39.0662528758328,39.0322669174259,39.0207890695324,39.1779169366461,39.0052355961017,39.0798639014822,39.6786775213594,40.1845542967542,39.1336194052401,38.9458795920186,39.1894359260321,39.2152572868924,39.9728108753997,39.5725476350059,40.6169791982176,41.1804005459086,40.3162345212726,40.1051075014995,39.2210065293126,40.3166016322627,40.6713697036526,40.8401730003065,40.8973970434334,40.5058808076797,40.5161729621813,40.0510947340875,40.9756995207396,40.6814177748262,41.7081643562251,41.0880109353723,41.9286269172548,42.0032827421506,41.2778347818901,41.2907312448062,41.8434651226273,41.8420068102636,36.5868958284151,40.7291808504435,42.5493732562443,42.7227296361376,42.393278736826,43.2678883523215,42.9507665745003,42.8719078050089,42.9034870819086,43.5084815940417,43.7897509168811,42.760026297072,44.2948286242552,43.789603020138,44.2341305289831,44.2713420796262,44.9670573422385,44.4338694079515,44.9556246450835,45.2810341818936,45.0730728111537,45.2578927744864,43.4738144344188,44.7490032361709,45.0188887648192,43.3905313530902,39.5593308885507,44.8079178585187,48.050696418101,48.6318571760284,49.313911280476,48.3182305886239,49.1871628093504,48.7446059665129,49.720241639408,49.2384144634113,50.1833812180381,50.3032263995698,50.1667882920011,50.6482702716054,51.4356244693062,51.4740458177089,51.4634522017903,52.1291761773266,51.6227319041048,51.5528363518693,52.3922141962069,52.1657523570461,52.5896654905217,52.5767139471402,52.6006570166881,52.3816886075888,53.0316761096207,53.0549192181556,53.2834592071728,53.36177912756,53.6750509646813,53.7176516666063,53.9849756905684,54.5693192894503,54.5931003948132,54.8843193060777,55.0079648481608,55.0537313230778,55.4069240143032,55.3006862435556,55.7739564674285,55.8273233659298,56.071051255412,56.5774021039889,56.777171271775,56.9383639653307,57.1847171177623,57.4044960313731,57.6149284499329,57.5962654230007,57.9720307161386,57.9421734918415,58.03346006093,58.2850389109103,58.3824833756598,58.4559634743911,58.7313199531714,58.8828488899575,58.9356378819181,58.8037664361051,59.6978730605218,59.6246298768617,59.9826592280264,60.14962014143,60.1132216692104,60.2142235973611,60.4223511941784,60.7443238653637,60.5948445075661,60.7996309257308,61.1647242425016,60.896771680265,61.07121561691,61.0361475067781],"text":["Age: 25 ex_fr_female$Type: Predicted Year: 1816 Ex: 37.216189","Age: 25 ex_fr_female$Type: Predicted Year: 1817 Ex: 37.120037","Age: 25 ex_fr_female$Type: Predicted Year: 1818 Ex: 36.863567","Age: 25 ex_fr_female$Type: Predicted Year: 1819 Ex: 36.922936","Age: 25 ex_fr_female$Type: Predicted Year: 1820 Ex: 37.023654","Age: 25 ex_fr_female$Type: Predicted Year: 1821 Ex: 38.136114","Age: 25 ex_fr_female$Type: Predicted Year: 1822 Ex: 38.064864","Age: 25 ex_fr_female$Type: Predicted Year: 1823 Ex: 38.527189","Age: 25 ex_fr_female$Type: Predicted Year: 1824 Ex: 38.473203","Age: 25 ex_fr_female$Type: Predicted Year: 1825 Ex: 37.831789","Age: 25 ex_fr_female$Type: Predicted Year: 1826 Ex: 37.166663","Age: 25 ex_fr_female$Type: Predicted Year: 1827 Ex: 37.424457","Age: 25 ex_fr_female$Type: Predicted Year: 1828 Ex: 37.185814","Age: 25 ex_fr_female$Type: Predicted Year: 1829 Ex: 37.207635","Age: 25 ex_fr_female$Type: Predicted Year: 1830 Ex: 37.274559","Age: 25 ex_fr_female$Type: Predicted Year: 1831 Ex: 37.770276","Age: 25 ex_fr_female$Type: Predicted Year: 1832 Ex: 33.931659","Age: 25 ex_fr_female$Type: Predicted Year: 1833 Ex: 37.101994","Age: 25 ex_fr_female$Type: Predicted Year: 1834 Ex: 36.162517","Age: 25 ex_fr_female$Type: Predicted Year: 1835 Ex: 37.180009","Age: 25 ex_fr_female$Type: Predicted Year: 1836 Ex: 38.315233","Age: 25 ex_fr_female$Type: Predicted Year: 1837 Ex: 36.061926","Age: 25 ex_fr_female$Type: Predicted Year: 1838 Ex: 37.401568","Age: 25 ex_fr_female$Type: Predicted Year: 1839 Ex: 38.073628","Age: 25 ex_fr_female$Type: Predicted Year: 1840 Ex: 37.263611","Age: 25 ex_fr_female$Type: Predicted Year: 1841 Ex: 38.196451","Age: 25 ex_fr_female$Type: Predicted Year: 1842 Ex: 37.484565","Age: 25 ex_fr_female$Type: Predicted Year: 1843 Ex: 38.059771","Age: 25 ex_fr_female$Type: Predicted Year: 1844 Ex: 38.370004","Age: 25 ex_fr_female$Type: Predicted Year: 1845 Ex: 38.869475","Age: 25 ex_fr_female$Type: Predicted Year: 1846 Ex: 38.099604","Age: 25 ex_fr_female$Type: Predicted Year: 1847 Ex: 36.849548","Age: 25 ex_fr_female$Type: Predicted Year: 1848 Ex: 37.143331","Age: 25 ex_fr_female$Type: Predicted Year: 1849 Ex: 34.456927","Age: 25 ex_fr_female$Type: Predicted Year: 1850 Ex: 38.489992","Age: 25 ex_fr_female$Type: Predicted Year: 1851 Ex: 38.322788","Age: 25 ex_fr_female$Type: Predicted Year: 1852 Ex: 38.145901","Age: 25 ex_fr_female$Type: Predicted Year: 1853 Ex: 38.042125","Age: 25 ex_fr_female$Type: Predicted Year: 1854 Ex: 34.350724","Age: 25 ex_fr_female$Type: Predicted Year: 1855 Ex: 36.436631","Age: 25 ex_fr_female$Type: Predicted Year: 1856 Ex: 38.092740","Age: 25 ex_fr_female$Type: Predicted Year: 1857 Ex: 37.637781","Age: 25 ex_fr_female$Type: Predicted Year: 1858 Ex: 37.061386","Age: 25 ex_fr_female$Type: Predicted Year: 1859 Ex: 36.982231","Age: 25 ex_fr_female$Type: Predicted Year: 1860 Ex: 38.808317","Age: 25 ex_fr_female$Type: Predicted Year: 1861 Ex: 38.552239","Age: 25 ex_fr_female$Type: Predicted Year: 1862 Ex: 38.972883","Age: 25 ex_fr_female$Type: Predicted Year: 1863 Ex: 38.732404","Age: 25 ex_fr_female$Type: Predicted Year: 1864 Ex: 38.270939","Age: 25 ex_fr_female$Type: Predicted Year: 1865 Ex: 37.664900","Age: 25 ex_fr_female$Type: Predicted Year: 1866 Ex: 37.654386","Age: 25 ex_fr_female$Type: Predicted Year: 1867 Ex: 38.580407","Age: 25 ex_fr_female$Type: Predicted Year: 1868 Ex: 38.150180","Age: 25 ex_fr_female$Type: Predicted Year: 1869 Ex: 38.232297","Age: 25 ex_fr_female$Type: Predicted Year: 1870 Ex: 35.845784","Age: 25 ex_fr_female$Type: Predicted Year: 1871 Ex: 32.563888","Age: 25 ex_fr_female$Type: Predicted Year: 1872 Ex: 39.092243","Age: 25 ex_fr_female$Type: Predicted Year: 1873 Ex: 38.536070","Age: 25 ex_fr_female$Type: Predicted Year: 1874 Ex: 39.326890","Age: 25 ex_fr_female$Type: Predicted Year: 1875 Ex: 38.314396","Age: 25 ex_fr_female$Type: Predicted Year: 1876 Ex: 38.849374","Age: 25 ex_fr_female$Type: Predicted Year: 1877 Ex: 39.297929","Age: 25 ex_fr_female$Type: Predicted Year: 1878 Ex: 38.927106","Age: 25 ex_fr_female$Type: Predicted Year: 1879 Ex: 38.700397","Age: 25 ex_fr_female$Type: Predicted Year: 1880 Ex: 38.837489","Age: 25 ex_fr_female$Type: Predicted Year: 1881 Ex: 39.218014","Age: 25 ex_fr_female$Type: Predicted Year: 1882 Ex: 39.066253","Age: 25 ex_fr_female$Type: Predicted Year: 1883 Ex: 39.032267","Age: 25 ex_fr_female$Type: Predicted Year: 1884 Ex: 39.020789","Age: 25 ex_fr_female$Type: Predicted Year: 1885 Ex: 39.177917","Age: 25 ex_fr_female$Type: Predicted Year: 1886 Ex: 39.005236","Age: 25 ex_fr_female$Type: Predicted Year: 1887 Ex: 39.079864","Age: 25 ex_fr_female$Type: Predicted Year: 1888 Ex: 39.678678","Age: 25 ex_fr_female$Type: Predicted Year: 1889 Ex: 40.184554","Age: 25 ex_fr_female$Type: Predicted Year: 1890 Ex: 39.133619","Age: 25 ex_fr_female$Type: Predicted Year: 1891 Ex: 38.945880","Age: 25 ex_fr_female$Type: Predicted Year: 1892 Ex: 39.189436","Age: 25 ex_fr_female$Type: Predicted Year: 1893 Ex: 39.215257","Age: 25 ex_fr_female$Type: Predicted Year: 1894 Ex: 39.972811","Age: 25 ex_fr_female$Type: Predicted Year: 1895 Ex: 39.572548","Age: 25 ex_fr_female$Type: Predicted Year: 1896 Ex: 40.616979","Age: 25 ex_fr_female$Type: Predicted Year: 1897 Ex: 41.180401","Age: 25 ex_fr_female$Type: Predicted Year: 1898 Ex: 40.316235","Age: 25 ex_fr_female$Type: Predicted Year: 1899 Ex: 40.105108","Age: 25 ex_fr_female$Type: Predicted Year: 1900 Ex: 39.221007","Age: 25 ex_fr_female$Type: Predicted Year: 1901 Ex: 40.316602","Age: 25 ex_fr_female$Type: Predicted Year: 1902 Ex: 40.671370","Age: 25 ex_fr_female$Type: Predicted Year: 1903 Ex: 40.840173","Age: 25 ex_fr_female$Type: Predicted Year: 1904 Ex: 40.897397","Age: 25 ex_fr_female$Type: Predicted Year: 1905 Ex: 40.505881","Age: 25 ex_fr_female$Type: Predicted Year: 1906 Ex: 40.516173","Age: 25 ex_fr_female$Type: Predicted Year: 1907 Ex: 40.051095","Age: 25 ex_fr_female$Type: Predicted Year: 1908 Ex: 40.975700","Age: 25 ex_fr_female$Type: Predicted Year: 1909 Ex: 40.681418","Age: 25 ex_fr_female$Type: Predicted Year: 1910 Ex: 41.708164","Age: 25 ex_fr_female$Type: Predicted Year: 1911 Ex: 41.088011","Age: 25 ex_fr_female$Type: Predicted Year: 1912 Ex: 41.928627","Age: 25 ex_fr_female$Type: Predicted Year: 1913 Ex: 42.003283","Age: 25 ex_fr_female$Type: Predicted Year: 1914 Ex: 41.277835","Age: 25 ex_fr_female$Type: Predicted Year: 1915 Ex: 41.290731","Age: 25 ex_fr_female$Type: Predicted Year: 1916 Ex: 41.843465","Age: 25 ex_fr_female$Type: Predicted Year: 1917 Ex: 41.842007","Age: 25 ex_fr_female$Type: Predicted Year: 1918 Ex: 36.586896","Age: 25 ex_fr_female$Type: Predicted Year: 1919 Ex: 40.729181","Age: 25 ex_fr_female$Type: Predicted Year: 1920 Ex: 42.549373","Age: 25 ex_fr_female$Type: Predicted Year: 1921 Ex: 42.722730","Age: 25 ex_fr_female$Type: Predicted Year: 1922 Ex: 42.393279","Age: 25 ex_fr_female$Type: Predicted Year: 1923 Ex: 43.267888","Age: 25 ex_fr_female$Type: Predicted Year: 1924 Ex: 42.950767","Age: 25 ex_fr_female$Type: Predicted Year: 1925 Ex: 42.871908","Age: 25 ex_fr_female$Type: Predicted Year: 1926 Ex: 42.903487","Age: 25 ex_fr_female$Type: Predicted Year: 1927 Ex: 43.508482","Age: 25 ex_fr_female$Type: Predicted Year: 1928 Ex: 43.789751","Age: 25 ex_fr_female$Type: Predicted Year: 1929 Ex: 42.760026","Age: 25 ex_fr_female$Type: Predicted Year: 1930 Ex: 44.294829","Age: 25 ex_fr_female$Type: Predicted Year: 1931 Ex: 43.789603","Age: 25 ex_fr_female$Type: Predicted Year: 1932 Ex: 44.234131","Age: 25 ex_fr_female$Type: Predicted Year: 1933 Ex: 44.271342","Age: 25 ex_fr_female$Type: Predicted Year: 1934 Ex: 44.967057","Age: 25 ex_fr_female$Type: Predicted Year: 1935 Ex: 44.433869","Age: 25 ex_fr_female$Type: Predicted Year: 1936 Ex: 44.955625","Age: 25 ex_fr_female$Type: Predicted Year: 1937 Ex: 45.281034","Age: 25 ex_fr_female$Type: Predicted Year: 1938 Ex: 45.073073","Age: 25 ex_fr_female$Type: Predicted Year: 1939 Ex: 45.257893","Age: 25 ex_fr_female$Type: Predicted Year: 1940 Ex: 43.473814","Age: 25 ex_fr_female$Type: Predicted Year: 1941 Ex: 44.749003","Age: 25 ex_fr_female$Type: Predicted Year: 1942 Ex: 45.018889","Age: 25 ex_fr_female$Type: Predicted Year: 1943 Ex: 43.390531","Age: 25 ex_fr_female$Type: Predicted Year: 1944 Ex: 39.559331","Age: 25 ex_fr_female$Type: Predicted Year: 1945 Ex: 44.807918","Age: 25 ex_fr_female$Type: Predicted Year: 1946 Ex: 48.050696","Age: 25 ex_fr_female$Type: Predicted Year: 1947 Ex: 48.631857","Age: 25 ex_fr_female$Type: Predicted Year: 1948 Ex: 49.313911","Age: 25 ex_fr_female$Type: Predicted Year: 1949 Ex: 48.318231","Age: 25 ex_fr_female$Type: Predicted Year: 1950 Ex: 49.187163","Age: 25 ex_fr_female$Type: Predicted Year: 1951 Ex: 48.744606","Age: 25 ex_fr_female$Type: Predicted Year: 1952 Ex: 49.720242","Age: 25 ex_fr_female$Type: Predicted Year: 1953 Ex: 49.238414","Age: 25 ex_fr_female$Type: Predicted Year: 1954 Ex: 50.183381","Age: 25 ex_fr_female$Type: Predicted Year: 1955 Ex: 50.303226","Age: 25 ex_fr_female$Type: Predicted Year: 1956 Ex: 50.166788","Age: 25 ex_fr_female$Type: Predicted Year: 1957 Ex: 50.648270","Age: 25 ex_fr_female$Type: Predicted Year: 1958 Ex: 51.435624","Age: 25 ex_fr_female$Type: Predicted Year: 1959 Ex: 51.474046","Age: 25 ex_fr_female$Type: Predicted Year: 1960 Ex: 51.463452","Age: 25 ex_fr_female$Type: Predicted Year: 1961 Ex: 52.129176","Age: 25 ex_fr_female$Type: Predicted Year: 1962 Ex: 51.622732","Age: 25 ex_fr_female$Type: Predicted Year: 1963 Ex: 51.552836","Age: 25 ex_fr_female$Type: Predicted Year: 1964 Ex: 52.392214","Age: 25 ex_fr_female$Type: Predicted Year: 1965 Ex: 52.165752","Age: 25 ex_fr_female$Type: Predicted Year: 1966 Ex: 52.589665","Age: 25 ex_fr_female$Type: Predicted Year: 1967 Ex: 52.576714","Age: 25 ex_fr_female$Type: Predicted Year: 1968 Ex: 52.600657","Age: 25 ex_fr_female$Type: Predicted Year: 1969 Ex: 52.381689","Age: 25 ex_fr_female$Type: Predicted Year: 1970 Ex: 53.031676","Age: 25 ex_fr_female$Type: Predicted Year: 1971 Ex: 53.054919","Age: 25 ex_fr_female$Type: Predicted Year: 1972 Ex: 53.283459","Age: 25 ex_fr_female$Type: Predicted Year: 1973 Ex: 53.361779","Age: 25 ex_fr_female$Type: Predicted Year: 1974 Ex: 53.675051","Age: 25 ex_fr_female$Type: Predicted Year: 1975 Ex: 53.717652","Age: 25 ex_fr_female$Type: Predicted Year: 1976 Ex: 53.984976","Age: 25 ex_fr_female$Type: Predicted Year: 1977 Ex: 54.569319","Age: 25 ex_fr_female$Type: Predicted Year: 1978 Ex: 54.593100","Age: 25 ex_fr_female$Type: Predicted Year: 1979 Ex: 54.884319","Age: 25 ex_fr_female$Type: Predicted Year: 1980 Ex: 55.007965","Age: 25 ex_fr_female$Type: Predicted Year: 1981 Ex: 55.053731","Age: 25 ex_fr_female$Type: Predicted Year: 1982 Ex: 55.406924","Age: 25 ex_fr_female$Type: Predicted Year: 1983 Ex: 55.300686","Age: 25 ex_fr_female$Type: Predicted Year: 1984 Ex: 55.773956","Age: 25 ex_fr_female$Type: Predicted Year: 1985 Ex: 55.827323","Age: 25 ex_fr_female$Type: Predicted Year: 1986 Ex: 56.071051","Age: 25 ex_fr_female$Type: Predicted Year: 1987 Ex: 56.577402","Age: 25 ex_fr_female$Type: Predicted Year: 1988 Ex: 56.777171","Age: 25 ex_fr_female$Type: Predicted Year: 1989 Ex: 56.938364","Age: 25 ex_fr_female$Type: Predicted Year: 1990 Ex: 57.184717","Age: 25 ex_fr_female$Type: Predicted Year: 1991 Ex: 57.404496","Age: 25 ex_fr_female$Type: Predicted Year: 1992 Ex: 57.614928","Age: 25 ex_fr_female$Type: Predicted Year: 1993 Ex: 57.596265","Age: 25 ex_fr_female$Type: Predicted Year: 1994 Ex: 57.972031","Age: 25 ex_fr_female$Type: Predicted Year: 1995 Ex: 57.942173","Age: 25 ex_fr_female$Type: Predicted Year: 1996 Ex: 58.033460","Age: 25 ex_fr_female$Type: Predicted Year: 1997 Ex: 58.285039","Age: 25 ex_fr_female$Type: Predicted Year: 1998 Ex: 58.382483","Age: 25 ex_fr_female$Type: Predicted Year: 1999 Ex: 58.455963","Age: 25 ex_fr_female$Type: Predicted Year: 2000 Ex: 58.731320","Age: 25 ex_fr_female$Type: Predicted Year: 2001 Ex: 58.882849","Age: 25 ex_fr_female$Type: Predicted Year: 2002 Ex: 58.935638","Age: 25 ex_fr_female$Type: Predicted Year: 2003 Ex: 58.803766","Age: 25 ex_fr_female$Type: Predicted Year: 2004 Ex: 59.697873","Age: 25 ex_fr_female$Type: Predicted Year: 2005 Ex: 59.624630","Age: 25 ex_fr_female$Type: Predicted Year: 2006 Ex: 59.982659","Age: 25 ex_fr_female$Type: Predicted Year: 2007 Ex: 60.149620","Age: 25 ex_fr_female$Type: Predicted Year: 2008 Ex: 60.113222","Age: 25 ex_fr_female$Type: Predicted Year: 2009 Ex: 60.214224","Age: 25 ex_fr_female$Type: Predicted Year: 2010 Ex: 60.422351","Age: 25 ex_fr_female$Type: Predicted Year: 2011 Ex: 60.744324","Age: 25 ex_fr_female$Type: Predicted Year: 2012 Ex: 60.594845","Age: 25 ex_fr_female$Type: Predicted Year: 2013 Ex: 60.799631","Age: 25 ex_fr_female$Type: Predicted Year: 2014 Ex: 61.164724","Age: 25 ex_fr_female$Type: Predicted Year: 2015 Ex: 60.896772","Age: 25 ex_fr_female$Type: Predicted Year: 2016 Ex: 61.071216","Age: 25 ex_fr_female$Type: Predicted Year: 2017 Ex: 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36.840000","Age: 26 ex_fr_female$Type: Observed Year: 1832 Ex: 33.040000","Age: 26 ex_fr_female$Type: Observed Year: 1833 Ex: 36.200000","Age: 26 ex_fr_female$Type: Observed Year: 1834 Ex: 35.280000","Age: 26 ex_fr_female$Type: Observed Year: 1835 Ex: 36.290000","Age: 26 ex_fr_female$Type: Observed Year: 1836 Ex: 37.400000","Age: 26 ex_fr_female$Type: Observed Year: 1837 Ex: 35.150000","Age: 26 ex_fr_female$Type: Observed Year: 1838 Ex: 36.490000","Age: 26 ex_fr_female$Type: Observed Year: 1839 Ex: 37.160000","Age: 26 ex_fr_female$Type: Observed Year: 1840 Ex: 36.370000","Age: 26 ex_fr_female$Type: Observed Year: 1841 Ex: 37.300000","Age: 26 ex_fr_female$Type: Observed Year: 1842 Ex: 36.580000","Age: 26 ex_fr_female$Type: Observed Year: 1843 Ex: 37.160000","Age: 26 ex_fr_female$Type: Observed Year: 1844 Ex: 37.460000","Age: 26 ex_fr_female$Type: Observed Year: 1845 Ex: 37.950000","Age: 26 ex_fr_female$Type: Observed Year: 1846 Ex: 37.210000","Age: 26 ex_fr_female$Type: Observed Year: 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39.010000","Age: 26 ex_fr_female$Type: Observed Year: 1895 Ex: 38.620000","Age: 26 ex_fr_female$Type: Observed Year: 1896 Ex: 39.680000","Age: 26 ex_fr_female$Type: Observed Year: 1897 Ex: 40.230000","Age: 26 ex_fr_female$Type: Observed Year: 1898 Ex: 39.350000","Age: 26 ex_fr_female$Type: Observed Year: 1899 Ex: 39.160000","Age: 26 ex_fr_female$Type: Observed Year: 1900 Ex: 38.270000","Age: 26 ex_fr_female$Type: Observed Year: 1901 Ex: 39.360000","Age: 26 ex_fr_female$Type: Observed Year: 1902 Ex: 39.710000","Age: 26 ex_fr_female$Type: Observed Year: 1903 Ex: 39.890000","Age: 26 ex_fr_female$Type: Observed Year: 1904 Ex: 39.940000","Age: 26 ex_fr_female$Type: Observed Year: 1905 Ex: 39.540000","Age: 26 ex_fr_female$Type: Observed Year: 1906 Ex: 39.550000","Age: 26 ex_fr_female$Type: Observed Year: 1907 Ex: 39.090000","Age: 26 ex_fr_female$Type: Observed Year: 1908 Ex: 40.000000","Age: 26 ex_fr_female$Type: Observed Year: 1909 Ex: 39.690000","Age: 26 ex_fr_female$Type: Observed Year: 1910 Ex: 40.710000","Age: 26 ex_fr_female$Type: Observed Year: 1911 Ex: 40.110000","Age: 26 ex_fr_female$Type: Observed Year: 1912 Ex: 40.930000","Age: 26 ex_fr_female$Type: Observed Year: 1913 Ex: 41.000000","Age: 26 ex_fr_female$Type: Observed Year: 1914 Ex: 40.280000","Age: 26 ex_fr_female$Type: Observed Year: 1915 Ex: 40.280000","Age: 26 ex_fr_female$Type: Observed Year: 1916 Ex: 40.830000","Age: 26 ex_fr_female$Type: Observed Year: 1917 Ex: 40.830000","Age: 26 ex_fr_female$Type: Observed Year: 1918 Ex: 35.850000","Age: 26 ex_fr_female$Type: Observed Year: 1919 Ex: 39.800000","Age: 26 ex_fr_female$Type: Observed Year: 1920 Ex: 41.580000","Age: 26 ex_fr_female$Type: Observed Year: 1921 Ex: 41.720000","Age: 26 ex_fr_female$Type: Observed Year: 1922 Ex: 41.400000","Age: 26 ex_fr_female$Type: Observed Year: 1923 Ex: 42.260000","Age: 26 ex_fr_female$Type: Observed Year: 1924 Ex: 41.950000","Age: 26 ex_fr_female$Type: Observed Year: 1925 Ex: 41.860000","Age: 26 ex_fr_female$Type: Observed Year: 1926 Ex: 41.900000","Age: 26 ex_fr_female$Type: Observed Year: 1927 Ex: 42.500000","Age: 26 ex_fr_female$Type: Observed Year: 1928 Ex: 42.780000","Age: 26 ex_fr_female$Type: Observed Year: 1929 Ex: 41.750000","Age: 26 ex_fr_female$Type: Observed Year: 1930 Ex: 43.260000","Age: 26 ex_fr_female$Type: Observed Year: 1931 Ex: 42.760000","Age: 26 ex_fr_female$Type: Observed Year: 1932 Ex: 43.200000","Age: 26 ex_fr_female$Type: Observed Year: 1933 Ex: 43.210000","Age: 26 ex_fr_female$Type: Observed Year: 1934 Ex: 43.910000","Age: 26 ex_fr_female$Type: Observed Year: 1935 Ex: 43.370000","Age: 26 ex_fr_female$Type: Observed Year: 1936 Ex: 43.870000","Age: 26 ex_fr_female$Type: Observed Year: 1937 Ex: 44.220000","Age: 26 ex_fr_female$Type: Observed Year: 1938 Ex: 44.010000","Age: 26 ex_fr_female$Type: Observed Year: 1939 Ex: 44.180000","Age: 26 ex_fr_female$Type: Observed Year: 1940 Ex: 42.400000","Age: 26 ex_fr_female$Type: Observed Year: 1941 Ex: 43.670000","Age: 26 ex_fr_female$Type: Observed Year: 1942 Ex: 43.980000","Age: 26 ex_fr_female$Type: Observed Year: 1943 Ex: 42.620000","Age: 26 ex_fr_female$Type: Observed Year: 1944 Ex: 39.050000","Age: 26 ex_fr_female$Type: Observed Year: 1945 Ex: 43.830000","Age: 26 ex_fr_female$Type: Observed Year: 1946 Ex: 46.930000","Age: 26 ex_fr_female$Type: Observed Year: 1947 Ex: 47.490000","Age: 26 ex_fr_female$Type: Observed Year: 1948 Ex: 48.160000","Age: 26 ex_fr_female$Type: Observed Year: 1949 Ex: 47.160000","Age: 26 ex_fr_female$Type: Observed Year: 1950 Ex: 48.010000","Age: 26 ex_fr_female$Type: Observed Year: 1951 Ex: 47.570000","Age: 26 ex_fr_female$Type: Observed Year: 1952 Ex: 48.530000","Age: 26 ex_fr_female$Type: Observed Year: 1953 Ex: 48.040000","Age: 26 ex_fr_female$Type: Observed Year: 1954 Ex: 48.980000","Age: 26 ex_fr_female$Type: Observed Year: 1955 Ex: 49.100000","Age: 26 ex_fr_female$Type: Observed Year: 1956 Ex: 48.960000","Age: 26 ex_fr_female$Type: Observed Year: 1957 Ex: 49.450000","Age: 26 ex_fr_female$Type: Observed Year: 1958 Ex: 50.220000","Age: 26 ex_fr_female$Type: Observed Year: 1959 Ex: 50.250000","Age: 26 ex_fr_female$Type: Observed Year: 1960 Ex: 50.250000","Age: 26 ex_fr_female$Type: Observed Year: 1961 Ex: 50.910000","Age: 26 ex_fr_female$Type: Observed Year: 1962 Ex: 50.400000","Age: 26 ex_fr_female$Type: Observed Year: 1963 Ex: 50.340000","Age: 26 ex_fr_female$Type: Observed Year: 1964 Ex: 51.170000","Age: 26 ex_fr_female$Type: Observed Year: 1965 Ex: 50.940000","Age: 26 ex_fr_female$Type: Observed Year: 1966 Ex: 51.370000","Age: 26 ex_fr_female$Type: Observed Year: 1967 Ex: 51.350000","Age: 26 ex_fr_female$Type: Observed Year: 1968 Ex: 51.380000","Age: 26 ex_fr_female$Type: Observed Year: 1969 Ex: 51.160000","Age: 26 ex_fr_female$Type: Observed Year: 1970 Ex: 51.810000","Age: 26 ex_fr_female$Type: Observed Year: 1971 Ex: 51.840000","Age: 26 ex_fr_female$Type: Observed Year: 1972 Ex: 52.060000","Age: 26 ex_fr_female$Type: Observed Year: 1973 Ex: 52.140000","Age: 26 ex_fr_female$Type: Observed Year: 1974 Ex: 52.450000","Age: 26 ex_fr_female$Type: Observed Year: 1975 Ex: 52.500000","Age: 26 ex_fr_female$Type: Observed Year: 1976 Ex: 52.770000","Age: 26 ex_fr_female$Type: Observed Year: 1977 Ex: 53.350000","Age: 26 ex_fr_female$Type: Observed Year: 1978 Ex: 53.370000","Age: 26 ex_fr_female$Type: Observed Year: 1979 Ex: 53.660000","Age: 26 ex_fr_female$Type: Observed Year: 1980 Ex: 53.780000","Age: 26 ex_fr_female$Type: Observed Year: 1981 Ex: 53.830000","Age: 26 ex_fr_female$Type: Observed Year: 1982 Ex: 54.190000","Age: 26 ex_fr_female$Type: Observed Year: 1983 Ex: 54.080000","Age: 26 ex_fr_female$Type: Observed Year: 1984 Ex: 54.550000","Age: 26 ex_fr_female$Type: Observed Year: 1985 Ex: 54.600000","Age: 26 ex_fr_female$Type: Observed Year: 1986 Ex: 54.850000","Age: 26 ex_fr_female$Type: Observed Year: 1987 Ex: 55.350000","Age: 26 ex_fr_female$Type: Observed Year: 1988 Ex: 55.550000","Age: 26 ex_fr_female$Type: Observed Year: 1989 Ex: 55.710000","Age: 26 ex_fr_female$Type: Observed Year: 1990 Ex: 55.960000","Age: 26 ex_fr_female$Type: Observed Year: 1991 Ex: 56.180000","Age: 26 ex_fr_female$Type: Observed Year: 1992 Ex: 56.390000","Age: 26 ex_fr_female$Type: Observed Year: 1993 Ex: 56.370000","Age: 26 ex_fr_female$Type: Observed Year: 1994 Ex: 56.750000","Age: 26 ex_fr_female$Type: Observed Year: 1995 Ex: 56.720000","Age: 26 ex_fr_female$Type: Observed Year: 1996 Ex: 56.810000","Age: 26 ex_fr_female$Type: Observed Year: 1997 Ex: 57.050000","Age: 26 ex_fr_female$Type: Observed Year: 1998 Ex: 57.150000","Age: 26 ex_fr_female$Type: Observed Year: 1999 Ex: 57.230000","Age: 26 ex_fr_female$Type: Observed Year: 2000 Ex: 57.500000","Age: 26 ex_fr_female$Type: Observed Year: 2001 Ex: 57.650000","Age: 26 ex_fr_female$Type: Observed Year: 2002 Ex: 57.700000","Age: 26 ex_fr_female$Type: Observed Year: 2003 Ex: 57.570000","Age: 26 ex_fr_female$Type: Observed Year: 2004 Ex: 58.470000","Age: 26 ex_fr_female$Type: Observed Year: 2005 Ex: 58.390000","Age: 26 ex_fr_female$Type: Observed Year: 2006 Ex: 58.740000","Age: 26 ex_fr_female$Type: Observed Year: 2007 Ex: 58.910000","Age: 26 ex_fr_female$Type: Observed Year: 2008 Ex: 58.880000","Age: 26 ex_fr_female$Type: Observed Year: 2009 Ex: 58.980000","Age: 26 ex_fr_female$Type: Observed Year: 2010 Ex: 59.190000","Age: 26 ex_fr_female$Type: Observed Year: 2011 Ex: 59.510000","Age: 26 ex_fr_female$Type: Observed Year: 2012 Ex: 59.360000","Age: 26 ex_fr_female$Type: Observed Year: 2013 Ex: 59.560000","Age: 26 ex_fr_female$Type: Observed Year: 2014 Ex: 59.930000","Age: 26 ex_fr_female$Type: Observed Year: 2015 Ex: 59.660000","Age: 26 ex_fr_female$Type: Observed Year: 2016 Ex: 59.830000","Age: 26 ex_fr_female$Type: Observed Year: 2017 Ex: 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26 ex_fr_female$Type: Predicted Year: 1816 Ex: 36.535904","Age: 26 ex_fr_female$Type: Predicted Year: 1817 Ex: 36.446673","Age: 26 ex_fr_female$Type: Predicted Year: 1818 Ex: 36.203328","Age: 26 ex_fr_female$Type: Predicted Year: 1819 Ex: 36.274650","Age: 26 ex_fr_female$Type: Predicted Year: 1820 Ex: 36.330273","Age: 26 ex_fr_female$Type: Predicted Year: 1821 Ex: 37.464978","Age: 26 ex_fr_female$Type: Predicted Year: 1822 Ex: 37.418883","Age: 26 ex_fr_female$Type: Predicted Year: 1823 Ex: 37.840679","Age: 26 ex_fr_female$Type: Predicted Year: 1824 Ex: 37.803864","Age: 26 ex_fr_female$Type: Predicted Year: 1825 Ex: 37.162514","Age: 26 ex_fr_female$Type: Predicted Year: 1826 Ex: 36.521101","Age: 26 ex_fr_female$Type: Predicted Year: 1827 Ex: 36.772441","Age: 26 ex_fr_female$Type: Predicted Year: 1828 Ex: 36.533030","Age: 26 ex_fr_female$Type: Predicted Year: 1829 Ex: 36.548018","Age: 26 ex_fr_female$Type: Predicted Year: 1830 Ex: 36.610737","Age: 26 ex_fr_female$Type: Predicted Year: 1831 Ex: 37.103088","Age: 26 ex_fr_female$Type: Predicted Year: 1832 Ex: 33.305497","Age: 26 ex_fr_female$Type: Predicted Year: 1833 Ex: 36.463939","Age: 26 ex_fr_female$Type: Predicted Year: 1834 Ex: 35.545077","Age: 26 ex_fr_female$Type: Predicted Year: 1835 Ex: 36.546059","Age: 26 ex_fr_female$Type: Predicted Year: 1836 Ex: 37.658253","Age: 26 ex_fr_female$Type: Predicted Year: 1837 Ex: 35.412868","Age: 26 ex_fr_female$Type: Predicted Year: 1838 Ex: 36.750826","Age: 26 ex_fr_female$Type: Predicted Year: 1839 Ex: 37.425454","Age: 26 ex_fr_female$Type: Predicted Year: 1840 Ex: 36.627525","Age: 26 ex_fr_female$Type: Predicted Year: 1841 Ex: 37.556276","Age: 26 ex_fr_female$Type: Predicted Year: 1842 Ex: 36.842076","Age: 26 ex_fr_female$Type: Predicted Year: 1843 Ex: 37.421325","Age: 26 ex_fr_female$Type: Predicted Year: 1844 Ex: 37.716196","Age: 26 ex_fr_female$Type: Predicted Year: 1845 Ex: 38.207070","Age: 26 ex_fr_female$Type: Predicted Year: 1846 Ex: 37.468376","Age: 26 ex_fr_female$Type: Predicted Year: 1847 Ex: 36.216339","Age: 26 ex_fr_female$Type: Predicted Year: 1848 Ex: 36.510865","Age: 26 ex_fr_female$Type: Predicted Year: 1849 Ex: 33.871338","Age: 26 ex_fr_female$Type: Predicted Year: 1850 Ex: 37.831147","Age: 26 ex_fr_female$Type: Predicted Year: 1851 Ex: 37.662060","Age: 26 ex_fr_female$Type: Predicted Year: 1852 Ex: 37.501444","Age: 26 ex_fr_female$Type: Predicted Year: 1853 Ex: 37.406921","Age: 26 ex_fr_female$Type: Predicted Year: 1854 Ex: 33.769321","Age: 26 ex_fr_female$Type: Predicted Year: 1855 Ex: 35.835574","Age: 26 ex_fr_female$Type: Predicted Year: 1856 Ex: 37.463723","Age: 26 ex_fr_female$Type: Predicted Year: 1857 Ex: 36.995649","Age: 26 ex_fr_female$Type: Predicted Year: 1858 Ex: 36.418498","Age: 26 ex_fr_female$Type: Predicted Year: 1859 Ex: 36.366579","Age: 26 ex_fr_female$Type: Predicted Year: 1860 Ex: 38.139578","Age: 26 ex_fr_female$Type: Predicted Year: 1861 Ex: 37.906626","Age: 26 ex_fr_female$Type: Predicted Year: 1862 Ex: 38.311000","Age: 26 ex_fr_female$Type: Predicted Year: 1863 Ex: 38.076122","Age: 26 ex_fr_female$Type: Predicted Year: 1864 Ex: 37.621563","Age: 26 ex_fr_female$Type: Predicted Year: 1865 Ex: 37.032786","Age: 26 ex_fr_female$Type: Predicted Year: 1866 Ex: 37.016165","Age: 26 ex_fr_female$Type: Predicted Year: 1867 Ex: 37.908928","Age: 26 ex_fr_female$Type: Predicted Year: 1868 Ex: 37.497783","Age: 26 ex_fr_female$Type: Predicted Year: 1869 Ex: 37.582943","Age: 26 ex_fr_female$Type: Predicted Year: 1870 Ex: 35.255327","Age: 26 ex_fr_female$Type: Predicted Year: 1871 Ex: 32.089847","Age: 26 ex_fr_female$Type: Predicted Year: 1872 Ex: 38.454775","Age: 26 ex_fr_female$Type: Predicted Year: 1873 Ex: 37.911428","Age: 26 ex_fr_female$Type: Predicted Year: 1874 Ex: 38.680262","Age: 26 ex_fr_female$Type: Predicted Year: 1875 Ex: 37.663514","Age: 26 ex_fr_female$Type: Predicted Year: 1876 Ex: 38.192596","Age: 26 ex_fr_female$Type: Predicted Year: 1877 Ex: 38.629902","Age: 26 ex_fr_female$Type: Predicted Year: 1878 Ex: 38.263270","Age: 26 ex_fr_female$Type: Predicted Year: 1879 Ex: 38.038817","Age: 26 ex_fr_female$Type: Predicted Year: 1880 Ex: 38.195693","Age: 26 ex_fr_female$Type: Predicted Year: 1881 Ex: 38.562973","Age: 26 ex_fr_female$Type: Predicted Year: 1882 Ex: 38.407525","Age: 26 ex_fr_female$Type: Predicted Year: 1883 Ex: 38.372072","Age: 26 ex_fr_female$Type: Predicted Year: 1884 Ex: 38.355830","Age: 26 ex_fr_female$Type: Predicted Year: 1885 Ex: 38.499501","Age: 26 ex_fr_female$Type: Predicted Year: 1886 Ex: 38.333150","Age: 26 ex_fr_female$Type: Predicted Year: 1887 Ex: 38.411138","Age: 26 ex_fr_female$Type: Predicted Year: 1888 Ex: 38.988627","Age: 26 ex_fr_female$Type: Predicted Year: 1889 Ex: 39.484908","Age: 26 ex_fr_female$Type: Predicted Year: 1890 Ex: 38.438088","Age: 26 ex_fr_female$Type: Predicted Year: 1891 Ex: 38.239958","Age: 26 ex_fr_female$Type: Predicted Year: 1892 Ex: 38.476801","Age: 26 ex_fr_female$Type: Predicted Year: 1893 Ex: 38.509445","Age: 26 ex_fr_female$Type: Predicted Year: 1894 Ex: 39.264006","Age: 26 ex_fr_female$Type: Predicted Year: 1895 Ex: 38.866301","Age: 26 ex_fr_female$Type: Predicted Year: 1896 Ex: 39.934756","Age: 26 ex_fr_female$Type: Predicted Year: 1897 Ex: 40.485832","Age: 26 ex_fr_female$Type: Predicted Year: 1898 Ex: 39.600739","Age: 26 ex_fr_female$Type: Predicted Year: 1899 Ex: 39.406855","Age: 26 ex_fr_female$Type: Predicted Year: 1900 Ex: 38.516019","Age: 26 ex_fr_female$Type: Predicted Year: 1901 Ex: 39.605520","Age: 26 ex_fr_female$Type: Predicted Year: 1902 Ex: 39.955580","Age: 26 ex_fr_female$Type: Predicted Year: 1903 Ex: 40.134922","Age: 26 ex_fr_female$Type: Predicted Year: 1904 Ex: 40.185647","Age: 26 ex_fr_female$Type: Predicted Year: 1905 Ex: 39.783683","Age: 26 ex_fr_female$Type: Predicted Year: 1906 Ex: 39.797673","Age: 26 ex_fr_female$Type: Predicted Year: 1907 Ex: 39.338883","Age: 26 ex_fr_female$Type: Predicted Year: 1908 Ex: 40.251058","Age: 26 ex_fr_female$Type: Predicted Year: 1909 Ex: 39.943449","Age: 26 ex_fr_female$Type: Predicted Year: 1910 Ex: 40.961132","Age: 26 ex_fr_female$Type: Predicted Year: 1911 Ex: 40.354736","Age: 26 ex_fr_female$Type: Predicted Year: 1912 Ex: 41.177947","Age: 26 ex_fr_female$Type: Predicted Year: 1913 Ex: 41.252217","Age: 26 ex_fr_female$Type: Predicted Year: 1914 Ex: 40.531444","Age: 26 ex_fr_female$Type: Predicted Year: 1915 Ex: 40.526364","Age: 26 ex_fr_female$Type: Predicted Year: 1916 Ex: 41.075223","Age: 26 ex_fr_female$Type: Predicted Year: 1917 Ex: 41.079577","Age: 26 ex_fr_female$Type: Predicted Year: 1918 Ex: 36.109217","Age: 26 ex_fr_female$Type: Predicted Year: 1919 Ex: 40.040548","Age: 26 ex_fr_female$Type: Predicted Year: 1920 Ex: 41.825702","Age: 26 ex_fr_female$Type: Predicted Year: 1921 Ex: 41.965786","Age: 26 ex_fr_female$Type: Predicted Year: 1922 Ex: 41.644552","Age: 26 ex_fr_female$Type: Predicted Year: 1923 Ex: 42.505481","Age: 26 ex_fr_female$Type: Predicted Year: 1924 Ex: 42.198551","Age: 26 ex_fr_female$Type: Predicted Year: 1925 Ex: 42.110709","Age: 26 ex_fr_female$Type: Predicted Year: 1926 Ex: 42.151422","Age: 26 ex_fr_female$Type: Predicted Year: 1927 Ex: 42.743951","Age: 26 ex_fr_female$Type: Predicted Year: 1928 Ex: 43.025019","Age: 26 ex_fr_female$Type: Predicted Year: 1929 Ex: 41.992672","Age: 26 ex_fr_female$Type: Predicted Year: 1930 Ex: 43.511711","Age: 26 ex_fr_female$Type: Predicted Year: 1931 Ex: 43.004418","Age: 26 ex_fr_female$Type: Predicted Year: 1932 Ex: 43.442802","Age: 26 ex_fr_female$Type: Predicted Year: 1933 Ex: 43.460844","Age: 26 ex_fr_female$Type: Predicted Year: 1934 Ex: 44.162251","Age: 26 ex_fr_female$Type: Predicted Year: 1935 Ex: 43.620545","Age: 26 ex_fr_female$Type: Predicted Year: 1936 Ex: 44.122646","Age: 26 ex_fr_female$Type: Predicted Year: 1937 Ex: 44.472209","Age: 26 ex_fr_female$Type: Predicted Year: 1938 Ex: 44.253513","Age: 26 ex_fr_female$Type: Predicted Year: 1939 Ex: 44.425152","Age: 26 ex_fr_female$Type: Predicted Year: 1940 Ex: 42.646486","Age: 26 ex_fr_female$Type: Predicted Year: 1941 Ex: 43.920135","Age: 26 ex_fr_female$Type: Predicted Year: 1942 Ex: 44.221017","Age: 26 ex_fr_female$Type: Predicted Year: 1943 Ex: 42.861901","Age: 26 ex_fr_female$Type: Predicted Year: 1944 Ex: 39.303401","Age: 26 ex_fr_female$Type: Predicted Year: 1945 Ex: 44.072337","Age: 26 ex_fr_female$Type: Predicted Year: 1946 Ex: 47.181164","Age: 26 ex_fr_female$Type: Predicted Year: 1947 Ex: 47.739793","Age: 26 ex_fr_female$Type: Predicted Year: 1948 Ex: 48.412126","Age: 26 ex_fr_female$Type: Predicted Year: 1949 Ex: 47.412525","Age: 26 ex_fr_female$Type: Predicted Year: 1950 Ex: 48.264149","Age: 26 ex_fr_female$Type: Predicted Year: 1951 Ex: 47.816061","Age: 26 ex_fr_female$Type: Predicted Year: 1952 Ex: 48.780820","Age: 26 ex_fr_female$Type: Predicted Year: 1953 Ex: 48.292544","Age: 26 ex_fr_female$Type: Predicted Year: 1954 Ex: 49.235576","Age: 26 ex_fr_female$Type: Predicted Year: 1955 Ex: 49.350063","Age: 26 ex_fr_female$Type: Predicted Year: 1956 Ex: 49.210514","Age: 26 ex_fr_female$Type: Predicted Year: 1957 Ex: 49.697440","Age: 26 ex_fr_female$Type: Predicted Year: 1958 Ex: 50.474350","Age: 26 ex_fr_female$Type: Predicted Year: 1959 Ex: 50.508720","Age: 26 ex_fr_female$Type: Predicted Year: 1960 Ex: 50.503729","Age: 26 ex_fr_female$Type: Predicted Year: 1961 Ex: 51.164813","Age: 26 ex_fr_female$Type: Predicted Year: 1962 Ex: 50.658530","Age: 26 ex_fr_female$Type: Predicted Year: 1963 Ex: 50.592673","Age: 26 ex_fr_female$Type: Predicted Year: 1964 Ex: 51.425955","Age: 26 ex_fr_female$Type: Predicted Year: 1965 Ex: 51.198829","Age: 26 ex_fr_female$Type: Predicted Year: 1966 Ex: 51.624577","Age: 26 ex_fr_female$Type: Predicted Year: 1967 Ex: 51.610575","Age: 26 ex_fr_female$Type: Predicted Year: 1968 Ex: 51.634533","Age: 26 ex_fr_female$Type: Predicted Year: 1969 Ex: 51.415423","Age: 26 ex_fr_female$Type: Predicted Year: 1970 Ex: 52.065833","Age: 26 ex_fr_female$Type: Predicted Year: 1971 Ex: 52.088565","Age: 26 ex_fr_female$Type: Predicted Year: 1972 Ex: 52.315139","Age: 26 ex_fr_female$Type: Predicted Year: 1973 Ex: 52.392977","Age: 26 ex_fr_female$Type: Predicted Year: 1974 Ex: 52.703241","Age: 26 ex_fr_female$Type: Predicted Year: 1975 Ex: 52.750657","Age: 26 ex_fr_female$Type: Predicted Year: 1976 Ex: 53.020287","Age: 26 ex_fr_female$Type: Predicted Year: 1977 Ex: 53.605017","Age: 26 ex_fr_female$Type: Predicted Year: 1978 Ex: 53.623401","Age: 26 ex_fr_female$Type: Predicted Year: 1979 Ex: 53.915871","Age: 26 ex_fr_female$Type: Predicted Year: 1980 Ex: 54.039043","Age: 26 ex_fr_female$Type: Predicted Year: 1981 Ex: 54.087565","Age: 26 ex_fr_female$Type: Predicted Year: 1982 Ex: 54.441526","Age: 26 ex_fr_female$Type: Predicted Year: 1983 Ex: 54.334673","Age: 26 ex_fr_female$Type: Predicted Year: 1984 Ex: 54.806578","Age: 26 ex_fr_female$Type: Predicted Year: 1985 Ex: 54.857762","Age: 26 ex_fr_female$Type: Predicted Year: 1986 Ex: 55.101068","Age: 26 ex_fr_female$Type: Predicted Year: 1987 Ex: 55.606570","Age: 26 ex_fr_female$Type: Predicted Year: 1988 Ex: 55.804754","Age: 26 ex_fr_female$Type: Predicted Year: 1989 Ex: 55.965461","Age: 26 ex_fr_female$Type: Predicted Year: 1990 Ex: 56.213634","Age: 26 ex_fr_female$Type: Predicted Year: 1991 Ex: 56.432386","Age: 26 ex_fr_female$Type: Predicted Year: 1992 Ex: 56.645207","Age: 26 ex_fr_female$Type: Predicted Year: 1993 Ex: 56.622536","Age: 26 ex_fr_female$Type: Predicted Year: 1994 Ex: 57.000774","Age: 26 ex_fr_female$Type: Predicted Year: 1995 Ex: 56.970327","Age: 26 ex_fr_female$Type: Predicted Year: 1996 Ex: 57.057054","Age: 26 ex_fr_female$Type: Predicted Year: 1997 Ex: 57.305845","Age: 26 ex_fr_female$Type: Predicted Year: 1998 Ex: 57.406220","Age: 26 ex_fr_female$Type: Predicted Year: 1999 Ex: 57.479150","Age: 26 ex_fr_female$Type: Predicted Year: 2000 Ex: 57.752870","Age: 26 ex_fr_female$Type: Predicted Year: 2001 Ex: 57.905623","Age: 26 ex_fr_female$Type: Predicted Year: 2002 Ex: 57.957263","Age: 26 ex_fr_female$Type: Predicted Year: 2003 Ex: 57.820677","Age: 26 ex_fr_female$Type: Predicted Year: 2004 Ex: 58.715635","Age: 26 ex_fr_female$Type: Predicted Year: 2005 Ex: 58.641187","Age: 26 ex_fr_female$Type: Predicted Year: 2006 Ex: 58.996937","Age: 26 ex_fr_female$Type: Predicted Year: 2007 Ex: 59.163938","Age: 26 ex_fr_female$Type: Predicted Year: 2008 Ex: 59.129319","Age: 26 ex_fr_female$Type: Predicted Year: 2009 Ex: 59.230349","Age: 26 ex_fr_female$Type: Predicted Year: 2010 Ex: 59.438532","Age: 26 ex_fr_female$Type: Predicted Year: 2011 Ex: 59.760592","Age: 26 ex_fr_female$Type: Predicted Year: 2012 Ex: 59.609870","Age: 26 ex_fr_female$Type: Predicted Year: 2013 Ex: 59.812295","Age: 26 ex_fr_female$Type: Predicted Year: 2014 Ex: 60.178679","Age: 26 ex_fr_female$Type: Predicted Year: 2015 Ex: 59.911269","Age: 26 ex_fr_female$Type: Predicted Year: 2016 Ex: 60.085149","Age: 26 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1926 Ex: 41.140000","Age: 27 ex_fr_female$Type: Observed Year: 1927 Ex: 41.720000","Age: 27 ex_fr_female$Type: Observed Year: 1928 Ex: 42.000000","Age: 27 ex_fr_female$Type: Observed Year: 1929 Ex: 40.980000","Age: 27 ex_fr_female$Type: Observed Year: 1930 Ex: 42.470000","Age: 27 ex_fr_female$Type: Observed Year: 1931 Ex: 41.970000","Age: 27 ex_fr_female$Type: Observed Year: 1932 Ex: 42.380000","Age: 27 ex_fr_female$Type: Observed Year: 1933 Ex: 42.410000","Age: 27 ex_fr_female$Type: Observed Year: 1934 Ex: 43.090000","Age: 27 ex_fr_female$Type: Observed Year: 1935 Ex: 42.560000","Age: 27 ex_fr_female$Type: Observed Year: 1936 Ex: 43.050000","Age: 27 ex_fr_female$Type: Observed Year: 1937 Ex: 43.400000","Age: 27 ex_fr_female$Type: Observed Year: 1938 Ex: 43.190000","Age: 27 ex_fr_female$Type: Observed Year: 1939 Ex: 43.340000","Age: 27 ex_fr_female$Type: Observed Year: 1940 Ex: 41.570000","Age: 27 ex_fr_female$Type: Observed Year: 1941 Ex: 42.830000","Age: 27 ex_fr_female$Type: Observed Year: 1942 Ex: 43.160000","Age: 27 ex_fr_female$Type: Observed Year: 1943 Ex: 42.080000","Age: 27 ex_fr_female$Type: Observed Year: 1944 Ex: 38.740000","Age: 27 ex_fr_female$Type: Observed Year: 1945 Ex: 43.130000","Age: 27 ex_fr_female$Type: Observed Year: 1946 Ex: 46.060000","Age: 27 ex_fr_female$Type: Observed Year: 1947 Ex: 46.600000","Age: 27 ex_fr_female$Type: Observed Year: 1948 Ex: 47.260000","Age: 27 ex_fr_female$Type: Observed Year: 1949 Ex: 46.250000","Age: 27 ex_fr_female$Type: Observed Year: 1950 Ex: 47.090000","Age: 27 ex_fr_female$Type: Observed Year: 1951 Ex: 46.640000","Age: 27 ex_fr_female$Type: Observed Year: 1952 Ex: 47.590000","Age: 27 ex_fr_female$Type: Observed Year: 1953 Ex: 47.100000","Age: 27 ex_fr_female$Type: Observed Year: 1954 Ex: 48.030000","Age: 27 ex_fr_female$Type: Observed Year: 1955 Ex: 48.150000","Age: 27 ex_fr_female$Type: Observed Year: 1956 Ex: 48.010000","Age: 27 ex_fr_female$Type: Observed Year: 1957 Ex: 48.480000","Age: 27 ex_fr_female$Type: Observed Year: 1958 Ex: 49.260000","Age: 27 ex_fr_female$Type: Observed Year: 1959 Ex: 49.300000","Age: 27 ex_fr_female$Type: Observed Year: 1960 Ex: 49.290000","Age: 27 ex_fr_female$Type: Observed Year: 1961 Ex: 49.950000","Age: 27 ex_fr_female$Type: Observed Year: 1962 Ex: 49.440000","Age: 27 ex_fr_female$Type: Observed Year: 1963 Ex: 49.380000","Age: 27 ex_fr_female$Type: Observed Year: 1964 Ex: 50.200000","Age: 27 ex_fr_female$Type: Observed Year: 1965 Ex: 49.980000","Age: 27 ex_fr_female$Type: Observed Year: 1966 Ex: 50.410000","Age: 27 ex_fr_female$Type: Observed Year: 1967 Ex: 50.390000","Age: 27 ex_fr_female$Type: Observed Year: 1968 Ex: 50.420000","Age: 27 ex_fr_female$Type: Observed Year: 1969 Ex: 50.200000","Age: 27 ex_fr_female$Type: Observed Year: 1970 Ex: 50.850000","Age: 27 ex_fr_female$Type: Observed Year: 1971 Ex: 50.870000","Age: 27 ex_fr_female$Type: Observed Year: 1972 Ex: 51.100000","Age: 27 ex_fr_female$Type: Observed Year: 1973 Ex: 51.170000","Age: 27 ex_fr_female$Type: Observed Year: 1974 Ex: 51.480000","Age: 27 ex_fr_female$Type: Observed Year: 1975 Ex: 51.530000","Age: 27 ex_fr_female$Type: Observed Year: 1976 Ex: 51.800000","Age: 27 ex_fr_female$Type: Observed Year: 1977 Ex: 52.380000","Age: 27 ex_fr_female$Type: Observed Year: 1978 Ex: 52.400000","Age: 27 ex_fr_female$Type: Observed Year: 1979 Ex: 52.690000","Age: 27 ex_fr_female$Type: Observed Year: 1980 Ex: 52.820000","Age: 27 ex_fr_female$Type: Observed Year: 1981 Ex: 52.860000","Age: 27 ex_fr_female$Type: Observed Year: 1982 Ex: 53.220000","Age: 27 ex_fr_female$Type: Observed Year: 1983 Ex: 53.110000","Age: 27 ex_fr_female$Type: Observed Year: 1984 Ex: 53.580000","Age: 27 ex_fr_female$Type: Observed Year: 1985 Ex: 53.630000","Age: 27 ex_fr_female$Type: Observed Year: 1986 Ex: 53.870000","Age: 27 ex_fr_female$Type: Observed Year: 1987 Ex: 54.380000","Age: 27 ex_fr_female$Type: Observed Year: 1988 Ex: 54.580000","Age: 27 ex_fr_female$Type: Observed Year: 1989 Ex: 54.740000","Age: 27 ex_fr_female$Type: Observed Year: 1990 Ex: 54.990000","Age: 27 ex_fr_female$Type: Observed Year: 1991 Ex: 55.210000","Age: 27 ex_fr_female$Type: Observed Year: 1992 Ex: 55.420000","Age: 27 ex_fr_female$Type: Observed Year: 1993 Ex: 55.400000","Age: 27 ex_fr_female$Type: Observed Year: 1994 Ex: 55.780000","Age: 27 ex_fr_female$Type: Observed Year: 1995 Ex: 55.750000","Age: 27 ex_fr_female$Type: Observed Year: 1996 Ex: 55.840000","Age: 27 ex_fr_female$Type: Observed Year: 1997 Ex: 56.080000","Age: 27 ex_fr_female$Type: Observed Year: 1998 Ex: 56.180000","Age: 27 ex_fr_female$Type: Observed Year: 1999 Ex: 56.250000","Age: 27 ex_fr_female$Type: Observed Year: 2000 Ex: 56.520000","Age: 27 ex_fr_female$Type: Observed Year: 2001 Ex: 56.670000","Age: 27 ex_fr_female$Type: Observed Year: 2002 Ex: 56.720000","Age: 27 ex_fr_female$Type: Observed Year: 2003 Ex: 56.590000","Age: 27 ex_fr_female$Type: Observed Year: 2004 Ex: 57.480000","Age: 27 ex_fr_female$Type: Observed Year: 2005 Ex: 57.410000","Age: 27 ex_fr_female$Type: Observed Year: 2006 Ex: 57.760000","Age: 27 ex_fr_female$Type: Observed Year: 2007 Ex: 57.930000","Age: 27 ex_fr_female$Type: Observed Year: 2008 Ex: 57.890000","Age: 27 ex_fr_female$Type: Observed Year: 2009 Ex: 58.000000","Age: 27 ex_fr_female$Type: Observed Year: 2010 Ex: 58.200000","Age: 27 ex_fr_female$Type: Observed Year: 2011 Ex: 58.520000","Age: 27 ex_fr_female$Type: Observed Year: 2012 Ex: 58.380000","Age: 27 ex_fr_female$Type: Observed Year: 2013 Ex: 58.570000","Age: 27 ex_fr_female$Type: Observed Year: 2014 Ex: 58.940000","Age: 27 ex_fr_female$Type: Observed Year: 2015 Ex: 58.670000","Age: 27 ex_fr_female$Type: Observed Year: 2016 Ex: 58.850000","Age: 27 ex_fr_female$Type: Observed Year: 2017 Ex: 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27 ex_fr_female$Type: Predicted Year: 1816 Ex: 35.848969","Age: 27 ex_fr_female$Type: Predicted Year: 1817 Ex: 35.763314","Age: 27 ex_fr_female$Type: Predicted Year: 1818 Ex: 35.540163","Age: 27 ex_fr_female$Type: Predicted Year: 1819 Ex: 35.624439","Age: 27 ex_fr_female$Type: Predicted Year: 1820 Ex: 35.637937","Age: 27 ex_fr_female$Type: Predicted Year: 1821 Ex: 36.775676","Age: 27 ex_fr_female$Type: Predicted Year: 1822 Ex: 36.750047","Age: 27 ex_fr_female$Type: Predicted Year: 1823 Ex: 37.155287","Age: 27 ex_fr_female$Type: Predicted Year: 1824 Ex: 37.139611","Age: 27 ex_fr_female$Type: Predicted Year: 1825 Ex: 36.497298","Age: 27 ex_fr_female$Type: Predicted Year: 1826 Ex: 35.872209","Age: 27 ex_fr_female$Type: Predicted Year: 1827 Ex: 36.116110","Age: 27 ex_fr_female$Type: Predicted Year: 1828 Ex: 35.879524","Age: 27 ex_fr_female$Type: Predicted Year: 1829 Ex: 35.887742","Age: 27 ex_fr_female$Type: Predicted Year: 1830 Ex: 35.942304","Age: 27 ex_fr_female$Type: Predicted Year: 1831 Ex: 36.429573","Age: 27 ex_fr_female$Type: Predicted Year: 1832 Ex: 32.675652","Age: 27 ex_fr_female$Type: Predicted Year: 1833 Ex: 35.823206","Age: 27 ex_fr_female$Type: Predicted Year: 1834 Ex: 34.924201","Age: 27 ex_fr_female$Type: Predicted Year: 1835 Ex: 35.909788","Age: 27 ex_fr_female$Type: Predicted Year: 1836 Ex: 36.994939","Age: 27 ex_fr_female$Type: Predicted Year: 1837 Ex: 34.758462","Age: 27 ex_fr_female$Type: Predicted Year: 1838 Ex: 36.092827","Age: 27 ex_fr_female$Type: Predicted Year: 1839 Ex: 36.771211","Age: 27 ex_fr_female$Type: Predicted Year: 1840 Ex: 35.988061","Age: 27 ex_fr_female$Type: Predicted Year: 1841 Ex: 36.916725","Age: 27 ex_fr_female$Type: Predicted Year: 1842 Ex: 36.197413","Age: 27 ex_fr_female$Type: Predicted Year: 1843 Ex: 36.778970","Age: 27 ex_fr_female$Type: Predicted Year: 1844 Ex: 37.055660","Age: 27 ex_fr_female$Type: Predicted Year: 1845 Ex: 37.536935","Age: 27 ex_fr_female$Type: Predicted Year: 1846 Ex: 36.825731","Age: 27 ex_fr_female$Type: Predicted Year: 1847 Ex: 35.571690","Age: 27 ex_fr_female$Type: Predicted Year: 1848 Ex: 35.872056","Age: 27 ex_fr_female$Type: Predicted Year: 1849 Ex: 33.286373","Age: 27 ex_fr_female$Type: Predicted Year: 1850 Ex: 37.167139","Age: 27 ex_fr_female$Type: Predicted Year: 1851 Ex: 36.997281","Age: 27 ex_fr_female$Type: Predicted Year: 1852 Ex: 36.853141","Age: 27 ex_fr_female$Type: Predicted Year: 1853 Ex: 36.765545","Age: 27 ex_fr_female$Type: Predicted Year: 1854 Ex: 33.178372","Age: 27 ex_fr_female$Type: Predicted Year: 1855 Ex: 35.224628","Age: 27 ex_fr_female$Type: Predicted Year: 1856 Ex: 36.827378","Age: 27 ex_fr_female$Type: Predicted Year: 1857 Ex: 36.347328","Age: 27 ex_fr_female$Type: Predicted Year: 1858 Ex: 35.770057","Age: 27 ex_fr_female$Type: Predicted Year: 1859 Ex: 35.739367","Age: 27 ex_fr_female$Type: Predicted Year: 1860 Ex: 37.465056","Age: 27 ex_fr_female$Type: Predicted Year: 1861 Ex: 37.255000","Age: 27 ex_fr_female$Type: Predicted Year: 1862 Ex: 37.644063","Age: 27 ex_fr_female$Type: Predicted Year: 1863 Ex: 37.412045","Age: 27 ex_fr_female$Type: Predicted Year: 1864 Ex: 36.965034","Age: 27 ex_fr_female$Type: Predicted Year: 1865 Ex: 36.391464","Age: 27 ex_fr_female$Type: Predicted Year: 1866 Ex: 36.373204","Age: 27 ex_fr_female$Type: Predicted Year: 1867 Ex: 37.238072","Age: 27 ex_fr_female$Type: Predicted Year: 1868 Ex: 36.841229","Age: 27 ex_fr_female$Type: Predicted Year: 1869 Ex: 36.925683","Age: 27 ex_fr_female$Type: Predicted Year: 1870 Ex: 34.649590","Age: 27 ex_fr_female$Type: Predicted Year: 1871 Ex: 31.604818","Age: 27 ex_fr_female$Type: Predicted Year: 1872 Ex: 37.805573","Age: 27 ex_fr_female$Type: Predicted Year: 1873 Ex: 37.267399","Age: 27 ex_fr_female$Type: Predicted Year: 1874 Ex: 38.025053","Age: 27 ex_fr_female$Type: Predicted Year: 1875 Ex: 37.011875","Age: 27 ex_fr_female$Type: Predicted Year: 1876 Ex: 37.535645","Age: 27 ex_fr_female$Type: Predicted Year: 1877 Ex: 37.962312","Age: 27 ex_fr_female$Type: Predicted Year: 1878 Ex: 37.595531","Age: 27 ex_fr_female$Type: Predicted Year: 1879 Ex: 37.368725","Age: 27 ex_fr_female$Type: Predicted Year: 1880 Ex: 37.540292","Age: 27 ex_fr_female$Type: Predicted Year: 1881 Ex: 37.905936","Age: 27 ex_fr_female$Type: Predicted Year: 1882 Ex: 37.748705","Age: 27 ex_fr_female$Type: Predicted Year: 1883 Ex: 37.702616","Age: 27 ex_fr_female$Type: Predicted Year: 1884 Ex: 37.688142","Age: 27 ex_fr_female$Type: Predicted Year: 1885 Ex: 37.831541","Age: 27 ex_fr_female$Type: Predicted Year: 1886 Ex: 37.665263","Age: 27 ex_fr_female$Type: Predicted Year: 1887 Ex: 37.726729","Age: 27 ex_fr_female$Type: Predicted Year: 1888 Ex: 38.300876","Age: 27 ex_fr_female$Type: Predicted Year: 1889 Ex: 38.783895","Age: 27 ex_fr_female$Type: Predicted Year: 1890 Ex: 37.739753","Age: 27 ex_fr_female$Type: Predicted Year: 1891 Ex: 37.534721","Age: 27 ex_fr_female$Type: Predicted Year: 1892 Ex: 37.770735","Age: 27 ex_fr_female$Type: Predicted Year: 1893 Ex: 37.799802","Age: 27 ex_fr_female$Type: Predicted Year: 1894 Ex: 38.546849","Age: 27 ex_fr_female$Type: Predicted Year: 1895 Ex: 38.160157","Age: 27 ex_fr_female$Type: Predicted Year: 1896 Ex: 39.208989","Age: 27 ex_fr_female$Type: Predicted Year: 1897 Ex: 39.763898","Age: 27 ex_fr_female$Type: Predicted Year: 1898 Ex: 38.895098","Age: 27 ex_fr_female$Type: Predicted Year: 1899 Ex: 38.699755","Age: 27 ex_fr_female$Type: Predicted Year: 1900 Ex: 37.820602","Age: 27 ex_fr_female$Type: Predicted Year: 1901 Ex: 38.890067","Age: 27 ex_fr_female$Type: Predicted Year: 1902 Ex: 39.237904","Age: 27 ex_fr_female$Type: Predicted Year: 1903 Ex: 39.424519","Age: 27 ex_fr_female$Type: Predicted Year: 1904 Ex: 39.481211","Age: 27 ex_fr_female$Type: Predicted Year: 1905 Ex: 39.062799","Age: 27 ex_fr_female$Type: Predicted Year: 1906 Ex: 39.075702","Age: 27 ex_fr_female$Type: Predicted Year: 1907 Ex: 38.625402","Age: 27 ex_fr_female$Type: Predicted Year: 1908 Ex: 39.527091","Age: 27 ex_fr_female$Type: Predicted Year: 1909 Ex: 39.200270","Age: 27 ex_fr_female$Type: Predicted Year: 1910 Ex: 40.218879","Age: 27 ex_fr_female$Type: Predicted Year: 1911 Ex: 39.617445","Age: 27 ex_fr_female$Type: Predicted Year: 1912 Ex: 40.408837","Age: 27 ex_fr_female$Type: Predicted Year: 1913 Ex: 40.513868","Age: 27 ex_fr_female$Type: Predicted Year: 1914 Ex: 39.785647","Age: 27 ex_fr_female$Type: Predicted Year: 1915 Ex: 39.774091","Age: 27 ex_fr_female$Type: Predicted Year: 1916 Ex: 40.296146","Age: 27 ex_fr_female$Type: Predicted Year: 1917 Ex: 40.310317","Age: 27 ex_fr_female$Type: Predicted Year: 1918 Ex: 35.628599","Age: 27 ex_fr_female$Type: Predicted Year: 1919 Ex: 39.362528","Age: 27 ex_fr_female$Type: Predicted Year: 1920 Ex: 41.095610","Age: 27 ex_fr_female$Type: Predicted Year: 1921 Ex: 41.222004","Age: 27 ex_fr_female$Type: Predicted Year: 1922 Ex: 40.884712","Age: 27 ex_fr_female$Type: Predicted Year: 1923 Ex: 41.746864","Age: 27 ex_fr_female$Type: Predicted Year: 1924 Ex: 41.435654","Age: 27 ex_fr_female$Type: Predicted Year: 1925 Ex: 41.337689","Age: 27 ex_fr_female$Type: Predicted Year: 1926 Ex: 41.386163","Age: 27 ex_fr_female$Type: Predicted Year: 1927 Ex: 41.966315","Age: 27 ex_fr_female$Type: Predicted Year: 1928 Ex: 42.251428","Age: 27 ex_fr_female$Type: Predicted Year: 1929 Ex: 41.223180","Age: 27 ex_fr_female$Type: Predicted Year: 1930 Ex: 42.716071","Age: 27 ex_fr_female$Type: Predicted Year: 1931 Ex: 42.215337","Age: 27 ex_fr_female$Type: Predicted Year: 1932 Ex: 42.630010","Age: 27 ex_fr_female$Type: Predicted Year: 1933 Ex: 42.654603","Age: 27 ex_fr_female$Type: Predicted Year: 1934 Ex: 43.342949","Age: 27 ex_fr_female$Type: Predicted Year: 1935 Ex: 42.803764","Age: 27 ex_fr_female$Type: Predicted Year: 1936 Ex: 43.301429","Age: 27 ex_fr_female$Type: Predicted Year: 1937 Ex: 43.648891","Age: 27 ex_fr_female$Type: Predicted Year: 1938 Ex: 43.434588","Age: 27 ex_fr_female$Type: Predicted Year: 1939 Ex: 43.587535","Age: 27 ex_fr_female$Type: Predicted Year: 1940 Ex: 41.819218","Age: 27 ex_fr_female$Type: Predicted Year: 1941 Ex: 43.076729","Age: 27 ex_fr_female$Type: Predicted Year: 1942 Ex: 43.408984","Age: 27 ex_fr_female$Type: Predicted Year: 1943 Ex: 42.323178","Age: 27 ex_fr_female$Type: Predicted Year: 1944 Ex: 38.984506","Age: 27 ex_fr_female$Type: Predicted Year: 1945 Ex: 43.380608","Age: 27 ex_fr_female$Type: Predicted Year: 1946 Ex: 46.307842","Age: 27 ex_fr_female$Type: Predicted Year: 1947 Ex: 46.853779","Age: 27 ex_fr_female$Type: Predicted Year: 1948 Ex: 47.509486","Age: 27 ex_fr_female$Type: Predicted Year: 1949 Ex: 46.500334","Age: 27 ex_fr_female$Type: Predicted Year: 1950 Ex: 47.342068","Age: 27 ex_fr_female$Type: Predicted Year: 1951 Ex: 46.890405","Age: 27 ex_fr_female$Type: Predicted Year: 1952 Ex: 47.839275","Age: 27 ex_fr_female$Type: Predicted Year: 1953 Ex: 47.350887","Age: 27 ex_fr_female$Type: Predicted Year: 1954 Ex: 48.287751","Age: 27 ex_fr_female$Type: Predicted Year: 1955 Ex: 48.400405","Age: 27 ex_fr_female$Type: Predicted Year: 1956 Ex: 48.259737","Age: 27 ex_fr_female$Type: Predicted Year: 1957 Ex: 48.737306","Age: 27 ex_fr_female$Type: Predicted Year: 1958 Ex: 49.517347","Age: 27 ex_fr_female$Type: Predicted Year: 1959 Ex: 49.552246","Age: 27 ex_fr_female$Type: Predicted Year: 1960 Ex: 49.544749","Age: 27 ex_fr_female$Type: Predicted Year: 1961 Ex: 50.203332","Age: 27 ex_fr_female$Type: Predicted Year: 1962 Ex: 49.693654","Age: 27 ex_fr_female$Type: Predicted Year: 1963 Ex: 49.632763","Age: 27 ex_fr_female$Type: Predicted Year: 1964 Ex: 50.458558","Age: 27 ex_fr_female$Type: Predicted Year: 1965 Ex: 50.237882","Age: 27 ex_fr_female$Type: Predicted Year: 1966 Ex: 50.661400","Age: 27 ex_fr_female$Type: Predicted Year: 1967 Ex: 50.646876","Age: 27 ex_fr_female$Type: Predicted Year: 1968 Ex: 50.671875","Age: 27 ex_fr_female$Type: Predicted Year: 1969 Ex: 50.450566","Age: 27 ex_fr_female$Type: Predicted Year: 1970 Ex: 51.102458","Age: 27 ex_fr_female$Type: Predicted Year: 1971 Ex: 51.125206","Age: 27 ex_fr_female$Type: Predicted Year: 1972 Ex: 51.349348","Age: 27 ex_fr_female$Type: Predicted Year: 1973 Ex: 51.423603","Age: 27 ex_fr_female$Type: Predicted Year: 1974 Ex: 51.737184","Age: 27 ex_fr_female$Type: Predicted Year: 1975 Ex: 51.783585","Age: 27 ex_fr_female$Type: Predicted Year: 1976 Ex: 52.050758","Age: 27 ex_fr_female$Type: Predicted Year: 1977 Ex: 52.637421","Age: 27 ex_fr_female$Type: Predicted Year: 1978 Ex: 52.653690","Age: 27 ex_fr_female$Type: Predicted Year: 1979 Ex: 52.948465","Age: 27 ex_fr_female$Type: Predicted Year: 1980 Ex: 53.070105","Age: 27 ex_fr_female$Type: Predicted Year: 1981 Ex: 53.118655","Age: 27 ex_fr_female$Type: Predicted Year: 1982 Ex: 53.472282","Age: 27 ex_fr_female$Type: Predicted Year: 1983 Ex: 53.368600","Age: 27 ex_fr_female$Type: Predicted Year: 1984 Ex: 53.838628","Age: 27 ex_fr_female$Type: Predicted Year: 1985 Ex: 53.888755","Age: 27 ex_fr_female$Type: Predicted Year: 1986 Ex: 54.130014","Age: 27 ex_fr_female$Type: Predicted Year: 1987 Ex: 54.631925","Age: 27 ex_fr_female$Type: Predicted Year: 1988 Ex: 54.836840","Age: 27 ex_fr_female$Type: Predicted Year: 1989 Ex: 54.997085","Age: 27 ex_fr_female$Type: Predicted Year: 1990 Ex: 55.244285","Age: 27 ex_fr_female$Type: Predicted Year: 1991 Ex: 55.467075","Age: 27 ex_fr_female$Type: Predicted Year: 1992 Ex: 55.674972","Age: 27 ex_fr_female$Type: Predicted Year: 1993 Ex: 55.652850","Age: 27 ex_fr_female$Type: Predicted Year: 1994 Ex: 56.029597","Age: 27 ex_fr_female$Type: Predicted Year: 1995 Ex: 55.997439","Age: 27 ex_fr_female$Type: Predicted Year: 1996 Ex: 56.087037","Age: 27 ex_fr_female$Type: Predicted Year: 1997 Ex: 56.329709","Age: 27 ex_fr_female$Type: Predicted Year: 1998 Ex: 56.431264","Age: 27 ex_fr_female$Type: Predicted Year: 1999 Ex: 56.501377","Age: 27 ex_fr_female$Type: Predicted Year: 2000 Ex: 56.772912","Age: 27 ex_fr_female$Type: Predicted Year: 2001 Ex: 56.922847","Age: 27 ex_fr_female$Type: Predicted Year: 2002 Ex: 56.976227","Age: 27 ex_fr_female$Type: Predicted Year: 2003 Ex: 56.843036","Age: 27 ex_fr_female$Type: Predicted Year: 2004 Ex: 57.731938","Age: 27 ex_fr_female$Type: Predicted Year: 2005 Ex: 57.659214","Age: 27 ex_fr_female$Type: Predicted Year: 2006 Ex: 58.015074","Age: 27 ex_fr_female$Type: Predicted Year: 2007 Ex: 58.182126","Age: 27 ex_fr_female$Type: Predicted Year: 2008 Ex: 58.143392","Age: 27 ex_fr_female$Type: Predicted Year: 2009 Ex: 58.249733","Age: 27 ex_fr_female$Type: Predicted Year: 2010 Ex: 58.453269","Age: 27 ex_fr_female$Type: Predicted Year: 2011 Ex: 58.775409","Age: 27 ex_fr_female$Type: Predicted Year: 2012 Ex: 58.626423","Age: 27 ex_fr_female$Type: Predicted Year: 2013 Ex: 58.827125","Age: 27 ex_fr_female$Type: Predicted Year: 2014 Ex: 59.195988","Age: 27 ex_fr_female$Type: Predicted Year: 2015 Ex: 58.923746","Age: 27 ex_fr_female$Type: Predicted Year: 2016 Ex: 59.100643","Age: 27 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1926 Ex: 40.370000","Age: 28 ex_fr_female$Type: Observed Year: 1927 Ex: 40.930000","Age: 28 ex_fr_female$Type: Observed Year: 1928 Ex: 41.230000","Age: 28 ex_fr_female$Type: Observed Year: 1929 Ex: 40.190000","Age: 28 ex_fr_female$Type: Observed Year: 1930 Ex: 41.680000","Age: 28 ex_fr_female$Type: Observed Year: 1931 Ex: 41.170000","Age: 28 ex_fr_female$Type: Observed Year: 1932 Ex: 41.570000","Age: 28 ex_fr_female$Type: Observed Year: 1933 Ex: 41.590000","Age: 28 ex_fr_female$Type: Observed Year: 1934 Ex: 42.270000","Age: 28 ex_fr_female$Type: Observed Year: 1935 Ex: 41.730000","Age: 28 ex_fr_female$Type: Observed Year: 1936 Ex: 42.210000","Age: 28 ex_fr_female$Type: Observed Year: 1937 Ex: 42.580000","Age: 28 ex_fr_female$Type: Observed Year: 1938 Ex: 42.350000","Age: 28 ex_fr_female$Type: Observed Year: 1939 Ex: 42.500000","Age: 28 ex_fr_female$Type: Observed Year: 1940 Ex: 40.750000","Age: 28 ex_fr_female$Type: Observed Year: 1941 Ex: 41.990000","Age: 28 ex_fr_female$Type: Observed Year: 1942 Ex: 42.350000","Age: 28 ex_fr_female$Type: Observed Year: 1943 Ex: 41.520000","Age: 28 ex_fr_female$Type: Observed Year: 1944 Ex: 38.420000","Age: 28 ex_fr_female$Type: Observed Year: 1945 Ex: 42.420000","Age: 28 ex_fr_female$Type: Observed Year: 1946 Ex: 45.190000","Age: 28 ex_fr_female$Type: Observed Year: 1947 Ex: 45.710000","Age: 28 ex_fr_female$Type: Observed Year: 1948 Ex: 46.350000","Age: 28 ex_fr_female$Type: Observed Year: 1949 Ex: 45.330000","Age: 28 ex_fr_female$Type: Observed Year: 1950 Ex: 46.160000","Age: 28 ex_fr_female$Type: Observed Year: 1951 Ex: 45.720000","Age: 28 ex_fr_female$Type: Observed Year: 1952 Ex: 46.650000","Age: 28 ex_fr_female$Type: Observed Year: 1953 Ex: 46.150000","Age: 28 ex_fr_female$Type: Observed Year: 1954 Ex: 47.090000","Age: 28 ex_fr_female$Type: Observed Year: 1955 Ex: 47.200000","Age: 28 ex_fr_female$Type: Observed Year: 1956 Ex: 47.050000","Age: 28 ex_fr_female$Type: Observed Year: 1957 Ex: 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1973 Ex: 50.200000","Age: 28 ex_fr_female$Type: Observed Year: 1974 Ex: 50.510000","Age: 28 ex_fr_female$Type: Observed Year: 1975 Ex: 50.560000","Age: 28 ex_fr_female$Type: Observed Year: 1976 Ex: 50.830000","Age: 28 ex_fr_female$Type: Observed Year: 1977 Ex: 51.420000","Age: 28 ex_fr_female$Type: Observed Year: 1978 Ex: 51.430000","Age: 28 ex_fr_female$Type: Observed Year: 1979 Ex: 51.720000","Age: 28 ex_fr_female$Type: Observed Year: 1980 Ex: 51.850000","Age: 28 ex_fr_female$Type: Observed Year: 1981 Ex: 51.890000","Age: 28 ex_fr_female$Type: Observed Year: 1982 Ex: 52.250000","Age: 28 ex_fr_female$Type: Observed Year: 1983 Ex: 52.150000","Age: 28 ex_fr_female$Type: Observed Year: 1984 Ex: 52.610000","Age: 28 ex_fr_female$Type: Observed Year: 1985 Ex: 52.660000","Age: 28 ex_fr_female$Type: Observed Year: 1986 Ex: 52.910000","Age: 28 ex_fr_female$Type: Observed Year: 1987 Ex: 53.400000","Age: 28 ex_fr_female$Type: Observed Year: 1988 Ex: 53.610000","Age: 28 ex_fr_female$Type: Observed Year: 1989 Ex: 53.770000","Age: 28 ex_fr_female$Type: Observed Year: 1990 Ex: 54.020000","Age: 28 ex_fr_female$Type: Observed Year: 1991 Ex: 54.240000","Age: 28 ex_fr_female$Type: Observed Year: 1992 Ex: 54.450000","Age: 28 ex_fr_female$Type: Observed Year: 1993 Ex: 54.430000","Age: 28 ex_fr_female$Type: Observed Year: 1994 Ex: 54.810000","Age: 28 ex_fr_female$Type: Observed Year: 1995 Ex: 54.780000","Age: 28 ex_fr_female$Type: Observed Year: 1996 Ex: 54.860000","Age: 28 ex_fr_female$Type: Observed Year: 1997 Ex: 55.100000","Age: 28 ex_fr_female$Type: Observed Year: 1998 Ex: 55.200000","Age: 28 ex_fr_female$Type: Observed Year: 1999 Ex: 55.270000","Age: 28 ex_fr_female$Type: Observed Year: 2000 Ex: 55.540000","Age: 28 ex_fr_female$Type: Observed Year: 2001 Ex: 55.690000","Age: 28 ex_fr_female$Type: Observed Year: 2002 Ex: 55.740000","Age: 28 ex_fr_female$Type: Observed Year: 2003 Ex: 55.610000","Age: 28 ex_fr_female$Type: Observed Year: 2004 Ex: 56.500000","Age: 28 ex_fr_female$Type: Observed Year: 2005 Ex: 56.430000","Age: 28 ex_fr_female$Type: Observed Year: 2006 Ex: 56.780000","Age: 28 ex_fr_female$Type: Observed Year: 2007 Ex: 56.950000","Age: 28 ex_fr_female$Type: Observed Year: 2008 Ex: 56.910000","Age: 28 ex_fr_female$Type: Observed Year: 2009 Ex: 57.020000","Age: 28 ex_fr_female$Type: Observed Year: 2010 Ex: 57.220000","Age: 28 ex_fr_female$Type: Observed Year: 2011 Ex: 57.540000","Age: 28 ex_fr_female$Type: Observed Year: 2012 Ex: 57.390000","Age: 28 ex_fr_female$Type: Observed Year: 2013 Ex: 57.590000","Age: 28 ex_fr_female$Type: Observed Year: 2014 Ex: 57.960000","Age: 28 ex_fr_female$Type: Observed Year: 2015 Ex: 57.690000","Age: 28 ex_fr_female$Type: Observed Year: 2016 Ex: 57.860000","Age: 28 ex_fr_female$Type: Observed Year: 2017 Ex: 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28 ex_fr_female$Type: Predicted Year: 1816 Ex: 35.157848","Age: 28 ex_fr_female$Type: Predicted Year: 1817 Ex: 35.070022","Age: 28 ex_fr_female$Type: Predicted Year: 1818 Ex: 34.871450","Age: 28 ex_fr_female$Type: Predicted Year: 1819 Ex: 34.974610","Age: 28 ex_fr_female$Type: Predicted Year: 1820 Ex: 34.947809","Age: 28 ex_fr_female$Type: Predicted Year: 1821 Ex: 36.088994","Age: 28 ex_fr_female$Type: Predicted Year: 1822 Ex: 36.064972","Age: 28 ex_fr_female$Type: Predicted Year: 1823 Ex: 36.455620","Age: 28 ex_fr_female$Type: Predicted Year: 1824 Ex: 36.479362","Age: 28 ex_fr_female$Type: Predicted Year: 1825 Ex: 35.836907","Age: 28 ex_fr_female$Type: Predicted Year: 1826 Ex: 35.223421","Age: 28 ex_fr_female$Type: Predicted Year: 1827 Ex: 35.453202","Age: 28 ex_fr_female$Type: Predicted Year: 1828 Ex: 35.217948","Age: 28 ex_fr_female$Type: Predicted Year: 1829 Ex: 35.228030","Age: 28 ex_fr_female$Type: Predicted Year: 1830 Ex: 35.272385","Age: 28 ex_fr_female$Type: Predicted Year: 1831 Ex: 35.754401","Age: 28 ex_fr_female$Type: Predicted Year: 1832 Ex: 32.045208","Age: 28 ex_fr_female$Type: Predicted Year: 1833 Ex: 35.178570","Age: 28 ex_fr_female$Type: Predicted Year: 1834 Ex: 34.299741","Age: 28 ex_fr_female$Type: Predicted Year: 1835 Ex: 35.269600","Age: 28 ex_fr_female$Type: Predicted Year: 1836 Ex: 36.325614","Age: 28 ex_fr_female$Type: Predicted Year: 1837 Ex: 34.099999","Age: 28 ex_fr_female$Type: Predicted Year: 1838 Ex: 35.430057","Age: 28 ex_fr_female$Type: Predicted Year: 1839 Ex: 36.113404","Age: 28 ex_fr_female$Type: Predicted Year: 1840 Ex: 35.345800","Age: 28 ex_fr_female$Type: Predicted Year: 1841 Ex: 36.274263","Age: 28 ex_fr_female$Type: Predicted Year: 1842 Ex: 35.552576","Age: 28 ex_fr_female$Type: Predicted Year: 1843 Ex: 36.134790","Age: 28 ex_fr_female$Type: Predicted Year: 1844 Ex: 36.389469","Age: 28 ex_fr_female$Type: Predicted Year: 1845 Ex: 36.861312","Age: 28 ex_fr_female$Type: Predicted Year: 1846 Ex: 36.175039","Age: 28 ex_fr_female$Type: Predicted Year: 1847 Ex: 34.918856","Age: 28 ex_fr_female$Type: Predicted Year: 1848 Ex: 35.227197","Age: 28 ex_fr_female$Type: Predicted Year: 1849 Ex: 32.702432","Age: 28 ex_fr_female$Type: Predicted Year: 1850 Ex: 36.499005","Age: 28 ex_fr_female$Type: Predicted Year: 1851 Ex: 36.327978","Age: 28 ex_fr_female$Type: Predicted Year: 1852 Ex: 36.200878","Age: 28 ex_fr_female$Type: Predicted Year: 1853 Ex: 36.119767","Age: 28 ex_fr_female$Type: Predicted Year: 1854 Ex: 32.580818","Age: 28 ex_fr_female$Type: Predicted Year: 1855 Ex: 34.604148","Age: 28 ex_fr_female$Type: Predicted Year: 1856 Ex: 36.183671","Age: 28 ex_fr_female$Type: Predicted Year: 1857 Ex: 35.693484","Age: 28 ex_fr_female$Type: Predicted Year: 1858 Ex: 35.118118","Age: 28 ex_fr_female$Type: Predicted Year: 1859 Ex: 35.105280","Age: 28 ex_fr_female$Type: Predicted Year: 1860 Ex: 36.787311","Age: 28 ex_fr_female$Type: Predicted Year: 1861 Ex: 36.599160","Age: 28 ex_fr_female$Type: Predicted Year: 1862 Ex: 36.974623","Age: 28 ex_fr_female$Type: Predicted Year: 1863 Ex: 36.743520","Age: 28 ex_fr_female$Type: Predicted Year: 1864 Ex: 36.304271","Age: 28 ex_fr_female$Type: Predicted Year: 1865 Ex: 35.743120","Age: 28 ex_fr_female$Type: Predicted Year: 1866 Ex: 35.725406","Age: 28 ex_fr_female$Type: Predicted Year: 1867 Ex: 36.566503","Age: 28 ex_fr_female$Type: Predicted Year: 1868 Ex: 36.182249","Age: 28 ex_fr_female$Type: Predicted Year: 1869 Ex: 36.265656","Age: 28 ex_fr_female$Type: Predicted Year: 1870 Ex: 34.033529","Age: 28 ex_fr_female$Type: Predicted Year: 1871 Ex: 31.109037","Age: 28 ex_fr_female$Type: Predicted Year: 1872 Ex: 37.154512","Age: 28 ex_fr_female$Type: Predicted Year: 1873 Ex: 36.613160","Age: 28 ex_fr_female$Type: Predicted Year: 1874 Ex: 37.353326","Age: 28 ex_fr_female$Type: Predicted Year: 1875 Ex: 36.352285","Age: 28 ex_fr_female$Type: Predicted Year: 1876 Ex: 36.880190","Age: 28 ex_fr_female$Type: Predicted Year: 1877 Ex: 37.299863","Age: 28 ex_fr_female$Type: Predicted Year: 1878 Ex: 36.928280","Age: 28 ex_fr_female$Type: Predicted Year: 1879 Ex: 36.692743","Age: 28 ex_fr_female$Type: Predicted Year: 1880 Ex: 36.873293","Age: 28 ex_fr_female$Type: Predicted Year: 1881 Ex: 37.242224","Age: 28 ex_fr_female$Type: Predicted Year: 1882 Ex: 37.091473","Age: 28 ex_fr_female$Type: Predicted Year: 1883 Ex: 37.035575","Age: 28 ex_fr_female$Type: Predicted Year: 1884 Ex: 37.017969","Age: 28 ex_fr_female$Type: Predicted Year: 1885 Ex: 37.160758","Age: 28 ex_fr_female$Type: Predicted Year: 1886 Ex: 36.997138","Age: 28 ex_fr_female$Type: Predicted Year: 1887 Ex: 37.039251","Age: 28 ex_fr_female$Type: Predicted Year: 1888 Ex: 37.597639","Age: 28 ex_fr_female$Type: Predicted Year: 1889 Ex: 38.083293","Age: 28 ex_fr_female$Type: Predicted Year: 1890 Ex: 37.039993","Age: 28 ex_fr_female$Type: Predicted Year: 1891 Ex: 36.829949","Age: 28 ex_fr_female$Type: Predicted Year: 1892 Ex: 37.071977","Age: 28 ex_fr_female$Type: Predicted Year: 1893 Ex: 37.097519","Age: 28 ex_fr_female$Type: Predicted Year: 1894 Ex: 37.822159","Age: 28 ex_fr_female$Type: Predicted Year: 1895 Ex: 37.443292","Age: 28 ex_fr_female$Type: Predicted Year: 1896 Ex: 38.499229","Age: 28 ex_fr_female$Type: Predicted Year: 1897 Ex: 39.023107","Age: 28 ex_fr_female$Type: Predicted Year: 1898 Ex: 38.161715","Age: 28 ex_fr_female$Type: Predicted Year: 1899 Ex: 37.990796","Age: 28 ex_fr_female$Type: Predicted Year: 1900 Ex: 37.115851","Age: 28 ex_fr_female$Type: Predicted Year: 1901 Ex: 38.187586","Age: 28 ex_fr_female$Type: Predicted Year: 1902 Ex: 38.510802","Age: 28 ex_fr_female$Type: Predicted Year: 1903 Ex: 38.700299","Age: 28 ex_fr_female$Type: Predicted Year: 1904 Ex: 38.755431","Age: 28 ex_fr_female$Type: Predicted Year: 1905 Ex: 38.358937","Age: 28 ex_fr_female$Type: Predicted Year: 1906 Ex: 38.357170","Age: 28 ex_fr_female$Type: Predicted Year: 1907 Ex: 37.907426","Age: 28 ex_fr_female$Type: Predicted Year: 1908 Ex: 38.788665","Age: 28 ex_fr_female$Type: Predicted Year: 1909 Ex: 38.473682","Age: 28 ex_fr_female$Type: Predicted Year: 1910 Ex: 39.469099","Age: 28 ex_fr_female$Type: Predicted Year: 1911 Ex: 38.889471","Age: 28 ex_fr_female$Type: Predicted Year: 1912 Ex: 39.656238","Age: 28 ex_fr_female$Type: Predicted Year: 1913 Ex: 39.761518","Age: 28 ex_fr_female$Type: Predicted Year: 1914 Ex: 39.031161","Age: 28 ex_fr_female$Type: Predicted Year: 1915 Ex: 39.026648","Age: 28 ex_fr_female$Type: Predicted Year: 1916 Ex: 39.527235","Age: 28 ex_fr_female$Type: Predicted Year: 1917 Ex: 39.539486","Age: 28 ex_fr_female$Type: Predicted Year: 1918 Ex: 35.160937","Age: 28 ex_fr_female$Type: Predicted Year: 1919 Ex: 38.677027","Age: 28 ex_fr_female$Type: Predicted Year: 1920 Ex: 40.362794","Age: 28 ex_fr_female$Type: Predicted Year: 1921 Ex: 40.462155","Age: 28 ex_fr_female$Type: Predicted Year: 1922 Ex: 40.124093","Age: 28 ex_fr_female$Type: Predicted Year: 1923 Ex: 40.981813","Age: 28 ex_fr_female$Type: Predicted Year: 1924 Ex: 40.667596","Age: 28 ex_fr_female$Type: Predicted Year: 1925 Ex: 40.567432","Age: 28 ex_fr_female$Type: Predicted Year: 1926 Ex: 40.615768","Age: 28 ex_fr_female$Type: Predicted Year: 1927 Ex: 41.182502","Age: 28 ex_fr_female$Type: Predicted Year: 1928 Ex: 41.475817","Age: 28 ex_fr_female$Type: Predicted Year: 1929 Ex: 40.439177","Age: 28 ex_fr_female$Type: Predicted Year: 1930 Ex: 41.933620","Age: 28 ex_fr_female$Type: Predicted Year: 1931 Ex: 41.416052","Age: 28 ex_fr_female$Type: Predicted Year: 1932 Ex: 41.819176","Age: 28 ex_fr_female$Type: Predicted Year: 1933 Ex: 41.834142","Age: 28 ex_fr_female$Type: Predicted Year: 1934 Ex: 42.523698","Age: 28 ex_fr_female$Type: Predicted Year: 1935 Ex: 41.982239","Age: 28 ex_fr_female$Type: Predicted Year: 1936 Ex: 42.462236","Age: 28 ex_fr_female$Type: Predicted Year: 1937 Ex: 42.825732","Age: 28 ex_fr_female$Type: Predicted Year: 1938 Ex: 42.601929","Age: 28 ex_fr_female$Type: Predicted Year: 1939 Ex: 42.747687","Age: 28 ex_fr_female$Type: Predicted Year: 1940 Ex: 40.993539","Age: 28 ex_fr_female$Type: Predicted Year: 1941 Ex: 42.241393","Age: 28 ex_fr_female$Type: Predicted Year: 1942 Ex: 42.594752","Age: 28 ex_fr_female$Type: Predicted Year: 1943 Ex: 41.768021","Age: 28 ex_fr_female$Type: Predicted Year: 1944 Ex: 38.669413","Age: 28 ex_fr_female$Type: Predicted Year: 1945 Ex: 42.669306","Age: 28 ex_fr_female$Type: Predicted Year: 1946 Ex: 45.438580","Age: 28 ex_fr_female$Type: Predicted Year: 1947 Ex: 45.967949","Age: 28 ex_fr_female$Type: Predicted Year: 1948 Ex: 46.604542","Age: 28 ex_fr_female$Type: Predicted Year: 1949 Ex: 45.588279","Age: 28 ex_fr_female$Type: Predicted Year: 1950 Ex: 46.416607","Age: 28 ex_fr_female$Type: Predicted Year: 1951 Ex: 45.968407","Age: 28 ex_fr_female$Type: Predicted Year: 1952 Ex: 46.899434","Age: 28 ex_fr_female$Type: Predicted Year: 1953 Ex: 46.407611","Age: 28 ex_fr_female$Type: Predicted Year: 1954 Ex: 47.340347","Age: 28 ex_fr_female$Type: Predicted Year: 1955 Ex: 47.449768","Age: 28 ex_fr_female$Type: Predicted Year: 1956 Ex: 47.304652","Age: 28 ex_fr_female$Type: Predicted Year: 1957 Ex: 47.781222","Age: 28 ex_fr_female$Type: Predicted Year: 1958 Ex: 48.556576","Age: 28 ex_fr_female$Type: Predicted Year: 1959 Ex: 48.597395","Age: 28 ex_fr_female$Type: Predicted Year: 1960 Ex: 48.584491","Age: 28 ex_fr_female$Type: Predicted Year: 1961 Ex: 49.242614","Age: 28 ex_fr_female$Type: Predicted Year: 1962 Ex: 48.732040","Age: 28 ex_fr_female$Type: Predicted Year: 1963 Ex: 48.672577","Age: 28 ex_fr_female$Type: Predicted Year: 1964 Ex: 49.496041","Age: 28 ex_fr_female$Type: Predicted Year: 1965 Ex: 49.274204","Age: 28 ex_fr_female$Type: Predicted Year: 1966 Ex: 49.701043","Age: 28 ex_fr_female$Type: Predicted Year: 1967 Ex: 49.690021","Age: 28 ex_fr_female$Type: Predicted Year: 1968 Ex: 49.709518","Age: 28 ex_fr_female$Type: Predicted Year: 1969 Ex: 49.487044","Age: 28 ex_fr_female$Type: Predicted Year: 1970 Ex: 50.136879","Age: 28 ex_fr_female$Type: Predicted Year: 1971 Ex: 50.159643","Age: 28 ex_fr_female$Type: Predicted Year: 1972 Ex: 50.387499","Age: 28 ex_fr_female$Type: Predicted Year: 1973 Ex: 50.455695","Age: 28 ex_fr_female$Type: Predicted Year: 1974 Ex: 50.768961","Age: 28 ex_fr_female$Type: Predicted Year: 1975 Ex: 50.817957","Age: 28 ex_fr_female$Type: Predicted Year: 1976 Ex: 51.081182","Age: 28 ex_fr_female$Type: Predicted Year: 1977 Ex: 51.670799","Age: 28 ex_fr_female$Type: Predicted Year: 1978 Ex: 51.687079","Age: 28 ex_fr_female$Type: Predicted Year: 1979 Ex: 51.974696","Age: 28 ex_fr_female$Type: Predicted Year: 1980 Ex: 52.102708","Age: 28 ex_fr_female$Type: Predicted Year: 1981 Ex: 52.146550","Age: 28 ex_fr_female$Type: Predicted Year: 1982 Ex: 52.502485","Age: 28 ex_fr_female$Type: Predicted Year: 1983 Ex: 52.401917","Age: 28 ex_fr_female$Type: Predicted Year: 1984 Ex: 52.869573","Age: 28 ex_fr_female$Type: Predicted Year: 1985 Ex: 52.920263","Age: 28 ex_fr_female$Type: Predicted Year: 1986 Ex: 53.161128","Age: 28 ex_fr_female$Type: Predicted Year: 1987 Ex: 53.658998","Age: 28 ex_fr_female$Type: Predicted Year: 1988 Ex: 53.866190","Age: 28 ex_fr_female$Type: Predicted Year: 1989 Ex: 54.023250","Age: 28 ex_fr_female$Type: Predicted Year: 1990 Ex: 54.276046","Age: 28 ex_fr_female$Type: Predicted Year: 1991 Ex: 54.498965","Age: 28 ex_fr_female$Type: Predicted Year: 1992 Ex: 54.704775","Age: 28 ex_fr_female$Type: Predicted Year: 1993 Ex: 54.683193","Age: 28 ex_fr_female$Type: Predicted Year: 1994 Ex: 55.062924","Age: 28 ex_fr_female$Type: Predicted Year: 1995 Ex: 55.028527","Age: 28 ex_fr_female$Type: Predicted Year: 1996 Ex: 55.115950","Age: 28 ex_fr_female$Type: Predicted Year: 1997 Ex: 55.351487","Age: 28 ex_fr_female$Type: Predicted Year: 1998 Ex: 55.455320","Age: 28 ex_fr_female$Type: Predicted Year: 1999 Ex: 55.527143","Age: 28 ex_fr_female$Type: Predicted Year: 2000 Ex: 55.793736","Age: 28 ex_fr_female$Type: Predicted Year: 2001 Ex: 55.944856","Age: 28 ex_fr_female$Type: Predicted Year: 2002 Ex: 55.996562","Age: 28 ex_fr_female$Type: Predicted Year: 2003 Ex: 55.862196","Age: 28 ex_fr_female$Type: Predicted Year: 2004 Ex: 56.750255","Age: 28 ex_fr_female$Type: Predicted Year: 2005 Ex: 56.676936","Age: 28 ex_fr_female$Type: Predicted Year: 2006 Ex: 57.031180","Age: 28 ex_fr_female$Type: Predicted Year: 2007 Ex: 57.201165","Age: 28 ex_fr_female$Type: Predicted Year: 2008 Ex: 57.158958","Age: 28 ex_fr_female$Type: Predicted Year: 2009 Ex: 57.267638","Age: 28 ex_fr_female$Type: Predicted Year: 2010 Ex: 57.472397","Age: 28 ex_fr_female$Type: Predicted Year: 2011 Ex: 57.792894","Age: 28 ex_fr_female$Type: Predicted Year: 2012 Ex: 57.640957","Age: 28 ex_fr_female$Type: Predicted Year: 2013 Ex: 57.839958","Age: 28 ex_fr_female$Type: Predicted Year: 2014 Ex: 58.211251","Age: 28 ex_fr_female$Type: Predicted Year: 2015 Ex: 57.937770","Age: 28 ex_fr_female$Type: Predicted Year: 2016 Ex: 58.115295","Age: 28 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1926 Ex: 39.580000","Age: 29 ex_fr_female$Type: Observed Year: 1927 Ex: 40.150000","Age: 29 ex_fr_female$Type: Observed Year: 1928 Ex: 40.430000","Age: 29 ex_fr_female$Type: Observed Year: 1929 Ex: 39.390000","Age: 29 ex_fr_female$Type: Observed Year: 1930 Ex: 40.880000","Age: 29 ex_fr_female$Type: Observed Year: 1931 Ex: 40.360000","Age: 29 ex_fr_female$Type: Observed Year: 1932 Ex: 40.750000","Age: 29 ex_fr_female$Type: Observed Year: 1933 Ex: 40.760000","Age: 29 ex_fr_female$Type: Observed Year: 1934 Ex: 41.450000","Age: 29 ex_fr_female$Type: Observed Year: 1935 Ex: 40.910000","Age: 29 ex_fr_female$Type: Observed Year: 1936 Ex: 41.380000","Age: 29 ex_fr_female$Type: Observed Year: 1937 Ex: 41.750000","Age: 29 ex_fr_female$Type: Observed Year: 1938 Ex: 41.520000","Age: 29 ex_fr_female$Type: Observed Year: 1939 Ex: 41.660000","Age: 29 ex_fr_female$Type: Observed Year: 1940 Ex: 39.920000","Age: 29 ex_fr_female$Type: Observed Year: 1941 Ex: 41.160000","Age: 29 ex_fr_female$Type: Observed Year: 1942 Ex: 41.520000","Age: 29 ex_fr_female$Type: Observed Year: 1943 Ex: 40.840000","Age: 29 ex_fr_female$Type: Observed Year: 1944 Ex: 38.070000","Age: 29 ex_fr_female$Type: Observed Year: 1945 Ex: 41.720000","Age: 29 ex_fr_female$Type: Observed Year: 1946 Ex: 44.320000","Age: 29 ex_fr_female$Type: Observed Year: 1947 Ex: 44.820000","Age: 29 ex_fr_female$Type: Observed Year: 1948 Ex: 45.450000","Age: 29 ex_fr_female$Type: Observed Year: 1949 Ex: 44.420000","Age: 29 ex_fr_female$Type: Observed Year: 1950 Ex: 45.240000","Age: 29 ex_fr_female$Type: Observed Year: 1951 Ex: 44.800000","Age: 29 ex_fr_female$Type: Observed Year: 1952 Ex: 45.710000","Age: 29 ex_fr_female$Type: Observed Year: 1953 Ex: 45.210000","Age: 29 ex_fr_female$Type: Observed Year: 1954 Ex: 46.140000","Age: 29 ex_fr_female$Type: Observed Year: 1955 Ex: 46.250000","Age: 29 ex_fr_female$Type: Observed Year: 1956 Ex: 46.100000","Age: 29 ex_fr_female$Type: Observed Year: 1957 Ex: 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Observed Year: 1989 Ex: 52.800000","Age: 29 ex_fr_female$Type: Observed Year: 1990 Ex: 53.050000","Age: 29 ex_fr_female$Type: Observed Year: 1991 Ex: 53.270000","Age: 29 ex_fr_female$Type: Observed Year: 1992 Ex: 53.490000","Age: 29 ex_fr_female$Type: Observed Year: 1993 Ex: 53.470000","Age: 29 ex_fr_female$Type: Observed Year: 1994 Ex: 53.840000","Age: 29 ex_fr_female$Type: Observed Year: 1995 Ex: 53.810000","Age: 29 ex_fr_female$Type: Observed Year: 1996 Ex: 53.890000","Age: 29 ex_fr_female$Type: Observed Year: 1997 Ex: 54.120000","Age: 29 ex_fr_female$Type: Observed Year: 1998 Ex: 54.230000","Age: 29 ex_fr_female$Type: Observed Year: 1999 Ex: 54.300000","Age: 29 ex_fr_female$Type: Observed Year: 2000 Ex: 54.560000","Age: 29 ex_fr_female$Type: Observed Year: 2001 Ex: 54.720000","Age: 29 ex_fr_female$Type: Observed Year: 2002 Ex: 54.770000","Age: 29 ex_fr_female$Type: Observed Year: 2003 Ex: 54.630000","Age: 29 ex_fr_female$Type: Observed Year: 2004 Ex: 55.520000","Age: 29 ex_fr_female$Type: Observed Year: 2005 Ex: 55.440000","Age: 29 ex_fr_female$Type: Observed Year: 2006 Ex: 55.800000","Age: 29 ex_fr_female$Type: Observed Year: 2007 Ex: 55.970000","Age: 29 ex_fr_female$Type: Observed Year: 2008 Ex: 55.920000","Age: 29 ex_fr_female$Type: Observed Year: 2009 Ex: 56.030000","Age: 29 ex_fr_female$Type: Observed Year: 2010 Ex: 56.240000","Age: 29 ex_fr_female$Type: Observed Year: 2011 Ex: 56.560000","Age: 29 ex_fr_female$Type: Observed Year: 2012 Ex: 56.410000","Age: 29 ex_fr_female$Type: Observed Year: 2013 Ex: 56.600000","Age: 29 ex_fr_female$Type: Observed Year: 2014 Ex: 56.980000","Age: 29 ex_fr_female$Type: Observed Year: 2015 Ex: 56.700000","Age: 29 ex_fr_female$Type: Observed Year: 2016 Ex: 56.880000","Age: 29 ex_fr_female$Type: Observed Year: 2017 Ex: 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29 ex_fr_female$Type: Predicted Year: 1816 Ex: 34.460689","Age: 29 ex_fr_female$Type: Predicted Year: 1817 Ex: 34.371746","Age: 29 ex_fr_female$Type: Predicted Year: 1818 Ex: 34.196414","Age: 29 ex_fr_female$Type: Predicted Year: 1819 Ex: 34.321437","Age: 29 ex_fr_female$Type: Predicted Year: 1820 Ex: 34.262369","Age: 29 ex_fr_female$Type: Predicted Year: 1821 Ex: 35.404997","Age: 29 ex_fr_female$Type: Predicted Year: 1822 Ex: 35.385786","Age: 29 ex_fr_female$Type: Predicted Year: 1823 Ex: 35.746595","Age: 29 ex_fr_female$Type: Predicted Year: 1824 Ex: 35.801736","Age: 29 ex_fr_female$Type: Predicted Year: 1825 Ex: 35.179918","Age: 29 ex_fr_female$Type: Predicted Year: 1826 Ex: 34.574505","Age: 29 ex_fr_female$Type: Predicted Year: 1827 Ex: 34.790371","Age: 29 ex_fr_female$Type: Predicted Year: 1828 Ex: 34.547590","Age: 29 ex_fr_female$Type: Predicted Year: 1829 Ex: 34.561976","Age: 29 ex_fr_female$Type: Predicted Year: 1830 Ex: 34.603597","Age: 29 ex_fr_female$Type: Predicted Year: 1831 Ex: 35.081308","Age: 29 ex_fr_female$Type: Predicted Year: 1832 Ex: 31.418055","Age: 29 ex_fr_female$Type: Predicted Year: 1833 Ex: 34.531302","Age: 29 ex_fr_female$Type: Predicted Year: 1834 Ex: 33.671202","Age: 29 ex_fr_female$Type: Predicted Year: 1835 Ex: 34.623960","Age: 29 ex_fr_female$Type: Predicted Year: 1836 Ex: 35.651672","Age: 29 ex_fr_female$Type: Predicted Year: 1837 Ex: 33.438027","Age: 29 ex_fr_female$Type: Predicted Year: 1838 Ex: 34.764887","Age: 29 ex_fr_female$Type: Predicted Year: 1839 Ex: 35.454425","Age: 29 ex_fr_female$Type: Predicted Year: 1840 Ex: 34.700937","Age: 29 ex_fr_female$Type: Predicted Year: 1841 Ex: 35.628745","Age: 29 ex_fr_female$Type: Predicted Year: 1842 Ex: 34.904509","Age: 29 ex_fr_female$Type: Predicted Year: 1843 Ex: 35.488969","Age: 29 ex_fr_female$Type: Predicted Year: 1844 Ex: 35.721178","Age: 29 ex_fr_female$Type: Predicted Year: 1845 Ex: 36.181238","Age: 29 ex_fr_female$Type: Predicted Year: 1846 Ex: 35.518451","Age: 29 ex_fr_female$Type: Predicted Year: 1847 Ex: 34.260602","Age: 29 ex_fr_female$Type: Predicted Year: 1848 Ex: 34.577617","Age: 29 ex_fr_female$Type: Predicted Year: 1849 Ex: 32.117278","Age: 29 ex_fr_female$Type: Predicted Year: 1850 Ex: 35.827730","Age: 29 ex_fr_female$Type: Predicted Year: 1851 Ex: 35.654780","Age: 29 ex_fr_female$Type: Predicted Year: 1852 Ex: 35.541655","Age: 29 ex_fr_female$Type: Predicted Year: 1853 Ex: 35.468402","Age: 29 ex_fr_female$Type: Predicted Year: 1854 Ex: 31.980452","Age: 29 ex_fr_female$Type: Predicted Year: 1855 Ex: 33.975506","Age: 29 ex_fr_female$Type: Predicted Year: 1856 Ex: 35.534012","Age: 29 ex_fr_female$Type: Predicted Year: 1857 Ex: 35.034393","Age: 29 ex_fr_female$Type: Predicted Year: 1858 Ex: 34.461493","Age: 29 ex_fr_female$Type: Predicted Year: 1859 Ex: 34.466007","Age: 29 ex_fr_female$Type: Predicted Year: 1860 Ex: 36.110247","Age: 29 ex_fr_female$Type: Predicted Year: 1861 Ex: 35.939366","Age: 29 ex_fr_female$Type: Predicted Year: 1862 Ex: 36.301067","Age: 29 ex_fr_female$Type: Predicted Year: 1863 Ex: 36.071552","Age: 29 ex_fr_female$Type: Predicted Year: 1864 Ex: 35.642059","Age: 29 ex_fr_female$Type: Predicted Year: 1865 Ex: 35.093051","Age: 29 ex_fr_female$Type: Predicted Year: 1866 Ex: 35.074449","Age: 29 ex_fr_female$Type: Predicted Year: 1867 Ex: 35.892205","Age: 29 ex_fr_female$Type: Predicted Year: 1868 Ex: 35.518525","Age: 29 ex_fr_female$Type: Predicted Year: 1869 Ex: 35.604163","Age: 29 ex_fr_female$Type: Predicted Year: 1870 Ex: 33.415289","Age: 29 ex_fr_female$Type: Predicted Year: 1871 Ex: 30.603354","Age: 29 ex_fr_female$Type: Predicted Year: 1872 Ex: 36.497732","Age: 29 ex_fr_female$Type: Predicted Year: 1873 Ex: 35.957144","Age: 29 ex_fr_female$Type: Predicted Year: 1874 Ex: 36.676094","Age: 29 ex_fr_female$Type: Predicted Year: 1875 Ex: 35.679308","Age: 29 ex_fr_female$Type: Predicted Year: 1876 Ex: 36.217904","Age: 29 ex_fr_female$Type: Predicted Year: 1877 Ex: 36.642957","Age: 29 ex_fr_female$Type: Predicted Year: 1878 Ex: 36.264969","Age: 29 ex_fr_female$Type: Predicted Year: 1879 Ex: 36.016299","Age: 29 ex_fr_female$Type: Predicted Year: 1880 Ex: 36.198829","Age: 29 ex_fr_female$Type: Predicted Year: 1881 Ex: 36.571432","Age: 29 ex_fr_female$Type: Predicted Year: 1882 Ex: 36.427085","Age: 29 ex_fr_female$Type: Predicted Year: 1883 Ex: 36.371043","Age: 29 ex_fr_female$Type: Predicted Year: 1884 Ex: 36.356962","Age: 29 ex_fr_female$Type: Predicted Year: 1885 Ex: 36.488497","Age: 29 ex_fr_female$Type: Predicted Year: 1886 Ex: 36.331148","Age: 29 ex_fr_female$Type: Predicted Year: 1887 Ex: 36.360375","Age: 29 ex_fr_female$Type: Predicted Year: 1888 Ex: 36.892995","Age: 29 ex_fr_female$Type: Predicted Year: 1889 Ex: 37.366228","Age: 29 ex_fr_female$Type: Predicted Year: 1890 Ex: 36.341223","Age: 29 ex_fr_female$Type: Predicted Year: 1891 Ex: 36.123587","Age: 29 ex_fr_female$Type: Predicted Year: 1892 Ex: 36.371996","Age: 29 ex_fr_female$Type: Predicted Year: 1893 Ex: 36.404020","Age: 29 ex_fr_female$Type: Predicted Year: 1894 Ex: 37.103505","Age: 29 ex_fr_female$Type: Predicted Year: 1895 Ex: 36.717688","Age: 29 ex_fr_female$Type: Predicted Year: 1896 Ex: 37.780319","Age: 29 ex_fr_female$Type: Predicted Year: 1897 Ex: 38.304580","Age: 29 ex_fr_female$Type: Predicted Year: 1898 Ex: 37.434238","Age: 29 ex_fr_female$Type: Predicted Year: 1899 Ex: 37.274168","Age: 29 ex_fr_female$Type: Predicted Year: 1900 Ex: 36.409585","Age: 29 ex_fr_female$Type: Predicted Year: 1901 Ex: 37.476244","Age: 29 ex_fr_female$Type: Predicted Year: 1902 Ex: 37.802702","Age: 29 ex_fr_female$Type: Predicted Year: 1903 Ex: 37.971334","Age: 29 ex_fr_female$Type: Predicted Year: 1904 Ex: 38.023774","Age: 29 ex_fr_female$Type: Predicted Year: 1905 Ex: 37.626787","Age: 29 ex_fr_female$Type: Predicted Year: 1906 Ex: 37.636065","Age: 29 ex_fr_female$Type: Predicted Year: 1907 Ex: 37.189037","Age: 29 ex_fr_female$Type: Predicted Year: 1908 Ex: 38.054543","Age: 29 ex_fr_female$Type: Predicted Year: 1909 Ex: 37.717112","Age: 29 ex_fr_female$Type: Predicted Year: 1910 Ex: 38.719302","Age: 29 ex_fr_female$Type: Predicted Year: 1911 Ex: 38.142521","Age: 29 ex_fr_female$Type: Predicted Year: 1912 Ex: 38.908825","Age: 29 ex_fr_female$Type: Predicted Year: 1913 Ex: 39.012018","Age: 29 ex_fr_female$Type: Predicted Year: 1914 Ex: 38.277777","Age: 29 ex_fr_female$Type: Predicted Year: 1915 Ex: 38.282541","Age: 29 ex_fr_female$Type: Predicted Year: 1916 Ex: 38.769563","Age: 29 ex_fr_female$Type: Predicted Year: 1917 Ex: 38.780320","Age: 29 ex_fr_female$Type: Predicted Year: 1918 Ex: 34.672466","Age: 29 ex_fr_female$Type: Predicted Year: 1919 Ex: 37.986749","Age: 29 ex_fr_female$Type: Predicted Year: 1920 Ex: 39.625155","Age: 29 ex_fr_female$Type: Predicted Year: 1921 Ex: 39.703052","Age: 29 ex_fr_female$Type: Predicted Year: 1922 Ex: 39.360958","Age: 29 ex_fr_female$Type: Predicted Year: 1923 Ex: 40.205077","Age: 29 ex_fr_female$Type: Predicted Year: 1924 Ex: 39.889935","Age: 29 ex_fr_female$Type: Predicted Year: 1925 Ex: 39.789620","Age: 29 ex_fr_female$Type: Predicted Year: 1926 Ex: 39.826930","Age: 29 ex_fr_female$Type: Predicted Year: 1927 Ex: 40.398283","Age: 29 ex_fr_female$Type: Predicted Year: 1928 Ex: 40.678327","Age: 29 ex_fr_female$Type: Predicted Year: 1929 Ex: 39.643388","Age: 29 ex_fr_female$Type: Predicted Year: 1930 Ex: 41.129650","Age: 29 ex_fr_female$Type: Predicted Year: 1931 Ex: 40.610455","Age: 29 ex_fr_female$Type: Predicted Year: 1932 Ex: 41.003872","Age: 29 ex_fr_female$Type: Predicted Year: 1933 Ex: 41.010186","Age: 29 ex_fr_female$Type: Predicted Year: 1934 Ex: 41.699725","Age: 29 ex_fr_female$Type: Predicted Year: 1935 Ex: 41.155581","Age: 29 ex_fr_female$Type: Predicted Year: 1936 Ex: 41.625365","Age: 29 ex_fr_female$Type: Predicted Year: 1937 Ex: 42.001749","Age: 29 ex_fr_female$Type: Predicted Year: 1938 Ex: 41.764335","Age: 29 ex_fr_female$Type: Predicted Year: 1939 Ex: 41.905565","Age: 29 ex_fr_female$Type: Predicted Year: 1940 Ex: 40.169663","Age: 29 ex_fr_female$Type: Predicted Year: 1941 Ex: 41.409950","Age: 29 ex_fr_female$Type: Predicted Year: 1942 Ex: 41.772344","Age: 29 ex_fr_female$Type: Predicted Year: 1943 Ex: 41.088260","Age: 29 ex_fr_female$Type: Predicted Year: 1944 Ex: 38.316868","Age: 29 ex_fr_female$Type: Predicted Year: 1945 Ex: 41.966802","Age: 29 ex_fr_female$Type: Predicted Year: 1946 Ex: 44.571796","Age: 29 ex_fr_female$Type: Predicted Year: 1947 Ex: 45.071279","Age: 29 ex_fr_female$Type: Predicted Year: 1948 Ex: 45.702849","Age: 29 ex_fr_female$Type: Predicted Year: 1949 Ex: 44.674028","Age: 29 ex_fr_female$Type: Predicted Year: 1950 Ex: 45.497951","Age: 29 ex_fr_female$Type: Predicted Year: 1951 Ex: 45.049413","Age: 29 ex_fr_female$Type: Predicted Year: 1952 Ex: 45.964903","Age: 29 ex_fr_female$Type: Predicted Year: 1953 Ex: 45.466870","Age: 29 ex_fr_female$Type: Predicted Year: 1954 Ex: 46.393306","Age: 29 ex_fr_female$Type: Predicted Year: 1955 Ex: 46.506611","Age: 29 ex_fr_female$Type: Predicted Year: 1956 Ex: 46.357103","Age: 29 ex_fr_female$Type: Predicted Year: 1957 Ex: 46.832786","Age: 29 ex_fr_female$Type: Predicted Year: 1958 Ex: 47.600328","Age: 29 ex_fr_female$Type: Predicted Year: 1959 Ex: 47.637814","Age: 29 ex_fr_female$Type: Predicted Year: 1960 Ex: 47.627787","Age: 29 ex_fr_female$Type: Predicted Year: 1961 Ex: 48.286014","Age: 29 ex_fr_female$Type: Predicted Year: 1962 Ex: 47.773054","Age: 29 ex_fr_female$Type: Predicted Year: 1963 Ex: 47.713059","Age: 29 ex_fr_female$Type: Predicted Year: 1964 Ex: 48.532312","Age: 29 ex_fr_female$Type: Predicted Year: 1965 Ex: 48.312751","Age: 29 ex_fr_female$Type: Predicted Year: 1966 Ex: 48.736973","Age: 29 ex_fr_female$Type: Predicted Year: 1967 Ex: 48.724958","Age: 29 ex_fr_female$Type: Predicted Year: 1968 Ex: 48.742992","Age: 29 ex_fr_female$Type: Predicted Year: 1969 Ex: 48.526739","Age: 29 ex_fr_female$Type: Predicted Year: 1970 Ex: 49.171140","Age: 29 ex_fr_female$Type: Predicted Year: 1971 Ex: 49.192926","Age: 29 ex_fr_female$Type: Predicted Year: 1972 Ex: 49.422932","Age: 29 ex_fr_female$Type: Predicted Year: 1973 Ex: 49.490176","Age: 29 ex_fr_female$Type: Predicted Year: 1974 Ex: 49.802653","Age: 29 ex_fr_female$Type: Predicted Year: 1975 Ex: 49.849667","Age: 29 ex_fr_female$Type: Predicted Year: 1976 Ex: 50.113564","Age: 29 ex_fr_female$Type: Predicted Year: 1977 Ex: 50.706631","Age: 29 ex_fr_female$Type: Predicted Year: 1978 Ex: 50.715752","Age: 29 ex_fr_female$Type: Predicted Year: 1979 Ex: 51.006620","Age: 29 ex_fr_female$Type: Predicted Year: 1980 Ex: 51.134196","Age: 29 ex_fr_female$Type: Predicted Year: 1981 Ex: 51.178064","Age: 29 ex_fr_female$Type: Predicted Year: 1982 Ex: 51.534216","Age: 29 ex_fr_female$Type: Predicted Year: 1983 Ex: 51.433068","Age: 29 ex_fr_female$Type: Predicted Year: 1984 Ex: 51.902053","Age: 29 ex_fr_female$Type: Predicted Year: 1985 Ex: 51.951200","Age: 29 ex_fr_female$Type: Predicted Year: 1986 Ex: 52.192735","Age: 29 ex_fr_female$Type: Predicted Year: 1987 Ex: 52.689307","Age: 29 ex_fr_female$Type: Predicted Year: 1988 Ex: 52.896617","Age: 29 ex_fr_female$Type: Predicted Year: 1989 Ex: 53.053767","Age: 29 ex_fr_female$Type: Predicted Year: 1990 Ex: 53.304554","Age: 29 ex_fr_female$Type: Predicted Year: 1991 Ex: 53.528132","Age: 29 ex_fr_female$Type: Predicted Year: 1992 Ex: 53.740019","Age: 29 ex_fr_female$Type: Predicted Year: 1993 Ex: 53.718965","Age: 29 ex_fr_female$Type: Predicted Year: 1994 Ex: 54.092396","Age: 29 ex_fr_female$Type: Predicted Year: 1995 Ex: 54.059071","Age: 29 ex_fr_female$Type: Predicted Year: 1996 Ex: 54.141625","Age: 29 ex_fr_female$Type: Predicted Year: 1997 Ex: 54.373980","Age: 29 ex_fr_female$Type: Predicted Year: 1998 Ex: 54.478956","Age: 29 ex_fr_female$Type: Predicted Year: 1999 Ex: 54.549159","Age: 29 ex_fr_female$Type: Predicted Year: 2000 Ex: 54.811433","Age: 29 ex_fr_female$Type: Predicted Year: 2001 Ex: 54.968703","Age: 29 ex_fr_female$Type: Predicted Year: 2002 Ex: 55.018210","Age: 29 ex_fr_female$Type: Predicted Year: 2003 Ex: 54.880469","Age: 29 ex_fr_female$Type: Predicted Year: 2004 Ex: 55.766570","Age: 29 ex_fr_female$Type: Predicted Year: 2005 Ex: 55.694353","Age: 29 ex_fr_female$Type: Predicted Year: 2006 Ex: 56.049838","Age: 29 ex_fr_female$Type: Predicted Year: 2007 Ex: 56.219879","Age: 29 ex_fr_female$Type: Predicted Year: 2008 Ex: 56.175391","Age: 29 ex_fr_female$Type: Predicted Year: 2009 Ex: 56.285239","Age: 29 ex_fr_female$Type: Predicted Year: 2010 Ex: 56.491771","Age: 29 ex_fr_female$Type: Predicted Year: 2011 Ex: 56.812377","Age: 29 ex_fr_female$Type: Predicted Year: 2012 Ex: 56.656387","Age: 29 ex_fr_female$Type: Predicted Year: 2013 Ex: 56.857163","Age: 29 ex_fr_female$Type: Predicted Year: 2014 Ex: 57.226835","Age: 29 ex_fr_female$Type: Predicted Year: 2015 Ex: 56.951556","Age: 29 ex_fr_female$Type: Predicted Year: 2016 Ex: 57.130853","Age: 29 ex_fr_female$Type: Predicted Year: 2017 Ex: 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34.150000","Age: 30 ex_fr_female$Type: Observed Year: 1832 Ex: 30.530000","Age: 30 ex_fr_female$Type: Observed Year: 1833 Ex: 33.620000","Age: 30 ex_fr_female$Type: Observed Year: 1834 Ex: 32.770000","Age: 30 ex_fr_female$Type: Observed Year: 1835 Ex: 33.710000","Age: 30 ex_fr_female$Type: Observed Year: 1836 Ex: 34.710000","Age: 30 ex_fr_female$Type: Observed Year: 1837 Ex: 32.510000","Age: 30 ex_fr_female$Type: Observed Year: 1838 Ex: 33.830000","Age: 30 ex_fr_female$Type: Observed Year: 1839 Ex: 34.530000","Age: 30 ex_fr_female$Type: Observed Year: 1840 Ex: 33.790000","Age: 30 ex_fr_female$Type: Observed Year: 1841 Ex: 34.720000","Age: 30 ex_fr_female$Type: Observed Year: 1842 Ex: 33.990000","Age: 30 ex_fr_female$Type: Observed Year: 1843 Ex: 34.580000","Age: 30 ex_fr_female$Type: Observed Year: 1844 Ex: 34.790000","Age: 30 ex_fr_female$Type: Observed Year: 1845 Ex: 35.240000","Age: 30 ex_fr_female$Type: Observed Year: 1846 Ex: 34.600000","Age: 30 ex_fr_female$Type: Observed Year: 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36.140000","Age: 30 ex_fr_female$Type: Observed Year: 1895 Ex: 35.740000","Age: 30 ex_fr_female$Type: Observed Year: 1896 Ex: 36.800000","Age: 30 ex_fr_female$Type: Observed Year: 1897 Ex: 37.300000","Age: 30 ex_fr_female$Type: Observed Year: 1898 Ex: 36.460000","Age: 30 ex_fr_female$Type: Observed Year: 1899 Ex: 36.290000","Age: 30 ex_fr_female$Type: Observed Year: 1900 Ex: 35.440000","Age: 30 ex_fr_female$Type: Observed Year: 1901 Ex: 36.500000","Age: 30 ex_fr_female$Type: Observed Year: 1902 Ex: 36.830000","Age: 30 ex_fr_female$Type: Observed Year: 1903 Ex: 36.990000","Age: 30 ex_fr_female$Type: Observed Year: 1904 Ex: 37.030000","Age: 30 ex_fr_female$Type: Observed Year: 1905 Ex: 36.620000","Age: 30 ex_fr_female$Type: Observed Year: 1906 Ex: 36.660000","Age: 30 ex_fr_female$Type: Observed Year: 1907 Ex: 36.210000","Age: 30 ex_fr_female$Type: Observed Year: 1908 Ex: 37.080000","Age: 30 ex_fr_female$Type: Observed Year: 1909 Ex: 36.710000","Age: 30 ex_fr_female$Type: Observed Year: 1910 Ex: 37.710000","Age: 30 ex_fr_female$Type: Observed Year: 1911 Ex: 37.140000","Age: 30 ex_fr_female$Type: Observed Year: 1912 Ex: 37.910000","Age: 30 ex_fr_female$Type: Observed Year: 1913 Ex: 38.000000","Age: 30 ex_fr_female$Type: Observed Year: 1914 Ex: 37.260000","Age: 30 ex_fr_female$Type: Observed Year: 1915 Ex: 37.270000","Age: 30 ex_fr_female$Type: Observed Year: 1916 Ex: 37.750000","Age: 30 ex_fr_female$Type: Observed Year: 1917 Ex: 37.760000","Age: 30 ex_fr_female$Type: Observed Year: 1918 Ex: 33.910000","Age: 30 ex_fr_female$Type: Observed Year: 1919 Ex: 37.040000","Age: 30 ex_fr_female$Type: Observed Year: 1920 Ex: 38.630000","Age: 30 ex_fr_female$Type: Observed Year: 1921 Ex: 38.690000","Age: 30 ex_fr_female$Type: Observed Year: 1922 Ex: 38.340000","Age: 30 ex_fr_female$Type: Observed Year: 1923 Ex: 39.180000","Age: 30 ex_fr_female$Type: Observed Year: 1924 Ex: 38.860000","Age: 30 ex_fr_female$Type: Observed Year: 1925 Ex: 38.750000","Age: 30 ex_fr_female$Type: Observed Year: 1926 Ex: 38.800000","Age: 30 ex_fr_female$Type: Observed Year: 1927 Ex: 39.350000","Age: 30 ex_fr_female$Type: Observed Year: 1928 Ex: 39.640000","Age: 30 ex_fr_female$Type: Observed Year: 1929 Ex: 38.600000","Age: 30 ex_fr_female$Type: Observed Year: 1930 Ex: 40.070000","Age: 30 ex_fr_female$Type: Observed Year: 1931 Ex: 39.550000","Age: 30 ex_fr_female$Type: Observed Year: 1932 Ex: 39.940000","Age: 30 ex_fr_female$Type: Observed Year: 1933 Ex: 39.940000","Age: 30 ex_fr_female$Type: Observed Year: 1934 Ex: 40.620000","Age: 30 ex_fr_female$Type: Observed Year: 1935 Ex: 40.080000","Age: 30 ex_fr_female$Type: Observed Year: 1936 Ex: 40.540000","Age: 30 ex_fr_female$Type: Observed Year: 1937 Ex: 40.900000","Age: 30 ex_fr_female$Type: Observed Year: 1938 Ex: 40.680000","Age: 30 ex_fr_female$Type: Observed Year: 1939 Ex: 40.810000","Age: 30 ex_fr_female$Type: Observed Year: 1940 Ex: 39.090000","Age: 30 ex_fr_female$Type: Observed Year: 1941 Ex: 40.320000","Age: 30 ex_fr_female$Type: Observed Year: 1942 Ex: 40.700000","Age: 30 ex_fr_female$Type: Observed Year: 1943 Ex: 40.130000","Age: 30 ex_fr_female$Type: Observed Year: 1944 Ex: 37.520000","Age: 30 ex_fr_female$Type: Observed Year: 1945 Ex: 41.000000","Age: 30 ex_fr_female$Type: Observed Year: 1946 Ex: 43.450000","Age: 30 ex_fr_female$Type: Observed Year: 1947 Ex: 43.930000","Age: 30 ex_fr_female$Type: Observed Year: 1948 Ex: 44.550000","Age: 30 ex_fr_female$Type: Observed Year: 1949 Ex: 43.510000","Age: 30 ex_fr_female$Type: Observed Year: 1950 Ex: 44.320000","Age: 30 ex_fr_female$Type: Observed Year: 1951 Ex: 43.880000","Age: 30 ex_fr_female$Type: Observed Year: 1952 Ex: 44.770000","Age: 30 ex_fr_female$Type: Observed Year: 1953 Ex: 44.280000","Age: 30 ex_fr_female$Type: Observed Year: 1954 Ex: 45.200000","Age: 30 ex_fr_female$Type: Observed Year: 1955 Ex: 45.310000","Age: 30 ex_fr_female$Type: Observed Year: 1956 Ex: 45.160000","Age: 30 ex_fr_female$Type: Observed Year: 1957 Ex: 45.630000","Age: 30 ex_fr_female$Type: Observed Year: 1958 Ex: 46.390000","Age: 30 ex_fr_female$Type: Observed Year: 1959 Ex: 46.420000","Age: 30 ex_fr_female$Type: Observed Year: 1960 Ex: 46.420000","Age: 30 ex_fr_female$Type: Observed Year: 1961 Ex: 47.070000","Age: 30 ex_fr_female$Type: Observed Year: 1962 Ex: 46.560000","Age: 30 ex_fr_female$Type: Observed Year: 1963 Ex: 46.500000","Age: 30 ex_fr_female$Type: Observed Year: 1964 Ex: 47.310000","Age: 30 ex_fr_female$Type: Observed Year: 1965 Ex: 47.100000","Age: 30 ex_fr_female$Type: Observed Year: 1966 Ex: 47.520000","Age: 30 ex_fr_female$Type: Observed Year: 1967 Ex: 47.510000","Age: 30 ex_fr_female$Type: Observed Year: 1968 Ex: 47.530000","Age: 30 ex_fr_female$Type: Observed Year: 1969 Ex: 47.310000","Age: 30 ex_fr_female$Type: Observed Year: 1970 Ex: 47.950000","Age: 30 ex_fr_female$Type: Observed Year: 1971 Ex: 47.970000","Age: 30 ex_fr_female$Type: Observed Year: 1972 Ex: 48.210000","Age: 30 ex_fr_female$Type: Observed Year: 1973 Ex: 48.270000","Age: 30 ex_fr_female$Type: Observed Year: 1974 Ex: 48.580000","Age: 30 ex_fr_female$Type: Observed Year: 1975 Ex: 48.630000","Age: 30 ex_fr_female$Type: Observed Year: 1976 Ex: 48.890000","Age: 30 ex_fr_female$Type: Observed Year: 1977 Ex: 49.490000","Age: 30 ex_fr_female$Type: Observed Year: 1978 Ex: 49.490000","Age: 30 ex_fr_female$Type: Observed Year: 1979 Ex: 49.780000","Age: 30 ex_fr_female$Type: Observed Year: 1980 Ex: 49.910000","Age: 30 ex_fr_female$Type: Observed Year: 1981 Ex: 49.960000","Age: 30 ex_fr_female$Type: Observed Year: 1982 Ex: 50.310000","Age: 30 ex_fr_female$Type: Observed Year: 1983 Ex: 50.210000","Age: 30 ex_fr_female$Type: Observed Year: 1984 Ex: 50.680000","Age: 30 ex_fr_female$Type: Observed Year: 1985 Ex: 50.730000","Age: 30 ex_fr_female$Type: Observed Year: 1986 Ex: 50.960000","Age: 30 ex_fr_female$Type: Observed Year: 1987 Ex: 51.470000","Age: 30 ex_fr_female$Type: Observed Year: 1988 Ex: 51.670000","Age: 30 ex_fr_female$Type: Observed Year: 1989 Ex: 51.830000","Age: 30 ex_fr_female$Type: Observed Year: 1990 Ex: 52.080000","Age: 30 ex_fr_female$Type: Observed Year: 1991 Ex: 52.310000","Age: 30 ex_fr_female$Type: Observed Year: 1992 Ex: 52.520000","Age: 30 ex_fr_female$Type: Observed Year: 1993 Ex: 52.500000","Age: 30 ex_fr_female$Type: Observed Year: 1994 Ex: 52.870000","Age: 30 ex_fr_female$Type: Observed Year: 1995 Ex: 52.840000","Age: 30 ex_fr_female$Type: Observed Year: 1996 Ex: 52.920000","Age: 30 ex_fr_female$Type: Observed Year: 1997 Ex: 53.150000","Age: 30 ex_fr_female$Type: Observed Year: 1998 Ex: 53.250000","Age: 30 ex_fr_female$Type: Observed Year: 1999 Ex: 53.320000","Age: 30 ex_fr_female$Type: Observed Year: 2000 Ex: 53.580000","Age: 30 ex_fr_female$Type: Observed Year: 2001 Ex: 53.740000","Age: 30 ex_fr_female$Type: Observed Year: 2002 Ex: 53.790000","Age: 30 ex_fr_female$Type: Observed Year: 2003 Ex: 53.650000","Age: 30 ex_fr_female$Type: Observed Year: 2004 Ex: 54.540000","Age: 30 ex_fr_female$Type: Observed Year: 2005 Ex: 54.460000","Age: 30 ex_fr_female$Type: Observed Year: 2006 Ex: 54.810000","Age: 30 ex_fr_female$Type: Observed Year: 2007 Ex: 54.990000","Age: 30 ex_fr_female$Type: Observed Year: 2008 Ex: 54.940000","Age: 30 ex_fr_female$Type: Observed Year: 2009 Ex: 55.050000","Age: 30 ex_fr_female$Type: Observed Year: 2010 Ex: 55.260000","Age: 30 ex_fr_female$Type: Observed Year: 2011 Ex: 55.570000","Age: 30 ex_fr_female$Type: Observed Year: 2012 Ex: 55.420000","Age: 30 ex_fr_female$Type: Observed Year: 2013 Ex: 55.620000","Age: 30 ex_fr_female$Type: Observed Year: 2014 Ex: 55.990000","Age: 30 ex_fr_female$Type: Observed Year: 2015 Ex: 55.720000","Age: 30 ex_fr_female$Type: Observed Year: 2016 Ex: 55.900000","Age: 30 ex_fr_female$Type: Observed Year: 2017 Ex: 55.860000"],"frame":"30","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[33.7557249929975,33.6711350202564,33.5200993436521,33.6637424836156,33.5795299559667,34.7233799638643,34.7120916241223,35.0478251756622,35.1080664688648,34.5042982693187,33.923846158225,34.1301489979462,33.8770548610522,33.8908916979327,33.9301600321347,34.4124455729706,30.7963178978787,33.8826069545247,33.0397806386758,33.9707059064519,34.9723044496765,32.7737208699931,34.0988761985989,34.7954879663198,34.0543393727037,34.9807333707896,34.2548008507044,34.8374363799269,35.0527534419722,35.5013004884241,34.8566032241696,33.6002458777267,33.9249246856579,31.529710769046,35.1524647175728,34.9782789404285,34.8754322040416,34.8085422410485,31.3780268551535,33.3400200480113,34.8800977133689,34.3724038120338,33.8010993323373,33.8210996421998,35.4339848013427,35.2776468156602,35.6225652300132,35.395296712849,34.9785661625552,34.4459611733042,34.4247246918865,35.2121742179411,34.8499609149356,34.9392443313611,32.7953384432056,30.0904210898665,35.8326210549415,35.2955941521133,35.998770381903,35.0076490744871,35.5545161751862,35.9908733290182,35.6045525783991,35.3442001867853,35.5226513912009,35.8946311364179,35.7526154542333,35.7007719317057,35.6999525616845,35.8258432582212,35.6706365513301,35.6863861481028,36.1966824632044,36.6482234601022,35.6269367768601,35.4201355829455,35.6677188306298,35.7101448708893,36.3930813238643,35.9969116638706,37.0545891363534,37.5556770428604,36.7107993122447,36.5436032887172,35.6936722331654,36.7542370075808,37.0797667181993,37.2383278405705,37.2854736984299,36.8722614295643,36.9066553767643,36.4574789126484,37.3304518289941,36.9616849156958,37.9593061193723,37.3868586441538,38.1585232065037,38.2561850849574,37.5081662770207,37.5220837860107,38.0025668157689,38.010692879397,34.1695052106199,37.2901144456884,38.8767531499532,38.9401612326989,38.5909165117073,39.4288482687424,39.1071765802617,39.0015680082947,39.0497568869035,39.6038888670738,39.8845679009267,38.8490380003468,40.3169768823273,39.8034486448699,40.1885844035766,40.1912653741389,40.8681635013175,40.3340434706064,40.7873063529865,41.154756993492,40.9251656052723,41.0615433753756,39.3338377302061,40.5718645442187,40.9456384816528,40.3770546038898,37.7638419000419,41.2509903845168,43.6993474794155,44.1806124957828,44.8010456490925,43.7624642144492,44.5763155552753,44.1265499053559,45.0263224650387,44.5348208449286,45.4534657539143,45.560470628332,45.4103277369189,45.8823889244363,46.6455656786465,46.6797854334445,46.671164499995,47.3290406611214,46.8132534763626,46.7569874765137,47.5693107353058,47.3548446576351,47.7775093377144,47.7683803971054,47.7811191929391,47.5680600084365,48.2086313961331,48.2279975135549,48.4635549803337,48.5288935079594,48.8391502133395,48.8852115026319,49.1473129699293,49.7417884420696,49.7463927789734,50.0369330479395,50.1650920091129,50.2105085588406,50.5643347857654,50.4656755424081,50.9354748396745,50.9836247332948,51.2206561698505,51.7216741919164,51.9264917095842,52.0853087620243,52.3336048732688,52.5636731231167,52.7730383711823,52.7535687987795,53.1213440646405,53.0928239631663,53.1716728301251,53.4003850096936,53.5037918232635,53.5724046560183,53.8277290712465,53.9899494666773,54.0400217234968,53.9016813531019,54.7881280034293,54.7142268507442,55.0653946173921,55.2382697181332,55.1943242872394,55.3025348213219,55.5091306715406,55.825330507166,55.6749214076183,55.8740727383014,56.2438557468702,55.9690591181426,56.1506772415869,56.1074457164947],"text":["Age: 30 ex_fr_female$Type: Predicted Year: 1816 Ex: 33.755725","Age: 30 ex_fr_female$Type: Predicted Year: 1817 Ex: 33.671135","Age: 30 ex_fr_female$Type: Predicted Year: 1818 Ex: 33.520099","Age: 30 ex_fr_female$Type: Predicted Year: 1819 Ex: 33.663742","Age: 30 ex_fr_female$Type: Predicted Year: 1820 Ex: 33.579530","Age: 30 ex_fr_female$Type: Predicted Year: 1821 Ex: 34.723380","Age: 30 ex_fr_female$Type: Predicted Year: 1822 Ex: 34.712092","Age: 30 ex_fr_female$Type: Predicted Year: 1823 Ex: 35.047825","Age: 30 ex_fr_female$Type: Predicted Year: 1824 Ex: 35.108066","Age: 30 ex_fr_female$Type: Predicted Year: 1825 Ex: 34.504298","Age: 30 ex_fr_female$Type: Predicted Year: 1826 Ex: 33.923846","Age: 30 ex_fr_female$Type: Predicted Year: 1827 Ex: 34.130149","Age: 30 ex_fr_female$Type: Predicted Year: 1828 Ex: 33.877055","Age: 30 ex_fr_female$Type: Predicted Year: 1829 Ex: 33.890892","Age: 30 ex_fr_female$Type: Predicted Year: 1830 Ex: 33.930160","Age: 30 ex_fr_female$Type: Predicted Year: 1831 Ex: 34.412446","Age: 30 ex_fr_female$Type: Predicted Year: 1832 Ex: 30.796318","Age: 30 ex_fr_female$Type: Predicted Year: 1833 Ex: 33.882607","Age: 30 ex_fr_female$Type: Predicted Year: 1834 Ex: 33.039781","Age: 30 ex_fr_female$Type: Predicted Year: 1835 Ex: 33.970706","Age: 30 ex_fr_female$Type: Predicted Year: 1836 Ex: 34.972304","Age: 30 ex_fr_female$Type: Predicted Year: 1837 Ex: 32.773721","Age: 30 ex_fr_female$Type: Predicted Year: 1838 Ex: 34.098876","Age: 30 ex_fr_female$Type: Predicted Year: 1839 Ex: 34.795488","Age: 30 ex_fr_female$Type: Predicted Year: 1840 Ex: 34.054339","Age: 30 ex_fr_female$Type: Predicted Year: 1841 Ex: 34.980733","Age: 30 ex_fr_female$Type: Predicted Year: 1842 Ex: 34.254801","Age: 30 ex_fr_female$Type: Predicted Year: 1843 Ex: 34.837436","Age: 30 ex_fr_female$Type: Predicted Year: 1844 Ex: 35.052753","Age: 30 ex_fr_female$Type: Predicted Year: 1845 Ex: 35.501300","Age: 30 ex_fr_female$Type: Predicted Year: 1846 Ex: 34.856603","Age: 30 ex_fr_female$Type: Predicted Year: 1847 Ex: 33.600246","Age: 30 ex_fr_female$Type: Predicted Year: 1848 Ex: 33.924925","Age: 30 ex_fr_female$Type: Predicted Year: 1849 Ex: 31.529711","Age: 30 ex_fr_female$Type: Predicted Year: 1850 Ex: 35.152465","Age: 30 ex_fr_female$Type: Predicted Year: 1851 Ex: 34.978279","Age: 30 ex_fr_female$Type: Predicted Year: 1852 Ex: 34.875432","Age: 30 ex_fr_female$Type: Predicted Year: 1853 Ex: 34.808542","Age: 30 ex_fr_female$Type: Predicted Year: 1854 Ex: 31.378027","Age: 30 ex_fr_female$Type: Predicted Year: 1855 Ex: 33.340020","Age: 30 ex_fr_female$Type: Predicted Year: 1856 Ex: 34.880098","Age: 30 ex_fr_female$Type: Predicted Year: 1857 Ex: 34.372404","Age: 30 ex_fr_female$Type: Predicted Year: 1858 Ex: 33.801099","Age: 30 ex_fr_female$Type: Predicted Year: 1859 Ex: 33.821100","Age: 30 ex_fr_female$Type: Predicted Year: 1860 Ex: 35.433985","Age: 30 ex_fr_female$Type: Predicted Year: 1861 Ex: 35.277647","Age: 30 ex_fr_female$Type: Predicted Year: 1862 Ex: 35.622565","Age: 30 ex_fr_female$Type: Predicted Year: 1863 Ex: 35.395297","Age: 30 ex_fr_female$Type: Predicted Year: 1864 Ex: 34.978566","Age: 30 ex_fr_female$Type: Predicted Year: 1865 Ex: 34.445961","Age: 30 ex_fr_female$Type: Predicted Year: 1866 Ex: 34.424725","Age: 30 ex_fr_female$Type: Predicted Year: 1867 Ex: 35.212174","Age: 30 ex_fr_female$Type: Predicted Year: 1868 Ex: 34.849961","Age: 30 ex_fr_female$Type: Predicted Year: 1869 Ex: 34.939244","Age: 30 ex_fr_female$Type: Predicted Year: 1870 Ex: 32.795338","Age: 30 ex_fr_female$Type: Predicted Year: 1871 Ex: 30.090421","Age: 30 ex_fr_female$Type: Predicted Year: 1872 Ex: 35.832621","Age: 30 ex_fr_female$Type: Predicted Year: 1873 Ex: 35.295594","Age: 30 ex_fr_female$Type: Predicted Year: 1874 Ex: 35.998770","Age: 30 ex_fr_female$Type: Predicted Year: 1875 Ex: 35.007649","Age: 30 ex_fr_female$Type: Predicted Year: 1876 Ex: 35.554516","Age: 30 ex_fr_female$Type: Predicted Year: 1877 Ex: 35.990873","Age: 30 ex_fr_female$Type: Predicted Year: 1878 Ex: 35.604553","Age: 30 ex_fr_female$Type: Predicted Year: 1879 Ex: 35.344200","Age: 30 ex_fr_female$Type: Predicted Year: 1880 Ex: 35.522651","Age: 30 ex_fr_female$Type: Predicted Year: 1881 Ex: 35.894631","Age: 30 ex_fr_female$Type: Predicted Year: 1882 Ex: 35.752615","Age: 30 ex_fr_female$Type: Predicted Year: 1883 Ex: 35.700772","Age: 30 ex_fr_female$Type: Predicted Year: 1884 Ex: 35.699953","Age: 30 ex_fr_female$Type: Predicted Year: 1885 Ex: 35.825843","Age: 30 ex_fr_female$Type: Predicted Year: 1886 Ex: 35.670637","Age: 30 ex_fr_female$Type: Predicted Year: 1887 Ex: 35.686386","Age: 30 ex_fr_female$Type: Predicted Year: 1888 Ex: 36.196682","Age: 30 ex_fr_female$Type: Predicted Year: 1889 Ex: 36.648223","Age: 30 ex_fr_female$Type: Predicted Year: 1890 Ex: 35.626937","Age: 30 ex_fr_female$Type: Predicted Year: 1891 Ex: 35.420136","Age: 30 ex_fr_female$Type: Predicted Year: 1892 Ex: 35.667719","Age: 30 ex_fr_female$Type: Predicted Year: 1893 Ex: 35.710145","Age: 30 ex_fr_female$Type: Predicted Year: 1894 Ex: 36.393081","Age: 30 ex_fr_female$Type: Predicted Year: 1895 Ex: 35.996912","Age: 30 ex_fr_female$Type: Predicted Year: 1896 Ex: 37.054589","Age: 30 ex_fr_female$Type: Predicted Year: 1897 Ex: 37.555677","Age: 30 ex_fr_female$Type: Predicted Year: 1898 Ex: 36.710799","Age: 30 ex_fr_female$Type: Predicted Year: 1899 Ex: 36.543603","Age: 30 ex_fr_female$Type: Predicted Year: 1900 Ex: 35.693672","Age: 30 ex_fr_female$Type: Predicted Year: 1901 Ex: 36.754237","Age: 30 ex_fr_female$Type: Predicted Year: 1902 Ex: 37.079767","Age: 30 ex_fr_female$Type: Predicted Year: 1903 Ex: 37.238328","Age: 30 ex_fr_female$Type: Predicted Year: 1904 Ex: 37.285474","Age: 30 ex_fr_female$Type: Predicted Year: 1905 Ex: 36.872261","Age: 30 ex_fr_female$Type: Predicted Year: 1906 Ex: 36.906655","Age: 30 ex_fr_female$Type: Predicted Year: 1907 Ex: 36.457479","Age: 30 ex_fr_female$Type: Predicted Year: 1908 Ex: 37.330452","Age: 30 ex_fr_female$Type: Predicted Year: 1909 Ex: 36.961685","Age: 30 ex_fr_female$Type: Predicted Year: 1910 Ex: 37.959306","Age: 30 ex_fr_female$Type: Predicted Year: 1911 Ex: 37.386859","Age: 30 ex_fr_female$Type: Predicted Year: 1912 Ex: 38.158523","Age: 30 ex_fr_female$Type: Predicted Year: 1913 Ex: 38.256185","Age: 30 ex_fr_female$Type: Predicted Year: 1914 Ex: 37.508166","Age: 30 ex_fr_female$Type: Predicted Year: 1915 Ex: 37.522084","Age: 30 ex_fr_female$Type: Predicted Year: 1916 Ex: 38.002567","Age: 30 ex_fr_female$Type: Predicted Year: 1917 Ex: 38.010693","Age: 30 ex_fr_female$Type: Predicted Year: 1918 Ex: 34.169505","Age: 30 ex_fr_female$Type: Predicted Year: 1919 Ex: 37.290114","Age: 30 ex_fr_female$Type: Predicted Year: 1920 Ex: 38.876753","Age: 30 ex_fr_female$Type: Predicted Year: 1921 Ex: 38.940161","Age: 30 ex_fr_female$Type: Predicted Year: 1922 Ex: 38.590917","Age: 30 ex_fr_female$Type: Predicted Year: 1923 Ex: 39.428848","Age: 30 ex_fr_female$Type: Predicted Year: 1924 Ex: 39.107177","Age: 30 ex_fr_female$Type: Predicted Year: 1925 Ex: 39.001568","Age: 30 ex_fr_female$Type: Predicted Year: 1926 Ex: 39.049757","Age: 30 ex_fr_female$Type: Predicted Year: 1927 Ex: 39.603889","Age: 30 ex_fr_female$Type: Predicted Year: 1928 Ex: 39.884568","Age: 30 ex_fr_female$Type: Predicted Year: 1929 Ex: 38.849038","Age: 30 ex_fr_female$Type: Predicted Year: 1930 Ex: 40.316977","Age: 30 ex_fr_female$Type: Predicted Year: 1931 Ex: 39.803449","Age: 30 ex_fr_female$Type: Predicted Year: 1932 Ex: 40.188584","Age: 30 ex_fr_female$Type: Predicted Year: 1933 Ex: 40.191265","Age: 30 ex_fr_female$Type: Predicted Year: 1934 Ex: 40.868164","Age: 30 ex_fr_female$Type: Predicted Year: 1935 Ex: 40.334043","Age: 30 ex_fr_female$Type: Predicted Year: 1936 Ex: 40.787306","Age: 30 ex_fr_female$Type: Predicted Year: 1937 Ex: 41.154757","Age: 30 ex_fr_female$Type: Predicted Year: 1938 Ex: 40.925166","Age: 30 ex_fr_female$Type: Predicted Year: 1939 Ex: 41.061543","Age: 30 ex_fr_female$Type: Predicted Year: 1940 Ex: 39.333838","Age: 30 ex_fr_female$Type: Predicted Year: 1941 Ex: 40.571865","Age: 30 ex_fr_female$Type: Predicted Year: 1942 Ex: 40.945638","Age: 30 ex_fr_female$Type: Predicted Year: 1943 Ex: 40.377055","Age: 30 ex_fr_female$Type: Predicted Year: 1944 Ex: 37.763842","Age: 30 ex_fr_female$Type: Predicted Year: 1945 Ex: 41.250990","Age: 30 ex_fr_female$Type: Predicted Year: 1946 Ex: 43.699347","Age: 30 ex_fr_female$Type: Predicted Year: 1947 Ex: 44.180612","Age: 30 ex_fr_female$Type: Predicted Year: 1948 Ex: 44.801046","Age: 30 ex_fr_female$Type: Predicted Year: 1949 Ex: 43.762464","Age: 30 ex_fr_female$Type: Predicted Year: 1950 Ex: 44.576316","Age: 30 ex_fr_female$Type: Predicted Year: 1951 Ex: 44.126550","Age: 30 ex_fr_female$Type: Predicted Year: 1952 Ex: 45.026322","Age: 30 ex_fr_female$Type: Predicted Year: 1953 Ex: 44.534821","Age: 30 ex_fr_female$Type: Predicted Year: 1954 Ex: 45.453466","Age: 30 ex_fr_female$Type: Predicted Year: 1955 Ex: 45.560471","Age: 30 ex_fr_female$Type: Predicted Year: 1956 Ex: 45.410328","Age: 30 ex_fr_female$Type: Predicted Year: 1957 Ex: 45.882389","Age: 30 ex_fr_female$Type: Predicted Year: 1958 Ex: 46.645566","Age: 30 ex_fr_female$Type: Predicted Year: 1959 Ex: 46.679785","Age: 30 ex_fr_female$Type: Predicted Year: 1960 Ex: 46.671164","Age: 30 ex_fr_female$Type: Predicted Year: 1961 Ex: 47.329041","Age: 30 ex_fr_female$Type: Predicted Year: 1962 Ex: 46.813253","Age: 30 ex_fr_female$Type: Predicted Year: 1963 Ex: 46.756987","Age: 30 ex_fr_female$Type: Predicted Year: 1964 Ex: 47.569311","Age: 30 ex_fr_female$Type: Predicted Year: 1965 Ex: 47.354845","Age: 30 ex_fr_female$Type: Predicted Year: 1966 Ex: 47.777509","Age: 30 ex_fr_female$Type: Predicted Year: 1967 Ex: 47.768380","Age: 30 ex_fr_female$Type: Predicted Year: 1968 Ex: 47.781119","Age: 30 ex_fr_female$Type: Predicted Year: 1969 Ex: 47.568060","Age: 30 ex_fr_female$Type: Predicted Year: 1970 Ex: 48.208631","Age: 30 ex_fr_female$Type: Predicted Year: 1971 Ex: 48.227998","Age: 30 ex_fr_female$Type: Predicted Year: 1972 Ex: 48.463555","Age: 30 ex_fr_female$Type: Predicted Year: 1973 Ex: 48.528894","Age: 30 ex_fr_female$Type: Predicted Year: 1974 Ex: 48.839150","Age: 30 ex_fr_female$Type: Predicted Year: 1975 Ex: 48.885212","Age: 30 ex_fr_female$Type: Predicted Year: 1976 Ex: 49.147313","Age: 30 ex_fr_female$Type: Predicted Year: 1977 Ex: 49.741788","Age: 30 ex_fr_female$Type: Predicted Year: 1978 Ex: 49.746393","Age: 30 ex_fr_female$Type: Predicted Year: 1979 Ex: 50.036933","Age: 30 ex_fr_female$Type: Predicted Year: 1980 Ex: 50.165092","Age: 30 ex_fr_female$Type: Predicted Year: 1981 Ex: 50.210509","Age: 30 ex_fr_female$Type: Predicted Year: 1982 Ex: 50.564335","Age: 30 ex_fr_female$Type: Predicted Year: 1983 Ex: 50.465676","Age: 30 ex_fr_female$Type: Predicted Year: 1984 Ex: 50.935475","Age: 30 ex_fr_female$Type: Predicted Year: 1985 Ex: 50.983625","Age: 30 ex_fr_female$Type: Predicted Year: 1986 Ex: 51.220656","Age: 30 ex_fr_female$Type: Predicted Year: 1987 Ex: 51.721674","Age: 30 ex_fr_female$Type: Predicted Year: 1988 Ex: 51.926492","Age: 30 ex_fr_female$Type: Predicted Year: 1989 Ex: 52.085309","Age: 30 ex_fr_female$Type: Predicted Year: 1990 Ex: 52.333605","Age: 30 ex_fr_female$Type: Predicted Year: 1991 Ex: 52.563673","Age: 30 ex_fr_female$Type: Predicted Year: 1992 Ex: 52.773038","Age: 30 ex_fr_female$Type: Predicted Year: 1993 Ex: 52.753569","Age: 30 ex_fr_female$Type: Predicted Year: 1994 Ex: 53.121344","Age: 30 ex_fr_female$Type: Predicted Year: 1995 Ex: 53.092824","Age: 30 ex_fr_female$Type: Predicted Year: 1996 Ex: 53.171673","Age: 30 ex_fr_female$Type: Predicted Year: 1997 Ex: 53.400385","Age: 30 ex_fr_female$Type: Predicted Year: 1998 Ex: 53.503792","Age: 30 ex_fr_female$Type: Predicted Year: 1999 Ex: 53.572405","Age: 30 ex_fr_female$Type: Predicted Year: 2000 Ex: 53.827729","Age: 30 ex_fr_female$Type: Predicted Year: 2001 Ex: 53.989949","Age: 30 ex_fr_female$Type: Predicted Year: 2002 Ex: 54.040022","Age: 30 ex_fr_female$Type: Predicted Year: 2003 Ex: 53.901681","Age: 30 ex_fr_female$Type: Predicted Year: 2004 Ex: 54.788128","Age: 30 ex_fr_female$Type: Predicted Year: 2005 Ex: 54.714227","Age: 30 ex_fr_female$Type: Predicted Year: 2006 Ex: 55.065395","Age: 30 ex_fr_female$Type: Predicted Year: 2007 Ex: 55.238270","Age: 30 ex_fr_female$Type: Predicted Year: 2008 Ex: 55.194324","Age: 30 ex_fr_female$Type: Predicted Year: 2009 Ex: 55.302535","Age: 30 ex_fr_female$Type: Predicted Year: 2010 Ex: 55.509131","Age: 30 ex_fr_female$Type: Predicted Year: 2011 Ex: 55.825331","Age: 30 ex_fr_female$Type: Predicted Year: 2012 Ex: 55.674921","Age: 30 ex_fr_female$Type: Predicted Year: 2013 Ex: 55.874073","Age: 30 ex_fr_female$Type: Predicted Year: 2014 Ex: 56.243856","Age: 30 ex_fr_female$Type: Predicted Year: 2015 Ex: 55.969059","Age: 30 ex_fr_female$Type: Predicted Year: 2016 Ex: 56.150677","Age: 30 ex_fr_female$Type: Predicted Year: 2017 Ex: 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33.480000","Age: 31 ex_fr_female$Type: Observed Year: 1832 Ex: 29.910000","Age: 31 ex_fr_female$Type: Observed Year: 1833 Ex: 32.970000","Age: 31 ex_fr_female$Type: Observed Year: 1834 Ex: 32.140000","Age: 31 ex_fr_female$Type: Observed Year: 1835 Ex: 33.050000","Age: 31 ex_fr_female$Type: Observed Year: 1836 Ex: 34.030000","Age: 31 ex_fr_female$Type: Observed Year: 1837 Ex: 31.840000","Age: 31 ex_fr_female$Type: Observed Year: 1838 Ex: 33.170000","Age: 31 ex_fr_female$Type: Observed Year: 1839 Ex: 33.870000","Age: 31 ex_fr_female$Type: Observed Year: 1840 Ex: 33.140000","Age: 31 ex_fr_female$Type: Observed Year: 1841 Ex: 34.070000","Age: 31 ex_fr_female$Type: Observed Year: 1842 Ex: 33.340000","Age: 31 ex_fr_female$Type: Observed Year: 1843 Ex: 33.920000","Age: 31 ex_fr_female$Type: Observed Year: 1844 Ex: 34.120000","Age: 31 ex_fr_female$Type: Observed Year: 1845 Ex: 34.560000","Age: 31 ex_fr_female$Type: Observed Year: 1846 Ex: 33.940000","Age: 31 ex_fr_female$Type: Observed Year: 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35.430000","Age: 31 ex_fr_female$Type: Observed Year: 1895 Ex: 35.030000","Age: 31 ex_fr_female$Type: Observed Year: 1896 Ex: 36.080000","Age: 31 ex_fr_female$Type: Observed Year: 1897 Ex: 36.580000","Age: 31 ex_fr_female$Type: Observed Year: 1898 Ex: 35.740000","Age: 31 ex_fr_female$Type: Observed Year: 1899 Ex: 35.590000","Age: 31 ex_fr_female$Type: Observed Year: 1900 Ex: 34.730000","Age: 31 ex_fr_female$Type: Observed Year: 1901 Ex: 35.780000","Age: 31 ex_fr_female$Type: Observed Year: 1902 Ex: 36.120000","Age: 31 ex_fr_female$Type: Observed Year: 1903 Ex: 36.260000","Age: 31 ex_fr_female$Type: Observed Year: 1904 Ex: 36.310000","Age: 31 ex_fr_female$Type: Observed Year: 1905 Ex: 35.880000","Age: 31 ex_fr_female$Type: Observed Year: 1906 Ex: 35.920000","Age: 31 ex_fr_female$Type: Observed Year: 1907 Ex: 35.470000","Age: 31 ex_fr_female$Type: Observed Year: 1908 Ex: 36.330000","Age: 31 ex_fr_female$Type: Observed Year: 1909 Ex: 35.970000","Age: 31 ex_fr_female$Type: Observed Year: 1910 Ex: 36.950000","Age: 31 ex_fr_female$Type: Observed Year: 1911 Ex: 36.380000","Age: 31 ex_fr_female$Type: Observed Year: 1912 Ex: 37.160000","Age: 31 ex_fr_female$Type: Observed Year: 1913 Ex: 37.240000","Age: 31 ex_fr_female$Type: Observed Year: 1914 Ex: 36.490000","Age: 31 ex_fr_female$Type: Observed Year: 1915 Ex: 36.500000","Age: 31 ex_fr_female$Type: Observed Year: 1916 Ex: 36.980000","Age: 31 ex_fr_female$Type: Observed Year: 1917 Ex: 36.980000","Age: 31 ex_fr_female$Type: Observed Year: 1918 Ex: 33.440000","Age: 31 ex_fr_female$Type: Observed Year: 1919 Ex: 36.340000","Age: 31 ex_fr_female$Type: Observed Year: 1920 Ex: 37.880000","Age: 31 ex_fr_female$Type: Observed Year: 1921 Ex: 37.920000","Age: 31 ex_fr_female$Type: Observed Year: 1922 Ex: 37.570000","Age: 31 ex_fr_female$Type: Observed Year: 1923 Ex: 38.400000","Age: 31 ex_fr_female$Type: Observed Year: 1924 Ex: 38.070000","Age: 31 ex_fr_female$Type: Observed Year: 1925 Ex: 37.960000","Age: 31 ex_fr_female$Type: Observed Year: 1926 Ex: 38.010000","Age: 31 ex_fr_female$Type: Observed Year: 1927 Ex: 38.570000","Age: 31 ex_fr_female$Type: Observed Year: 1928 Ex: 38.840000","Age: 31 ex_fr_female$Type: Observed Year: 1929 Ex: 37.810000","Age: 31 ex_fr_female$Type: Observed Year: 1930 Ex: 39.260000","Age: 31 ex_fr_female$Type: Observed Year: 1931 Ex: 38.750000","Age: 31 ex_fr_female$Type: Observed Year: 1932 Ex: 39.130000","Age: 31 ex_fr_female$Type: Observed Year: 1933 Ex: 39.120000","Age: 31 ex_fr_female$Type: Observed Year: 1934 Ex: 39.790000","Age: 31 ex_fr_female$Type: Observed Year: 1935 Ex: 39.250000","Age: 31 ex_fr_female$Type: Observed Year: 1936 Ex: 39.690000","Age: 31 ex_fr_female$Type: Observed Year: 1937 Ex: 40.070000","Age: 31 ex_fr_female$Type: Observed Year: 1938 Ex: 39.830000","Age: 31 ex_fr_female$Type: Observed Year: 1939 Ex: 39.970000","Age: 31 ex_fr_female$Type: Observed Year: 1940 Ex: 38.250000","Age: 31 ex_fr_female$Type: Observed Year: 1941 Ex: 39.480000","Age: 31 ex_fr_female$Type: Observed Year: 1942 Ex: 39.870000","Age: 31 ex_fr_female$Type: Observed Year: 1943 Ex: 39.390000","Age: 31 ex_fr_female$Type: Observed Year: 1944 Ex: 36.910000","Age: 31 ex_fr_female$Type: Observed Year: 1945 Ex: 40.220000","Age: 31 ex_fr_female$Type: Observed Year: 1946 Ex: 42.580000","Age: 31 ex_fr_female$Type: Observed Year: 1947 Ex: 43.030000","Age: 31 ex_fr_female$Type: Observed Year: 1948 Ex: 43.650000","Age: 31 ex_fr_female$Type: Observed Year: 1949 Ex: 42.590000","Age: 31 ex_fr_female$Type: Observed Year: 1950 Ex: 43.400000","Age: 31 ex_fr_female$Type: Observed Year: 1951 Ex: 42.960000","Age: 31 ex_fr_female$Type: Observed Year: 1952 Ex: 43.840000","Age: 31 ex_fr_female$Type: Observed Year: 1953 Ex: 43.350000","Age: 31 ex_fr_female$Type: Observed Year: 1954 Ex: 44.260000","Age: 31 ex_fr_female$Type: Observed Year: 1955 Ex: 44.360000","Age: 31 ex_fr_female$Type: Observed Year: 1956 Ex: 44.210000","Age: 31 ex_fr_female$Type: Observed Year: 1957 Ex: 44.680000","Age: 31 ex_fr_female$Type: Observed Year: 1958 Ex: 45.440000","Age: 31 ex_fr_female$Type: Observed Year: 1959 Ex: 45.470000","Age: 31 ex_fr_female$Type: Observed Year: 1960 Ex: 45.460000","Age: 31 ex_fr_female$Type: Observed Year: 1961 Ex: 46.120000","Age: 31 ex_fr_female$Type: Observed Year: 1962 Ex: 45.600000","Age: 31 ex_fr_female$Type: Observed Year: 1963 Ex: 45.550000","Age: 31 ex_fr_female$Type: Observed Year: 1964 Ex: 46.350000","Age: 31 ex_fr_female$Type: Observed Year: 1965 Ex: 46.140000","Age: 31 ex_fr_female$Type: Observed Year: 1966 Ex: 46.560000","Age: 31 ex_fr_female$Type: Observed Year: 1967 Ex: 46.550000","Age: 31 ex_fr_female$Type: Observed Year: 1968 Ex: 46.560000","Age: 31 ex_fr_female$Type: Observed Year: 1969 Ex: 46.350000","Age: 31 ex_fr_female$Type: Observed Year: 1970 Ex: 46.990000","Age: 31 ex_fr_female$Type: Observed Year: 1971 Ex: 47.010000","Age: 31 ex_fr_female$Type: Observed Year: 1972 Ex: 47.250000","Age: 31 ex_fr_female$Type: Observed Year: 1973 Ex: 47.310000","Age: 31 ex_fr_female$Type: Observed Year: 1974 Ex: 47.620000","Age: 31 ex_fr_female$Type: Observed Year: 1975 Ex: 47.670000","Age: 31 ex_fr_female$Type: Observed Year: 1976 Ex: 47.920000","Age: 31 ex_fr_female$Type: Observed Year: 1977 Ex: 48.520000","Age: 31 ex_fr_female$Type: Observed Year: 1978 Ex: 48.520000","Age: 31 ex_fr_female$Type: Observed Year: 1979 Ex: 48.820000","Age: 31 ex_fr_female$Type: Observed Year: 1980 Ex: 48.940000","Age: 31 ex_fr_female$Type: Observed Year: 1981 Ex: 48.990000","Age: 31 ex_fr_female$Type: Observed Year: 1982 Ex: 49.340000","Age: 31 ex_fr_female$Type: Observed Year: 1983 Ex: 49.250000","Age: 31 ex_fr_female$Type: Observed Year: 1984 Ex: 49.710000","Age: 31 ex_fr_female$Type: Observed Year: 1985 Ex: 49.760000","Age: 31 ex_fr_female$Type: Observed Year: 1986 Ex: 50.000000","Age: 31 ex_fr_female$Type: Observed Year: 1987 Ex: 50.500000","Age: 31 ex_fr_female$Type: Observed Year: 1988 Ex: 50.710000","Age: 31 ex_fr_female$Type: Observed Year: 1989 Ex: 50.860000","Age: 31 ex_fr_female$Type: Observed Year: 1990 Ex: 51.110000","Age: 31 ex_fr_female$Type: Observed Year: 1991 Ex: 51.340000","Age: 31 ex_fr_female$Type: Observed Year: 1992 Ex: 51.560000","Age: 31 ex_fr_female$Type: Observed Year: 1993 Ex: 51.530000","Age: 31 ex_fr_female$Type: Observed Year: 1994 Ex: 51.900000","Age: 31 ex_fr_female$Type: Observed Year: 1995 Ex: 51.880000","Age: 31 ex_fr_female$Type: Observed Year: 1996 Ex: 51.950000","Age: 31 ex_fr_female$Type: Observed Year: 1997 Ex: 52.180000","Age: 31 ex_fr_female$Type: Observed Year: 1998 Ex: 52.280000","Age: 31 ex_fr_female$Type: Observed Year: 1999 Ex: 52.350000","Age: 31 ex_fr_female$Type: Observed Year: 2000 Ex: 52.600000","Age: 31 ex_fr_female$Type: Observed Year: 2001 Ex: 52.760000","Age: 31 ex_fr_female$Type: Observed Year: 2002 Ex: 52.810000","Age: 31 ex_fr_female$Type: Observed Year: 2003 Ex: 52.670000","Age: 31 ex_fr_female$Type: Observed Year: 2004 Ex: 53.560000","Age: 31 ex_fr_female$Type: Observed Year: 2005 Ex: 53.480000","Age: 31 ex_fr_female$Type: Observed Year: 2006 Ex: 53.830000","Age: 31 ex_fr_female$Type: Observed Year: 2007 Ex: 54.000000","Age: 31 ex_fr_female$Type: Observed Year: 2008 Ex: 53.960000","Age: 31 ex_fr_female$Type: Observed Year: 2009 Ex: 54.070000","Age: 31 ex_fr_female$Type: Observed Year: 2010 Ex: 54.270000","Age: 31 ex_fr_female$Type: Observed Year: 2011 Ex: 54.590000","Age: 31 ex_fr_female$Type: Observed Year: 2012 Ex: 54.440000","Age: 31 ex_fr_female$Type: Observed Year: 2013 Ex: 54.640000","Age: 31 ex_fr_female$Type: Observed Year: 2014 Ex: 55.010000","Age: 31 ex_fr_female$Type: Observed Year: 2015 Ex: 54.730000","Age: 31 ex_fr_female$Type: Observed Year: 2016 Ex: 54.920000","Age: 31 ex_fr_female$Type: Observed Year: 2017 Ex: 54.870000"],"frame":"31","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[33.0600709434881,32.9683471105599,32.8436224875794,33.0037466783416,32.897957119056,34.0403809014534,34.0438389893322,34.3587667072978,34.4160583417759,33.8124066083169,33.2499750602406,33.4745951694793,33.209468584726,33.2247922254515,33.2539876238365,33.7433419212551,30.1826194660794,33.2329501626765,32.4066076450059,33.3101377627631,34.2895236222459,32.1078610167096,33.4334991182941,34.1370486854292,33.404450492102,34.3293631563209,33.6042750918083,34.1797616823156,34.3808271100806,34.8233875596844,34.1970376737965,32.9412711525066,33.2706458963021,30.9388800388377,34.4730903988841,34.2997288967933,34.2045985505874,34.1405320336813,30.7720583956436,32.6966178928922,34.2242373017441,33.7090666836349,33.1378020060695,33.1718075111476,34.7568626998481,34.6134736494952,34.9411604514651,34.7146475087785,34.312549339274,33.8015306054716,33.7766437530625,34.5263462526612,34.1740285454521,34.272846609697,32.1718231446069,29.5667838714829,35.1638194498966,34.6273786580978,35.3154053220285,34.3422623973387,34.8884156721425,35.3274960324041,34.9424728301059,34.676448163206,34.8502371875349,35.2210521225766,35.072746088406,35.0250498244577,35.0363034590632,35.1623271861274,35.0070623983305,35.0030749337495,35.5013993107436,35.9389350298545,34.9165176573124,34.706251241188,34.9633096849675,35.0149701164849,35.6831883091371,35.2816695960037,36.3356738435665,36.835014088057,35.9950792976092,35.8411044374719,34.9802550081288,36.034838895186,36.3709990042889,36.5167532717696,36.5605501372177,36.1358206057116,36.1682635866533,35.7263637264792,36.5880578351738,36.2192819189537,37.1975533639344,36.6329745896562,37.412820779015,37.4891018422586,36.7461513650636,36.7560599387437,37.2271274531617,37.2300195561466,33.7009307239878,36.5852465127172,38.1308783338497,38.1703360671389,37.8205329172413,38.6470704615937,38.3251485755754,38.2069426466368,38.2654663597616,38.8183737553461,39.0926729305176,38.056683448258,39.5077579986929,38.997298482804,39.3755601432617,39.3714749810434,40.0376612040753,39.4964986237684,39.9467561263832,40.3209674714004,40.0855668555447,40.2175993293688,38.5007930131506,39.7292547380118,40.1162738070205,39.6383047521874,37.1530350759321,40.4687735554168,42.8378069264649,43.2881991340875,43.9057196321243,42.8473418243673,43.6561659510386,43.2086449885562,44.092716148806,43.6009226525517,44.5137437843049,44.6123199829335,44.463802844615,44.9364261193874,45.6963537343236,45.7287619635649,45.7182831182804,46.3726119295761,45.8586627152965,45.803267604054,46.6083944829714,46.3960950711158,46.8172391320717,46.8071563671788,46.8147007090042,46.6047874189331,47.2492009748908,47.2685835605114,47.5062615486891,47.5692547302194,47.8759019331551,47.9205456039758,48.1784572163889,48.774791496349,48.7798917157016,49.0721167606216,49.2008637531874,49.2423334682893,49.5973881543357,49.5016637845658,49.969277931853,50.0204912356235,50.2510976960102,50.754466556956,50.9589006081643,51.1162692354236,51.3662703339591,51.5943997546156,51.8101654085241,51.7870217877672,52.1560856164353,52.130178128909,52.2043393939145,52.4305468252666,52.5308306519947,52.5994784862195,52.8538660620542,53.0113497265159,53.0609064044817,52.9235805317883,53.8103906997635,53.7342898263295,54.0834041691919,54.2574314658404,54.2145649317449,54.3222672857011,54.5267364102736,54.8452512118754,54.6931321364531,54.89068745233,55.2594662119445,54.9840377862247,55.1673749494155,55.1230179814124],"text":["Age: 31 ex_fr_female$Type: Predicted Year: 1816 Ex: 33.060071","Age: 31 ex_fr_female$Type: Predicted Year: 1817 Ex: 32.968347","Age: 31 ex_fr_female$Type: Predicted Year: 1818 Ex: 32.843622","Age: 31 ex_fr_female$Type: Predicted Year: 1819 Ex: 33.003747","Age: 31 ex_fr_female$Type: Predicted Year: 1820 Ex: 32.897957","Age: 31 ex_fr_female$Type: Predicted Year: 1821 Ex: 34.040381","Age: 31 ex_fr_female$Type: Predicted Year: 1822 Ex: 34.043839","Age: 31 ex_fr_female$Type: Predicted Year: 1823 Ex: 34.358767","Age: 31 ex_fr_female$Type: Predicted Year: 1824 Ex: 34.416058","Age: 31 ex_fr_female$Type: Predicted Year: 1825 Ex: 33.812407","Age: 31 ex_fr_female$Type: Predicted Year: 1826 Ex: 33.249975","Age: 31 ex_fr_female$Type: Predicted Year: 1827 Ex: 33.474595","Age: 31 ex_fr_female$Type: Predicted Year: 1828 Ex: 33.209469","Age: 31 ex_fr_female$Type: Predicted Year: 1829 Ex: 33.224792","Age: 31 ex_fr_female$Type: Predicted Year: 1830 Ex: 33.253988","Age: 31 ex_fr_female$Type: Predicted Year: 1831 Ex: 33.743342","Age: 31 ex_fr_female$Type: Predicted Year: 1832 Ex: 30.182619","Age: 31 ex_fr_female$Type: Predicted Year: 1833 Ex: 33.232950","Age: 31 ex_fr_female$Type: Predicted Year: 1834 Ex: 32.406608","Age: 31 ex_fr_female$Type: Predicted Year: 1835 Ex: 33.310138","Age: 31 ex_fr_female$Type: Predicted Year: 1836 Ex: 34.289524","Age: 31 ex_fr_female$Type: Predicted Year: 1837 Ex: 32.107861","Age: 31 ex_fr_female$Type: Predicted Year: 1838 Ex: 33.433499","Age: 31 ex_fr_female$Type: Predicted Year: 1839 Ex: 34.137049","Age: 31 ex_fr_female$Type: Predicted Year: 1840 Ex: 33.404450","Age: 31 ex_fr_female$Type: Predicted Year: 1841 Ex: 34.329363","Age: 31 ex_fr_female$Type: Predicted Year: 1842 Ex: 33.604275","Age: 31 ex_fr_female$Type: Predicted Year: 1843 Ex: 34.179762","Age: 31 ex_fr_female$Type: Predicted Year: 1844 Ex: 34.380827","Age: 31 ex_fr_female$Type: Predicted Year: 1845 Ex: 34.823388","Age: 31 ex_fr_female$Type: Predicted Year: 1846 Ex: 34.197038","Age: 31 ex_fr_female$Type: Predicted Year: 1847 Ex: 32.941271","Age: 31 ex_fr_female$Type: Predicted Year: 1848 Ex: 33.270646","Age: 31 ex_fr_female$Type: Predicted Year: 1849 Ex: 30.938880","Age: 31 ex_fr_female$Type: Predicted Year: 1850 Ex: 34.473090","Age: 31 ex_fr_female$Type: Predicted Year: 1851 Ex: 34.299729","Age: 31 ex_fr_female$Type: Predicted Year: 1852 Ex: 34.204599","Age: 31 ex_fr_female$Type: Predicted Year: 1853 Ex: 34.140532","Age: 31 ex_fr_female$Type: Predicted Year: 1854 Ex: 30.772058","Age: 31 ex_fr_female$Type: Predicted Year: 1855 Ex: 32.696618","Age: 31 ex_fr_female$Type: Predicted Year: 1856 Ex: 34.224237","Age: 31 ex_fr_female$Type: Predicted Year: 1857 Ex: 33.709067","Age: 31 ex_fr_female$Type: Predicted Year: 1858 Ex: 33.137802","Age: 31 ex_fr_female$Type: Predicted Year: 1859 Ex: 33.171808","Age: 31 ex_fr_female$Type: Predicted Year: 1860 Ex: 34.756863","Age: 31 ex_fr_female$Type: Predicted Year: 1861 Ex: 34.613474","Age: 31 ex_fr_female$Type: Predicted Year: 1862 Ex: 34.941160","Age: 31 ex_fr_female$Type: Predicted Year: 1863 Ex: 34.714648","Age: 31 ex_fr_female$Type: Predicted Year: 1864 Ex: 34.312549","Age: 31 ex_fr_female$Type: Predicted Year: 1865 Ex: 33.801531","Age: 31 ex_fr_female$Type: Predicted Year: 1866 Ex: 33.776644","Age: 31 ex_fr_female$Type: Predicted Year: 1867 Ex: 34.526346","Age: 31 ex_fr_female$Type: Predicted Year: 1868 Ex: 34.174029","Age: 31 ex_fr_female$Type: Predicted Year: 1869 Ex: 34.272847","Age: 31 ex_fr_female$Type: Predicted Year: 1870 Ex: 32.171823","Age: 31 ex_fr_female$Type: Predicted Year: 1871 Ex: 29.566784","Age: 31 ex_fr_female$Type: Predicted Year: 1872 Ex: 35.163819","Age: 31 ex_fr_female$Type: Predicted Year: 1873 Ex: 34.627379","Age: 31 ex_fr_female$Type: Predicted Year: 1874 Ex: 35.315405","Age: 31 ex_fr_female$Type: Predicted Year: 1875 Ex: 34.342262","Age: 31 ex_fr_female$Type: Predicted Year: 1876 Ex: 34.888416","Age: 31 ex_fr_female$Type: Predicted Year: 1877 Ex: 35.327496","Age: 31 ex_fr_female$Type: Predicted Year: 1878 Ex: 34.942473","Age: 31 ex_fr_female$Type: Predicted Year: 1879 Ex: 34.676448","Age: 31 ex_fr_female$Type: Predicted Year: 1880 Ex: 34.850237","Age: 31 ex_fr_female$Type: Predicted Year: 1881 Ex: 35.221052","Age: 31 ex_fr_female$Type: Predicted Year: 1882 Ex: 35.072746","Age: 31 ex_fr_female$Type: Predicted Year: 1883 Ex: 35.025050","Age: 31 ex_fr_female$Type: Predicted Year: 1884 Ex: 35.036303","Age: 31 ex_fr_female$Type: Predicted Year: 1885 Ex: 35.162327","Age: 31 ex_fr_female$Type: Predicted Year: 1886 Ex: 35.007062","Age: 31 ex_fr_female$Type: Predicted Year: 1887 Ex: 35.003075","Age: 31 ex_fr_female$Type: Predicted Year: 1888 Ex: 35.501399","Age: 31 ex_fr_female$Type: Predicted Year: 1889 Ex: 35.938935","Age: 31 ex_fr_female$Type: Predicted Year: 1890 Ex: 34.916518","Age: 31 ex_fr_female$Type: Predicted Year: 1891 Ex: 34.706251","Age: 31 ex_fr_female$Type: Predicted Year: 1892 Ex: 34.963310","Age: 31 ex_fr_female$Type: Predicted Year: 1893 Ex: 35.014970","Age: 31 ex_fr_female$Type: Predicted Year: 1894 Ex: 35.683188","Age: 31 ex_fr_female$Type: Predicted Year: 1895 Ex: 35.281670","Age: 31 ex_fr_female$Type: Predicted Year: 1896 Ex: 36.335674","Age: 31 ex_fr_female$Type: Predicted Year: 1897 Ex: 36.835014","Age: 31 ex_fr_female$Type: Predicted Year: 1898 Ex: 35.995079","Age: 31 ex_fr_female$Type: Predicted Year: 1899 Ex: 35.841104","Age: 31 ex_fr_female$Type: Predicted Year: 1900 Ex: 34.980255","Age: 31 ex_fr_female$Type: Predicted Year: 1901 Ex: 36.034839","Age: 31 ex_fr_female$Type: Predicted Year: 1902 Ex: 36.370999","Age: 31 ex_fr_female$Type: Predicted Year: 1903 Ex: 36.516753","Age: 31 ex_fr_female$Type: Predicted Year: 1904 Ex: 36.560550","Age: 31 ex_fr_female$Type: Predicted Year: 1905 Ex: 36.135821","Age: 31 ex_fr_female$Type: Predicted Year: 1906 Ex: 36.168264","Age: 31 ex_fr_female$Type: Predicted Year: 1907 Ex: 35.726364","Age: 31 ex_fr_female$Type: Predicted Year: 1908 Ex: 36.588058","Age: 31 ex_fr_female$Type: Predicted Year: 1909 Ex: 36.219282","Age: 31 ex_fr_female$Type: Predicted Year: 1910 Ex: 37.197553","Age: 31 ex_fr_female$Type: Predicted Year: 1911 Ex: 36.632975","Age: 31 ex_fr_female$Type: Predicted Year: 1912 Ex: 37.412821","Age: 31 ex_fr_female$Type: Predicted Year: 1913 Ex: 37.489102","Age: 31 ex_fr_female$Type: Predicted Year: 1914 Ex: 36.746151","Age: 31 ex_fr_female$Type: Predicted Year: 1915 Ex: 36.756060","Age: 31 ex_fr_female$Type: Predicted Year: 1916 Ex: 37.227127","Age: 31 ex_fr_female$Type: Predicted Year: 1917 Ex: 37.230020","Age: 31 ex_fr_female$Type: Predicted Year: 1918 Ex: 33.700931","Age: 31 ex_fr_female$Type: Predicted Year: 1919 Ex: 36.585247","Age: 31 ex_fr_female$Type: Predicted Year: 1920 Ex: 38.130878","Age: 31 ex_fr_female$Type: Predicted Year: 1921 Ex: 38.170336","Age: 31 ex_fr_female$Type: Predicted Year: 1922 Ex: 37.820533","Age: 31 ex_fr_female$Type: Predicted Year: 1923 Ex: 38.647070","Age: 31 ex_fr_female$Type: Predicted Year: 1924 Ex: 38.325149","Age: 31 ex_fr_female$Type: Predicted Year: 1925 Ex: 38.206943","Age: 31 ex_fr_female$Type: Predicted Year: 1926 Ex: 38.265466","Age: 31 ex_fr_female$Type: Predicted Year: 1927 Ex: 38.818374","Age: 31 ex_fr_female$Type: Predicted Year: 1928 Ex: 39.092673","Age: 31 ex_fr_female$Type: Predicted Year: 1929 Ex: 38.056683","Age: 31 ex_fr_female$Type: Predicted Year: 1930 Ex: 39.507758","Age: 31 ex_fr_female$Type: Predicted Year: 1931 Ex: 38.997298","Age: 31 ex_fr_female$Type: Predicted Year: 1932 Ex: 39.375560","Age: 31 ex_fr_female$Type: Predicted Year: 1933 Ex: 39.371475","Age: 31 ex_fr_female$Type: Predicted Year: 1934 Ex: 40.037661","Age: 31 ex_fr_female$Type: Predicted Year: 1935 Ex: 39.496499","Age: 31 ex_fr_female$Type: Predicted Year: 1936 Ex: 39.946756","Age: 31 ex_fr_female$Type: Predicted Year: 1937 Ex: 40.320967","Age: 31 ex_fr_female$Type: Predicted Year: 1938 Ex: 40.085567","Age: 31 ex_fr_female$Type: Predicted Year: 1939 Ex: 40.217599","Age: 31 ex_fr_female$Type: Predicted Year: 1940 Ex: 38.500793","Age: 31 ex_fr_female$Type: Predicted Year: 1941 Ex: 39.729255","Age: 31 ex_fr_female$Type: Predicted Year: 1942 Ex: 40.116274","Age: 31 ex_fr_female$Type: Predicted Year: 1943 Ex: 39.638305","Age: 31 ex_fr_female$Type: Predicted Year: 1944 Ex: 37.153035","Age: 31 ex_fr_female$Type: Predicted Year: 1945 Ex: 40.468774","Age: 31 ex_fr_female$Type: Predicted Year: 1946 Ex: 42.837807","Age: 31 ex_fr_female$Type: Predicted Year: 1947 Ex: 43.288199","Age: 31 ex_fr_female$Type: Predicted Year: 1948 Ex: 43.905720","Age: 31 ex_fr_female$Type: Predicted Year: 1949 Ex: 42.847342","Age: 31 ex_fr_female$Type: Predicted Year: 1950 Ex: 43.656166","Age: 31 ex_fr_female$Type: Predicted Year: 1951 Ex: 43.208645","Age: 31 ex_fr_female$Type: Predicted Year: 1952 Ex: 44.092716","Age: 31 ex_fr_female$Type: Predicted Year: 1953 Ex: 43.600923","Age: 31 ex_fr_female$Type: Predicted Year: 1954 Ex: 44.513744","Age: 31 ex_fr_female$Type: Predicted Year: 1955 Ex: 44.612320","Age: 31 ex_fr_female$Type: Predicted Year: 1956 Ex: 44.463803","Age: 31 ex_fr_female$Type: Predicted Year: 1957 Ex: 44.936426","Age: 31 ex_fr_female$Type: Predicted Year: 1958 Ex: 45.696354","Age: 31 ex_fr_female$Type: Predicted Year: 1959 Ex: 45.728762","Age: 31 ex_fr_female$Type: Predicted Year: 1960 Ex: 45.718283","Age: 31 ex_fr_female$Type: Predicted Year: 1961 Ex: 46.372612","Age: 31 ex_fr_female$Type: Predicted Year: 1962 Ex: 45.858663","Age: 31 ex_fr_female$Type: Predicted Year: 1963 Ex: 45.803268","Age: 31 ex_fr_female$Type: Predicted Year: 1964 Ex: 46.608394","Age: 31 ex_fr_female$Type: Predicted Year: 1965 Ex: 46.396095","Age: 31 ex_fr_female$Type: Predicted Year: 1966 Ex: 46.817239","Age: 31 ex_fr_female$Type: Predicted Year: 1967 Ex: 46.807156","Age: 31 ex_fr_female$Type: Predicted Year: 1968 Ex: 46.814701","Age: 31 ex_fr_female$Type: Predicted Year: 1969 Ex: 46.604787","Age: 31 ex_fr_female$Type: Predicted Year: 1970 Ex: 47.249201","Age: 31 ex_fr_female$Type: Predicted Year: 1971 Ex: 47.268584","Age: 31 ex_fr_female$Type: Predicted Year: 1972 Ex: 47.506262","Age: 31 ex_fr_female$Type: Predicted Year: 1973 Ex: 47.569255","Age: 31 ex_fr_female$Type: Predicted Year: 1974 Ex: 47.875902","Age: 31 ex_fr_female$Type: Predicted Year: 1975 Ex: 47.920546","Age: 31 ex_fr_female$Type: Predicted Year: 1976 Ex: 48.178457","Age: 31 ex_fr_female$Type: Predicted Year: 1977 Ex: 48.774791","Age: 31 ex_fr_female$Type: Predicted Year: 1978 Ex: 48.779892","Age: 31 ex_fr_female$Type: Predicted Year: 1979 Ex: 49.072117","Age: 31 ex_fr_female$Type: Predicted Year: 1980 Ex: 49.200864","Age: 31 ex_fr_female$Type: Predicted Year: 1981 Ex: 49.242333","Age: 31 ex_fr_female$Type: Predicted Year: 1982 Ex: 49.597388","Age: 31 ex_fr_female$Type: Predicted Year: 1983 Ex: 49.501664","Age: 31 ex_fr_female$Type: Predicted Year: 1984 Ex: 49.969278","Age: 31 ex_fr_female$Type: Predicted Year: 1985 Ex: 50.020491","Age: 31 ex_fr_female$Type: Predicted Year: 1986 Ex: 50.251098","Age: 31 ex_fr_female$Type: Predicted Year: 1987 Ex: 50.754467","Age: 31 ex_fr_female$Type: Predicted Year: 1988 Ex: 50.958901","Age: 31 ex_fr_female$Type: Predicted Year: 1989 Ex: 51.116269","Age: 31 ex_fr_female$Type: Predicted Year: 1990 Ex: 51.366270","Age: 31 ex_fr_female$Type: Predicted Year: 1991 Ex: 51.594400","Age: 31 ex_fr_female$Type: Predicted Year: 1992 Ex: 51.810165","Age: 31 ex_fr_female$Type: Predicted Year: 1993 Ex: 51.787022","Age: 31 ex_fr_female$Type: Predicted Year: 1994 Ex: 52.156086","Age: 31 ex_fr_female$Type: Predicted Year: 1995 Ex: 52.130178","Age: 31 ex_fr_female$Type: Predicted Year: 1996 Ex: 52.204339","Age: 31 ex_fr_female$Type: Predicted Year: 1997 Ex: 52.430547","Age: 31 ex_fr_female$Type: Predicted Year: 1998 Ex: 52.530831","Age: 31 ex_fr_female$Type: Predicted Year: 1999 Ex: 52.599478","Age: 31 ex_fr_female$Type: Predicted Year: 2000 Ex: 52.853866","Age: 31 ex_fr_female$Type: Predicted Year: 2001 Ex: 53.011350","Age: 31 ex_fr_female$Type: Predicted Year: 2002 Ex: 53.060906","Age: 31 ex_fr_female$Type: Predicted Year: 2003 Ex: 52.923581","Age: 31 ex_fr_female$Type: Predicted Year: 2004 Ex: 53.810391","Age: 31 ex_fr_female$Type: Predicted Year: 2005 Ex: 53.734290","Age: 31 ex_fr_female$Type: Predicted Year: 2006 Ex: 54.083404","Age: 31 ex_fr_female$Type: Predicted Year: 2007 Ex: 54.257431","Age: 31 ex_fr_female$Type: Predicted Year: 2008 Ex: 54.214565","Age: 31 ex_fr_female$Type: Predicted Year: 2009 Ex: 54.322267","Age: 31 ex_fr_female$Type: Predicted Year: 2010 Ex: 54.526736","Age: 31 ex_fr_female$Type: Predicted Year: 2011 Ex: 54.845251","Age: 31 ex_fr_female$Type: Predicted Year: 2012 Ex: 54.693132","Age: 31 ex_fr_female$Type: Predicted Year: 2013 Ex: 54.890687","Age: 31 ex_fr_female$Type: Predicted Year: 2014 Ex: 55.259466","Age: 31 ex_fr_female$Type: Predicted Year: 2015 Ex: 54.984038","Age: 31 ex_fr_female$Type: Predicted Year: 2016 Ex: 55.167375","Age: 31 ex_fr_female$Type: Predicted Year: 2017 Ex: 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32.810000","Age: 32 ex_fr_female$Type: Observed Year: 1832 Ex: 29.300000","Age: 32 ex_fr_female$Type: Observed Year: 1833 Ex: 32.320000","Age: 32 ex_fr_female$Type: Observed Year: 1834 Ex: 31.500000","Age: 32 ex_fr_female$Type: Observed Year: 1835 Ex: 32.380000","Age: 32 ex_fr_female$Type: Observed Year: 1836 Ex: 33.340000","Age: 32 ex_fr_female$Type: Observed Year: 1837 Ex: 31.180000","Age: 32 ex_fr_female$Type: Observed Year: 1838 Ex: 32.500000","Age: 32 ex_fr_female$Type: Observed Year: 1839 Ex: 33.210000","Age: 32 ex_fr_female$Type: Observed Year: 1840 Ex: 32.490000","Age: 32 ex_fr_female$Type: Observed Year: 1841 Ex: 33.410000","Age: 32 ex_fr_female$Type: Observed Year: 1842 Ex: 32.690000","Age: 32 ex_fr_female$Type: Observed Year: 1843 Ex: 33.250000","Age: 32 ex_fr_female$Type: Observed Year: 1844 Ex: 33.440000","Age: 32 ex_fr_female$Type: Observed Year: 1845 Ex: 33.880000","Age: 32 ex_fr_female$Type: Observed Year: 1846 Ex: 33.280000","Age: 32 ex_fr_female$Type: Observed Year: 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34.720000","Age: 32 ex_fr_female$Type: Observed Year: 1895 Ex: 34.310000","Age: 32 ex_fr_female$Type: Observed Year: 1896 Ex: 35.350000","Age: 32 ex_fr_female$Type: Observed Year: 1897 Ex: 35.840000","Age: 32 ex_fr_female$Type: Observed Year: 1898 Ex: 35.000000","Age: 32 ex_fr_female$Type: Observed Year: 1899 Ex: 34.860000","Age: 32 ex_fr_female$Type: Observed Year: 1900 Ex: 34.010000","Age: 32 ex_fr_female$Type: Observed Year: 1901 Ex: 35.040000","Age: 32 ex_fr_female$Type: Observed Year: 1902 Ex: 35.390000","Age: 32 ex_fr_female$Type: Observed Year: 1903 Ex: 35.530000","Age: 32 ex_fr_female$Type: Observed Year: 1904 Ex: 35.560000","Age: 32 ex_fr_female$Type: Observed Year: 1905 Ex: 35.160000","Age: 32 ex_fr_female$Type: Observed Year: 1906 Ex: 35.170000","Age: 32 ex_fr_female$Type: Observed Year: 1907 Ex: 34.730000","Age: 32 ex_fr_female$Type: Observed Year: 1908 Ex: 35.580000","Age: 32 ex_fr_female$Type: Observed Year: 1909 Ex: 35.210000","Age: 32 ex_fr_female$Type: Observed Year: 1910 Ex: 36.190000","Age: 32 ex_fr_female$Type: Observed Year: 1911 Ex: 35.620000","Age: 32 ex_fr_female$Type: Observed Year: 1912 Ex: 36.390000","Age: 32 ex_fr_female$Type: Observed Year: 1913 Ex: 36.470000","Age: 32 ex_fr_female$Type: Observed Year: 1914 Ex: 35.740000","Age: 32 ex_fr_female$Type: Observed Year: 1915 Ex: 35.740000","Age: 32 ex_fr_female$Type: Observed Year: 1916 Ex: 36.210000","Age: 32 ex_fr_female$Type: Observed Year: 1917 Ex: 36.200000","Age: 32 ex_fr_female$Type: Observed Year: 1918 Ex: 32.970000","Age: 32 ex_fr_female$Type: Observed Year: 1919 Ex: 35.640000","Age: 32 ex_fr_female$Type: Observed Year: 1920 Ex: 37.130000","Age: 32 ex_fr_female$Type: Observed Year: 1921 Ex: 37.140000","Age: 32 ex_fr_female$Type: Observed Year: 1922 Ex: 36.790000","Age: 32 ex_fr_female$Type: Observed Year: 1923 Ex: 37.600000","Age: 32 ex_fr_female$Type: Observed Year: 1924 Ex: 37.280000","Age: 32 ex_fr_female$Type: Observed Year: 1925 Ex: 37.170000","Age: 32 ex_fr_female$Type: Observed Year: 1926 Ex: 37.230000","Age: 32 ex_fr_female$Type: Observed Year: 1927 Ex: 37.760000","Age: 32 ex_fr_female$Type: Observed Year: 1928 Ex: 38.030000","Age: 32 ex_fr_female$Type: Observed Year: 1929 Ex: 37.000000","Age: 32 ex_fr_female$Type: Observed Year: 1930 Ex: 38.440000","Age: 32 ex_fr_female$Type: Observed Year: 1931 Ex: 37.930000","Age: 32 ex_fr_female$Type: Observed Year: 1932 Ex: 38.290000","Age: 32 ex_fr_female$Type: Observed Year: 1933 Ex: 38.290000","Age: 32 ex_fr_female$Type: Observed Year: 1934 Ex: 38.950000","Age: 32 ex_fr_female$Type: Observed Year: 1935 Ex: 38.410000","Age: 32 ex_fr_female$Type: Observed Year: 1936 Ex: 38.860000","Age: 32 ex_fr_female$Type: Observed Year: 1937 Ex: 39.230000","Age: 32 ex_fr_female$Type: Observed Year: 1938 Ex: 38.980000","Age: 32 ex_fr_female$Type: Observed Year: 1939 Ex: 39.110000","Age: 32 ex_fr_female$Type: Observed Year: 1940 Ex: 37.420000","Age: 32 ex_fr_female$Type: Observed Year: 1941 Ex: 38.640000","Age: 32 ex_fr_female$Type: Observed Year: 1942 Ex: 39.030000","Age: 32 ex_fr_female$Type: Observed Year: 1943 Ex: 38.630000","Age: 32 ex_fr_female$Type: Observed Year: 1944 Ex: 36.260000","Age: 32 ex_fr_female$Type: Observed Year: 1945 Ex: 39.410000","Age: 32 ex_fr_female$Type: Observed Year: 1946 Ex: 41.700000","Age: 32 ex_fr_female$Type: Observed Year: 1947 Ex: 42.150000","Age: 32 ex_fr_female$Type: Observed Year: 1948 Ex: 42.750000","Age: 32 ex_fr_female$Type: Observed Year: 1949 Ex: 41.690000","Age: 32 ex_fr_female$Type: Observed Year: 1950 Ex: 42.490000","Age: 32 ex_fr_female$Type: Observed Year: 1951 Ex: 42.040000","Age: 32 ex_fr_female$Type: Observed Year: 1952 Ex: 42.910000","Age: 32 ex_fr_female$Type: Observed Year: 1953 Ex: 42.410000","Age: 32 ex_fr_female$Type: Observed Year: 1954 Ex: 43.320000","Age: 32 ex_fr_female$Type: Observed Year: 1955 Ex: 43.410000","Age: 32 ex_fr_female$Type: Observed Year: 1956 Ex: 43.270000","Age: 32 ex_fr_female$Type: Observed Year: 1957 Ex: 43.740000","Age: 32 ex_fr_female$Type: Observed Year: 1958 Ex: 44.490000","Age: 32 ex_fr_female$Type: Observed Year: 1959 Ex: 44.530000","Age: 32 ex_fr_female$Type: Observed Year: 1960 Ex: 44.510000","Age: 32 ex_fr_female$Type: Observed Year: 1961 Ex: 45.170000","Age: 32 ex_fr_female$Type: Observed Year: 1962 Ex: 44.650000","Age: 32 ex_fr_female$Type: Observed Year: 1963 Ex: 44.590000","Age: 32 ex_fr_female$Type: Observed Year: 1964 Ex: 45.400000","Age: 32 ex_fr_female$Type: Observed Year: 1965 Ex: 45.190000","Age: 32 ex_fr_female$Type: Observed Year: 1966 Ex: 45.600000","Age: 32 ex_fr_female$Type: Observed Year: 1967 Ex: 45.590000","Age: 32 ex_fr_female$Type: Observed Year: 1968 Ex: 45.600000","Age: 32 ex_fr_female$Type: Observed Year: 1969 Ex: 45.390000","Age: 32 ex_fr_female$Type: Observed Year: 1970 Ex: 46.030000","Age: 32 ex_fr_female$Type: Observed Year: 1971 Ex: 46.050000","Age: 32 ex_fr_female$Type: Observed Year: 1972 Ex: 46.290000","Age: 32 ex_fr_female$Type: Observed Year: 1973 Ex: 46.350000","Age: 32 ex_fr_female$Type: Observed Year: 1974 Ex: 46.660000","Age: 32 ex_fr_female$Type: Observed Year: 1975 Ex: 46.710000","Age: 32 ex_fr_female$Type: Observed Year: 1976 Ex: 46.950000","Age: 32 ex_fr_female$Type: Observed Year: 1977 Ex: 47.550000","Age: 32 ex_fr_female$Type: Observed Year: 1978 Ex: 47.560000","Age: 32 ex_fr_female$Type: Observed Year: 1979 Ex: 47.850000","Age: 32 ex_fr_female$Type: Observed Year: 1980 Ex: 47.980000","Age: 32 ex_fr_female$Type: Observed Year: 1981 Ex: 48.020000","Age: 32 ex_fr_female$Type: Observed Year: 1982 Ex: 48.380000","Age: 32 ex_fr_female$Type: Observed Year: 1983 Ex: 48.280000","Age: 32 ex_fr_female$Type: Observed Year: 1984 Ex: 48.750000","Age: 32 ex_fr_female$Type: Observed Year: 1985 Ex: 48.800000","Age: 32 ex_fr_female$Type: Observed Year: 1986 Ex: 49.030000","Age: 32 ex_fr_female$Type: Observed Year: 1987 Ex: 49.530000","Age: 32 ex_fr_female$Type: Observed Year: 1988 Ex: 49.740000","Age: 32 ex_fr_female$Type: Observed Year: 1989 Ex: 49.890000","Age: 32 ex_fr_female$Type: Observed Year: 1990 Ex: 50.150000","Age: 32 ex_fr_female$Type: Observed Year: 1991 Ex: 50.370000","Age: 32 ex_fr_female$Type: Observed Year: 1992 Ex: 50.590000","Age: 32 ex_fr_female$Type: Observed Year: 1993 Ex: 50.570000","Age: 32 ex_fr_female$Type: Observed Year: 1994 Ex: 50.940000","Age: 32 ex_fr_female$Type: Observed Year: 1995 Ex: 50.910000","Age: 32 ex_fr_female$Type: Observed Year: 1996 Ex: 50.990000","Age: 32 ex_fr_female$Type: Observed Year: 1997 Ex: 51.210000","Age: 32 ex_fr_female$Type: Observed Year: 1998 Ex: 51.300000","Age: 32 ex_fr_female$Type: Observed Year: 1999 Ex: 51.370000","Age: 32 ex_fr_female$Type: Observed Year: 2000 Ex: 51.630000","Age: 32 ex_fr_female$Type: Observed Year: 2001 Ex: 51.780000","Age: 32 ex_fr_female$Type: Observed Year: 2002 Ex: 51.830000","Age: 32 ex_fr_female$Type: Observed Year: 2003 Ex: 51.690000","Age: 32 ex_fr_female$Type: Observed Year: 2004 Ex: 52.580000","Age: 32 ex_fr_female$Type: Observed Year: 2005 Ex: 52.510000","Age: 32 ex_fr_female$Type: Observed Year: 2006 Ex: 52.850000","Age: 32 ex_fr_female$Type: Observed Year: 2007 Ex: 53.020000","Age: 32 ex_fr_female$Type: Observed Year: 2008 Ex: 52.980000","Age: 32 ex_fr_female$Type: Observed Year: 2009 Ex: 53.090000","Age: 32 ex_fr_female$Type: Observed Year: 2010 Ex: 53.290000","Age: 32 ex_fr_female$Type: Observed Year: 2011 Ex: 53.610000","Age: 32 ex_fr_female$Type: Observed Year: 2012 Ex: 53.460000","Age: 32 ex_fr_female$Type: Observed Year: 2013 Ex: 53.660000","Age: 32 ex_fr_female$Type: Observed Year: 2014 Ex: 54.020000","Age: 32 ex_fr_female$Type: Observed Year: 2015 Ex: 53.750000","Age: 32 ex_fr_female$Type: Observed Year: 2016 Ex: 53.930000","Age: 32 ex_fr_female$Type: Observed Year: 2017 Ex: 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32 ex_fr_female$Type: Predicted Year: 1816 Ex: 32.373826","Age: 32 ex_fr_female$Type: Predicted Year: 1817 Ex: 32.274663","Age: 32 ex_fr_female$Type: Predicted Year: 1818 Ex: 32.163784","Age: 32 ex_fr_female$Type: Predicted Year: 1819 Ex: 32.339283","Age: 32 ex_fr_female$Type: Predicted Year: 1820 Ex: 32.215712","Age: 32 ex_fr_female$Type: Predicted Year: 1821 Ex: 33.350040","Age: 32 ex_fr_female$Type: Predicted Year: 1822 Ex: 33.374187","Age: 32 ex_fr_female$Type: Predicted Year: 1823 Ex: 33.677517","Age: 32 ex_fr_female$Type: Predicted Year: 1824 Ex: 33.725421","Age: 32 ex_fr_female$Type: Predicted Year: 1825 Ex: 33.125004","Age: 32 ex_fr_female$Type: Predicted Year: 1826 Ex: 32.560270","Age: 32 ex_fr_female$Type: Predicted Year: 1827 Ex: 32.804999","Age: 32 ex_fr_female$Type: Predicted Year: 1828 Ex: 32.547129","Age: 32 ex_fr_female$Type: Predicted Year: 1829 Ex: 32.565256","Age: 32 ex_fr_female$Type: Predicted Year: 1830 Ex: 32.582843","Age: 32 ex_fr_female$Type: Predicted Year: 1831 Ex: 33.074424","Age: 32 ex_fr_female$Type: Predicted Year: 1832 Ex: 29.569815","Age: 32 ex_fr_female$Type: Predicted Year: 1833 Ex: 32.584746","Age: 32 ex_fr_female$Type: Predicted Year: 1834 Ex: 31.772428","Age: 32 ex_fr_female$Type: Predicted Year: 1835 Ex: 32.644859","Age: 32 ex_fr_female$Type: Predicted Year: 1836 Ex: 33.604211","Age: 32 ex_fr_female$Type: Predicted Year: 1837 Ex: 31.441495","Age: 32 ex_fr_female$Type: Predicted Year: 1838 Ex: 32.769479","Age: 32 ex_fr_female$Type: Predicted Year: 1839 Ex: 33.477828","Age: 32 ex_fr_female$Type: Predicted Year: 1840 Ex: 32.750773","Age: 32 ex_fr_female$Type: Predicted Year: 1841 Ex: 33.674483","Age: 32 ex_fr_female$Type: Predicted Year: 1842 Ex: 32.952701","Age: 32 ex_fr_female$Type: Predicted Year: 1843 Ex: 33.516551","Age: 32 ex_fr_female$Type: Predicted Year: 1844 Ex: 33.705941","Age: 32 ex_fr_female$Type: Predicted Year: 1845 Ex: 34.143740","Age: 32 ex_fr_female$Type: Predicted Year: 1846 Ex: 33.538765","Age: 32 ex_fr_female$Type: Predicted Year: 1847 Ex: 32.285997","Age: 32 ex_fr_female$Type: Predicted Year: 1848 Ex: 32.614898","Age: 32 ex_fr_female$Type: Predicted Year: 1849 Ex: 30.345502","Age: 32 ex_fr_female$Type: Predicted Year: 1850 Ex: 33.789145","Age: 32 ex_fr_female$Type: Predicted Year: 1851 Ex: 33.618605","Age: 32 ex_fr_female$Type: Predicted Year: 1852 Ex: 33.529723","Age: 32 ex_fr_female$Type: Predicted Year: 1853 Ex: 33.467416","Age: 32 ex_fr_female$Type: Predicted Year: 1854 Ex: 30.164183","Age: 32 ex_fr_female$Type: Predicted Year: 1855 Ex: 32.044276","Age: 32 ex_fr_female$Type: Predicted Year: 1856 Ex: 33.565559","Age: 32 ex_fr_female$Type: Predicted Year: 1857 Ex: 33.045510","Age: 32 ex_fr_female$Type: Predicted Year: 1858 Ex: 32.471425","Age: 32 ex_fr_female$Type: Predicted Year: 1859 Ex: 32.517993","Age: 32 ex_fr_female$Type: Predicted Year: 1860 Ex: 34.077631","Age: 32 ex_fr_female$Type: Predicted Year: 1861 Ex: 33.944954","Age: 32 ex_fr_female$Type: Predicted Year: 1862 Ex: 34.257050","Age: 32 ex_fr_female$Type: Predicted Year: 1863 Ex: 34.031222","Age: 32 ex_fr_female$Type: Predicted Year: 1864 Ex: 33.642471","Age: 32 ex_fr_female$Type: Predicted Year: 1865 Ex: 33.155735","Age: 32 ex_fr_female$Type: Predicted Year: 1866 Ex: 33.129238","Age: 32 ex_fr_female$Type: Predicted Year: 1867 Ex: 33.837401","Age: 32 ex_fr_female$Type: Predicted Year: 1868 Ex: 33.492399","Age: 32 ex_fr_female$Type: Predicted Year: 1869 Ex: 33.602040","Age: 32 ex_fr_female$Type: Predicted Year: 1870 Ex: 31.546487","Age: 32 ex_fr_female$Type: Predicted Year: 1871 Ex: 29.035012","Age: 32 ex_fr_female$Type: Predicted Year: 1872 Ex: 34.491548","Age: 32 ex_fr_female$Type: Predicted Year: 1873 Ex: 33.955893","Age: 32 ex_fr_female$Type: Predicted Year: 1874 Ex: 34.624540","Age: 32 ex_fr_female$Type: Predicted Year: 1875 Ex: 33.673157","Age: 32 ex_fr_female$Type: Predicted Year: 1876 Ex: 34.220137","Age: 32 ex_fr_female$Type: Predicted Year: 1877 Ex: 34.653960","Age: 32 ex_fr_female$Type: Predicted Year: 1878 Ex: 34.263937","Age: 32 ex_fr_female$Type: Predicted Year: 1879 Ex: 34.006470","Age: 32 ex_fr_female$Type: Predicted Year: 1880 Ex: 34.181937","Age: 32 ex_fr_female$Type: Predicted Year: 1881 Ex: 34.551074","Age: 32 ex_fr_female$Type: Predicted Year: 1882 Ex: 34.391587","Age: 32 ex_fr_female$Type: Predicted Year: 1883 Ex: 34.345193","Age: 32 ex_fr_female$Type: Predicted Year: 1884 Ex: 34.364221","Age: 32 ex_fr_female$Type: Predicted Year: 1885 Ex: 34.485493","Age: 32 ex_fr_female$Type: Predicted Year: 1886 Ex: 34.338883","Age: 32 ex_fr_female$Type: Predicted Year: 1887 Ex: 34.317095","Age: 32 ex_fr_female$Type: Predicted Year: 1888 Ex: 34.797710","Age: 32 ex_fr_female$Type: Predicted Year: 1889 Ex: 35.228587","Age: 32 ex_fr_female$Type: Predicted Year: 1890 Ex: 34.219333","Age: 32 ex_fr_female$Type: Predicted Year: 1891 Ex: 34.000660","Age: 32 ex_fr_female$Type: Predicted Year: 1892 Ex: 34.242555","Age: 32 ex_fr_female$Type: Predicted Year: 1893 Ex: 34.321089","Age: 32 ex_fr_female$Type: Predicted Year: 1894 Ex: 34.972878","Age: 32 ex_fr_female$Type: Predicted Year: 1895 Ex: 34.562794","Age: 32 ex_fr_female$Type: Predicted Year: 1896 Ex: 35.609064","Age: 32 ex_fr_female$Type: Predicted Year: 1897 Ex: 36.091350","Age: 32 ex_fr_female$Type: Predicted Year: 1898 Ex: 35.250852","Age: 32 ex_fr_female$Type: Predicted Year: 1899 Ex: 35.114283","Age: 32 ex_fr_female$Type: Predicted Year: 1900 Ex: 34.262071","Age: 32 ex_fr_female$Type: Predicted Year: 1901 Ex: 35.290898","Age: 32 ex_fr_female$Type: Predicted Year: 1902 Ex: 35.641767","Age: 32 ex_fr_female$Type: Predicted Year: 1903 Ex: 35.788984","Age: 32 ex_fr_female$Type: Predicted Year: 1904 Ex: 35.810956","Age: 32 ex_fr_female$Type: Predicted Year: 1905 Ex: 35.408763","Age: 32 ex_fr_female$Type: Predicted Year: 1906 Ex: 35.418100","Age: 32 ex_fr_female$Type: Predicted Year: 1907 Ex: 34.988362","Age: 32 ex_fr_female$Type: Predicted Year: 1908 Ex: 35.839744","Age: 32 ex_fr_female$Type: Predicted Year: 1909 Ex: 35.464800","Age: 32 ex_fr_female$Type: Predicted Year: 1910 Ex: 36.438712","Age: 32 ex_fr_female$Type: Predicted Year: 1911 Ex: 35.871878","Age: 32 ex_fr_female$Type: Predicted Year: 1912 Ex: 36.640535","Age: 32 ex_fr_female$Type: Predicted Year: 1913 Ex: 36.725848","Age: 32 ex_fr_female$Type: Predicted Year: 1914 Ex: 35.996386","Age: 32 ex_fr_female$Type: Predicted Year: 1915 Ex: 35.995777","Age: 32 ex_fr_female$Type: Predicted Year: 1916 Ex: 36.457392","Age: 32 ex_fr_female$Type: Predicted Year: 1917 Ex: 36.447737","Age: 32 ex_fr_female$Type: Predicted Year: 1918 Ex: 33.223274","Age: 32 ex_fr_female$Type: Predicted Year: 1919 Ex: 35.888913","Age: 32 ex_fr_female$Type: Predicted Year: 1920 Ex: 37.384610","Age: 32 ex_fr_female$Type: Predicted Year: 1921 Ex: 37.391733","Age: 32 ex_fr_female$Type: Predicted Year: 1922 Ex: 37.042502","Age: 32 ex_fr_female$Type: Predicted Year: 1923 Ex: 37.855540","Age: 32 ex_fr_female$Type: Predicted Year: 1924 Ex: 37.535662","Age: 32 ex_fr_female$Type: Predicted Year: 1925 Ex: 37.418315","Age: 32 ex_fr_female$Type: Predicted Year: 1926 Ex: 37.478686","Age: 32 ex_fr_female$Type: Predicted Year: 1927 Ex: 38.016608","Age: 32 ex_fr_female$Type: Predicted Year: 1928 Ex: 38.285344","Age: 32 ex_fr_female$Type: Predicted Year: 1929 Ex: 37.250977","Age: 32 ex_fr_female$Type: Predicted Year: 1930 Ex: 38.695054","Age: 32 ex_fr_female$Type: Predicted Year: 1931 Ex: 38.182530","Age: 32 ex_fr_female$Type: Predicted Year: 1932 Ex: 38.545037","Age: 32 ex_fr_female$Type: Predicted Year: 1933 Ex: 38.540544","Age: 32 ex_fr_female$Type: Predicted Year: 1934 Ex: 39.205260","Age: 32 ex_fr_female$Type: Predicted Year: 1935 Ex: 38.659454","Age: 32 ex_fr_female$Type: Predicted Year: 1936 Ex: 39.110404","Age: 32 ex_fr_female$Type: Predicted Year: 1937 Ex: 39.477372","Age: 32 ex_fr_female$Type: Predicted Year: 1938 Ex: 39.235484","Age: 32 ex_fr_female$Type: Predicted Year: 1939 Ex: 39.365624","Age: 32 ex_fr_female$Type: Predicted Year: 1940 Ex: 37.672946","Age: 32 ex_fr_female$Type: Predicted Year: 1941 Ex: 38.884911","Age: 32 ex_fr_female$Type: Predicted Year: 1942 Ex: 39.279830","Age: 32 ex_fr_female$Type: Predicted Year: 1943 Ex: 38.879748","Age: 32 ex_fr_female$Type: Predicted Year: 1944 Ex: 36.506971","Age: 32 ex_fr_female$Type: Predicted Year: 1945 Ex: 39.663093","Age: 32 ex_fr_female$Type: Predicted Year: 1946 Ex: 41.957793","Age: 32 ex_fr_female$Type: Predicted Year: 1947 Ex: 42.407745","Age: 32 ex_fr_female$Type: Predicted Year: 1948 Ex: 43.003928","Age: 32 ex_fr_female$Type: Predicted Year: 1949 Ex: 41.945277","Age: 32 ex_fr_female$Type: Predicted Year: 1950 Ex: 42.741267","Age: 32 ex_fr_female$Type: Predicted Year: 1951 Ex: 42.292864","Age: 32 ex_fr_female$Type: Predicted Year: 1952 Ex: 43.160774","Age: 32 ex_fr_female$Type: Predicted Year: 1953 Ex: 42.667349","Age: 32 ex_fr_female$Type: Predicted Year: 1954 Ex: 43.579373","Age: 32 ex_fr_female$Type: Predicted Year: 1955 Ex: 43.670145","Age: 32 ex_fr_female$Type: Predicted Year: 1956 Ex: 43.524075","Age: 32 ex_fr_female$Type: Predicted Year: 1957 Ex: 43.990227","Age: 32 ex_fr_female$Type: Predicted Year: 1958 Ex: 44.743382","Age: 32 ex_fr_female$Type: Predicted Year: 1959 Ex: 44.782616","Age: 32 ex_fr_female$Type: Predicted Year: 1960 Ex: 44.765787","Age: 32 ex_fr_female$Type: Predicted Year: 1961 Ex: 45.420803","Age: 32 ex_fr_female$Type: Predicted Year: 1962 Ex: 44.906768","Age: 32 ex_fr_female$Type: Predicted Year: 1963 Ex: 44.848594","Age: 32 ex_fr_female$Type: Predicted Year: 1964 Ex: 45.651757","Age: 32 ex_fr_female$Type: Predicted Year: 1965 Ex: 45.441555","Age: 32 ex_fr_female$Type: Predicted Year: 1966 Ex: 45.856626","Age: 32 ex_fr_female$Type: Predicted Year: 1967 Ex: 45.850706","Age: 32 ex_fr_female$Type: Predicted Year: 1968 Ex: 45.850840","Age: 32 ex_fr_female$Type: Predicted Year: 1969 Ex: 45.645377","Age: 32 ex_fr_female$Type: Predicted Year: 1970 Ex: 46.287083","Age: 32 ex_fr_female$Type: Predicted Year: 1971 Ex: 46.305077","Age: 32 ex_fr_female$Type: Predicted Year: 1972 Ex: 46.548586","Age: 32 ex_fr_female$Type: Predicted Year: 1973 Ex: 46.605041","Age: 32 ex_fr_female$Type: Predicted Year: 1974 Ex: 46.919982","Age: 32 ex_fr_female$Type: Predicted Year: 1975 Ex: 46.960870","Age: 32 ex_fr_female$Type: Predicted Year: 1976 Ex: 47.208027","Age: 32 ex_fr_female$Type: Predicted Year: 1977 Ex: 47.808596","Age: 32 ex_fr_female$Type: Predicted Year: 1978 Ex: 47.817565","Age: 32 ex_fr_female$Type: Predicted Year: 1979 Ex: 48.105643","Age: 32 ex_fr_female$Type: Predicted Year: 1980 Ex: 48.233017","Age: 32 ex_fr_female$Type: Predicted Year: 1981 Ex: 48.275490","Age: 32 ex_fr_female$Type: Predicted Year: 1982 Ex: 48.632260","Age: 32 ex_fr_female$Type: Predicted Year: 1983 Ex: 48.536958","Age: 32 ex_fr_female$Type: Predicted Year: 1984 Ex: 49.005899","Age: 32 ex_fr_female$Type: Predicted Year: 1985 Ex: 49.055168","Age: 32 ex_fr_female$Type: Predicted Year: 1986 Ex: 49.284940","Age: 32 ex_fr_female$Type: Predicted Year: 1987 Ex: 49.786640","Age: 32 ex_fr_female$Type: Predicted Year: 1988 Ex: 49.991205","Age: 32 ex_fr_female$Type: Predicted Year: 1989 Ex: 50.148674","Age: 32 ex_fr_female$Type: Predicted Year: 1990 Ex: 50.399344","Age: 32 ex_fr_female$Type: Predicted Year: 1991 Ex: 50.627622","Age: 32 ex_fr_female$Type: Predicted Year: 1992 Ex: 50.845582","Age: 32 ex_fr_female$Type: Predicted Year: 1993 Ex: 50.824988","Age: 32 ex_fr_female$Type: Predicted Year: 1994 Ex: 51.194325","Age: 32 ex_fr_female$Type: Predicted Year: 1995 Ex: 51.163749","Age: 32 ex_fr_female$Type: Predicted Year: 1996 Ex: 51.240028","Age: 32 ex_fr_female$Type: Predicted Year: 1997 Ex: 51.459636","Age: 32 ex_fr_female$Type: Predicted Year: 1998 Ex: 51.557894","Age: 32 ex_fr_female$Type: Predicted Year: 1999 Ex: 51.623971","Age: 32 ex_fr_female$Type: Predicted Year: 2000 Ex: 51.881097","Age: 32 ex_fr_female$Type: Predicted Year: 2001 Ex: 52.033934","Age: 32 ex_fr_female$Type: Predicted Year: 2002 Ex: 52.082461","Age: 32 ex_fr_female$Type: Predicted Year: 2003 Ex: 51.945079","Age: 32 ex_fr_female$Type: Predicted Year: 2004 Ex: 52.831186","Age: 32 ex_fr_female$Type: Predicted Year: 2005 Ex: 52.758783","Age: 32 ex_fr_female$Type: Predicted Year: 2006 Ex: 53.104306","Age: 32 ex_fr_female$Type: Predicted Year: 2007 Ex: 53.276250","Age: 32 ex_fr_female$Type: Predicted Year: 2008 Ex: 53.234980","Age: 32 ex_fr_female$Type: Predicted Year: 2009 Ex: 53.341108","Age: 32 ex_fr_female$Type: Predicted Year: 2010 Ex: 53.544028","Age: 32 ex_fr_female$Type: Predicted Year: 2011 Ex: 53.863732","Age: 32 ex_fr_female$Type: Predicted Year: 2012 Ex: 53.709393","Age: 32 ex_fr_female$Type: Predicted Year: 2013 Ex: 53.909728","Age: 32 ex_fr_female$Type: Predicted Year: 2014 Ex: 54.275897","Age: 32 ex_fr_female$Type: Predicted Year: 2015 Ex: 54.004201","Age: 32 ex_fr_female$Type: Predicted Year: 2016 Ex: 54.185418","Age: 32 ex_fr_female$Type: Predicted Year: 2017 Ex: 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32.140000","Age: 33 ex_fr_female$Type: Observed Year: 1832 Ex: 28.680000","Age: 33 ex_fr_female$Type: Observed Year: 1833 Ex: 31.660000","Age: 33 ex_fr_female$Type: Observed Year: 1834 Ex: 30.870000","Age: 33 ex_fr_female$Type: Observed Year: 1835 Ex: 31.710000","Age: 33 ex_fr_female$Type: Observed Year: 1836 Ex: 32.650000","Age: 33 ex_fr_female$Type: Observed Year: 1837 Ex: 30.510000","Age: 33 ex_fr_female$Type: Observed Year: 1838 Ex: 31.840000","Age: 33 ex_fr_female$Type: Observed Year: 1839 Ex: 32.550000","Age: 33 ex_fr_female$Type: Observed Year: 1840 Ex: 31.830000","Age: 33 ex_fr_female$Type: Observed Year: 1841 Ex: 32.750000","Age: 33 ex_fr_female$Type: Observed Year: 1842 Ex: 32.030000","Age: 33 ex_fr_female$Type: Observed Year: 1843 Ex: 32.580000","Age: 33 ex_fr_female$Type: Observed Year: 1844 Ex: 32.770000","Age: 33 ex_fr_female$Type: Observed Year: 1845 Ex: 33.200000","Age: 33 ex_fr_female$Type: Observed Year: 1846 Ex: 32.620000","Age: 33 ex_fr_female$Type: Observed Year: 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34.010000","Age: 33 ex_fr_female$Type: Observed Year: 1895 Ex: 33.590000","Age: 33 ex_fr_female$Type: Observed Year: 1896 Ex: 34.630000","Age: 33 ex_fr_female$Type: Observed Year: 1897 Ex: 35.120000","Age: 33 ex_fr_female$Type: Observed Year: 1898 Ex: 34.260000","Age: 33 ex_fr_female$Type: Observed Year: 1899 Ex: 34.160000","Age: 33 ex_fr_female$Type: Observed Year: 1900 Ex: 33.290000","Age: 33 ex_fr_female$Type: Observed Year: 1901 Ex: 34.310000","Age: 33 ex_fr_female$Type: Observed Year: 1902 Ex: 34.660000","Age: 33 ex_fr_female$Type: Observed Year: 1903 Ex: 34.810000","Age: 33 ex_fr_female$Type: Observed Year: 1904 Ex: 34.840000","Age: 33 ex_fr_female$Type: Observed Year: 1905 Ex: 34.430000","Age: 33 ex_fr_female$Type: Observed Year: 1906 Ex: 34.450000","Age: 33 ex_fr_female$Type: Observed Year: 1907 Ex: 34.000000","Age: 33 ex_fr_female$Type: Observed Year: 1908 Ex: 34.840000","Age: 33 ex_fr_female$Type: Observed Year: 1909 Ex: 34.470000","Age: 33 ex_fr_female$Type: Observed Year: 1910 Ex: 35.420000","Age: 33 ex_fr_female$Type: Observed Year: 1911 Ex: 34.860000","Age: 33 ex_fr_female$Type: Observed Year: 1912 Ex: 35.630000","Age: 33 ex_fr_female$Type: Observed Year: 1913 Ex: 35.700000","Age: 33 ex_fr_female$Type: Observed Year: 1914 Ex: 34.980000","Age: 33 ex_fr_female$Type: Observed Year: 1915 Ex: 34.990000","Age: 33 ex_fr_female$Type: Observed Year: 1916 Ex: 35.430000","Age: 33 ex_fr_female$Type: Observed Year: 1917 Ex: 35.410000","Age: 33 ex_fr_female$Type: Observed Year: 1918 Ex: 32.460000","Age: 33 ex_fr_female$Type: Observed Year: 1919 Ex: 34.940000","Age: 33 ex_fr_female$Type: Observed Year: 1920 Ex: 36.390000","Age: 33 ex_fr_female$Type: Observed Year: 1921 Ex: 36.360000","Age: 33 ex_fr_female$Type: Observed Year: 1922 Ex: 36.010000","Age: 33 ex_fr_female$Type: Observed Year: 1923 Ex: 36.800000","Age: 33 ex_fr_female$Type: Observed Year: 1924 Ex: 36.490000","Age: 33 ex_fr_female$Type: Observed Year: 1925 Ex: 36.370000","Age: 33 ex_fr_female$Type: Observed Year: 1926 Ex: 36.430000","Age: 33 ex_fr_female$Type: Observed Year: 1927 Ex: 36.960000","Age: 33 ex_fr_female$Type: Observed Year: 1928 Ex: 37.230000","Age: 33 ex_fr_female$Type: Observed Year: 1929 Ex: 36.190000","Age: 33 ex_fr_female$Type: Observed Year: 1930 Ex: 37.620000","Age: 33 ex_fr_female$Type: Observed Year: 1931 Ex: 37.110000","Age: 33 ex_fr_female$Type: Observed Year: 1932 Ex: 37.470000","Age: 33 ex_fr_female$Type: Observed Year: 1933 Ex: 37.460000","Age: 33 ex_fr_female$Type: Observed Year: 1934 Ex: 38.120000","Age: 33 ex_fr_female$Type: Observed Year: 1935 Ex: 37.580000","Age: 33 ex_fr_female$Type: Observed Year: 1936 Ex: 38.010000","Age: 33 ex_fr_female$Type: Observed Year: 1937 Ex: 38.380000","Age: 33 ex_fr_female$Type: Observed Year: 1938 Ex: 38.140000","Age: 33 ex_fr_female$Type: Observed Year: 1939 Ex: 38.260000","Age: 33 ex_fr_female$Type: Observed Year: 1940 Ex: 36.590000","Age: 33 ex_fr_female$Type: Observed Year: 1941 Ex: 37.790000","Age: 33 ex_fr_female$Type: Observed Year: 1942 Ex: 38.190000","Age: 33 ex_fr_female$Type: Observed Year: 1943 Ex: 37.870000","Age: 33 ex_fr_female$Type: Observed Year: 1944 Ex: 35.590000","Age: 33 ex_fr_female$Type: Observed Year: 1945 Ex: 38.600000","Age: 33 ex_fr_female$Type: Observed Year: 1946 Ex: 40.820000","Age: 33 ex_fr_female$Type: Observed Year: 1947 Ex: 41.260000","Age: 33 ex_fr_female$Type: Observed Year: 1948 Ex: 41.840000","Age: 33 ex_fr_female$Type: Observed Year: 1949 Ex: 40.790000","Age: 33 ex_fr_female$Type: Observed Year: 1950 Ex: 41.570000","Age: 33 ex_fr_female$Type: Observed Year: 1951 Ex: 41.120000","Age: 33 ex_fr_female$Type: Observed Year: 1952 Ex: 41.980000","Age: 33 ex_fr_female$Type: Observed Year: 1953 Ex: 41.480000","Age: 33 ex_fr_female$Type: Observed Year: 1954 Ex: 42.390000","Age: 33 ex_fr_female$Type: Observed Year: 1955 Ex: 42.470000","Age: 33 ex_fr_female$Type: Observed Year: 1956 Ex: 42.330000","Age: 33 ex_fr_female$Type: Observed Year: 1957 Ex: 42.790000","Age: 33 ex_fr_female$Type: Observed Year: 1958 Ex: 43.540000","Age: 33 ex_fr_female$Type: Observed Year: 1959 Ex: 43.570000","Age: 33 ex_fr_female$Type: Observed Year: 1960 Ex: 43.560000","Age: 33 ex_fr_female$Type: Observed Year: 1961 Ex: 44.220000","Age: 33 ex_fr_female$Type: Observed Year: 1962 Ex: 43.700000","Age: 33 ex_fr_female$Type: Observed Year: 1963 Ex: 43.640000","Age: 33 ex_fr_female$Type: Observed Year: 1964 Ex: 44.440000","Age: 33 ex_fr_female$Type: Observed Year: 1965 Ex: 44.230000","Age: 33 ex_fr_female$Type: Observed Year: 1966 Ex: 44.650000","Age: 33 ex_fr_female$Type: Observed Year: 1967 Ex: 44.640000","Age: 33 ex_fr_female$Type: Observed Year: 1968 Ex: 44.640000","Age: 33 ex_fr_female$Type: Observed Year: 1969 Ex: 44.430000","Age: 33 ex_fr_female$Type: Observed Year: 1970 Ex: 45.080000","Age: 33 ex_fr_female$Type: Observed Year: 1971 Ex: 45.090000","Age: 33 ex_fr_female$Type: Observed Year: 1972 Ex: 45.340000","Age: 33 ex_fr_female$Type: Observed Year: 1973 Ex: 45.390000","Age: 33 ex_fr_female$Type: Observed Year: 1974 Ex: 45.710000","Age: 33 ex_fr_female$Type: Observed Year: 1975 Ex: 45.750000","Age: 33 ex_fr_female$Type: Observed Year: 1976 Ex: 45.990000","Age: 33 ex_fr_female$Type: Observed Year: 1977 Ex: 46.590000","Age: 33 ex_fr_female$Type: Observed Year: 1978 Ex: 46.600000","Age: 33 ex_fr_female$Type: Observed Year: 1979 Ex: 46.880000","Age: 33 ex_fr_female$Type: Observed Year: 1980 Ex: 47.010000","Age: 33 ex_fr_female$Type: Observed Year: 1981 Ex: 47.060000","Age: 33 ex_fr_female$Type: Observed Year: 1982 Ex: 47.410000","Age: 33 ex_fr_female$Type: Observed Year: 1983 Ex: 47.320000","Age: 33 ex_fr_female$Type: Observed Year: 1984 Ex: 47.790000","Age: 33 ex_fr_female$Type: Observed Year: 1985 Ex: 47.840000","Age: 33 ex_fr_female$Type: Observed Year: 1986 Ex: 48.060000","Age: 33 ex_fr_female$Type: Observed Year: 1987 Ex: 48.570000","Age: 33 ex_fr_female$Type: Observed Year: 1988 Ex: 48.770000","Age: 33 ex_fr_female$Type: Observed Year: 1989 Ex: 48.930000","Age: 33 ex_fr_female$Type: Observed Year: 1990 Ex: 49.180000","Age: 33 ex_fr_female$Type: Observed Year: 1991 Ex: 49.410000","Age: 33 ex_fr_female$Type: Observed Year: 1992 Ex: 49.630000","Age: 33 ex_fr_female$Type: Observed Year: 1993 Ex: 49.610000","Age: 33 ex_fr_female$Type: Observed Year: 1994 Ex: 49.980000","Age: 33 ex_fr_female$Type: Observed Year: 1995 Ex: 49.950000","Age: 33 ex_fr_female$Type: Observed Year: 1996 Ex: 50.020000","Age: 33 ex_fr_female$Type: Observed Year: 1997 Ex: 50.240000","Age: 33 ex_fr_female$Type: Observed Year: 1998 Ex: 50.340000","Age: 33 ex_fr_female$Type: Observed Year: 1999 Ex: 50.400000","Age: 33 ex_fr_female$Type: Observed Year: 2000 Ex: 50.660000","Age: 33 ex_fr_female$Type: Observed Year: 2001 Ex: 50.810000","Age: 33 ex_fr_female$Type: Observed Year: 2002 Ex: 50.850000","Age: 33 ex_fr_female$Type: Observed Year: 2003 Ex: 50.720000","Age: 33 ex_fr_female$Type: Observed Year: 2004 Ex: 51.600000","Age: 33 ex_fr_female$Type: Observed Year: 2005 Ex: 51.530000","Age: 33 ex_fr_female$Type: Observed Year: 2006 Ex: 51.870000","Age: 33 ex_fr_female$Type: Observed Year: 2007 Ex: 52.040000","Age: 33 ex_fr_female$Type: Observed Year: 2008 Ex: 52.010000","Age: 33 ex_fr_female$Type: Observed Year: 2009 Ex: 52.110000","Age: 33 ex_fr_female$Type: Observed Year: 2010 Ex: 52.310000","Age: 33 ex_fr_female$Type: Observed Year: 2011 Ex: 52.630000","Age: 33 ex_fr_female$Type: Observed Year: 2012 Ex: 52.480000","Age: 33 ex_fr_female$Type: Observed Year: 2013 Ex: 52.680000","Age: 33 ex_fr_female$Type: Observed Year: 2014 Ex: 53.040000","Age: 33 ex_fr_female$Type: Observed Year: 2015 Ex: 52.770000","Age: 33 ex_fr_female$Type: Observed Year: 2016 Ex: 52.950000","Age: 33 ex_fr_female$Type: Observed Year: 2017 Ex: 52.910000"],"frame":"33","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[31.6870843355377,31.593364500676,31.4922490949411,31.6657085942671,31.5296577687374,32.6556462115941,32.6986047271824,32.9968870891641,33.0378728701321,32.4423503137542,31.8763319015615,32.125430616035,31.8724475720777,31.9118200056323,31.9172757041173,32.4083862833488,28.9516679206369,31.9324936677627,31.1401521810613,31.9789645428745,32.9188652335785,30.7752881790018,32.1048796689544,32.8169253237446,32.0921711891583,33.0142618271422,32.297548428415,32.8487089623962,33.0289382474972,33.4621636722473,32.8778214701582,31.6324351699021,31.9597263557668,29.7499442658731,33.1028680859291,32.935402554907,32.852006594062,32.7897576165761,29.5553460255668,31.3864854564916,32.9022182169775,32.3801620601577,31.8027583397439,31.8595154395601,33.3947516430541,33.2712885010879,33.5690503463673,33.3448578919764,32.9692012148724,32.5060401058062,32.4809081304879,33.1485510527414,32.809654413467,32.9270343360244,30.9159521334566,28.4984442138651,33.8173815472484,33.2813206387976,33.930294440891,32.9985151769719,33.5477946719399,33.9799706910829,33.5746372702522,33.3202119187746,33.5092235436472,33.8874496254606,33.714409805677,33.6644990036805,33.6857570829774,33.7972035823534,33.6618863992847,33.6330635435762,34.0946360685274,34.5127829256916,33.5190751363932,33.2950792180303,33.5135798913521,33.6091128718341,34.2636716912162,33.841541224455,34.8846944416978,35.3725607485496,34.5208687517065,34.4122036718746,33.5509547670495,34.5615766320162,34.9148210000595,35.0674501617314,35.0903065194259,34.6817658033437,34.6999746556531,34.2518206787701,35.0983136699485,34.7213302047106,35.6781400827962,35.1164328102141,35.8849457170696,35.9558852148986,35.2375124377127,35.2401163573016,35.6868101365683,35.6658810232502,32.7125177185873,35.1867201459859,36.6385096776984,36.6152339693323,36.2591080724411,37.0532994115521,36.7428995133581,36.6248958012486,36.6848608096192,37.2099402372874,37.4838595068496,36.4388863648865,37.8749933434189,37.3657346131939,37.720065855081,37.7151696467615,38.3697189376953,37.8350085756564,38.2667062123092,38.6347681800905,38.3922917472674,38.5096934625308,36.8424682291613,38.0376019735761,38.4438266955749,38.116511260172,35.8335890374902,38.8495608863904,41.0736215227769,41.5155864570128,42.0966872034846,41.0436191417381,41.8232950485092,41.3769521400808,42.2350682536699,41.7331816359642,42.640589329791,42.728896345609,42.5817654534199,43.0468008122818,43.7965063303485,43.8304672986997,43.8167221981621,44.4742910539056,43.9583101393335,43.8974038331756,44.6996429959203,44.4851691688365,44.9042749973248,44.8988028017185,44.8930361725318,44.6842192180789,45.3324348313801,45.3481543070922,45.5909704262516,45.6428626030446,45.9654959033751,46.0027038140037,46.2491481835966,46.8450373305711,46.8563810414767,47.1404078963785,47.2702632130714,47.3127689489141,47.6683724163525,47.5720374715294,48.0437481094984,48.0911118396924,48.318613174637,48.821152438214,49.0238796196506,49.1804593399387,49.4312899615877,49.6627235325626,49.8838588286348,49.8637533970013,50.2288091341596,50.2027747666311,50.2750504025077,50.4917507633336,50.5885376497425,50.6541430404891,50.9103927271057,51.0617703029032,51.107226319665,50.9713222891402,51.8552636905668,51.7823049779806,52.1274567603878,52.2952527305387,52.2581888425689,52.3611918134781,52.563127020392,52.8829461409955,52.7301482255953,52.9278899199166,53.2941834299446,53.0223951316042,53.2052854404448,53.1566047114937],"text":["Age: 33 ex_fr_female$Type: Predicted Year: 1816 Ex: 31.687084","Age: 33 ex_fr_female$Type: Predicted Year: 1817 Ex: 31.593365","Age: 33 ex_fr_female$Type: Predicted Year: 1818 Ex: 31.492249","Age: 33 ex_fr_female$Type: Predicted Year: 1819 Ex: 31.665709","Age: 33 ex_fr_female$Type: Predicted Year: 1820 Ex: 31.529658","Age: 33 ex_fr_female$Type: Predicted Year: 1821 Ex: 32.655646","Age: 33 ex_fr_female$Type: Predicted Year: 1822 Ex: 32.698605","Age: 33 ex_fr_female$Type: Predicted Year: 1823 Ex: 32.996887","Age: 33 ex_fr_female$Type: Predicted Year: 1824 Ex: 33.037873","Age: 33 ex_fr_female$Type: Predicted Year: 1825 Ex: 32.442350","Age: 33 ex_fr_female$Type: Predicted Year: 1826 Ex: 31.876332","Age: 33 ex_fr_female$Type: Predicted Year: 1827 Ex: 32.125431","Age: 33 ex_fr_female$Type: Predicted Year: 1828 Ex: 31.872448","Age: 33 ex_fr_female$Type: Predicted Year: 1829 Ex: 31.911820","Age: 33 ex_fr_female$Type: Predicted Year: 1830 Ex: 31.917276","Age: 33 ex_fr_female$Type: Predicted Year: 1831 Ex: 32.408386","Age: 33 ex_fr_female$Type: Predicted Year: 1832 Ex: 28.951668","Age: 33 ex_fr_female$Type: Predicted Year: 1833 Ex: 31.932494","Age: 33 ex_fr_female$Type: Predicted Year: 1834 Ex: 31.140152","Age: 33 ex_fr_female$Type: Predicted Year: 1835 Ex: 31.978965","Age: 33 ex_fr_female$Type: Predicted Year: 1836 Ex: 32.918865","Age: 33 ex_fr_female$Type: Predicted Year: 1837 Ex: 30.775288","Age: 33 ex_fr_female$Type: Predicted Year: 1838 Ex: 32.104880","Age: 33 ex_fr_female$Type: Predicted Year: 1839 Ex: 32.816925","Age: 33 ex_fr_female$Type: Predicted Year: 1840 Ex: 32.092171","Age: 33 ex_fr_female$Type: Predicted Year: 1841 Ex: 33.014262","Age: 33 ex_fr_female$Type: Predicted Year: 1842 Ex: 32.297548","Age: 33 ex_fr_female$Type: Predicted Year: 1843 Ex: 32.848709","Age: 33 ex_fr_female$Type: Predicted Year: 1844 Ex: 33.028938","Age: 33 ex_fr_female$Type: Predicted Year: 1845 Ex: 33.462164","Age: 33 ex_fr_female$Type: Predicted Year: 1846 Ex: 32.877821","Age: 33 ex_fr_female$Type: Predicted Year: 1847 Ex: 31.632435","Age: 33 ex_fr_female$Type: Predicted Year: 1848 Ex: 31.959726","Age: 33 ex_fr_female$Type: Predicted Year: 1849 Ex: 29.749944","Age: 33 ex_fr_female$Type: Predicted Year: 1850 Ex: 33.102868","Age: 33 ex_fr_female$Type: Predicted Year: 1851 Ex: 32.935403","Age: 33 ex_fr_female$Type: Predicted Year: 1852 Ex: 32.852007","Age: 33 ex_fr_female$Type: Predicted Year: 1853 Ex: 32.789758","Age: 33 ex_fr_female$Type: Predicted Year: 1854 Ex: 29.555346","Age: 33 ex_fr_female$Type: Predicted Year: 1855 Ex: 31.386485","Age: 33 ex_fr_female$Type: Predicted Year: 1856 Ex: 32.902218","Age: 33 ex_fr_female$Type: Predicted Year: 1857 Ex: 32.380162","Age: 33 ex_fr_female$Type: Predicted Year: 1858 Ex: 31.802758","Age: 33 ex_fr_female$Type: Predicted Year: 1859 Ex: 31.859515","Age: 33 ex_fr_female$Type: Predicted Year: 1860 Ex: 33.394752","Age: 33 ex_fr_female$Type: Predicted Year: 1861 Ex: 33.271289","Age: 33 ex_fr_female$Type: Predicted Year: 1862 Ex: 33.569050","Age: 33 ex_fr_female$Type: Predicted Year: 1863 Ex: 33.344858","Age: 33 ex_fr_female$Type: Predicted Year: 1864 Ex: 32.969201","Age: 33 ex_fr_female$Type: Predicted Year: 1865 Ex: 32.506040","Age: 33 ex_fr_female$Type: Predicted Year: 1866 Ex: 32.480908","Age: 33 ex_fr_female$Type: Predicted Year: 1867 Ex: 33.148551","Age: 33 ex_fr_female$Type: Predicted Year: 1868 Ex: 32.809654","Age: 33 ex_fr_female$Type: Predicted Year: 1869 Ex: 32.927034","Age: 33 ex_fr_female$Type: Predicted Year: 1870 Ex: 30.915952","Age: 33 ex_fr_female$Type: Predicted Year: 1871 Ex: 28.498444","Age: 33 ex_fr_female$Type: Predicted Year: 1872 Ex: 33.817382","Age: 33 ex_fr_female$Type: Predicted Year: 1873 Ex: 33.281321","Age: 33 ex_fr_female$Type: Predicted Year: 1874 Ex: 33.930294","Age: 33 ex_fr_female$Type: Predicted Year: 1875 Ex: 32.998515","Age: 33 ex_fr_female$Type: Predicted Year: 1876 Ex: 33.547795","Age: 33 ex_fr_female$Type: Predicted Year: 1877 Ex: 33.979971","Age: 33 ex_fr_female$Type: Predicted Year: 1878 Ex: 33.574637","Age: 33 ex_fr_female$Type: Predicted Year: 1879 Ex: 33.320212","Age: 33 ex_fr_female$Type: Predicted Year: 1880 Ex: 33.509224","Age: 33 ex_fr_female$Type: Predicted Year: 1881 Ex: 33.887450","Age: 33 ex_fr_female$Type: Predicted Year: 1882 Ex: 33.714410","Age: 33 ex_fr_female$Type: Predicted Year: 1883 Ex: 33.664499","Age: 33 ex_fr_female$Type: Predicted Year: 1884 Ex: 33.685757","Age: 33 ex_fr_female$Type: Predicted Year: 1885 Ex: 33.797204","Age: 33 ex_fr_female$Type: Predicted Year: 1886 Ex: 33.661886","Age: 33 ex_fr_female$Type: Predicted Year: 1887 Ex: 33.633064","Age: 33 ex_fr_female$Type: Predicted Year: 1888 Ex: 34.094636","Age: 33 ex_fr_female$Type: Predicted Year: 1889 Ex: 34.512783","Age: 33 ex_fr_female$Type: Predicted Year: 1890 Ex: 33.519075","Age: 33 ex_fr_female$Type: Predicted Year: 1891 Ex: 33.295079","Age: 33 ex_fr_female$Type: Predicted Year: 1892 Ex: 33.513580","Age: 33 ex_fr_female$Type: Predicted Year: 1893 Ex: 33.609113","Age: 33 ex_fr_female$Type: Predicted Year: 1894 Ex: 34.263672","Age: 33 ex_fr_female$Type: Predicted Year: 1895 Ex: 33.841541","Age: 33 ex_fr_female$Type: Predicted Year: 1896 Ex: 34.884694","Age: 33 ex_fr_female$Type: Predicted Year: 1897 Ex: 35.372561","Age: 33 ex_fr_female$Type: Predicted Year: 1898 Ex: 34.520869","Age: 33 ex_fr_female$Type: Predicted Year: 1899 Ex: 34.412204","Age: 33 ex_fr_female$Type: Predicted Year: 1900 Ex: 33.550955","Age: 33 ex_fr_female$Type: Predicted Year: 1901 Ex: 34.561577","Age: 33 ex_fr_female$Type: Predicted Year: 1902 Ex: 34.914821","Age: 33 ex_fr_female$Type: Predicted Year: 1903 Ex: 35.067450","Age: 33 ex_fr_female$Type: Predicted Year: 1904 Ex: 35.090307","Age: 33 ex_fr_female$Type: Predicted Year: 1905 Ex: 34.681766","Age: 33 ex_fr_female$Type: Predicted Year: 1906 Ex: 34.699975","Age: 33 ex_fr_female$Type: Predicted Year: 1907 Ex: 34.251821","Age: 33 ex_fr_female$Type: Predicted Year: 1908 Ex: 35.098314","Age: 33 ex_fr_female$Type: Predicted Year: 1909 Ex: 34.721330","Age: 33 ex_fr_female$Type: Predicted Year: 1910 Ex: 35.678140","Age: 33 ex_fr_female$Type: Predicted Year: 1911 Ex: 35.116433","Age: 33 ex_fr_female$Type: Predicted Year: 1912 Ex: 35.884946","Age: 33 ex_fr_female$Type: Predicted Year: 1913 Ex: 35.955885","Age: 33 ex_fr_female$Type: Predicted Year: 1914 Ex: 35.237512","Age: 33 ex_fr_female$Type: Predicted Year: 1915 Ex: 35.240116","Age: 33 ex_fr_female$Type: Predicted Year: 1916 Ex: 35.686810","Age: 33 ex_fr_female$Type: Predicted Year: 1917 Ex: 35.665881","Age: 33 ex_fr_female$Type: Predicted Year: 1918 Ex: 32.712518","Age: 33 ex_fr_female$Type: Predicted Year: 1919 Ex: 35.186720","Age: 33 ex_fr_female$Type: Predicted Year: 1920 Ex: 36.638510","Age: 33 ex_fr_female$Type: Predicted Year: 1921 Ex: 36.615234","Age: 33 ex_fr_female$Type: Predicted Year: 1922 Ex: 36.259108","Age: 33 ex_fr_female$Type: Predicted Year: 1923 Ex: 37.053299","Age: 33 ex_fr_female$Type: Predicted Year: 1924 Ex: 36.742900","Age: 33 ex_fr_female$Type: Predicted Year: 1925 Ex: 36.624896","Age: 33 ex_fr_female$Type: Predicted Year: 1926 Ex: 36.684861","Age: 33 ex_fr_female$Type: Predicted Year: 1927 Ex: 37.209940","Age: 33 ex_fr_female$Type: Predicted Year: 1928 Ex: 37.483860","Age: 33 ex_fr_female$Type: Predicted Year: 1929 Ex: 36.438886","Age: 33 ex_fr_female$Type: Predicted Year: 1930 Ex: 37.874993","Age: 33 ex_fr_female$Type: Predicted Year: 1931 Ex: 37.365735","Age: 33 ex_fr_female$Type: Predicted Year: 1932 Ex: 37.720066","Age: 33 ex_fr_female$Type: Predicted Year: 1933 Ex: 37.715170","Age: 33 ex_fr_female$Type: Predicted Year: 1934 Ex: 38.369719","Age: 33 ex_fr_female$Type: Predicted Year: 1935 Ex: 37.835009","Age: 33 ex_fr_female$Type: Predicted Year: 1936 Ex: 38.266706","Age: 33 ex_fr_female$Type: Predicted Year: 1937 Ex: 38.634768","Age: 33 ex_fr_female$Type: Predicted Year: 1938 Ex: 38.392292","Age: 33 ex_fr_female$Type: Predicted Year: 1939 Ex: 38.509693","Age: 33 ex_fr_female$Type: Predicted Year: 1940 Ex: 36.842468","Age: 33 ex_fr_female$Type: Predicted Year: 1941 Ex: 38.037602","Age: 33 ex_fr_female$Type: Predicted Year: 1942 Ex: 38.443827","Age: 33 ex_fr_female$Type: Predicted Year: 1943 Ex: 38.116511","Age: 33 ex_fr_female$Type: Predicted Year: 1944 Ex: 35.833589","Age: 33 ex_fr_female$Type: Predicted Year: 1945 Ex: 38.849561","Age: 33 ex_fr_female$Type: Predicted Year: 1946 Ex: 41.073622","Age: 33 ex_fr_female$Type: Predicted Year: 1947 Ex: 41.515586","Age: 33 ex_fr_female$Type: Predicted Year: 1948 Ex: 42.096687","Age: 33 ex_fr_female$Type: Predicted Year: 1949 Ex: 41.043619","Age: 33 ex_fr_female$Type: Predicted Year: 1950 Ex: 41.823295","Age: 33 ex_fr_female$Type: Predicted Year: 1951 Ex: 41.376952","Age: 33 ex_fr_female$Type: Predicted Year: 1952 Ex: 42.235068","Age: 33 ex_fr_female$Type: Predicted Year: 1953 Ex: 41.733182","Age: 33 ex_fr_female$Type: Predicted Year: 1954 Ex: 42.640589","Age: 33 ex_fr_female$Type: Predicted Year: 1955 Ex: 42.728896","Age: 33 ex_fr_female$Type: Predicted Year: 1956 Ex: 42.581765","Age: 33 ex_fr_female$Type: Predicted Year: 1957 Ex: 43.046801","Age: 33 ex_fr_female$Type: Predicted Year: 1958 Ex: 43.796506","Age: 33 ex_fr_female$Type: Predicted Year: 1959 Ex: 43.830467","Age: 33 ex_fr_female$Type: Predicted Year: 1960 Ex: 43.816722","Age: 33 ex_fr_female$Type: Predicted Year: 1961 Ex: 44.474291","Age: 33 ex_fr_female$Type: Predicted Year: 1962 Ex: 43.958310","Age: 33 ex_fr_female$Type: Predicted Year: 1963 Ex: 43.897404","Age: 33 ex_fr_female$Type: Predicted Year: 1964 Ex: 44.699643","Age: 33 ex_fr_female$Type: Predicted Year: 1965 Ex: 44.485169","Age: 33 ex_fr_female$Type: Predicted Year: 1966 Ex: 44.904275","Age: 33 ex_fr_female$Type: Predicted Year: 1967 Ex: 44.898803","Age: 33 ex_fr_female$Type: Predicted Year: 1968 Ex: 44.893036","Age: 33 ex_fr_female$Type: Predicted Year: 1969 Ex: 44.684219","Age: 33 ex_fr_female$Type: Predicted Year: 1970 Ex: 45.332435","Age: 33 ex_fr_female$Type: Predicted Year: 1971 Ex: 45.348154","Age: 33 ex_fr_female$Type: Predicted Year: 1972 Ex: 45.590970","Age: 33 ex_fr_female$Type: Predicted Year: 1973 Ex: 45.642863","Age: 33 ex_fr_female$Type: Predicted Year: 1974 Ex: 45.965496","Age: 33 ex_fr_female$Type: Predicted Year: 1975 Ex: 46.002704","Age: 33 ex_fr_female$Type: Predicted Year: 1976 Ex: 46.249148","Age: 33 ex_fr_female$Type: Predicted Year: 1977 Ex: 46.845037","Age: 33 ex_fr_female$Type: Predicted Year: 1978 Ex: 46.856381","Age: 33 ex_fr_female$Type: Predicted Year: 1979 Ex: 47.140408","Age: 33 ex_fr_female$Type: Predicted Year: 1980 Ex: 47.270263","Age: 33 ex_fr_female$Type: Predicted Year: 1981 Ex: 47.312769","Age: 33 ex_fr_female$Type: Predicted Year: 1982 Ex: 47.668372","Age: 33 ex_fr_female$Type: Predicted Year: 1983 Ex: 47.572037","Age: 33 ex_fr_female$Type: Predicted Year: 1984 Ex: 48.043748","Age: 33 ex_fr_female$Type: Predicted Year: 1985 Ex: 48.091112","Age: 33 ex_fr_female$Type: Predicted Year: 1986 Ex: 48.318613","Age: 33 ex_fr_female$Type: Predicted Year: 1987 Ex: 48.821152","Age: 33 ex_fr_female$Type: Predicted Year: 1988 Ex: 49.023880","Age: 33 ex_fr_female$Type: Predicted Year: 1989 Ex: 49.180459","Age: 33 ex_fr_female$Type: Predicted Year: 1990 Ex: 49.431290","Age: 33 ex_fr_female$Type: Predicted Year: 1991 Ex: 49.662724","Age: 33 ex_fr_female$Type: Predicted Year: 1992 Ex: 49.883859","Age: 33 ex_fr_female$Type: Predicted Year: 1993 Ex: 49.863753","Age: 33 ex_fr_female$Type: Predicted Year: 1994 Ex: 50.228809","Age: 33 ex_fr_female$Type: Predicted Year: 1995 Ex: 50.202775","Age: 33 ex_fr_female$Type: Predicted Year: 1996 Ex: 50.275050","Age: 33 ex_fr_female$Type: Predicted Year: 1997 Ex: 50.491751","Age: 33 ex_fr_female$Type: Predicted Year: 1998 Ex: 50.588538","Age: 33 ex_fr_female$Type: Predicted Year: 1999 Ex: 50.654143","Age: 33 ex_fr_female$Type: Predicted Year: 2000 Ex: 50.910393","Age: 33 ex_fr_female$Type: Predicted Year: 2001 Ex: 51.061770","Age: 33 ex_fr_female$Type: Predicted Year: 2002 Ex: 51.107226","Age: 33 ex_fr_female$Type: Predicted Year: 2003 Ex: 50.971322","Age: 33 ex_fr_female$Type: Predicted Year: 2004 Ex: 51.855264","Age: 33 ex_fr_female$Type: Predicted Year: 2005 Ex: 51.782305","Age: 33 ex_fr_female$Type: Predicted Year: 2006 Ex: 52.127457","Age: 33 ex_fr_female$Type: Predicted Year: 2007 Ex: 52.295253","Age: 33 ex_fr_female$Type: Predicted Year: 2008 Ex: 52.258189","Age: 33 ex_fr_female$Type: Predicted Year: 2009 Ex: 52.361192","Age: 33 ex_fr_female$Type: Predicted Year: 2010 Ex: 52.563127","Age: 33 ex_fr_female$Type: Predicted Year: 2011 Ex: 52.882946","Age: 33 ex_fr_female$Type: Predicted Year: 2012 Ex: 52.730148","Age: 33 ex_fr_female$Type: Predicted Year: 2013 Ex: 52.927890","Age: 33 ex_fr_female$Type: Predicted Year: 2014 Ex: 53.294183","Age: 33 ex_fr_female$Type: Predicted Year: 2015 Ex: 53.022395","Age: 33 ex_fr_female$Type: Predicted Year: 2016 Ex: 53.205285","Age: 33 ex_fr_female$Type: Predicted Year: 2017 Ex: 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31.480000","Age: 34 ex_fr_female$Type: Observed Year: 1832 Ex: 28.060000","Age: 34 ex_fr_female$Type: Observed Year: 1833 Ex: 31.000000","Age: 34 ex_fr_female$Type: Observed Year: 1834 Ex: 30.230000","Age: 34 ex_fr_female$Type: Observed Year: 1835 Ex: 31.050000","Age: 34 ex_fr_female$Type: Observed Year: 1836 Ex: 31.970000","Age: 34 ex_fr_female$Type: Observed Year: 1837 Ex: 29.840000","Age: 34 ex_fr_female$Type: Observed Year: 1838 Ex: 31.170000","Age: 34 ex_fr_female$Type: Observed Year: 1839 Ex: 31.880000","Age: 34 ex_fr_female$Type: Observed Year: 1840 Ex: 31.160000","Age: 34 ex_fr_female$Type: Observed Year: 1841 Ex: 32.080000","Age: 34 ex_fr_female$Type: Observed Year: 1842 Ex: 31.370000","Age: 34 ex_fr_female$Type: Observed Year: 1843 Ex: 31.910000","Age: 34 ex_fr_female$Type: Observed Year: 1844 Ex: 32.090000","Age: 34 ex_fr_female$Type: Observed Year: 1845 Ex: 32.510000","Age: 34 ex_fr_female$Type: Observed Year: 1846 Ex: 31.950000","Age: 34 ex_fr_female$Type: Observed Year: 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33.280000","Age: 34 ex_fr_female$Type: Observed Year: 1895 Ex: 32.860000","Age: 34 ex_fr_female$Type: Observed Year: 1896 Ex: 33.900000","Age: 34 ex_fr_female$Type: Observed Year: 1897 Ex: 34.380000","Age: 34 ex_fr_female$Type: Observed Year: 1898 Ex: 33.530000","Age: 34 ex_fr_female$Type: Observed Year: 1899 Ex: 33.430000","Age: 34 ex_fr_female$Type: Observed Year: 1900 Ex: 32.580000","Age: 34 ex_fr_female$Type: Observed Year: 1901 Ex: 33.560000","Age: 34 ex_fr_female$Type: Observed Year: 1902 Ex: 33.920000","Age: 34 ex_fr_female$Type: Observed Year: 1903 Ex: 34.070000","Age: 34 ex_fr_female$Type: Observed Year: 1904 Ex: 34.100000","Age: 34 ex_fr_female$Type: Observed Year: 1905 Ex: 33.690000","Age: 34 ex_fr_female$Type: Observed Year: 1906 Ex: 33.710000","Age: 34 ex_fr_female$Type: Observed Year: 1907 Ex: 33.260000","Age: 34 ex_fr_female$Type: Observed Year: 1908 Ex: 34.090000","Age: 34 ex_fr_female$Type: Observed Year: 1909 Ex: 33.710000","Age: 34 ex_fr_female$Type: Observed Year: 1910 Ex: 34.670000","Age: 34 ex_fr_female$Type: Observed Year: 1911 Ex: 34.100000","Age: 34 ex_fr_female$Type: Observed Year: 1912 Ex: 34.860000","Age: 34 ex_fr_female$Type: Observed Year: 1913 Ex: 34.920000","Age: 34 ex_fr_female$Type: Observed Year: 1914 Ex: 34.210000","Age: 34 ex_fr_female$Type: Observed Year: 1915 Ex: 34.210000","Age: 34 ex_fr_female$Type: Observed Year: 1916 Ex: 34.660000","Age: 34 ex_fr_female$Type: Observed Year: 1917 Ex: 34.630000","Age: 34 ex_fr_female$Type: Observed Year: 1918 Ex: 31.940000","Age: 34 ex_fr_female$Type: Observed Year: 1919 Ex: 34.220000","Age: 34 ex_fr_female$Type: Observed Year: 1920 Ex: 35.620000","Age: 34 ex_fr_female$Type: Observed Year: 1921 Ex: 35.580000","Age: 34 ex_fr_female$Type: Observed Year: 1922 Ex: 35.220000","Age: 34 ex_fr_female$Type: Observed Year: 1923 Ex: 36.000000","Age: 34 ex_fr_female$Type: Observed Year: 1924 Ex: 35.700000","Age: 34 ex_fr_female$Type: Observed Year: 1925 Ex: 35.580000","Age: 34 ex_fr_female$Type: Observed Year: 1926 Ex: 35.630000","Age: 34 ex_fr_female$Type: Observed Year: 1927 Ex: 36.170000","Age: 34 ex_fr_female$Type: Observed Year: 1928 Ex: 36.420000","Age: 34 ex_fr_female$Type: Observed Year: 1929 Ex: 35.380000","Age: 34 ex_fr_female$Type: Observed Year: 1930 Ex: 36.810000","Age: 34 ex_fr_female$Type: Observed Year: 1931 Ex: 36.290000","Age: 34 ex_fr_female$Type: Observed Year: 1932 Ex: 36.650000","Age: 34 ex_fr_female$Type: Observed Year: 1933 Ex: 36.630000","Age: 34 ex_fr_female$Type: Observed Year: 1934 Ex: 37.280000","Age: 34 ex_fr_female$Type: Observed Year: 1935 Ex: 36.750000","Age: 34 ex_fr_female$Type: Observed Year: 1936 Ex: 37.170000","Age: 34 ex_fr_female$Type: Observed Year: 1937 Ex: 37.540000","Age: 34 ex_fr_female$Type: Observed Year: 1938 Ex: 37.300000","Age: 34 ex_fr_female$Type: Observed Year: 1939 Ex: 37.400000","Age: 34 ex_fr_female$Type: Observed Year: 1940 Ex: 35.750000","Age: 34 ex_fr_female$Type: Observed Year: 1941 Ex: 36.940000","Age: 34 ex_fr_female$Type: Observed Year: 1942 Ex: 37.350000","Age: 34 ex_fr_female$Type: Observed Year: 1943 Ex: 37.090000","Age: 34 ex_fr_female$Type: Observed Year: 1944 Ex: 34.890000","Age: 34 ex_fr_female$Type: Observed Year: 1945 Ex: 37.780000","Age: 34 ex_fr_female$Type: Observed Year: 1946 Ex: 39.940000","Age: 34 ex_fr_female$Type: Observed Year: 1947 Ex: 40.370000","Age: 34 ex_fr_female$Type: Observed Year: 1948 Ex: 40.940000","Age: 34 ex_fr_female$Type: Observed Year: 1949 Ex: 39.880000","Age: 34 ex_fr_female$Type: Observed Year: 1950 Ex: 40.660000","Age: 34 ex_fr_female$Type: Observed Year: 1951 Ex: 40.210000","Age: 34 ex_fr_female$Type: Observed Year: 1952 Ex: 41.050000","Age: 34 ex_fr_female$Type: Observed Year: 1953 Ex: 40.550000","Age: 34 ex_fr_female$Type: Observed Year: 1954 Ex: 41.450000","Age: 34 ex_fr_female$Type: Observed Year: 1955 Ex: 41.540000","Age: 34 ex_fr_female$Type: Observed Year: 1956 Ex: 41.390000","Age: 34 ex_fr_female$Type: Observed Year: 1957 Ex: 41.850000","Age: 34 ex_fr_female$Type: Observed Year: 1958 Ex: 42.590000","Age: 34 ex_fr_female$Type: Observed Year: 1959 Ex: 42.630000","Age: 34 ex_fr_female$Type: Observed Year: 1960 Ex: 42.610000","Age: 34 ex_fr_female$Type: Observed Year: 1961 Ex: 43.270000","Age: 34 ex_fr_female$Type: Observed Year: 1962 Ex: 42.750000","Age: 34 ex_fr_female$Type: Observed Year: 1963 Ex: 42.690000","Age: 34 ex_fr_female$Type: Observed Year: 1964 Ex: 43.490000","Age: 34 ex_fr_female$Type: Observed Year: 1965 Ex: 43.280000","Age: 34 ex_fr_female$Type: Observed Year: 1966 Ex: 43.690000","Age: 34 ex_fr_female$Type: Observed Year: 1967 Ex: 43.690000","Age: 34 ex_fr_female$Type: Observed Year: 1968 Ex: 43.680000","Age: 34 ex_fr_female$Type: Observed Year: 1969 Ex: 43.470000","Age: 34 ex_fr_female$Type: Observed Year: 1970 Ex: 44.120000","Age: 34 ex_fr_female$Type: Observed Year: 1971 Ex: 44.140000","Age: 34 ex_fr_female$Type: Observed Year: 1972 Ex: 44.380000","Age: 34 ex_fr_female$Type: Observed Year: 1973 Ex: 44.430000","Age: 34 ex_fr_female$Type: Observed Year: 1974 Ex: 44.750000","Age: 34 ex_fr_female$Type: Observed Year: 1975 Ex: 44.790000","Age: 34 ex_fr_female$Type: Observed Year: 1976 Ex: 45.030000","Age: 34 ex_fr_female$Type: Observed Year: 1977 Ex: 45.630000","Age: 34 ex_fr_female$Type: Observed Year: 1978 Ex: 45.640000","Age: 34 ex_fr_female$Type: Observed Year: 1979 Ex: 45.920000","Age: 34 ex_fr_female$Type: Observed Year: 1980 Ex: 46.050000","Age: 34 ex_fr_female$Type: Observed Year: 1981 Ex: 46.100000","Age: 34 ex_fr_female$Type: Observed Year: 1982 Ex: 46.450000","Age: 34 ex_fr_female$Type: Observed Year: 1983 Ex: 46.360000","Age: 34 ex_fr_female$Type: Observed Year: 1984 Ex: 46.830000","Age: 34 ex_fr_female$Type: Observed Year: 1985 Ex: 46.870000","Age: 34 ex_fr_female$Type: Observed Year: 1986 Ex: 47.100000","Age: 34 ex_fr_female$Type: Observed Year: 1987 Ex: 47.600000","Age: 34 ex_fr_female$Type: Observed Year: 1988 Ex: 47.800000","Age: 34 ex_fr_female$Type: Observed Year: 1989 Ex: 47.960000","Age: 34 ex_fr_female$Type: Observed Year: 1990 Ex: 48.210000","Age: 34 ex_fr_female$Type: Observed Year: 1991 Ex: 48.440000","Age: 34 ex_fr_female$Type: Observed Year: 1992 Ex: 48.670000","Age: 34 ex_fr_female$Type: Observed Year: 1993 Ex: 48.650000","Age: 34 ex_fr_female$Type: Observed Year: 1994 Ex: 49.020000","Age: 34 ex_fr_female$Type: Observed Year: 1995 Ex: 48.990000","Age: 34 ex_fr_female$Type: Observed Year: 1996 Ex: 49.060000","Age: 34 ex_fr_female$Type: Observed Year: 1997 Ex: 49.270000","Age: 34 ex_fr_female$Type: Observed Year: 1998 Ex: 49.370000","Age: 34 ex_fr_female$Type: Observed Year: 1999 Ex: 49.430000","Age: 34 ex_fr_female$Type: Observed Year: 2000 Ex: 49.690000","Age: 34 ex_fr_female$Type: Observed Year: 2001 Ex: 49.840000","Age: 34 ex_fr_female$Type: Observed Year: 2002 Ex: 49.880000","Age: 34 ex_fr_female$Type: Observed Year: 2003 Ex: 49.750000","Age: 34 ex_fr_female$Type: Observed Year: 2004 Ex: 50.630000","Age: 34 ex_fr_female$Type: Observed Year: 2005 Ex: 50.550000","Age: 34 ex_fr_female$Type: Observed Year: 2006 Ex: 50.900000","Age: 34 ex_fr_female$Type: Observed Year: 2007 Ex: 51.060000","Age: 34 ex_fr_female$Type: Observed Year: 2008 Ex: 51.030000","Age: 34 ex_fr_female$Type: Observed Year: 2009 Ex: 51.130000","Age: 34 ex_fr_female$Type: Observed Year: 2010 Ex: 51.330000","Age: 34 ex_fr_female$Type: Observed Year: 2011 Ex: 51.650000","Age: 34 ex_fr_female$Type: Observed Year: 2012 Ex: 51.500000","Age: 34 ex_fr_female$Type: Observed Year: 2013 Ex: 51.690000","Age: 34 ex_fr_female$Type: Observed Year: 2014 Ex: 52.060000","Age: 34 ex_fr_female$Type: Observed Year: 2015 Ex: 51.790000","Age: 34 ex_fr_female$Type: Observed Year: 2016 Ex: 51.970000","Age: 34 ex_fr_female$Type: Observed Year: 2017 Ex: 51.930000"],"frame":"34","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[31.0005223690606,30.9112002122412,30.8328557931546,30.9965654009619,30.8346190825402,31.9570645070968,32.0186314601286,32.3110181131874,32.3501004427008,31.7666055408198,31.1995960322222,31.4554152058506,31.1896499224753,31.2433848310248,31.2558838392698,31.7448701131485,28.3343384431469,31.2738076951223,30.5029216706788,31.3179193561538,32.2361702564147,30.1119948541753,31.4388017146251,32.1511862578318,31.4294711097656,32.3476073599966,31.6363983463211,32.1761089204362,32.3502770908854,32.7787954568845,32.2146751401164,30.9755268015054,31.3045164792175,29.1540254984564,32.4140735587412,32.2512317983486,32.1722510630231,32.108733701404,28.9440746761296,30.7253052749315,32.2344150466218,31.7086170531132,31.1306413521386,31.1978180336438,32.707414890759,32.5903883253118,32.8760266018682,32.654062835585,32.2902778518809,31.8519643799169,31.8275306153278,32.4562375111059,32.1285007553458,32.2522791101207,30.2816075525807,27.9543001243965,33.1401166887459,32.6034973990024,33.2335391495519,32.3221792176974,32.8689194848882,33.3012384648023,32.8836683915797,32.6268658303078,32.8193094353239,33.2142348287527,33.040842991857,32.9870927075629,33.0052067999767,33.1012570860915,32.9750801420289,32.9419717071396,33.3925921812502,33.8024394686436,32.8112602638312,32.5882600778972,32.790399003237,32.8897380226086,33.536227285101,33.1201016588495,34.1539451360511,34.6340353851088,33.7855561481936,33.6842490002999,32.8367538526573,33.8180000445534,34.1739037177513,34.3294233592732,34.3548927285607,33.9432270260236,33.9688129591651,33.5208782936907,34.3462306933254,33.9634440339017,34.9224180138104,34.3536732223152,35.1199719946955,35.1803199421691,34.4591478173237,34.4701602701723,34.9102498313668,34.8814029758675,32.1941250076157,34.4663773323615,35.8789049070469,35.8318507526511,35.4761070983327,36.2490165952903,35.9562715805187,35.8288531044181,35.8869733678033,36.4194157550857,36.6763051340928,35.6305911751429,37.0623366684486,36.543856728327,36.8980300137281,36.8848847705609,37.5317686136173,37.0015198514066,37.4245224240159,37.7879958219146,37.5529158613597,37.6509714960289,36.0034577255212,37.1861689210931,37.6023830428796,37.3451601244675,35.1409086123139,38.0348523222232,40.1983740359596,40.6268895119508,41.1995580663929,40.1386023408727,40.9167913461351,40.4616550985728,41.3094228507529,40.8066420790706,41.7051137926797,41.793978959594,41.6449354791193,42.1072601955974,42.8510943187574,42.8811936203373,42.8678661052612,43.524890583347,43.0100563173753,42.943863911419,43.7505018291947,43.5353408595527,43.9482570006638,43.9476683608579,43.9356739533923,43.7248874071264,44.3759433948198,44.3925759685787,44.636986684378,44.6871242966254,45.0082535656255,45.0418529734223,45.2880514934594,45.8821281967821,45.8958007187248,46.1796023006613,46.3109710499758,46.3525767208237,46.7065942778636,46.6111234833256,47.0827499737125,47.1272948342285,47.3540120459687,47.8540219975221,48.0588293948959,48.2189320995573,48.4675125185053,48.6996094074151,48.9248644487949,48.9042482776879,49.2691057897038,49.2425528976969,49.3138900892995,49.519753984663,49.6201033716642,49.6817354070621,49.9401436353326,50.0926223926754,50.1335489212277,49.9990891522866,50.8840306929942,50.8069263935098,51.1506943443864,51.3170113059864,51.2809674569548,51.3850534498887,51.5849981266729,51.9033794744905,51.7520894955167,51.9472918285401,52.314777177263,52.041832013626,52.2263717718872,52.1755645019521],"text":["Age: 34 ex_fr_female$Type: Predicted Year: 1816 Ex: 31.000522","Age: 34 ex_fr_female$Type: Predicted Year: 1817 Ex: 30.911200","Age: 34 ex_fr_female$Type: Predicted Year: 1818 Ex: 30.832856","Age: 34 ex_fr_female$Type: Predicted Year: 1819 Ex: 30.996565","Age: 34 ex_fr_female$Type: Predicted Year: 1820 Ex: 30.834619","Age: 34 ex_fr_female$Type: Predicted Year: 1821 Ex: 31.957065","Age: 34 ex_fr_female$Type: Predicted Year: 1822 Ex: 32.018631","Age: 34 ex_fr_female$Type: Predicted Year: 1823 Ex: 32.311018","Age: 34 ex_fr_female$Type: Predicted Year: 1824 Ex: 32.350100","Age: 34 ex_fr_female$Type: Predicted Year: 1825 Ex: 31.766606","Age: 34 ex_fr_female$Type: Predicted Year: 1826 Ex: 31.199596","Age: 34 ex_fr_female$Type: Predicted Year: 1827 Ex: 31.455415","Age: 34 ex_fr_female$Type: Predicted Year: 1828 Ex: 31.189650","Age: 34 ex_fr_female$Type: Predicted Year: 1829 Ex: 31.243385","Age: 34 ex_fr_female$Type: Predicted Year: 1830 Ex: 31.255884","Age: 34 ex_fr_female$Type: Predicted Year: 1831 Ex: 31.744870","Age: 34 ex_fr_female$Type: Predicted Year: 1832 Ex: 28.334338","Age: 34 ex_fr_female$Type: Predicted Year: 1833 Ex: 31.273808","Age: 34 ex_fr_female$Type: Predicted Year: 1834 Ex: 30.502922","Age: 34 ex_fr_female$Type: Predicted Year: 1835 Ex: 31.317919","Age: 34 ex_fr_female$Type: Predicted Year: 1836 Ex: 32.236170","Age: 34 ex_fr_female$Type: Predicted Year: 1837 Ex: 30.111995","Age: 34 ex_fr_female$Type: Predicted Year: 1838 Ex: 31.438802","Age: 34 ex_fr_female$Type: Predicted Year: 1839 Ex: 32.151186","Age: 34 ex_fr_female$Type: Predicted Year: 1840 Ex: 31.429471","Age: 34 ex_fr_female$Type: Predicted Year: 1841 Ex: 32.347607","Age: 34 ex_fr_female$Type: Predicted Year: 1842 Ex: 31.636398","Age: 34 ex_fr_female$Type: Predicted Year: 1843 Ex: 32.176109","Age: 34 ex_fr_female$Type: Predicted Year: 1844 Ex: 32.350277","Age: 34 ex_fr_female$Type: Predicted Year: 1845 Ex: 32.778795","Age: 34 ex_fr_female$Type: Predicted Year: 1846 Ex: 32.214675","Age: 34 ex_fr_female$Type: Predicted Year: 1847 Ex: 30.975527","Age: 34 ex_fr_female$Type: Predicted Year: 1848 Ex: 31.304516","Age: 34 ex_fr_female$Type: Predicted Year: 1849 Ex: 29.154025","Age: 34 ex_fr_female$Type: Predicted Year: 1850 Ex: 32.414074","Age: 34 ex_fr_female$Type: Predicted Year: 1851 Ex: 32.251232","Age: 34 ex_fr_female$Type: Predicted Year: 1852 Ex: 32.172251","Age: 34 ex_fr_female$Type: Predicted Year: 1853 Ex: 32.108734","Age: 34 ex_fr_female$Type: Predicted Year: 1854 Ex: 28.944075","Age: 34 ex_fr_female$Type: Predicted Year: 1855 Ex: 30.725305","Age: 34 ex_fr_female$Type: Predicted Year: 1856 Ex: 32.234415","Age: 34 ex_fr_female$Type: Predicted Year: 1857 Ex: 31.708617","Age: 34 ex_fr_female$Type: Predicted Year: 1858 Ex: 31.130641","Age: 34 ex_fr_female$Type: Predicted Year: 1859 Ex: 31.197818","Age: 34 ex_fr_female$Type: Predicted Year: 1860 Ex: 32.707415","Age: 34 ex_fr_female$Type: Predicted Year: 1861 Ex: 32.590388","Age: 34 ex_fr_female$Type: Predicted Year: 1862 Ex: 32.876027","Age: 34 ex_fr_female$Type: Predicted Year: 1863 Ex: 32.654063","Age: 34 ex_fr_female$Type: Predicted Year: 1864 Ex: 32.290278","Age: 34 ex_fr_female$Type: Predicted Year: 1865 Ex: 31.851964","Age: 34 ex_fr_female$Type: Predicted Year: 1866 Ex: 31.827531","Age: 34 ex_fr_female$Type: Predicted Year: 1867 Ex: 32.456238","Age: 34 ex_fr_female$Type: Predicted Year: 1868 Ex: 32.128501","Age: 34 ex_fr_female$Type: Predicted Year: 1869 Ex: 32.252279","Age: 34 ex_fr_female$Type: Predicted Year: 1870 Ex: 30.281608","Age: 34 ex_fr_female$Type: Predicted Year: 1871 Ex: 27.954300","Age: 34 ex_fr_female$Type: Predicted Year: 1872 Ex: 33.140117","Age: 34 ex_fr_female$Type: Predicted Year: 1873 Ex: 32.603497","Age: 34 ex_fr_female$Type: Predicted Year: 1874 Ex: 33.233539","Age: 34 ex_fr_female$Type: Predicted Year: 1875 Ex: 32.322179","Age: 34 ex_fr_female$Type: Predicted Year: 1876 Ex: 32.868919","Age: 34 ex_fr_female$Type: Predicted Year: 1877 Ex: 33.301238","Age: 34 ex_fr_female$Type: Predicted Year: 1878 Ex: 32.883668","Age: 34 ex_fr_female$Type: Predicted Year: 1879 Ex: 32.626866","Age: 34 ex_fr_female$Type: Predicted Year: 1880 Ex: 32.819309","Age: 34 ex_fr_female$Type: Predicted Year: 1881 Ex: 33.214235","Age: 34 ex_fr_female$Type: Predicted Year: 1882 Ex: 33.040843","Age: 34 ex_fr_female$Type: Predicted Year: 1883 Ex: 32.987093","Age: 34 ex_fr_female$Type: Predicted Year: 1884 Ex: 33.005207","Age: 34 ex_fr_female$Type: Predicted Year: 1885 Ex: 33.101257","Age: 34 ex_fr_female$Type: Predicted Year: 1886 Ex: 32.975080","Age: 34 ex_fr_female$Type: Predicted Year: 1887 Ex: 32.941972","Age: 34 ex_fr_female$Type: Predicted Year: 1888 Ex: 33.392592","Age: 34 ex_fr_female$Type: Predicted Year: 1889 Ex: 33.802439","Age: 34 ex_fr_female$Type: Predicted Year: 1890 Ex: 32.811260","Age: 34 ex_fr_female$Type: Predicted Year: 1891 Ex: 32.588260","Age: 34 ex_fr_female$Type: Predicted Year: 1892 Ex: 32.790399","Age: 34 ex_fr_female$Type: Predicted Year: 1893 Ex: 32.889738","Age: 34 ex_fr_female$Type: Predicted Year: 1894 Ex: 33.536227","Age: 34 ex_fr_female$Type: Predicted Year: 1895 Ex: 33.120102","Age: 34 ex_fr_female$Type: Predicted Year: 1896 Ex: 34.153945","Age: 34 ex_fr_female$Type: Predicted Year: 1897 Ex: 34.634035","Age: 34 ex_fr_female$Type: Predicted Year: 1898 Ex: 33.785556","Age: 34 ex_fr_female$Type: Predicted Year: 1899 Ex: 33.684249","Age: 34 ex_fr_female$Type: Predicted Year: 1900 Ex: 32.836754","Age: 34 ex_fr_female$Type: Predicted Year: 1901 Ex: 33.818000","Age: 34 ex_fr_female$Type: Predicted Year: 1902 Ex: 34.173904","Age: 34 ex_fr_female$Type: Predicted Year: 1903 Ex: 34.329423","Age: 34 ex_fr_female$Type: Predicted Year: 1904 Ex: 34.354893","Age: 34 ex_fr_female$Type: Predicted Year: 1905 Ex: 33.943227","Age: 34 ex_fr_female$Type: Predicted Year: 1906 Ex: 33.968813","Age: 34 ex_fr_female$Type: Predicted Year: 1907 Ex: 33.520878","Age: 34 ex_fr_female$Type: Predicted Year: 1908 Ex: 34.346231","Age: 34 ex_fr_female$Type: Predicted Year: 1909 Ex: 33.963444","Age: 34 ex_fr_female$Type: Predicted Year: 1910 Ex: 34.922418","Age: 34 ex_fr_female$Type: Predicted Year: 1911 Ex: 34.353673","Age: 34 ex_fr_female$Type: Predicted Year: 1912 Ex: 35.119972","Age: 34 ex_fr_female$Type: Predicted Year: 1913 Ex: 35.180320","Age: 34 ex_fr_female$Type: Predicted Year: 1914 Ex: 34.459148","Age: 34 ex_fr_female$Type: Predicted Year: 1915 Ex: 34.470160","Age: 34 ex_fr_female$Type: Predicted Year: 1916 Ex: 34.910250","Age: 34 ex_fr_female$Type: Predicted Year: 1917 Ex: 34.881403","Age: 34 ex_fr_female$Type: Predicted Year: 1918 Ex: 32.194125","Age: 34 ex_fr_female$Type: Predicted Year: 1919 Ex: 34.466377","Age: 34 ex_fr_female$Type: Predicted Year: 1920 Ex: 35.878905","Age: 34 ex_fr_female$Type: Predicted Year: 1921 Ex: 35.831851","Age: 34 ex_fr_female$Type: Predicted Year: 1922 Ex: 35.476107","Age: 34 ex_fr_female$Type: Predicted Year: 1923 Ex: 36.249017","Age: 34 ex_fr_female$Type: Predicted Year: 1924 Ex: 35.956272","Age: 34 ex_fr_female$Type: Predicted Year: 1925 Ex: 35.828853","Age: 34 ex_fr_female$Type: Predicted Year: 1926 Ex: 35.886973","Age: 34 ex_fr_female$Type: Predicted Year: 1927 Ex: 36.419416","Age: 34 ex_fr_female$Type: Predicted Year: 1928 Ex: 36.676305","Age: 34 ex_fr_female$Type: Predicted Year: 1929 Ex: 35.630591","Age: 34 ex_fr_female$Type: Predicted Year: 1930 Ex: 37.062337","Age: 34 ex_fr_female$Type: Predicted Year: 1931 Ex: 36.543857","Age: 34 ex_fr_female$Type: Predicted Year: 1932 Ex: 36.898030","Age: 34 ex_fr_female$Type: Predicted Year: 1933 Ex: 36.884885","Age: 34 ex_fr_female$Type: Predicted Year: 1934 Ex: 37.531769","Age: 34 ex_fr_female$Type: Predicted Year: 1935 Ex: 37.001520","Age: 34 ex_fr_female$Type: Predicted Year: 1936 Ex: 37.424522","Age: 34 ex_fr_female$Type: Predicted Year: 1937 Ex: 37.787996","Age: 34 ex_fr_female$Type: Predicted Year: 1938 Ex: 37.552916","Age: 34 ex_fr_female$Type: Predicted Year: 1939 Ex: 37.650971","Age: 34 ex_fr_female$Type: Predicted Year: 1940 Ex: 36.003458","Age: 34 ex_fr_female$Type: Predicted Year: 1941 Ex: 37.186169","Age: 34 ex_fr_female$Type: Predicted Year: 1942 Ex: 37.602383","Age: 34 ex_fr_female$Type: Predicted Year: 1943 Ex: 37.345160","Age: 34 ex_fr_female$Type: Predicted Year: 1944 Ex: 35.140909","Age: 34 ex_fr_female$Type: Predicted Year: 1945 Ex: 38.034852","Age: 34 ex_fr_female$Type: Predicted Year: 1946 Ex: 40.198374","Age: 34 ex_fr_female$Type: Predicted Year: 1947 Ex: 40.626890","Age: 34 ex_fr_female$Type: Predicted Year: 1948 Ex: 41.199558","Age: 34 ex_fr_female$Type: Predicted Year: 1949 Ex: 40.138602","Age: 34 ex_fr_female$Type: Predicted Year: 1950 Ex: 40.916791","Age: 34 ex_fr_female$Type: Predicted Year: 1951 Ex: 40.461655","Age: 34 ex_fr_female$Type: Predicted Year: 1952 Ex: 41.309423","Age: 34 ex_fr_female$Type: Predicted Year: 1953 Ex: 40.806642","Age: 34 ex_fr_female$Type: Predicted Year: 1954 Ex: 41.705114","Age: 34 ex_fr_female$Type: Predicted Year: 1955 Ex: 41.793979","Age: 34 ex_fr_female$Type: Predicted Year: 1956 Ex: 41.644935","Age: 34 ex_fr_female$Type: Predicted Year: 1957 Ex: 42.107260","Age: 34 ex_fr_female$Type: Predicted Year: 1958 Ex: 42.851094","Age: 34 ex_fr_female$Type: Predicted Year: 1959 Ex: 42.881194","Age: 34 ex_fr_female$Type: Predicted Year: 1960 Ex: 42.867866","Age: 34 ex_fr_female$Type: Predicted Year: 1961 Ex: 43.524891","Age: 34 ex_fr_female$Type: Predicted Year: 1962 Ex: 43.010056","Age: 34 ex_fr_female$Type: Predicted Year: 1963 Ex: 42.943864","Age: 34 ex_fr_female$Type: Predicted Year: 1964 Ex: 43.750502","Age: 34 ex_fr_female$Type: Predicted Year: 1965 Ex: 43.535341","Age: 34 ex_fr_female$Type: Predicted Year: 1966 Ex: 43.948257","Age: 34 ex_fr_female$Type: Predicted Year: 1967 Ex: 43.947668","Age: 34 ex_fr_female$Type: Predicted Year: 1968 Ex: 43.935674","Age: 34 ex_fr_female$Type: Predicted Year: 1969 Ex: 43.724887","Age: 34 ex_fr_female$Type: Predicted Year: 1970 Ex: 44.375943","Age: 34 ex_fr_female$Type: Predicted Year: 1971 Ex: 44.392576","Age: 34 ex_fr_female$Type: Predicted Year: 1972 Ex: 44.636987","Age: 34 ex_fr_female$Type: Predicted Year: 1973 Ex: 44.687124","Age: 34 ex_fr_female$Type: Predicted Year: 1974 Ex: 45.008254","Age: 34 ex_fr_female$Type: Predicted Year: 1975 Ex: 45.041853","Age: 34 ex_fr_female$Type: Predicted Year: 1976 Ex: 45.288051","Age: 34 ex_fr_female$Type: Predicted Year: 1977 Ex: 45.882128","Age: 34 ex_fr_female$Type: Predicted Year: 1978 Ex: 45.895801","Age: 34 ex_fr_female$Type: Predicted Year: 1979 Ex: 46.179602","Age: 34 ex_fr_female$Type: Predicted Year: 1980 Ex: 46.310971","Age: 34 ex_fr_female$Type: Predicted Year: 1981 Ex: 46.352577","Age: 34 ex_fr_female$Type: Predicted Year: 1982 Ex: 46.706594","Age: 34 ex_fr_female$Type: Predicted Year: 1983 Ex: 46.611123","Age: 34 ex_fr_female$Type: Predicted Year: 1984 Ex: 47.082750","Age: 34 ex_fr_female$Type: Predicted Year: 1985 Ex: 47.127295","Age: 34 ex_fr_female$Type: Predicted Year: 1986 Ex: 47.354012","Age: 34 ex_fr_female$Type: Predicted Year: 1987 Ex: 47.854022","Age: 34 ex_fr_female$Type: Predicted Year: 1988 Ex: 48.058829","Age: 34 ex_fr_female$Type: Predicted Year: 1989 Ex: 48.218932","Age: 34 ex_fr_female$Type: Predicted Year: 1990 Ex: 48.467513","Age: 34 ex_fr_female$Type: Predicted Year: 1991 Ex: 48.699609","Age: 34 ex_fr_female$Type: Predicted Year: 1992 Ex: 48.924864","Age: 34 ex_fr_female$Type: Predicted Year: 1993 Ex: 48.904248","Age: 34 ex_fr_female$Type: Predicted Year: 1994 Ex: 49.269106","Age: 34 ex_fr_female$Type: Predicted Year: 1995 Ex: 49.242553","Age: 34 ex_fr_female$Type: Predicted Year: 1996 Ex: 49.313890","Age: 34 ex_fr_female$Type: Predicted Year: 1997 Ex: 49.519754","Age: 34 ex_fr_female$Type: Predicted Year: 1998 Ex: 49.620103","Age: 34 ex_fr_female$Type: Predicted Year: 1999 Ex: 49.681735","Age: 34 ex_fr_female$Type: Predicted Year: 2000 Ex: 49.940144","Age: 34 ex_fr_female$Type: Predicted Year: 2001 Ex: 50.092622","Age: 34 ex_fr_female$Type: Predicted Year: 2002 Ex: 50.133549","Age: 34 ex_fr_female$Type: Predicted Year: 2003 Ex: 49.999089","Age: 34 ex_fr_female$Type: Predicted Year: 2004 Ex: 50.884031","Age: 34 ex_fr_female$Type: Predicted Year: 2005 Ex: 50.806926","Age: 34 ex_fr_female$Type: Predicted Year: 2006 Ex: 51.150694","Age: 34 ex_fr_female$Type: Predicted Year: 2007 Ex: 51.317011","Age: 34 ex_fr_female$Type: Predicted Year: 2008 Ex: 51.280967","Age: 34 ex_fr_female$Type: Predicted Year: 2009 Ex: 51.385053","Age: 34 ex_fr_female$Type: Predicted Year: 2010 Ex: 51.584998","Age: 34 ex_fr_female$Type: Predicted Year: 2011 Ex: 51.903379","Age: 34 ex_fr_female$Type: Predicted Year: 2012 Ex: 51.752089","Age: 34 ex_fr_female$Type: Predicted Year: 2013 Ex: 51.947292","Age: 34 ex_fr_female$Type: Predicted Year: 2014 Ex: 52.314777","Age: 34 ex_fr_female$Type: Predicted Year: 2015 Ex: 52.041832","Age: 34 ex_fr_female$Type: Predicted Year: 2016 Ex: 52.226372","Age: 34 ex_fr_female$Type: Predicted Year: 2017 Ex: 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30.820000","Age: 35 ex_fr_female$Type: Observed Year: 1832 Ex: 27.440000","Age: 35 ex_fr_female$Type: Observed Year: 1833 Ex: 30.350000","Age: 35 ex_fr_female$Type: Observed Year: 1834 Ex: 29.590000","Age: 35 ex_fr_female$Type: Observed Year: 1835 Ex: 30.390000","Age: 35 ex_fr_female$Type: Observed Year: 1836 Ex: 31.290000","Age: 35 ex_fr_female$Type: Observed Year: 1837 Ex: 29.180000","Age: 35 ex_fr_female$Type: Observed Year: 1838 Ex: 30.500000","Age: 35 ex_fr_female$Type: Observed Year: 1839 Ex: 31.210000","Age: 35 ex_fr_female$Type: Observed Year: 1840 Ex: 30.490000","Age: 35 ex_fr_female$Type: Observed Year: 1841 Ex: 31.410000","Age: 35 ex_fr_female$Type: Observed Year: 1842 Ex: 30.700000","Age: 35 ex_fr_female$Type: Observed Year: 1843 Ex: 31.230000","Age: 35 ex_fr_female$Type: Observed Year: 1844 Ex: 31.400000","Age: 35 ex_fr_female$Type: Observed Year: 1845 Ex: 31.830000","Age: 35 ex_fr_female$Type: Observed Year: 1846 Ex: 31.290000","Age: 35 ex_fr_female$Type: Observed Year: 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32.550000","Age: 35 ex_fr_female$Type: Observed Year: 1895 Ex: 32.120000","Age: 35 ex_fr_female$Type: Observed Year: 1896 Ex: 33.160000","Age: 35 ex_fr_female$Type: Observed Year: 1897 Ex: 33.630000","Age: 35 ex_fr_female$Type: Observed Year: 1898 Ex: 32.790000","Age: 35 ex_fr_female$Type: Observed Year: 1899 Ex: 32.690000","Age: 35 ex_fr_female$Type: Observed Year: 1900 Ex: 31.850000","Age: 35 ex_fr_female$Type: Observed Year: 1901 Ex: 32.830000","Age: 35 ex_fr_female$Type: Observed Year: 1902 Ex: 33.170000","Age: 35 ex_fr_female$Type: Observed Year: 1903 Ex: 33.330000","Age: 35 ex_fr_female$Type: Observed Year: 1904 Ex: 33.360000","Age: 35 ex_fr_female$Type: Observed Year: 1905 Ex: 32.960000","Age: 35 ex_fr_female$Type: Observed Year: 1906 Ex: 32.980000","Age: 35 ex_fr_female$Type: Observed Year: 1907 Ex: 32.520000","Age: 35 ex_fr_female$Type: Observed Year: 1908 Ex: 33.350000","Age: 35 ex_fr_female$Type: Observed Year: 1909 Ex: 32.950000","Age: 35 ex_fr_female$Type: Observed Year: 1910 Ex: 33.900000","Age: 35 ex_fr_female$Type: Observed Year: 1911 Ex: 33.350000","Age: 35 ex_fr_female$Type: Observed Year: 1912 Ex: 34.100000","Age: 35 ex_fr_female$Type: Observed Year: 1913 Ex: 34.160000","Age: 35 ex_fr_female$Type: Observed Year: 1914 Ex: 33.430000","Age: 35 ex_fr_female$Type: Observed Year: 1915 Ex: 33.440000","Age: 35 ex_fr_female$Type: Observed Year: 1916 Ex: 33.880000","Age: 35 ex_fr_female$Type: Observed Year: 1917 Ex: 33.840000","Age: 35 ex_fr_female$Type: Observed Year: 1918 Ex: 31.410000","Age: 35 ex_fr_female$Type: Observed Year: 1919 Ex: 33.500000","Age: 35 ex_fr_female$Type: Observed Year: 1920 Ex: 34.860000","Age: 35 ex_fr_female$Type: Observed Year: 1921 Ex: 34.800000","Age: 35 ex_fr_female$Type: Observed Year: 1922 Ex: 34.430000","Age: 35 ex_fr_female$Type: Observed Year: 1923 Ex: 35.200000","Age: 35 ex_fr_female$Type: Observed Year: 1924 Ex: 34.900000","Age: 35 ex_fr_female$Type: Observed Year: 1925 Ex: 34.790000","Age: 35 ex_fr_female$Type: Observed Year: 1926 Ex: 34.840000","Age: 35 ex_fr_female$Type: Observed Year: 1927 Ex: 35.360000","Age: 35 ex_fr_female$Type: Observed Year: 1928 Ex: 35.610000","Age: 35 ex_fr_female$Type: Observed Year: 1929 Ex: 34.570000","Age: 35 ex_fr_female$Type: Observed Year: 1930 Ex: 35.990000","Age: 35 ex_fr_female$Type: Observed Year: 1931 Ex: 35.470000","Age: 35 ex_fr_female$Type: Observed Year: 1932 Ex: 35.810000","Age: 35 ex_fr_female$Type: Observed Year: 1933 Ex: 35.800000","Age: 35 ex_fr_female$Type: Observed Year: 1934 Ex: 36.450000","Age: 35 ex_fr_female$Type: Observed Year: 1935 Ex: 35.910000","Age: 35 ex_fr_female$Type: Observed Year: 1936 Ex: 36.330000","Age: 35 ex_fr_female$Type: Observed Year: 1937 Ex: 36.690000","Age: 35 ex_fr_female$Type: Observed Year: 1938 Ex: 36.460000","Age: 35 ex_fr_female$Type: Observed Year: 1939 Ex: 36.550000","Age: 35 ex_fr_female$Type: Observed Year: 1940 Ex: 34.920000","Age: 35 ex_fr_female$Type: Observed Year: 1941 Ex: 36.080000","Age: 35 ex_fr_female$Type: Observed Year: 1942 Ex: 36.510000","Age: 35 ex_fr_female$Type: Observed Year: 1943 Ex: 36.320000","Age: 35 ex_fr_female$Type: Observed Year: 1944 Ex: 34.200000","Age: 35 ex_fr_female$Type: Observed Year: 1945 Ex: 36.960000","Age: 35 ex_fr_female$Type: Observed Year: 1946 Ex: 39.060000","Age: 35 ex_fr_female$Type: Observed Year: 1947 Ex: 39.480000","Age: 35 ex_fr_female$Type: Observed Year: 1948 Ex: 40.040000","Age: 35 ex_fr_female$Type: Observed Year: 1949 Ex: 38.980000","Age: 35 ex_fr_female$Type: Observed Year: 1950 Ex: 39.750000","Age: 35 ex_fr_female$Type: Observed Year: 1951 Ex: 39.300000","Age: 35 ex_fr_female$Type: Observed Year: 1952 Ex: 40.140000","Age: 35 ex_fr_female$Type: Observed Year: 1953 Ex: 39.630000","Age: 35 ex_fr_female$Type: Observed Year: 1954 Ex: 40.520000","Age: 35 ex_fr_female$Type: Observed Year: 1955 Ex: 40.600000","Age: 35 ex_fr_female$Type: Observed Year: 1956 Ex: 40.460000","Age: 35 ex_fr_female$Type: Observed Year: 1957 Ex: 40.910000","Age: 35 ex_fr_female$Type: Observed Year: 1958 Ex: 41.650000","Age: 35 ex_fr_female$Type: Observed Year: 1959 Ex: 41.680000","Age: 35 ex_fr_female$Type: Observed Year: 1960 Ex: 41.660000","Age: 35 ex_fr_female$Type: Observed Year: 1961 Ex: 42.320000","Age: 35 ex_fr_female$Type: Observed Year: 1962 Ex: 41.800000","Age: 35 ex_fr_female$Type: Observed Year: 1963 Ex: 41.740000","Age: 35 ex_fr_female$Type: Observed Year: 1964 Ex: 42.540000","Age: 35 ex_fr_female$Type: Observed Year: 1965 Ex: 42.330000","Age: 35 ex_fr_female$Type: Observed Year: 1966 Ex: 42.740000","Age: 35 ex_fr_female$Type: Observed Year: 1967 Ex: 42.740000","Age: 35 ex_fr_female$Type: Observed Year: 1968 Ex: 42.730000","Age: 35 ex_fr_female$Type: Observed Year: 1969 Ex: 42.510000","Age: 35 ex_fr_female$Type: Observed Year: 1970 Ex: 43.170000","Age: 35 ex_fr_female$Type: Observed Year: 1971 Ex: 43.180000","Age: 35 ex_fr_female$Type: Observed Year: 1972 Ex: 43.430000","Age: 35 ex_fr_female$Type: Observed Year: 1973 Ex: 43.480000","Age: 35 ex_fr_female$Type: Observed Year: 1974 Ex: 43.800000","Age: 35 ex_fr_female$Type: Observed Year: 1975 Ex: 43.830000","Age: 35 ex_fr_female$Type: Observed Year: 1976 Ex: 44.080000","Age: 35 ex_fr_female$Type: Observed Year: 1977 Ex: 44.670000","Age: 35 ex_fr_female$Type: Observed Year: 1978 Ex: 44.680000","Age: 35 ex_fr_female$Type: Observed Year: 1979 Ex: 44.970000","Age: 35 ex_fr_female$Type: Observed Year: 1980 Ex: 45.100000","Age: 35 ex_fr_female$Type: Observed Year: 1981 Ex: 45.140000","Age: 35 ex_fr_female$Type: Observed Year: 1982 Ex: 45.490000","Age: 35 ex_fr_female$Type: Observed Year: 1983 Ex: 45.400000","Age: 35 ex_fr_female$Type: Observed Year: 1984 Ex: 45.870000","Age: 35 ex_fr_female$Type: Observed Year: 1985 Ex: 45.910000","Age: 35 ex_fr_female$Type: Observed Year: 1986 Ex: 46.140000","Age: 35 ex_fr_female$Type: Observed Year: 1987 Ex: 46.640000","Age: 35 ex_fr_female$Type: Observed Year: 1988 Ex: 46.840000","Age: 35 ex_fr_female$Type: Observed Year: 1989 Ex: 47.010000","Age: 35 ex_fr_female$Type: Observed Year: 1990 Ex: 47.250000","Age: 35 ex_fr_female$Type: Observed Year: 1991 Ex: 47.490000","Age: 35 ex_fr_female$Type: Observed Year: 1992 Ex: 47.710000","Age: 35 ex_fr_female$Type: Observed Year: 1993 Ex: 47.680000","Age: 35 ex_fr_female$Type: Observed Year: 1994 Ex: 48.050000","Age: 35 ex_fr_female$Type: Observed Year: 1995 Ex: 48.030000","Age: 35 ex_fr_female$Type: Observed Year: 1996 Ex: 48.100000","Age: 35 ex_fr_female$Type: Observed Year: 1997 Ex: 48.300000","Age: 35 ex_fr_female$Type: Observed Year: 1998 Ex: 48.400000","Age: 35 ex_fr_female$Type: Observed Year: 1999 Ex: 48.460000","Age: 35 ex_fr_female$Type: Observed Year: 2000 Ex: 48.720000","Age: 35 ex_fr_female$Type: Observed Year: 2001 Ex: 48.870000","Age: 35 ex_fr_female$Type: Observed Year: 2002 Ex: 48.910000","Age: 35 ex_fr_female$Type: Observed Year: 2003 Ex: 48.780000","Age: 35 ex_fr_female$Type: Observed Year: 2004 Ex: 49.660000","Age: 35 ex_fr_female$Type: Observed Year: 2005 Ex: 49.580000","Age: 35 ex_fr_female$Type: Observed Year: 2006 Ex: 49.920000","Age: 35 ex_fr_female$Type: Observed Year: 2007 Ex: 50.090000","Age: 35 ex_fr_female$Type: Observed Year: 2008 Ex: 50.060000","Age: 35 ex_fr_female$Type: Observed Year: 2009 Ex: 50.160000","Age: 35 ex_fr_female$Type: Observed Year: 2010 Ex: 50.350000","Age: 35 ex_fr_female$Type: Observed Year: 2011 Ex: 50.670000","Age: 35 ex_fr_female$Type: Observed Year: 2012 Ex: 50.520000","Age: 35 ex_fr_female$Type: Observed Year: 2013 Ex: 50.720000","Age: 35 ex_fr_female$Type: Observed Year: 2014 Ex: 51.080000","Age: 35 ex_fr_female$Type: Observed Year: 2015 Ex: 50.810000","Age: 35 ex_fr_female$Type: Observed Year: 2016 Ex: 51.000000","Age: 35 ex_fr_female$Type: Observed Year: 2017 Ex: 50.950000"],"frame":"35","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[30.3150713649159,30.2279007552528,30.1705094196072,30.3360413794917,30.1434731195437,31.2525695462964,31.3334915112966,31.6201251910635,31.6602304960993,31.0947417738021,30.5320207888034,30.7918617377307,30.5188648487799,30.5616809196407,30.5767954447539,31.0828834271955,27.7199922382348,30.6179257329825,29.8575393793477,30.656921736933,31.5602561023171,29.4524054016373,30.7716275109821,31.4782415165923,30.7612586530502,31.674761665718,30.9669439938773,31.499261424939,31.6697369610043,32.0934257296392,31.5487957274625,30.3132278395778,30.644617223244,28.5588815413406,31.7248265296696,31.5642467204834,31.4915248994751,31.4254516152073,28.3298143185085,30.0602335940999,31.5604065851602,31.0288920370183,30.4511747047145,30.5311544852458,32.0151707856503,31.9018860103531,32.1768963706159,31.9574137180041,31.6030356213323,31.1898686047145,31.1661214954231,31.7570768890707,31.4444583621598,31.5771710112384,29.649585075316,27.4071568423848,32.4569505233805,31.9196608745428,32.5337669016757,31.6445716420305,32.1824671685578,32.6116883501005,32.1852628880608,31.9332033586092,32.1258505906464,32.5360826327266,32.3738035427179,32.3116273462303,32.3272960389728,32.403890869647,32.2762148685025,32.2385430492813,32.6816670654545,33.0951162750221,32.1072888477801,31.880950292981,32.0738557967128,32.1763541586672,32.8032436556375,32.3798088038341,33.4212048542628,33.883782832512,33.048883841754,32.9481131544326,32.104637090297,33.0832635547245,33.4314802305945,33.5820540552553,33.6162417405946,33.2118473234214,33.2315664426261,32.7817792511296,33.6068306837063,33.2086220751999,34.1569424425598,33.601710372436,34.3582824072943,34.413459101967,33.6860713973084,33.6951056477012,34.1391485871241,34.0976523142019,31.6660517135854,33.7515281773922,35.115671820433,35.0523004629315,34.687650828482,35.4573235133058,35.1564539027541,35.0396870112622,35.0974421598428,35.6135445831974,35.866003270571,34.8232825196983,36.2463414505272,35.7248899387279,36.0680409590948,36.0573932580987,36.7054837842283,36.1661471020519,36.5803025806508,36.9453094294687,36.7103539934519,36.8002461874844,35.1696469248799,36.3343126915426,36.7652481552034,36.5720860702854,34.4470958318683,37.2082877601129,39.3180462484877,39.7353785738666,40.2998022796185,39.2358360278745,40.0106671980464,39.5516700894092,40.3964395942568,39.8812784055188,40.7772858924041,40.8601022245413,40.7120564275232,41.1693012338623,41.9019461430345,41.9320815854608,41.9174655242644,42.578274545727,42.0606734015581,41.9944021797432,42.7985365454926,42.5874451450855,42.9952064709384,42.9972269511858,42.9839143248867,42.7715955079006,43.4207196929946,43.4373692406353,43.6829130322306,43.7339874858701,44.051893037461,44.0828503369451,44.3328619501812,44.9270787542228,44.9394016158454,45.2225613175618,45.3540536115667,45.3924858230303,45.7481989348093,45.6544883208736,46.1232946031034,46.1646115968009,46.3933859531283,46.8909725453939,47.0964157167149,47.2614208566229,47.5078221590699,47.7415613166801,47.9621659555006,47.9391118873474,48.3076486076907,48.2810747306101,48.3524683008636,48.5575137327342,48.6515503008394,48.7156825162457,48.9727849017498,49.121394457562,49.1633379873002,49.0287975182878,49.9097331027621,49.8320861466448,50.1760260244786,50.3424261653542,50.3094127634165,50.4145753422384,50.6064583325293,50.9265162010175,50.7715689906291,50.9694189213513,51.3339521921963,51.0609060201623,51.2475839328067,51.197272797785],"text":["Age: 35 ex_fr_female$Type: Predicted Year: 1816 Ex: 30.315071","Age: 35 ex_fr_female$Type: Predicted Year: 1817 Ex: 30.227901","Age: 35 ex_fr_female$Type: Predicted Year: 1818 Ex: 30.170509","Age: 35 ex_fr_female$Type: Predicted Year: 1819 Ex: 30.336041","Age: 35 ex_fr_female$Type: Predicted Year: 1820 Ex: 30.143473","Age: 35 ex_fr_female$Type: Predicted Year: 1821 Ex: 31.252570","Age: 35 ex_fr_female$Type: Predicted Year: 1822 Ex: 31.333492","Age: 35 ex_fr_female$Type: Predicted Year: 1823 Ex: 31.620125","Age: 35 ex_fr_female$Type: Predicted Year: 1824 Ex: 31.660230","Age: 35 ex_fr_female$Type: Predicted Year: 1825 Ex: 31.094742","Age: 35 ex_fr_female$Type: Predicted Year: 1826 Ex: 30.532021","Age: 35 ex_fr_female$Type: Predicted Year: 1827 Ex: 30.791862","Age: 35 ex_fr_female$Type: Predicted Year: 1828 Ex: 30.518865","Age: 35 ex_fr_female$Type: Predicted Year: 1829 Ex: 30.561681","Age: 35 ex_fr_female$Type: Predicted Year: 1830 Ex: 30.576795","Age: 35 ex_fr_female$Type: Predicted Year: 1831 Ex: 31.082883","Age: 35 ex_fr_female$Type: Predicted Year: 1832 Ex: 27.719992","Age: 35 ex_fr_female$Type: Predicted Year: 1833 Ex: 30.617926","Age: 35 ex_fr_female$Type: Predicted Year: 1834 Ex: 29.857539","Age: 35 ex_fr_female$Type: Predicted Year: 1835 Ex: 30.656922","Age: 35 ex_fr_female$Type: Predicted Year: 1836 Ex: 31.560256","Age: 35 ex_fr_female$Type: Predicted Year: 1837 Ex: 29.452405","Age: 35 ex_fr_female$Type: Predicted Year: 1838 Ex: 30.771628","Age: 35 ex_fr_female$Type: Predicted Year: 1839 Ex: 31.478242","Age: 35 ex_fr_female$Type: Predicted Year: 1840 Ex: 30.761259","Age: 35 ex_fr_female$Type: Predicted Year: 1841 Ex: 31.674762","Age: 35 ex_fr_female$Type: Predicted Year: 1842 Ex: 30.966944","Age: 35 ex_fr_female$Type: Predicted Year: 1843 Ex: 31.499261","Age: 35 ex_fr_female$Type: Predicted Year: 1844 Ex: 31.669737","Age: 35 ex_fr_female$Type: Predicted Year: 1845 Ex: 32.093426","Age: 35 ex_fr_female$Type: Predicted Year: 1846 Ex: 31.548796","Age: 35 ex_fr_female$Type: Predicted Year: 1847 Ex: 30.313228","Age: 35 ex_fr_female$Type: Predicted Year: 1848 Ex: 30.644617","Age: 35 ex_fr_female$Type: Predicted Year: 1849 Ex: 28.558882","Age: 35 ex_fr_female$Type: Predicted Year: 1850 Ex: 31.724827","Age: 35 ex_fr_female$Type: Predicted Year: 1851 Ex: 31.564247","Age: 35 ex_fr_female$Type: Predicted Year: 1852 Ex: 31.491525","Age: 35 ex_fr_female$Type: Predicted Year: 1853 Ex: 31.425452","Age: 35 ex_fr_female$Type: Predicted Year: 1854 Ex: 28.329814","Age: 35 ex_fr_female$Type: Predicted Year: 1855 Ex: 30.060234","Age: 35 ex_fr_female$Type: Predicted Year: 1856 Ex: 31.560407","Age: 35 ex_fr_female$Type: Predicted Year: 1857 Ex: 31.028892","Age: 35 ex_fr_female$Type: Predicted Year: 1858 Ex: 30.451175","Age: 35 ex_fr_female$Type: Predicted Year: 1859 Ex: 30.531154","Age: 35 ex_fr_female$Type: Predicted Year: 1860 Ex: 32.015171","Age: 35 ex_fr_female$Type: Predicted Year: 1861 Ex: 31.901886","Age: 35 ex_fr_female$Type: Predicted Year: 1862 Ex: 32.176896","Age: 35 ex_fr_female$Type: Predicted Year: 1863 Ex: 31.957414","Age: 35 ex_fr_female$Type: Predicted Year: 1864 Ex: 31.603036","Age: 35 ex_fr_female$Type: Predicted Year: 1865 Ex: 31.189869","Age: 35 ex_fr_female$Type: Predicted Year: 1866 Ex: 31.166121","Age: 35 ex_fr_female$Type: Predicted Year: 1867 Ex: 31.757077","Age: 35 ex_fr_female$Type: Predicted Year: 1868 Ex: 31.444458","Age: 35 ex_fr_female$Type: Predicted Year: 1869 Ex: 31.577171","Age: 35 ex_fr_female$Type: Predicted Year: 1870 Ex: 29.649585","Age: 35 ex_fr_female$Type: Predicted Year: 1871 Ex: 27.407157","Age: 35 ex_fr_female$Type: Predicted Year: 1872 Ex: 32.456951","Age: 35 ex_fr_female$Type: Predicted Year: 1873 Ex: 31.919661","Age: 35 ex_fr_female$Type: Predicted Year: 1874 Ex: 32.533767","Age: 35 ex_fr_female$Type: Predicted Year: 1875 Ex: 31.644572","Age: 35 ex_fr_female$Type: Predicted Year: 1876 Ex: 32.182467","Age: 35 ex_fr_female$Type: Predicted Year: 1877 Ex: 32.611688","Age: 35 ex_fr_female$Type: Predicted Year: 1878 Ex: 32.185263","Age: 35 ex_fr_female$Type: Predicted Year: 1879 Ex: 31.933203","Age: 35 ex_fr_female$Type: Predicted Year: 1880 Ex: 32.125851","Age: 35 ex_fr_female$Type: Predicted Year: 1881 Ex: 32.536083","Age: 35 ex_fr_female$Type: Predicted Year: 1882 Ex: 32.373804","Age: 35 ex_fr_female$Type: Predicted Year: 1883 Ex: 32.311627","Age: 35 ex_fr_female$Type: Predicted Year: 1884 Ex: 32.327296","Age: 35 ex_fr_female$Type: Predicted Year: 1885 Ex: 32.403891","Age: 35 ex_fr_female$Type: Predicted Year: 1886 Ex: 32.276215","Age: 35 ex_fr_female$Type: Predicted Year: 1887 Ex: 32.238543","Age: 35 ex_fr_female$Type: Predicted Year: 1888 Ex: 32.681667","Age: 35 ex_fr_female$Type: Predicted Year: 1889 Ex: 33.095116","Age: 35 ex_fr_female$Type: Predicted Year: 1890 Ex: 32.107289","Age: 35 ex_fr_female$Type: Predicted Year: 1891 Ex: 31.880950","Age: 35 ex_fr_female$Type: Predicted Year: 1892 Ex: 32.073856","Age: 35 ex_fr_female$Type: Predicted Year: 1893 Ex: 32.176354","Age: 35 ex_fr_female$Type: Predicted Year: 1894 Ex: 32.803244","Age: 35 ex_fr_female$Type: Predicted Year: 1895 Ex: 32.379809","Age: 35 ex_fr_female$Type: Predicted Year: 1896 Ex: 33.421205","Age: 35 ex_fr_female$Type: Predicted Year: 1897 Ex: 33.883783","Age: 35 ex_fr_female$Type: Predicted Year: 1898 Ex: 33.048884","Age: 35 ex_fr_female$Type: Predicted Year: 1899 Ex: 32.948113","Age: 35 ex_fr_female$Type: Predicted Year: 1900 Ex: 32.104637","Age: 35 ex_fr_female$Type: Predicted Year: 1901 Ex: 33.083264","Age: 35 ex_fr_female$Type: Predicted Year: 1902 Ex: 33.431480","Age: 35 ex_fr_female$Type: Predicted Year: 1903 Ex: 33.582054","Age: 35 ex_fr_female$Type: Predicted Year: 1904 Ex: 33.616242","Age: 35 ex_fr_female$Type: Predicted Year: 1905 Ex: 33.211847","Age: 35 ex_fr_female$Type: Predicted Year: 1906 Ex: 33.231566","Age: 35 ex_fr_female$Type: Predicted Year: 1907 Ex: 32.781779","Age: 35 ex_fr_female$Type: Predicted Year: 1908 Ex: 33.606831","Age: 35 ex_fr_female$Type: Predicted Year: 1909 Ex: 33.208622","Age: 35 ex_fr_female$Type: Predicted Year: 1910 Ex: 34.156942","Age: 35 ex_fr_female$Type: Predicted Year: 1911 Ex: 33.601710","Age: 35 ex_fr_female$Type: Predicted Year: 1912 Ex: 34.358282","Age: 35 ex_fr_female$Type: Predicted Year: 1913 Ex: 34.413459","Age: 35 ex_fr_female$Type: Predicted Year: 1914 Ex: 33.686071","Age: 35 ex_fr_female$Type: Predicted Year: 1915 Ex: 33.695106","Age: 35 ex_fr_female$Type: Predicted Year: 1916 Ex: 34.139149","Age: 35 ex_fr_female$Type: Predicted Year: 1917 Ex: 34.097652","Age: 35 ex_fr_female$Type: Predicted Year: 1918 Ex: 31.666052","Age: 35 ex_fr_female$Type: Predicted Year: 1919 Ex: 33.751528","Age: 35 ex_fr_female$Type: Predicted Year: 1920 Ex: 35.115672","Age: 35 ex_fr_female$Type: Predicted Year: 1921 Ex: 35.052300","Age: 35 ex_fr_female$Type: Predicted Year: 1922 Ex: 34.687651","Age: 35 ex_fr_female$Type: Predicted Year: 1923 Ex: 35.457324","Age: 35 ex_fr_female$Type: Predicted Year: 1924 Ex: 35.156454","Age: 35 ex_fr_female$Type: Predicted Year: 1925 Ex: 35.039687","Age: 35 ex_fr_female$Type: Predicted Year: 1926 Ex: 35.097442","Age: 35 ex_fr_female$Type: Predicted Year: 1927 Ex: 35.613545","Age: 35 ex_fr_female$Type: Predicted Year: 1928 Ex: 35.866003","Age: 35 ex_fr_female$Type: Predicted Year: 1929 Ex: 34.823283","Age: 35 ex_fr_female$Type: Predicted Year: 1930 Ex: 36.246341","Age: 35 ex_fr_female$Type: Predicted Year: 1931 Ex: 35.724890","Age: 35 ex_fr_female$Type: Predicted Year: 1932 Ex: 36.068041","Age: 35 ex_fr_female$Type: Predicted Year: 1933 Ex: 36.057393","Age: 35 ex_fr_female$Type: Predicted Year: 1934 Ex: 36.705484","Age: 35 ex_fr_female$Type: Predicted Year: 1935 Ex: 36.166147","Age: 35 ex_fr_female$Type: Predicted Year: 1936 Ex: 36.580303","Age: 35 ex_fr_female$Type: Predicted Year: 1937 Ex: 36.945309","Age: 35 ex_fr_female$Type: Predicted Year: 1938 Ex: 36.710354","Age: 35 ex_fr_female$Type: Predicted Year: 1939 Ex: 36.800246","Age: 35 ex_fr_female$Type: Predicted Year: 1940 Ex: 35.169647","Age: 35 ex_fr_female$Type: Predicted Year: 1941 Ex: 36.334313","Age: 35 ex_fr_female$Type: Predicted Year: 1942 Ex: 36.765248","Age: 35 ex_fr_female$Type: Predicted Year: 1943 Ex: 36.572086","Age: 35 ex_fr_female$Type: Predicted Year: 1944 Ex: 34.447096","Age: 35 ex_fr_female$Type: Predicted Year: 1945 Ex: 37.208288","Age: 35 ex_fr_female$Type: Predicted Year: 1946 Ex: 39.318046","Age: 35 ex_fr_female$Type: Predicted Year: 1947 Ex: 39.735379","Age: 35 ex_fr_female$Type: Predicted Year: 1948 Ex: 40.299802","Age: 35 ex_fr_female$Type: Predicted Year: 1949 Ex: 39.235836","Age: 35 ex_fr_female$Type: Predicted Year: 1950 Ex: 40.010667","Age: 35 ex_fr_female$Type: Predicted Year: 1951 Ex: 39.551670","Age: 35 ex_fr_female$Type: Predicted Year: 1952 Ex: 40.396440","Age: 35 ex_fr_female$Type: Predicted Year: 1953 Ex: 39.881278","Age: 35 ex_fr_female$Type: Predicted Year: 1954 Ex: 40.777286","Age: 35 ex_fr_female$Type: Predicted Year: 1955 Ex: 40.860102","Age: 35 ex_fr_female$Type: Predicted Year: 1956 Ex: 40.712056","Age: 35 ex_fr_female$Type: Predicted Year: 1957 Ex: 41.169301","Age: 35 ex_fr_female$Type: Predicted Year: 1958 Ex: 41.901946","Age: 35 ex_fr_female$Type: Predicted Year: 1959 Ex: 41.932082","Age: 35 ex_fr_female$Type: Predicted Year: 1960 Ex: 41.917466","Age: 35 ex_fr_female$Type: Predicted Year: 1961 Ex: 42.578275","Age: 35 ex_fr_female$Type: Predicted Year: 1962 Ex: 42.060673","Age: 35 ex_fr_female$Type: Predicted Year: 1963 Ex: 41.994402","Age: 35 ex_fr_female$Type: Predicted Year: 1964 Ex: 42.798537","Age: 35 ex_fr_female$Type: Predicted Year: 1965 Ex: 42.587445","Age: 35 ex_fr_female$Type: Predicted Year: 1966 Ex: 42.995206","Age: 35 ex_fr_female$Type: Predicted Year: 1967 Ex: 42.997227","Age: 35 ex_fr_female$Type: Predicted Year: 1968 Ex: 42.983914","Age: 35 ex_fr_female$Type: Predicted Year: 1969 Ex: 42.771596","Age: 35 ex_fr_female$Type: Predicted Year: 1970 Ex: 43.420720","Age: 35 ex_fr_female$Type: Predicted Year: 1971 Ex: 43.437369","Age: 35 ex_fr_female$Type: Predicted Year: 1972 Ex: 43.682913","Age: 35 ex_fr_female$Type: Predicted Year: 1973 Ex: 43.733987","Age: 35 ex_fr_female$Type: Predicted Year: 1974 Ex: 44.051893","Age: 35 ex_fr_female$Type: Predicted Year: 1975 Ex: 44.082850","Age: 35 ex_fr_female$Type: Predicted Year: 1976 Ex: 44.332862","Age: 35 ex_fr_female$Type: Predicted Year: 1977 Ex: 44.927079","Age: 35 ex_fr_female$Type: Predicted Year: 1978 Ex: 44.939402","Age: 35 ex_fr_female$Type: Predicted Year: 1979 Ex: 45.222561","Age: 35 ex_fr_female$Type: Predicted Year: 1980 Ex: 45.354054","Age: 35 ex_fr_female$Type: Predicted Year: 1981 Ex: 45.392486","Age: 35 ex_fr_female$Type: Predicted Year: 1982 Ex: 45.748199","Age: 35 ex_fr_female$Type: Predicted Year: 1983 Ex: 45.654488","Age: 35 ex_fr_female$Type: Predicted Year: 1984 Ex: 46.123295","Age: 35 ex_fr_female$Type: Predicted Year: 1985 Ex: 46.164612","Age: 35 ex_fr_female$Type: Predicted Year: 1986 Ex: 46.393386","Age: 35 ex_fr_female$Type: Predicted Year: 1987 Ex: 46.890973","Age: 35 ex_fr_female$Type: Predicted Year: 1988 Ex: 47.096416","Age: 35 ex_fr_female$Type: Predicted Year: 1989 Ex: 47.261421","Age: 35 ex_fr_female$Type: Predicted Year: 1990 Ex: 47.507822","Age: 35 ex_fr_female$Type: Predicted Year: 1991 Ex: 47.741561","Age: 35 ex_fr_female$Type: Predicted Year: 1992 Ex: 47.962166","Age: 35 ex_fr_female$Type: Predicted Year: 1993 Ex: 47.939112","Age: 35 ex_fr_female$Type: Predicted Year: 1994 Ex: 48.307649","Age: 35 ex_fr_female$Type: Predicted Year: 1995 Ex: 48.281075","Age: 35 ex_fr_female$Type: Predicted Year: 1996 Ex: 48.352468","Age: 35 ex_fr_female$Type: Predicted Year: 1997 Ex: 48.557514","Age: 35 ex_fr_female$Type: Predicted Year: 1998 Ex: 48.651550","Age: 35 ex_fr_female$Type: Predicted Year: 1999 Ex: 48.715683","Age: 35 ex_fr_female$Type: Predicted Year: 2000 Ex: 48.972785","Age: 35 ex_fr_female$Type: Predicted Year: 2001 Ex: 49.121394","Age: 35 ex_fr_female$Type: Predicted Year: 2002 Ex: 49.163338","Age: 35 ex_fr_female$Type: Predicted Year: 2003 Ex: 49.028798","Age: 35 ex_fr_female$Type: Predicted Year: 2004 Ex: 49.909733","Age: 35 ex_fr_female$Type: Predicted Year: 2005 Ex: 49.832086","Age: 35 ex_fr_female$Type: Predicted Year: 2006 Ex: 50.176026","Age: 35 ex_fr_female$Type: Predicted Year: 2007 Ex: 50.342426","Age: 35 ex_fr_female$Type: Predicted Year: 2008 Ex: 50.309413","Age: 35 ex_fr_female$Type: Predicted Year: 2009 Ex: 50.414575","Age: 35 ex_fr_female$Type: Predicted Year: 2010 Ex: 50.606458","Age: 35 ex_fr_female$Type: Predicted Year: 2011 Ex: 50.926516","Age: 35 ex_fr_female$Type: Predicted Year: 2012 Ex: 50.771569","Age: 35 ex_fr_female$Type: Predicted Year: 2013 Ex: 50.969419","Age: 35 ex_fr_female$Type: Predicted Year: 2014 Ex: 51.333952","Age: 35 ex_fr_female$Type: Predicted Year: 2015 Ex: 51.060906","Age: 35 ex_fr_female$Type: Predicted Year: 2016 Ex: 51.247584","Age: 35 ex_fr_female$Type: Predicted Year: 2017 Ex: 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30.130000","Age: 36 ex_fr_female$Type: Observed Year: 1832 Ex: 26.830000","Age: 36 ex_fr_female$Type: Observed Year: 1833 Ex: 29.700000","Age: 36 ex_fr_female$Type: Observed Year: 1834 Ex: 28.940000","Age: 36 ex_fr_female$Type: Observed Year: 1835 Ex: 29.720000","Age: 36 ex_fr_female$Type: Observed Year: 1836 Ex: 30.610000","Age: 36 ex_fr_female$Type: Observed Year: 1837 Ex: 28.530000","Age: 36 ex_fr_female$Type: Observed Year: 1838 Ex: 29.830000","Age: 36 ex_fr_female$Type: Observed Year: 1839 Ex: 30.530000","Age: 36 ex_fr_female$Type: Observed Year: 1840 Ex: 29.820000","Age: 36 ex_fr_female$Type: Observed Year: 1841 Ex: 30.730000","Age: 36 ex_fr_female$Type: Observed Year: 1842 Ex: 30.020000","Age: 36 ex_fr_female$Type: Observed Year: 1843 Ex: 30.550000","Age: 36 ex_fr_female$Type: Observed Year: 1844 Ex: 30.720000","Age: 36 ex_fr_female$Type: Observed Year: 1845 Ex: 31.140000","Age: 36 ex_fr_female$Type: Observed Year: 1846 Ex: 30.620000","Age: 36 ex_fr_female$Type: Observed Year: 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31.820000","Age: 36 ex_fr_female$Type: Observed Year: 1895 Ex: 31.380000","Age: 36 ex_fr_female$Type: Observed Year: 1896 Ex: 32.410000","Age: 36 ex_fr_female$Type: Observed Year: 1897 Ex: 32.890000","Age: 36 ex_fr_female$Type: Observed Year: 1898 Ex: 32.050000","Age: 36 ex_fr_female$Type: Observed Year: 1899 Ex: 31.970000","Age: 36 ex_fr_female$Type: Observed Year: 1900 Ex: 31.120000","Age: 36 ex_fr_female$Type: Observed Year: 1901 Ex: 32.080000","Age: 36 ex_fr_female$Type: Observed Year: 1902 Ex: 32.440000","Age: 36 ex_fr_female$Type: Observed Year: 1903 Ex: 32.580000","Age: 36 ex_fr_female$Type: Observed Year: 1904 Ex: 32.600000","Age: 36 ex_fr_female$Type: Observed Year: 1905 Ex: 32.220000","Age: 36 ex_fr_female$Type: Observed Year: 1906 Ex: 32.250000","Age: 36 ex_fr_female$Type: Observed Year: 1907 Ex: 31.790000","Age: 36 ex_fr_female$Type: Observed Year: 1908 Ex: 32.600000","Age: 36 ex_fr_female$Type: Observed Year: 1909 Ex: 32.200000","Age: 36 ex_fr_female$Type: Observed Year: 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Observed Year: 1926 Ex: 34.050000","Age: 36 ex_fr_female$Type: Observed Year: 1927 Ex: 34.550000","Age: 36 ex_fr_female$Type: Observed Year: 1928 Ex: 34.800000","Age: 36 ex_fr_female$Type: Observed Year: 1929 Ex: 33.760000","Age: 36 ex_fr_female$Type: Observed Year: 1930 Ex: 35.170000","Age: 36 ex_fr_female$Type: Observed Year: 1931 Ex: 34.650000","Age: 36 ex_fr_female$Type: Observed Year: 1932 Ex: 34.990000","Age: 36 ex_fr_female$Type: Observed Year: 1933 Ex: 34.970000","Age: 36 ex_fr_female$Type: Observed Year: 1934 Ex: 35.620000","Age: 36 ex_fr_female$Type: Observed Year: 1935 Ex: 35.080000","Age: 36 ex_fr_female$Type: Observed Year: 1936 Ex: 35.480000","Age: 36 ex_fr_female$Type: Observed Year: 1937 Ex: 35.850000","Age: 36 ex_fr_female$Type: Observed Year: 1938 Ex: 35.600000","Age: 36 ex_fr_female$Type: Observed Year: 1939 Ex: 35.690000","Age: 36 ex_fr_female$Type: Observed Year: 1940 Ex: 34.080000","Age: 36 ex_fr_female$Type: Observed Year: 1941 Ex: 35.230000","Age: 36 ex_fr_female$Type: Observed Year: 1942 Ex: 35.670000","Age: 36 ex_fr_female$Type: Observed Year: 1943 Ex: 35.540000","Age: 36 ex_fr_female$Type: Observed Year: 1944 Ex: 33.490000","Age: 36 ex_fr_female$Type: Observed Year: 1945 Ex: 36.130000","Age: 36 ex_fr_female$Type: Observed Year: 1946 Ex: 38.180000","Age: 36 ex_fr_female$Type: Observed Year: 1947 Ex: 38.580000","Age: 36 ex_fr_female$Type: Observed Year: 1948 Ex: 39.140000","Age: 36 ex_fr_female$Type: Observed Year: 1949 Ex: 38.070000","Age: 36 ex_fr_female$Type: Observed Year: 1950 Ex: 38.840000","Age: 36 ex_fr_female$Type: Observed Year: 1951 Ex: 38.390000","Age: 36 ex_fr_female$Type: Observed Year: 1952 Ex: 39.220000","Age: 36 ex_fr_female$Type: Observed Year: 1953 Ex: 38.710000","Age: 36 ex_fr_female$Type: Observed Year: 1954 Ex: 39.600000","Age: 36 ex_fr_female$Type: Observed Year: 1955 Ex: 39.680000","Age: 36 ex_fr_female$Type: Observed Year: 1956 Ex: 39.530000","Age: 36 ex_fr_female$Type: Observed Year: 1957 Ex: 39.980000","Age: 36 ex_fr_female$Type: Observed Year: 1958 Ex: 40.700000","Age: 36 ex_fr_female$Type: Observed Year: 1959 Ex: 40.740000","Age: 36 ex_fr_female$Type: Observed Year: 1960 Ex: 40.720000","Age: 36 ex_fr_female$Type: Observed Year: 1961 Ex: 41.380000","Age: 36 ex_fr_female$Type: Observed Year: 1962 Ex: 40.860000","Age: 36 ex_fr_female$Type: Observed Year: 1963 Ex: 40.790000","Age: 36 ex_fr_female$Type: Observed Year: 1964 Ex: 41.590000","Age: 36 ex_fr_female$Type: Observed Year: 1965 Ex: 41.380000","Age: 36 ex_fr_female$Type: Observed Year: 1966 Ex: 41.790000","Age: 36 ex_fr_female$Type: Observed Year: 1967 Ex: 41.790000","Age: 36 ex_fr_female$Type: Observed Year: 1968 Ex: 41.780000","Age: 36 ex_fr_female$Type: Observed Year: 1969 Ex: 41.570000","Age: 36 ex_fr_female$Type: Observed Year: 1970 Ex: 42.220000","Age: 36 ex_fr_female$Type: Observed Year: 1971 Ex: 42.230000","Age: 36 ex_fr_female$Type: Observed Year: 1972 Ex: 42.480000","Age: 36 ex_fr_female$Type: Observed Year: 1973 Ex: 42.530000","Age: 36 ex_fr_female$Type: Observed Year: 1974 Ex: 42.840000","Age: 36 ex_fr_female$Type: Observed Year: 1975 Ex: 42.870000","Age: 36 ex_fr_female$Type: Observed Year: 1976 Ex: 43.120000","Age: 36 ex_fr_female$Type: Observed Year: 1977 Ex: 43.720000","Age: 36 ex_fr_female$Type: Observed Year: 1978 Ex: 43.730000","Age: 36 ex_fr_female$Type: Observed Year: 1979 Ex: 44.010000","Age: 36 ex_fr_female$Type: Observed Year: 1980 Ex: 44.140000","Age: 36 ex_fr_female$Type: Observed Year: 1981 Ex: 44.180000","Age: 36 ex_fr_female$Type: Observed Year: 1982 Ex: 44.530000","Age: 36 ex_fr_female$Type: Observed Year: 1983 Ex: 44.440000","Age: 36 ex_fr_female$Type: Observed Year: 1984 Ex: 44.900000","Age: 36 ex_fr_female$Type: Observed Year: 1985 Ex: 44.950000","Age: 36 ex_fr_female$Type: Observed Year: 1986 Ex: 45.180000","Age: 36 ex_fr_female$Type: Observed Year: 1987 Ex: 45.680000","Age: 36 ex_fr_female$Type: Observed Year: 1988 Ex: 45.880000","Age: 36 ex_fr_female$Type: Observed Year: 1989 Ex: 46.050000","Age: 36 ex_fr_female$Type: Observed Year: 1990 Ex: 46.290000","Age: 36 ex_fr_female$Type: Observed Year: 1991 Ex: 46.530000","Age: 36 ex_fr_female$Type: Observed Year: 1992 Ex: 46.750000","Age: 36 ex_fr_female$Type: Observed Year: 1993 Ex: 46.730000","Age: 36 ex_fr_female$Type: Observed Year: 1994 Ex: 47.090000","Age: 36 ex_fr_female$Type: Observed Year: 1995 Ex: 47.070000","Age: 36 ex_fr_female$Type: Observed Year: 1996 Ex: 47.140000","Age: 36 ex_fr_female$Type: Observed Year: 1997 Ex: 47.340000","Age: 36 ex_fr_female$Type: Observed Year: 1998 Ex: 47.440000","Age: 36 ex_fr_female$Type: Observed Year: 1999 Ex: 47.500000","Age: 36 ex_fr_female$Type: Observed Year: 2000 Ex: 47.750000","Age: 36 ex_fr_female$Type: Observed Year: 2001 Ex: 47.900000","Age: 36 ex_fr_female$Type: Observed Year: 2002 Ex: 47.940000","Age: 36 ex_fr_female$Type: Observed Year: 2003 Ex: 47.810000","Age: 36 ex_fr_female$Type: Observed Year: 2004 Ex: 48.690000","Age: 36 ex_fr_female$Type: Observed Year: 2005 Ex: 48.610000","Age: 36 ex_fr_female$Type: Observed Year: 2006 Ex: 48.950000","Age: 36 ex_fr_female$Type: Observed Year: 2007 Ex: 49.110000","Age: 36 ex_fr_female$Type: Observed Year: 2008 Ex: 49.090000","Age: 36 ex_fr_female$Type: Observed Year: 2009 Ex: 49.190000","Age: 36 ex_fr_female$Type: Observed Year: 2010 Ex: 49.380000","Age: 36 ex_fr_female$Type: Observed Year: 2011 Ex: 49.700000","Age: 36 ex_fr_female$Type: Observed Year: 2012 Ex: 49.540000","Age: 36 ex_fr_female$Type: Observed Year: 2013 Ex: 49.740000","Age: 36 ex_fr_female$Type: Observed Year: 2014 Ex: 50.100000","Age: 36 ex_fr_female$Type: Observed Year: 2015 Ex: 49.830000","Age: 36 ex_fr_female$Type: Observed Year: 2016 Ex: 50.020000","Age: 36 ex_fr_female$Type: Observed Year: 2017 Ex: 49.970000"],"frame":"36","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[29.6300831519018,29.5440946107389,29.5052906580428,29.669371447747,29.4611658452259,30.5594663042946,30.6415072551659,30.9222046441676,30.9708808081685,30.4232478383309,29.8693625145526,30.1327348556707,29.8575766857889,29.8847671847587,29.8821129320568,30.4022989496432,27.1109367620066,29.9693318268294,29.2152249674676,29.9938367000504,30.8805775791028,28.7978292933787,30.1033963912493,30.7986561551133,30.0864898689,30.9927995388311,30.2879194784724,30.8180142902221,30.9877235732155,31.4052040016196,30.8793527737766,29.6447957098059,29.9795658346388,27.9604514019023,31.0367515728391,30.8808433270243,30.8127031953037,30.7412585026058,27.7123017607494,29.3925747929837,30.8816710747203,30.3428082841612,29.7642951479484,29.856948299771,31.3163119862306,31.2054322109978,31.4719085815693,31.2548273120505,30.9052632463575,30.5156738689756,30.495703952442,31.0529119364389,30.7560830747588,30.8938993379086,29.0180176202441,26.8613845337027,31.766184920543,31.2271860189139,31.8275764340031,30.9635600731192,31.4906450316066,31.9133428710594,31.4761957540553,31.2316573253409,31.4347551344705,31.8483471170128,31.69478718225,31.637447884531,31.6529555194049,31.7110012026734,31.5772841162154,31.528043351541,31.9589754217245,32.3799327382298,31.3987817116479,31.1618057712471,31.3465636001192,31.4630496729285,32.0789931621129,31.637799766372,32.6723604022375,33.1468781769743,32.311961243221,32.2250993073954,31.3830305127363,32.342020553372,32.6956581484186,32.8394373343901,32.8565408496584,32.4775609800087,32.5070110824562,32.0443249732383,32.859735969823,32.4607926276589,33.3974360299219,32.8405703717112,33.589986002572,33.6373462515801,32.9315573592764,32.9229393616332,33.3564845257475,33.3167491188593,31.0915482412794,33.0323544036455,34.3570896666005,34.2734496056503,33.8999293892559,34.6701604270648,34.3639723751938,34.2416420855795,34.3049553283324,34.8061424271708,35.056430003913,34.0163777668019,35.4240841059072,34.9032259312998,35.2434672693367,35.2274075079256,35.8745953686545,35.3359646173856,35.7310717962266,36.1041920952851,35.8580306562139,35.9479249749441,34.3319331142713,35.4840539860654,35.9211605017726,35.7946136719929,33.7447532531243,36.3804854895171,38.4362327525693,38.8402770741568,39.3962344841026,38.3285254398284,39.1016463586366,38.6408095161596,39.4791107889034,38.969196685245,39.8546925917489,39.9348375438271,39.7828919821237,40.2380904798605,40.9616079019469,40.9926166151472,40.9759053507313,41.6363826591984,41.1172343788487,41.0479645062557,41.8501722578627,41.6371376489339,42.0509116783262,42.0495307071457,42.0379031790017,41.8253145457846,42.4769826880542,42.488065246983,42.7317373096738,42.7841680160613,43.0985185076376,43.12558246902,43.378471843754,43.9733069547915,43.9856426388578,44.2682016066532,44.3971341817075,44.4342552576328,44.7889406476214,44.6978574468421,45.1611776590922,45.2066423736273,45.4319525953186,45.9308859445445,46.1374386126199,46.2997809493633,46.5477957967011,46.782679361375,47.0091767701498,46.9799270741008,47.3483023868634,47.3245753013746,47.3950759580588,47.59357038928,47.6896050572059,47.7528228908274,48.0076978755496,48.1569010354169,48.1954663927456,48.0627795702687,48.9398822354403,48.8626815246229,49.2063376453979,49.3683509674087,49.3388089888334,49.4430347611179,49.6310165138667,49.9507267393232,49.7941962878167,49.989610727281,50.3568326187788,50.081134428252,50.2678870269986,50.2200917047981],"text":["Age: 36 ex_fr_female$Type: Predicted Year: 1816 Ex: 29.630083","Age: 36 ex_fr_female$Type: Predicted Year: 1817 Ex: 29.544095","Age: 36 ex_fr_female$Type: Predicted Year: 1818 Ex: 29.505291","Age: 36 ex_fr_female$Type: Predicted Year: 1819 Ex: 29.669371","Age: 36 ex_fr_female$Type: Predicted Year: 1820 Ex: 29.461166","Age: 36 ex_fr_female$Type: Predicted Year: 1821 Ex: 30.559466","Age: 36 ex_fr_female$Type: Predicted Year: 1822 Ex: 30.641507","Age: 36 ex_fr_female$Type: Predicted Year: 1823 Ex: 30.922205","Age: 36 ex_fr_female$Type: Predicted Year: 1824 Ex: 30.970881","Age: 36 ex_fr_female$Type: Predicted Year: 1825 Ex: 30.423248","Age: 36 ex_fr_female$Type: Predicted Year: 1826 Ex: 29.869363","Age: 36 ex_fr_female$Type: Predicted Year: 1827 Ex: 30.132735","Age: 36 ex_fr_female$Type: Predicted Year: 1828 Ex: 29.857577","Age: 36 ex_fr_female$Type: Predicted Year: 1829 Ex: 29.884767","Age: 36 ex_fr_female$Type: Predicted Year: 1830 Ex: 29.882113","Age: 36 ex_fr_female$Type: Predicted Year: 1831 Ex: 30.402299","Age: 36 ex_fr_female$Type: Predicted Year: 1832 Ex: 27.110937","Age: 36 ex_fr_female$Type: Predicted Year: 1833 Ex: 29.969332","Age: 36 ex_fr_female$Type: Predicted Year: 1834 Ex: 29.215225","Age: 36 ex_fr_female$Type: Predicted Year: 1835 Ex: 29.993837","Age: 36 ex_fr_female$Type: Predicted Year: 1836 Ex: 30.880578","Age: 36 ex_fr_female$Type: Predicted Year: 1837 Ex: 28.797829","Age: 36 ex_fr_female$Type: Predicted Year: 1838 Ex: 30.103396","Age: 36 ex_fr_female$Type: Predicted Year: 1839 Ex: 30.798656","Age: 36 ex_fr_female$Type: Predicted Year: 1840 Ex: 30.086490","Age: 36 ex_fr_female$Type: Predicted Year: 1841 Ex: 30.992800","Age: 36 ex_fr_female$Type: Predicted Year: 1842 Ex: 30.287919","Age: 36 ex_fr_female$Type: Predicted Year: 1843 Ex: 30.818014","Age: 36 ex_fr_female$Type: Predicted Year: 1844 Ex: 30.987724","Age: 36 ex_fr_female$Type: Predicted Year: 1845 Ex: 31.405204","Age: 36 ex_fr_female$Type: Predicted Year: 1846 Ex: 30.879353","Age: 36 ex_fr_female$Type: Predicted Year: 1847 Ex: 29.644796","Age: 36 ex_fr_female$Type: Predicted Year: 1848 Ex: 29.979566","Age: 36 ex_fr_female$Type: Predicted Year: 1849 Ex: 27.960451","Age: 36 ex_fr_female$Type: Predicted Year: 1850 Ex: 31.036752","Age: 36 ex_fr_female$Type: Predicted Year: 1851 Ex: 30.880843","Age: 36 ex_fr_female$Type: Predicted Year: 1852 Ex: 30.812703","Age: 36 ex_fr_female$Type: Predicted Year: 1853 Ex: 30.741259","Age: 36 ex_fr_female$Type: Predicted Year: 1854 Ex: 27.712302","Age: 36 ex_fr_female$Type: Predicted Year: 1855 Ex: 29.392575","Age: 36 ex_fr_female$Type: Predicted Year: 1856 Ex: 30.881671","Age: 36 ex_fr_female$Type: Predicted Year: 1857 Ex: 30.342808","Age: 36 ex_fr_female$Type: Predicted Year: 1858 Ex: 29.764295","Age: 36 ex_fr_female$Type: Predicted Year: 1859 Ex: 29.856948","Age: 36 ex_fr_female$Type: Predicted Year: 1860 Ex: 31.316312","Age: 36 ex_fr_female$Type: Predicted Year: 1861 Ex: 31.205432","Age: 36 ex_fr_female$Type: Predicted Year: 1862 Ex: 31.471909","Age: 36 ex_fr_female$Type: Predicted Year: 1863 Ex: 31.254827","Age: 36 ex_fr_female$Type: Predicted Year: 1864 Ex: 30.905263","Age: 36 ex_fr_female$Type: Predicted Year: 1865 Ex: 30.515674","Age: 36 ex_fr_female$Type: Predicted Year: 1866 Ex: 30.495704","Age: 36 ex_fr_female$Type: Predicted Year: 1867 Ex: 31.052912","Age: 36 ex_fr_female$Type: Predicted Year: 1868 Ex: 30.756083","Age: 36 ex_fr_female$Type: Predicted Year: 1869 Ex: 30.893899","Age: 36 ex_fr_female$Type: Predicted Year: 1870 Ex: 29.018018","Age: 36 ex_fr_female$Type: Predicted Year: 1871 Ex: 26.861385","Age: 36 ex_fr_female$Type: Predicted Year: 1872 Ex: 31.766185","Age: 36 ex_fr_female$Type: Predicted Year: 1873 Ex: 31.227186","Age: 36 ex_fr_female$Type: Predicted Year: 1874 Ex: 31.827576","Age: 36 ex_fr_female$Type: Predicted Year: 1875 Ex: 30.963560","Age: 36 ex_fr_female$Type: Predicted Year: 1876 Ex: 31.490645","Age: 36 ex_fr_female$Type: Predicted Year: 1877 Ex: 31.913343","Age: 36 ex_fr_female$Type: Predicted Year: 1878 Ex: 31.476196","Age: 36 ex_fr_female$Type: Predicted Year: 1879 Ex: 31.231657","Age: 36 ex_fr_female$Type: Predicted Year: 1880 Ex: 31.434755","Age: 36 ex_fr_female$Type: Predicted Year: 1881 Ex: 31.848347","Age: 36 ex_fr_female$Type: Predicted Year: 1882 Ex: 31.694787","Age: 36 ex_fr_female$Type: Predicted Year: 1883 Ex: 31.637448","Age: 36 ex_fr_female$Type: Predicted Year: 1884 Ex: 31.652956","Age: 36 ex_fr_female$Type: Predicted Year: 1885 Ex: 31.711001","Age: 36 ex_fr_female$Type: Predicted Year: 1886 Ex: 31.577284","Age: 36 ex_fr_female$Type: Predicted Year: 1887 Ex: 31.528043","Age: 36 ex_fr_female$Type: Predicted Year: 1888 Ex: 31.958975","Age: 36 ex_fr_female$Type: Predicted Year: 1889 Ex: 32.379933","Age: 36 ex_fr_female$Type: Predicted Year: 1890 Ex: 31.398782","Age: 36 ex_fr_female$Type: Predicted Year: 1891 Ex: 31.161806","Age: 36 ex_fr_female$Type: Predicted Year: 1892 Ex: 31.346564","Age: 36 ex_fr_female$Type: Predicted Year: 1893 Ex: 31.463050","Age: 36 ex_fr_female$Type: Predicted Year: 1894 Ex: 32.078993","Age: 36 ex_fr_female$Type: Predicted Year: 1895 Ex: 31.637800","Age: 36 ex_fr_female$Type: Predicted Year: 1896 Ex: 32.672360","Age: 36 ex_fr_female$Type: Predicted Year: 1897 Ex: 33.146878","Age: 36 ex_fr_female$Type: Predicted Year: 1898 Ex: 32.311961","Age: 36 ex_fr_female$Type: Predicted Year: 1899 Ex: 32.225099","Age: 36 ex_fr_female$Type: Predicted Year: 1900 Ex: 31.383031","Age: 36 ex_fr_female$Type: Predicted Year: 1901 Ex: 32.342021","Age: 36 ex_fr_female$Type: Predicted Year: 1902 Ex: 32.695658","Age: 36 ex_fr_female$Type: Predicted Year: 1903 Ex: 32.839437","Age: 36 ex_fr_female$Type: Predicted Year: 1904 Ex: 32.856541","Age: 36 ex_fr_female$Type: Predicted Year: 1905 Ex: 32.477561","Age: 36 ex_fr_female$Type: Predicted Year: 1906 Ex: 32.507011","Age: 36 ex_fr_female$Type: Predicted Year: 1907 Ex: 32.044325","Age: 36 ex_fr_female$Type: Predicted Year: 1908 Ex: 32.859736","Age: 36 ex_fr_female$Type: Predicted Year: 1909 Ex: 32.460793","Age: 36 ex_fr_female$Type: Predicted Year: 1910 Ex: 33.397436","Age: 36 ex_fr_female$Type: Predicted Year: 1911 Ex: 32.840570","Age: 36 ex_fr_female$Type: Predicted Year: 1912 Ex: 33.589986","Age: 36 ex_fr_female$Type: Predicted Year: 1913 Ex: 33.637346","Age: 36 ex_fr_female$Type: Predicted Year: 1914 Ex: 32.931557","Age: 36 ex_fr_female$Type: Predicted Year: 1915 Ex: 32.922939","Age: 36 ex_fr_female$Type: Predicted Year: 1916 Ex: 33.356485","Age: 36 ex_fr_female$Type: Predicted Year: 1917 Ex: 33.316749","Age: 36 ex_fr_female$Type: Predicted Year: 1918 Ex: 31.091548","Age: 36 ex_fr_female$Type: Predicted Year: 1919 Ex: 33.032354","Age: 36 ex_fr_female$Type: Predicted Year: 1920 Ex: 34.357090","Age: 36 ex_fr_female$Type: Predicted Year: 1921 Ex: 34.273450","Age: 36 ex_fr_female$Type: Predicted Year: 1922 Ex: 33.899929","Age: 36 ex_fr_female$Type: Predicted Year: 1923 Ex: 34.670160","Age: 36 ex_fr_female$Type: Predicted Year: 1924 Ex: 34.363972","Age: 36 ex_fr_female$Type: Predicted Year: 1925 Ex: 34.241642","Age: 36 ex_fr_female$Type: Predicted Year: 1926 Ex: 34.304955","Age: 36 ex_fr_female$Type: Predicted Year: 1927 Ex: 34.806142","Age: 36 ex_fr_female$Type: Predicted Year: 1928 Ex: 35.056430","Age: 36 ex_fr_female$Type: Predicted Year: 1929 Ex: 34.016378","Age: 36 ex_fr_female$Type: Predicted Year: 1930 Ex: 35.424084","Age: 36 ex_fr_female$Type: Predicted Year: 1931 Ex: 34.903226","Age: 36 ex_fr_female$Type: Predicted Year: 1932 Ex: 35.243467","Age: 36 ex_fr_female$Type: Predicted Year: 1933 Ex: 35.227408","Age: 36 ex_fr_female$Type: Predicted Year: 1934 Ex: 35.874595","Age: 36 ex_fr_female$Type: Predicted Year: 1935 Ex: 35.335965","Age: 36 ex_fr_female$Type: Predicted Year: 1936 Ex: 35.731072","Age: 36 ex_fr_female$Type: Predicted Year: 1937 Ex: 36.104192","Age: 36 ex_fr_female$Type: Predicted Year: 1938 Ex: 35.858031","Age: 36 ex_fr_female$Type: Predicted Year: 1939 Ex: 35.947925","Age: 36 ex_fr_female$Type: Predicted Year: 1940 Ex: 34.331933","Age: 36 ex_fr_female$Type: Predicted Year: 1941 Ex: 35.484054","Age: 36 ex_fr_female$Type: Predicted Year: 1942 Ex: 35.921161","Age: 36 ex_fr_female$Type: Predicted Year: 1943 Ex: 35.794614","Age: 36 ex_fr_female$Type: Predicted Year: 1944 Ex: 33.744753","Age: 36 ex_fr_female$Type: Predicted Year: 1945 Ex: 36.380485","Age: 36 ex_fr_female$Type: Predicted Year: 1946 Ex: 38.436233","Age: 36 ex_fr_female$Type: Predicted Year: 1947 Ex: 38.840277","Age: 36 ex_fr_female$Type: Predicted Year: 1948 Ex: 39.396234","Age: 36 ex_fr_female$Type: Predicted Year: 1949 Ex: 38.328525","Age: 36 ex_fr_female$Type: Predicted Year: 1950 Ex: 39.101646","Age: 36 ex_fr_female$Type: Predicted Year: 1951 Ex: 38.640810","Age: 36 ex_fr_female$Type: Predicted Year: 1952 Ex: 39.479111","Age: 36 ex_fr_female$Type: Predicted Year: 1953 Ex: 38.969197","Age: 36 ex_fr_female$Type: Predicted Year: 1954 Ex: 39.854693","Age: 36 ex_fr_female$Type: Predicted Year: 1955 Ex: 39.934838","Age: 36 ex_fr_female$Type: Predicted Year: 1956 Ex: 39.782892","Age: 36 ex_fr_female$Type: Predicted Year: 1957 Ex: 40.238090","Age: 36 ex_fr_female$Type: Predicted Year: 1958 Ex: 40.961608","Age: 36 ex_fr_female$Type: Predicted Year: 1959 Ex: 40.992617","Age: 36 ex_fr_female$Type: Predicted Year: 1960 Ex: 40.975905","Age: 36 ex_fr_female$Type: Predicted Year: 1961 Ex: 41.636383","Age: 36 ex_fr_female$Type: Predicted Year: 1962 Ex: 41.117234","Age: 36 ex_fr_female$Type: Predicted Year: 1963 Ex: 41.047965","Age: 36 ex_fr_female$Type: Predicted Year: 1964 Ex: 41.850172","Age: 36 ex_fr_female$Type: Predicted Year: 1965 Ex: 41.637138","Age: 36 ex_fr_female$Type: Predicted Year: 1966 Ex: 42.050912","Age: 36 ex_fr_female$Type: Predicted Year: 1967 Ex: 42.049531","Age: 36 ex_fr_female$Type: Predicted Year: 1968 Ex: 42.037903","Age: 36 ex_fr_female$Type: Predicted Year: 1969 Ex: 41.825315","Age: 36 ex_fr_female$Type: Predicted Year: 1970 Ex: 42.476983","Age: 36 ex_fr_female$Type: Predicted Year: 1971 Ex: 42.488065","Age: 36 ex_fr_female$Type: Predicted Year: 1972 Ex: 42.731737","Age: 36 ex_fr_female$Type: Predicted Year: 1973 Ex: 42.784168","Age: 36 ex_fr_female$Type: Predicted Year: 1974 Ex: 43.098519","Age: 36 ex_fr_female$Type: Predicted Year: 1975 Ex: 43.125582","Age: 36 ex_fr_female$Type: Predicted Year: 1976 Ex: 43.378472","Age: 36 ex_fr_female$Type: Predicted Year: 1977 Ex: 43.973307","Age: 36 ex_fr_female$Type: Predicted Year: 1978 Ex: 43.985643","Age: 36 ex_fr_female$Type: Predicted Year: 1979 Ex: 44.268202","Age: 36 ex_fr_female$Type: Predicted Year: 1980 Ex: 44.397134","Age: 36 ex_fr_female$Type: Predicted Year: 1981 Ex: 44.434255","Age: 36 ex_fr_female$Type: Predicted Year: 1982 Ex: 44.788941","Age: 36 ex_fr_female$Type: Predicted Year: 1983 Ex: 44.697857","Age: 36 ex_fr_female$Type: Predicted Year: 1984 Ex: 45.161178","Age: 36 ex_fr_female$Type: Predicted Year: 1985 Ex: 45.206642","Age: 36 ex_fr_female$Type: Predicted Year: 1986 Ex: 45.431953","Age: 36 ex_fr_female$Type: Predicted Year: 1987 Ex: 45.930886","Age: 36 ex_fr_female$Type: Predicted Year: 1988 Ex: 46.137439","Age: 36 ex_fr_female$Type: Predicted Year: 1989 Ex: 46.299781","Age: 36 ex_fr_female$Type: Predicted Year: 1990 Ex: 46.547796","Age: 36 ex_fr_female$Type: Predicted Year: 1991 Ex: 46.782679","Age: 36 ex_fr_female$Type: Predicted Year: 1992 Ex: 47.009177","Age: 36 ex_fr_female$Type: Predicted Year: 1993 Ex: 46.979927","Age: 36 ex_fr_female$Type: Predicted Year: 1994 Ex: 47.348302","Age: 36 ex_fr_female$Type: Predicted Year: 1995 Ex: 47.324575","Age: 36 ex_fr_female$Type: Predicted Year: 1996 Ex: 47.395076","Age: 36 ex_fr_female$Type: Predicted Year: 1997 Ex: 47.593570","Age: 36 ex_fr_female$Type: Predicted Year: 1998 Ex: 47.689605","Age: 36 ex_fr_female$Type: Predicted Year: 1999 Ex: 47.752823","Age: 36 ex_fr_female$Type: Predicted Year: 2000 Ex: 48.007698","Age: 36 ex_fr_female$Type: Predicted Year: 2001 Ex: 48.156901","Age: 36 ex_fr_female$Type: Predicted Year: 2002 Ex: 48.195466","Age: 36 ex_fr_female$Type: Predicted Year: 2003 Ex: 48.062780","Age: 36 ex_fr_female$Type: Predicted Year: 2004 Ex: 48.939882","Age: 36 ex_fr_female$Type: Predicted Year: 2005 Ex: 48.862682","Age: 36 ex_fr_female$Type: Predicted Year: 2006 Ex: 49.206338","Age: 36 ex_fr_female$Type: Predicted Year: 2007 Ex: 49.368351","Age: 36 ex_fr_female$Type: Predicted Year: 2008 Ex: 49.338809","Age: 36 ex_fr_female$Type: Predicted Year: 2009 Ex: 49.443035","Age: 36 ex_fr_female$Type: Predicted Year: 2010 Ex: 49.631017","Age: 36 ex_fr_female$Type: Predicted Year: 2011 Ex: 49.950727","Age: 36 ex_fr_female$Type: Predicted Year: 2012 Ex: 49.794196","Age: 36 ex_fr_female$Type: Predicted Year: 2013 Ex: 49.989611","Age: 36 ex_fr_female$Type: Predicted Year: 2014 Ex: 50.356833","Age: 36 ex_fr_female$Type: Predicted Year: 2015 Ex: 50.081134","Age: 36 ex_fr_female$Type: Predicted Year: 2016 Ex: 50.267887","Age: 36 ex_fr_female$Type: Predicted Year: 2017 Ex: 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31.100000","Age: 37 ex_fr_female$Type: Observed Year: 1895 Ex: 30.650000","Age: 37 ex_fr_female$Type: Observed Year: 1896 Ex: 31.670000","Age: 37 ex_fr_female$Type: Observed Year: 1897 Ex: 32.140000","Age: 37 ex_fr_female$Type: Observed Year: 1898 Ex: 31.310000","Age: 37 ex_fr_female$Type: Observed Year: 1899 Ex: 31.240000","Age: 37 ex_fr_female$Type: Observed Year: 1900 Ex: 30.400000","Age: 37 ex_fr_female$Type: Observed Year: 1901 Ex: 31.350000","Age: 37 ex_fr_female$Type: Observed Year: 1902 Ex: 31.690000","Age: 37 ex_fr_female$Type: Observed Year: 1903 Ex: 31.830000","Age: 37 ex_fr_female$Type: Observed Year: 1904 Ex: 31.840000","Age: 37 ex_fr_female$Type: Observed Year: 1905 Ex: 31.470000","Age: 37 ex_fr_female$Type: Observed Year: 1906 Ex: 31.510000","Age: 37 ex_fr_female$Type: Observed Year: 1907 Ex: 31.060000","Age: 37 ex_fr_female$Type: Observed Year: 1908 Ex: 31.850000","Age: 37 ex_fr_female$Type: Observed Year: 1909 Ex: 31.440000","Age: 37 ex_fr_female$Type: Observed Year: 1910 Ex: 32.390000","Age: 37 ex_fr_female$Type: Observed Year: 1911 Ex: 31.820000","Age: 37 ex_fr_female$Type: Observed Year: 1912 Ex: 32.560000","Age: 37 ex_fr_female$Type: Observed Year: 1913 Ex: 32.610000","Age: 37 ex_fr_female$Type: Observed Year: 1914 Ex: 31.910000","Age: 37 ex_fr_female$Type: Observed Year: 1915 Ex: 31.900000","Age: 37 ex_fr_female$Type: Observed Year: 1916 Ex: 32.320000","Age: 37 ex_fr_female$Type: Observed Year: 1917 Ex: 32.270000","Age: 37 ex_fr_female$Type: Observed Year: 1918 Ex: 30.250000","Age: 37 ex_fr_female$Type: Observed Year: 1919 Ex: 32.050000","Age: 37 ex_fr_female$Type: Observed Year: 1920 Ex: 33.340000","Age: 37 ex_fr_female$Type: Observed Year: 1921 Ex: 33.230000","Age: 37 ex_fr_female$Type: Observed Year: 1922 Ex: 32.850000","Age: 37 ex_fr_female$Type: Observed Year: 1923 Ex: 33.610000","Age: 37 ex_fr_female$Type: Observed Year: 1924 Ex: 33.300000","Age: 37 ex_fr_female$Type: Observed Year: 1925 Ex: 33.190000","Age: 37 ex_fr_female$Type: Observed Year: 1926 Ex: 33.240000","Age: 37 ex_fr_female$Type: Observed Year: 1927 Ex: 33.730000","Age: 37 ex_fr_female$Type: Observed Year: 1928 Ex: 33.990000","Age: 37 ex_fr_female$Type: Observed Year: 1929 Ex: 32.950000","Age: 37 ex_fr_female$Type: Observed Year: 1930 Ex: 34.350000","Age: 37 ex_fr_female$Type: Observed Year: 1931 Ex: 33.830000","Age: 37 ex_fr_female$Type: Observed Year: 1932 Ex: 34.160000","Age: 37 ex_fr_female$Type: Observed Year: 1933 Ex: 34.140000","Age: 37 ex_fr_female$Type: Observed Year: 1934 Ex: 34.780000","Age: 37 ex_fr_female$Type: Observed Year: 1935 Ex: 34.250000","Age: 37 ex_fr_female$Type: Observed Year: 1936 Ex: 34.640000","Age: 37 ex_fr_female$Type: Observed Year: 1937 Ex: 35.010000","Age: 37 ex_fr_female$Type: Observed Year: 1938 Ex: 34.760000","Age: 37 ex_fr_female$Type: Observed Year: 1939 Ex: 34.840000","Age: 37 ex_fr_female$Type: Observed Year: 1940 Ex: 33.240000","Age: 37 ex_fr_female$Type: Observed Year: 1941 Ex: 34.390000","Age: 37 ex_fr_female$Type: Observed Year: 1942 Ex: 34.830000","Age: 37 ex_fr_female$Type: Observed Year: 1943 Ex: 34.760000","Age: 37 ex_fr_female$Type: Observed Year: 1944 Ex: 32.790000","Age: 37 ex_fr_female$Type: Observed Year: 1945 Ex: 35.290000","Age: 37 ex_fr_female$Type: Observed Year: 1946 Ex: 37.300000","Age: 37 ex_fr_female$Type: Observed Year: 1947 Ex: 37.690000","Age: 37 ex_fr_female$Type: Observed Year: 1948 Ex: 38.240000","Age: 37 ex_fr_female$Type: Observed Year: 1949 Ex: 37.170000","Age: 37 ex_fr_female$Type: Observed Year: 1950 Ex: 37.940000","Age: 37 ex_fr_female$Type: Observed Year: 1951 Ex: 37.470000","Age: 37 ex_fr_female$Type: Observed Year: 1952 Ex: 38.290000","Age: 37 ex_fr_female$Type: Observed Year: 1953 Ex: 37.800000","Age: 37 ex_fr_female$Type: Observed Year: 1954 Ex: 38.680000","Age: 37 ex_fr_female$Type: Observed Year: 1955 Ex: 38.750000","Age: 37 ex_fr_female$Type: Observed Year: 1956 Ex: 38.610000","Age: 37 ex_fr_female$Type: Observed Year: 1957 Ex: 39.050000","Age: 37 ex_fr_female$Type: Observed Year: 1958 Ex: 39.770000","Age: 37 ex_fr_female$Type: Observed Year: 1959 Ex: 39.800000","Age: 37 ex_fr_female$Type: Observed Year: 1960 Ex: 39.780000","Age: 37 ex_fr_female$Type: Observed Year: 1961 Ex: 40.440000","Age: 37 ex_fr_female$Type: Observed Year: 1962 Ex: 39.920000","Age: 37 ex_fr_female$Type: Observed Year: 1963 Ex: 39.850000","Age: 37 ex_fr_female$Type: Observed Year: 1964 Ex: 40.650000","Age: 37 ex_fr_female$Type: Observed Year: 1965 Ex: 40.440000","Age: 37 ex_fr_female$Type: Observed Year: 1966 Ex: 40.850000","Age: 37 ex_fr_female$Type: Observed Year: 1967 Ex: 40.850000","Age: 37 ex_fr_female$Type: Observed Year: 1968 Ex: 40.840000","Age: 37 ex_fr_female$Type: Observed Year: 1969 Ex: 40.620000","Age: 37 ex_fr_female$Type: Observed Year: 1970 Ex: 41.280000","Age: 37 ex_fr_female$Type: Observed Year: 1971 Ex: 41.280000","Age: 37 ex_fr_female$Type: Observed Year: 1972 Ex: 41.530000","Age: 37 ex_fr_female$Type: Observed Year: 1973 Ex: 41.580000","Age: 37 ex_fr_female$Type: Observed Year: 1974 Ex: 41.890000","Age: 37 ex_fr_female$Type: Observed Year: 1975 Ex: 41.920000","Age: 37 ex_fr_female$Type: Observed Year: 1976 Ex: 42.170000","Age: 37 ex_fr_female$Type: Observed Year: 1977 Ex: 42.760000","Age: 37 ex_fr_female$Type: Observed Year: 1978 Ex: 42.780000","Age: 37 ex_fr_female$Type: Observed Year: 1979 Ex: 43.060000","Age: 37 ex_fr_female$Type: Observed Year: 1980 Ex: 43.190000","Age: 37 ex_fr_female$Type: Observed Year: 1981 Ex: 43.230000","Age: 37 ex_fr_female$Type: Observed Year: 1982 Ex: 43.580000","Age: 37 ex_fr_female$Type: Observed Year: 1983 Ex: 43.480000","Age: 37 ex_fr_female$Type: Observed Year: 1984 Ex: 43.950000","Age: 37 ex_fr_female$Type: Observed Year: 1985 Ex: 44.000000","Age: 37 ex_fr_female$Type: Observed Year: 1986 Ex: 44.220000","Age: 37 ex_fr_female$Type: Observed Year: 1987 Ex: 44.720000","Age: 37 ex_fr_female$Type: Observed Year: 1988 Ex: 44.930000","Age: 37 ex_fr_female$Type: Observed Year: 1989 Ex: 45.090000","Age: 37 ex_fr_female$Type: Observed Year: 1990 Ex: 45.340000","Age: 37 ex_fr_female$Type: Observed Year: 1991 Ex: 45.570000","Age: 37 ex_fr_female$Type: Observed Year: 1992 Ex: 45.800000","Age: 37 ex_fr_female$Type: Observed Year: 1993 Ex: 45.770000","Age: 37 ex_fr_female$Type: Observed Year: 1994 Ex: 46.140000","Age: 37 ex_fr_female$Type: Observed Year: 1995 Ex: 46.110000","Age: 37 ex_fr_female$Type: Observed Year: 1996 Ex: 46.180000","Age: 37 ex_fr_female$Type: Observed Year: 1997 Ex: 46.380000","Age: 37 ex_fr_female$Type: Observed Year: 1998 Ex: 46.470000","Age: 37 ex_fr_female$Type: Observed Year: 1999 Ex: 46.540000","Age: 37 ex_fr_female$Type: Observed Year: 2000 Ex: 46.800000","Age: 37 ex_fr_female$Type: Observed Year: 2001 Ex: 46.940000","Age: 37 ex_fr_female$Type: Observed Year: 2002 Ex: 46.980000","Age: 37 ex_fr_female$Type: Observed Year: 2003 Ex: 46.840000","Age: 37 ex_fr_female$Type: Observed Year: 2004 Ex: 47.720000","Age: 37 ex_fr_female$Type: Observed Year: 2005 Ex: 47.640000","Age: 37 ex_fr_female$Type: Observed Year: 2006 Ex: 47.980000","Age: 37 ex_fr_female$Type: Observed Year: 2007 Ex: 48.140000","Age: 37 ex_fr_female$Type: Observed Year: 2008 Ex: 48.110000","Age: 37 ex_fr_female$Type: Observed Year: 2009 Ex: 48.220000","Age: 37 ex_fr_female$Type: Observed Year: 2010 Ex: 48.410000","Age: 37 ex_fr_female$Type: Observed Year: 2011 Ex: 48.720000","Age: 37 ex_fr_female$Type: Observed Year: 2012 Ex: 48.570000","Age: 37 ex_fr_female$Type: Observed Year: 2013 Ex: 48.760000","Age: 37 ex_fr_female$Type: Observed Year: 2014 Ex: 49.130000","Age: 37 ex_fr_female$Type: Observed Year: 2015 Ex: 48.860000","Age: 37 ex_fr_female$Type: Observed Year: 2016 Ex: 49.040000","Age: 37 ex_fr_female$Type: Observed Year: 2017 Ex: 48.990000"],"frame":"37","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[28.9487520152109,28.8618228014613,28.8384333219687,28.9990881909163,28.7747663400436,29.877667815435,29.9538764582084,30.2156664253011,30.2801987599877,29.7508960518127,29.2031220523557,29.470386538368,29.2042697242156,29.210975685402,29.1931441606499,29.7079596144416,26.4863860080105,29.3292743664225,28.5787490641264,29.3382595185997,30.200029152308,28.1423171795399,29.4353247616768,30.1144908221906,29.4086560842362,30.3048043425875,29.6017413009566,30.1340507474424,30.3036807625664,30.7148725833959,30.2049320116831,28.9704031394133,29.3110000982034,27.3587496494722,30.3470466729716,30.1978417023266,30.1366490022336,30.0574115870721,27.0923721744903,28.7223771452331,30.1965291971217,29.6505743370078,29.0743749393082,29.1775053832699,30.60953085207,30.5019361158081,30.7631687434504,30.5471506678956,30.1988685998787,29.830378532248,29.8171715790247,30.3457837146948,30.0653601133704,30.2030499010577,28.378467547095,26.3165879784063,31.0741023280611,30.526382056238,31.1139604267194,30.2749579372016,30.7942840609327,31.2125596490045,30.7612432245774,30.5203479500031,30.7362846775589,31.1516923068387,31.0010563780421,30.9469276214079,30.9795842141152,31.024994862982,30.8773787713904,30.8148205253748,31.2294217616694,31.6556057313413,30.6753218429838,30.4337501506423,30.614234246818,30.7376658318822,31.3549307310482,30.910196289194,31.925908608103,32.4018627792942,31.5732517644223,31.4965535485618,30.6603644883913,31.6042000578782,31.9506879839107,32.0900652142278,32.1004543666958,31.7318301689587,31.7682901820966,31.3215506792178,32.1049777641688,31.6975368634812,32.6470843168326,32.0778471878916,32.8180977703319,32.8664518359918,32.1623151372767,32.1621269804403,32.5747168021428,32.5307535023783,30.5126126811844,32.3008739722705,33.5928760476288,33.4902935838567,33.1022760496815,33.8696111623902,33.5582298736254,33.4467378768657,33.4988742810152,33.9894827683167,34.2480569102306,33.2089784122549,34.6089713723698,34.0846640820348,34.4116844607649,34.3990366928806,35.0394705719664,34.5056798133523,34.8945701573491,35.2604807287697,35.0153696047934,35.0988994769043,33.4967568308379,34.6383232159097,35.0784245827348,35.0155413556792,33.040947837461,35.5477185639414,37.5604873900024,37.9473958779249,38.4986662786056,37.4266283640043,38.1963363875006,37.7286343766363,38.5508983973547,38.0535365781685,38.9366355730403,39.0106251880497,38.8635045385574,39.3076930404407,40.0247772823906,40.0582678315491,40.0374755201932,40.6936019985355,40.1782059591022,40.1031472622583,40.9089312213329,40.6984776823558,41.106211165017,41.1048283559226,41.0944331677174,40.8786586084691,41.5315882591699,41.5384811748361,41.7896344493287,41.8391731878438,42.1445497645046,42.1737766068979,42.424805613581,43.0194130964186,43.0330678360666,43.3159349610826,43.4463265197003,43.4861282839223,43.835911819429,43.740750171537,44.205861178511,44.2527139421299,44.4778065724942,44.974975287242,45.1830988813668,45.3433114182379,45.5920229096802,45.8229628157221,46.0519849045201,46.0217778413127,46.390484841116,46.3657990660963,46.4377699029256,46.6326742808181,46.7259550478463,46.7920590168191,47.0480965881967,47.1931340487489,47.2298194956655,47.0951332606313,47.972347832513,47.8931596145818,48.2370323069329,48.3962138683869,48.3666550460834,48.4694711377105,48.6585375890155,48.9759530426676,48.818849549276,49.0173326714327,49.3822660889493,49.107915471725,49.2917813474085,49.2424707813575],"text":["Age: 37 ex_fr_female$Type: Predicted Year: 1816 Ex: 28.948752","Age: 37 ex_fr_female$Type: Predicted Year: 1817 Ex: 28.861823","Age: 37 ex_fr_female$Type: Predicted Year: 1818 Ex: 28.838433","Age: 37 ex_fr_female$Type: Predicted Year: 1819 Ex: 28.999088","Age: 37 ex_fr_female$Type: Predicted Year: 1820 Ex: 28.774766","Age: 37 ex_fr_female$Type: Predicted Year: 1821 Ex: 29.877668","Age: 37 ex_fr_female$Type: Predicted Year: 1822 Ex: 29.953876","Age: 37 ex_fr_female$Type: Predicted Year: 1823 Ex: 30.215666","Age: 37 ex_fr_female$Type: Predicted Year: 1824 Ex: 30.280199","Age: 37 ex_fr_female$Type: Predicted Year: 1825 Ex: 29.750896","Age: 37 ex_fr_female$Type: Predicted Year: 1826 Ex: 29.203122","Age: 37 ex_fr_female$Type: Predicted Year: 1827 Ex: 29.470387","Age: 37 ex_fr_female$Type: Predicted Year: 1828 Ex: 29.204270","Age: 37 ex_fr_female$Type: Predicted Year: 1829 Ex: 29.210976","Age: 37 ex_fr_female$Type: Predicted Year: 1830 Ex: 29.193144","Age: 37 ex_fr_female$Type: Predicted Year: 1831 Ex: 29.707960","Age: 37 ex_fr_female$Type: Predicted Year: 1832 Ex: 26.486386","Age: 37 ex_fr_female$Type: Predicted Year: 1833 Ex: 29.329274","Age: 37 ex_fr_female$Type: Predicted Year: 1834 Ex: 28.578749","Age: 37 ex_fr_female$Type: Predicted Year: 1835 Ex: 29.338260","Age: 37 ex_fr_female$Type: Predicted Year: 1836 Ex: 30.200029","Age: 37 ex_fr_female$Type: Predicted Year: 1837 Ex: 28.142317","Age: 37 ex_fr_female$Type: Predicted Year: 1838 Ex: 29.435325","Age: 37 ex_fr_female$Type: Predicted Year: 1839 Ex: 30.114491","Age: 37 ex_fr_female$Type: Predicted Year: 1840 Ex: 29.408656","Age: 37 ex_fr_female$Type: Predicted Year: 1841 Ex: 30.304804","Age: 37 ex_fr_female$Type: Predicted Year: 1842 Ex: 29.601741","Age: 37 ex_fr_female$Type: Predicted Year: 1843 Ex: 30.134051","Age: 37 ex_fr_female$Type: Predicted Year: 1844 Ex: 30.303681","Age: 37 ex_fr_female$Type: Predicted Year: 1845 Ex: 30.714873","Age: 37 ex_fr_female$Type: Predicted Year: 1846 Ex: 30.204932","Age: 37 ex_fr_female$Type: Predicted Year: 1847 Ex: 28.970403","Age: 37 ex_fr_female$Type: Predicted Year: 1848 Ex: 29.311000","Age: 37 ex_fr_female$Type: Predicted Year: 1849 Ex: 27.358750","Age: 37 ex_fr_female$Type: Predicted Year: 1850 Ex: 30.347047","Age: 37 ex_fr_female$Type: Predicted Year: 1851 Ex: 30.197842","Age: 37 ex_fr_female$Type: Predicted Year: 1852 Ex: 30.136649","Age: 37 ex_fr_female$Type: Predicted Year: 1853 Ex: 30.057412","Age: 37 ex_fr_female$Type: Predicted Year: 1854 Ex: 27.092372","Age: 37 ex_fr_female$Type: Predicted Year: 1855 Ex: 28.722377","Age: 37 ex_fr_female$Type: Predicted Year: 1856 Ex: 30.196529","Age: 37 ex_fr_female$Type: Predicted Year: 1857 Ex: 29.650574","Age: 37 ex_fr_female$Type: Predicted Year: 1858 Ex: 29.074375","Age: 37 ex_fr_female$Type: Predicted Year: 1859 Ex: 29.177505","Age: 37 ex_fr_female$Type: Predicted Year: 1860 Ex: 30.609531","Age: 37 ex_fr_female$Type: Predicted Year: 1861 Ex: 30.501936","Age: 37 ex_fr_female$Type: Predicted Year: 1862 Ex: 30.763169","Age: 37 ex_fr_female$Type: Predicted Year: 1863 Ex: 30.547151","Age: 37 ex_fr_female$Type: Predicted Year: 1864 Ex: 30.198869","Age: 37 ex_fr_female$Type: Predicted Year: 1865 Ex: 29.830379","Age: 37 ex_fr_female$Type: Predicted Year: 1866 Ex: 29.817172","Age: 37 ex_fr_female$Type: Predicted Year: 1867 Ex: 30.345784","Age: 37 ex_fr_female$Type: Predicted Year: 1868 Ex: 30.065360","Age: 37 ex_fr_female$Type: Predicted Year: 1869 Ex: 30.203050","Age: 37 ex_fr_female$Type: Predicted Year: 1870 Ex: 28.378468","Age: 37 ex_fr_female$Type: Predicted Year: 1871 Ex: 26.316588","Age: 37 ex_fr_female$Type: Predicted Year: 1872 Ex: 31.074102","Age: 37 ex_fr_female$Type: Predicted Year: 1873 Ex: 30.526382","Age: 37 ex_fr_female$Type: Predicted Year: 1874 Ex: 31.113960","Age: 37 ex_fr_female$Type: Predicted Year: 1875 Ex: 30.274958","Age: 37 ex_fr_female$Type: Predicted Year: 1876 Ex: 30.794284","Age: 37 ex_fr_female$Type: Predicted Year: 1877 Ex: 31.212560","Age: 37 ex_fr_female$Type: Predicted Year: 1878 Ex: 30.761243","Age: 37 ex_fr_female$Type: Predicted Year: 1879 Ex: 30.520348","Age: 37 ex_fr_female$Type: Predicted Year: 1880 Ex: 30.736285","Age: 37 ex_fr_female$Type: Predicted Year: 1881 Ex: 31.151692","Age: 37 ex_fr_female$Type: Predicted Year: 1882 Ex: 31.001056","Age: 37 ex_fr_female$Type: Predicted Year: 1883 Ex: 30.946928","Age: 37 ex_fr_female$Type: Predicted Year: 1884 Ex: 30.979584","Age: 37 ex_fr_female$Type: Predicted Year: 1885 Ex: 31.024995","Age: 37 ex_fr_female$Type: Predicted Year: 1886 Ex: 30.877379","Age: 37 ex_fr_female$Type: Predicted Year: 1887 Ex: 30.814821","Age: 37 ex_fr_female$Type: Predicted Year: 1888 Ex: 31.229422","Age: 37 ex_fr_female$Type: Predicted Year: 1889 Ex: 31.655606","Age: 37 ex_fr_female$Type: Predicted Year: 1890 Ex: 30.675322","Age: 37 ex_fr_female$Type: Predicted Year: 1891 Ex: 30.433750","Age: 37 ex_fr_female$Type: Predicted Year: 1892 Ex: 30.614234","Age: 37 ex_fr_female$Type: Predicted Year: 1893 Ex: 30.737666","Age: 37 ex_fr_female$Type: Predicted Year: 1894 Ex: 31.354931","Age: 37 ex_fr_female$Type: Predicted Year: 1895 Ex: 30.910196","Age: 37 ex_fr_female$Type: Predicted Year: 1896 Ex: 31.925909","Age: 37 ex_fr_female$Type: Predicted Year: 1897 Ex: 32.401863","Age: 37 ex_fr_female$Type: Predicted Year: 1898 Ex: 31.573252","Age: 37 ex_fr_female$Type: Predicted Year: 1899 Ex: 31.496554","Age: 37 ex_fr_female$Type: Predicted Year: 1900 Ex: 30.660364","Age: 37 ex_fr_female$Type: Predicted Year: 1901 Ex: 31.604200","Age: 37 ex_fr_female$Type: Predicted Year: 1902 Ex: 31.950688","Age: 37 ex_fr_female$Type: Predicted Year: 1903 Ex: 32.090065","Age: 37 ex_fr_female$Type: Predicted Year: 1904 Ex: 32.100454","Age: 37 ex_fr_female$Type: Predicted Year: 1905 Ex: 31.731830","Age: 37 ex_fr_female$Type: Predicted Year: 1906 Ex: 31.768290","Age: 37 ex_fr_female$Type: Predicted Year: 1907 Ex: 31.321551","Age: 37 ex_fr_female$Type: Predicted Year: 1908 Ex: 32.104978","Age: 37 ex_fr_female$Type: Predicted Year: 1909 Ex: 31.697537","Age: 37 ex_fr_female$Type: Predicted Year: 1910 Ex: 32.647084","Age: 37 ex_fr_female$Type: Predicted Year: 1911 Ex: 32.077847","Age: 37 ex_fr_female$Type: Predicted Year: 1912 Ex: 32.818098","Age: 37 ex_fr_female$Type: Predicted Year: 1913 Ex: 32.866452","Age: 37 ex_fr_female$Type: Predicted Year: 1914 Ex: 32.162315","Age: 37 ex_fr_female$Type: Predicted Year: 1915 Ex: 32.162127","Age: 37 ex_fr_female$Type: Predicted Year: 1916 Ex: 32.574717","Age: 37 ex_fr_female$Type: Predicted Year: 1917 Ex: 32.530754","Age: 37 ex_fr_female$Type: Predicted Year: 1918 Ex: 30.512613","Age: 37 ex_fr_female$Type: Predicted Year: 1919 Ex: 32.300874","Age: 37 ex_fr_female$Type: Predicted Year: 1920 Ex: 33.592876","Age: 37 ex_fr_female$Type: Predicted Year: 1921 Ex: 33.490294","Age: 37 ex_fr_female$Type: Predicted Year: 1922 Ex: 33.102276","Age: 37 ex_fr_female$Type: Predicted Year: 1923 Ex: 33.869611","Age: 37 ex_fr_female$Type: Predicted Year: 1924 Ex: 33.558230","Age: 37 ex_fr_female$Type: Predicted Year: 1925 Ex: 33.446738","Age: 37 ex_fr_female$Type: Predicted Year: 1926 Ex: 33.498874","Age: 37 ex_fr_female$Type: Predicted Year: 1927 Ex: 33.989483","Age: 37 ex_fr_female$Type: Predicted Year: 1928 Ex: 34.248057","Age: 37 ex_fr_female$Type: Predicted Year: 1929 Ex: 33.208978","Age: 37 ex_fr_female$Type: Predicted Year: 1930 Ex: 34.608971","Age: 37 ex_fr_female$Type: Predicted Year: 1931 Ex: 34.084664","Age: 37 ex_fr_female$Type: Predicted Year: 1932 Ex: 34.411684","Age: 37 ex_fr_female$Type: Predicted Year: 1933 Ex: 34.399037","Age: 37 ex_fr_female$Type: Predicted Year: 1934 Ex: 35.039471","Age: 37 ex_fr_female$Type: Predicted Year: 1935 Ex: 34.505680","Age: 37 ex_fr_female$Type: Predicted Year: 1936 Ex: 34.894570","Age: 37 ex_fr_female$Type: Predicted Year: 1937 Ex: 35.260481","Age: 37 ex_fr_female$Type: Predicted Year: 1938 Ex: 35.015370","Age: 37 ex_fr_female$Type: Predicted Year: 1939 Ex: 35.098899","Age: 37 ex_fr_female$Type: Predicted Year: 1940 Ex: 33.496757","Age: 37 ex_fr_female$Type: Predicted Year: 1941 Ex: 34.638323","Age: 37 ex_fr_female$Type: Predicted Year: 1942 Ex: 35.078425","Age: 37 ex_fr_female$Type: Predicted Year: 1943 Ex: 35.015541","Age: 37 ex_fr_female$Type: Predicted Year: 1944 Ex: 33.040948","Age: 37 ex_fr_female$Type: Predicted Year: 1945 Ex: 35.547719","Age: 37 ex_fr_female$Type: Predicted Year: 1946 Ex: 37.560487","Age: 37 ex_fr_female$Type: Predicted Year: 1947 Ex: 37.947396","Age: 37 ex_fr_female$Type: Predicted Year: 1948 Ex: 38.498666","Age: 37 ex_fr_female$Type: Predicted Year: 1949 Ex: 37.426628","Age: 37 ex_fr_female$Type: Predicted Year: 1950 Ex: 38.196336","Age: 37 ex_fr_female$Type: Predicted Year: 1951 Ex: 37.728634","Age: 37 ex_fr_female$Type: Predicted Year: 1952 Ex: 38.550898","Age: 37 ex_fr_female$Type: Predicted Year: 1953 Ex: 38.053537","Age: 37 ex_fr_female$Type: Predicted Year: 1954 Ex: 38.936636","Age: 37 ex_fr_female$Type: Predicted Year: 1955 Ex: 39.010625","Age: 37 ex_fr_female$Type: Predicted Year: 1956 Ex: 38.863505","Age: 37 ex_fr_female$Type: Predicted Year: 1957 Ex: 39.307693","Age: 37 ex_fr_female$Type: Predicted Year: 1958 Ex: 40.024777","Age: 37 ex_fr_female$Type: Predicted Year: 1959 Ex: 40.058268","Age: 37 ex_fr_female$Type: Predicted Year: 1960 Ex: 40.037476","Age: 37 ex_fr_female$Type: Predicted Year: 1961 Ex: 40.693602","Age: 37 ex_fr_female$Type: Predicted Year: 1962 Ex: 40.178206","Age: 37 ex_fr_female$Type: Predicted Year: 1963 Ex: 40.103147","Age: 37 ex_fr_female$Type: Predicted Year: 1964 Ex: 40.908931","Age: 37 ex_fr_female$Type: Predicted Year: 1965 Ex: 40.698478","Age: 37 ex_fr_female$Type: Predicted Year: 1966 Ex: 41.106211","Age: 37 ex_fr_female$Type: Predicted Year: 1967 Ex: 41.104828","Age: 37 ex_fr_female$Type: Predicted Year: 1968 Ex: 41.094433","Age: 37 ex_fr_female$Type: Predicted Year: 1969 Ex: 40.878659","Age: 37 ex_fr_female$Type: Predicted Year: 1970 Ex: 41.531588","Age: 37 ex_fr_female$Type: Predicted Year: 1971 Ex: 41.538481","Age: 37 ex_fr_female$Type: Predicted Year: 1972 Ex: 41.789634","Age: 37 ex_fr_female$Type: Predicted Year: 1973 Ex: 41.839173","Age: 37 ex_fr_female$Type: Predicted Year: 1974 Ex: 42.144550","Age: 37 ex_fr_female$Type: Predicted Year: 1975 Ex: 42.173777","Age: 37 ex_fr_female$Type: Predicted Year: 1976 Ex: 42.424806","Age: 37 ex_fr_female$Type: Predicted Year: 1977 Ex: 43.019413","Age: 37 ex_fr_female$Type: Predicted Year: 1978 Ex: 43.033068","Age: 37 ex_fr_female$Type: Predicted Year: 1979 Ex: 43.315935","Age: 37 ex_fr_female$Type: Predicted Year: 1980 Ex: 43.446327","Age: 37 ex_fr_female$Type: Predicted Year: 1981 Ex: 43.486128","Age: 37 ex_fr_female$Type: Predicted Year: 1982 Ex: 43.835912","Age: 37 ex_fr_female$Type: Predicted Year: 1983 Ex: 43.740750","Age: 37 ex_fr_female$Type: Predicted Year: 1984 Ex: 44.205861","Age: 37 ex_fr_female$Type: Predicted Year: 1985 Ex: 44.252714","Age: 37 ex_fr_female$Type: Predicted Year: 1986 Ex: 44.477807","Age: 37 ex_fr_female$Type: Predicted Year: 1987 Ex: 44.974975","Age: 37 ex_fr_female$Type: Predicted Year: 1988 Ex: 45.183099","Age: 37 ex_fr_female$Type: Predicted Year: 1989 Ex: 45.343311","Age: 37 ex_fr_female$Type: Predicted Year: 1990 Ex: 45.592023","Age: 37 ex_fr_female$Type: Predicted Year: 1991 Ex: 45.822963","Age: 37 ex_fr_female$Type: Predicted Year: 1992 Ex: 46.051985","Age: 37 ex_fr_female$Type: Predicted Year: 1993 Ex: 46.021778","Age: 37 ex_fr_female$Type: Predicted Year: 1994 Ex: 46.390485","Age: 37 ex_fr_female$Type: Predicted Year: 1995 Ex: 46.365799","Age: 37 ex_fr_female$Type: Predicted Year: 1996 Ex: 46.437770","Age: 37 ex_fr_female$Type: Predicted Year: 1997 Ex: 46.632674","Age: 37 ex_fr_female$Type: Predicted Year: 1998 Ex: 46.725955","Age: 37 ex_fr_female$Type: Predicted Year: 1999 Ex: 46.792059","Age: 37 ex_fr_female$Type: Predicted Year: 2000 Ex: 47.048097","Age: 37 ex_fr_female$Type: Predicted Year: 2001 Ex: 47.193134","Age: 37 ex_fr_female$Type: Predicted Year: 2002 Ex: 47.229819","Age: 37 ex_fr_female$Type: Predicted Year: 2003 Ex: 47.095133","Age: 37 ex_fr_female$Type: Predicted Year: 2004 Ex: 47.972348","Age: 37 ex_fr_female$Type: Predicted Year: 2005 Ex: 47.893160","Age: 37 ex_fr_female$Type: Predicted Year: 2006 Ex: 48.237032","Age: 37 ex_fr_female$Type: Predicted Year: 2007 Ex: 48.396214","Age: 37 ex_fr_female$Type: Predicted Year: 2008 Ex: 48.366655","Age: 37 ex_fr_female$Type: Predicted Year: 2009 Ex: 48.469471","Age: 37 ex_fr_female$Type: Predicted Year: 2010 Ex: 48.658538","Age: 37 ex_fr_female$Type: Predicted Year: 2011 Ex: 48.975953","Age: 37 ex_fr_female$Type: Predicted Year: 2012 Ex: 48.818850","Age: 37 ex_fr_female$Type: Predicted Year: 2013 Ex: 49.017333","Age: 37 ex_fr_female$Type: Predicted Year: 2014 Ex: 49.382266","Age: 37 ex_fr_female$Type: Predicted Year: 2015 Ex: 49.107915","Age: 37 ex_fr_female$Type: Predicted Year: 2016 Ex: 49.291781","Age: 37 ex_fr_female$Type: Predicted Year: 2017 Ex: 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28.750000","Age: 38 ex_fr_female$Type: Observed Year: 1832 Ex: 25.570000","Age: 38 ex_fr_female$Type: Observed Year: 1833 Ex: 28.400000","Age: 38 ex_fr_female$Type: Observed Year: 1834 Ex: 27.670000","Age: 38 ex_fr_female$Type: Observed Year: 1835 Ex: 28.420000","Age: 38 ex_fr_female$Type: Observed Year: 1836 Ex: 29.250000","Age: 38 ex_fr_female$Type: Observed Year: 1837 Ex: 27.210000","Age: 38 ex_fr_female$Type: Observed Year: 1838 Ex: 28.490000","Age: 38 ex_fr_female$Type: Observed Year: 1839 Ex: 29.160000","Age: 38 ex_fr_female$Type: Observed Year: 1840 Ex: 28.460000","Age: 38 ex_fr_female$Type: Observed Year: 1841 Ex: 29.350000","Age: 38 ex_fr_female$Type: Observed Year: 1842 Ex: 28.640000","Age: 38 ex_fr_female$Type: Observed Year: 1843 Ex: 29.180000","Age: 38 ex_fr_female$Type: Observed Year: 1844 Ex: 29.350000","Age: 38 ex_fr_female$Type: Observed Year: 1845 Ex: 29.750000","Age: 38 ex_fr_female$Type: Observed Year: 1846 Ex: 29.260000","Age: 38 ex_fr_female$Type: Observed Year: 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ex_fr_female$Type: Observed Year: 1879 Ex: 29.540000","Age: 38 ex_fr_female$Type: Observed Year: 1880 Ex: 29.770000","Age: 38 ex_fr_female$Type: Observed Year: 1881 Ex: 30.190000","Age: 38 ex_fr_female$Type: Observed Year: 1882 Ex: 30.040000","Age: 38 ex_fr_female$Type: Observed Year: 1883 Ex: 29.980000","Age: 38 ex_fr_female$Type: Observed Year: 1884 Ex: 30.030000","Age: 38 ex_fr_female$Type: Observed Year: 1885 Ex: 30.080000","Age: 38 ex_fr_female$Type: Observed Year: 1886 Ex: 29.930000","Age: 38 ex_fr_female$Type: Observed Year: 1887 Ex: 29.840000","Age: 38 ex_fr_female$Type: Observed Year: 1888 Ex: 30.240000","Age: 38 ex_fr_female$Type: Observed Year: 1889 Ex: 30.660000","Age: 38 ex_fr_female$Type: Observed Year: 1890 Ex: 29.680000","Age: 38 ex_fr_female$Type: Observed Year: 1891 Ex: 29.430000","Age: 38 ex_fr_female$Type: Observed Year: 1892 Ex: 29.620000","Age: 38 ex_fr_female$Type: Observed Year: 1893 Ex: 29.750000","Age: 38 ex_fr_female$Type: Observed Year: 1894 Ex: 30.360000","Age: 38 ex_fr_female$Type: Observed Year: 1895 Ex: 29.920000","Age: 38 ex_fr_female$Type: Observed Year: 1896 Ex: 30.920000","Age: 38 ex_fr_female$Type: Observed Year: 1897 Ex: 31.380000","Age: 38 ex_fr_female$Type: Observed Year: 1898 Ex: 30.570000","Age: 38 ex_fr_female$Type: Observed Year: 1899 Ex: 30.500000","Age: 38 ex_fr_female$Type: Observed Year: 1900 Ex: 29.670000","Age: 38 ex_fr_female$Type: Observed Year: 1901 Ex: 30.610000","Age: 38 ex_fr_female$Type: Observed Year: 1902 Ex: 30.950000","Age: 38 ex_fr_female$Type: Observed Year: 1903 Ex: 31.080000","Age: 38 ex_fr_female$Type: Observed Year: 1904 Ex: 31.090000","Age: 38 ex_fr_female$Type: Observed Year: 1905 Ex: 30.720000","Age: 38 ex_fr_female$Type: Observed Year: 1906 Ex: 30.750000","Age: 38 ex_fr_female$Type: Observed Year: 1907 Ex: 30.310000","Age: 38 ex_fr_female$Type: Observed Year: 1908 Ex: 31.090000","Age: 38 ex_fr_female$Type: Observed Year: 1909 Ex: 30.680000","Age: 38 ex_fr_female$Type: Observed Year: 1910 Ex: 31.620000","Age: 38 ex_fr_female$Type: Observed Year: 1911 Ex: 31.060000","Age: 38 ex_fr_female$Type: Observed Year: 1912 Ex: 31.790000","Age: 38 ex_fr_female$Type: Observed Year: 1913 Ex: 31.840000","Age: 38 ex_fr_female$Type: Observed Year: 1914 Ex: 31.130000","Age: 38 ex_fr_female$Type: Observed Year: 1915 Ex: 31.150000","Age: 38 ex_fr_female$Type: Observed Year: 1916 Ex: 31.550000","Age: 38 ex_fr_female$Type: Observed Year: 1917 Ex: 31.490000","Age: 38 ex_fr_female$Type: Observed Year: 1918 Ex: 29.640000","Age: 38 ex_fr_female$Type: Observed Year: 1919 Ex: 31.300000","Age: 38 ex_fr_female$Type: Observed Year: 1920 Ex: 32.550000","Age: 38 ex_fr_female$Type: Observed Year: 1921 Ex: 32.460000","Age: 38 ex_fr_female$Type: Observed Year: 1922 Ex: 32.050000","Age: 38 ex_fr_female$Type: Observed Year: 1923 Ex: 32.810000","Age: 38 ex_fr_female$Type: Observed Year: 1924 Ex: 32.490000","Age: 38 ex_fr_female$Type: Observed Year: 1925 Ex: 32.380000","Age: 38 ex_fr_female$Type: Observed Year: 1926 Ex: 32.430000","Age: 38 ex_fr_female$Type: Observed Year: 1927 Ex: 32.930000","Age: 38 ex_fr_female$Type: Observed Year: 1928 Ex: 33.170000","Age: 38 ex_fr_female$Type: Observed Year: 1929 Ex: 32.150000","Age: 38 ex_fr_female$Type: Observed Year: 1930 Ex: 33.540000","Age: 38 ex_fr_female$Type: Observed Year: 1931 Ex: 33.010000","Age: 38 ex_fr_female$Type: Observed Year: 1932 Ex: 33.340000","Age: 38 ex_fr_female$Type: Observed Year: 1933 Ex: 33.310000","Age: 38 ex_fr_female$Type: Observed Year: 1934 Ex: 33.950000","Age: 38 ex_fr_female$Type: Observed Year: 1935 Ex: 33.420000","Age: 38 ex_fr_female$Type: Observed Year: 1936 Ex: 33.800000","Age: 38 ex_fr_female$Type: Observed Year: 1937 Ex: 34.160000","Age: 38 ex_fr_female$Type: Observed Year: 1938 Ex: 33.920000","Age: 38 ex_fr_female$Type: Observed Year: 1939 Ex: 33.990000","Age: 38 ex_fr_female$Type: Observed Year: 1940 Ex: 32.410000","Age: 38 ex_fr_female$Type: Observed Year: 1941 Ex: 33.550000","Age: 38 ex_fr_female$Type: Observed Year: 1942 Ex: 33.980000","Age: 38 ex_fr_female$Type: Observed Year: 1943 Ex: 33.970000","Age: 38 ex_fr_female$Type: Observed Year: 1944 Ex: 32.070000","Age: 38 ex_fr_female$Type: Observed Year: 1945 Ex: 34.470000","Age: 38 ex_fr_female$Type: Observed Year: 1946 Ex: 36.430000","Age: 38 ex_fr_female$Type: Observed Year: 1947 Ex: 36.800000","Age: 38 ex_fr_female$Type: Observed Year: 1948 Ex: 37.330000","Age: 38 ex_fr_female$Type: Observed Year: 1949 Ex: 36.270000","Age: 38 ex_fr_female$Type: Observed Year: 1950 Ex: 37.030000","Age: 38 ex_fr_female$Type: Observed Year: 1951 Ex: 36.570000","Age: 38 ex_fr_female$Type: Observed Year: 1952 Ex: 37.380000","Age: 38 ex_fr_female$Type: Observed Year: 1953 Ex: 36.880000","Age: 38 ex_fr_female$Type: Observed Year: 1954 Ex: 37.760000","Age: 38 ex_fr_female$Type: Observed Year: 1955 Ex: 37.830000","Age: 38 ex_fr_female$Type: Observed Year: 1956 Ex: 37.690000","Age: 38 ex_fr_female$Type: Observed Year: 1957 Ex: 38.120000","Age: 38 ex_fr_female$Type: Observed Year: 1958 Ex: 38.830000","Age: 38 ex_fr_female$Type: Observed Year: 1959 Ex: 38.860000","Age: 38 ex_fr_female$Type: Observed Year: 1960 Ex: 38.850000","Age: 38 ex_fr_female$Type: Observed Year: 1961 Ex: 39.500000","Age: 38 ex_fr_female$Type: Observed Year: 1962 Ex: 38.980000","Age: 38 ex_fr_female$Type: Observed Year: 1963 Ex: 38.910000","Age: 38 ex_fr_female$Type: Observed Year: 1964 Ex: 39.710000","Age: 38 ex_fr_female$Type: Observed Year: 1965 Ex: 39.500000","Age: 38 ex_fr_female$Type: Observed Year: 1966 Ex: 39.910000","Age: 38 ex_fr_female$Type: Observed Year: 1967 Ex: 39.910000","Age: 38 ex_fr_female$Type: Observed Year: 1968 Ex: 39.900000","Age: 38 ex_fr_female$Type: Observed Year: 1969 Ex: 39.680000","Age: 38 ex_fr_female$Type: Observed Year: 1970 Ex: 40.330000","Age: 38 ex_fr_female$Type: Observed Year: 1971 Ex: 40.340000","Age: 38 ex_fr_female$Type: Observed Year: 1972 Ex: 40.590000","Age: 38 ex_fr_female$Type: Observed Year: 1973 Ex: 40.640000","Age: 38 ex_fr_female$Type: Observed Year: 1974 Ex: 40.930000","Age: 38 ex_fr_female$Type: Observed Year: 1975 Ex: 40.970000","Age: 38 ex_fr_female$Type: Observed Year: 1976 Ex: 41.220000","Age: 38 ex_fr_female$Type: Observed Year: 1977 Ex: 41.820000","Age: 38 ex_fr_female$Type: Observed Year: 1978 Ex: 41.820000","Age: 38 ex_fr_female$Type: Observed Year: 1979 Ex: 42.110000","Age: 38 ex_fr_female$Type: Observed Year: 1980 Ex: 42.240000","Age: 38 ex_fr_female$Type: Observed Year: 1981 Ex: 42.280000","Age: 38 ex_fr_female$Type: Observed Year: 1982 Ex: 42.630000","Age: 38 ex_fr_female$Type: Observed Year: 1983 Ex: 42.530000","Age: 38 ex_fr_female$Type: Observed Year: 1984 Ex: 42.990000","Age: 38 ex_fr_female$Type: Observed Year: 1985 Ex: 43.040000","Age: 38 ex_fr_female$Type: Observed Year: 1986 Ex: 43.260000","Age: 38 ex_fr_female$Type: Observed Year: 1987 Ex: 43.760000","Age: 38 ex_fr_female$Type: Observed Year: 1988 Ex: 43.970000","Age: 38 ex_fr_female$Type: Observed Year: 1989 Ex: 44.130000","Age: 38 ex_fr_female$Type: Observed Year: 1990 Ex: 44.380000","Age: 38 ex_fr_female$Type: Observed Year: 1991 Ex: 44.610000","Age: 38 ex_fr_female$Type: Observed Year: 1992 Ex: 44.840000","Age: 38 ex_fr_female$Type: Observed Year: 1993 Ex: 44.810000","Age: 38 ex_fr_female$Type: Observed Year: 1994 Ex: 45.190000","Age: 38 ex_fr_female$Type: Observed Year: 1995 Ex: 45.160000","Age: 38 ex_fr_female$Type: Observed Year: 1996 Ex: 45.230000","Age: 38 ex_fr_female$Type: Observed Year: 1997 Ex: 45.420000","Age: 38 ex_fr_female$Type: Observed Year: 1998 Ex: 45.510000","Age: 38 ex_fr_female$Type: Observed Year: 1999 Ex: 45.580000","Age: 38 ex_fr_female$Type: Observed Year: 2000 Ex: 45.830000","Age: 38 ex_fr_female$Type: Observed Year: 2001 Ex: 45.980000","Age: 38 ex_fr_female$Type: Observed Year: 2002 Ex: 46.010000","Age: 38 ex_fr_female$Type: Observed Year: 2003 Ex: 45.870000","Age: 38 ex_fr_female$Type: Observed Year: 2004 Ex: 46.760000","Age: 38 ex_fr_female$Type: Observed Year: 2005 Ex: 46.670000","Age: 38 ex_fr_female$Type: Observed Year: 2006 Ex: 47.020000","Age: 38 ex_fr_female$Type: Observed Year: 2007 Ex: 47.180000","Age: 38 ex_fr_female$Type: Observed Year: 2008 Ex: 47.140000","Age: 38 ex_fr_female$Type: Observed Year: 2009 Ex: 47.250000","Age: 38 ex_fr_female$Type: Observed Year: 2010 Ex: 47.440000","Age: 38 ex_fr_female$Type: Observed Year: 2011 Ex: 47.750000","Age: 38 ex_fr_female$Type: Observed Year: 2012 Ex: 47.600000","Age: 38 ex_fr_female$Type: Observed Year: 2013 Ex: 47.790000","Age: 38 ex_fr_female$Type: Observed Year: 2014 Ex: 48.160000","Age: 38 ex_fr_female$Type: Observed Year: 2015 Ex: 47.880000","Age: 38 ex_fr_female$Type: Observed Year: 2016 Ex: 48.060000","Age: 38 ex_fr_female$Type: Observed Year: 2017 Ex: 48.020000"],"frame":"38","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[28.2706109317878,28.1812640880425,28.1719440294746,28.3284348105598,28.0875088536087,29.1963722616509,29.2745986509243,29.5122153583569,29.5846113192406,29.074139622845,28.5342458573177,28.80078407575,28.5499286011932,28.5404475549884,28.5096439534558,29.0203944581075,25.8519694206799,28.6755632469745,27.9484368600706,28.6907859699426,29.5216302883962,27.4816232159524,28.7626885867618,29.4300770318168,28.7313330237858,29.6160934063935,28.9127457998977,29.4483479003092,29.6182710093691,30.0215917281693,29.525985694353,28.2916432194867,28.6395798867179,26.7551338460771,29.6560626861712,29.5134156976857,29.4611590671715,29.3732857433835,26.4729538156503,28.0505245168398,29.5078877314039,28.9535576996372,28.3820541169042,28.4970222664494,29.8984564916362,29.7931614369881,30.0517354639143,29.8369945650136,29.4874519597847,29.137305326734,29.1334416188312,29.6366987546712,29.3726546496955,29.5081742565029,27.7322455934461,25.7700017419218,30.3850858200908,29.8239089911014,30.393820831444,29.5772113923157,30.092629939535,30.5100626886721,30.0455148184285,29.804780932685,30.0288688919963,30.448605743441,30.3054431481898,30.2443170706111,30.2892984158095,30.3407214735334,30.1885094719904,30.1063282221316,30.4982457536988,30.9259580870367,29.9411249622246,29.698029321422,29.8861836251525,30.0107298705647,30.6211178597457,30.1820568155099,31.1840282498521,31.6465276306602,30.8272216913874,30.7642751118013,29.9287743735497,30.8734788539883,31.2055232964268,31.3425269309657,31.3472659989181,30.9741889327869,31.0096714445511,30.5737741278064,31.3546915629711,30.9358569268534,31.8754942449413,31.3168451781114,32.0467463458414,32.1000062528211,31.389194024986,31.4046341742454,31.8045507874376,31.7447910657903,29.8959047241211,31.5575849772476,32.8116790566976,32.714396459654,32.3109442223493,33.0717741460216,32.7475328261332,32.6410359318634,32.6894967896988,33.1863078347838,33.427736140781,32.4074681631455,33.7967450639876,33.2678629555771,33.59257579304,33.5686159863152,34.2087825508517,33.6795521548712,34.0569509896503,34.4176048116634,34.1717324554495,34.2452155596314,32.6648072034851,33.80052328211,34.2340310456205,34.2249939750547,32.3243062137731,34.7195219670396,36.68336095902,37.0550243509534,37.5937818387523,36.5268353072789,37.2914509996083,36.826674607951,37.6396603983517,37.1411383744883,38.0201336676665,38.0904247747612,37.9433837023279,38.3807201488386,39.0924224881945,39.1212155208142,39.1047464088329,39.7571580990126,39.2417419174034,39.1625965701325,39.9708042189447,39.7612362592302,40.1708264098891,40.1641547135633,40.1525247426233,39.9412940717963,40.5878400675737,40.5976191670823,40.8462400233425,40.8950187674136,41.191634708732,41.2254841485663,41.4751455842997,42.0755757890831,42.0781767957215,42.3673449290166,42.497893051443,42.5390337585785,42.884909083239,42.7900727405969,43.2509014112447,43.2973644821262,43.5200455415089,44.0194725111411,44.2300407796889,44.3886260466577,44.6339780001032,44.8628645797761,45.0993836161509,45.063677150609,45.439613943966,45.4103104792258,45.4855700396957,45.6728271739509,45.7652638158634,45.8318873137412,46.0881451721537,46.2328400877569,46.2662829756293,46.1277612737183,47.0136667488559,46.9272949782352,47.2690268367461,47.4302322567614,47.3972995115418,47.5001814265311,47.6893689190981,48.0065025161686,47.8483330399657,48.047422745612,48.4120933685838,48.1341708350278,48.3166715028853,48.2702619101746],"text":["Age: 38 ex_fr_female$Type: Predicted Year: 1816 Ex: 28.270611","Age: 38 ex_fr_female$Type: Predicted Year: 1817 Ex: 28.181264","Age: 38 ex_fr_female$Type: Predicted Year: 1818 Ex: 28.171944","Age: 38 ex_fr_female$Type: Predicted Year: 1819 Ex: 28.328435","Age: 38 ex_fr_female$Type: Predicted Year: 1820 Ex: 28.087509","Age: 38 ex_fr_female$Type: Predicted Year: 1821 Ex: 29.196372","Age: 38 ex_fr_female$Type: Predicted Year: 1822 Ex: 29.274599","Age: 38 ex_fr_female$Type: Predicted Year: 1823 Ex: 29.512215","Age: 38 ex_fr_female$Type: Predicted Year: 1824 Ex: 29.584611","Age: 38 ex_fr_female$Type: Predicted Year: 1825 Ex: 29.074140","Age: 38 ex_fr_female$Type: Predicted Year: 1826 Ex: 28.534246","Age: 38 ex_fr_female$Type: Predicted Year: 1827 Ex: 28.800784","Age: 38 ex_fr_female$Type: Predicted Year: 1828 Ex: 28.549929","Age: 38 ex_fr_female$Type: Predicted Year: 1829 Ex: 28.540448","Age: 38 ex_fr_female$Type: Predicted Year: 1830 Ex: 28.509644","Age: 38 ex_fr_female$Type: Predicted Year: 1831 Ex: 29.020394","Age: 38 ex_fr_female$Type: Predicted Year: 1832 Ex: 25.851969","Age: 38 ex_fr_female$Type: Predicted Year: 1833 Ex: 28.675563","Age: 38 ex_fr_female$Type: Predicted Year: 1834 Ex: 27.948437","Age: 38 ex_fr_female$Type: Predicted Year: 1835 Ex: 28.690786","Age: 38 ex_fr_female$Type: Predicted Year: 1836 Ex: 29.521630","Age: 38 ex_fr_female$Type: Predicted Year: 1837 Ex: 27.481623","Age: 38 ex_fr_female$Type: Predicted Year: 1838 Ex: 28.762689","Age: 38 ex_fr_female$Type: Predicted Year: 1839 Ex: 29.430077","Age: 38 ex_fr_female$Type: Predicted Year: 1840 Ex: 28.731333","Age: 38 ex_fr_female$Type: Predicted Year: 1841 Ex: 29.616093","Age: 38 ex_fr_female$Type: Predicted Year: 1842 Ex: 28.912746","Age: 38 ex_fr_female$Type: Predicted Year: 1843 Ex: 29.448348","Age: 38 ex_fr_female$Type: Predicted Year: 1844 Ex: 29.618271","Age: 38 ex_fr_female$Type: Predicted Year: 1845 Ex: 30.021592","Age: 38 ex_fr_female$Type: Predicted Year: 1846 Ex: 29.525986","Age: 38 ex_fr_female$Type: Predicted Year: 1847 Ex: 28.291643","Age: 38 ex_fr_female$Type: Predicted Year: 1848 Ex: 28.639580","Age: 38 ex_fr_female$Type: Predicted Year: 1849 Ex: 26.755134","Age: 38 ex_fr_female$Type: Predicted Year: 1850 Ex: 29.656063","Age: 38 ex_fr_female$Type: Predicted Year: 1851 Ex: 29.513416","Age: 38 ex_fr_female$Type: Predicted Year: 1852 Ex: 29.461159","Age: 38 ex_fr_female$Type: Predicted Year: 1853 Ex: 29.373286","Age: 38 ex_fr_female$Type: Predicted Year: 1854 Ex: 26.472954","Age: 38 ex_fr_female$Type: Predicted Year: 1855 Ex: 28.050525","Age: 38 ex_fr_female$Type: Predicted Year: 1856 Ex: 29.507888","Age: 38 ex_fr_female$Type: Predicted Year: 1857 Ex: 28.953558","Age: 38 ex_fr_female$Type: Predicted Year: 1858 Ex: 28.382054","Age: 38 ex_fr_female$Type: Predicted Year: 1859 Ex: 28.497022","Age: 38 ex_fr_female$Type: Predicted Year: 1860 Ex: 29.898456","Age: 38 ex_fr_female$Type: Predicted Year: 1861 Ex: 29.793161","Age: 38 ex_fr_female$Type: Predicted Year: 1862 Ex: 30.051735","Age: 38 ex_fr_female$Type: Predicted Year: 1863 Ex: 29.836995","Age: 38 ex_fr_female$Type: Predicted Year: 1864 Ex: 29.487452","Age: 38 ex_fr_female$Type: Predicted Year: 1865 Ex: 29.137305","Age: 38 ex_fr_female$Type: Predicted Year: 1866 Ex: 29.133442","Age: 38 ex_fr_female$Type: Predicted Year: 1867 Ex: 29.636699","Age: 38 ex_fr_female$Type: Predicted Year: 1868 Ex: 29.372655","Age: 38 ex_fr_female$Type: Predicted Year: 1869 Ex: 29.508174","Age: 38 ex_fr_female$Type: Predicted Year: 1870 Ex: 27.732246","Age: 38 ex_fr_female$Type: Predicted Year: 1871 Ex: 25.770002","Age: 38 ex_fr_female$Type: Predicted Year: 1872 Ex: 30.385086","Age: 38 ex_fr_female$Type: Predicted Year: 1873 Ex: 29.823909","Age: 38 ex_fr_female$Type: Predicted Year: 1874 Ex: 30.393821","Age: 38 ex_fr_female$Type: Predicted Year: 1875 Ex: 29.577211","Age: 38 ex_fr_female$Type: Predicted Year: 1876 Ex: 30.092630","Age: 38 ex_fr_female$Type: Predicted Year: 1877 Ex: 30.510063","Age: 38 ex_fr_female$Type: Predicted Year: 1878 Ex: 30.045515","Age: 38 ex_fr_female$Type: Predicted Year: 1879 Ex: 29.804781","Age: 38 ex_fr_female$Type: Predicted Year: 1880 Ex: 30.028869","Age: 38 ex_fr_female$Type: Predicted Year: 1881 Ex: 30.448606","Age: 38 ex_fr_female$Type: Predicted Year: 1882 Ex: 30.305443","Age: 38 ex_fr_female$Type: Predicted Year: 1883 Ex: 30.244317","Age: 38 ex_fr_female$Type: Predicted Year: 1884 Ex: 30.289298","Age: 38 ex_fr_female$Type: Predicted Year: 1885 Ex: 30.340721","Age: 38 ex_fr_female$Type: Predicted Year: 1886 Ex: 30.188509","Age: 38 ex_fr_female$Type: Predicted Year: 1887 Ex: 30.106328","Age: 38 ex_fr_female$Type: Predicted Year: 1888 Ex: 30.498246","Age: 38 ex_fr_female$Type: Predicted Year: 1889 Ex: 30.925958","Age: 38 ex_fr_female$Type: Predicted Year: 1890 Ex: 29.941125","Age: 38 ex_fr_female$Type: Predicted Year: 1891 Ex: 29.698029","Age: 38 ex_fr_female$Type: Predicted Year: 1892 Ex: 29.886184","Age: 38 ex_fr_female$Type: Predicted Year: 1893 Ex: 30.010730","Age: 38 ex_fr_female$Type: Predicted Year: 1894 Ex: 30.621118","Age: 38 ex_fr_female$Type: Predicted Year: 1895 Ex: 30.182057","Age: 38 ex_fr_female$Type: Predicted Year: 1896 Ex: 31.184028","Age: 38 ex_fr_female$Type: Predicted Year: 1897 Ex: 31.646528","Age: 38 ex_fr_female$Type: Predicted Year: 1898 Ex: 30.827222","Age: 38 ex_fr_female$Type: Predicted Year: 1899 Ex: 30.764275","Age: 38 ex_fr_female$Type: Predicted Year: 1900 Ex: 29.928774","Age: 38 ex_fr_female$Type: Predicted Year: 1901 Ex: 30.873479","Age: 38 ex_fr_female$Type: Predicted Year: 1902 Ex: 31.205523","Age: 38 ex_fr_female$Type: Predicted Year: 1903 Ex: 31.342527","Age: 38 ex_fr_female$Type: Predicted Year: 1904 Ex: 31.347266","Age: 38 ex_fr_female$Type: Predicted Year: 1905 Ex: 30.974189","Age: 38 ex_fr_female$Type: Predicted Year: 1906 Ex: 31.009671","Age: 38 ex_fr_female$Type: Predicted Year: 1907 Ex: 30.573774","Age: 38 ex_fr_female$Type: Predicted Year: 1908 Ex: 31.354692","Age: 38 ex_fr_female$Type: Predicted Year: 1909 Ex: 30.935857","Age: 38 ex_fr_female$Type: Predicted Year: 1910 Ex: 31.875494","Age: 38 ex_fr_female$Type: Predicted Year: 1911 Ex: 31.316845","Age: 38 ex_fr_female$Type: Predicted Year: 1912 Ex: 32.046746","Age: 38 ex_fr_female$Type: Predicted Year: 1913 Ex: 32.100006","Age: 38 ex_fr_female$Type: Predicted Year: 1914 Ex: 31.389194","Age: 38 ex_fr_female$Type: Predicted Year: 1915 Ex: 31.404634","Age: 38 ex_fr_female$Type: Predicted Year: 1916 Ex: 31.804551","Age: 38 ex_fr_female$Type: Predicted Year: 1917 Ex: 31.744791","Age: 38 ex_fr_female$Type: Predicted Year: 1918 Ex: 29.895905","Age: 38 ex_fr_female$Type: Predicted Year: 1919 Ex: 31.557585","Age: 38 ex_fr_female$Type: Predicted Year: 1920 Ex: 32.811679","Age: 38 ex_fr_female$Type: Predicted Year: 1921 Ex: 32.714396","Age: 38 ex_fr_female$Type: Predicted Year: 1922 Ex: 32.310944","Age: 38 ex_fr_female$Type: Predicted Year: 1923 Ex: 33.071774","Age: 38 ex_fr_female$Type: Predicted Year: 1924 Ex: 32.747533","Age: 38 ex_fr_female$Type: Predicted Year: 1925 Ex: 32.641036","Age: 38 ex_fr_female$Type: Predicted Year: 1926 Ex: 32.689497","Age: 38 ex_fr_female$Type: Predicted Year: 1927 Ex: 33.186308","Age: 38 ex_fr_female$Type: Predicted Year: 1928 Ex: 33.427736","Age: 38 ex_fr_female$Type: Predicted Year: 1929 Ex: 32.407468","Age: 38 ex_fr_female$Type: Predicted Year: 1930 Ex: 33.796745","Age: 38 ex_fr_female$Type: Predicted Year: 1931 Ex: 33.267863","Age: 38 ex_fr_female$Type: Predicted Year: 1932 Ex: 33.592576","Age: 38 ex_fr_female$Type: Predicted Year: 1933 Ex: 33.568616","Age: 38 ex_fr_female$Type: Predicted Year: 1934 Ex: 34.208783","Age: 38 ex_fr_female$Type: Predicted Year: 1935 Ex: 33.679552","Age: 38 ex_fr_female$Type: Predicted Year: 1936 Ex: 34.056951","Age: 38 ex_fr_female$Type: Predicted Year: 1937 Ex: 34.417605","Age: 38 ex_fr_female$Type: Predicted Year: 1938 Ex: 34.171732","Age: 38 ex_fr_female$Type: Predicted Year: 1939 Ex: 34.245216","Age: 38 ex_fr_female$Type: Predicted Year: 1940 Ex: 32.664807","Age: 38 ex_fr_female$Type: Predicted Year: 1941 Ex: 33.800523","Age: 38 ex_fr_female$Type: Predicted Year: 1942 Ex: 34.234031","Age: 38 ex_fr_female$Type: Predicted Year: 1943 Ex: 34.224994","Age: 38 ex_fr_female$Type: Predicted Year: 1944 Ex: 32.324306","Age: 38 ex_fr_female$Type: Predicted Year: 1945 Ex: 34.719522","Age: 38 ex_fr_female$Type: Predicted Year: 1946 Ex: 36.683361","Age: 38 ex_fr_female$Type: Predicted Year: 1947 Ex: 37.055024","Age: 38 ex_fr_female$Type: Predicted Year: 1948 Ex: 37.593782","Age: 38 ex_fr_female$Type: Predicted Year: 1949 Ex: 36.526835","Age: 38 ex_fr_female$Type: Predicted Year: 1950 Ex: 37.291451","Age: 38 ex_fr_female$Type: Predicted Year: 1951 Ex: 36.826675","Age: 38 ex_fr_female$Type: Predicted Year: 1952 Ex: 37.639660","Age: 38 ex_fr_female$Type: Predicted Year: 1953 Ex: 37.141138","Age: 38 ex_fr_female$Type: Predicted Year: 1954 Ex: 38.020134","Age: 38 ex_fr_female$Type: Predicted Year: 1955 Ex: 38.090425","Age: 38 ex_fr_female$Type: Predicted Year: 1956 Ex: 37.943384","Age: 38 ex_fr_female$Type: Predicted Year: 1957 Ex: 38.380720","Age: 38 ex_fr_female$Type: Predicted Year: 1958 Ex: 39.092422","Age: 38 ex_fr_female$Type: Predicted Year: 1959 Ex: 39.121216","Age: 38 ex_fr_female$Type: Predicted Year: 1960 Ex: 39.104746","Age: 38 ex_fr_female$Type: Predicted Year: 1961 Ex: 39.757158","Age: 38 ex_fr_female$Type: Predicted Year: 1962 Ex: 39.241742","Age: 38 ex_fr_female$Type: Predicted Year: 1963 Ex: 39.162597","Age: 38 ex_fr_female$Type: Predicted Year: 1964 Ex: 39.970804","Age: 38 ex_fr_female$Type: Predicted Year: 1965 Ex: 39.761236","Age: 38 ex_fr_female$Type: Predicted Year: 1966 Ex: 40.170826","Age: 38 ex_fr_female$Type: Predicted Year: 1967 Ex: 40.164155","Age: 38 ex_fr_female$Type: Predicted Year: 1968 Ex: 40.152525","Age: 38 ex_fr_female$Type: Predicted Year: 1969 Ex: 39.941294","Age: 38 ex_fr_female$Type: Predicted Year: 1970 Ex: 40.587840","Age: 38 ex_fr_female$Type: Predicted Year: 1971 Ex: 40.597619","Age: 38 ex_fr_female$Type: Predicted Year: 1972 Ex: 40.846240","Age: 38 ex_fr_female$Type: Predicted Year: 1973 Ex: 40.895019","Age: 38 ex_fr_female$Type: Predicted Year: 1974 Ex: 41.191635","Age: 38 ex_fr_female$Type: Predicted Year: 1975 Ex: 41.225484","Age: 38 ex_fr_female$Type: Predicted Year: 1976 Ex: 41.475146","Age: 38 ex_fr_female$Type: Predicted Year: 1977 Ex: 42.075576","Age: 38 ex_fr_female$Type: Predicted Year: 1978 Ex: 42.078177","Age: 38 ex_fr_female$Type: Predicted Year: 1979 Ex: 42.367345","Age: 38 ex_fr_female$Type: Predicted Year: 1980 Ex: 42.497893","Age: 38 ex_fr_female$Type: Predicted Year: 1981 Ex: 42.539034","Age: 38 ex_fr_female$Type: Predicted Year: 1982 Ex: 42.884909","Age: 38 ex_fr_female$Type: Predicted Year: 1983 Ex: 42.790073","Age: 38 ex_fr_female$Type: Predicted Year: 1984 Ex: 43.250901","Age: 38 ex_fr_female$Type: Predicted Year: 1985 Ex: 43.297364","Age: 38 ex_fr_female$Type: Predicted Year: 1986 Ex: 43.520046","Age: 38 ex_fr_female$Type: Predicted Year: 1987 Ex: 44.019473","Age: 38 ex_fr_female$Type: Predicted Year: 1988 Ex: 44.230041","Age: 38 ex_fr_female$Type: Predicted Year: 1989 Ex: 44.388626","Age: 38 ex_fr_female$Type: Predicted Year: 1990 Ex: 44.633978","Age: 38 ex_fr_female$Type: Predicted Year: 1991 Ex: 44.862865","Age: 38 ex_fr_female$Type: Predicted Year: 1992 Ex: 45.099384","Age: 38 ex_fr_female$Type: Predicted Year: 1993 Ex: 45.063677","Age: 38 ex_fr_female$Type: Predicted Year: 1994 Ex: 45.439614","Age: 38 ex_fr_female$Type: Predicted Year: 1995 Ex: 45.410310","Age: 38 ex_fr_female$Type: Predicted Year: 1996 Ex: 45.485570","Age: 38 ex_fr_female$Type: Predicted Year: 1997 Ex: 45.672827","Age: 38 ex_fr_female$Type: Predicted Year: 1998 Ex: 45.765264","Age: 38 ex_fr_female$Type: Predicted Year: 1999 Ex: 45.831887","Age: 38 ex_fr_female$Type: Predicted Year: 2000 Ex: 46.088145","Age: 38 ex_fr_female$Type: Predicted Year: 2001 Ex: 46.232840","Age: 38 ex_fr_female$Type: Predicted Year: 2002 Ex: 46.266283","Age: 38 ex_fr_female$Type: Predicted Year: 2003 Ex: 46.127761","Age: 38 ex_fr_female$Type: Predicted Year: 2004 Ex: 47.013667","Age: 38 ex_fr_female$Type: Predicted Year: 2005 Ex: 46.927295","Age: 38 ex_fr_female$Type: Predicted Year: 2006 Ex: 47.269027","Age: 38 ex_fr_female$Type: Predicted Year: 2007 Ex: 47.430232","Age: 38 ex_fr_female$Type: Predicted Year: 2008 Ex: 47.397300","Age: 38 ex_fr_female$Type: Predicted Year: 2009 Ex: 47.500181","Age: 38 ex_fr_female$Type: Predicted Year: 2010 Ex: 47.689369","Age: 38 ex_fr_female$Type: Predicted Year: 2011 Ex: 48.006503","Age: 38 ex_fr_female$Type: Predicted Year: 2012 Ex: 47.848333","Age: 38 ex_fr_female$Type: Predicted Year: 2013 Ex: 48.047423","Age: 38 ex_fr_female$Type: Predicted Year: 2014 Ex: 48.412093","Age: 38 ex_fr_female$Type: Predicted Year: 2015 Ex: 48.134171","Age: 38 ex_fr_female$Type: Predicted Year: 2016 Ex: 48.316672","Age: 38 ex_fr_female$Type: Predicted Year: 2017 Ex: 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28.070000","Age: 39 ex_fr_female$Type: Observed Year: 1832 Ex: 24.950000","Age: 39 ex_fr_female$Type: Observed Year: 1833 Ex: 27.740000","Age: 39 ex_fr_female$Type: Observed Year: 1834 Ex: 27.030000","Age: 39 ex_fr_female$Type: Observed Year: 1835 Ex: 27.780000","Age: 39 ex_fr_female$Type: Observed Year: 1836 Ex: 28.570000","Age: 39 ex_fr_female$Type: Observed Year: 1837 Ex: 26.550000","Age: 39 ex_fr_female$Type: Observed Year: 1838 Ex: 27.810000","Age: 39 ex_fr_female$Type: Observed Year: 1839 Ex: 28.470000","Age: 39 ex_fr_female$Type: Observed Year: 1840 Ex: 27.790000","Age: 39 ex_fr_female$Type: Observed Year: 1841 Ex: 28.660000","Age: 39 ex_fr_female$Type: Observed Year: 1842 Ex: 27.950000","Age: 39 ex_fr_female$Type: Observed Year: 1843 Ex: 28.490000","Age: 39 ex_fr_female$Type: Observed Year: 1844 Ex: 28.660000","Age: 39 ex_fr_female$Type: Observed Year: 1845 Ex: 29.060000","Age: 39 ex_fr_female$Type: Observed Year: 1846 Ex: 28.570000","Age: 39 ex_fr_female$Type: Observed Year: 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29.630000","Age: 39 ex_fr_female$Type: Observed Year: 1895 Ex: 29.180000","Age: 39 ex_fr_female$Type: Observed Year: 1896 Ex: 30.180000","Age: 39 ex_fr_female$Type: Observed Year: 1897 Ex: 30.630000","Age: 39 ex_fr_female$Type: Observed Year: 1898 Ex: 29.830000","Age: 39 ex_fr_female$Type: Observed Year: 1899 Ex: 29.780000","Age: 39 ex_fr_female$Type: Observed Year: 1900 Ex: 28.930000","Age: 39 ex_fr_female$Type: Observed Year: 1901 Ex: 29.880000","Age: 39 ex_fr_female$Type: Observed Year: 1902 Ex: 30.210000","Age: 39 ex_fr_female$Type: Observed Year: 1903 Ex: 30.340000","Age: 39 ex_fr_female$Type: Observed Year: 1904 Ex: 30.340000","Age: 39 ex_fr_female$Type: Observed Year: 1905 Ex: 29.950000","Age: 39 ex_fr_female$Type: Observed Year: 1906 Ex: 30.000000","Age: 39 ex_fr_female$Type: Observed Year: 1907 Ex: 29.560000","Age: 39 ex_fr_female$Type: Observed Year: 1908 Ex: 30.340000","Age: 39 ex_fr_female$Type: Observed Year: 1909 Ex: 29.910000","Age: 39 ex_fr_female$Type: Observed Year: 1910 Ex: 30.850000","Age: 39 ex_fr_female$Type: Observed Year: 1911 Ex: 30.290000","Age: 39 ex_fr_female$Type: Observed Year: 1912 Ex: 31.020000","Age: 39 ex_fr_female$Type: Observed Year: 1913 Ex: 31.060000","Age: 39 ex_fr_female$Type: Observed Year: 1914 Ex: 30.370000","Age: 39 ex_fr_female$Type: Observed Year: 1915 Ex: 30.390000","Age: 39 ex_fr_female$Type: Observed Year: 1916 Ex: 30.760000","Age: 39 ex_fr_female$Type: Observed Year: 1917 Ex: 30.710000","Age: 39 ex_fr_female$Type: Observed Year: 1918 Ex: 29.020000","Age: 39 ex_fr_female$Type: Observed Year: 1919 Ex: 30.550000","Age: 39 ex_fr_female$Type: Observed Year: 1920 Ex: 31.780000","Age: 39 ex_fr_female$Type: Observed Year: 1921 Ex: 31.680000","Age: 39 ex_fr_female$Type: Observed Year: 1922 Ex: 31.260000","Age: 39 ex_fr_female$Type: Observed Year: 1923 Ex: 32.020000","Age: 39 ex_fr_female$Type: Observed Year: 1924 Ex: 31.690000","Age: 39 ex_fr_female$Type: Observed Year: 1925 Ex: 31.580000","Age: 39 ex_fr_female$Type: Observed Year: 1926 Ex: 31.640000","Age: 39 ex_fr_female$Type: Observed Year: 1927 Ex: 32.120000","Age: 39 ex_fr_female$Type: Observed Year: 1928 Ex: 32.360000","Age: 39 ex_fr_female$Type: Observed Year: 1929 Ex: 31.340000","Age: 39 ex_fr_female$Type: Observed Year: 1930 Ex: 32.730000","Age: 39 ex_fr_female$Type: Observed Year: 1931 Ex: 32.190000","Age: 39 ex_fr_female$Type: Observed Year: 1932 Ex: 32.520000","Age: 39 ex_fr_female$Type: Observed Year: 1933 Ex: 32.490000","Age: 39 ex_fr_female$Type: Observed Year: 1934 Ex: 33.120000","Age: 39 ex_fr_female$Type: Observed Year: 1935 Ex: 32.590000","Age: 39 ex_fr_female$Type: Observed Year: 1936 Ex: 32.970000","Age: 39 ex_fr_female$Type: Observed Year: 1937 Ex: 33.330000","Age: 39 ex_fr_female$Type: Observed Year: 1938 Ex: 33.070000","Age: 39 ex_fr_female$Type: Observed Year: 1939 Ex: 33.140000","Age: 39 ex_fr_female$Type: Observed Year: 1940 Ex: 31.580000","Age: 39 ex_fr_female$Type: Observed Year: 1941 Ex: 32.710000","Age: 39 ex_fr_female$Type: Observed Year: 1942 Ex: 33.130000","Age: 39 ex_fr_female$Type: Observed Year: 1943 Ex: 33.170000","Age: 39 ex_fr_female$Type: Observed Year: 1944 Ex: 31.340000","Age: 39 ex_fr_female$Type: Observed Year: 1945 Ex: 33.640000","Age: 39 ex_fr_female$Type: Observed Year: 1946 Ex: 35.550000","Age: 39 ex_fr_female$Type: Observed Year: 1947 Ex: 35.900000","Age: 39 ex_fr_female$Type: Observed Year: 1948 Ex: 36.440000","Age: 39 ex_fr_female$Type: Observed Year: 1949 Ex: 35.360000","Age: 39 ex_fr_female$Type: Observed Year: 1950 Ex: 36.140000","Age: 39 ex_fr_female$Type: Observed Year: 1951 Ex: 35.660000","Age: 39 ex_fr_female$Type: Observed Year: 1952 Ex: 36.470000","Age: 39 ex_fr_female$Type: Observed Year: 1953 Ex: 35.970000","Age: 39 ex_fr_female$Type: Observed Year: 1954 Ex: 36.850000","Age: 39 ex_fr_female$Type: Observed Year: 1955 Ex: 36.920000","Age: 39 ex_fr_female$Type: Observed Year: 1956 Ex: 36.770000","Age: 39 ex_fr_female$Type: Observed Year: 1957 Ex: 37.200000","Age: 39 ex_fr_female$Type: Observed Year: 1958 Ex: 37.900000","Age: 39 ex_fr_female$Type: Observed Year: 1959 Ex: 37.930000","Age: 39 ex_fr_female$Type: Observed Year: 1960 Ex: 37.920000","Age: 39 ex_fr_female$Type: Observed Year: 1961 Ex: 38.560000","Age: 39 ex_fr_female$Type: Observed Year: 1962 Ex: 38.050000","Age: 39 ex_fr_female$Type: Observed Year: 1963 Ex: 37.970000","Age: 39 ex_fr_female$Type: Observed Year: 1964 Ex: 38.780000","Age: 39 ex_fr_female$Type: Observed Year: 1965 Ex: 38.580000","Age: 39 ex_fr_female$Type: Observed Year: 1966 Ex: 38.980000","Age: 39 ex_fr_female$Type: Observed Year: 1967 Ex: 38.970000","Age: 39 ex_fr_female$Type: Observed Year: 1968 Ex: 38.950000","Age: 39 ex_fr_female$Type: Observed Year: 1969 Ex: 38.750000","Age: 39 ex_fr_female$Type: Observed Year: 1970 Ex: 39.390000","Age: 39 ex_fr_female$Type: Observed Year: 1971 Ex: 39.400000","Age: 39 ex_fr_female$Type: Observed Year: 1972 Ex: 39.650000","Age: 39 ex_fr_female$Type: Observed Year: 1973 Ex: 39.700000","Age: 39 ex_fr_female$Type: Observed Year: 1974 Ex: 39.990000","Age: 39 ex_fr_female$Type: Observed Year: 1975 Ex: 40.020000","Age: 39 ex_fr_female$Type: Observed Year: 1976 Ex: 40.280000","Age: 39 ex_fr_female$Type: Observed Year: 1977 Ex: 40.870000","Age: 39 ex_fr_female$Type: Observed Year: 1978 Ex: 40.870000","Age: 39 ex_fr_female$Type: Observed Year: 1979 Ex: 41.160000","Age: 39 ex_fr_female$Type: Observed Year: 1980 Ex: 41.290000","Age: 39 ex_fr_female$Type: Observed Year: 1981 Ex: 41.330000","Age: 39 ex_fr_female$Type: Observed Year: 1982 Ex: 41.680000","Age: 39 ex_fr_female$Type: Observed Year: 1983 Ex: 41.590000","Age: 39 ex_fr_female$Type: Observed Year: 1984 Ex: 42.040000","Age: 39 ex_fr_female$Type: Observed Year: 1985 Ex: 42.090000","Age: 39 ex_fr_female$Type: Observed Year: 1986 Ex: 42.310000","Age: 39 ex_fr_female$Type: Observed Year: 1987 Ex: 42.810000","Age: 39 ex_fr_female$Type: Observed Year: 1988 Ex: 43.020000","Age: 39 ex_fr_female$Type: Observed Year: 1989 Ex: 43.180000","Age: 39 ex_fr_female$Type: Observed Year: 1990 Ex: 43.430000","Age: 39 ex_fr_female$Type: Observed Year: 1991 Ex: 43.650000","Age: 39 ex_fr_female$Type: Observed Year: 1992 Ex: 43.890000","Age: 39 ex_fr_female$Type: Observed Year: 1993 Ex: 43.850000","Age: 39 ex_fr_female$Type: Observed Year: 1994 Ex: 44.240000","Age: 39 ex_fr_female$Type: Observed Year: 1995 Ex: 44.210000","Age: 39 ex_fr_female$Type: Observed Year: 1996 Ex: 44.280000","Age: 39 ex_fr_female$Type: Observed Year: 1997 Ex: 44.460000","Age: 39 ex_fr_female$Type: Observed Year: 1998 Ex: 44.560000","Age: 39 ex_fr_female$Type: Observed Year: 1999 Ex: 44.620000","Age: 39 ex_fr_female$Type: Observed Year: 2000 Ex: 44.870000","Age: 39 ex_fr_female$Type: Observed Year: 2001 Ex: 45.020000","Age: 39 ex_fr_female$Type: Observed Year: 2002 Ex: 45.050000","Age: 39 ex_fr_female$Type: Observed Year: 2003 Ex: 44.920000","Age: 39 ex_fr_female$Type: Observed Year: 2004 Ex: 45.800000","Age: 39 ex_fr_female$Type: Observed Year: 2005 Ex: 45.710000","Age: 39 ex_fr_female$Type: Observed Year: 2006 Ex: 46.050000","Age: 39 ex_fr_female$Type: Observed Year: 2007 Ex: 46.210000","Age: 39 ex_fr_female$Type: Observed Year: 2008 Ex: 46.180000","Age: 39 ex_fr_female$Type: Observed Year: 2009 Ex: 46.280000","Age: 39 ex_fr_female$Type: Observed Year: 2010 Ex: 46.470000","Age: 39 ex_fr_female$Type: Observed Year: 2011 Ex: 46.790000","Age: 39 ex_fr_female$Type: Observed Year: 2012 Ex: 46.630000","Age: 39 ex_fr_female$Type: Observed Year: 2013 Ex: 46.830000","Age: 39 ex_fr_female$Type: Observed Year: 2014 Ex: 47.190000","Age: 39 ex_fr_female$Type: Observed Year: 2015 Ex: 46.910000","Age: 39 ex_fr_female$Type: Observed Year: 2016 Ex: 47.090000","Age: 39 ex_fr_female$Type: Observed Year: 2017 Ex: 47.050000"],"frame":"39","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[27.5971580414363,27.5036799138132,27.5060117642369,27.6598856677917,27.4024141667492,28.5166797000382,28.5928697270029,28.8163990826669,28.8954327534871,28.387882262338,27.859638570466,28.1269801648486,27.8888434272238,27.8678980009406,27.8344677574693,28.3390260389688,25.2322917450589,28.0105783437758,27.3017618810199,28.0496693498402,28.8458617064275,26.8207414835004,28.0847292085724,28.7421711432762,28.0581565362035,28.9304885515074,28.2264399295524,28.7621022264927,28.9306293930158,29.3266416477214,28.8411683260633,27.6114086763308,27.9664798818815,26.1490051609847,28.9649956636749,28.8269954073754,28.7838363417368,28.6862265144532,25.8544203734891,27.3786653206779,28.8178892359856,28.2553346065524,27.6881976917796,27.814053623711,29.1867925067483,29.0816480032452,29.3370988126131,29.1247277700085,28.7749770469328,28.4401628091287,28.4466774666562,28.9265870192521,28.6771257478808,28.8108499923544,27.0836152615265,25.2199884049681,29.6950995767384,29.1233611232825,29.6728304265374,28.8720881082963,29.3840657484059,29.8034881133238,29.3299231663757,29.0889431513907,29.3184839739822,29.7390109942001,29.6065006658554,29.5414523446047,29.5910956016575,29.6394225909746,29.4919847852887,29.4026830985084,29.7727802772699,30.1958106962147,29.2034310682197,28.9593479371088,29.1577858848987,29.2885469826219,29.89009017948,29.4450121898235,30.4372918755675,30.888538335951,30.0922212682619,30.0378848315464,29.1975033056015,30.1428660165919,30.4701117708655,30.6014527660994,30.6034321357047,30.2051409029167,30.2550366002706,29.8201814666317,30.6031424774733,30.1729591331663,31.1110639726752,30.5528781726947,31.2829661735387,31.3254838702085,30.6270262296625,30.64632265108,31.0197239283392,30.966160725614,29.2754892162485,30.8039128938384,32.0425601482673,31.9361478265557,31.5225522631989,32.274674870217,31.946791344579,31.8360792051529,31.895523002837,32.3767685717448,32.6133114846084,31.5962792179197,32.9894231593119,32.4505601718715,32.7740886202103,32.7430155773276,33.3757162629217,32.8502009716407,33.2248190057889,33.5825050781462,33.3290091834682,33.3960555943046,31.8347635724798,32.9620888033569,33.385837650844,33.4265957123231,31.592116022945,33.8948316405069,35.8040525024334,36.1637542371567,36.7003939810537,35.6224330879025,36.3971942054776,35.920154283076,36.7274135456056,36.2244082699297,37.1069053977871,37.1735915127589,37.0281014805846,37.4584553036775,38.1623380464784,38.1904094251408,38.1781651748374,38.8223791149002,38.3084350696122,38.2268297940148,39.0359848199018,38.8351168311351,39.2387215734148,39.2300519050568,39.2100626184601,39.0052407650142,39.6415937882571,39.6598186814149,39.9080170299883,39.9528249756899,40.2453831405125,40.2792772911165,40.533371631523,41.1313244122179,41.1314309446754,41.4180350839245,41.5449570474984,41.5903526843086,41.9374989762359,41.8429683913044,42.3026613166951,42.34789518533,42.5673936330549,43.0656276142076,43.274668181259,43.4329759556689,43.6838775885108,43.9090259628583,44.1444517530123,44.1096013890569,44.4926739938493,44.4588398203876,44.5332800302328,44.7175704207603,44.8123641824225,44.8749730724246,45.1282803994052,45.2781380219212,45.3065750331531,45.1693014372518,46.0532201757989,45.9658456315883,46.3078612453001,46.4654431350333,46.4338936768853,46.5340337439925,46.722885269335,47.0402441112213,46.8814884774968,47.0788144038713,47.442287498557,47.1641898186337,47.3439347756747,47.3008446642784],"text":["Age: 39 ex_fr_female$Type: Predicted Year: 1816 Ex: 27.597158","Age: 39 ex_fr_female$Type: Predicted Year: 1817 Ex: 27.503680","Age: 39 ex_fr_female$Type: Predicted Year: 1818 Ex: 27.506012","Age: 39 ex_fr_female$Type: Predicted Year: 1819 Ex: 27.659886","Age: 39 ex_fr_female$Type: Predicted Year: 1820 Ex: 27.402414","Age: 39 ex_fr_female$Type: Predicted Year: 1821 Ex: 28.516680","Age: 39 ex_fr_female$Type: Predicted Year: 1822 Ex: 28.592870","Age: 39 ex_fr_female$Type: Predicted Year: 1823 Ex: 28.816399","Age: 39 ex_fr_female$Type: Predicted Year: 1824 Ex: 28.895433","Age: 39 ex_fr_female$Type: Predicted Year: 1825 Ex: 28.387882","Age: 39 ex_fr_female$Type: Predicted Year: 1826 Ex: 27.859639","Age: 39 ex_fr_female$Type: Predicted Year: 1827 Ex: 28.126980","Age: 39 ex_fr_female$Type: Predicted Year: 1828 Ex: 27.888843","Age: 39 ex_fr_female$Type: Predicted Year: 1829 Ex: 27.867898","Age: 39 ex_fr_female$Type: Predicted Year: 1830 Ex: 27.834468","Age: 39 ex_fr_female$Type: Predicted Year: 1831 Ex: 28.339026","Age: 39 ex_fr_female$Type: Predicted Year: 1832 Ex: 25.232292","Age: 39 ex_fr_female$Type: Predicted Year: 1833 Ex: 28.010578","Age: 39 ex_fr_female$Type: Predicted Year: 1834 Ex: 27.301762","Age: 39 ex_fr_female$Type: Predicted Year: 1835 Ex: 28.049669","Age: 39 ex_fr_female$Type: Predicted Year: 1836 Ex: 28.845862","Age: 39 ex_fr_female$Type: Predicted Year: 1837 Ex: 26.820741","Age: 39 ex_fr_female$Type: Predicted Year: 1838 Ex: 28.084729","Age: 39 ex_fr_female$Type: Predicted Year: 1839 Ex: 28.742171","Age: 39 ex_fr_female$Type: Predicted Year: 1840 Ex: 28.058157","Age: 39 ex_fr_female$Type: Predicted Year: 1841 Ex: 28.930489","Age: 39 ex_fr_female$Type: Predicted Year: 1842 Ex: 28.226440","Age: 39 ex_fr_female$Type: Predicted Year: 1843 Ex: 28.762102","Age: 39 ex_fr_female$Type: Predicted Year: 1844 Ex: 28.930629","Age: 39 ex_fr_female$Type: Predicted Year: 1845 Ex: 29.326642","Age: 39 ex_fr_female$Type: Predicted Year: 1846 Ex: 28.841168","Age: 39 ex_fr_female$Type: Predicted Year: 1847 Ex: 27.611409","Age: 39 ex_fr_female$Type: Predicted Year: 1848 Ex: 27.966480","Age: 39 ex_fr_female$Type: Predicted Year: 1849 Ex: 26.149005","Age: 39 ex_fr_female$Type: Predicted Year: 1850 Ex: 28.964996","Age: 39 ex_fr_female$Type: Predicted Year: 1851 Ex: 28.826995","Age: 39 ex_fr_female$Type: Predicted Year: 1852 Ex: 28.783836","Age: 39 ex_fr_female$Type: Predicted Year: 1853 Ex: 28.686227","Age: 39 ex_fr_female$Type: Predicted Year: 1854 Ex: 25.854420","Age: 39 ex_fr_female$Type: Predicted Year: 1855 Ex: 27.378665","Age: 39 ex_fr_female$Type: Predicted Year: 1856 Ex: 28.817889","Age: 39 ex_fr_female$Type: Predicted Year: 1857 Ex: 28.255335","Age: 39 ex_fr_female$Type: Predicted Year: 1858 Ex: 27.688198","Age: 39 ex_fr_female$Type: Predicted Year: 1859 Ex: 27.814054","Age: 39 ex_fr_female$Type: Predicted Year: 1860 Ex: 29.186793","Age: 39 ex_fr_female$Type: Predicted Year: 1861 Ex: 29.081648","Age: 39 ex_fr_female$Type: Predicted Year: 1862 Ex: 29.337099","Age: 39 ex_fr_female$Type: Predicted Year: 1863 Ex: 29.124728","Age: 39 ex_fr_female$Type: Predicted Year: 1864 Ex: 28.774977","Age: 39 ex_fr_female$Type: Predicted Year: 1865 Ex: 28.440163","Age: 39 ex_fr_female$Type: Predicted Year: 1866 Ex: 28.446677","Age: 39 ex_fr_female$Type: Predicted Year: 1867 Ex: 28.926587","Age: 39 ex_fr_female$Type: Predicted Year: 1868 Ex: 28.677126","Age: 39 ex_fr_female$Type: Predicted Year: 1869 Ex: 28.810850","Age: 39 ex_fr_female$Type: Predicted Year: 1870 Ex: 27.083615","Age: 39 ex_fr_female$Type: Predicted Year: 1871 Ex: 25.219988","Age: 39 ex_fr_female$Type: Predicted Year: 1872 Ex: 29.695100","Age: 39 ex_fr_female$Type: Predicted Year: 1873 Ex: 29.123361","Age: 39 ex_fr_female$Type: Predicted Year: 1874 Ex: 29.672830","Age: 39 ex_fr_female$Type: Predicted Year: 1875 Ex: 28.872088","Age: 39 ex_fr_female$Type: Predicted Year: 1876 Ex: 29.384066","Age: 39 ex_fr_female$Type: Predicted Year: 1877 Ex: 29.803488","Age: 39 ex_fr_female$Type: Predicted Year: 1878 Ex: 29.329923","Age: 39 ex_fr_female$Type: Predicted Year: 1879 Ex: 29.088943","Age: 39 ex_fr_female$Type: Predicted Year: 1880 Ex: 29.318484","Age: 39 ex_fr_female$Type: Predicted Year: 1881 Ex: 29.739011","Age: 39 ex_fr_female$Type: Predicted Year: 1882 Ex: 29.606501","Age: 39 ex_fr_female$Type: Predicted Year: 1883 Ex: 29.541452","Age: 39 ex_fr_female$Type: Predicted Year: 1884 Ex: 29.591096","Age: 39 ex_fr_female$Type: Predicted Year: 1885 Ex: 29.639423","Age: 39 ex_fr_female$Type: Predicted Year: 1886 Ex: 29.491985","Age: 39 ex_fr_female$Type: Predicted Year: 1887 Ex: 29.402683","Age: 39 ex_fr_female$Type: Predicted Year: 1888 Ex: 29.772780","Age: 39 ex_fr_female$Type: Predicted Year: 1889 Ex: 30.195811","Age: 39 ex_fr_female$Type: Predicted Year: 1890 Ex: 29.203431","Age: 39 ex_fr_female$Type: Predicted Year: 1891 Ex: 28.959348","Age: 39 ex_fr_female$Type: Predicted Year: 1892 Ex: 29.157786","Age: 39 ex_fr_female$Type: Predicted Year: 1893 Ex: 29.288547","Age: 39 ex_fr_female$Type: Predicted Year: 1894 Ex: 29.890090","Age: 39 ex_fr_female$Type: Predicted Year: 1895 Ex: 29.445012","Age: 39 ex_fr_female$Type: Predicted Year: 1896 Ex: 30.437292","Age: 39 ex_fr_female$Type: Predicted Year: 1897 Ex: 30.888538","Age: 39 ex_fr_female$Type: Predicted Year: 1898 Ex: 30.092221","Age: 39 ex_fr_female$Type: Predicted Year: 1899 Ex: 30.037885","Age: 39 ex_fr_female$Type: Predicted Year: 1900 Ex: 29.197503","Age: 39 ex_fr_female$Type: Predicted Year: 1901 Ex: 30.142866","Age: 39 ex_fr_female$Type: Predicted Year: 1902 Ex: 30.470112","Age: 39 ex_fr_female$Type: Predicted Year: 1903 Ex: 30.601453","Age: 39 ex_fr_female$Type: Predicted Year: 1904 Ex: 30.603432","Age: 39 ex_fr_female$Type: Predicted Year: 1905 Ex: 30.205141","Age: 39 ex_fr_female$Type: Predicted Year: 1906 Ex: 30.255037","Age: 39 ex_fr_female$Type: Predicted Year: 1907 Ex: 29.820181","Age: 39 ex_fr_female$Type: Predicted Year: 1908 Ex: 30.603142","Age: 39 ex_fr_female$Type: Predicted Year: 1909 Ex: 30.172959","Age: 39 ex_fr_female$Type: Predicted Year: 1910 Ex: 31.111064","Age: 39 ex_fr_female$Type: Predicted Year: 1911 Ex: 30.552878","Age: 39 ex_fr_female$Type: Predicted Year: 1912 Ex: 31.282966","Age: 39 ex_fr_female$Type: Predicted Year: 1913 Ex: 31.325484","Age: 39 ex_fr_female$Type: Predicted Year: 1914 Ex: 30.627026","Age: 39 ex_fr_female$Type: Predicted Year: 1915 Ex: 30.646323","Age: 39 ex_fr_female$Type: Predicted Year: 1916 Ex: 31.019724","Age: 39 ex_fr_female$Type: Predicted Year: 1917 Ex: 30.966161","Age: 39 ex_fr_female$Type: Predicted Year: 1918 Ex: 29.275489","Age: 39 ex_fr_female$Type: Predicted Year: 1919 Ex: 30.803913","Age: 39 ex_fr_female$Type: Predicted Year: 1920 Ex: 32.042560","Age: 39 ex_fr_female$Type: Predicted Year: 1921 Ex: 31.936148","Age: 39 ex_fr_female$Type: Predicted Year: 1922 Ex: 31.522552","Age: 39 ex_fr_female$Type: Predicted Year: 1923 Ex: 32.274675","Age: 39 ex_fr_female$Type: Predicted Year: 1924 Ex: 31.946791","Age: 39 ex_fr_female$Type: Predicted Year: 1925 Ex: 31.836079","Age: 39 ex_fr_female$Type: Predicted Year: 1926 Ex: 31.895523","Age: 39 ex_fr_female$Type: Predicted Year: 1927 Ex: 32.376769","Age: 39 ex_fr_female$Type: Predicted Year: 1928 Ex: 32.613311","Age: 39 ex_fr_female$Type: Predicted Year: 1929 Ex: 31.596279","Age: 39 ex_fr_female$Type: Predicted Year: 1930 Ex: 32.989423","Age: 39 ex_fr_female$Type: Predicted Year: 1931 Ex: 32.450560","Age: 39 ex_fr_female$Type: Predicted Year: 1932 Ex: 32.774089","Age: 39 ex_fr_female$Type: Predicted Year: 1933 Ex: 32.743016","Age: 39 ex_fr_female$Type: Predicted Year: 1934 Ex: 33.375716","Age: 39 ex_fr_female$Type: Predicted Year: 1935 Ex: 32.850201","Age: 39 ex_fr_female$Type: Predicted Year: 1936 Ex: 33.224819","Age: 39 ex_fr_female$Type: Predicted Year: 1937 Ex: 33.582505","Age: 39 ex_fr_female$Type: Predicted Year: 1938 Ex: 33.329009","Age: 39 ex_fr_female$Type: Predicted Year: 1939 Ex: 33.396056","Age: 39 ex_fr_female$Type: Predicted Year: 1940 Ex: 31.834764","Age: 39 ex_fr_female$Type: Predicted Year: 1941 Ex: 32.962089","Age: 39 ex_fr_female$Type: Predicted Year: 1942 Ex: 33.385838","Age: 39 ex_fr_female$Type: Predicted Year: 1943 Ex: 33.426596","Age: 39 ex_fr_female$Type: Predicted Year: 1944 Ex: 31.592116","Age: 39 ex_fr_female$Type: Predicted Year: 1945 Ex: 33.894832","Age: 39 ex_fr_female$Type: Predicted Year: 1946 Ex: 35.804053","Age: 39 ex_fr_female$Type: Predicted Year: 1947 Ex: 36.163754","Age: 39 ex_fr_female$Type: Predicted Year: 1948 Ex: 36.700394","Age: 39 ex_fr_female$Type: Predicted Year: 1949 Ex: 35.622433","Age: 39 ex_fr_female$Type: Predicted Year: 1950 Ex: 36.397194","Age: 39 ex_fr_female$Type: Predicted Year: 1951 Ex: 35.920154","Age: 39 ex_fr_female$Type: Predicted Year: 1952 Ex: 36.727414","Age: 39 ex_fr_female$Type: Predicted Year: 1953 Ex: 36.224408","Age: 39 ex_fr_female$Type: Predicted Year: 1954 Ex: 37.106905","Age: 39 ex_fr_female$Type: Predicted Year: 1955 Ex: 37.173592","Age: 39 ex_fr_female$Type: Predicted Year: 1956 Ex: 37.028101","Age: 39 ex_fr_female$Type: Predicted Year: 1957 Ex: 37.458455","Age: 39 ex_fr_female$Type: Predicted Year: 1958 Ex: 38.162338","Age: 39 ex_fr_female$Type: Predicted Year: 1959 Ex: 38.190409","Age: 39 ex_fr_female$Type: Predicted Year: 1960 Ex: 38.178165","Age: 39 ex_fr_female$Type: Predicted Year: 1961 Ex: 38.822379","Age: 39 ex_fr_female$Type: Predicted Year: 1962 Ex: 38.308435","Age: 39 ex_fr_female$Type: Predicted Year: 1963 Ex: 38.226830","Age: 39 ex_fr_female$Type: Predicted Year: 1964 Ex: 39.035985","Age: 39 ex_fr_female$Type: Predicted Year: 1965 Ex: 38.835117","Age: 39 ex_fr_female$Type: Predicted Year: 1966 Ex: 39.238722","Age: 39 ex_fr_female$Type: Predicted Year: 1967 Ex: 39.230052","Age: 39 ex_fr_female$Type: Predicted Year: 1968 Ex: 39.210063","Age: 39 ex_fr_female$Type: Predicted Year: 1969 Ex: 39.005241","Age: 39 ex_fr_female$Type: Predicted Year: 1970 Ex: 39.641594","Age: 39 ex_fr_female$Type: Predicted Year: 1971 Ex: 39.659819","Age: 39 ex_fr_female$Type: Predicted Year: 1972 Ex: 39.908017","Age: 39 ex_fr_female$Type: Predicted Year: 1973 Ex: 39.952825","Age: 39 ex_fr_female$Type: Predicted Year: 1974 Ex: 40.245383","Age: 39 ex_fr_female$Type: Predicted Year: 1975 Ex: 40.279277","Age: 39 ex_fr_female$Type: Predicted Year: 1976 Ex: 40.533372","Age: 39 ex_fr_female$Type: Predicted Year: 1977 Ex: 41.131324","Age: 39 ex_fr_female$Type: Predicted Year: 1978 Ex: 41.131431","Age: 39 ex_fr_female$Type: Predicted Year: 1979 Ex: 41.418035","Age: 39 ex_fr_female$Type: Predicted Year: 1980 Ex: 41.544957","Age: 39 ex_fr_female$Type: Predicted Year: 1981 Ex: 41.590353","Age: 39 ex_fr_female$Type: Predicted Year: 1982 Ex: 41.937499","Age: 39 ex_fr_female$Type: Predicted Year: 1983 Ex: 41.842968","Age: 39 ex_fr_female$Type: Predicted Year: 1984 Ex: 42.302661","Age: 39 ex_fr_female$Type: Predicted Year: 1985 Ex: 42.347895","Age: 39 ex_fr_female$Type: Predicted Year: 1986 Ex: 42.567394","Age: 39 ex_fr_female$Type: Predicted Year: 1987 Ex: 43.065628","Age: 39 ex_fr_female$Type: Predicted Year: 1988 Ex: 43.274668","Age: 39 ex_fr_female$Type: Predicted Year: 1989 Ex: 43.432976","Age: 39 ex_fr_female$Type: Predicted Year: 1990 Ex: 43.683878","Age: 39 ex_fr_female$Type: Predicted Year: 1991 Ex: 43.909026","Age: 39 ex_fr_female$Type: Predicted Year: 1992 Ex: 44.144452","Age: 39 ex_fr_female$Type: Predicted Year: 1993 Ex: 44.109601","Age: 39 ex_fr_female$Type: Predicted Year: 1994 Ex: 44.492674","Age: 39 ex_fr_female$Type: Predicted Year: 1995 Ex: 44.458840","Age: 39 ex_fr_female$Type: Predicted Year: 1996 Ex: 44.533280","Age: 39 ex_fr_female$Type: Predicted Year: 1997 Ex: 44.717570","Age: 39 ex_fr_female$Type: Predicted Year: 1998 Ex: 44.812364","Age: 39 ex_fr_female$Type: Predicted Year: 1999 Ex: 44.874973","Age: 39 ex_fr_female$Type: Predicted Year: 2000 Ex: 45.128280","Age: 39 ex_fr_female$Type: Predicted Year: 2001 Ex: 45.278138","Age: 39 ex_fr_female$Type: Predicted Year: 2002 Ex: 45.306575","Age: 39 ex_fr_female$Type: Predicted Year: 2003 Ex: 45.169301","Age: 39 ex_fr_female$Type: Predicted Year: 2004 Ex: 46.053220","Age: 39 ex_fr_female$Type: Predicted Year: 2005 Ex: 45.965846","Age: 39 ex_fr_female$Type: Predicted Year: 2006 Ex: 46.307861","Age: 39 ex_fr_female$Type: Predicted Year: 2007 Ex: 46.465443","Age: 39 ex_fr_female$Type: Predicted Year: 2008 Ex: 46.433894","Age: 39 ex_fr_female$Type: Predicted Year: 2009 Ex: 46.534034","Age: 39 ex_fr_female$Type: Predicted Year: 2010 Ex: 46.722885","Age: 39 ex_fr_female$Type: Predicted Year: 2011 Ex: 47.040244","Age: 39 ex_fr_female$Type: Predicted Year: 2012 Ex: 46.881488","Age: 39 ex_fr_female$Type: Predicted Year: 2013 Ex: 47.078814","Age: 39 ex_fr_female$Type: Predicted Year: 2014 Ex: 47.442287","Age: 39 ex_fr_female$Type: Predicted Year: 2015 Ex: 47.164190","Age: 39 ex_fr_female$Type: Predicted Year: 2016 Ex: 47.343935","Age: 39 ex_fr_female$Type: Predicted Year: 2017 Ex: 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40 ex_fr_female$Type: Observed Year: 1816 Ex: 26.650000","Age: 40 ex_fr_female$Type: Observed Year: 1817 Ex: 26.550000","Age: 40 ex_fr_female$Type: Observed Year: 1818 Ex: 26.560000","Age: 40 ex_fr_female$Type: Observed Year: 1819 Ex: 26.720000","Age: 40 ex_fr_female$Type: Observed Year: 1820 Ex: 26.440000","Age: 40 ex_fr_female$Type: Observed Year: 1821 Ex: 27.560000","Age: 40 ex_fr_female$Type: Observed Year: 1822 Ex: 27.640000","Age: 40 ex_fr_female$Type: Observed Year: 1823 Ex: 27.850000","Age: 40 ex_fr_female$Type: Observed Year: 1824 Ex: 27.940000","Age: 40 ex_fr_female$Type: Observed Year: 1825 Ex: 27.430000","Age: 40 ex_fr_female$Type: Observed Year: 1826 Ex: 26.900000","Age: 40 ex_fr_female$Type: Observed Year: 1827 Ex: 27.170000","Age: 40 ex_fr_female$Type: Observed Year: 1828 Ex: 26.940000","Age: 40 ex_fr_female$Type: Observed Year: 1829 Ex: 26.910000","Age: 40 ex_fr_female$Type: Observed Year: 1830 Ex: 26.890000","Age: 40 ex_fr_female$Type: Observed Year: 1831 Ex: 27.390000","Age: 40 ex_fr_female$Type: Observed Year: 1832 Ex: 24.340000","Age: 40 ex_fr_female$Type: Observed Year: 1833 Ex: 27.080000","Age: 40 ex_fr_female$Type: Observed Year: 1834 Ex: 26.360000","Age: 40 ex_fr_female$Type: Observed Year: 1835 Ex: 27.120000","Age: 40 ex_fr_female$Type: Observed Year: 1836 Ex: 27.900000","Age: 40 ex_fr_female$Type: Observed Year: 1837 Ex: 25.890000","Age: 40 ex_fr_female$Type: Observed Year: 1838 Ex: 27.130000","Age: 40 ex_fr_female$Type: Observed Year: 1839 Ex: 27.780000","Age: 40 ex_fr_female$Type: Observed Year: 1840 Ex: 27.110000","Age: 40 ex_fr_female$Type: Observed Year: 1841 Ex: 27.980000","Age: 40 ex_fr_female$Type: Observed Year: 1842 Ex: 27.270000","Age: 40 ex_fr_female$Type: Observed Year: 1843 Ex: 27.810000","Age: 40 ex_fr_female$Type: Observed Year: 1844 Ex: 27.970000","Age: 40 ex_fr_female$Type: Observed Year: 1845 Ex: 28.360000","Age: 40 ex_fr_female$Type: Observed Year: 1846 Ex: 27.880000","Age: 40 ex_fr_female$Type: Observed Year: 1847 Ex: 26.660000","Age: 40 ex_fr_female$Type: Observed Year: 1848 Ex: 27.020000","Age: 40 ex_fr_female$Type: Observed Year: 1849 Ex: 25.260000","Age: 40 ex_fr_female$Type: Observed Year: 1850 Ex: 28.000000","Age: 40 ex_fr_female$Type: Observed Year: 1851 Ex: 27.870000","Age: 40 ex_fr_female$Type: Observed Year: 1852 Ex: 27.830000","Age: 40 ex_fr_female$Type: Observed Year: 1853 Ex: 27.730000","Age: 40 ex_fr_female$Type: Observed Year: 1854 Ex: 24.960000","Age: 40 ex_fr_female$Type: Observed Year: 1855 Ex: 26.440000","Age: 40 ex_fr_female$Type: Observed Year: 1856 Ex: 27.860000","Age: 40 ex_fr_female$Type: Observed Year: 1857 Ex: 27.290000","Age: 40 ex_fr_female$Type: Observed Year: 1858 Ex: 26.730000","Age: 40 ex_fr_female$Type: Observed Year: 1859 Ex: 26.860000","Age: 40 ex_fr_female$Type: Observed Year: 1860 Ex: 28.210000","Age: 40 ex_fr_female$Type: Observed Year: 1861 Ex: 28.100000","Age: 40 ex_fr_female$Type: Observed Year: 1862 Ex: 28.350000","Age: 40 ex_fr_female$Type: 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ex_fr_female$Type: Observed Year: 1879 Ex: 28.110000","Age: 40 ex_fr_female$Type: Observed Year: 1880 Ex: 28.340000","Age: 40 ex_fr_female$Type: Observed Year: 1881 Ex: 28.760000","Age: 40 ex_fr_female$Type: Observed Year: 1882 Ex: 28.630000","Age: 40 ex_fr_female$Type: Observed Year: 1883 Ex: 28.570000","Age: 40 ex_fr_female$Type: Observed Year: 1884 Ex: 28.630000","Age: 40 ex_fr_female$Type: Observed Year: 1885 Ex: 28.670000","Age: 40 ex_fr_female$Type: Observed Year: 1886 Ex: 28.540000","Age: 40 ex_fr_female$Type: Observed Year: 1887 Ex: 28.450000","Age: 40 ex_fr_female$Type: Observed Year: 1888 Ex: 28.790000","Age: 40 ex_fr_female$Type: Observed Year: 1889 Ex: 29.210000","Age: 40 ex_fr_female$Type: Observed Year: 1890 Ex: 28.200000","Age: 40 ex_fr_female$Type: Observed Year: 1891 Ex: 27.950000","Age: 40 ex_fr_female$Type: Observed Year: 1892 Ex: 28.160000","Age: 40 ex_fr_female$Type: Observed Year: 1893 Ex: 28.300000","Age: 40 ex_fr_female$Type: Observed Year: 1894 Ex: 28.900000","Age: 40 ex_fr_female$Type: Observed Year: 1895 Ex: 28.450000","Age: 40 ex_fr_female$Type: Observed Year: 1896 Ex: 29.430000","Age: 40 ex_fr_female$Type: Observed Year: 1897 Ex: 29.870000","Age: 40 ex_fr_female$Type: Observed Year: 1898 Ex: 29.080000","Age: 40 ex_fr_female$Type: Observed Year: 1899 Ex: 29.030000","Age: 40 ex_fr_female$Type: Observed Year: 1900 Ex: 28.200000","Age: 40 ex_fr_female$Type: Observed Year: 1901 Ex: 29.130000","Age: 40 ex_fr_female$Type: Observed Year: 1902 Ex: 29.460000","Age: 40 ex_fr_female$Type: Observed Year: 1903 Ex: 29.600000","Age: 40 ex_fr_female$Type: Observed Year: 1904 Ex: 29.580000","Age: 40 ex_fr_female$Type: Observed Year: 1905 Ex: 29.180000","Age: 40 ex_fr_female$Type: Observed Year: 1906 Ex: 29.230000","Age: 40 ex_fr_female$Type: Observed Year: 1907 Ex: 28.800000","Age: 40 ex_fr_female$Type: Observed Year: 1908 Ex: 29.570000","Age: 40 ex_fr_female$Type: Observed Year: 1909 Ex: 29.150000","Age: 40 ex_fr_female$Type: Observed Year: 1910 Ex: 30.080000","Age: 40 ex_fr_female$Type: Observed Year: 1911 Ex: 29.520000","Age: 40 ex_fr_female$Type: Observed Year: 1912 Ex: 30.250000","Age: 40 ex_fr_female$Type: Observed Year: 1913 Ex: 30.300000","Age: 40 ex_fr_female$Type: Observed Year: 1914 Ex: 29.590000","Age: 40 ex_fr_female$Type: Observed Year: 1915 Ex: 29.610000","Age: 40 ex_fr_female$Type: Observed Year: 1916 Ex: 30.000000","Age: 40 ex_fr_female$Type: Observed Year: 1917 Ex: 29.920000","Age: 40 ex_fr_female$Type: Observed Year: 1918 Ex: 28.370000","Age: 40 ex_fr_female$Type: Observed Year: 1919 Ex: 29.800000","Age: 40 ex_fr_female$Type: Observed Year: 1920 Ex: 30.990000","Age: 40 ex_fr_female$Type: Observed Year: 1921 Ex: 30.890000","Age: 40 ex_fr_female$Type: Observed Year: 1922 Ex: 30.470000","Age: 40 ex_fr_female$Type: Observed Year: 1923 Ex: 31.220000","Age: 40 ex_fr_female$Type: Observed Year: 1924 Ex: 30.890000","Age: 40 ex_fr_female$Type: Observed Year: 1925 Ex: 30.780000","Age: 40 ex_fr_female$Type: Observed Year: 1926 Ex: 30.840000","Age: 40 ex_fr_female$Type: Observed Year: 1927 Ex: 31.320000","Age: 40 ex_fr_female$Type: Observed Year: 1928 Ex: 31.540000","Age: 40 ex_fr_female$Type: Observed Year: 1929 Ex: 30.540000","Age: 40 ex_fr_female$Type: Observed Year: 1930 Ex: 31.910000","Age: 40 ex_fr_female$Type: Observed Year: 1931 Ex: 31.380000","Age: 40 ex_fr_female$Type: Observed Year: 1932 Ex: 31.700000","Age: 40 ex_fr_female$Type: Observed Year: 1933 Ex: 31.670000","Age: 40 ex_fr_female$Type: Observed Year: 1934 Ex: 32.290000","Age: 40 ex_fr_female$Type: Observed Year: 1935 Ex: 31.770000","Age: 40 ex_fr_female$Type: Observed Year: 1936 Ex: 32.140000","Age: 40 ex_fr_female$Type: Observed Year: 1937 Ex: 32.490000","Age: 40 ex_fr_female$Type: Observed Year: 1938 Ex: 32.240000","Age: 40 ex_fr_female$Type: Observed Year: 1939 Ex: 32.290000","Age: 40 ex_fr_female$Type: Observed Year: 1940 Ex: 30.750000","Age: 40 ex_fr_female$Type: Observed Year: 1941 Ex: 31.870000","Age: 40 ex_fr_female$Type: Observed Year: 1942 Ex: 32.290000","Age: 40 ex_fr_female$Type: Observed Year: 1943 Ex: 32.370000","Age: 40 ex_fr_female$Type: Observed Year: 1944 Ex: 30.610000","Age: 40 ex_fr_female$Type: Observed Year: 1945 Ex: 32.810000","Age: 40 ex_fr_female$Type: Observed Year: 1946 Ex: 34.670000","Age: 40 ex_fr_female$Type: Observed Year: 1947 Ex: 35.000000","Age: 40 ex_fr_female$Type: Observed Year: 1948 Ex: 35.550000","Age: 40 ex_fr_female$Type: Observed Year: 1949 Ex: 34.470000","Age: 40 ex_fr_female$Type: Observed Year: 1950 Ex: 35.230000","Age: 40 ex_fr_female$Type: Observed Year: 1951 Ex: 34.760000","Age: 40 ex_fr_female$Type: Observed Year: 1952 Ex: 35.560000","Age: 40 ex_fr_female$Type: Observed Year: 1953 Ex: 35.060000","Age: 40 ex_fr_female$Type: Observed Year: 1954 Ex: 35.930000","Age: 40 ex_fr_female$Type: Observed Year: 1955 Ex: 36.000000","Age: 40 ex_fr_female$Type: Observed Year: 1956 Ex: 35.850000","Age: 40 ex_fr_female$Type: Observed Year: 1957 Ex: 36.290000","Age: 40 ex_fr_female$Type: Observed Year: 1958 Ex: 36.970000","Age: 40 ex_fr_female$Type: Observed Year: 1959 Ex: 37.010000","Age: 40 ex_fr_female$Type: Observed Year: 1960 Ex: 36.990000","Age: 40 ex_fr_female$Type: Observed Year: 1961 Ex: 37.630000","Age: 40 ex_fr_female$Type: Observed Year: 1962 Ex: 37.120000","Age: 40 ex_fr_female$Type: Observed Year: 1963 Ex: 37.040000","Age: 40 ex_fr_female$Type: Observed Year: 1964 Ex: 37.850000","Age: 40 ex_fr_female$Type: Observed Year: 1965 Ex: 37.640000","Age: 40 ex_fr_female$Type: Observed Year: 1966 Ex: 38.050000","Age: 40 ex_fr_female$Type: Observed Year: 1967 Ex: 38.040000","Age: 40 ex_fr_female$Type: Observed Year: 1968 Ex: 38.020000","Age: 40 ex_fr_female$Type: Observed Year: 1969 Ex: 37.810000","Age: 40 ex_fr_female$Type: Observed Year: 1970 Ex: 38.450000","Age: 40 ex_fr_female$Type: Observed Year: 1971 Ex: 38.470000","Age: 40 ex_fr_female$Type: Observed Year: 1972 Ex: 38.710000","Age: 40 ex_fr_female$Type: Observed Year: 1973 Ex: 38.760000","Age: 40 ex_fr_female$Type: Observed Year: 1974 Ex: 39.040000","Age: 40 ex_fr_female$Type: Observed Year: 1975 Ex: 39.080000","Age: 40 ex_fr_female$Type: Observed Year: 1976 Ex: 39.330000","Age: 40 ex_fr_female$Type: Observed Year: 1977 Ex: 39.930000","Age: 40 ex_fr_female$Type: Observed Year: 1978 Ex: 39.930000","Age: 40 ex_fr_female$Type: Observed Year: 1979 Ex: 40.210000","Age: 40 ex_fr_female$Type: Observed Year: 1980 Ex: 40.340000","Age: 40 ex_fr_female$Type: Observed Year: 1981 Ex: 40.380000","Age: 40 ex_fr_female$Type: Observed Year: 1982 Ex: 40.740000","Age: 40 ex_fr_female$Type: Observed Year: 1983 Ex: 40.640000","Age: 40 ex_fr_female$Type: Observed Year: 1984 Ex: 41.100000","Age: 40 ex_fr_female$Type: Observed Year: 1985 Ex: 41.140000","Age: 40 ex_fr_female$Type: Observed Year: 1986 Ex: 41.360000","Age: 40 ex_fr_female$Type: Observed Year: 1987 Ex: 41.860000","Age: 40 ex_fr_female$Type: Observed Year: 1988 Ex: 42.070000","Age: 40 ex_fr_female$Type: Observed Year: 1989 Ex: 42.230000","Age: 40 ex_fr_female$Type: Observed Year: 1990 Ex: 42.480000","Age: 40 ex_fr_female$Type: Observed Year: 1991 Ex: 42.700000","Age: 40 ex_fr_female$Type: Observed Year: 1992 Ex: 42.940000","Age: 40 ex_fr_female$Type: Observed Year: 1993 Ex: 42.910000","Age: 40 ex_fr_female$Type: Observed Year: 1994 Ex: 43.290000","Age: 40 ex_fr_female$Type: Observed Year: 1995 Ex: 43.260000","Age: 40 ex_fr_female$Type: Observed Year: 1996 Ex: 43.330000","Age: 40 ex_fr_female$Type: Observed Year: 1997 Ex: 43.510000","Age: 40 ex_fr_female$Type: Observed Year: 1998 Ex: 43.610000","Age: 40 ex_fr_female$Type: Observed Year: 1999 Ex: 43.670000","Age: 40 ex_fr_female$Type: Observed Year: 2000 Ex: 43.920000","Age: 40 ex_fr_female$Type: Observed Year: 2001 Ex: 44.070000","Age: 40 ex_fr_female$Type: Observed Year: 2002 Ex: 44.100000","Age: 40 ex_fr_female$Type: Observed Year: 2003 Ex: 43.960000","Age: 40 ex_fr_female$Type: Observed Year: 2004 Ex: 44.840000","Age: 40 ex_fr_female$Type: Observed Year: 2005 Ex: 44.760000","Age: 40 ex_fr_female$Type: Observed Year: 2006 Ex: 45.100000","Age: 40 ex_fr_female$Type: Observed Year: 2007 Ex: 45.250000","Age: 40 ex_fr_female$Type: Observed Year: 2008 Ex: 45.220000","Age: 40 ex_fr_female$Type: Observed Year: 2009 Ex: 45.320000","Age: 40 ex_fr_female$Type: Observed Year: 2010 Ex: 45.500000","Age: 40 ex_fr_female$Type: Observed Year: 2011 Ex: 45.820000","Age: 40 ex_fr_female$Type: Observed Year: 2012 Ex: 45.660000","Age: 40 ex_fr_female$Type: Observed Year: 2013 Ex: 45.860000","Age: 40 ex_fr_female$Type: Observed Year: 2014 Ex: 46.220000","Age: 40 ex_fr_female$Type: Observed Year: 2015 Ex: 45.940000","Age: 40 ex_fr_female$Type: Observed Year: 2016 Ex: 46.120000","Age: 40 ex_fr_female$Type: Observed Year: 2017 Ex: 46.080000"],"frame":"40","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[26.9297723166204,26.8313199630709,26.8424286101544,26.9951945851434,26.7209300474498,27.8390343846024,27.9092817754165,28.1175798311208,28.2164012606465,27.7033957008812,27.1747102172758,27.4487637219532,27.2219884056535,27.1897097180582,27.1641846788248,27.6644059789931,24.6254198005964,27.3538377233922,26.6416050929559,27.3906271734585,28.1722906285452,26.162483283246,27.4096487917643,28.0519832555216,27.3844361944232,28.251565786616,27.5465770469978,28.0778481508388,28.2396346702779,28.6294622908002,28.1509203278975,26.9302044047899,27.2944535216314,25.5405535683595,28.2732234737298,28.1385971989319,28.1035434159752,27.9945700477516,25.2360663090073,26.7061488706062,28.1271005304172,27.5575614386371,26.996895040252,27.1291529132002,28.4730737426767,28.369189444672,28.6199291088699,28.4101005183186,28.0631463324664,27.7429900027849,27.7617255656523,28.216588635701,27.9779642759071,28.1113994695131,26.4333486204955,24.6654655084146,29.0003157363666,28.4217324333737,28.9527676573881,28.1644001104172,28.6717322273759,29.0903008656514,28.6123919525806,28.371937991017,28.6072437265695,29.0243069025891,28.8969703996958,28.8356730566269,28.896106359887,28.9349302008092,28.7988862211375,28.7144816875858,29.055449923384,29.4705743995809,28.4695920700026,28.2172142324937,28.4229451513205,28.56392474806,29.1635083406281,28.7134133235678,29.6973743068063,30.1356864463192,29.3469179799405,29.2956892107602,28.4638989841803,29.3968027036839,29.725340488445,29.8581035828005,29.8424957806138,29.4437364121771,29.4880345778653,29.0642574660075,29.8340124091401,29.4166807603307,30.3433617017244,29.7842711403101,30.5134668687866,30.5597193644517,29.8501871470225,29.8741823524182,30.2553264972255,30.1795592884631,28.6322005854269,30.0540390764362,31.2507952876514,31.1487439117137,30.7289158800939,31.4809242333169,31.1502793977229,31.0356970949056,31.1031034770884,31.5769436911276,31.8004334135375,30.7946824761067,32.17187479358,31.6389834300611,31.9553309951332,31.9305689725222,32.5457937587777,32.0302442070115,32.3954316575135,32.7470022563357,32.4929057516567,32.548056773312,31.0006490618343,32.1215437029974,32.5460521430432,32.6273998588594,30.8666221773352,33.0655806919547,34.9264162133116,35.2651833284999,35.8109738169456,34.7290155325625,35.4892088013263,35.0205353589194,35.8141006550754,35.3170544641704,36.1915651312481,36.2591406457235,36.1059892872523,36.542816753823,37.2317005619982,37.2692647846901,37.2520868217941,37.8895020108852,37.3788242207523,37.2936654322901,38.1069563257558,37.8988059870743,38.3089021729052,38.2967249331377,38.2728237564238,38.0676698225901,38.704662524589,38.7276238191779,38.9695415256617,39.0148145727354,39.2998716400371,39.3354056425848,39.5910612231784,40.18499318183,40.1895754642577,40.4679855565151,40.5983501972074,40.6376337765236,40.9963820317515,40.8942654763023,41.3553658738252,41.3985617918012,41.6145355133769,42.1175893765719,42.3217462091737,42.4905447145179,42.7309736824535,42.9559330407202,43.197730484177,43.1619643284874,43.541092565457,43.5133825982871,43.5843882778515,43.767121848431,43.8615782204561,43.9207028455224,44.1760582205669,44.3247315140799,44.3518525390771,44.2153345247722,45.0924127979776,45.0086036227378,45.3513993941038,45.5045303737745,45.4752527927966,45.5713364189085,45.7575654383504,46.0732994191746,45.9144310289216,46.1100326676402,46.4756283586863,46.1949983507296,46.3762682457171,46.3298701858819],"text":["Age: 40 ex_fr_female$Type: Predicted Year: 1816 Ex: 26.929772","Age: 40 ex_fr_female$Type: Predicted Year: 1817 Ex: 26.831320","Age: 40 ex_fr_female$Type: Predicted Year: 1818 Ex: 26.842429","Age: 40 ex_fr_female$Type: Predicted Year: 1819 Ex: 26.995195","Age: 40 ex_fr_female$Type: Predicted Year: 1820 Ex: 26.720930","Age: 40 ex_fr_female$Type: Predicted Year: 1821 Ex: 27.839034","Age: 40 ex_fr_female$Type: Predicted Year: 1822 Ex: 27.909282","Age: 40 ex_fr_female$Type: Predicted Year: 1823 Ex: 28.117580","Age: 40 ex_fr_female$Type: Predicted Year: 1824 Ex: 28.216401","Age: 40 ex_fr_female$Type: Predicted Year: 1825 Ex: 27.703396","Age: 40 ex_fr_female$Type: Predicted Year: 1826 Ex: 27.174710","Age: 40 ex_fr_female$Type: Predicted Year: 1827 Ex: 27.448764","Age: 40 ex_fr_female$Type: Predicted Year: 1828 Ex: 27.221988","Age: 40 ex_fr_female$Type: Predicted Year: 1829 Ex: 27.189710","Age: 40 ex_fr_female$Type: Predicted Year: 1830 Ex: 27.164185","Age: 40 ex_fr_female$Type: Predicted Year: 1831 Ex: 27.664406","Age: 40 ex_fr_female$Type: Predicted Year: 1832 Ex: 24.625420","Age: 40 ex_fr_female$Type: Predicted Year: 1833 Ex: 27.353838","Age: 40 ex_fr_female$Type: Predicted Year: 1834 Ex: 26.641605","Age: 40 ex_fr_female$Type: Predicted Year: 1835 Ex: 27.390627","Age: 40 ex_fr_female$Type: Predicted Year: 1836 Ex: 28.172291","Age: 40 ex_fr_female$Type: Predicted Year: 1837 Ex: 26.162483","Age: 40 ex_fr_female$Type: Predicted Year: 1838 Ex: 27.409649","Age: 40 ex_fr_female$Type: Predicted Year: 1839 Ex: 28.051983","Age: 40 ex_fr_female$Type: Predicted Year: 1840 Ex: 27.384436","Age: 40 ex_fr_female$Type: Predicted Year: 1841 Ex: 28.251566","Age: 40 ex_fr_female$Type: Predicted Year: 1842 Ex: 27.546577","Age: 40 ex_fr_female$Type: Predicted Year: 1843 Ex: 28.077848","Age: 40 ex_fr_female$Type: Predicted Year: 1844 Ex: 28.239635","Age: 40 ex_fr_female$Type: Predicted Year: 1845 Ex: 28.629462","Age: 40 ex_fr_female$Type: Predicted Year: 1846 Ex: 28.150920","Age: 40 ex_fr_female$Type: Predicted Year: 1847 Ex: 26.930204","Age: 40 ex_fr_female$Type: Predicted Year: 1848 Ex: 27.294454","Age: 40 ex_fr_female$Type: Predicted Year: 1849 Ex: 25.540554","Age: 40 ex_fr_female$Type: Predicted Year: 1850 Ex: 28.273223","Age: 40 ex_fr_female$Type: Predicted Year: 1851 Ex: 28.138597","Age: 40 ex_fr_female$Type: Predicted Year: 1852 Ex: 28.103543","Age: 40 ex_fr_female$Type: Predicted Year: 1853 Ex: 27.994570","Age: 40 ex_fr_female$Type: Predicted Year: 1854 Ex: 25.236066","Age: 40 ex_fr_female$Type: Predicted Year: 1855 Ex: 26.706149","Age: 40 ex_fr_female$Type: Predicted Year: 1856 Ex: 28.127101","Age: 40 ex_fr_female$Type: Predicted Year: 1857 Ex: 27.557561","Age: 40 ex_fr_female$Type: Predicted Year: 1858 Ex: 26.996895","Age: 40 ex_fr_female$Type: Predicted Year: 1859 Ex: 27.129153","Age: 40 ex_fr_female$Type: Predicted Year: 1860 Ex: 28.473074","Age: 40 ex_fr_female$Type: Predicted Year: 1861 Ex: 28.369189","Age: 40 ex_fr_female$Type: Predicted Year: 1862 Ex: 28.619929","Age: 40 ex_fr_female$Type: Predicted Year: 1863 Ex: 28.410101","Age: 40 ex_fr_female$Type: Predicted Year: 1864 Ex: 28.063146","Age: 40 ex_fr_female$Type: Predicted Year: 1865 Ex: 27.742990","Age: 40 ex_fr_female$Type: Predicted Year: 1866 Ex: 27.761726","Age: 40 ex_fr_female$Type: Predicted Year: 1867 Ex: 28.216589","Age: 40 ex_fr_female$Type: Predicted Year: 1868 Ex: 27.977964","Age: 40 ex_fr_female$Type: Predicted Year: 1869 Ex: 28.111399","Age: 40 ex_fr_female$Type: Predicted Year: 1870 Ex: 26.433349","Age: 40 ex_fr_female$Type: Predicted Year: 1871 Ex: 24.665466","Age: 40 ex_fr_female$Type: Predicted Year: 1872 Ex: 29.000316","Age: 40 ex_fr_female$Type: Predicted Year: 1873 Ex: 28.421732","Age: 40 ex_fr_female$Type: Predicted Year: 1874 Ex: 28.952768","Age: 40 ex_fr_female$Type: Predicted Year: 1875 Ex: 28.164400","Age: 40 ex_fr_female$Type: Predicted Year: 1876 Ex: 28.671732","Age: 40 ex_fr_female$Type: Predicted Year: 1877 Ex: 29.090301","Age: 40 ex_fr_female$Type: Predicted Year: 1878 Ex: 28.612392","Age: 40 ex_fr_female$Type: Predicted Year: 1879 Ex: 28.371938","Age: 40 ex_fr_female$Type: Predicted Year: 1880 Ex: 28.607244","Age: 40 ex_fr_female$Type: Predicted Year: 1881 Ex: 29.024307","Age: 40 ex_fr_female$Type: Predicted Year: 1882 Ex: 28.896970","Age: 40 ex_fr_female$Type: Predicted Year: 1883 Ex: 28.835673","Age: 40 ex_fr_female$Type: Predicted Year: 1884 Ex: 28.896106","Age: 40 ex_fr_female$Type: Predicted Year: 1885 Ex: 28.934930","Age: 40 ex_fr_female$Type: Predicted Year: 1886 Ex: 28.798886","Age: 40 ex_fr_female$Type: Predicted Year: 1887 Ex: 28.714482","Age: 40 ex_fr_female$Type: Predicted Year: 1888 Ex: 29.055450","Age: 40 ex_fr_female$Type: Predicted Year: 1889 Ex: 29.470574","Age: 40 ex_fr_female$Type: Predicted Year: 1890 Ex: 28.469592","Age: 40 ex_fr_female$Type: Predicted Year: 1891 Ex: 28.217214","Age: 40 ex_fr_female$Type: Predicted Year: 1892 Ex: 28.422945","Age: 40 ex_fr_female$Type: Predicted Year: 1893 Ex: 28.563925","Age: 40 ex_fr_female$Type: Predicted Year: 1894 Ex: 29.163508","Age: 40 ex_fr_female$Type: Predicted Year: 1895 Ex: 28.713413","Age: 40 ex_fr_female$Type: Predicted Year: 1896 Ex: 29.697374","Age: 40 ex_fr_female$Type: Predicted Year: 1897 Ex: 30.135686","Age: 40 ex_fr_female$Type: Predicted Year: 1898 Ex: 29.346918","Age: 40 ex_fr_female$Type: Predicted Year: 1899 Ex: 29.295689","Age: 40 ex_fr_female$Type: Predicted Year: 1900 Ex: 28.463899","Age: 40 ex_fr_female$Type: Predicted Year: 1901 Ex: 29.396803","Age: 40 ex_fr_female$Type: Predicted Year: 1902 Ex: 29.725340","Age: 40 ex_fr_female$Type: Predicted Year: 1903 Ex: 29.858104","Age: 40 ex_fr_female$Type: Predicted Year: 1904 Ex: 29.842496","Age: 40 ex_fr_female$Type: Predicted Year: 1905 Ex: 29.443736","Age: 40 ex_fr_female$Type: Predicted Year: 1906 Ex: 29.488035","Age: 40 ex_fr_female$Type: Predicted Year: 1907 Ex: 29.064257","Age: 40 ex_fr_female$Type: Predicted Year: 1908 Ex: 29.834012","Age: 40 ex_fr_female$Type: Predicted Year: 1909 Ex: 29.416681","Age: 40 ex_fr_female$Type: Predicted Year: 1910 Ex: 30.343362","Age: 40 ex_fr_female$Type: Predicted Year: 1911 Ex: 29.784271","Age: 40 ex_fr_female$Type: Predicted Year: 1912 Ex: 30.513467","Age: 40 ex_fr_female$Type: Predicted Year: 1913 Ex: 30.559719","Age: 40 ex_fr_female$Type: Predicted Year: 1914 Ex: 29.850187","Age: 40 ex_fr_female$Type: Predicted Year: 1915 Ex: 29.874182","Age: 40 ex_fr_female$Type: Predicted Year: 1916 Ex: 30.255326","Age: 40 ex_fr_female$Type: Predicted Year: 1917 Ex: 30.179559","Age: 40 ex_fr_female$Type: Predicted Year: 1918 Ex: 28.632201","Age: 40 ex_fr_female$Type: Predicted Year: 1919 Ex: 30.054039","Age: 40 ex_fr_female$Type: Predicted Year: 1920 Ex: 31.250795","Age: 40 ex_fr_female$Type: Predicted Year: 1921 Ex: 31.148744","Age: 40 ex_fr_female$Type: Predicted Year: 1922 Ex: 30.728916","Age: 40 ex_fr_female$Type: Predicted Year: 1923 Ex: 31.480924","Age: 40 ex_fr_female$Type: Predicted Year: 1924 Ex: 31.150279","Age: 40 ex_fr_female$Type: Predicted Year: 1925 Ex: 31.035697","Age: 40 ex_fr_female$Type: Predicted Year: 1926 Ex: 31.103103","Age: 40 ex_fr_female$Type: Predicted Year: 1927 Ex: 31.576944","Age: 40 ex_fr_female$Type: Predicted Year: 1928 Ex: 31.800433","Age: 40 ex_fr_female$Type: Predicted Year: 1929 Ex: 30.794682","Age: 40 ex_fr_female$Type: Predicted Year: 1930 Ex: 32.171875","Age: 40 ex_fr_female$Type: Predicted Year: 1931 Ex: 31.638983","Age: 40 ex_fr_female$Type: Predicted Year: 1932 Ex: 31.955331","Age: 40 ex_fr_female$Type: Predicted Year: 1933 Ex: 31.930569","Age: 40 ex_fr_female$Type: Predicted Year: 1934 Ex: 32.545794","Age: 40 ex_fr_female$Type: Predicted Year: 1935 Ex: 32.030244","Age: 40 ex_fr_female$Type: Predicted Year: 1936 Ex: 32.395432","Age: 40 ex_fr_female$Type: Predicted Year: 1937 Ex: 32.747002","Age: 40 ex_fr_female$Type: Predicted Year: 1938 Ex: 32.492906","Age: 40 ex_fr_female$Type: Predicted Year: 1939 Ex: 32.548057","Age: 40 ex_fr_female$Type: Predicted Year: 1940 Ex: 31.000649","Age: 40 ex_fr_female$Type: Predicted Year: 1941 Ex: 32.121544","Age: 40 ex_fr_female$Type: Predicted Year: 1942 Ex: 32.546052","Age: 40 ex_fr_female$Type: Predicted Year: 1943 Ex: 32.627400","Age: 40 ex_fr_female$Type: Predicted Year: 1944 Ex: 30.866622","Age: 40 ex_fr_female$Type: Predicted Year: 1945 Ex: 33.065581","Age: 40 ex_fr_female$Type: Predicted Year: 1946 Ex: 34.926416","Age: 40 ex_fr_female$Type: Predicted Year: 1947 Ex: 35.265183","Age: 40 ex_fr_female$Type: Predicted Year: 1948 Ex: 35.810974","Age: 40 ex_fr_female$Type: Predicted Year: 1949 Ex: 34.729016","Age: 40 ex_fr_female$Type: Predicted Year: 1950 Ex: 35.489209","Age: 40 ex_fr_female$Type: Predicted Year: 1951 Ex: 35.020535","Age: 40 ex_fr_female$Type: Predicted Year: 1952 Ex: 35.814101","Age: 40 ex_fr_female$Type: Predicted Year: 1953 Ex: 35.317054","Age: 40 ex_fr_female$Type: Predicted Year: 1954 Ex: 36.191565","Age: 40 ex_fr_female$Type: Predicted Year: 1955 Ex: 36.259141","Age: 40 ex_fr_female$Type: Predicted Year: 1956 Ex: 36.105989","Age: 40 ex_fr_female$Type: Predicted Year: 1957 Ex: 36.542817","Age: 40 ex_fr_female$Type: Predicted Year: 1958 Ex: 37.231701","Age: 40 ex_fr_female$Type: Predicted Year: 1959 Ex: 37.269265","Age: 40 ex_fr_female$Type: Predicted Year: 1960 Ex: 37.252087","Age: 40 ex_fr_female$Type: Predicted Year: 1961 Ex: 37.889502","Age: 40 ex_fr_female$Type: Predicted Year: 1962 Ex: 37.378824","Age: 40 ex_fr_female$Type: Predicted Year: 1963 Ex: 37.293665","Age: 40 ex_fr_female$Type: Predicted Year: 1964 Ex: 38.106956","Age: 40 ex_fr_female$Type: Predicted Year: 1965 Ex: 37.898806","Age: 40 ex_fr_female$Type: Predicted Year: 1966 Ex: 38.308902","Age: 40 ex_fr_female$Type: Predicted Year: 1967 Ex: 38.296725","Age: 40 ex_fr_female$Type: Predicted Year: 1968 Ex: 38.272824","Age: 40 ex_fr_female$Type: Predicted Year: 1969 Ex: 38.067670","Age: 40 ex_fr_female$Type: Predicted Year: 1970 Ex: 38.704663","Age: 40 ex_fr_female$Type: Predicted Year: 1971 Ex: 38.727624","Age: 40 ex_fr_female$Type: Predicted Year: 1972 Ex: 38.969542","Age: 40 ex_fr_female$Type: Predicted Year: 1973 Ex: 39.014815","Age: 40 ex_fr_female$Type: Predicted Year: 1974 Ex: 39.299872","Age: 40 ex_fr_female$Type: Predicted Year: 1975 Ex: 39.335406","Age: 40 ex_fr_female$Type: Predicted Year: 1976 Ex: 39.591061","Age: 40 ex_fr_female$Type: Predicted Year: 1977 Ex: 40.184993","Age: 40 ex_fr_female$Type: Predicted Year: 1978 Ex: 40.189575","Age: 40 ex_fr_female$Type: Predicted Year: 1979 Ex: 40.467986","Age: 40 ex_fr_female$Type: Predicted Year: 1980 Ex: 40.598350","Age: 40 ex_fr_female$Type: Predicted Year: 1981 Ex: 40.637634","Age: 40 ex_fr_female$Type: Predicted Year: 1982 Ex: 40.996382","Age: 40 ex_fr_female$Type: Predicted Year: 1983 Ex: 40.894265","Age: 40 ex_fr_female$Type: Predicted Year: 1984 Ex: 41.355366","Age: 40 ex_fr_female$Type: Predicted Year: 1985 Ex: 41.398562","Age: 40 ex_fr_female$Type: Predicted Year: 1986 Ex: 41.614536","Age: 40 ex_fr_female$Type: Predicted Year: 1987 Ex: 42.117589","Age: 40 ex_fr_female$Type: Predicted Year: 1988 Ex: 42.321746","Age: 40 ex_fr_female$Type: Predicted Year: 1989 Ex: 42.490545","Age: 40 ex_fr_female$Type: Predicted Year: 1990 Ex: 42.730974","Age: 40 ex_fr_female$Type: Predicted Year: 1991 Ex: 42.955933","Age: 40 ex_fr_female$Type: Predicted Year: 1992 Ex: 43.197730","Age: 40 ex_fr_female$Type: Predicted Year: 1993 Ex: 43.161964","Age: 40 ex_fr_female$Type: Predicted Year: 1994 Ex: 43.541093","Age: 40 ex_fr_female$Type: Predicted Year: 1995 Ex: 43.513383","Age: 40 ex_fr_female$Type: Predicted Year: 1996 Ex: 43.584388","Age: 40 ex_fr_female$Type: Predicted Year: 1997 Ex: 43.767122","Age: 40 ex_fr_female$Type: Predicted Year: 1998 Ex: 43.861578","Age: 40 ex_fr_female$Type: Predicted Year: 1999 Ex: 43.920703","Age: 40 ex_fr_female$Type: Predicted Year: 2000 Ex: 44.176058","Age: 40 ex_fr_female$Type: Predicted Year: 2001 Ex: 44.324732","Age: 40 ex_fr_female$Type: Predicted Year: 2002 Ex: 44.351853","Age: 40 ex_fr_female$Type: Predicted Year: 2003 Ex: 44.215335","Age: 40 ex_fr_female$Type: Predicted Year: 2004 Ex: 45.092413","Age: 40 ex_fr_female$Type: Predicted Year: 2005 Ex: 45.008604","Age: 40 ex_fr_female$Type: Predicted Year: 2006 Ex: 45.351399","Age: 40 ex_fr_female$Type: Predicted Year: 2007 Ex: 45.504530","Age: 40 ex_fr_female$Type: Predicted Year: 2008 Ex: 45.475253","Age: 40 ex_fr_female$Type: Predicted Year: 2009 Ex: 45.571336","Age: 40 ex_fr_female$Type: Predicted Year: 2010 Ex: 45.757565","Age: 40 ex_fr_female$Type: Predicted Year: 2011 Ex: 46.073299","Age: 40 ex_fr_female$Type: Predicted Year: 2012 Ex: 45.914431","Age: 40 ex_fr_female$Type: Predicted Year: 2013 Ex: 46.110033","Age: 40 ex_fr_female$Type: Predicted Year: 2014 Ex: 46.475628","Age: 40 ex_fr_female$Type: Predicted Year: 2015 Ex: 46.194998","Age: 40 ex_fr_female$Type: Predicted Year: 2016 Ex: 46.376268","Age: 40 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1926 Ex: 30.050000","Age: 41 ex_fr_female$Type: Observed Year: 1927 Ex: 30.510000","Age: 41 ex_fr_female$Type: Observed Year: 1928 Ex: 30.730000","Age: 41 ex_fr_female$Type: Observed Year: 1929 Ex: 29.730000","Age: 41 ex_fr_female$Type: Observed Year: 1930 Ex: 31.100000","Age: 41 ex_fr_female$Type: Observed Year: 1931 Ex: 30.570000","Age: 41 ex_fr_female$Type: Observed Year: 1932 Ex: 30.890000","Age: 41 ex_fr_female$Type: Observed Year: 1933 Ex: 30.860000","Age: 41 ex_fr_female$Type: Observed Year: 1934 Ex: 31.460000","Age: 41 ex_fr_female$Type: Observed Year: 1935 Ex: 30.940000","Age: 41 ex_fr_female$Type: Observed Year: 1936 Ex: 31.300000","Age: 41 ex_fr_female$Type: Observed Year: 1937 Ex: 31.660000","Age: 41 ex_fr_female$Type: Observed Year: 1938 Ex: 31.400000","Age: 41 ex_fr_female$Type: Observed Year: 1939 Ex: 31.450000","Age: 41 ex_fr_female$Type: Observed Year: 1940 Ex: 29.920000","Age: 41 ex_fr_female$Type: Observed Year: 1941 Ex: 31.040000","Age: 41 ex_fr_female$Type: Observed Year: 1942 Ex: 31.450000","Age: 41 ex_fr_female$Type: Observed Year: 1943 Ex: 31.580000","Age: 41 ex_fr_female$Type: Observed Year: 1944 Ex: 29.870000","Age: 41 ex_fr_female$Type: Observed Year: 1945 Ex: 31.980000","Age: 41 ex_fr_female$Type: Observed Year: 1946 Ex: 33.790000","Age: 41 ex_fr_female$Type: Observed Year: 1947 Ex: 34.120000","Age: 41 ex_fr_female$Type: Observed Year: 1948 Ex: 34.660000","Age: 41 ex_fr_female$Type: Observed Year: 1949 Ex: 33.580000","Age: 41 ex_fr_female$Type: Observed Year: 1950 Ex: 34.330000","Age: 41 ex_fr_female$Type: Observed Year: 1951 Ex: 33.860000","Age: 41 ex_fr_female$Type: Observed Year: 1952 Ex: 34.660000","Age: 41 ex_fr_female$Type: Observed Year: 1953 Ex: 34.150000","Age: 41 ex_fr_female$Type: Observed Year: 1954 Ex: 35.020000","Age: 41 ex_fr_female$Type: Observed Year: 1955 Ex: 35.090000","Age: 41 ex_fr_female$Type: Observed Year: 1956 Ex: 34.940000","Age: 41 ex_fr_female$Type: Observed Year: 1957 Ex: 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1973 Ex: 37.820000","Age: 41 ex_fr_female$Type: Observed Year: 1974 Ex: 38.110000","Age: 41 ex_fr_female$Type: Observed Year: 1975 Ex: 38.140000","Age: 41 ex_fr_female$Type: Observed Year: 1976 Ex: 38.400000","Age: 41 ex_fr_female$Type: Observed Year: 1977 Ex: 38.990000","Age: 41 ex_fr_female$Type: Observed Year: 1978 Ex: 38.990000","Age: 41 ex_fr_female$Type: Observed Year: 1979 Ex: 39.270000","Age: 41 ex_fr_female$Type: Observed Year: 1980 Ex: 39.400000","Age: 41 ex_fr_female$Type: Observed Year: 1981 Ex: 39.440000","Age: 41 ex_fr_female$Type: Observed Year: 1982 Ex: 39.800000","Age: 41 ex_fr_female$Type: Observed Year: 1983 Ex: 39.690000","Age: 41 ex_fr_female$Type: Observed Year: 1984 Ex: 40.160000","Age: 41 ex_fr_female$Type: Observed Year: 1985 Ex: 40.190000","Age: 41 ex_fr_female$Type: Observed Year: 1986 Ex: 40.410000","Age: 41 ex_fr_female$Type: Observed Year: 1987 Ex: 40.910000","Age: 41 ex_fr_female$Type: Observed Year: 1988 Ex: 41.120000","Age: 41 ex_fr_female$Type: Observed Year: 1989 Ex: 41.290000","Age: 41 ex_fr_female$Type: Observed Year: 1990 Ex: 41.530000","Age: 41 ex_fr_female$Type: Observed Year: 1991 Ex: 41.750000","Age: 41 ex_fr_female$Type: Observed Year: 1992 Ex: 41.990000","Age: 41 ex_fr_female$Type: Observed Year: 1993 Ex: 41.960000","Age: 41 ex_fr_female$Type: Observed Year: 1994 Ex: 42.340000","Age: 41 ex_fr_female$Type: Observed Year: 1995 Ex: 42.320000","Age: 41 ex_fr_female$Type: Observed Year: 1996 Ex: 42.380000","Age: 41 ex_fr_female$Type: Observed Year: 1997 Ex: 42.560000","Age: 41 ex_fr_female$Type: Observed Year: 1998 Ex: 42.650000","Age: 41 ex_fr_female$Type: Observed Year: 1999 Ex: 42.720000","Age: 41 ex_fr_female$Type: Observed Year: 2000 Ex: 42.970000","Age: 41 ex_fr_female$Type: Observed Year: 2001 Ex: 43.120000","Age: 41 ex_fr_female$Type: Observed Year: 2002 Ex: 43.150000","Age: 41 ex_fr_female$Type: Observed Year: 2003 Ex: 43.010000","Age: 41 ex_fr_female$Type: Observed Year: 2004 Ex: 43.890000","Age: 41 ex_fr_female$Type: Observed Year: 2005 Ex: 43.800000","Age: 41 ex_fr_female$Type: Observed Year: 2006 Ex: 44.140000","Age: 41 ex_fr_female$Type: Observed Year: 2007 Ex: 44.290000","Age: 41 ex_fr_female$Type: Observed Year: 2008 Ex: 44.260000","Age: 41 ex_fr_female$Type: Observed Year: 2009 Ex: 44.360000","Age: 41 ex_fr_female$Type: Observed Year: 2010 Ex: 44.540000","Age: 41 ex_fr_female$Type: Observed Year: 2011 Ex: 44.860000","Age: 41 ex_fr_female$Type: Observed Year: 2012 Ex: 44.700000","Age: 41 ex_fr_female$Type: Observed Year: 2013 Ex: 44.890000","Age: 41 ex_fr_female$Type: Observed Year: 2014 Ex: 45.260000","Age: 41 ex_fr_female$Type: Observed Year: 2015 Ex: 44.980000","Age: 41 ex_fr_female$Type: Observed Year: 2016 Ex: 45.160000","Age: 41 ex_fr_female$Type: Observed Year: 2017 Ex: 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41 ex_fr_female$Type: Predicted Year: 1816 Ex: 26.256067","Age: 41 ex_fr_female$Type: Predicted Year: 1817 Ex: 26.166531","Age: 41 ex_fr_female$Type: Predicted Year: 1818 Ex: 26.183385","Age: 41 ex_fr_female$Type: Predicted Year: 1819 Ex: 26.337323","Age: 41 ex_fr_female$Type: Predicted Year: 1820 Ex: 26.043585","Age: 41 ex_fr_female$Type: Predicted Year: 1821 Ex: 27.162720","Age: 41 ex_fr_female$Type: Predicted Year: 1822 Ex: 27.225757","Age: 41 ex_fr_female$Type: Predicted Year: 1823 Ex: 27.417190","Age: 41 ex_fr_female$Type: Predicted Year: 1824 Ex: 27.534180","Age: 41 ex_fr_female$Type: Predicted Year: 1825 Ex: 27.024649","Age: 41 ex_fr_female$Type: Predicted Year: 1826 Ex: 26.494309","Age: 41 ex_fr_female$Type: Predicted Year: 1827 Ex: 26.765102","Age: 41 ex_fr_female$Type: Predicted Year: 1828 Ex: 26.547563","Age: 41 ex_fr_female$Type: Predicted Year: 1829 Ex: 26.507598","Age: 41 ex_fr_female$Type: Predicted Year: 1830 Ex: 26.494994","Age: 41 ex_fr_female$Type: Predicted Year: 1831 Ex: 26.989597","Age: 41 ex_fr_female$Type: Predicted Year: 1832 Ex: 24.029499","Age: 41 ex_fr_female$Type: Predicted Year: 1833 Ex: 26.701141","Age: 41 ex_fr_female$Type: Predicted Year: 1834 Ex: 25.988967","Age: 41 ex_fr_female$Type: Predicted Year: 1835 Ex: 26.715807","Age: 41 ex_fr_female$Type: Predicted Year: 1836 Ex: 27.481727","Age: 41 ex_fr_female$Type: Predicted Year: 1837 Ex: 25.508940","Age: 41 ex_fr_female$Type: Predicted Year: 1838 Ex: 26.741868","Age: 41 ex_fr_female$Type: Predicted Year: 1839 Ex: 27.369549","Age: 41 ex_fr_female$Type: Predicted Year: 1840 Ex: 26.710085","Age: 41 ex_fr_female$Type: Predicted Year: 1841 Ex: 27.573397","Age: 41 ex_fr_female$Type: Predicted Year: 1842 Ex: 26.876380","Age: 41 ex_fr_female$Type: Predicted Year: 1843 Ex: 27.395991","Age: 41 ex_fr_female$Type: Predicted Year: 1844 Ex: 27.546458","Age: 41 ex_fr_female$Type: Predicted Year: 1845 Ex: 27.928939","Age: 41 ex_fr_female$Type: Predicted Year: 1846 Ex: 27.452290","Age: 41 ex_fr_female$Type: Predicted Year: 1847 Ex: 26.248746","Age: 41 ex_fr_female$Type: Predicted Year: 1848 Ex: 26.623623","Age: 41 ex_fr_female$Type: Predicted Year: 1849 Ex: 24.930951","Age: 41 ex_fr_female$Type: Predicted Year: 1850 Ex: 27.580699","Age: 41 ex_fr_female$Type: Predicted Year: 1851 Ex: 27.446539","Age: 41 ex_fr_female$Type: Predicted Year: 1852 Ex: 27.418632","Age: 41 ex_fr_female$Type: Predicted Year: 1853 Ex: 27.296459","Age: 41 ex_fr_female$Type: Predicted Year: 1854 Ex: 24.616943","Age: 41 ex_fr_female$Type: Predicted Year: 1855 Ex: 26.031540","Age: 41 ex_fr_female$Type: Predicted Year: 1856 Ex: 27.437428","Age: 41 ex_fr_female$Type: Predicted Year: 1857 Ex: 26.863681","Age: 41 ex_fr_female$Type: Predicted Year: 1858 Ex: 26.309269","Age: 41 ex_fr_female$Type: Predicted Year: 1859 Ex: 26.444972","Age: 41 ex_fr_female$Type: Predicted Year: 1860 Ex: 27.757036","Age: 41 ex_fr_female$Type: Predicted Year: 1861 Ex: 27.655757","Age: 41 ex_fr_female$Type: Predicted Year: 1862 Ex: 27.902825","Age: 41 ex_fr_female$Type: Predicted Year: 1863 Ex: 27.693141","Age: 41 ex_fr_female$Type: Predicted Year: 1864 Ex: 27.352416","Age: 41 ex_fr_female$Type: Predicted Year: 1865 Ex: 27.046248","Age: 41 ex_fr_female$Type: Predicted Year: 1866 Ex: 27.079255","Age: 41 ex_fr_female$Type: Predicted Year: 1867 Ex: 27.507188","Age: 41 ex_fr_female$Type: Predicted Year: 1868 Ex: 27.274671","Age: 41 ex_fr_female$Type: Predicted Year: 1869 Ex: 27.410105","Age: 41 ex_fr_female$Type: Predicted Year: 1870 Ex: 25.780571","Age: 41 ex_fr_female$Type: Predicted Year: 1871 Ex: 24.107839","Age: 41 ex_fr_female$Type: Predicted Year: 1872 Ex: 28.302589","Age: 41 ex_fr_female$Type: Predicted Year: 1873 Ex: 27.717304","Age: 41 ex_fr_female$Type: Predicted Year: 1874 Ex: 28.230392","Age: 41 ex_fr_female$Type: Predicted Year: 1875 Ex: 27.453893","Age: 41 ex_fr_female$Type: Predicted Year: 1876 Ex: 27.955719","Age: 41 ex_fr_female$Type: Predicted Year: 1877 Ex: 28.368978","Age: 41 ex_fr_female$Type: Predicted Year: 1878 Ex: 27.891521","Age: 41 ex_fr_female$Type: Predicted Year: 1879 Ex: 27.651776","Age: 41 ex_fr_female$Type: Predicted Year: 1880 Ex: 27.892568","Age: 41 ex_fr_female$Type: Predicted Year: 1881 Ex: 28.306374","Age: 41 ex_fr_female$Type: Predicted Year: 1882 Ex: 28.179212","Age: 41 ex_fr_female$Type: Predicted Year: 1883 Ex: 28.122171","Age: 41 ex_fr_female$Type: Predicted Year: 1884 Ex: 28.197848","Age: 41 ex_fr_female$Type: Predicted Year: 1885 Ex: 28.236222","Age: 41 ex_fr_female$Type: Predicted Year: 1886 Ex: 28.103313","Age: 41 ex_fr_female$Type: Predicted Year: 1887 Ex: 28.023134","Age: 41 ex_fr_female$Type: Predicted Year: 1888 Ex: 28.353113","Age: 41 ex_fr_female$Type: Predicted Year: 1889 Ex: 28.752666","Age: 41 ex_fr_female$Type: Predicted Year: 1890 Ex: 27.746739","Age: 41 ex_fr_female$Type: Predicted Year: 1891 Ex: 27.487102","Age: 41 ex_fr_female$Type: Predicted Year: 1892 Ex: 27.687506","Age: 41 ex_fr_female$Type: Predicted Year: 1893 Ex: 27.832654","Age: 41 ex_fr_female$Type: Predicted Year: 1894 Ex: 28.430456","Age: 41 ex_fr_female$Type: Predicted Year: 1895 Ex: 27.984999","Age: 41 ex_fr_female$Type: Predicted Year: 1896 Ex: 28.953090","Age: 41 ex_fr_female$Type: Predicted Year: 1897 Ex: 29.390159","Age: 41 ex_fr_female$Type: Predicted Year: 1898 Ex: 28.614992","Age: 41 ex_fr_female$Type: Predicted Year: 1899 Ex: 28.569972","Age: 41 ex_fr_female$Type: Predicted Year: 1900 Ex: 27.732800","Age: 41 ex_fr_female$Type: Predicted Year: 1901 Ex: 28.674091","Age: 41 ex_fr_female$Type: Predicted Year: 1902 Ex: 28.975995","Age: 41 ex_fr_female$Type: Predicted Year: 1903 Ex: 29.117597","Age: 41 ex_fr_female$Type: Predicted Year: 1904 Ex: 29.113990","Age: 41 ex_fr_female$Type: Predicted Year: 1905 Ex: 28.705992","Age: 41 ex_fr_female$Type: Predicted Year: 1906 Ex: 28.738116","Age: 41 ex_fr_female$Type: Predicted Year: 1907 Ex: 28.322210","Age: 41 ex_fr_female$Type: Predicted Year: 1908 Ex: 29.072584","Age: 41 ex_fr_female$Type: Predicted Year: 1909 Ex: 28.640783","Age: 41 ex_fr_female$Type: Predicted Year: 1910 Ex: 29.567127","Age: 41 ex_fr_female$Type: Predicted Year: 1911 Ex: 29.012107","Age: 41 ex_fr_female$Type: Predicted Year: 1912 Ex: 29.742137","Age: 41 ex_fr_female$Type: Predicted Year: 1913 Ex: 29.794194","Age: 41 ex_fr_female$Type: Predicted Year: 1914 Ex: 29.086227","Age: 41 ex_fr_female$Type: Predicted Year: 1915 Ex: 29.110416","Age: 41 ex_fr_female$Type: Predicted Year: 1916 Ex: 29.476334","Age: 41 ex_fr_female$Type: Predicted Year: 1917 Ex: 29.392828","Age: 41 ex_fr_female$Type: Predicted Year: 1918 Ex: 27.976666","Age: 41 ex_fr_female$Type: Predicted Year: 1919 Ex: 29.307811","Age: 41 ex_fr_female$Type: Predicted Year: 1920 Ex: 30.466497","Age: 41 ex_fr_female$Type: Predicted Year: 1921 Ex: 30.359101","Age: 41 ex_fr_female$Type: Predicted Year: 1922 Ex: 29.939131","Age: 41 ex_fr_female$Type: Predicted Year: 1923 Ex: 30.686699","Age: 41 ex_fr_female$Type: Predicted Year: 1924 Ex: 30.366511","Age: 41 ex_fr_female$Type: Predicted Year: 1925 Ex: 30.245893","Age: 41 ex_fr_female$Type: Predicted Year: 1926 Ex: 30.314071","Age: 41 ex_fr_female$Type: Predicted Year: 1927 Ex: 30.770220","Age: 41 ex_fr_female$Type: Predicted Year: 1928 Ex: 30.991005","Age: 41 ex_fr_female$Type: Predicted Year: 1929 Ex: 29.990410","Age: 41 ex_fr_female$Type: Predicted Year: 1930 Ex: 31.358017","Age: 41 ex_fr_female$Type: Predicted Year: 1931 Ex: 30.827319","Age: 41 ex_fr_female$Type: Predicted Year: 1932 Ex: 31.145264","Age: 41 ex_fr_female$Type: Predicted Year: 1933 Ex: 31.117190","Age: 41 ex_fr_female$Type: Predicted Year: 1934 Ex: 31.720921","Age: 41 ex_fr_female$Type: Predicted Year: 1935 Ex: 31.200017","Age: 41 ex_fr_female$Type: Predicted Year: 1936 Ex: 31.564285","Age: 41 ex_fr_female$Type: Predicted Year: 1937 Ex: 31.919986","Age: 41 ex_fr_female$Type: Predicted Year: 1938 Ex: 31.654236","Age: 41 ex_fr_female$Type: Predicted Year: 1939 Ex: 31.709021","Age: 41 ex_fr_female$Type: Predicted Year: 1940 Ex: 30.176840","Age: 41 ex_fr_female$Type: Predicted Year: 1941 Ex: 31.296260","Age: 41 ex_fr_female$Type: Predicted Year: 1942 Ex: 31.706040","Age: 41 ex_fr_female$Type: Predicted Year: 1943 Ex: 31.832705","Age: 41 ex_fr_female$Type: Predicted Year: 1944 Ex: 30.129516","Age: 41 ex_fr_female$Type: Predicted Year: 1945 Ex: 32.233072","Age: 41 ex_fr_female$Type: Predicted Year: 1946 Ex: 34.050920","Age: 41 ex_fr_female$Type: Predicted Year: 1947 Ex: 34.379749","Age: 41 ex_fr_female$Type: Predicted Year: 1948 Ex: 34.919899","Age: 41 ex_fr_female$Type: Predicted Year: 1949 Ex: 33.844562","Age: 41 ex_fr_female$Type: Predicted Year: 1950 Ex: 34.588719","Age: 41 ex_fr_female$Type: Predicted Year: 1951 Ex: 34.120790","Age: 41 ex_fr_female$Type: Predicted Year: 1952 Ex: 34.915244","Age: 41 ex_fr_female$Type: Predicted Year: 1953 Ex: 34.412933","Age: 41 ex_fr_female$Type: Predicted Year: 1954 Ex: 35.282337","Age: 41 ex_fr_female$Type: Predicted Year: 1955 Ex: 35.347933","Age: 41 ex_fr_female$Type: Predicted Year: 1956 Ex: 35.201184","Age: 41 ex_fr_female$Type: Predicted Year: 1957 Ex: 35.623643","Age: 41 ex_fr_female$Type: Predicted Year: 1958 Ex: 36.309654","Age: 41 ex_fr_female$Type: Predicted Year: 1959 Ex: 36.352089","Age: 41 ex_fr_female$Type: Predicted Year: 1960 Ex: 36.333767","Age: 41 ex_fr_female$Type: Predicted Year: 1961 Ex: 36.958737","Age: 41 ex_fr_female$Type: Predicted Year: 1962 Ex: 36.455612","Age: 41 ex_fr_female$Type: Predicted Year: 1963 Ex: 36.366958","Age: 41 ex_fr_female$Type: Predicted Year: 1964 Ex: 37.176970","Age: 41 ex_fr_female$Type: Predicted Year: 1965 Ex: 36.968807","Age: 41 ex_fr_female$Type: Predicted Year: 1966 Ex: 37.381565","Age: 41 ex_fr_female$Type: Predicted Year: 1967 Ex: 37.365956","Age: 41 ex_fr_female$Type: Predicted Year: 1968 Ex: 37.337092","Age: 41 ex_fr_female$Type: Predicted Year: 1969 Ex: 37.138740","Age: 41 ex_fr_female$Type: Predicted Year: 1970 Ex: 37.775024","Age: 41 ex_fr_female$Type: Predicted Year: 1971 Ex: 37.792283","Age: 41 ex_fr_female$Type: Predicted Year: 1972 Ex: 38.038464","Age: 41 ex_fr_female$Type: Predicted Year: 1973 Ex: 38.080731","Age: 41 ex_fr_female$Type: Predicted Year: 1974 Ex: 38.369386","Age: 41 ex_fr_female$Type: Predicted Year: 1975 Ex: 38.401482","Age: 41 ex_fr_female$Type: Predicted Year: 1976 Ex: 38.651699","Age: 41 ex_fr_female$Type: Predicted Year: 1977 Ex: 39.247745","Age: 41 ex_fr_female$Type: Predicted Year: 1978 Ex: 39.250347","Age: 41 ex_fr_female$Type: Predicted Year: 1979 Ex: 39.528783","Age: 41 ex_fr_female$Type: Predicted Year: 1980 Ex: 39.658543","Age: 41 ex_fr_female$Type: Predicted Year: 1981 Ex: 39.694670","Age: 41 ex_fr_female$Type: Predicted Year: 1982 Ex: 40.053522","Age: 41 ex_fr_female$Type: Predicted Year: 1983 Ex: 39.949239","Age: 41 ex_fr_female$Type: Predicted Year: 1984 Ex: 40.415467","Age: 41 ex_fr_female$Type: Predicted Year: 1985 Ex: 40.450126","Age: 41 ex_fr_female$Type: Predicted Year: 1986 Ex: 40.671313","Age: 41 ex_fr_female$Type: Predicted Year: 1987 Ex: 41.168811","Age: 41 ex_fr_female$Type: Predicted Year: 1988 Ex: 41.372381","Age: 41 ex_fr_female$Type: Predicted Year: 1989 Ex: 41.543486","Age: 41 ex_fr_female$Type: Predicted Year: 1990 Ex: 41.781258","Age: 41 ex_fr_female$Type: Predicted Year: 1991 Ex: 42.009036","Age: 41 ex_fr_female$Type: Predicted Year: 1992 Ex: 42.249854","Age: 41 ex_fr_female$Type: Predicted Year: 1993 Ex: 42.215325","Age: 41 ex_fr_female$Type: Predicted Year: 1994 Ex: 42.594928","Age: 41 ex_fr_female$Type: Predicted Year: 1995 Ex: 42.570628","Age: 41 ex_fr_female$Type: Predicted Year: 1996 Ex: 42.636552","Age: 41 ex_fr_female$Type: Predicted Year: 1997 Ex: 42.817341","Age: 41 ex_fr_female$Type: Predicted Year: 1998 Ex: 42.908434","Age: 41 ex_fr_female$Type: Predicted Year: 1999 Ex: 42.971970","Age: 41 ex_fr_female$Type: Predicted Year: 2000 Ex: 43.224566","Age: 41 ex_fr_female$Type: Predicted Year: 2001 Ex: 43.373843","Age: 41 ex_fr_female$Type: Predicted Year: 2002 Ex: 43.399677","Age: 41 ex_fr_female$Type: Predicted Year: 2003 Ex: 43.263010","Age: 41 ex_fr_female$Type: Predicted Year: 2004 Ex: 44.138813","Age: 41 ex_fr_female$Type: Predicted Year: 2005 Ex: 44.052689","Age: 41 ex_fr_female$Type: Predicted Year: 2006 Ex: 44.393131","Age: 41 ex_fr_female$Type: Predicted Year: 2007 Ex: 44.544602","Age: 41 ex_fr_female$Type: Predicted Year: 2008 Ex: 44.517099","Age: 41 ex_fr_female$Type: Predicted Year: 2009 Ex: 44.612370","Age: 41 ex_fr_female$Type: Predicted Year: 2010 Ex: 44.795145","Age: 41 ex_fr_female$Type: Predicted Year: 2011 Ex: 45.111597","Age: 41 ex_fr_female$Type: Predicted Year: 2012 Ex: 44.948050","Age: 41 ex_fr_female$Type: Predicted Year: 2013 Ex: 45.146079","Age: 41 ex_fr_female$Type: Predicted Year: 2014 Ex: 45.509203","Age: 41 ex_fr_female$Type: Predicted Year: 2015 Ex: 45.228825","Age: 41 ex_fr_female$Type: Predicted Year: 2016 Ex: 45.408393","Age: 41 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1926 Ex: 29.260000","Age: 42 ex_fr_female$Type: Observed Year: 1927 Ex: 29.700000","Age: 42 ex_fr_female$Type: Observed Year: 1928 Ex: 29.920000","Age: 42 ex_fr_female$Type: Observed Year: 1929 Ex: 28.920000","Age: 42 ex_fr_female$Type: Observed Year: 1930 Ex: 30.290000","Age: 42 ex_fr_female$Type: Observed Year: 1931 Ex: 29.750000","Age: 42 ex_fr_female$Type: Observed Year: 1932 Ex: 30.070000","Age: 42 ex_fr_female$Type: Observed Year: 1933 Ex: 30.040000","Age: 42 ex_fr_female$Type: Observed Year: 1934 Ex: 30.640000","Age: 42 ex_fr_female$Type: Observed Year: 1935 Ex: 30.130000","Age: 42 ex_fr_female$Type: Observed Year: 1936 Ex: 30.480000","Age: 42 ex_fr_female$Type: Observed Year: 1937 Ex: 30.830000","Age: 42 ex_fr_female$Type: Observed Year: 1938 Ex: 30.570000","Age: 42 ex_fr_female$Type: Observed Year: 1939 Ex: 30.610000","Age: 42 ex_fr_female$Type: Observed Year: 1940 Ex: 29.090000","Age: 42 ex_fr_female$Type: Observed Year: 1941 Ex: 30.210000","Age: 42 ex_fr_female$Type: Observed Year: 1942 Ex: 30.610000","Age: 42 ex_fr_female$Type: Observed Year: 1943 Ex: 30.770000","Age: 42 ex_fr_female$Type: Observed Year: 1944 Ex: 29.140000","Age: 42 ex_fr_female$Type: Observed Year: 1945 Ex: 31.140000","Age: 42 ex_fr_female$Type: Observed Year: 1946 Ex: 32.910000","Age: 42 ex_fr_female$Type: Observed Year: 1947 Ex: 33.230000","Age: 42 ex_fr_female$Type: Observed Year: 1948 Ex: 33.770000","Age: 42 ex_fr_female$Type: Observed Year: 1949 Ex: 32.700000","Age: 42 ex_fr_female$Type: Observed Year: 1950 Ex: 33.440000","Age: 42 ex_fr_female$Type: Observed Year: 1951 Ex: 32.970000","Age: 42 ex_fr_female$Type: Observed Year: 1952 Ex: 33.750000","Age: 42 ex_fr_female$Type: Observed Year: 1953 Ex: 33.250000","Age: 42 ex_fr_female$Type: Observed Year: 1954 Ex: 34.120000","Age: 42 ex_fr_female$Type: Observed Year: 1955 Ex: 34.180000","Age: 42 ex_fr_female$Type: Observed Year: 1956 Ex: 34.030000","Age: 42 ex_fr_female$Type: Observed Year: 1957 Ex: 34.460000","Age: 42 ex_fr_female$Type: Observed Year: 1958 Ex: 35.120000","Age: 42 ex_fr_female$Type: Observed Year: 1959 Ex: 35.170000","Age: 42 ex_fr_female$Type: Observed Year: 1960 Ex: 35.160000","Age: 42 ex_fr_female$Type: Observed Year: 1961 Ex: 35.780000","Age: 42 ex_fr_female$Type: Observed Year: 1962 Ex: 35.280000","Age: 42 ex_fr_female$Type: Observed Year: 1963 Ex: 35.190000","Age: 42 ex_fr_female$Type: Observed Year: 1964 Ex: 36.000000","Age: 42 ex_fr_female$Type: Observed Year: 1965 Ex: 35.790000","Age: 42 ex_fr_female$Type: Observed Year: 1966 Ex: 36.200000","Age: 42 ex_fr_female$Type: Observed Year: 1967 Ex: 36.180000","Age: 42 ex_fr_female$Type: Observed Year: 1968 Ex: 36.160000","Age: 42 ex_fr_female$Type: Observed Year: 1969 Ex: 35.950000","Age: 42 ex_fr_female$Type: Observed Year: 1970 Ex: 36.590000","Age: 42 ex_fr_female$Type: Observed Year: 1971 Ex: 36.610000","Age: 42 ex_fr_female$Type: Observed Year: 1972 Ex: 36.860000","Age: 42 ex_fr_female$Type: Observed Year: 1973 Ex: 36.890000","Age: 42 ex_fr_female$Type: Observed Year: 1974 Ex: 37.180000","Age: 42 ex_fr_female$Type: Observed Year: 1975 Ex: 37.210000","Age: 42 ex_fr_female$Type: Observed Year: 1976 Ex: 37.460000","Age: 42 ex_fr_female$Type: Observed Year: 1977 Ex: 38.050000","Age: 42 ex_fr_female$Type: Observed Year: 1978 Ex: 38.050000","Age: 42 ex_fr_female$Type: Observed Year: 1979 Ex: 38.340000","Age: 42 ex_fr_female$Type: Observed Year: 1980 Ex: 38.460000","Age: 42 ex_fr_female$Type: Observed Year: 1981 Ex: 38.500000","Age: 42 ex_fr_female$Type: Observed Year: 1982 Ex: 38.860000","Age: 42 ex_fr_female$Type: Observed Year: 1983 Ex: 38.750000","Age: 42 ex_fr_female$Type: Observed Year: 1984 Ex: 39.210000","Age: 42 ex_fr_female$Type: Observed Year: 1985 Ex: 39.250000","Age: 42 ex_fr_female$Type: Observed Year: 1986 Ex: 39.470000","Age: 42 ex_fr_female$Type: Observed Year: 1987 Ex: 39.970000","Age: 42 ex_fr_female$Type: Observed Year: 1988 Ex: 40.170000","Age: 42 ex_fr_female$Type: Observed Year: 1989 Ex: 40.350000","Age: 42 ex_fr_female$Type: Observed Year: 1990 Ex: 40.580000","Age: 42 ex_fr_female$Type: Observed Year: 1991 Ex: 40.810000","Age: 42 ex_fr_female$Type: Observed Year: 1992 Ex: 41.050000","Age: 42 ex_fr_female$Type: Observed Year: 1993 Ex: 41.020000","Age: 42 ex_fr_female$Type: Observed Year: 1994 Ex: 41.390000","Age: 42 ex_fr_female$Type: Observed Year: 1995 Ex: 41.370000","Age: 42 ex_fr_female$Type: Observed Year: 1996 Ex: 41.440000","Age: 42 ex_fr_female$Type: Observed Year: 1997 Ex: 41.620000","Age: 42 ex_fr_female$Type: Observed Year: 1998 Ex: 41.710000","Age: 42 ex_fr_female$Type: Observed Year: 1999 Ex: 41.780000","Age: 42 ex_fr_female$Type: Observed Year: 2000 Ex: 42.030000","Age: 42 ex_fr_female$Type: Observed Year: 2001 Ex: 42.170000","Age: 42 ex_fr_female$Type: Observed Year: 2002 Ex: 42.200000","Age: 42 ex_fr_female$Type: Observed Year: 2003 Ex: 42.060000","Age: 42 ex_fr_female$Type: Observed Year: 2004 Ex: 42.940000","Age: 42 ex_fr_female$Type: Observed Year: 2005 Ex: 42.840000","Age: 42 ex_fr_female$Type: Observed Year: 2006 Ex: 43.180000","Age: 42 ex_fr_female$Type: Observed Year: 2007 Ex: 43.340000","Age: 42 ex_fr_female$Type: Observed Year: 2008 Ex: 43.310000","Age: 42 ex_fr_female$Type: Observed Year: 2009 Ex: 43.400000","Age: 42 ex_fr_female$Type: Observed Year: 2010 Ex: 43.590000","Age: 42 ex_fr_female$Type: Observed Year: 2011 Ex: 43.900000","Age: 42 ex_fr_female$Type: Observed Year: 2012 Ex: 43.730000","Age: 42 ex_fr_female$Type: Observed Year: 2013 Ex: 43.930000","Age: 42 ex_fr_female$Type: Observed Year: 2014 Ex: 44.300000","Age: 42 ex_fr_female$Type: Observed Year: 2015 Ex: 44.010000","Age: 42 ex_fr_female$Type: Observed Year: 2016 Ex: 44.190000","Age: 42 ex_fr_female$Type: Observed Year: 2017 Ex: 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42 ex_fr_female$Type: Predicted Year: 1816 Ex: 25.575349","Age: 42 ex_fr_female$Type: Predicted Year: 1817 Ex: 25.496919","Age: 42 ex_fr_female$Type: Predicted Year: 1818 Ex: 25.529863","Age: 42 ex_fr_female$Type: Predicted Year: 1819 Ex: 25.685878","Age: 42 ex_fr_female$Type: Predicted Year: 1820 Ex: 25.371355","Age: 42 ex_fr_female$Type: Predicted Year: 1821 Ex: 26.488382","Age: 42 ex_fr_female$Type: Predicted Year: 1822 Ex: 26.542993","Age: 42 ex_fr_female$Type: Predicted Year: 1823 Ex: 26.716549","Age: 42 ex_fr_female$Type: Predicted Year: 1824 Ex: 26.849059","Age: 42 ex_fr_female$Type: Predicted Year: 1825 Ex: 26.339498","Age: 42 ex_fr_female$Type: Predicted Year: 1826 Ex: 25.817597","Age: 42 ex_fr_female$Type: Predicted Year: 1827 Ex: 26.085110","Age: 42 ex_fr_female$Type: Predicted Year: 1828 Ex: 25.863339","Age: 42 ex_fr_female$Type: Predicted Year: 1829 Ex: 25.820257","Age: 42 ex_fr_female$Type: Predicted Year: 1830 Ex: 25.825134","Age: 42 ex_fr_female$Type: Predicted Year: 1831 Ex: 26.305906","Age: 42 ex_fr_female$Type: Predicted Year: 1832 Ex: 23.431254","Age: 42 ex_fr_female$Type: Predicted Year: 1833 Ex: 26.050356","Age: 42 ex_fr_female$Type: Predicted Year: 1834 Ex: 25.340833","Age: 42 ex_fr_female$Type: Predicted Year: 1835 Ex: 26.046627","Age: 42 ex_fr_female$Type: Predicted Year: 1836 Ex: 26.778258","Age: 42 ex_fr_female$Type: Predicted Year: 1837 Ex: 24.839731","Age: 42 ex_fr_female$Type: Predicted Year: 1838 Ex: 26.081523","Age: 42 ex_fr_female$Type: Predicted Year: 1839 Ex: 26.695833","Age: 42 ex_fr_female$Type: Predicted Year: 1840 Ex: 26.041630","Age: 42 ex_fr_female$Type: Predicted Year: 1841 Ex: 26.895033","Age: 42 ex_fr_female$Type: Predicted Year: 1842 Ex: 26.208159","Age: 42 ex_fr_female$Type: Predicted Year: 1843 Ex: 26.716608","Age: 42 ex_fr_female$Type: Predicted Year: 1844 Ex: 26.851084","Age: 42 ex_fr_female$Type: Predicted Year: 1845 Ex: 27.226503","Age: 42 ex_fr_female$Type: Predicted Year: 1846 Ex: 26.748497","Age: 42 ex_fr_female$Type: Predicted Year: 1847 Ex: 25.567155","Age: 42 ex_fr_female$Type: Predicted Year: 1848 Ex: 25.952751","Age: 42 ex_fr_female$Type: Predicted Year: 1849 Ex: 24.318048","Age: 42 ex_fr_female$Type: Predicted Year: 1850 Ex: 26.886807","Age: 42 ex_fr_female$Type: Predicted Year: 1851 Ex: 26.750585","Age: 42 ex_fr_female$Type: Predicted Year: 1852 Ex: 26.728897","Age: 42 ex_fr_female$Type: Predicted Year: 1853 Ex: 26.592850","Age: 42 ex_fr_female$Type: Predicted Year: 1854 Ex: 23.995390","Age: 42 ex_fr_female$Type: Predicted Year: 1855 Ex: 25.354760","Age: 42 ex_fr_female$Type: Predicted Year: 1856 Ex: 26.747638","Age: 42 ex_fr_female$Type: Predicted Year: 1857 Ex: 26.175552","Age: 42 ex_fr_female$Type: Predicted Year: 1858 Ex: 25.626597","Age: 42 ex_fr_female$Type: Predicted Year: 1859 Ex: 25.760292","Age: 42 ex_fr_female$Type: Predicted Year: 1860 Ex: 27.039787","Age: 42 ex_fr_female$Type: Predicted Year: 1861 Ex: 26.940476","Age: 42 ex_fr_female$Type: Predicted Year: 1862 Ex: 27.185705","Age: 42 ex_fr_female$Type: Predicted Year: 1863 Ex: 26.976879","Age: 42 ex_fr_female$Type: Predicted Year: 1864 Ex: 26.641282","Age: 42 ex_fr_female$Type: Predicted Year: 1865 Ex: 26.347657","Age: 42 ex_fr_female$Type: Predicted Year: 1866 Ex: 26.397441","Age: 42 ex_fr_female$Type: Predicted Year: 1867 Ex: 26.798265","Age: 42 ex_fr_female$Type: Predicted Year: 1868 Ex: 26.567573","Age: 42 ex_fr_female$Type: Predicted Year: 1869 Ex: 26.705849","Age: 42 ex_fr_female$Type: Predicted Year: 1870 Ex: 25.123666","Age: 42 ex_fr_female$Type: Predicted Year: 1871 Ex: 23.543852","Age: 42 ex_fr_female$Type: Predicted Year: 1872 Ex: 27.603644","Age: 42 ex_fr_female$Type: Predicted Year: 1873 Ex: 27.012572","Age: 42 ex_fr_female$Type: Predicted Year: 1874 Ex: 27.504608","Age: 42 ex_fr_female$Type: Predicted Year: 1875 Ex: 26.738130","Age: 42 ex_fr_female$Type: Predicted Year: 1876 Ex: 27.237203","Age: 42 ex_fr_female$Type: Predicted Year: 1877 Ex: 27.641751","Age: 42 ex_fr_female$Type: Predicted Year: 1878 Ex: 27.166260","Age: 42 ex_fr_female$Type: Predicted Year: 1879 Ex: 26.927127","Age: 42 ex_fr_female$Type: Predicted Year: 1880 Ex: 27.173958","Age: 42 ex_fr_female$Type: Predicted Year: 1881 Ex: 27.587520","Age: 42 ex_fr_female$Type: Predicted Year: 1882 Ex: 27.459912","Age: 42 ex_fr_female$Type: Predicted Year: 1883 Ex: 27.405082","Age: 42 ex_fr_female$Type: Predicted Year: 1884 Ex: 27.492170","Age: 42 ex_fr_female$Type: Predicted Year: 1885 Ex: 27.533194","Age: 42 ex_fr_female$Type: Predicted Year: 1886 Ex: 27.403047","Age: 42 ex_fr_female$Type: Predicted Year: 1887 Ex: 27.318938","Age: 42 ex_fr_female$Type: Predicted Year: 1888 Ex: 27.642611","Age: 42 ex_fr_female$Type: Predicted Year: 1889 Ex: 28.043748","Age: 42 ex_fr_female$Type: Predicted Year: 1890 Ex: 27.035991","Age: 42 ex_fr_female$Type: Predicted Year: 1891 Ex: 26.760237","Age: 42 ex_fr_female$Type: Predicted Year: 1892 Ex: 26.952785","Age: 42 ex_fr_female$Type: Predicted Year: 1893 Ex: 27.098521","Age: 42 ex_fr_female$Type: Predicted Year: 1894 Ex: 27.687758","Age: 42 ex_fr_female$Type: Predicted Year: 1895 Ex: 27.246520","Age: 42 ex_fr_female$Type: Predicted Year: 1896 Ex: 28.208890","Age: 42 ex_fr_female$Type: Predicted Year: 1897 Ex: 28.610271","Age: 42 ex_fr_female$Type: Predicted Year: 1898 Ex: 27.854422","Age: 42 ex_fr_female$Type: Predicted Year: 1899 Ex: 27.812700","Age: 42 ex_fr_female$Type: Predicted Year: 1900 Ex: 26.978729","Age: 42 ex_fr_female$Type: Predicted Year: 1901 Ex: 27.918287","Age: 42 ex_fr_female$Type: Predicted Year: 1902 Ex: 28.219649","Age: 42 ex_fr_female$Type: Predicted Year: 1903 Ex: 28.352650","Age: 42 ex_fr_female$Type: Predicted Year: 1904 Ex: 28.349880","Age: 42 ex_fr_female$Type: Predicted Year: 1905 Ex: 27.955586","Age: 42 ex_fr_female$Type: Predicted Year: 1906 Ex: 27.981158","Age: 42 ex_fr_female$Type: Predicted Year: 1907 Ex: 27.567004","Age: 42 ex_fr_female$Type: Predicted Year: 1908 Ex: 28.308708","Age: 42 ex_fr_female$Type: Predicted Year: 1909 Ex: 27.881568","Age: 42 ex_fr_female$Type: Predicted Year: 1910 Ex: 28.799719","Age: 42 ex_fr_female$Type: Predicted Year: 1911 Ex: 28.241695","Age: 42 ex_fr_female$Type: Predicted Year: 1912 Ex: 28.958154","Age: 42 ex_fr_female$Type: Predicted Year: 1913 Ex: 29.023288","Age: 42 ex_fr_female$Type: Predicted Year: 1914 Ex: 28.325635","Age: 42 ex_fr_female$Type: Predicted Year: 1915 Ex: 28.355796","Age: 42 ex_fr_female$Type: Predicted Year: 1916 Ex: 28.693890","Age: 42 ex_fr_female$Type: Predicted Year: 1917 Ex: 28.605683","Age: 42 ex_fr_female$Type: Predicted Year: 1918 Ex: 27.315885","Age: 42 ex_fr_female$Type: Predicted Year: 1919 Ex: 28.557209","Age: 42 ex_fr_female$Type: Predicted Year: 1920 Ex: 29.685148","Age: 42 ex_fr_female$Type: Predicted Year: 1921 Ex: 29.567044","Age: 42 ex_fr_female$Type: Predicted Year: 1922 Ex: 29.144743","Age: 42 ex_fr_female$Type: Predicted Year: 1923 Ex: 29.885375","Age: 42 ex_fr_female$Type: Predicted Year: 1924 Ex: 29.573604","Age: 42 ex_fr_female$Type: Predicted Year: 1925 Ex: 29.457841","Age: 42 ex_fr_female$Type: Predicted Year: 1926 Ex: 29.521401","Age: 42 ex_fr_female$Type: Predicted Year: 1927 Ex: 29.962439","Age: 42 ex_fr_female$Type: Predicted Year: 1928 Ex: 30.178797","Age: 42 ex_fr_female$Type: Predicted Year: 1929 Ex: 29.185098","Age: 42 ex_fr_female$Type: Predicted Year: 1930 Ex: 30.549622","Age: 42 ex_fr_female$Type: Predicted Year: 1931 Ex: 30.009221","Age: 42 ex_fr_female$Type: Predicted Year: 1932 Ex: 30.329689","Age: 42 ex_fr_female$Type: Predicted Year: 1933 Ex: 30.298366","Age: 42 ex_fr_female$Type: Predicted Year: 1934 Ex: 30.899074","Age: 42 ex_fr_female$Type: Predicted Year: 1935 Ex: 30.386934","Age: 42 ex_fr_female$Type: Predicted Year: 1936 Ex: 30.738734","Age: 42 ex_fr_female$Type: Predicted Year: 1937 Ex: 31.084428","Age: 42 ex_fr_female$Type: Predicted Year: 1938 Ex: 30.827936","Age: 42 ex_fr_female$Type: Predicted Year: 1939 Ex: 30.872358","Age: 42 ex_fr_female$Type: Predicted Year: 1940 Ex: 29.348571","Age: 42 ex_fr_female$Type: Predicted Year: 1941 Ex: 30.470442","Age: 42 ex_fr_female$Type: Predicted Year: 1942 Ex: 30.863716","Age: 42 ex_fr_female$Type: Predicted Year: 1943 Ex: 31.027572","Age: 42 ex_fr_female$Type: Predicted Year: 1944 Ex: 29.393500","Age: 42 ex_fr_female$Type: Predicted Year: 1945 Ex: 31.397557","Age: 42 ex_fr_female$Type: Predicted Year: 1946 Ex: 33.173942","Age: 42 ex_fr_female$Type: Predicted Year: 1947 Ex: 33.490378","Age: 42 ex_fr_female$Type: Predicted Year: 1948 Ex: 34.030910","Age: 42 ex_fr_female$Type: Predicted Year: 1949 Ex: 32.958127","Age: 42 ex_fr_female$Type: Predicted Year: 1950 Ex: 33.699004","Age: 42 ex_fr_female$Type: Predicted Year: 1951 Ex: 33.225514","Age: 42 ex_fr_female$Type: Predicted Year: 1952 Ex: 34.013467","Age: 42 ex_fr_female$Type: Predicted Year: 1953 Ex: 33.511083","Age: 42 ex_fr_female$Type: Predicted Year: 1954 Ex: 34.376027","Age: 42 ex_fr_female$Type: Predicted Year: 1955 Ex: 34.441451","Age: 42 ex_fr_female$Type: Predicted Year: 1956 Ex: 34.288394","Age: 42 ex_fr_female$Type: Predicted Year: 1957 Ex: 34.717549","Age: 42 ex_fr_female$Type: Predicted Year: 1958 Ex: 35.384216","Age: 42 ex_fr_female$Type: Predicted Year: 1959 Ex: 35.432128","Age: 42 ex_fr_female$Type: Predicted Year: 1960 Ex: 35.414125","Age: 42 ex_fr_female$Type: Predicted Year: 1961 Ex: 36.039034","Age: 42 ex_fr_female$Type: Predicted Year: 1962 Ex: 35.534081","Age: 42 ex_fr_female$Type: Predicted Year: 1963 Ex: 35.445592","Age: 42 ex_fr_female$Type: Predicted Year: 1964 Ex: 36.255911","Age: 42 ex_fr_female$Type: Predicted Year: 1965 Ex: 36.044010","Age: 42 ex_fr_female$Type: Predicted Year: 1966 Ex: 36.462424","Age: 42 ex_fr_female$Type: Predicted Year: 1967 Ex: 36.440870","Age: 42 ex_fr_female$Type: Predicted Year: 1968 Ex: 36.417116","Age: 42 ex_fr_female$Type: Predicted Year: 1969 Ex: 36.213192","Age: 42 ex_fr_female$Type: Predicted Year: 1970 Ex: 36.848155","Age: 42 ex_fr_female$Type: Predicted Year: 1971 Ex: 36.869184","Age: 42 ex_fr_female$Type: Predicted Year: 1972 Ex: 37.114368","Age: 42 ex_fr_female$Type: Predicted Year: 1973 Ex: 37.149567","Age: 42 ex_fr_female$Type: Predicted Year: 1974 Ex: 37.437233","Age: 42 ex_fr_female$Type: Predicted Year: 1975 Ex: 37.469766","Age: 42 ex_fr_female$Type: Predicted Year: 1976 Ex: 37.717377","Age: 42 ex_fr_female$Type: Predicted Year: 1977 Ex: 38.307463","Age: 42 ex_fr_female$Type: Predicted Year: 1978 Ex: 38.306964","Age: 42 ex_fr_female$Type: Predicted Year: 1979 Ex: 38.595188","Age: 42 ex_fr_female$Type: Predicted Year: 1980 Ex: 38.722423","Age: 42 ex_fr_female$Type: Predicted Year: 1981 Ex: 38.754683","Age: 42 ex_fr_female$Type: Predicted Year: 1982 Ex: 39.116462","Age: 42 ex_fr_female$Type: Predicted Year: 1983 Ex: 39.008062","Age: 42 ex_fr_female$Type: Predicted Year: 1984 Ex: 39.471788","Age: 42 ex_fr_female$Type: Predicted Year: 1985 Ex: 39.506896","Age: 42 ex_fr_female$Type: Predicted Year: 1986 Ex: 39.725983","Age: 42 ex_fr_female$Type: Predicted Year: 1987 Ex: 40.227823","Age: 42 ex_fr_female$Type: Predicted Year: 1988 Ex: 40.429233","Age: 42 ex_fr_female$Type: Predicted Year: 1989 Ex: 40.602220","Age: 42 ex_fr_female$Type: Predicted Year: 1990 Ex: 40.833719","Age: 42 ex_fr_female$Type: Predicted Year: 1991 Ex: 41.066774","Age: 42 ex_fr_female$Type: Predicted Year: 1992 Ex: 41.302910","Age: 42 ex_fr_female$Type: Predicted Year: 1993 Ex: 41.272932","Age: 42 ex_fr_female$Type: Predicted Year: 1994 Ex: 41.647579","Age: 42 ex_fr_female$Type: Predicted Year: 1995 Ex: 41.629147","Age: 42 ex_fr_female$Type: Predicted Year: 1996 Ex: 41.691787","Age: 42 ex_fr_female$Type: Predicted Year: 1997 Ex: 41.872389","Age: 42 ex_fr_female$Type: Predicted Year: 1998 Ex: 41.963176","Age: 42 ex_fr_female$Type: Predicted Year: 1999 Ex: 42.031472","Age: 42 ex_fr_female$Type: Predicted Year: 2000 Ex: 42.281427","Age: 42 ex_fr_female$Type: Predicted Year: 2001 Ex: 42.425322","Age: 42 ex_fr_female$Type: Predicted Year: 2002 Ex: 42.455483","Age: 42 ex_fr_female$Type: Predicted Year: 2003 Ex: 42.313500","Age: 42 ex_fr_female$Type: Predicted Year: 2004 Ex: 43.188590","Age: 42 ex_fr_female$Type: Predicted Year: 2005 Ex: 43.097571","Age: 42 ex_fr_female$Type: Predicted Year: 2006 Ex: 43.438803","Age: 42 ex_fr_female$Type: Predicted Year: 2007 Ex: 43.589551","Age: 42 ex_fr_female$Type: Predicted Year: 2008 Ex: 43.562460","Age: 42 ex_fr_female$Type: Predicted Year: 2009 Ex: 43.655180","Age: 42 ex_fr_female$Type: Predicted Year: 2010 Ex: 43.840792","Age: 42 ex_fr_female$Type: Predicted Year: 2011 Ex: 44.150873","Age: 42 ex_fr_female$Type: Predicted Year: 2012 Ex: 43.987182","Age: 42 ex_fr_female$Type: Predicted Year: 2013 Ex: 44.182704","Age: 42 ex_fr_female$Type: Predicted Year: 2014 Ex: 44.550630","Age: 42 ex_fr_female$Type: Predicted Year: 2015 Ex: 44.265518","Age: 42 ex_fr_female$Type: Predicted Year: 2016 Ex: 44.439390","Age: 42 ex_fr_female$Type: Predicted Year: 2017 Ex: 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25.340000","Age: 43 ex_fr_female$Type: Observed Year: 1832 Ex: 22.540000","Age: 43 ex_fr_female$Type: Observed Year: 1833 Ex: 25.110000","Age: 43 ex_fr_female$Type: Observed Year: 1834 Ex: 24.420000","Age: 43 ex_fr_female$Type: Observed Year: 1835 Ex: 25.100000","Age: 43 ex_fr_female$Type: Observed Year: 1836 Ex: 25.800000","Age: 43 ex_fr_female$Type: Observed Year: 1837 Ex: 23.880000","Age: 43 ex_fr_female$Type: Observed Year: 1838 Ex: 25.130000","Age: 43 ex_fr_female$Type: Observed Year: 1839 Ex: 25.750000","Age: 43 ex_fr_female$Type: Observed Year: 1840 Ex: 25.100000","Age: 43 ex_fr_female$Type: Observed Year: 1841 Ex: 25.940000","Age: 43 ex_fr_female$Type: Observed Year: 1842 Ex: 25.260000","Age: 43 ex_fr_female$Type: Observed Year: 1843 Ex: 25.760000","Age: 43 ex_fr_female$Type: Observed Year: 1844 Ex: 25.880000","Age: 43 ex_fr_female$Type: Observed Year: 1845 Ex: 26.250000","Age: 43 ex_fr_female$Type: Observed Year: 1846 Ex: 25.770000","Age: 43 ex_fr_female$Type: Observed Year: 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26.680000","Age: 43 ex_fr_female$Type: Observed Year: 1895 Ex: 26.230000","Age: 43 ex_fr_female$Type: Observed Year: 1896 Ex: 27.190000","Age: 43 ex_fr_female$Type: Observed Year: 1897 Ex: 27.590000","Age: 43 ex_fr_female$Type: Observed Year: 1898 Ex: 26.840000","Age: 43 ex_fr_female$Type: Observed Year: 1899 Ex: 26.820000","Age: 43 ex_fr_female$Type: Observed Year: 1900 Ex: 26.000000","Age: 43 ex_fr_female$Type: Observed Year: 1901 Ex: 26.930000","Age: 43 ex_fr_female$Type: Observed Year: 1902 Ex: 27.220000","Age: 43 ex_fr_female$Type: Observed Year: 1903 Ex: 27.350000","Age: 43 ex_fr_female$Type: Observed Year: 1904 Ex: 27.330000","Age: 43 ex_fr_female$Type: Observed Year: 1905 Ex: 26.960000","Age: 43 ex_fr_female$Type: Observed Year: 1906 Ex: 26.990000","Age: 43 ex_fr_female$Type: Observed Year: 1907 Ex: 26.560000","Age: 43 ex_fr_female$Type: Observed Year: 1908 Ex: 27.280000","Age: 43 ex_fr_female$Type: Observed Year: 1909 Ex: 26.850000","Age: 43 ex_fr_female$Type: Observed Year: 1910 Ex: 27.760000","Age: 43 ex_fr_female$Type: Observed Year: 1911 Ex: 27.210000","Age: 43 ex_fr_female$Type: Observed Year: 1912 Ex: 27.920000","Age: 43 ex_fr_female$Type: Observed Year: 1913 Ex: 27.990000","Age: 43 ex_fr_female$Type: Observed Year: 1914 Ex: 27.290000","Age: 43 ex_fr_female$Type: Observed Year: 1915 Ex: 27.330000","Age: 43 ex_fr_female$Type: Observed Year: 1916 Ex: 27.660000","Age: 43 ex_fr_female$Type: Observed Year: 1917 Ex: 27.560000","Age: 43 ex_fr_female$Type: Observed Year: 1918 Ex: 26.370000","Age: 43 ex_fr_female$Type: Observed Year: 1919 Ex: 27.540000","Age: 43 ex_fr_female$Type: Observed Year: 1920 Ex: 28.630000","Age: 43 ex_fr_female$Type: Observed Year: 1921 Ex: 28.530000","Age: 43 ex_fr_female$Type: Observed Year: 1922 Ex: 28.090000","Age: 43 ex_fr_female$Type: Observed Year: 1923 Ex: 28.830000","Age: 43 ex_fr_female$Type: Observed Year: 1924 Ex: 28.510000","Age: 43 ex_fr_female$Type: Observed Year: 1925 Ex: 28.400000","Age: 43 ex_fr_female$Type: Observed Year: 1926 Ex: 28.470000","Age: 43 ex_fr_female$Type: Observed Year: 1927 Ex: 28.900000","Age: 43 ex_fr_female$Type: Observed Year: 1928 Ex: 29.110000","Age: 43 ex_fr_female$Type: Observed Year: 1929 Ex: 28.130000","Age: 43 ex_fr_female$Type: Observed Year: 1930 Ex: 29.490000","Age: 43 ex_fr_female$Type: Observed Year: 1931 Ex: 28.940000","Age: 43 ex_fr_female$Type: Observed Year: 1932 Ex: 29.260000","Age: 43 ex_fr_female$Type: Observed Year: 1933 Ex: 29.230000","Age: 43 ex_fr_female$Type: Observed Year: 1934 Ex: 29.810000","Age: 43 ex_fr_female$Type: Observed Year: 1935 Ex: 29.310000","Age: 43 ex_fr_female$Type: Observed Year: 1936 Ex: 29.660000","Age: 43 ex_fr_female$Type: Observed Year: 1937 Ex: 29.990000","Age: 43 ex_fr_female$Type: Observed Year: 1938 Ex: 29.740000","Age: 43 ex_fr_female$Type: Observed Year: 1939 Ex: 29.770000","Age: 43 ex_fr_female$Type: Observed Year: 1940 Ex: 28.270000","Age: 43 ex_fr_female$Type: Observed Year: 1941 Ex: 29.380000","Age: 43 ex_fr_female$Type: Observed Year: 1942 Ex: 29.760000","Age: 43 ex_fr_female$Type: Observed Year: 1943 Ex: 29.950000","Age: 43 ex_fr_female$Type: Observed Year: 1944 Ex: 28.400000","Age: 43 ex_fr_female$Type: Observed Year: 1945 Ex: 30.300000","Age: 43 ex_fr_female$Type: Observed Year: 1946 Ex: 32.030000","Age: 43 ex_fr_female$Type: Observed Year: 1947 Ex: 32.340000","Age: 43 ex_fr_female$Type: Observed Year: 1948 Ex: 32.880000","Age: 43 ex_fr_female$Type: Observed Year: 1949 Ex: 31.810000","Age: 43 ex_fr_female$Type: Observed Year: 1950 Ex: 32.550000","Age: 43 ex_fr_female$Type: Observed Year: 1951 Ex: 32.070000","Age: 43 ex_fr_female$Type: Observed Year: 1952 Ex: 32.860000","Age: 43 ex_fr_female$Type: Observed Year: 1953 Ex: 32.350000","Age: 43 ex_fr_female$Type: Observed Year: 1954 Ex: 33.210000","Age: 43 ex_fr_female$Type: Observed Year: 1955 Ex: 33.280000","Age: 43 ex_fr_female$Type: Observed Year: 1956 Ex: 33.120000","Age: 43 ex_fr_female$Type: Observed Year: 1957 Ex: 33.550000","Age: 43 ex_fr_female$Type: Observed Year: 1958 Ex: 34.210000","Age: 43 ex_fr_female$Type: Observed Year: 1959 Ex: 34.260000","Age: 43 ex_fr_female$Type: Observed Year: 1960 Ex: 34.240000","Age: 43 ex_fr_female$Type: Observed Year: 1961 Ex: 34.860000","Age: 43 ex_fr_female$Type: Observed Year: 1962 Ex: 34.350000","Age: 43 ex_fr_female$Type: Observed Year: 1963 Ex: 34.270000","Age: 43 ex_fr_female$Type: Observed Year: 1964 Ex: 35.070000","Age: 43 ex_fr_female$Type: Observed Year: 1965 Ex: 34.860000","Age: 43 ex_fr_female$Type: Observed Year: 1966 Ex: 35.280000","Age: 43 ex_fr_female$Type: Observed Year: 1967 Ex: 35.260000","Age: 43 ex_fr_female$Type: Observed Year: 1968 Ex: 35.240000","Age: 43 ex_fr_female$Type: Observed Year: 1969 Ex: 35.030000","Age: 43 ex_fr_female$Type: Observed Year: 1970 Ex: 35.670000","Age: 43 ex_fr_female$Type: Observed Year: 1971 Ex: 35.690000","Age: 43 ex_fr_female$Type: Observed Year: 1972 Ex: 35.930000","Age: 43 ex_fr_female$Type: Observed Year: 1973 Ex: 35.970000","Age: 43 ex_fr_female$Type: Observed Year: 1974 Ex: 36.250000","Age: 43 ex_fr_female$Type: Observed Year: 1975 Ex: 36.280000","Age: 43 ex_fr_female$Type: Observed Year: 1976 Ex: 36.530000","Age: 43 ex_fr_female$Type: Observed Year: 1977 Ex: 37.110000","Age: 43 ex_fr_female$Type: Observed Year: 1978 Ex: 37.110000","Age: 43 ex_fr_female$Type: Observed Year: 1979 Ex: 37.400000","Age: 43 ex_fr_female$Type: Observed Year: 1980 Ex: 37.530000","Age: 43 ex_fr_female$Type: Observed Year: 1981 Ex: 37.560000","Age: 43 ex_fr_female$Type: Observed Year: 1982 Ex: 37.920000","Age: 43 ex_fr_female$Type: Observed Year: 1983 Ex: 37.810000","Age: 43 ex_fr_female$Type: Observed Year: 1984 Ex: 38.270000","Age: 43 ex_fr_female$Type: Observed Year: 1985 Ex: 38.310000","Age: 43 ex_fr_female$Type: Observed Year: 1986 Ex: 38.530000","Age: 43 ex_fr_female$Type: Observed Year: 1987 Ex: 39.030000","Age: 43 ex_fr_female$Type: Observed Year: 1988 Ex: 39.240000","Age: 43 ex_fr_female$Type: Observed Year: 1989 Ex: 39.400000","Age: 43 ex_fr_female$Type: Observed Year: 1990 Ex: 39.640000","Age: 43 ex_fr_female$Type: Observed Year: 1991 Ex: 39.870000","Age: 43 ex_fr_female$Type: Observed Year: 1992 Ex: 40.100000","Age: 43 ex_fr_female$Type: Observed Year: 1993 Ex: 40.070000","Age: 43 ex_fr_female$Type: Observed Year: 1994 Ex: 40.450000","Age: 43 ex_fr_female$Type: Observed Year: 1995 Ex: 40.430000","Age: 43 ex_fr_female$Type: Observed Year: 1996 Ex: 40.500000","Age: 43 ex_fr_female$Type: Observed Year: 1997 Ex: 40.670000","Age: 43 ex_fr_female$Type: Observed Year: 1998 Ex: 40.760000","Age: 43 ex_fr_female$Type: Observed Year: 1999 Ex: 40.830000","Age: 43 ex_fr_female$Type: Observed Year: 2000 Ex: 41.080000","Age: 43 ex_fr_female$Type: Observed Year: 2001 Ex: 41.220000","Age: 43 ex_fr_female$Type: Observed Year: 2002 Ex: 41.260000","Age: 43 ex_fr_female$Type: Observed Year: 2003 Ex: 41.120000","Age: 43 ex_fr_female$Type: Observed Year: 2004 Ex: 41.990000","Age: 43 ex_fr_female$Type: Observed Year: 2005 Ex: 41.900000","Age: 43 ex_fr_female$Type: Observed Year: 2006 Ex: 42.240000","Age: 43 ex_fr_female$Type: Observed Year: 2007 Ex: 42.380000","Age: 43 ex_fr_female$Type: Observed Year: 2008 Ex: 42.350000","Age: 43 ex_fr_female$Type: Observed Year: 2009 Ex: 42.450000","Age: 43 ex_fr_female$Type: Observed Year: 2010 Ex: 42.630000","Age: 43 ex_fr_female$Type: Observed Year: 2011 Ex: 42.940000","Age: 43 ex_fr_female$Type: Observed Year: 2012 Ex: 42.780000","Age: 43 ex_fr_female$Type: Observed Year: 2013 Ex: 42.970000","Age: 43 ex_fr_female$Type: Observed Year: 2014 Ex: 43.340000","Age: 43 ex_fr_female$Type: Observed Year: 2015 Ex: 43.050000","Age: 43 ex_fr_female$Type: Observed Year: 2016 Ex: 43.220000","Age: 43 ex_fr_female$Type: Observed Year: 2017 Ex: 43.180000"],"frame":"43","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[24.8983808394198,24.8227389247529,24.8687943230709,25.0396889593035,24.7028465181569,25.8134377029517,25.8592399921595,26.0168662957301,26.1620893480987,25.6506588808768,25.1368262679387,25.4118579148056,25.1795494147857,25.1241400355813,25.1498441214466,25.6164015108107,22.8227946989125,25.3908969642353,24.6965987809769,25.3811650935313,26.0811421446138,24.1579710211197,25.4061525469962,26.0295851106713,25.3786899372868,26.217692577821,25.5346556923808,26.0323100345654,26.1556078667068,26.5229307586813,26.0441357696492,24.8852574944321,25.2790983714053,23.7014837404128,26.1890738422441,26.0507603626486,26.032804501699,25.8840973272116,23.371244567517,24.6749503927076,26.0560112406624,25.4881168082422,24.9482533568255,25.0785432898057,26.319657693087,26.2241094690397,26.4644174871173,26.2592966891065,25.9325408243276,25.6455782722431,25.7134940054889,26.0883484389688,25.8585376450487,25.998887185525,24.4610900070207,22.9734395541297,26.9017883295107,26.3074317685927,26.7795573952134,26.0177365882302,26.5191548914404,26.9156286641326,26.4391109467704,26.1980654943498,26.4506607512392,26.8682395800236,26.7428499155401,26.6898924104776,26.7830850160092,26.8218194396812,26.70034547611,26.6155775272798,26.9197882088077,27.3191781749333,26.333794801345,26.0528213360843,26.2245205674661,26.3636939264516,26.9417857619389,26.4983145076437,27.4610751384605,27.8564660450802,27.1077979624559,27.0805790523116,26.2649130848171,27.1982794951575,27.4898396526926,27.618231806672,27.5999754377174,27.2279165199376,27.2562402257832,26.8245483955291,27.5427256503795,27.1150283317721,28.028737944847,27.475428182997,28.1878810159092,28.2512410415939,27.5530612475564,27.596671768421,27.9248949207892,27.818968154657,26.6385327555525,27.8015243325084,28.8960407381399,28.7923115786099,28.3494217650274,29.0914996494674,28.7740281291597,28.6618412905606,28.7360802061694,29.1622803133952,29.3738315807349,28.3891987796812,29.7519332362372,29.2025470084526,29.5164084656853,29.4881885433868,30.0746788505278,29.5685991217568,29.922233188747,30.2549514475631,29.9982495713308,30.0328433574295,28.5239247046357,29.6417616299489,30.0238499333883,30.2109816224182,28.6544255309379,30.5595748099295,32.2937476751338,32.6070394903249,33.1437636169321,32.0709520327248,32.8114067274128,32.333358128214,33.1208819884873,32.6142389039855,33.4744106224147,33.5366204933008,33.3817786225755,33.8066301125346,34.4708362883614,34.5181670726522,34.4948696471113,35.1219367106088,34.6105384346122,34.5341168271719,35.334302007717,35.1215809020781,35.5409078214899,35.5189466166156,35.495500251482,35.2939952123613,35.926387183224,35.9470978742687,36.191339042836,36.2244084422647,36.5085902675728,36.5419275216852,36.7885299089814,37.3680029272669,37.3682607738035,37.6600053913229,37.7882225099195,37.8216877920343,38.1767510584352,38.0708815880883,38.5326313984493,38.5677942096447,38.7844731995269,39.2894489576753,39.4931712018458,39.6588043565109,39.8910335455347,40.1248258281576,40.3576220710974,40.3308707318087,40.7035779315603,40.6867684508411,40.7515584341492,40.9266225139345,41.0171134039291,41.0896567212935,41.3382884584072,41.4794407867426,41.51426179815,41.3708241261813,42.2415563454647,42.1491456103858,42.4907906103898,42.6387007590688,42.6081306227462,42.706132941469,42.8871917922291,43.1967300537166,43.0285141044297,43.2255336687704,43.5894119639403,43.3036104168596,43.475435440907,43.4338071987249],"text":["Age: 43 ex_fr_female$Type: Predicted Year: 1816 Ex: 24.898381","Age: 43 ex_fr_female$Type: Predicted Year: 1817 Ex: 24.822739","Age: 43 ex_fr_female$Type: Predicted Year: 1818 Ex: 24.868794","Age: 43 ex_fr_female$Type: Predicted Year: 1819 Ex: 25.039689","Age: 43 ex_fr_female$Type: Predicted Year: 1820 Ex: 24.702847","Age: 43 ex_fr_female$Type: Predicted Year: 1821 Ex: 25.813438","Age: 43 ex_fr_female$Type: Predicted Year: 1822 Ex: 25.859240","Age: 43 ex_fr_female$Type: Predicted Year: 1823 Ex: 26.016866","Age: 43 ex_fr_female$Type: Predicted Year: 1824 Ex: 26.162089","Age: 43 ex_fr_female$Type: Predicted Year: 1825 Ex: 25.650659","Age: 43 ex_fr_female$Type: Predicted Year: 1826 Ex: 25.136826","Age: 43 ex_fr_female$Type: Predicted Year: 1827 Ex: 25.411858","Age: 43 ex_fr_female$Type: Predicted Year: 1828 Ex: 25.179549","Age: 43 ex_fr_female$Type: Predicted Year: 1829 Ex: 25.124140","Age: 43 ex_fr_female$Type: Predicted Year: 1830 Ex: 25.149844","Age: 43 ex_fr_female$Type: Predicted Year: 1831 Ex: 25.616402","Age: 43 ex_fr_female$Type: Predicted Year: 1832 Ex: 22.822795","Age: 43 ex_fr_female$Type: Predicted Year: 1833 Ex: 25.390897","Age: 43 ex_fr_female$Type: Predicted Year: 1834 Ex: 24.696599","Age: 43 ex_fr_female$Type: Predicted Year: 1835 Ex: 25.381165","Age: 43 ex_fr_female$Type: Predicted Year: 1836 Ex: 26.081142","Age: 43 ex_fr_female$Type: Predicted Year: 1837 Ex: 24.157971","Age: 43 ex_fr_female$Type: Predicted Year: 1838 Ex: 25.406153","Age: 43 ex_fr_female$Type: Predicted Year: 1839 Ex: 26.029585","Age: 43 ex_fr_female$Type: Predicted Year: 1840 Ex: 25.378690","Age: 43 ex_fr_female$Type: Predicted Year: 1841 Ex: 26.217693","Age: 43 ex_fr_female$Type: Predicted Year: 1842 Ex: 25.534656","Age: 43 ex_fr_female$Type: Predicted Year: 1843 Ex: 26.032310","Age: 43 ex_fr_female$Type: Predicted Year: 1844 Ex: 26.155608","Age: 43 ex_fr_female$Type: Predicted Year: 1845 Ex: 26.522931","Age: 43 ex_fr_female$Type: Predicted Year: 1846 Ex: 26.044136","Age: 43 ex_fr_female$Type: Predicted Year: 1847 Ex: 24.885257","Age: 43 ex_fr_female$Type: Predicted Year: 1848 Ex: 25.279098","Age: 43 ex_fr_female$Type: Predicted Year: 1849 Ex: 23.701484","Age: 43 ex_fr_female$Type: Predicted Year: 1850 Ex: 26.189074","Age: 43 ex_fr_female$Type: Predicted Year: 1851 Ex: 26.050760","Age: 43 ex_fr_female$Type: Predicted Year: 1852 Ex: 26.032805","Age: 43 ex_fr_female$Type: Predicted Year: 1853 Ex: 25.884097","Age: 43 ex_fr_female$Type: Predicted Year: 1854 Ex: 23.371245","Age: 43 ex_fr_female$Type: Predicted Year: 1855 Ex: 24.674950","Age: 43 ex_fr_female$Type: Predicted Year: 1856 Ex: 26.056011","Age: 43 ex_fr_female$Type: Predicted Year: 1857 Ex: 25.488117","Age: 43 ex_fr_female$Type: Predicted Year: 1858 Ex: 24.948253","Age: 43 ex_fr_female$Type: Predicted Year: 1859 Ex: 25.078543","Age: 43 ex_fr_female$Type: Predicted Year: 1860 Ex: 26.319658","Age: 43 ex_fr_female$Type: Predicted Year: 1861 Ex: 26.224109","Age: 43 ex_fr_female$Type: Predicted Year: 1862 Ex: 26.464417","Age: 43 ex_fr_female$Type: Predicted Year: 1863 Ex: 26.259297","Age: 43 ex_fr_female$Type: Predicted Year: 1864 Ex: 25.932541","Age: 43 ex_fr_female$Type: Predicted Year: 1865 Ex: 25.645578","Age: 43 ex_fr_female$Type: Predicted Year: 1866 Ex: 25.713494","Age: 43 ex_fr_female$Type: Predicted Year: 1867 Ex: 26.088348","Age: 43 ex_fr_female$Type: Predicted Year: 1868 Ex: 25.858538","Age: 43 ex_fr_female$Type: Predicted Year: 1869 Ex: 25.998887","Age: 43 ex_fr_female$Type: Predicted Year: 1870 Ex: 24.461090","Age: 43 ex_fr_female$Type: Predicted Year: 1871 Ex: 22.973440","Age: 43 ex_fr_female$Type: Predicted Year: 1872 Ex: 26.901788","Age: 43 ex_fr_female$Type: Predicted Year: 1873 Ex: 26.307432","Age: 43 ex_fr_female$Type: Predicted Year: 1874 Ex: 26.779557","Age: 43 ex_fr_female$Type: Predicted Year: 1875 Ex: 26.017737","Age: 43 ex_fr_female$Type: Predicted Year: 1876 Ex: 26.519155","Age: 43 ex_fr_female$Type: Predicted Year: 1877 Ex: 26.915629","Age: 43 ex_fr_female$Type: Predicted Year: 1878 Ex: 26.439111","Age: 43 ex_fr_female$Type: Predicted Year: 1879 Ex: 26.198065","Age: 43 ex_fr_female$Type: Predicted Year: 1880 Ex: 26.450661","Age: 43 ex_fr_female$Type: Predicted Year: 1881 Ex: 26.868240","Age: 43 ex_fr_female$Type: Predicted Year: 1882 Ex: 26.742850","Age: 43 ex_fr_female$Type: Predicted Year: 1883 Ex: 26.689892","Age: 43 ex_fr_female$Type: Predicted Year: 1884 Ex: 26.783085","Age: 43 ex_fr_female$Type: Predicted Year: 1885 Ex: 26.821819","Age: 43 ex_fr_female$Type: Predicted Year: 1886 Ex: 26.700345","Age: 43 ex_fr_female$Type: Predicted Year: 1887 Ex: 26.615578","Age: 43 ex_fr_female$Type: Predicted Year: 1888 Ex: 26.919788","Age: 43 ex_fr_female$Type: Predicted Year: 1889 Ex: 27.319178","Age: 43 ex_fr_female$Type: Predicted Year: 1890 Ex: 26.333795","Age: 43 ex_fr_female$Type: Predicted Year: 1891 Ex: 26.052821","Age: 43 ex_fr_female$Type: Predicted Year: 1892 Ex: 26.224521","Age: 43 ex_fr_female$Type: Predicted Year: 1893 Ex: 26.363694","Age: 43 ex_fr_female$Type: Predicted Year: 1894 Ex: 26.941786","Age: 43 ex_fr_female$Type: Predicted Year: 1895 Ex: 26.498315","Age: 43 ex_fr_female$Type: Predicted Year: 1896 Ex: 27.461075","Age: 43 ex_fr_female$Type: Predicted Year: 1897 Ex: 27.856466","Age: 43 ex_fr_female$Type: Predicted Year: 1898 Ex: 27.107798","Age: 43 ex_fr_female$Type: Predicted Year: 1899 Ex: 27.080579","Age: 43 ex_fr_female$Type: Predicted Year: 1900 Ex: 26.264913","Age: 43 ex_fr_female$Type: Predicted Year: 1901 Ex: 27.198279","Age: 43 ex_fr_female$Type: Predicted Year: 1902 Ex: 27.489840","Age: 43 ex_fr_female$Type: Predicted Year: 1903 Ex: 27.618232","Age: 43 ex_fr_female$Type: Predicted Year: 1904 Ex: 27.599975","Age: 43 ex_fr_female$Type: Predicted Year: 1905 Ex: 27.227917","Age: 43 ex_fr_female$Type: Predicted Year: 1906 Ex: 27.256240","Age: 43 ex_fr_female$Type: Predicted Year: 1907 Ex: 26.824548","Age: 43 ex_fr_female$Type: Predicted Year: 1908 Ex: 27.542726","Age: 43 ex_fr_female$Type: Predicted Year: 1909 Ex: 27.115028","Age: 43 ex_fr_female$Type: Predicted Year: 1910 Ex: 28.028738","Age: 43 ex_fr_female$Type: Predicted Year: 1911 Ex: 27.475428","Age: 43 ex_fr_female$Type: Predicted Year: 1912 Ex: 28.187881","Age: 43 ex_fr_female$Type: Predicted Year: 1913 Ex: 28.251241","Age: 43 ex_fr_female$Type: Predicted Year: 1914 Ex: 27.553061","Age: 43 ex_fr_female$Type: Predicted Year: 1915 Ex: 27.596672","Age: 43 ex_fr_female$Type: Predicted Year: 1916 Ex: 27.924895","Age: 43 ex_fr_female$Type: Predicted Year: 1917 Ex: 27.818968","Age: 43 ex_fr_female$Type: Predicted Year: 1918 Ex: 26.638533","Age: 43 ex_fr_female$Type: Predicted Year: 1919 Ex: 27.801524","Age: 43 ex_fr_female$Type: Predicted Year: 1920 Ex: 28.896041","Age: 43 ex_fr_female$Type: Predicted Year: 1921 Ex: 28.792312","Age: 43 ex_fr_female$Type: Predicted Year: 1922 Ex: 28.349422","Age: 43 ex_fr_female$Type: Predicted Year: 1923 Ex: 29.091500","Age: 43 ex_fr_female$Type: Predicted Year: 1924 Ex: 28.774028","Age: 43 ex_fr_female$Type: Predicted Year: 1925 Ex: 28.661841","Age: 43 ex_fr_female$Type: Predicted Year: 1926 Ex: 28.736080","Age: 43 ex_fr_female$Type: Predicted Year: 1927 Ex: 29.162280","Age: 43 ex_fr_female$Type: Predicted Year: 1928 Ex: 29.373832","Age: 43 ex_fr_female$Type: Predicted Year: 1929 Ex: 28.389199","Age: 43 ex_fr_female$Type: Predicted Year: 1930 Ex: 29.751933","Age: 43 ex_fr_female$Type: Predicted Year: 1931 Ex: 29.202547","Age: 43 ex_fr_female$Type: Predicted Year: 1932 Ex: 29.516408","Age: 43 ex_fr_female$Type: Predicted Year: 1933 Ex: 29.488189","Age: 43 ex_fr_female$Type: Predicted Year: 1934 Ex: 30.074679","Age: 43 ex_fr_female$Type: Predicted Year: 1935 Ex: 29.568599","Age: 43 ex_fr_female$Type: Predicted Year: 1936 Ex: 29.922233","Age: 43 ex_fr_female$Type: Predicted Year: 1937 Ex: 30.254951","Age: 43 ex_fr_female$Type: Predicted Year: 1938 Ex: 29.998250","Age: 43 ex_fr_female$Type: Predicted Year: 1939 Ex: 30.032843","Age: 43 ex_fr_female$Type: Predicted Year: 1940 Ex: 28.523925","Age: 43 ex_fr_female$Type: Predicted Year: 1941 Ex: 29.641762","Age: 43 ex_fr_female$Type: Predicted Year: 1942 Ex: 30.023850","Age: 43 ex_fr_female$Type: Predicted Year: 1943 Ex: 30.210982","Age: 43 ex_fr_female$Type: Predicted Year: 1944 Ex: 28.654426","Age: 43 ex_fr_female$Type: Predicted Year: 1945 Ex: 30.559575","Age: 43 ex_fr_female$Type: Predicted Year: 1946 Ex: 32.293748","Age: 43 ex_fr_female$Type: Predicted Year: 1947 Ex: 32.607039","Age: 43 ex_fr_female$Type: Predicted Year: 1948 Ex: 33.143764","Age: 43 ex_fr_female$Type: Predicted Year: 1949 Ex: 32.070952","Age: 43 ex_fr_female$Type: Predicted Year: 1950 Ex: 32.811407","Age: 43 ex_fr_female$Type: Predicted Year: 1951 Ex: 32.333358","Age: 43 ex_fr_female$Type: Predicted Year: 1952 Ex: 33.120882","Age: 43 ex_fr_female$Type: Predicted Year: 1953 Ex: 32.614239","Age: 43 ex_fr_female$Type: Predicted Year: 1954 Ex: 33.474411","Age: 43 ex_fr_female$Type: Predicted Year: 1955 Ex: 33.536620","Age: 43 ex_fr_female$Type: Predicted Year: 1956 Ex: 33.381779","Age: 43 ex_fr_female$Type: Predicted Year: 1957 Ex: 33.806630","Age: 43 ex_fr_female$Type: Predicted Year: 1958 Ex: 34.470836","Age: 43 ex_fr_female$Type: Predicted Year: 1959 Ex: 34.518167","Age: 43 ex_fr_female$Type: Predicted Year: 1960 Ex: 34.494870","Age: 43 ex_fr_female$Type: Predicted Year: 1961 Ex: 35.121937","Age: 43 ex_fr_female$Type: Predicted Year: 1962 Ex: 34.610538","Age: 43 ex_fr_female$Type: Predicted Year: 1963 Ex: 34.534117","Age: 43 ex_fr_female$Type: Predicted Year: 1964 Ex: 35.334302","Age: 43 ex_fr_female$Type: Predicted Year: 1965 Ex: 35.121581","Age: 43 ex_fr_female$Type: Predicted Year: 1966 Ex: 35.540908","Age: 43 ex_fr_female$Type: Predicted Year: 1967 Ex: 35.518947","Age: 43 ex_fr_female$Type: Predicted Year: 1968 Ex: 35.495500","Age: 43 ex_fr_female$Type: Predicted Year: 1969 Ex: 35.293995","Age: 43 ex_fr_female$Type: Predicted Year: 1970 Ex: 35.926387","Age: 43 ex_fr_female$Type: Predicted Year: 1971 Ex: 35.947098","Age: 43 ex_fr_female$Type: Predicted Year: 1972 Ex: 36.191339","Age: 43 ex_fr_female$Type: Predicted Year: 1973 Ex: 36.224408","Age: 43 ex_fr_female$Type: Predicted Year: 1974 Ex: 36.508590","Age: 43 ex_fr_female$Type: Predicted Year: 1975 Ex: 36.541928","Age: 43 ex_fr_female$Type: Predicted Year: 1976 Ex: 36.788530","Age: 43 ex_fr_female$Type: Predicted Year: 1977 Ex: 37.368003","Age: 43 ex_fr_female$Type: Predicted Year: 1978 Ex: 37.368261","Age: 43 ex_fr_female$Type: Predicted Year: 1979 Ex: 37.660005","Age: 43 ex_fr_female$Type: Predicted Year: 1980 Ex: 37.788223","Age: 43 ex_fr_female$Type: Predicted Year: 1981 Ex: 37.821688","Age: 43 ex_fr_female$Type: Predicted Year: 1982 Ex: 38.176751","Age: 43 ex_fr_female$Type: Predicted Year: 1983 Ex: 38.070882","Age: 43 ex_fr_female$Type: Predicted Year: 1984 Ex: 38.532631","Age: 43 ex_fr_female$Type: Predicted Year: 1985 Ex: 38.567794","Age: 43 ex_fr_female$Type: Predicted Year: 1986 Ex: 38.784473","Age: 43 ex_fr_female$Type: Predicted Year: 1987 Ex: 39.289449","Age: 43 ex_fr_female$Type: Predicted Year: 1988 Ex: 39.493171","Age: 43 ex_fr_female$Type: Predicted Year: 1989 Ex: 39.658804","Age: 43 ex_fr_female$Type: Predicted Year: 1990 Ex: 39.891034","Age: 43 ex_fr_female$Type: Predicted Year: 1991 Ex: 40.124826","Age: 43 ex_fr_female$Type: Predicted Year: 1992 Ex: 40.357622","Age: 43 ex_fr_female$Type: Predicted Year: 1993 Ex: 40.330871","Age: 43 ex_fr_female$Type: Predicted Year: 1994 Ex: 40.703578","Age: 43 ex_fr_female$Type: Predicted Year: 1995 Ex: 40.686768","Age: 43 ex_fr_female$Type: Predicted Year: 1996 Ex: 40.751558","Age: 43 ex_fr_female$Type: Predicted Year: 1997 Ex: 40.926623","Age: 43 ex_fr_female$Type: Predicted Year: 1998 Ex: 41.017113","Age: 43 ex_fr_female$Type: Predicted Year: 1999 Ex: 41.089657","Age: 43 ex_fr_female$Type: Predicted Year: 2000 Ex: 41.338288","Age: 43 ex_fr_female$Type: Predicted Year: 2001 Ex: 41.479441","Age: 43 ex_fr_female$Type: Predicted Year: 2002 Ex: 41.514262","Age: 43 ex_fr_female$Type: Predicted Year: 2003 Ex: 41.370824","Age: 43 ex_fr_female$Type: Predicted Year: 2004 Ex: 42.241556","Age: 43 ex_fr_female$Type: Predicted Year: 2005 Ex: 42.149146","Age: 43 ex_fr_female$Type: Predicted Year: 2006 Ex: 42.490791","Age: 43 ex_fr_female$Type: Predicted Year: 2007 Ex: 42.638701","Age: 43 ex_fr_female$Type: Predicted Year: 2008 Ex: 42.608131","Age: 43 ex_fr_female$Type: Predicted Year: 2009 Ex: 42.706133","Age: 43 ex_fr_female$Type: Predicted Year: 2010 Ex: 42.887192","Age: 43 ex_fr_female$Type: Predicted Year: 2011 Ex: 43.196730","Age: 43 ex_fr_female$Type: Predicted Year: 2012 Ex: 43.028514","Age: 43 ex_fr_female$Type: Predicted Year: 2013 Ex: 43.225534","Age: 43 ex_fr_female$Type: Predicted Year: 2014 Ex: 43.589412","Age: 43 ex_fr_female$Type: Predicted Year: 2015 Ex: 43.303610","Age: 43 ex_fr_female$Type: Predicted Year: 2016 Ex: 43.475435","Age: 43 ex_fr_female$Type: Predicted Year: 2017 Ex: 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24.640000","Age: 44 ex_fr_female$Type: Observed Year: 1832 Ex: 21.920000","Age: 44 ex_fr_female$Type: Observed Year: 1833 Ex: 24.440000","Age: 44 ex_fr_female$Type: Observed Year: 1834 Ex: 23.760000","Age: 44 ex_fr_female$Type: Observed Year: 1835 Ex: 24.440000","Age: 44 ex_fr_female$Type: Observed Year: 1836 Ex: 25.110000","Age: 44 ex_fr_female$Type: Observed Year: 1837 Ex: 23.200000","Age: 44 ex_fr_female$Type: Observed Year: 1838 Ex: 24.440000","Age: 44 ex_fr_female$Type: Observed Year: 1839 Ex: 25.070000","Age: 44 ex_fr_female$Type: Observed Year: 1840 Ex: 24.440000","Age: 44 ex_fr_female$Type: Observed Year: 1841 Ex: 25.260000","Age: 44 ex_fr_female$Type: Observed Year: 1842 Ex: 24.580000","Age: 44 ex_fr_female$Type: Observed Year: 1843 Ex: 25.060000","Age: 44 ex_fr_female$Type: Observed Year: 1844 Ex: 25.180000","Age: 44 ex_fr_female$Type: Observed Year: 1845 Ex: 25.540000","Age: 44 ex_fr_female$Type: Observed Year: 1846 Ex: 25.070000","Age: 44 ex_fr_female$Type: Observed Year: 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25.930000","Age: 44 ex_fr_female$Type: Observed Year: 1895 Ex: 25.480000","Age: 44 ex_fr_female$Type: Observed Year: 1896 Ex: 26.450000","Age: 44 ex_fr_female$Type: Observed Year: 1897 Ex: 26.830000","Age: 44 ex_fr_female$Type: Observed Year: 1898 Ex: 26.080000","Age: 44 ex_fr_female$Type: Observed Year: 1899 Ex: 26.070000","Age: 44 ex_fr_female$Type: Observed Year: 1900 Ex: 25.260000","Age: 44 ex_fr_female$Type: Observed Year: 1901 Ex: 26.180000","Age: 44 ex_fr_female$Type: Observed Year: 1902 Ex: 26.470000","Age: 44 ex_fr_female$Type: Observed Year: 1903 Ex: 26.580000","Age: 44 ex_fr_female$Type: Observed Year: 1904 Ex: 26.570000","Age: 44 ex_fr_female$Type: Observed Year: 1905 Ex: 26.220000","Age: 44 ex_fr_female$Type: Observed Year: 1906 Ex: 26.250000","Age: 44 ex_fr_female$Type: Observed Year: 1907 Ex: 25.810000","Age: 44 ex_fr_female$Type: Observed Year: 1908 Ex: 26.530000","Age: 44 ex_fr_female$Type: Observed Year: 1909 Ex: 26.080000","Age: 44 ex_fr_female$Type: Observed Year: 1910 Ex: 27.000000","Age: 44 ex_fr_female$Type: Observed Year: 1911 Ex: 26.440000","Age: 44 ex_fr_female$Type: Observed Year: 1912 Ex: 27.150000","Age: 44 ex_fr_female$Type: Observed Year: 1913 Ex: 27.200000","Age: 44 ex_fr_female$Type: Observed Year: 1914 Ex: 26.510000","Age: 44 ex_fr_female$Type: Observed Year: 1915 Ex: 26.560000","Age: 44 ex_fr_female$Type: Observed Year: 1916 Ex: 26.890000","Age: 44 ex_fr_female$Type: Observed Year: 1917 Ex: 26.780000","Age: 44 ex_fr_female$Type: Observed Year: 1918 Ex: 25.700000","Age: 44 ex_fr_female$Type: Observed Year: 1919 Ex: 26.770000","Age: 44 ex_fr_female$Type: Observed Year: 1920 Ex: 27.850000","Age: 44 ex_fr_female$Type: Observed Year: 1921 Ex: 27.740000","Age: 44 ex_fr_female$Type: Observed Year: 1922 Ex: 27.300000","Age: 44 ex_fr_female$Type: Observed Year: 1923 Ex: 28.030000","Age: 44 ex_fr_female$Type: Observed Year: 1924 Ex: 27.710000","Age: 44 ex_fr_female$Type: Observed Year: 1925 Ex: 27.610000","Age: 44 ex_fr_female$Type: Observed Year: 1926 Ex: 27.690000","Age: 44 ex_fr_female$Type: Observed Year: 1927 Ex: 28.090000","Age: 44 ex_fr_female$Type: Observed Year: 1928 Ex: 28.310000","Age: 44 ex_fr_female$Type: Observed Year: 1929 Ex: 27.330000","Age: 44 ex_fr_female$Type: Observed Year: 1930 Ex: 28.680000","Age: 44 ex_fr_female$Type: Observed Year: 1931 Ex: 28.140000","Age: 44 ex_fr_female$Type: Observed Year: 1932 Ex: 28.450000","Age: 44 ex_fr_female$Type: Observed Year: 1933 Ex: 28.410000","Age: 44 ex_fr_female$Type: Observed Year: 1934 Ex: 28.990000","Age: 44 ex_fr_female$Type: Observed Year: 1935 Ex: 28.490000","Age: 44 ex_fr_female$Type: Observed Year: 1936 Ex: 28.850000","Age: 44 ex_fr_female$Type: Observed Year: 1937 Ex: 29.170000","Age: 44 ex_fr_female$Type: Observed Year: 1938 Ex: 28.920000","Age: 44 ex_fr_female$Type: Observed Year: 1939 Ex: 28.940000","Age: 44 ex_fr_female$Type: Observed Year: 1940 Ex: 27.440000","Age: 44 ex_fr_female$Type: Observed Year: 1941 Ex: 28.560000","Age: 44 ex_fr_female$Type: Observed Year: 1942 Ex: 28.930000","Age: 44 ex_fr_female$Type: Observed Year: 1943 Ex: 29.130000","Age: 44 ex_fr_female$Type: Observed Year: 1944 Ex: 27.650000","Age: 44 ex_fr_female$Type: Observed Year: 1945 Ex: 29.470000","Age: 44 ex_fr_female$Type: Observed Year: 1946 Ex: 31.160000","Age: 44 ex_fr_female$Type: Observed Year: 1947 Ex: 31.460000","Age: 44 ex_fr_female$Type: Observed Year: 1948 Ex: 32.000000","Age: 44 ex_fr_female$Type: Observed Year: 1949 Ex: 30.930000","Age: 44 ex_fr_female$Type: Observed Year: 1950 Ex: 31.660000","Age: 44 ex_fr_female$Type: Observed Year: 1951 Ex: 31.180000","Age: 44 ex_fr_female$Type: Observed Year: 1952 Ex: 31.970000","Age: 44 ex_fr_female$Type: Observed Year: 1953 Ex: 31.460000","Age: 44 ex_fr_female$Type: Observed Year: 1954 Ex: 32.320000","Age: 44 ex_fr_female$Type: Observed Year: 1955 Ex: 32.380000","Age: 44 ex_fr_female$Type: Observed Year: 1956 Ex: 32.220000","Age: 44 ex_fr_female$Type: Observed Year: 1957 Ex: 32.650000","Age: 44 ex_fr_female$Type: Observed Year: 1958 Ex: 33.300000","Age: 44 ex_fr_female$Type: Observed Year: 1959 Ex: 33.350000","Age: 44 ex_fr_female$Type: Observed Year: 1960 Ex: 33.320000","Age: 44 ex_fr_female$Type: Observed Year: 1961 Ex: 33.950000","Age: 44 ex_fr_female$Type: Observed Year: 1962 Ex: 33.440000","Age: 44 ex_fr_female$Type: Observed Year: 1963 Ex: 33.360000","Age: 44 ex_fr_female$Type: Observed Year: 1964 Ex: 34.160000","Age: 44 ex_fr_female$Type: Observed Year: 1965 Ex: 33.950000","Age: 44 ex_fr_female$Type: Observed Year: 1966 Ex: 34.360000","Age: 44 ex_fr_female$Type: Observed Year: 1967 Ex: 34.340000","Age: 44 ex_fr_female$Type: Observed Year: 1968 Ex: 34.320000","Age: 44 ex_fr_female$Type: Observed Year: 1969 Ex: 34.110000","Age: 44 ex_fr_female$Type: Observed Year: 1970 Ex: 34.750000","Age: 44 ex_fr_female$Type: Observed Year: 1971 Ex: 34.770000","Age: 44 ex_fr_female$Type: Observed Year: 1972 Ex: 35.020000","Age: 44 ex_fr_female$Type: Observed Year: 1973 Ex: 35.050000","Age: 44 ex_fr_female$Type: Observed Year: 1974 Ex: 35.330000","Age: 44 ex_fr_female$Type: Observed Year: 1975 Ex: 35.360000","Age: 44 ex_fr_female$Type: Observed Year: 1976 Ex: 35.610000","Age: 44 ex_fr_female$Type: Observed Year: 1977 Ex: 36.180000","Age: 44 ex_fr_female$Type: Observed Year: 1978 Ex: 36.180000","Age: 44 ex_fr_female$Type: Observed Year: 1979 Ex: 36.470000","Age: 44 ex_fr_female$Type: Observed Year: 1980 Ex: 36.600000","Age: 44 ex_fr_female$Type: Observed Year: 1981 Ex: 36.630000","Age: 44 ex_fr_female$Type: Observed Year: 1982 Ex: 36.990000","Age: 44 ex_fr_female$Type: Observed Year: 1983 Ex: 36.880000","Age: 44 ex_fr_female$Type: Observed Year: 1984 Ex: 37.340000","Age: 44 ex_fr_female$Type: Observed Year: 1985 Ex: 37.370000","Age: 44 ex_fr_female$Type: Observed Year: 1986 Ex: 37.590000","Age: 44 ex_fr_female$Type: Observed Year: 1987 Ex: 38.090000","Age: 44 ex_fr_female$Type: Observed Year: 1988 Ex: 38.300000","Age: 44 ex_fr_female$Type: Observed Year: 1989 Ex: 38.470000","Age: 44 ex_fr_female$Type: Observed Year: 1990 Ex: 38.700000","Age: 44 ex_fr_female$Type: Observed Year: 1991 Ex: 38.930000","Age: 44 ex_fr_female$Type: Observed Year: 1992 Ex: 39.160000","Age: 44 ex_fr_female$Type: Observed Year: 1993 Ex: 39.140000","Age: 44 ex_fr_female$Type: Observed Year: 1994 Ex: 39.510000","Age: 44 ex_fr_female$Type: Observed Year: 1995 Ex: 39.500000","Age: 44 ex_fr_female$Type: Observed Year: 1996 Ex: 39.560000","Age: 44 ex_fr_female$Type: Observed Year: 1997 Ex: 39.730000","Age: 44 ex_fr_female$Type: Observed Year: 1998 Ex: 39.830000","Age: 44 ex_fr_female$Type: Observed Year: 1999 Ex: 39.890000","Age: 44 ex_fr_female$Type: Observed Year: 2000 Ex: 40.140000","Age: 44 ex_fr_female$Type: Observed Year: 2001 Ex: 40.290000","Age: 44 ex_fr_female$Type: Observed Year: 2002 Ex: 40.320000","Age: 44 ex_fr_female$Type: Observed Year: 2003 Ex: 40.180000","Age: 44 ex_fr_female$Type: Observed Year: 2004 Ex: 41.050000","Age: 44 ex_fr_female$Type: Observed Year: 2005 Ex: 40.950000","Age: 44 ex_fr_female$Type: Observed Year: 2006 Ex: 41.290000","Age: 44 ex_fr_female$Type: Observed Year: 2007 Ex: 41.440000","Age: 44 ex_fr_female$Type: Observed Year: 2008 Ex: 41.410000","Age: 44 ex_fr_female$Type: Observed Year: 2009 Ex: 41.500000","Age: 44 ex_fr_female$Type: Observed Year: 2010 Ex: 41.680000","Age: 44 ex_fr_female$Type: Observed Year: 2011 Ex: 41.990000","Age: 44 ex_fr_female$Type: Observed Year: 2012 Ex: 41.820000","Age: 44 ex_fr_female$Type: Observed Year: 2013 Ex: 42.020000","Age: 44 ex_fr_female$Type: Observed Year: 2014 Ex: 42.380000","Age: 44 ex_fr_female$Type: Observed Year: 2015 Ex: 42.100000","Age: 44 ex_fr_female$Type: Observed Year: 2016 Ex: 42.270000","Age: 44 ex_fr_female$Type: Observed Year: 2017 Ex: 42.230000"],"frame":"44","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[24.2225791755184,24.1545601258206,24.1997617336737,24.3834267289151,24.0376940317347,25.1372291910632,25.1736023006834,25.3174285922995,25.4726724402556,24.9614170269508,24.4537097933705,24.7342976953791,24.4997323859917,24.428891177542,24.4626509025731,24.9188550211545,22.208714734759,24.7181087716909,24.04510194114,24.7190913230612,25.3886742978576,23.4838410154499,24.7171677494355,25.3468345017782,24.7191044501494,25.5404043119286,24.8579240916957,25.3384799428306,25.4539108850922,25.8205031806263,25.3429516831874,24.2048339899957,24.6000708251854,23.0794738779694,25.4872462089394,25.3455180191683,25.330196276203,25.1689734622166,22.7436221159863,23.994465105453,25.3603963737396,24.8001555381516,24.2656832479262,24.3991587993434,25.6015900684321,25.5052585844102,25.7405819340553,25.5348415042954,25.2223331855938,24.9450749392552,25.0237522664417,25.3739642745287,25.1474867733791,25.2899513441811,23.7930786876399,22.3937667202619,26.1975516532145,25.5991467398099,26.0550900818061,25.2986940459523,25.8001093403652,26.1912533819518,25.7152683853339,25.468540175029,25.7240562684222,26.1452349846239,26.0278114871144,25.9779857037625,26.0751266353832,26.1076385126237,25.9927923912739,25.9136810698183,26.1954563279535,26.5830294814111,25.6103976260207,25.3326150371365,25.4965735223787,25.6319916640989,26.1963172754881,25.748314628058,26.7157060098576,27.1001988539072,26.3475451764338,26.3351047858002,25.5298432635389,26.4490809050284,26.7406556936695,26.8521822349809,26.837868817111,26.4857420812231,26.5170406379724,26.0814068080425,26.793760215078,26.3521552911397,27.2642862278225,26.7010733117225,27.4161355037223,27.4713452574752,26.7774462434944,26.8307095079092,27.1498753573755,27.0428041858061,25.9697015907626,27.0348531185627,28.1129599858948,28.0064428829299,27.5658137263791,28.2917672509499,27.9769127427769,27.87526888146,27.9500704248013,28.3561173133975,28.5720063464459,27.5921311004968,28.9429851957333,28.4015692300567,28.7164382943058,28.6725581102789,29.2535534709772,28.7552353922014,29.1114360988136,29.4328210094851,29.1805201821715,29.1972067464678,27.7035715551858,28.815672496475,29.1875695081442,29.392773074243,27.9095289657178,29.7268696934263,31.4195815002552,31.7270225159666,32.2673906985885,31.1927346295497,31.9250191548361,31.4424146997498,32.2323091794286,31.7239354913295,32.584067696424,32.6372047076062,32.4789231577014,32.906031979051,33.557231935005,33.6138926165154,33.5789408030172,34.2117238009713,33.6993412782389,33.6240856544477,34.4204491253664,34.2131026844122,34.6226483644465,34.6030930642326,34.5813443861631,34.3748110275997,35.0115126630395,35.0272989426719,35.2767434013569,35.3055949961674,35.5878964029103,35.6195010574077,35.8680889065845,36.4421821632829,36.4439182573104,36.731421160813,36.8583903259852,36.891918582026,37.2442528569395,37.1370645807169,37.600770793411,37.6291327358358,37.8507626785614,38.3519502840649,38.5556102269889,38.722685270557,38.953320585298,39.1851013728304,39.4186509199356,39.3942522045431,39.7655391517144,39.7519237915574,39.8131904670586,39.9885225999466,40.0819926888033,40.1485544243742,40.3946842095481,40.5450603876821,40.5750078576953,40.4301298177907,41.3046337189634,41.2058269917552,41.5462550605326,41.690141352757,41.662906797069,41.7580784314634,41.9338433615637,42.2467144687623,42.0740439730011,42.2721298954129,42.6364050342043,42.3502917935643,42.5192927522855,42.4763327179837],"text":["Age: 44 ex_fr_female$Type: Predicted Year: 1816 Ex: 24.222579","Age: 44 ex_fr_female$Type: Predicted Year: 1817 Ex: 24.154560","Age: 44 ex_fr_female$Type: Predicted Year: 1818 Ex: 24.199762","Age: 44 ex_fr_female$Type: Predicted Year: 1819 Ex: 24.383427","Age: 44 ex_fr_female$Type: Predicted Year: 1820 Ex: 24.037694","Age: 44 ex_fr_female$Type: Predicted Year: 1821 Ex: 25.137229","Age: 44 ex_fr_female$Type: Predicted Year: 1822 Ex: 25.173602","Age: 44 ex_fr_female$Type: Predicted Year: 1823 Ex: 25.317429","Age: 44 ex_fr_female$Type: Predicted Year: 1824 Ex: 25.472672","Age: 44 ex_fr_female$Type: Predicted Year: 1825 Ex: 24.961417","Age: 44 ex_fr_female$Type: Predicted Year: 1826 Ex: 24.453710","Age: 44 ex_fr_female$Type: Predicted Year: 1827 Ex: 24.734298","Age: 44 ex_fr_female$Type: Predicted Year: 1828 Ex: 24.499732","Age: 44 ex_fr_female$Type: Predicted Year: 1829 Ex: 24.428891","Age: 44 ex_fr_female$Type: Predicted Year: 1830 Ex: 24.462651","Age: 44 ex_fr_female$Type: Predicted Year: 1831 Ex: 24.918855","Age: 44 ex_fr_female$Type: Predicted Year: 1832 Ex: 22.208715","Age: 44 ex_fr_female$Type: Predicted Year: 1833 Ex: 24.718109","Age: 44 ex_fr_female$Type: Predicted Year: 1834 Ex: 24.045102","Age: 44 ex_fr_female$Type: Predicted Year: 1835 Ex: 24.719091","Age: 44 ex_fr_female$Type: Predicted Year: 1836 Ex: 25.388674","Age: 44 ex_fr_female$Type: Predicted Year: 1837 Ex: 23.483841","Age: 44 ex_fr_female$Type: Predicted Year: 1838 Ex: 24.717168","Age: 44 ex_fr_female$Type: Predicted Year: 1839 Ex: 25.346835","Age: 44 ex_fr_female$Type: Predicted Year: 1840 Ex: 24.719104","Age: 44 ex_fr_female$Type: Predicted Year: 1841 Ex: 25.540404","Age: 44 ex_fr_female$Type: Predicted Year: 1842 Ex: 24.857924","Age: 44 ex_fr_female$Type: Predicted Year: 1843 Ex: 25.338480","Age: 44 ex_fr_female$Type: Predicted Year: 1844 Ex: 25.453911","Age: 44 ex_fr_female$Type: Predicted Year: 1845 Ex: 25.820503","Age: 44 ex_fr_female$Type: Predicted Year: 1846 Ex: 25.342952","Age: 44 ex_fr_female$Type: Predicted Year: 1847 Ex: 24.204834","Age: 44 ex_fr_female$Type: Predicted Year: 1848 Ex: 24.600071","Age: 44 ex_fr_female$Type: Predicted Year: 1849 Ex: 23.079474","Age: 44 ex_fr_female$Type: Predicted Year: 1850 Ex: 25.487246","Age: 44 ex_fr_female$Type: Predicted Year: 1851 Ex: 25.345518","Age: 44 ex_fr_female$Type: Predicted Year: 1852 Ex: 25.330196","Age: 44 ex_fr_female$Type: Predicted Year: 1853 Ex: 25.168973","Age: 44 ex_fr_female$Type: Predicted Year: 1854 Ex: 22.743622","Age: 44 ex_fr_female$Type: Predicted Year: 1855 Ex: 23.994465","Age: 44 ex_fr_female$Type: Predicted Year: 1856 Ex: 25.360396","Age: 44 ex_fr_female$Type: Predicted Year: 1857 Ex: 24.800156","Age: 44 ex_fr_female$Type: Predicted Year: 1858 Ex: 24.265683","Age: 44 ex_fr_female$Type: Predicted Year: 1859 Ex: 24.399159","Age: 44 ex_fr_female$Type: Predicted Year: 1860 Ex: 25.601590","Age: 44 ex_fr_female$Type: Predicted Year: 1861 Ex: 25.505259","Age: 44 ex_fr_female$Type: Predicted Year: 1862 Ex: 25.740582","Age: 44 ex_fr_female$Type: Predicted Year: 1863 Ex: 25.534842","Age: 44 ex_fr_female$Type: Predicted Year: 1864 Ex: 25.222333","Age: 44 ex_fr_female$Type: Predicted Year: 1865 Ex: 24.945075","Age: 44 ex_fr_female$Type: Predicted Year: 1866 Ex: 25.023752","Age: 44 ex_fr_female$Type: Predicted Year: 1867 Ex: 25.373964","Age: 44 ex_fr_female$Type: Predicted Year: 1868 Ex: 25.147487","Age: 44 ex_fr_female$Type: Predicted Year: 1869 Ex: 25.289951","Age: 44 ex_fr_female$Type: Predicted Year: 1870 Ex: 23.793079","Age: 44 ex_fr_female$Type: Predicted Year: 1871 Ex: 22.393767","Age: 44 ex_fr_female$Type: Predicted Year: 1872 Ex: 26.197552","Age: 44 ex_fr_female$Type: Predicted Year: 1873 Ex: 25.599147","Age: 44 ex_fr_female$Type: Predicted Year: 1874 Ex: 26.055090","Age: 44 ex_fr_female$Type: Predicted Year: 1875 Ex: 25.298694","Age: 44 ex_fr_female$Type: Predicted Year: 1876 Ex: 25.800109","Age: 44 ex_fr_female$Type: Predicted Year: 1877 Ex: 26.191253","Age: 44 ex_fr_female$Type: Predicted Year: 1878 Ex: 25.715268","Age: 44 ex_fr_female$Type: Predicted Year: 1879 Ex: 25.468540","Age: 44 ex_fr_female$Type: Predicted Year: 1880 Ex: 25.724056","Age: 44 ex_fr_female$Type: Predicted Year: 1881 Ex: 26.145235","Age: 44 ex_fr_female$Type: Predicted Year: 1882 Ex: 26.027811","Age: 44 ex_fr_female$Type: Predicted Year: 1883 Ex: 25.977986","Age: 44 ex_fr_female$Type: Predicted Year: 1884 Ex: 26.075127","Age: 44 ex_fr_female$Type: Predicted Year: 1885 Ex: 26.107639","Age: 44 ex_fr_female$Type: Predicted Year: 1886 Ex: 25.992792","Age: 44 ex_fr_female$Type: Predicted Year: 1887 Ex: 25.913681","Age: 44 ex_fr_female$Type: Predicted Year: 1888 Ex: 26.195456","Age: 44 ex_fr_female$Type: Predicted Year: 1889 Ex: 26.583029","Age: 44 ex_fr_female$Type: Predicted Year: 1890 Ex: 25.610398","Age: 44 ex_fr_female$Type: Predicted Year: 1891 Ex: 25.332615","Age: 44 ex_fr_female$Type: Predicted Year: 1892 Ex: 25.496574","Age: 44 ex_fr_female$Type: Predicted Year: 1893 Ex: 25.631992","Age: 44 ex_fr_female$Type: Predicted Year: 1894 Ex: 26.196317","Age: 44 ex_fr_female$Type: Predicted Year: 1895 Ex: 25.748315","Age: 44 ex_fr_female$Type: Predicted Year: 1896 Ex: 26.715706","Age: 44 ex_fr_female$Type: Predicted Year: 1897 Ex: 27.100199","Age: 44 ex_fr_female$Type: Predicted Year: 1898 Ex: 26.347545","Age: 44 ex_fr_female$Type: Predicted Year: 1899 Ex: 26.335105","Age: 44 ex_fr_female$Type: Predicted Year: 1900 Ex: 25.529843","Age: 44 ex_fr_female$Type: Predicted Year: 1901 Ex: 26.449081","Age: 44 ex_fr_female$Type: Predicted Year: 1902 Ex: 26.740656","Age: 44 ex_fr_female$Type: Predicted Year: 1903 Ex: 26.852182","Age: 44 ex_fr_female$Type: Predicted Year: 1904 Ex: 26.837869","Age: 44 ex_fr_female$Type: Predicted Year: 1905 Ex: 26.485742","Age: 44 ex_fr_female$Type: Predicted Year: 1906 Ex: 26.517041","Age: 44 ex_fr_female$Type: Predicted Year: 1907 Ex: 26.081407","Age: 44 ex_fr_female$Type: Predicted Year: 1908 Ex: 26.793760","Age: 44 ex_fr_female$Type: Predicted Year: 1909 Ex: 26.352155","Age: 44 ex_fr_female$Type: Predicted Year: 1910 Ex: 27.264286","Age: 44 ex_fr_female$Type: Predicted Year: 1911 Ex: 26.701073","Age: 44 ex_fr_female$Type: Predicted Year: 1912 Ex: 27.416136","Age: 44 ex_fr_female$Type: Predicted Year: 1913 Ex: 27.471345","Age: 44 ex_fr_female$Type: Predicted Year: 1914 Ex: 26.777446","Age: 44 ex_fr_female$Type: Predicted Year: 1915 Ex: 26.830710","Age: 44 ex_fr_female$Type: Predicted Year: 1916 Ex: 27.149875","Age: 44 ex_fr_female$Type: Predicted Year: 1917 Ex: 27.042804","Age: 44 ex_fr_female$Type: Predicted Year: 1918 Ex: 25.969702","Age: 44 ex_fr_female$Type: Predicted Year: 1919 Ex: 27.034853","Age: 44 ex_fr_female$Type: Predicted Year: 1920 Ex: 28.112960","Age: 44 ex_fr_female$Type: Predicted Year: 1921 Ex: 28.006443","Age: 44 ex_fr_female$Type: Predicted Year: 1922 Ex: 27.565814","Age: 44 ex_fr_female$Type: Predicted Year: 1923 Ex: 28.291767","Age: 44 ex_fr_female$Type: Predicted Year: 1924 Ex: 27.976913","Age: 44 ex_fr_female$Type: Predicted Year: 1925 Ex: 27.875269","Age: 44 ex_fr_female$Type: Predicted Year: 1926 Ex: 27.950070","Age: 44 ex_fr_female$Type: Predicted Year: 1927 Ex: 28.356117","Age: 44 ex_fr_female$Type: Predicted Year: 1928 Ex: 28.572006","Age: 44 ex_fr_female$Type: Predicted Year: 1929 Ex: 27.592131","Age: 44 ex_fr_female$Type: Predicted Year: 1930 Ex: 28.942985","Age: 44 ex_fr_female$Type: Predicted Year: 1931 Ex: 28.401569","Age: 44 ex_fr_female$Type: Predicted Year: 1932 Ex: 28.716438","Age: 44 ex_fr_female$Type: Predicted Year: 1933 Ex: 28.672558","Age: 44 ex_fr_female$Type: Predicted Year: 1934 Ex: 29.253553","Age: 44 ex_fr_female$Type: Predicted Year: 1935 Ex: 28.755235","Age: 44 ex_fr_female$Type: Predicted Year: 1936 Ex: 29.111436","Age: 44 ex_fr_female$Type: Predicted Year: 1937 Ex: 29.432821","Age: 44 ex_fr_female$Type: Predicted Year: 1938 Ex: 29.180520","Age: 44 ex_fr_female$Type: Predicted Year: 1939 Ex: 29.197207","Age: 44 ex_fr_female$Type: Predicted Year: 1940 Ex: 27.703572","Age: 44 ex_fr_female$Type: Predicted Year: 1941 Ex: 28.815672","Age: 44 ex_fr_female$Type: Predicted Year: 1942 Ex: 29.187570","Age: 44 ex_fr_female$Type: Predicted Year: 1943 Ex: 29.392773","Age: 44 ex_fr_female$Type: Predicted Year: 1944 Ex: 27.909529","Age: 44 ex_fr_female$Type: Predicted Year: 1945 Ex: 29.726870","Age: 44 ex_fr_female$Type: Predicted Year: 1946 Ex: 31.419582","Age: 44 ex_fr_female$Type: Predicted Year: 1947 Ex: 31.727023","Age: 44 ex_fr_female$Type: Predicted Year: 1948 Ex: 32.267391","Age: 44 ex_fr_female$Type: Predicted Year: 1949 Ex: 31.192735","Age: 44 ex_fr_female$Type: Predicted Year: 1950 Ex: 31.925019","Age: 44 ex_fr_female$Type: Predicted Year: 1951 Ex: 31.442415","Age: 44 ex_fr_female$Type: Predicted Year: 1952 Ex: 32.232309","Age: 44 ex_fr_female$Type: Predicted Year: 1953 Ex: 31.723935","Age: 44 ex_fr_female$Type: Predicted Year: 1954 Ex: 32.584068","Age: 44 ex_fr_female$Type: Predicted Year: 1955 Ex: 32.637205","Age: 44 ex_fr_female$Type: Predicted Year: 1956 Ex: 32.478923","Age: 44 ex_fr_female$Type: Predicted Year: 1957 Ex: 32.906032","Age: 44 ex_fr_female$Type: Predicted Year: 1958 Ex: 33.557232","Age: 44 ex_fr_female$Type: Predicted Year: 1959 Ex: 33.613893","Age: 44 ex_fr_female$Type: Predicted Year: 1960 Ex: 33.578941","Age: 44 ex_fr_female$Type: Predicted Year: 1961 Ex: 34.211724","Age: 44 ex_fr_female$Type: Predicted Year: 1962 Ex: 33.699341","Age: 44 ex_fr_female$Type: Predicted Year: 1963 Ex: 33.624086","Age: 44 ex_fr_female$Type: Predicted Year: 1964 Ex: 34.420449","Age: 44 ex_fr_female$Type: Predicted Year: 1965 Ex: 34.213103","Age: 44 ex_fr_female$Type: Predicted Year: 1966 Ex: 34.622648","Age: 44 ex_fr_female$Type: Predicted Year: 1967 Ex: 34.603093","Age: 44 ex_fr_female$Type: Predicted Year: 1968 Ex: 34.581344","Age: 44 ex_fr_female$Type: Predicted Year: 1969 Ex: 34.374811","Age: 44 ex_fr_female$Type: Predicted Year: 1970 Ex: 35.011513","Age: 44 ex_fr_female$Type: Predicted Year: 1971 Ex: 35.027299","Age: 44 ex_fr_female$Type: Predicted Year: 1972 Ex: 35.276743","Age: 44 ex_fr_female$Type: Predicted Year: 1973 Ex: 35.305595","Age: 44 ex_fr_female$Type: Predicted Year: 1974 Ex: 35.587896","Age: 44 ex_fr_female$Type: Predicted Year: 1975 Ex: 35.619501","Age: 44 ex_fr_female$Type: Predicted Year: 1976 Ex: 35.868089","Age: 44 ex_fr_female$Type: Predicted Year: 1977 Ex: 36.442182","Age: 44 ex_fr_female$Type: Predicted Year: 1978 Ex: 36.443918","Age: 44 ex_fr_female$Type: Predicted Year: 1979 Ex: 36.731421","Age: 44 ex_fr_female$Type: Predicted Year: 1980 Ex: 36.858390","Age: 44 ex_fr_female$Type: Predicted Year: 1981 Ex: 36.891919","Age: 44 ex_fr_female$Type: Predicted Year: 1982 Ex: 37.244253","Age: 44 ex_fr_female$Type: Predicted Year: 1983 Ex: 37.137065","Age: 44 ex_fr_female$Type: Predicted Year: 1984 Ex: 37.600771","Age: 44 ex_fr_female$Type: Predicted Year: 1985 Ex: 37.629133","Age: 44 ex_fr_female$Type: Predicted Year: 1986 Ex: 37.850763","Age: 44 ex_fr_female$Type: Predicted Year: 1987 Ex: 38.351950","Age: 44 ex_fr_female$Type: Predicted Year: 1988 Ex: 38.555610","Age: 44 ex_fr_female$Type: Predicted Year: 1989 Ex: 38.722685","Age: 44 ex_fr_female$Type: Predicted Year: 1990 Ex: 38.953321","Age: 44 ex_fr_female$Type: Predicted Year: 1991 Ex: 39.185101","Age: 44 ex_fr_female$Type: Predicted Year: 1992 Ex: 39.418651","Age: 44 ex_fr_female$Type: Predicted Year: 1993 Ex: 39.394252","Age: 44 ex_fr_female$Type: Predicted Year: 1994 Ex: 39.765539","Age: 44 ex_fr_female$Type: Predicted Year: 1995 Ex: 39.751924","Age: 44 ex_fr_female$Type: Predicted Year: 1996 Ex: 39.813190","Age: 44 ex_fr_female$Type: Predicted Year: 1997 Ex: 39.988523","Age: 44 ex_fr_female$Type: Predicted Year: 1998 Ex: 40.081993","Age: 44 ex_fr_female$Type: Predicted Year: 1999 Ex: 40.148554","Age: 44 ex_fr_female$Type: Predicted Year: 2000 Ex: 40.394684","Age: 44 ex_fr_female$Type: Predicted Year: 2001 Ex: 40.545060","Age: 44 ex_fr_female$Type: Predicted Year: 2002 Ex: 40.575008","Age: 44 ex_fr_female$Type: Predicted Year: 2003 Ex: 40.430130","Age: 44 ex_fr_female$Type: Predicted Year: 2004 Ex: 41.304634","Age: 44 ex_fr_female$Type: Predicted Year: 2005 Ex: 41.205827","Age: 44 ex_fr_female$Type: Predicted Year: 2006 Ex: 41.546255","Age: 44 ex_fr_female$Type: Predicted Year: 2007 Ex: 41.690141","Age: 44 ex_fr_female$Type: Predicted Year: 2008 Ex: 41.662907","Age: 44 ex_fr_female$Type: Predicted Year: 2009 Ex: 41.758078","Age: 44 ex_fr_female$Type: Predicted Year: 2010 Ex: 41.933843","Age: 44 ex_fr_female$Type: Predicted Year: 2011 Ex: 42.246714","Age: 44 ex_fr_female$Type: Predicted Year: 2012 Ex: 42.074044","Age: 44 ex_fr_female$Type: Predicted Year: 2013 Ex: 42.272130","Age: 44 ex_fr_female$Type: Predicted Year: 2014 Ex: 42.636405","Age: 44 ex_fr_female$Type: Predicted Year: 2015 Ex: 42.350292","Age: 44 ex_fr_female$Type: Predicted Year: 2016 Ex: 42.519293","Age: 44 ex_fr_female$Type: Predicted Year: 2017 Ex: 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25.190000","Age: 45 ex_fr_female$Type: Observed Year: 1895 Ex: 24.730000","Age: 45 ex_fr_female$Type: Observed Year: 1896 Ex: 25.690000","Age: 45 ex_fr_female$Type: Observed Year: 1897 Ex: 26.060000","Age: 45 ex_fr_female$Type: Observed Year: 1898 Ex: 25.320000","Age: 45 ex_fr_female$Type: Observed Year: 1899 Ex: 25.310000","Age: 45 ex_fr_female$Type: Observed Year: 1900 Ex: 24.510000","Age: 45 ex_fr_female$Type: Observed Year: 1901 Ex: 25.430000","Age: 45 ex_fr_female$Type: Observed Year: 1902 Ex: 25.730000","Age: 45 ex_fr_female$Type: Observed Year: 1903 Ex: 25.830000","Age: 45 ex_fr_female$Type: Observed Year: 1904 Ex: 25.800000","Age: 45 ex_fr_female$Type: Observed Year: 1905 Ex: 25.470000","Age: 45 ex_fr_female$Type: Observed Year: 1906 Ex: 25.520000","Age: 45 ex_fr_female$Type: Observed Year: 1907 Ex: 25.070000","Age: 45 ex_fr_female$Type: Observed Year: 1908 Ex: 25.770000","Age: 45 ex_fr_female$Type: Observed Year: 1909 Ex: 25.320000","Age: 45 ex_fr_female$Type: Observed Year: 1910 Ex: 26.230000","Age: 45 ex_fr_female$Type: Observed Year: 1911 Ex: 25.670000","Age: 45 ex_fr_female$Type: Observed Year: 1912 Ex: 26.390000","Age: 45 ex_fr_female$Type: Observed Year: 1913 Ex: 26.440000","Age: 45 ex_fr_female$Type: Observed Year: 1914 Ex: 25.750000","Age: 45 ex_fr_female$Type: Observed Year: 1915 Ex: 25.790000","Age: 45 ex_fr_female$Type: Observed Year: 1916 Ex: 26.120000","Age: 45 ex_fr_female$Type: Observed Year: 1917 Ex: 26.010000","Age: 45 ex_fr_female$Type: Observed Year: 1918 Ex: 25.010000","Age: 45 ex_fr_female$Type: Observed Year: 1919 Ex: 26.010000","Age: 45 ex_fr_female$Type: Observed Year: 1920 Ex: 27.070000","Age: 45 ex_fr_female$Type: Observed Year: 1921 Ex: 26.950000","Age: 45 ex_fr_female$Type: Observed Year: 1922 Ex: 26.520000","Age: 45 ex_fr_female$Type: Observed Year: 1923 Ex: 27.240000","Age: 45 ex_fr_female$Type: Observed Year: 1924 Ex: 26.920000","Age: 45 ex_fr_female$Type: Observed Year: 1925 Ex: 26.820000","Age: 45 ex_fr_female$Type: Observed Year: 1926 Ex: 26.900000","Age: 45 ex_fr_female$Type: Observed Year: 1927 Ex: 27.290000","Age: 45 ex_fr_female$Type: Observed Year: 1928 Ex: 27.500000","Age: 45 ex_fr_female$Type: Observed Year: 1929 Ex: 26.540000","Age: 45 ex_fr_female$Type: Observed Year: 1930 Ex: 27.880000","Age: 45 ex_fr_female$Type: Observed Year: 1931 Ex: 27.340000","Age: 45 ex_fr_female$Type: Observed Year: 1932 Ex: 27.650000","Age: 45 ex_fr_female$Type: Observed Year: 1933 Ex: 27.600000","Age: 45 ex_fr_female$Type: Observed Year: 1934 Ex: 28.170000","Age: 45 ex_fr_female$Type: Observed Year: 1935 Ex: 27.680000","Age: 45 ex_fr_female$Type: Observed Year: 1936 Ex: 28.030000","Age: 45 ex_fr_female$Type: Observed Year: 1937 Ex: 28.360000","Age: 45 ex_fr_female$Type: Observed Year: 1938 Ex: 28.100000","Age: 45 ex_fr_female$Type: Observed Year: 1939 Ex: 28.110000","Age: 45 ex_fr_female$Type: Observed Year: 1940 Ex: 26.640000","Age: 45 ex_fr_female$Type: Observed Year: 1941 Ex: 27.740000","Age: 45 ex_fr_female$Type: Observed Year: 1942 Ex: 28.090000","Age: 45 ex_fr_female$Type: Observed Year: 1943 Ex: 28.310000","Age: 45 ex_fr_female$Type: Observed Year: 1944 Ex: 26.910000","Age: 45 ex_fr_female$Type: Observed Year: 1945 Ex: 28.630000","Age: 45 ex_fr_female$Type: Observed Year: 1946 Ex: 30.280000","Age: 45 ex_fr_female$Type: Observed Year: 1947 Ex: 30.580000","Age: 45 ex_fr_female$Type: Observed Year: 1948 Ex: 31.120000","Age: 45 ex_fr_female$Type: Observed Year: 1949 Ex: 30.050000","Age: 45 ex_fr_female$Type: Observed Year: 1950 Ex: 30.780000","Age: 45 ex_fr_female$Type: Observed Year: 1951 Ex: 30.300000","Age: 45 ex_fr_female$Type: Observed Year: 1952 Ex: 31.090000","Age: 45 ex_fr_female$Type: Observed Year: 1953 Ex: 30.580000","Age: 45 ex_fr_female$Type: Observed Year: 1954 Ex: 31.430000","Age: 45 ex_fr_female$Type: Observed Year: 1955 Ex: 31.480000","Age: 45 ex_fr_female$Type: Observed Year: 1956 Ex: 31.320000","Age: 45 ex_fr_female$Type: Observed Year: 1957 Ex: 31.750000","Age: 45 ex_fr_female$Type: Observed Year: 1958 Ex: 32.390000","Age: 45 ex_fr_female$Type: Observed Year: 1959 Ex: 32.440000","Age: 45 ex_fr_female$Type: Observed Year: 1960 Ex: 32.420000","Age: 45 ex_fr_female$Type: Observed Year: 1961 Ex: 33.040000","Age: 45 ex_fr_female$Type: Observed Year: 1962 Ex: 32.530000","Age: 45 ex_fr_female$Type: Observed Year: 1963 Ex: 32.460000","Age: 45 ex_fr_female$Type: Observed Year: 1964 Ex: 33.250000","Age: 45 ex_fr_female$Type: Observed Year: 1965 Ex: 33.040000","Age: 45 ex_fr_female$Type: Observed Year: 1966 Ex: 33.450000","Age: 45 ex_fr_female$Type: Observed Year: 1967 Ex: 33.430000","Age: 45 ex_fr_female$Type: Observed Year: 1968 Ex: 33.410000","Age: 45 ex_fr_female$Type: Observed Year: 1969 Ex: 33.200000","Age: 45 ex_fr_female$Type: Observed Year: 1970 Ex: 33.830000","Age: 45 ex_fr_female$Type: Observed Year: 1971 Ex: 33.850000","Age: 45 ex_fr_female$Type: Observed Year: 1972 Ex: 34.100000","Age: 45 ex_fr_female$Type: Observed Year: 1973 Ex: 34.130000","Age: 45 ex_fr_female$Type: Observed Year: 1974 Ex: 34.410000","Age: 45 ex_fr_female$Type: Observed Year: 1975 Ex: 34.440000","Age: 45 ex_fr_female$Type: Observed Year: 1976 Ex: 34.690000","Age: 45 ex_fr_female$Type: Observed Year: 1977 Ex: 35.260000","Age: 45 ex_fr_female$Type: Observed Year: 1978 Ex: 35.260000","Age: 45 ex_fr_female$Type: Observed Year: 1979 Ex: 35.540000","Age: 45 ex_fr_female$Type: Observed Year: 1980 Ex: 35.670000","Age: 45 ex_fr_female$Type: Observed Year: 1981 Ex: 35.700000","Age: 45 ex_fr_female$Type: Observed Year: 1982 Ex: 36.050000","Age: 45 ex_fr_female$Type: Observed Year: 1983 Ex: 35.950000","Age: 45 ex_fr_female$Type: Observed Year: 1984 Ex: 36.410000","Age: 45 ex_fr_female$Type: Observed Year: 1985 Ex: 36.430000","Age: 45 ex_fr_female$Type: Observed Year: 1986 Ex: 36.660000","Age: 45 ex_fr_female$Type: Observed Year: 1987 Ex: 37.160000","Age: 45 ex_fr_female$Type: Observed Year: 1988 Ex: 37.370000","Age: 45 ex_fr_female$Type: Observed Year: 1989 Ex: 37.530000","Age: 45 ex_fr_female$Type: Observed Year: 1990 Ex: 37.760000","Age: 45 ex_fr_female$Type: Observed Year: 1991 Ex: 37.990000","Age: 45 ex_fr_female$Type: Observed Year: 1992 Ex: 38.220000","Age: 45 ex_fr_female$Type: Observed Year: 1993 Ex: 38.210000","Age: 45 ex_fr_female$Type: Observed Year: 1994 Ex: 38.580000","Age: 45 ex_fr_female$Type: Observed Year: 1995 Ex: 38.560000","Age: 45 ex_fr_female$Type: Observed Year: 1996 Ex: 38.620000","Age: 45 ex_fr_female$Type: Observed Year: 1997 Ex: 38.800000","Age: 45 ex_fr_female$Type: Observed Year: 1998 Ex: 38.890000","Age: 45 ex_fr_female$Type: Observed Year: 1999 Ex: 38.960000","Age: 45 ex_fr_female$Type: Observed Year: 2000 Ex: 39.200000","Age: 45 ex_fr_female$Type: Observed Year: 2001 Ex: 39.360000","Age: 45 ex_fr_female$Type: Observed Year: 2002 Ex: 39.390000","Age: 45 ex_fr_female$Type: Observed Year: 2003 Ex: 39.240000","Age: 45 ex_fr_female$Type: Observed Year: 2004 Ex: 40.110000","Age: 45 ex_fr_female$Type: Observed Year: 2005 Ex: 40.010000","Age: 45 ex_fr_female$Type: Observed Year: 2006 Ex: 40.340000","Age: 45 ex_fr_female$Type: Observed Year: 2007 Ex: 40.490000","Age: 45 ex_fr_female$Type: Observed Year: 2008 Ex: 40.470000","Age: 45 ex_fr_female$Type: Observed Year: 2009 Ex: 40.560000","Age: 45 ex_fr_female$Type: Observed Year: 2010 Ex: 40.740000","Age: 45 ex_fr_female$Type: Observed Year: 2011 Ex: 41.040000","Age: 45 ex_fr_female$Type: Observed Year: 2012 Ex: 40.870000","Age: 45 ex_fr_female$Type: Observed Year: 2013 Ex: 41.070000","Age: 45 ex_fr_female$Type: Observed Year: 2014 Ex: 41.430000","Age: 45 ex_fr_female$Type: Observed Year: 2015 Ex: 41.140000","Age: 45 ex_fr_female$Type: Observed Year: 2016 Ex: 41.310000","Age: 45 ex_fr_female$Type: Observed Year: 2017 Ex: 41.270000"],"frame":"45","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[23.5457317992628,23.4882983494398,23.5331763058799,23.7140972059674,23.3611914249767,24.4593590315692,24.4864606975724,24.6195472964263,24.7794617192997,24.2725758620091,23.7707858522404,24.0521413457319,23.8132838614375,23.7373962485058,23.7718339504812,24.209696043457,21.5864480134624,24.037948507442,23.3813555245719,24.0502350491283,24.6997232466087,22.8132447808908,24.032087941197,24.6483051941446,24.0379757546891,24.8607033511273,24.1781295217917,24.6406035022562,24.7440551286517,25.1126045534814,24.648650329495,23.5253421225917,23.9156656912246,22.4487074283637,24.7792948122727,24.6361614854879,24.6196556682209,24.4483188177529,22.1078157917975,23.3137958670171,24.6630381526241,24.1097552735899,23.5778623831691,23.7133333732303,24.8840572652641,24.7904351679863,25.0126190915525,24.8056734748833,24.5020327439475,24.2411761709386,24.3329721448787,24.6518577156843,24.4335694678912,24.5776876210102,23.1200632872046,21.8068212145124,25.4906236069396,24.888694509374,25.3284505177959,24.5807623719958,25.0822520341871,25.4650316928483,24.9931505209403,24.742441077763,24.9999951079094,25.421633399161,25.3140423221008,25.267780511711,25.367837099032,25.3939875535516,25.2775994177732,25.2024874217959,25.4651245601896,25.8462243355723,24.8751945570207,24.6120554686162,24.7831680493375,24.9013342914419,25.4553503888247,25.0018115081082,25.9558884807347,26.3299484874751,25.5929640826831,25.580405572242,24.7755852819838,25.6949399634231,25.9996104001903,26.0952107688686,26.0693378462633,25.7400818437377,25.7824606067895,25.3405735892448,26.0359845950323,25.589006991147,26.4995028048404,25.937948911728,26.6551304994563,26.7053887483805,26.013421421959,26.0623812454088,26.3848929904223,26.2709872129929,25.2797608384594,26.2707303253018,27.3319674492637,27.2165664333784,26.7853925999374,27.4998700581127,27.189025776383,27.0797013707984,27.1683393274201,27.5537587251939,27.7675044489058,26.800181696947,28.1433582612673,27.6020622306862,27.9101010588938,27.8588290309092,28.4387457514813,27.9448973361779,28.2948491802803,28.6185855103486,28.360623963347,28.3707742090487,26.8971310459067,28.0011795183033,28.3495364614486,28.5745004768256,27.1714389682438,28.8936450578938,30.5441285574713,30.8465380165838,31.3848290440136,30.3157516020128,31.0421380672692,30.5605303099934,31.3502548356766,30.838737997181,31.691729656991,31.7402085688485,31.582702992064,32.0072967719025,32.6539001879045,32.7050812055207,32.6756725384958,33.3035445659503,32.7897664647694,32.7202849918848,33.5070566952877,33.3039130706027,33.7128512239031,33.6870899893886,33.6700712264595,33.4616416870745,34.0930560541258,34.1133790868186,34.3634454364599,34.3895776792412,34.670098256662,34.698256946372,34.9491746733835,35.5202614145649,35.5212808463469,35.8046826256373,35.9340945102149,35.959670559928,36.3093477935151,36.2063741302988,36.6690990736887,36.691934037259,36.9221708300621,37.4209035810822,37.6283659242133,37.7919309982803,38.0183616567926,38.248209521209,38.4798012048535,38.4619871327665,38.831560715603,38.8175292848762,38.879292152459,39.0533369247569,39.1453745826204,39.21323428217,39.4593659902099,39.6103870773661,39.6431933287037,39.491269688413,40.3671126049011,40.2632626999879,40.6004719003268,40.7490853998852,40.7209874425079,40.817119698126,40.989401935913,41.2980945262942,41.1256277694815,41.3222865452773,41.6869990766709,41.3967714136443,41.5663807294353,41.5200108166216],"text":["Age: 45 ex_fr_female$Type: Predicted Year: 1816 Ex: 23.545732","Age: 45 ex_fr_female$Type: Predicted Year: 1817 Ex: 23.488298","Age: 45 ex_fr_female$Type: Predicted Year: 1818 Ex: 23.533176","Age: 45 ex_fr_female$Type: Predicted Year: 1819 Ex: 23.714097","Age: 45 ex_fr_female$Type: Predicted Year: 1820 Ex: 23.361191","Age: 45 ex_fr_female$Type: Predicted Year: 1821 Ex: 24.459359","Age: 45 ex_fr_female$Type: Predicted Year: 1822 Ex: 24.486461","Age: 45 ex_fr_female$Type: Predicted Year: 1823 Ex: 24.619547","Age: 45 ex_fr_female$Type: Predicted Year: 1824 Ex: 24.779462","Age: 45 ex_fr_female$Type: Predicted Year: 1825 Ex: 24.272576","Age: 45 ex_fr_female$Type: Predicted Year: 1826 Ex: 23.770786","Age: 45 ex_fr_female$Type: Predicted Year: 1827 Ex: 24.052141","Age: 45 ex_fr_female$Type: Predicted Year: 1828 Ex: 23.813284","Age: 45 ex_fr_female$Type: Predicted Year: 1829 Ex: 23.737396","Age: 45 ex_fr_female$Type: Predicted Year: 1830 Ex: 23.771834","Age: 45 ex_fr_female$Type: Predicted Year: 1831 Ex: 24.209696","Age: 45 ex_fr_female$Type: Predicted Year: 1832 Ex: 21.586448","Age: 45 ex_fr_female$Type: Predicted Year: 1833 Ex: 24.037949","Age: 45 ex_fr_female$Type: Predicted Year: 1834 Ex: 23.381356","Age: 45 ex_fr_female$Type: Predicted Year: 1835 Ex: 24.050235","Age: 45 ex_fr_female$Type: Predicted Year: 1836 Ex: 24.699723","Age: 45 ex_fr_female$Type: Predicted Year: 1837 Ex: 22.813245","Age: 45 ex_fr_female$Type: Predicted Year: 1838 Ex: 24.032088","Age: 45 ex_fr_female$Type: Predicted Year: 1839 Ex: 24.648305","Age: 45 ex_fr_female$Type: Predicted Year: 1840 Ex: 24.037976","Age: 45 ex_fr_female$Type: Predicted Year: 1841 Ex: 24.860703","Age: 45 ex_fr_female$Type: Predicted Year: 1842 Ex: 24.178130","Age: 45 ex_fr_female$Type: Predicted Year: 1843 Ex: 24.640604","Age: 45 ex_fr_female$Type: Predicted Year: 1844 Ex: 24.744055","Age: 45 ex_fr_female$Type: Predicted Year: 1845 Ex: 25.112605","Age: 45 ex_fr_female$Type: Predicted Year: 1846 Ex: 24.648650","Age: 45 ex_fr_female$Type: Predicted Year: 1847 Ex: 23.525342","Age: 45 ex_fr_female$Type: Predicted Year: 1848 Ex: 23.915666","Age: 45 ex_fr_female$Type: Predicted Year: 1849 Ex: 22.448707","Age: 45 ex_fr_female$Type: Predicted Year: 1850 Ex: 24.779295","Age: 45 ex_fr_female$Type: Predicted Year: 1851 Ex: 24.636161","Age: 45 ex_fr_female$Type: Predicted Year: 1852 Ex: 24.619656","Age: 45 ex_fr_female$Type: Predicted Year: 1853 Ex: 24.448319","Age: 45 ex_fr_female$Type: Predicted Year: 1854 Ex: 22.107816","Age: 45 ex_fr_female$Type: Predicted Year: 1855 Ex: 23.313796","Age: 45 ex_fr_female$Type: Predicted Year: 1856 Ex: 24.663038","Age: 45 ex_fr_female$Type: Predicted Year: 1857 Ex: 24.109755","Age: 45 ex_fr_female$Type: Predicted Year: 1858 Ex: 23.577862","Age: 45 ex_fr_female$Type: Predicted Year: 1859 Ex: 23.713333","Age: 45 ex_fr_female$Type: Predicted Year: 1860 Ex: 24.884057","Age: 45 ex_fr_female$Type: Predicted Year: 1861 Ex: 24.790435","Age: 45 ex_fr_female$Type: Predicted Year: 1862 Ex: 25.012619","Age: 45 ex_fr_female$Type: Predicted Year: 1863 Ex: 24.805673","Age: 45 ex_fr_female$Type: Predicted Year: 1864 Ex: 24.502033","Age: 45 ex_fr_female$Type: Predicted Year: 1865 Ex: 24.241176","Age: 45 ex_fr_female$Type: Predicted Year: 1866 Ex: 24.332972","Age: 45 ex_fr_female$Type: Predicted Year: 1867 Ex: 24.651858","Age: 45 ex_fr_female$Type: Predicted Year: 1868 Ex: 24.433569","Age: 45 ex_fr_female$Type: Predicted Year: 1869 Ex: 24.577688","Age: 45 ex_fr_female$Type: Predicted Year: 1870 Ex: 23.120063","Age: 45 ex_fr_female$Type: Predicted Year: 1871 Ex: 21.806821","Age: 45 ex_fr_female$Type: Predicted Year: 1872 Ex: 25.490624","Age: 45 ex_fr_female$Type: Predicted Year: 1873 Ex: 24.888695","Age: 45 ex_fr_female$Type: Predicted Year: 1874 Ex: 25.328451","Age: 45 ex_fr_female$Type: Predicted Year: 1875 Ex: 24.580762","Age: 45 ex_fr_female$Type: Predicted Year: 1876 Ex: 25.082252","Age: 45 ex_fr_female$Type: Predicted Year: 1877 Ex: 25.465032","Age: 45 ex_fr_female$Type: Predicted Year: 1878 Ex: 24.993151","Age: 45 ex_fr_female$Type: Predicted Year: 1879 Ex: 24.742441","Age: 45 ex_fr_female$Type: Predicted Year: 1880 Ex: 24.999995","Age: 45 ex_fr_female$Type: Predicted Year: 1881 Ex: 25.421633","Age: 45 ex_fr_female$Type: Predicted Year: 1882 Ex: 25.314042","Age: 45 ex_fr_female$Type: Predicted Year: 1883 Ex: 25.267781","Age: 45 ex_fr_female$Type: Predicted Year: 1884 Ex: 25.367837","Age: 45 ex_fr_female$Type: Predicted Year: 1885 Ex: 25.393988","Age: 45 ex_fr_female$Type: Predicted Year: 1886 Ex: 25.277599","Age: 45 ex_fr_female$Type: Predicted Year: 1887 Ex: 25.202487","Age: 45 ex_fr_female$Type: Predicted Year: 1888 Ex: 25.465125","Age: 45 ex_fr_female$Type: Predicted Year: 1889 Ex: 25.846224","Age: 45 ex_fr_female$Type: Predicted Year: 1890 Ex: 24.875195","Age: 45 ex_fr_female$Type: Predicted Year: 1891 Ex: 24.612055","Age: 45 ex_fr_female$Type: Predicted Year: 1892 Ex: 24.783168","Age: 45 ex_fr_female$Type: Predicted Year: 1893 Ex: 24.901334","Age: 45 ex_fr_female$Type: Predicted Year: 1894 Ex: 25.455350","Age: 45 ex_fr_female$Type: Predicted Year: 1895 Ex: 25.001812","Age: 45 ex_fr_female$Type: Predicted Year: 1896 Ex: 25.955888","Age: 45 ex_fr_female$Type: Predicted Year: 1897 Ex: 26.329948","Age: 45 ex_fr_female$Type: Predicted Year: 1898 Ex: 25.592964","Age: 45 ex_fr_female$Type: Predicted Year: 1899 Ex: 25.580406","Age: 45 ex_fr_female$Type: Predicted Year: 1900 Ex: 24.775585","Age: 45 ex_fr_female$Type: Predicted Year: 1901 Ex: 25.694940","Age: 45 ex_fr_female$Type: Predicted Year: 1902 Ex: 25.999610","Age: 45 ex_fr_female$Type: Predicted Year: 1903 Ex: 26.095211","Age: 45 ex_fr_female$Type: Predicted Year: 1904 Ex: 26.069338","Age: 45 ex_fr_female$Type: Predicted Year: 1905 Ex: 25.740082","Age: 45 ex_fr_female$Type: Predicted Year: 1906 Ex: 25.782461","Age: 45 ex_fr_female$Type: Predicted Year: 1907 Ex: 25.340574","Age: 45 ex_fr_female$Type: Predicted Year: 1908 Ex: 26.035985","Age: 45 ex_fr_female$Type: Predicted Year: 1909 Ex: 25.589007","Age: 45 ex_fr_female$Type: Predicted Year: 1910 Ex: 26.499503","Age: 45 ex_fr_female$Type: Predicted Year: 1911 Ex: 25.937949","Age: 45 ex_fr_female$Type: Predicted Year: 1912 Ex: 26.655130","Age: 45 ex_fr_female$Type: Predicted Year: 1913 Ex: 26.705389","Age: 45 ex_fr_female$Type: Predicted Year: 1914 Ex: 26.013421","Age: 45 ex_fr_female$Type: Predicted Year: 1915 Ex: 26.062381","Age: 45 ex_fr_female$Type: Predicted Year: 1916 Ex: 26.384893","Age: 45 ex_fr_female$Type: Predicted Year: 1917 Ex: 26.270987","Age: 45 ex_fr_female$Type: Predicted Year: 1918 Ex: 25.279761","Age: 45 ex_fr_female$Type: Predicted Year: 1919 Ex: 26.270730","Age: 45 ex_fr_female$Type: Predicted Year: 1920 Ex: 27.331967","Age: 45 ex_fr_female$Type: Predicted Year: 1921 Ex: 27.216566","Age: 45 ex_fr_female$Type: Predicted Year: 1922 Ex: 26.785393","Age: 45 ex_fr_female$Type: Predicted Year: 1923 Ex: 27.499870","Age: 45 ex_fr_female$Type: Predicted Year: 1924 Ex: 27.189026","Age: 45 ex_fr_female$Type: Predicted Year: 1925 Ex: 27.079701","Age: 45 ex_fr_female$Type: Predicted Year: 1926 Ex: 27.168339","Age: 45 ex_fr_female$Type: Predicted Year: 1927 Ex: 27.553759","Age: 45 ex_fr_female$Type: Predicted Year: 1928 Ex: 27.767504","Age: 45 ex_fr_female$Type: Predicted Year: 1929 Ex: 26.800182","Age: 45 ex_fr_female$Type: Predicted Year: 1930 Ex: 28.143358","Age: 45 ex_fr_female$Type: Predicted Year: 1931 Ex: 27.602062","Age: 45 ex_fr_female$Type: Predicted Year: 1932 Ex: 27.910101","Age: 45 ex_fr_female$Type: Predicted Year: 1933 Ex: 27.858829","Age: 45 ex_fr_female$Type: Predicted Year: 1934 Ex: 28.438746","Age: 45 ex_fr_female$Type: Predicted Year: 1935 Ex: 27.944897","Age: 45 ex_fr_female$Type: Predicted Year: 1936 Ex: 28.294849","Age: 45 ex_fr_female$Type: Predicted Year: 1937 Ex: 28.618586","Age: 45 ex_fr_female$Type: Predicted Year: 1938 Ex: 28.360624","Age: 45 ex_fr_female$Type: Predicted Year: 1939 Ex: 28.370774","Age: 45 ex_fr_female$Type: Predicted Year: 1940 Ex: 26.897131","Age: 45 ex_fr_female$Type: Predicted Year: 1941 Ex: 28.001180","Age: 45 ex_fr_female$Type: Predicted Year: 1942 Ex: 28.349536","Age: 45 ex_fr_female$Type: Predicted Year: 1943 Ex: 28.574500","Age: 45 ex_fr_female$Type: Predicted Year: 1944 Ex: 27.171439","Age: 45 ex_fr_female$Type: Predicted Year: 1945 Ex: 28.893645","Age: 45 ex_fr_female$Type: Predicted Year: 1946 Ex: 30.544129","Age: 45 ex_fr_female$Type: Predicted Year: 1947 Ex: 30.846538","Age: 45 ex_fr_female$Type: Predicted Year: 1948 Ex: 31.384829","Age: 45 ex_fr_female$Type: Predicted Year: 1949 Ex: 30.315752","Age: 45 ex_fr_female$Type: Predicted Year: 1950 Ex: 31.042138","Age: 45 ex_fr_female$Type: Predicted Year: 1951 Ex: 30.560530","Age: 45 ex_fr_female$Type: Predicted Year: 1952 Ex: 31.350255","Age: 45 ex_fr_female$Type: Predicted Year: 1953 Ex: 30.838738","Age: 45 ex_fr_female$Type: Predicted Year: 1954 Ex: 31.691730","Age: 45 ex_fr_female$Type: Predicted Year: 1955 Ex: 31.740209","Age: 45 ex_fr_female$Type: Predicted Year: 1956 Ex: 31.582703","Age: 45 ex_fr_female$Type: Predicted Year: 1957 Ex: 32.007297","Age: 45 ex_fr_female$Type: Predicted Year: 1958 Ex: 32.653900","Age: 45 ex_fr_female$Type: Predicted Year: 1959 Ex: 32.705081","Age: 45 ex_fr_female$Type: Predicted Year: 1960 Ex: 32.675673","Age: 45 ex_fr_female$Type: Predicted Year: 1961 Ex: 33.303545","Age: 45 ex_fr_female$Type: Predicted Year: 1962 Ex: 32.789766","Age: 45 ex_fr_female$Type: Predicted Year: 1963 Ex: 32.720285","Age: 45 ex_fr_female$Type: Predicted Year: 1964 Ex: 33.507057","Age: 45 ex_fr_female$Type: Predicted Year: 1965 Ex: 33.303913","Age: 45 ex_fr_female$Type: Predicted Year: 1966 Ex: 33.712851","Age: 45 ex_fr_female$Type: Predicted Year: 1967 Ex: 33.687090","Age: 45 ex_fr_female$Type: Predicted Year: 1968 Ex: 33.670071","Age: 45 ex_fr_female$Type: Predicted Year: 1969 Ex: 33.461642","Age: 45 ex_fr_female$Type: Predicted Year: 1970 Ex: 34.093056","Age: 45 ex_fr_female$Type: Predicted Year: 1971 Ex: 34.113379","Age: 45 ex_fr_female$Type: Predicted Year: 1972 Ex: 34.363445","Age: 45 ex_fr_female$Type: Predicted Year: 1973 Ex: 34.389578","Age: 45 ex_fr_female$Type: Predicted Year: 1974 Ex: 34.670098","Age: 45 ex_fr_female$Type: Predicted Year: 1975 Ex: 34.698257","Age: 45 ex_fr_female$Type: Predicted Year: 1976 Ex: 34.949175","Age: 45 ex_fr_female$Type: Predicted Year: 1977 Ex: 35.520261","Age: 45 ex_fr_female$Type: Predicted Year: 1978 Ex: 35.521281","Age: 45 ex_fr_female$Type: Predicted Year: 1979 Ex: 35.804683","Age: 45 ex_fr_female$Type: Predicted Year: 1980 Ex: 35.934095","Age: 45 ex_fr_female$Type: Predicted Year: 1981 Ex: 35.959671","Age: 45 ex_fr_female$Type: Predicted Year: 1982 Ex: 36.309348","Age: 45 ex_fr_female$Type: Predicted Year: 1983 Ex: 36.206374","Age: 45 ex_fr_female$Type: Predicted Year: 1984 Ex: 36.669099","Age: 45 ex_fr_female$Type: Predicted Year: 1985 Ex: 36.691934","Age: 45 ex_fr_female$Type: Predicted Year: 1986 Ex: 36.922171","Age: 45 ex_fr_female$Type: Predicted Year: 1987 Ex: 37.420904","Age: 45 ex_fr_female$Type: Predicted Year: 1988 Ex: 37.628366","Age: 45 ex_fr_female$Type: Predicted Year: 1989 Ex: 37.791931","Age: 45 ex_fr_female$Type: Predicted Year: 1990 Ex: 38.018362","Age: 45 ex_fr_female$Type: Predicted Year: 1991 Ex: 38.248210","Age: 45 ex_fr_female$Type: Predicted Year: 1992 Ex: 38.479801","Age: 45 ex_fr_female$Type: Predicted Year: 1993 Ex: 38.461987","Age: 45 ex_fr_female$Type: Predicted Year: 1994 Ex: 38.831561","Age: 45 ex_fr_female$Type: Predicted Year: 1995 Ex: 38.817529","Age: 45 ex_fr_female$Type: Predicted Year: 1996 Ex: 38.879292","Age: 45 ex_fr_female$Type: Predicted Year: 1997 Ex: 39.053337","Age: 45 ex_fr_female$Type: Predicted Year: 1998 Ex: 39.145375","Age: 45 ex_fr_female$Type: Predicted Year: 1999 Ex: 39.213234","Age: 45 ex_fr_female$Type: Predicted Year: 2000 Ex: 39.459366","Age: 45 ex_fr_female$Type: Predicted Year: 2001 Ex: 39.610387","Age: 45 ex_fr_female$Type: Predicted Year: 2002 Ex: 39.643193","Age: 45 ex_fr_female$Type: Predicted Year: 2003 Ex: 39.491270","Age: 45 ex_fr_female$Type: Predicted Year: 2004 Ex: 40.367113","Age: 45 ex_fr_female$Type: Predicted Year: 2005 Ex: 40.263263","Age: 45 ex_fr_female$Type: Predicted Year: 2006 Ex: 40.600472","Age: 45 ex_fr_female$Type: Predicted Year: 2007 Ex: 40.749085","Age: 45 ex_fr_female$Type: Predicted Year: 2008 Ex: 40.720987","Age: 45 ex_fr_female$Type: Predicted Year: 2009 Ex: 40.817120","Age: 45 ex_fr_female$Type: Predicted Year: 2010 Ex: 40.989402","Age: 45 ex_fr_female$Type: Predicted Year: 2011 Ex: 41.298095","Age: 45 ex_fr_female$Type: Predicted Year: 2012 Ex: 41.125628","Age: 45 ex_fr_female$Type: Predicted Year: 2013 Ex: 41.322287","Age: 45 ex_fr_female$Type: Predicted Year: 2014 Ex: 41.686999","Age: 45 ex_fr_female$Type: Predicted Year: 2015 Ex: 41.396771","Age: 45 ex_fr_female$Type: Predicted Year: 2016 Ex: 41.566381","Age: 45 ex_fr_female$Type: Predicted Year: 2017 Ex: 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23.220000","Age: 46 ex_fr_female$Type: Observed Year: 1832 Ex: 20.660000","Age: 46 ex_fr_female$Type: Observed Year: 1833 Ex: 23.060000","Age: 46 ex_fr_female$Type: Observed Year: 1834 Ex: 22.430000","Age: 46 ex_fr_female$Type: Observed Year: 1835 Ex: 23.090000","Age: 46 ex_fr_female$Type: Observed Year: 1836 Ex: 23.720000","Age: 46 ex_fr_female$Type: Observed Year: 1837 Ex: 21.860000","Age: 46 ex_fr_female$Type: Observed Year: 1838 Ex: 23.060000","Age: 46 ex_fr_female$Type: Observed Year: 1839 Ex: 23.670000","Age: 46 ex_fr_female$Type: Observed Year: 1840 Ex: 23.060000","Age: 46 ex_fr_female$Type: Observed Year: 1841 Ex: 23.880000","Age: 46 ex_fr_female$Type: Observed Year: 1842 Ex: 23.210000","Age: 46 ex_fr_female$Type: Observed Year: 1843 Ex: 23.660000","Age: 46 ex_fr_female$Type: Observed Year: 1844 Ex: 23.750000","Age: 46 ex_fr_female$Type: Observed Year: 1845 Ex: 24.120000","Age: 46 ex_fr_female$Type: Observed Year: 1846 Ex: 23.680000","Age: 46 ex_fr_female$Type: Observed Year: 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24.450000","Age: 46 ex_fr_female$Type: Observed Year: 1895 Ex: 23.990000","Age: 46 ex_fr_female$Type: Observed Year: 1896 Ex: 24.930000","Age: 46 ex_fr_female$Type: Observed Year: 1897 Ex: 25.300000","Age: 46 ex_fr_female$Type: Observed Year: 1898 Ex: 24.570000","Age: 46 ex_fr_female$Type: Observed Year: 1899 Ex: 24.580000","Age: 46 ex_fr_female$Type: Observed Year: 1900 Ex: 23.770000","Age: 46 ex_fr_female$Type: Observed Year: 1901 Ex: 24.680000","Age: 46 ex_fr_female$Type: Observed Year: 1902 Ex: 24.990000","Age: 46 ex_fr_female$Type: Observed Year: 1903 Ex: 25.070000","Age: 46 ex_fr_female$Type: Observed Year: 1904 Ex: 25.040000","Age: 46 ex_fr_female$Type: Observed Year: 1905 Ex: 24.720000","Age: 46 ex_fr_female$Type: Observed Year: 1906 Ex: 24.770000","Age: 46 ex_fr_female$Type: Observed Year: 1907 Ex: 24.330000","Age: 46 ex_fr_female$Type: Observed Year: 1908 Ex: 25.010000","Age: 46 ex_fr_female$Type: Observed Year: 1909 Ex: 24.580000","Age: 46 ex_fr_female$Type: Observed Year: 1910 Ex: 25.480000","Age: 46 ex_fr_female$Type: Observed Year: 1911 Ex: 24.900000","Age: 46 ex_fr_female$Type: Observed Year: 1912 Ex: 25.620000","Age: 46 ex_fr_female$Type: Observed Year: 1913 Ex: 25.650000","Age: 46 ex_fr_female$Type: Observed Year: 1914 Ex: 24.980000","Age: 46 ex_fr_female$Type: Observed Year: 1915 Ex: 25.030000","Age: 46 ex_fr_female$Type: Observed Year: 1916 Ex: 25.340000","Age: 46 ex_fr_female$Type: Observed Year: 1917 Ex: 25.230000","Age: 46 ex_fr_female$Type: Observed Year: 1918 Ex: 24.320000","Age: 46 ex_fr_female$Type: Observed Year: 1919 Ex: 25.260000","Age: 46 ex_fr_female$Type: Observed Year: 1920 Ex: 26.280000","Age: 46 ex_fr_female$Type: Observed Year: 1921 Ex: 26.170000","Age: 46 ex_fr_female$Type: Observed Year: 1922 Ex: 25.740000","Age: 46 ex_fr_female$Type: Observed Year: 1923 Ex: 26.450000","Age: 46 ex_fr_female$Type: Observed Year: 1924 Ex: 26.130000","Age: 46 ex_fr_female$Type: Observed Year: 1925 Ex: 26.030000","Age: 46 ex_fr_female$Type: Observed Year: 1926 Ex: 26.120000","Age: 46 ex_fr_female$Type: Observed Year: 1927 Ex: 26.490000","Age: 46 ex_fr_female$Type: Observed Year: 1928 Ex: 26.700000","Age: 46 ex_fr_female$Type: Observed Year: 1929 Ex: 25.750000","Age: 46 ex_fr_female$Type: Observed Year: 1930 Ex: 27.080000","Age: 46 ex_fr_female$Type: Observed Year: 1931 Ex: 26.540000","Age: 46 ex_fr_female$Type: Observed Year: 1932 Ex: 26.850000","Age: 46 ex_fr_female$Type: Observed Year: 1933 Ex: 26.800000","Age: 46 ex_fr_female$Type: Observed Year: 1934 Ex: 27.370000","Age: 46 ex_fr_female$Type: Observed Year: 1935 Ex: 26.880000","Age: 46 ex_fr_female$Type: Observed Year: 1936 Ex: 27.220000","Age: 46 ex_fr_female$Type: Observed Year: 1937 Ex: 27.540000","Age: 46 ex_fr_female$Type: Observed Year: 1938 Ex: 27.290000","Age: 46 ex_fr_female$Type: Observed Year: 1939 Ex: 27.290000","Age: 46 ex_fr_female$Type: Observed Year: 1940 Ex: 25.830000","Age: 46 ex_fr_female$Type: Observed Year: 1941 Ex: 26.930000","Age: 46 ex_fr_female$Type: Observed Year: 1942 Ex: 27.260000","Age: 46 ex_fr_female$Type: Observed Year: 1943 Ex: 27.490000","Age: 46 ex_fr_female$Type: Observed Year: 1944 Ex: 26.170000","Age: 46 ex_fr_female$Type: Observed Year: 1945 Ex: 27.800000","Age: 46 ex_fr_female$Type: Observed Year: 1946 Ex: 29.410000","Age: 46 ex_fr_female$Type: Observed Year: 1947 Ex: 29.720000","Age: 46 ex_fr_female$Type: Observed Year: 1948 Ex: 30.260000","Age: 46 ex_fr_female$Type: Observed Year: 1949 Ex: 29.180000","Age: 46 ex_fr_female$Type: Observed Year: 1950 Ex: 29.900000","Age: 46 ex_fr_female$Type: Observed Year: 1951 Ex: 29.430000","Age: 46 ex_fr_female$Type: Observed Year: 1952 Ex: 30.210000","Age: 46 ex_fr_female$Type: Observed Year: 1953 Ex: 29.690000","Age: 46 ex_fr_female$Type: Observed Year: 1954 Ex: 30.540000","Age: 46 ex_fr_female$Type: Observed Year: 1955 Ex: 30.590000","Age: 46 ex_fr_female$Type: Observed Year: 1956 Ex: 30.430000","Age: 46 ex_fr_female$Type: Observed Year: 1957 Ex: 30.860000","Age: 46 ex_fr_female$Type: Observed Year: 1958 Ex: 31.490000","Age: 46 ex_fr_female$Type: Observed Year: 1959 Ex: 31.540000","Age: 46 ex_fr_female$Type: Observed Year: 1960 Ex: 31.510000","Age: 46 ex_fr_female$Type: Observed Year: 1961 Ex: 32.140000","Age: 46 ex_fr_female$Type: Observed Year: 1962 Ex: 31.620000","Age: 46 ex_fr_female$Type: Observed Year: 1963 Ex: 31.550000","Age: 46 ex_fr_female$Type: Observed Year: 1964 Ex: 32.340000","Age: 46 ex_fr_female$Type: Observed Year: 1965 Ex: 32.140000","Age: 46 ex_fr_female$Type: Observed Year: 1966 Ex: 32.550000","Age: 46 ex_fr_female$Type: Observed Year: 1967 Ex: 32.520000","Age: 46 ex_fr_female$Type: Observed Year: 1968 Ex: 32.510000","Age: 46 ex_fr_female$Type: Observed Year: 1969 Ex: 32.290000","Age: 46 ex_fr_female$Type: Observed Year: 1970 Ex: 32.920000","Age: 46 ex_fr_female$Type: Observed Year: 1971 Ex: 32.940000","Age: 46 ex_fr_female$Type: Observed Year: 1972 Ex: 33.200000","Age: 46 ex_fr_female$Type: Observed Year: 1973 Ex: 33.220000","Age: 46 ex_fr_female$Type: Observed Year: 1974 Ex: 33.500000","Age: 46 ex_fr_female$Type: Observed Year: 1975 Ex: 33.530000","Age: 46 ex_fr_female$Type: Observed Year: 1976 Ex: 33.770000","Age: 46 ex_fr_female$Type: Observed Year: 1977 Ex: 34.340000","Age: 46 ex_fr_female$Type: Observed Year: 1978 Ex: 34.340000","Age: 46 ex_fr_female$Type: Observed Year: 1979 Ex: 34.620000","Age: 46 ex_fr_female$Type: Observed Year: 1980 Ex: 34.750000","Age: 46 ex_fr_female$Type: Observed Year: 1981 Ex: 34.780000","Age: 46 ex_fr_female$Type: Observed Year: 1982 Ex: 35.120000","Age: 46 ex_fr_female$Type: Observed Year: 1983 Ex: 35.020000","Age: 46 ex_fr_female$Type: Observed Year: 1984 Ex: 35.490000","Age: 46 ex_fr_female$Type: Observed Year: 1985 Ex: 35.500000","Age: 46 ex_fr_female$Type: Observed Year: 1986 Ex: 35.730000","Age: 46 ex_fr_female$Type: Observed Year: 1987 Ex: 36.230000","Age: 46 ex_fr_female$Type: Observed Year: 1988 Ex: 36.440000","Age: 46 ex_fr_female$Type: Observed Year: 1989 Ex: 36.610000","Age: 46 ex_fr_female$Type: Observed Year: 1990 Ex: 36.830000","Age: 46 ex_fr_female$Type: Observed Year: 1991 Ex: 37.060000","Age: 46 ex_fr_female$Type: Observed Year: 1992 Ex: 37.290000","Age: 46 ex_fr_female$Type: Observed Year: 1993 Ex: 37.270000","Age: 46 ex_fr_female$Type: Observed Year: 1994 Ex: 37.640000","Age: 46 ex_fr_female$Type: Observed Year: 1995 Ex: 37.630000","Age: 46 ex_fr_female$Type: Observed Year: 1996 Ex: 37.690000","Age: 46 ex_fr_female$Type: Observed Year: 1997 Ex: 37.870000","Age: 46 ex_fr_female$Type: Observed Year: 1998 Ex: 37.960000","Age: 46 ex_fr_female$Type: Observed Year: 1999 Ex: 38.030000","Age: 46 ex_fr_female$Type: Observed Year: 2000 Ex: 38.270000","Age: 46 ex_fr_female$Type: Observed Year: 2001 Ex: 38.430000","Age: 46 ex_fr_female$Type: Observed Year: 2002 Ex: 38.460000","Age: 46 ex_fr_female$Type: Observed Year: 2003 Ex: 38.300000","Age: 46 ex_fr_female$Type: Observed Year: 2004 Ex: 39.180000","Age: 46 ex_fr_female$Type: Observed Year: 2005 Ex: 39.070000","Age: 46 ex_fr_female$Type: Observed Year: 2006 Ex: 39.400000","Age: 46 ex_fr_female$Type: Observed Year: 2007 Ex: 39.560000","Age: 46 ex_fr_female$Type: Observed Year: 2008 Ex: 39.530000","Age: 46 ex_fr_female$Type: Observed Year: 2009 Ex: 39.630000","Age: 46 ex_fr_female$Type: Observed Year: 2010 Ex: 39.790000","Age: 46 ex_fr_female$Type: Observed Year: 2011 Ex: 40.100000","Age: 46 ex_fr_female$Type: Observed Year: 2012 Ex: 39.930000","Age: 46 ex_fr_female$Type: Observed Year: 2013 Ex: 40.120000","Age: 46 ex_fr_female$Type: Observed Year: 2014 Ex: 40.490000","Age: 46 ex_fr_female$Type: Observed Year: 2015 Ex: 40.190000","Age: 46 ex_fr_female$Type: Observed Year: 2016 Ex: 40.370000","Age: 46 ex_fr_female$Type: Observed Year: 2017 Ex: 40.320000"],"frame":"46","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[22.8704127302467,22.8207976587788,22.8653900409231,23.0413855855077,22.6716831640799,23.7663154496421,23.7988667662634,23.92513607827,24.0848637535047,23.5846046791373,23.0877840778172,23.3667657946081,23.1211739043813,23.0386338825498,23.0796481881319,23.501689724356,20.9535683547199,23.3502366476138,22.7118437634672,23.3698463980825,24.0024069860044,22.1425459479798,23.3464445039707,23.9520574607376,23.3376264385614,24.1582483881849,23.4961167443871,23.9413256436695,24.0342862599136,24.3975354089653,23.9548523966698,22.8474008223443,23.2241960865602,21.8114191658029,24.0630689457065,23.9185068820451,23.8998558472226,23.7224102662408,21.4640155127119,22.6298884148766,23.9586580656311,23.4148633249928,22.8826433004536,23.0227260868561,24.1584500939388,24.0691792683456,24.2800317222172,24.0710742148385,23.7750395879846,23.5246664468753,23.6264840165868,23.9219279640637,23.7162086655344,23.8608106433655,22.4401236000878,21.2096706609258,24.7806890811498,24.1757213421052,24.6023207984656,23.860754338583,24.3613612310694,24.7383893202647,24.2695140692915,24.0179372151178,24.2811440065575,24.6972874639079,24.5995480590812,24.5572640204429,24.6582384676969,24.6789022968001,24.5574230690366,24.4822122811234,24.7203175332347,25.1030084689069,24.1381511567753,23.8789987219352,24.0640394927042,24.1845599009319,24.7212865646782,24.2611811645296,25.205556331418,25.5720714102983,24.8426202250062,24.8502093621409,24.0409028952269,24.9466285589795,25.2556303276258,25.3410762206786,25.3139221639117,24.9889075366485,25.0388541396855,24.5987599436097,25.2799920640462,24.8490149944829,25.7461020598015,25.1712624616475,25.8873683443459,25.9227429322214,25.2523197759412,25.2978679881446,25.6055926017611,25.4920152334392,24.5854344857971,25.5240065888118,26.548837689949,26.4311573284257,26.0105673692058,26.7134706203859,26.4012432416946,26.2926570810211,26.3822740277741,26.7560628104141,26.9667370881005,26.0151400564835,27.3464509630283,26.8011780902608,27.1158982964829,27.0595557272001,27.6347225231009,27.1426616730209,27.4822602680266,27.8078963570136,27.5549305151598,27.557294317585,26.0908019409737,27.1929792199186,27.5207789782713,27.7488211572832,26.4308741638029,28.0665191562838,29.6708811529116,29.9818812494507,30.5207117059598,29.4391454644551,30.1676180673452,29.6879558582392,30.4717350457937,29.9548537574323,30.8061006865196,30.8528761212908,30.695426406275,31.1161847775754,31.7482493369584,31.8031336921652,31.7746037125412,32.4001289660424,31.8851619842317,31.8119207240014,32.6019230812671,32.4044468612985,32.8083090889521,32.7811425384154,32.7684001641175,32.5560469818711,33.1815221244306,33.2035838171098,33.4600939801286,33.4784848411429,33.7607691559838,33.7893454575692,34.0322973471683,34.6033579034567,34.6043797541585,34.88314611554,35.011425126619,35.0374123657316,35.3817558081528,35.2807207089316,35.7476712695111,35.7633024451943,35.9928984472612,36.488160829696,36.7030690163286,36.8650948836445,37.0867072695155,37.318108365254,37.5493678945795,37.5303802634231,37.8952439634866,37.8842598414161,37.9472836720637,38.1239541460867,38.2134503485598,38.2829808758122,38.52682404459,38.6832001134536,38.7144988285669,38.5591735740513,39.4333469863619,39.3281296847815,39.6610693639813,39.8111167555449,39.7861982629293,39.8804673039227,40.0457213465943,40.3564775453254,40.180102608835,40.3729375842376,40.740989409129,40.4483338299478,40.6198017480457,40.5704964786082],"text":["Age: 46 ex_fr_female$Type: Predicted Year: 1816 Ex: 22.870413","Age: 46 ex_fr_female$Type: Predicted Year: 1817 Ex: 22.820798","Age: 46 ex_fr_female$Type: Predicted Year: 1818 Ex: 22.865390","Age: 46 ex_fr_female$Type: Predicted Year: 1819 Ex: 23.041386","Age: 46 ex_fr_female$Type: Predicted Year: 1820 Ex: 22.671683","Age: 46 ex_fr_female$Type: Predicted Year: 1821 Ex: 23.766315","Age: 46 ex_fr_female$Type: Predicted Year: 1822 Ex: 23.798867","Age: 46 ex_fr_female$Type: Predicted Year: 1823 Ex: 23.925136","Age: 46 ex_fr_female$Type: Predicted Year: 1824 Ex: 24.084864","Age: 46 ex_fr_female$Type: Predicted Year: 1825 Ex: 23.584605","Age: 46 ex_fr_female$Type: Predicted Year: 1826 Ex: 23.087784","Age: 46 ex_fr_female$Type: Predicted Year: 1827 Ex: 23.366766","Age: 46 ex_fr_female$Type: Predicted Year: 1828 Ex: 23.121174","Age: 46 ex_fr_female$Type: Predicted Year: 1829 Ex: 23.038634","Age: 46 ex_fr_female$Type: Predicted Year: 1830 Ex: 23.079648","Age: 46 ex_fr_female$Type: Predicted Year: 1831 Ex: 23.501690","Age: 46 ex_fr_female$Type: Predicted Year: 1832 Ex: 20.953568","Age: 46 ex_fr_female$Type: Predicted Year: 1833 Ex: 23.350237","Age: 46 ex_fr_female$Type: Predicted Year: 1834 Ex: 22.711844","Age: 46 ex_fr_female$Type: Predicted Year: 1835 Ex: 23.369846","Age: 46 ex_fr_female$Type: Predicted Year: 1836 Ex: 24.002407","Age: 46 ex_fr_female$Type: Predicted Year: 1837 Ex: 22.142546","Age: 46 ex_fr_female$Type: Predicted Year: 1838 Ex: 23.346445","Age: 46 ex_fr_female$Type: Predicted Year: 1839 Ex: 23.952057","Age: 46 ex_fr_female$Type: Predicted Year: 1840 Ex: 23.337626","Age: 46 ex_fr_female$Type: Predicted Year: 1841 Ex: 24.158248","Age: 46 ex_fr_female$Type: Predicted Year: 1842 Ex: 23.496117","Age: 46 ex_fr_female$Type: Predicted Year: 1843 Ex: 23.941326","Age: 46 ex_fr_female$Type: Predicted Year: 1844 Ex: 24.034286","Age: 46 ex_fr_female$Type: Predicted Year: 1845 Ex: 24.397535","Age: 46 ex_fr_female$Type: Predicted Year: 1846 Ex: 23.954852","Age: 46 ex_fr_female$Type: Predicted Year: 1847 Ex: 22.847401","Age: 46 ex_fr_female$Type: Predicted Year: 1848 Ex: 23.224196","Age: 46 ex_fr_female$Type: Predicted Year: 1849 Ex: 21.811419","Age: 46 ex_fr_female$Type: Predicted Year: 1850 Ex: 24.063069","Age: 46 ex_fr_female$Type: Predicted Year: 1851 Ex: 23.918507","Age: 46 ex_fr_female$Type: Predicted Year: 1852 Ex: 23.899856","Age: 46 ex_fr_female$Type: Predicted Year: 1853 Ex: 23.722410","Age: 46 ex_fr_female$Type: Predicted Year: 1854 Ex: 21.464016","Age: 46 ex_fr_female$Type: Predicted Year: 1855 Ex: 22.629888","Age: 46 ex_fr_female$Type: Predicted Year: 1856 Ex: 23.958658","Age: 46 ex_fr_female$Type: Predicted Year: 1857 Ex: 23.414863","Age: 46 ex_fr_female$Type: Predicted Year: 1858 Ex: 22.882643","Age: 46 ex_fr_female$Type: Predicted Year: 1859 Ex: 23.022726","Age: 46 ex_fr_female$Type: Predicted Year: 1860 Ex: 24.158450","Age: 46 ex_fr_female$Type: Predicted Year: 1861 Ex: 24.069179","Age: 46 ex_fr_female$Type: Predicted Year: 1862 Ex: 24.280032","Age: 46 ex_fr_female$Type: Predicted Year: 1863 Ex: 24.071074","Age: 46 ex_fr_female$Type: Predicted Year: 1864 Ex: 23.775040","Age: 46 ex_fr_female$Type: Predicted Year: 1865 Ex: 23.524666","Age: 46 ex_fr_female$Type: Predicted Year: 1866 Ex: 23.626484","Age: 46 ex_fr_female$Type: Predicted Year: 1867 Ex: 23.921928","Age: 46 ex_fr_female$Type: Predicted Year: 1868 Ex: 23.716209","Age: 46 ex_fr_female$Type: Predicted Year: 1869 Ex: 23.860811","Age: 46 ex_fr_female$Type: Predicted Year: 1870 Ex: 22.440124","Age: 46 ex_fr_female$Type: Predicted Year: 1871 Ex: 21.209671","Age: 46 ex_fr_female$Type: Predicted Year: 1872 Ex: 24.780689","Age: 46 ex_fr_female$Type: Predicted Year: 1873 Ex: 24.175721","Age: 46 ex_fr_female$Type: Predicted Year: 1874 Ex: 24.602321","Age: 46 ex_fr_female$Type: Predicted Year: 1875 Ex: 23.860754","Age: 46 ex_fr_female$Type: Predicted Year: 1876 Ex: 24.361361","Age: 46 ex_fr_female$Type: Predicted Year: 1877 Ex: 24.738389","Age: 46 ex_fr_female$Type: Predicted Year: 1878 Ex: 24.269514","Age: 46 ex_fr_female$Type: Predicted Year: 1879 Ex: 24.017937","Age: 46 ex_fr_female$Type: Predicted Year: 1880 Ex: 24.281144","Age: 46 ex_fr_female$Type: Predicted Year: 1881 Ex: 24.697287","Age: 46 ex_fr_female$Type: Predicted Year: 1882 Ex: 24.599548","Age: 46 ex_fr_female$Type: Predicted Year: 1883 Ex: 24.557264","Age: 46 ex_fr_female$Type: Predicted Year: 1884 Ex: 24.658238","Age: 46 ex_fr_female$Type: Predicted Year: 1885 Ex: 24.678902","Age: 46 ex_fr_female$Type: Predicted Year: 1886 Ex: 24.557423","Age: 46 ex_fr_female$Type: Predicted Year: 1887 Ex: 24.482212","Age: 46 ex_fr_female$Type: Predicted Year: 1888 Ex: 24.720318","Age: 46 ex_fr_female$Type: Predicted Year: 1889 Ex: 25.103008","Age: 46 ex_fr_female$Type: Predicted Year: 1890 Ex: 24.138151","Age: 46 ex_fr_female$Type: Predicted Year: 1891 Ex: 23.878999","Age: 46 ex_fr_female$Type: Predicted Year: 1892 Ex: 24.064039","Age: 46 ex_fr_female$Type: Predicted Year: 1893 Ex: 24.184560","Age: 46 ex_fr_female$Type: Predicted Year: 1894 Ex: 24.721287","Age: 46 ex_fr_female$Type: Predicted Year: 1895 Ex: 24.261181","Age: 46 ex_fr_female$Type: Predicted Year: 1896 Ex: 25.205556","Age: 46 ex_fr_female$Type: Predicted Year: 1897 Ex: 25.572071","Age: 46 ex_fr_female$Type: Predicted Year: 1898 Ex: 24.842620","Age: 46 ex_fr_female$Type: Predicted Year: 1899 Ex: 24.850209","Age: 46 ex_fr_female$Type: Predicted Year: 1900 Ex: 24.040903","Age: 46 ex_fr_female$Type: Predicted Year: 1901 Ex: 24.946629","Age: 46 ex_fr_female$Type: Predicted Year: 1902 Ex: 25.255630","Age: 46 ex_fr_female$Type: Predicted Year: 1903 Ex: 25.341076","Age: 46 ex_fr_female$Type: Predicted Year: 1904 Ex: 25.313922","Age: 46 ex_fr_female$Type: Predicted Year: 1905 Ex: 24.988908","Age: 46 ex_fr_female$Type: Predicted Year: 1906 Ex: 25.038854","Age: 46 ex_fr_female$Type: Predicted Year: 1907 Ex: 24.598760","Age: 46 ex_fr_female$Type: Predicted Year: 1908 Ex: 25.279992","Age: 46 ex_fr_female$Type: Predicted Year: 1909 Ex: 24.849015","Age: 46 ex_fr_female$Type: Predicted Year: 1910 Ex: 25.746102","Age: 46 ex_fr_female$Type: Predicted Year: 1911 Ex: 25.171262","Age: 46 ex_fr_female$Type: Predicted Year: 1912 Ex: 25.887368","Age: 46 ex_fr_female$Type: Predicted Year: 1913 Ex: 25.922743","Age: 46 ex_fr_female$Type: Predicted Year: 1914 Ex: 25.252320","Age: 46 ex_fr_female$Type: Predicted Year: 1915 Ex: 25.297868","Age: 46 ex_fr_female$Type: Predicted Year: 1916 Ex: 25.605593","Age: 46 ex_fr_female$Type: Predicted Year: 1917 Ex: 25.492015","Age: 46 ex_fr_female$Type: Predicted Year: 1918 Ex: 24.585434","Age: 46 ex_fr_female$Type: Predicted Year: 1919 Ex: 25.524007","Age: 46 ex_fr_female$Type: Predicted Year: 1920 Ex: 26.548838","Age: 46 ex_fr_female$Type: Predicted Year: 1921 Ex: 26.431157","Age: 46 ex_fr_female$Type: Predicted Year: 1922 Ex: 26.010567","Age: 46 ex_fr_female$Type: Predicted Year: 1923 Ex: 26.713471","Age: 46 ex_fr_female$Type: Predicted Year: 1924 Ex: 26.401243","Age: 46 ex_fr_female$Type: Predicted Year: 1925 Ex: 26.292657","Age: 46 ex_fr_female$Type: Predicted Year: 1926 Ex: 26.382274","Age: 46 ex_fr_female$Type: Predicted Year: 1927 Ex: 26.756063","Age: 46 ex_fr_female$Type: Predicted Year: 1928 Ex: 26.966737","Age: 46 ex_fr_female$Type: Predicted Year: 1929 Ex: 26.015140","Age: 46 ex_fr_female$Type: Predicted Year: 1930 Ex: 27.346451","Age: 46 ex_fr_female$Type: Predicted Year: 1931 Ex: 26.801178","Age: 46 ex_fr_female$Type: Predicted Year: 1932 Ex: 27.115898","Age: 46 ex_fr_female$Type: Predicted Year: 1933 Ex: 27.059556","Age: 46 ex_fr_female$Type: Predicted Year: 1934 Ex: 27.634723","Age: 46 ex_fr_female$Type: Predicted Year: 1935 Ex: 27.142662","Age: 46 ex_fr_female$Type: Predicted Year: 1936 Ex: 27.482260","Age: 46 ex_fr_female$Type: Predicted Year: 1937 Ex: 27.807896","Age: 46 ex_fr_female$Type: Predicted Year: 1938 Ex: 27.554931","Age: 46 ex_fr_female$Type: Predicted Year: 1939 Ex: 27.557294","Age: 46 ex_fr_female$Type: Predicted Year: 1940 Ex: 26.090802","Age: 46 ex_fr_female$Type: Predicted Year: 1941 Ex: 27.192979","Age: 46 ex_fr_female$Type: Predicted Year: 1942 Ex: 27.520779","Age: 46 ex_fr_female$Type: Predicted Year: 1943 Ex: 27.748821","Age: 46 ex_fr_female$Type: Predicted Year: 1944 Ex: 26.430874","Age: 46 ex_fr_female$Type: Predicted Year: 1945 Ex: 28.066519","Age: 46 ex_fr_female$Type: Predicted Year: 1946 Ex: 29.670881","Age: 46 ex_fr_female$Type: Predicted Year: 1947 Ex: 29.981881","Age: 46 ex_fr_female$Type: Predicted Year: 1948 Ex: 30.520712","Age: 46 ex_fr_female$Type: Predicted Year: 1949 Ex: 29.439145","Age: 46 ex_fr_female$Type: Predicted Year: 1950 Ex: 30.167618","Age: 46 ex_fr_female$Type: Predicted Year: 1951 Ex: 29.687956","Age: 46 ex_fr_female$Type: Predicted Year: 1952 Ex: 30.471735","Age: 46 ex_fr_female$Type: Predicted Year: 1953 Ex: 29.954854","Age: 46 ex_fr_female$Type: Predicted Year: 1954 Ex: 30.806101","Age: 46 ex_fr_female$Type: Predicted Year: 1955 Ex: 30.852876","Age: 46 ex_fr_female$Type: Predicted Year: 1956 Ex: 30.695426","Age: 46 ex_fr_female$Type: Predicted Year: 1957 Ex: 31.116185","Age: 46 ex_fr_female$Type: Predicted Year: 1958 Ex: 31.748249","Age: 46 ex_fr_female$Type: Predicted Year: 1959 Ex: 31.803134","Age: 46 ex_fr_female$Type: Predicted Year: 1960 Ex: 31.774604","Age: 46 ex_fr_female$Type: Predicted Year: 1961 Ex: 32.400129","Age: 46 ex_fr_female$Type: Predicted Year: 1962 Ex: 31.885162","Age: 46 ex_fr_female$Type: Predicted Year: 1963 Ex: 31.811921","Age: 46 ex_fr_female$Type: Predicted Year: 1964 Ex: 32.601923","Age: 46 ex_fr_female$Type: Predicted Year: 1965 Ex: 32.404447","Age: 46 ex_fr_female$Type: Predicted Year: 1966 Ex: 32.808309","Age: 46 ex_fr_female$Type: Predicted Year: 1967 Ex: 32.781143","Age: 46 ex_fr_female$Type: Predicted Year: 1968 Ex: 32.768400","Age: 46 ex_fr_female$Type: Predicted Year: 1969 Ex: 32.556047","Age: 46 ex_fr_female$Type: Predicted Year: 1970 Ex: 33.181522","Age: 46 ex_fr_female$Type: Predicted Year: 1971 Ex: 33.203584","Age: 46 ex_fr_female$Type: Predicted Year: 1972 Ex: 33.460094","Age: 46 ex_fr_female$Type: Predicted Year: 1973 Ex: 33.478485","Age: 46 ex_fr_female$Type: Predicted Year: 1974 Ex: 33.760769","Age: 46 ex_fr_female$Type: Predicted Year: 1975 Ex: 33.789345","Age: 46 ex_fr_female$Type: Predicted Year: 1976 Ex: 34.032297","Age: 46 ex_fr_female$Type: Predicted Year: 1977 Ex: 34.603358","Age: 46 ex_fr_female$Type: Predicted Year: 1978 Ex: 34.604380","Age: 46 ex_fr_female$Type: Predicted Year: 1979 Ex: 34.883146","Age: 46 ex_fr_female$Type: Predicted Year: 1980 Ex: 35.011425","Age: 46 ex_fr_female$Type: Predicted Year: 1981 Ex: 35.037412","Age: 46 ex_fr_female$Type: Predicted Year: 1982 Ex: 35.381756","Age: 46 ex_fr_female$Type: Predicted Year: 1983 Ex: 35.280721","Age: 46 ex_fr_female$Type: Predicted Year: 1984 Ex: 35.747671","Age: 46 ex_fr_female$Type: Predicted Year: 1985 Ex: 35.763302","Age: 46 ex_fr_female$Type: Predicted Year: 1986 Ex: 35.992898","Age: 46 ex_fr_female$Type: Predicted Year: 1987 Ex: 36.488161","Age: 46 ex_fr_female$Type: Predicted Year: 1988 Ex: 36.703069","Age: 46 ex_fr_female$Type: Predicted Year: 1989 Ex: 36.865095","Age: 46 ex_fr_female$Type: Predicted Year: 1990 Ex: 37.086707","Age: 46 ex_fr_female$Type: Predicted Year: 1991 Ex: 37.318108","Age: 46 ex_fr_female$Type: Predicted Year: 1992 Ex: 37.549368","Age: 46 ex_fr_female$Type: Predicted Year: 1993 Ex: 37.530380","Age: 46 ex_fr_female$Type: Predicted Year: 1994 Ex: 37.895244","Age: 46 ex_fr_female$Type: Predicted Year: 1995 Ex: 37.884260","Age: 46 ex_fr_female$Type: Predicted Year: 1996 Ex: 37.947284","Age: 46 ex_fr_female$Type: Predicted Year: 1997 Ex: 38.123954","Age: 46 ex_fr_female$Type: Predicted Year: 1998 Ex: 38.213450","Age: 46 ex_fr_female$Type: Predicted Year: 1999 Ex: 38.282981","Age: 46 ex_fr_female$Type: Predicted Year: 2000 Ex: 38.526824","Age: 46 ex_fr_female$Type: Predicted Year: 2001 Ex: 38.683200","Age: 46 ex_fr_female$Type: Predicted Year: 2002 Ex: 38.714499","Age: 46 ex_fr_female$Type: Predicted Year: 2003 Ex: 38.559174","Age: 46 ex_fr_female$Type: Predicted Year: 2004 Ex: 39.433347","Age: 46 ex_fr_female$Type: Predicted Year: 2005 Ex: 39.328130","Age: 46 ex_fr_female$Type: Predicted Year: 2006 Ex: 39.661069","Age: 46 ex_fr_female$Type: Predicted Year: 2007 Ex: 39.811117","Age: 46 ex_fr_female$Type: Predicted Year: 2008 Ex: 39.786198","Age: 46 ex_fr_female$Type: Predicted Year: 2009 Ex: 39.880467","Age: 46 ex_fr_female$Type: Predicted Year: 2010 Ex: 40.045721","Age: 46 ex_fr_female$Type: Predicted Year: 2011 Ex: 40.356478","Age: 46 ex_fr_female$Type: Predicted Year: 2012 Ex: 40.180103","Age: 46 ex_fr_female$Type: Predicted Year: 2013 Ex: 40.372938","Age: 46 ex_fr_female$Type: Predicted Year: 2014 Ex: 40.740989","Age: 46 ex_fr_female$Type: Predicted Year: 2015 Ex: 40.448334","Age: 46 ex_fr_female$Type: Predicted Year: 2016 Ex: 40.619802","Age: 46 ex_fr_female$Type: Predicted Year: 2017 Ex: 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23.730000","Age: 47 ex_fr_female$Type: Observed Year: 1895 Ex: 23.260000","Age: 47 ex_fr_female$Type: Observed Year: 1896 Ex: 24.180000","Age: 47 ex_fr_female$Type: Observed Year: 1897 Ex: 24.560000","Age: 47 ex_fr_female$Type: Observed Year: 1898 Ex: 23.810000","Age: 47 ex_fr_female$Type: Observed Year: 1899 Ex: 23.830000","Age: 47 ex_fr_female$Type: Observed Year: 1900 Ex: 23.040000","Age: 47 ex_fr_female$Type: Observed Year: 1901 Ex: 23.930000","Age: 47 ex_fr_female$Type: Observed Year: 1902 Ex: 24.230000","Age: 47 ex_fr_female$Type: Observed Year: 1903 Ex: 24.310000","Age: 47 ex_fr_female$Type: Observed Year: 1904 Ex: 24.290000","Age: 47 ex_fr_female$Type: Observed Year: 1905 Ex: 23.970000","Age: 47 ex_fr_female$Type: Observed Year: 1906 Ex: 24.020000","Age: 47 ex_fr_female$Type: Observed Year: 1907 Ex: 23.580000","Age: 47 ex_fr_female$Type: Observed Year: 1908 Ex: 24.250000","Age: 47 ex_fr_female$Type: Observed Year: 1909 Ex: 23.820000","Age: 47 ex_fr_female$Type: Observed Year: 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Observed Year: 1926 Ex: 25.340000","Age: 47 ex_fr_female$Type: Observed Year: 1927 Ex: 25.690000","Age: 47 ex_fr_female$Type: Observed Year: 1928 Ex: 25.900000","Age: 47 ex_fr_female$Type: Observed Year: 1929 Ex: 24.960000","Age: 47 ex_fr_female$Type: Observed Year: 1930 Ex: 26.300000","Age: 47 ex_fr_female$Type: Observed Year: 1931 Ex: 25.740000","Age: 47 ex_fr_female$Type: Observed Year: 1932 Ex: 26.060000","Age: 47 ex_fr_female$Type: Observed Year: 1933 Ex: 26.010000","Age: 47 ex_fr_female$Type: Observed Year: 1934 Ex: 26.560000","Age: 47 ex_fr_female$Type: Observed Year: 1935 Ex: 26.080000","Age: 47 ex_fr_female$Type: Observed Year: 1936 Ex: 26.410000","Age: 47 ex_fr_female$Type: Observed Year: 1937 Ex: 26.730000","Age: 47 ex_fr_female$Type: Observed Year: 1938 Ex: 26.500000","Age: 47 ex_fr_female$Type: Observed Year: 1939 Ex: 26.480000","Age: 47 ex_fr_female$Type: Observed Year: 1940 Ex: 25.020000","Age: 47 ex_fr_female$Type: Observed Year: 1941 Ex: 26.130000","Age: 47 ex_fr_female$Type: Observed Year: 1942 Ex: 26.440000","Age: 47 ex_fr_female$Type: Observed Year: 1943 Ex: 26.670000","Age: 47 ex_fr_female$Type: Observed Year: 1944 Ex: 25.420000","Age: 47 ex_fr_female$Type: Observed Year: 1945 Ex: 26.970000","Age: 47 ex_fr_female$Type: Observed Year: 1946 Ex: 28.540000","Age: 47 ex_fr_female$Type: Observed Year: 1947 Ex: 28.860000","Age: 47 ex_fr_female$Type: Observed Year: 1948 Ex: 29.390000","Age: 47 ex_fr_female$Type: Observed Year: 1949 Ex: 28.310000","Age: 47 ex_fr_female$Type: Observed Year: 1950 Ex: 29.040000","Age: 47 ex_fr_female$Type: Observed Year: 1951 Ex: 28.560000","Age: 47 ex_fr_female$Type: Observed Year: 1952 Ex: 29.340000","Age: 47 ex_fr_female$Type: Observed Year: 1953 Ex: 28.820000","Age: 47 ex_fr_female$Type: Observed Year: 1954 Ex: 29.670000","Age: 47 ex_fr_female$Type: Observed Year: 1955 Ex: 29.710000","Age: 47 ex_fr_female$Type: Observed Year: 1956 Ex: 29.550000","Age: 47 ex_fr_female$Type: Observed Year: 1957 Ex: 29.970000","Age: 47 ex_fr_female$Type: Observed Year: 1958 Ex: 30.590000","Age: 47 ex_fr_female$Type: Observed Year: 1959 Ex: 30.650000","Age: 47 ex_fr_female$Type: Observed Year: 1960 Ex: 30.620000","Age: 47 ex_fr_female$Type: Observed Year: 1961 Ex: 31.230000","Age: 47 ex_fr_female$Type: Observed Year: 1962 Ex: 30.730000","Age: 47 ex_fr_female$Type: Observed Year: 1963 Ex: 30.670000","Age: 47 ex_fr_female$Type: Observed Year: 1964 Ex: 31.450000","Age: 47 ex_fr_female$Type: Observed Year: 1965 Ex: 31.240000","Age: 47 ex_fr_female$Type: Observed Year: 1966 Ex: 31.650000","Age: 47 ex_fr_female$Type: Observed Year: 1967 Ex: 31.620000","Age: 47 ex_fr_female$Type: Observed Year: 1968 Ex: 31.600000","Age: 47 ex_fr_female$Type: Observed Year: 1969 Ex: 31.390000","Age: 47 ex_fr_female$Type: Observed Year: 1970 Ex: 32.010000","Age: 47 ex_fr_female$Type: Observed Year: 1971 Ex: 32.040000","Age: 47 ex_fr_female$Type: Observed Year: 1972 Ex: 32.300000","Age: 47 ex_fr_female$Type: Observed Year: 1973 Ex: 32.310000","Age: 47 ex_fr_female$Type: Observed Year: 1974 Ex: 32.590000","Age: 47 ex_fr_female$Type: Observed Year: 1975 Ex: 32.620000","Age: 47 ex_fr_female$Type: Observed Year: 1976 Ex: 32.860000","Age: 47 ex_fr_female$Type: Observed Year: 1977 Ex: 33.430000","Age: 47 ex_fr_female$Type: Observed Year: 1978 Ex: 33.430000","Age: 47 ex_fr_female$Type: Observed Year: 1979 Ex: 33.710000","Age: 47 ex_fr_female$Type: Observed Year: 1980 Ex: 33.830000","Age: 47 ex_fr_female$Type: Observed Year: 1981 Ex: 33.860000","Age: 47 ex_fr_female$Type: Observed Year: 1982 Ex: 34.200000","Age: 47 ex_fr_female$Type: Observed Year: 1983 Ex: 34.100000","Age: 47 ex_fr_female$Type: Observed Year: 1984 Ex: 34.560000","Age: 47 ex_fr_female$Type: Observed Year: 1985 Ex: 34.580000","Age: 47 ex_fr_female$Type: Observed Year: 1986 Ex: 34.810000","Age: 47 ex_fr_female$Type: Observed Year: 1987 Ex: 35.310000","Age: 47 ex_fr_female$Type: Observed Year: 1988 Ex: 35.520000","Age: 47 ex_fr_female$Type: Observed Year: 1989 Ex: 35.680000","Age: 47 ex_fr_female$Type: Observed Year: 1990 Ex: 35.900000","Age: 47 ex_fr_female$Type: Observed Year: 1991 Ex: 36.130000","Age: 47 ex_fr_female$Type: Observed Year: 1992 Ex: 36.360000","Age: 47 ex_fr_female$Type: Observed Year: 1993 Ex: 36.350000","Age: 47 ex_fr_female$Type: Observed Year: 1994 Ex: 36.710000","Age: 47 ex_fr_female$Type: Observed Year: 1995 Ex: 36.700000","Age: 47 ex_fr_female$Type: Observed Year: 1996 Ex: 36.760000","Age: 47 ex_fr_female$Type: Observed Year: 1997 Ex: 36.940000","Age: 47 ex_fr_female$Type: Observed Year: 1998 Ex: 37.030000","Age: 47 ex_fr_female$Type: Observed Year: 1999 Ex: 37.100000","Age: 47 ex_fr_female$Type: Observed Year: 2000 Ex: 37.350000","Age: 47 ex_fr_female$Type: Observed Year: 2001 Ex: 37.500000","Age: 47 ex_fr_female$Type: Observed Year: 2002 Ex: 37.530000","Age: 47 ex_fr_female$Type: Observed Year: 2003 Ex: 37.380000","Age: 47 ex_fr_female$Type: Observed Year: 2004 Ex: 38.250000","Age: 47 ex_fr_female$Type: Observed Year: 2005 Ex: 38.150000","Age: 47 ex_fr_female$Type: Observed Year: 2006 Ex: 38.480000","Age: 47 ex_fr_female$Type: Observed Year: 2007 Ex: 38.620000","Age: 47 ex_fr_female$Type: Observed Year: 2008 Ex: 38.590000","Age: 47 ex_fr_female$Type: Observed Year: 2009 Ex: 38.690000","Age: 47 ex_fr_female$Type: Observed Year: 2010 Ex: 38.860000","Age: 47 ex_fr_female$Type: Observed Year: 2011 Ex: 39.160000","Age: 47 ex_fr_female$Type: Observed Year: 2012 Ex: 38.990000","Age: 47 ex_fr_female$Type: Observed Year: 2013 Ex: 39.180000","Age: 47 ex_fr_female$Type: Observed Year: 2014 Ex: 39.540000","Age: 47 ex_fr_female$Type: Observed Year: 2015 Ex: 39.250000","Age: 47 ex_fr_female$Type: Observed Year: 2016 Ex: 39.420000","Age: 47 ex_fr_female$Type: Observed Year: 2017 Ex: 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47 ex_fr_female$Type: Predicted Year: 1816 Ex: 22.194429","Age: 47 ex_fr_female$Type: Predicted Year: 1817 Ex: 22.157233","Age: 47 ex_fr_female$Type: Predicted Year: 1818 Ex: 22.197050","Age: 47 ex_fr_female$Type: Predicted Year: 1819 Ex: 22.366735","Age: 47 ex_fr_female$Type: Predicted Year: 1820 Ex: 21.983825","Age: 47 ex_fr_female$Type: Predicted Year: 1821 Ex: 23.062979","Age: 47 ex_fr_female$Type: Predicted Year: 1822 Ex: 23.103026","Age: 47 ex_fr_female$Type: Predicted Year: 1823 Ex: 23.237114","Age: 47 ex_fr_female$Type: Predicted Year: 1824 Ex: 23.392039","Age: 47 ex_fr_female$Type: Predicted Year: 1825 Ex: 22.902109","Age: 47 ex_fr_female$Type: Predicted Year: 1826 Ex: 22.408304","Age: 47 ex_fr_female$Type: Predicted Year: 1827 Ex: 22.682201","Age: 47 ex_fr_female$Type: Predicted Year: 1828 Ex: 22.427947","Age: 47 ex_fr_female$Type: Predicted Year: 1829 Ex: 22.336065","Age: 47 ex_fr_female$Type: Predicted Year: 1830 Ex: 22.378765","Age: 47 ex_fr_female$Type: Predicted Year: 1831 Ex: 22.797076","Age: 47 ex_fr_female$Type: Predicted Year: 1832 Ex: 20.322994","Age: 47 ex_fr_female$Type: Predicted Year: 1833 Ex: 22.655253","Age: 47 ex_fr_female$Type: Predicted Year: 1834 Ex: 22.038071","Age: 47 ex_fr_female$Type: Predicted Year: 1835 Ex: 22.685788","Age: 47 ex_fr_female$Type: Predicted Year: 1836 Ex: 23.293513","Age: 47 ex_fr_female$Type: Predicted Year: 1837 Ex: 21.461510","Age: 47 ex_fr_female$Type: Predicted Year: 1838 Ex: 22.661136","Age: 47 ex_fr_female$Type: Predicted Year: 1839 Ex: 23.257741","Age: 47 ex_fr_female$Type: Predicted Year: 1840 Ex: 22.641780","Age: 47 ex_fr_female$Type: Predicted Year: 1841 Ex: 23.441227","Age: 47 ex_fr_female$Type: Predicted Year: 1842 Ex: 22.796556","Age: 47 ex_fr_female$Type: Predicted Year: 1843 Ex: 23.245207","Age: 47 ex_fr_female$Type: Predicted Year: 1844 Ex: 23.329123","Age: 47 ex_fr_female$Type: Predicted Year: 1845 Ex: 23.684344","Age: 47 ex_fr_female$Type: Predicted Year: 1846 Ex: 23.262949","Age: 47 ex_fr_female$Type: Predicted Year: 1847 Ex: 22.167456","Age: 47 ex_fr_female$Type: Predicted Year: 1848 Ex: 22.530294","Age: 47 ex_fr_female$Type: Predicted Year: 1849 Ex: 21.170750","Age: 47 ex_fr_female$Type: Predicted Year: 1850 Ex: 23.344432","Age: 47 ex_fr_female$Type: Predicted Year: 1851 Ex: 23.197907","Age: 47 ex_fr_female$Type: Predicted Year: 1852 Ex: 23.174772","Age: 47 ex_fr_female$Type: Predicted Year: 1853 Ex: 22.993362","Age: 47 ex_fr_female$Type: Predicted Year: 1854 Ex: 20.815357","Age: 47 ex_fr_female$Type: Predicted Year: 1855 Ex: 21.944584","Age: 47 ex_fr_female$Type: Predicted Year: 1856 Ex: 23.251598","Age: 47 ex_fr_female$Type: Predicted Year: 1857 Ex: 22.717492","Age: 47 ex_fr_female$Type: Predicted Year: 1858 Ex: 22.181645","Age: 47 ex_fr_female$Type: Predicted Year: 1859 Ex: 22.329078","Age: 47 ex_fr_female$Type: Predicted Year: 1860 Ex: 23.431138","Age: 47 ex_fr_female$Type: Predicted Year: 1861 Ex: 23.349185","Age: 47 ex_fr_female$Type: Predicted Year: 1862 Ex: 23.548108","Age: 47 ex_fr_female$Type: Predicted Year: 1863 Ex: 23.334173","Age: 47 ex_fr_female$Type: Predicted Year: 1864 Ex: 23.043780","Age: 47 ex_fr_female$Type: Predicted Year: 1865 Ex: 22.803562","Age: 47 ex_fr_female$Type: Predicted Year: 1866 Ex: 22.913168","Age: 47 ex_fr_female$Type: Predicted Year: 1867 Ex: 23.186915","Age: 47 ex_fr_female$Type: Predicted Year: 1868 Ex: 22.997895","Age: 47 ex_fr_female$Type: Predicted Year: 1869 Ex: 23.140705","Age: 47 ex_fr_female$Type: Predicted Year: 1870 Ex: 21.755014","Age: 47 ex_fr_female$Type: Predicted Year: 1871 Ex: 20.605451","Age: 47 ex_fr_female$Type: Predicted Year: 1872 Ex: 24.068656","Age: 47 ex_fr_female$Type: Predicted Year: 1873 Ex: 23.460826","Age: 47 ex_fr_female$Type: Predicted Year: 1874 Ex: 23.877200","Age: 47 ex_fr_female$Type: Predicted Year: 1875 Ex: 23.142539","Age: 47 ex_fr_female$Type: Predicted Year: 1876 Ex: 23.639768","Age: 47 ex_fr_female$Type: Predicted Year: 1877 Ex: 24.013104","Age: 47 ex_fr_female$Type: Predicted Year: 1878 Ex: 23.546608","Age: 47 ex_fr_female$Type: Predicted Year: 1879 Ex: 23.292813","Age: 47 ex_fr_female$Type: Predicted Year: 1880 Ex: 23.564630","Age: 47 ex_fr_female$Type: Predicted Year: 1881 Ex: 23.973249","Age: 47 ex_fr_female$Type: Predicted Year: 1882 Ex: 23.883660","Age: 47 ex_fr_female$Type: Predicted Year: 1883 Ex: 23.844285","Age: 47 ex_fr_female$Type: Predicted Year: 1884 Ex: 23.945731","Age: 47 ex_fr_female$Type: Predicted Year: 1885 Ex: 23.961992","Age: 47 ex_fr_female$Type: Predicted Year: 1886 Ex: 23.834953","Age: 47 ex_fr_female$Type: Predicted Year: 1887 Ex: 23.759360","Age: 47 ex_fr_female$Type: Predicted Year: 1888 Ex: 23.966674","Age: 47 ex_fr_female$Type: Predicted Year: 1889 Ex: 24.351020","Age: 47 ex_fr_female$Type: Predicted Year: 1890 Ex: 23.394351","Age: 47 ex_fr_female$Type: Predicted Year: 1891 Ex: 23.134990","Age: 47 ex_fr_female$Type: Predicted Year: 1892 Ex: 23.325154","Age: 47 ex_fr_female$Type: Predicted Year: 1893 Ex: 23.458508","Age: 47 ex_fr_female$Type: Predicted Year: 1894 Ex: 24.005608","Age: 47 ex_fr_female$Type: Predicted Year: 1895 Ex: 23.531689","Age: 47 ex_fr_female$Type: Predicted Year: 1896 Ex: 24.455351","Age: 47 ex_fr_female$Type: Predicted Year: 1897 Ex: 24.829877","Age: 47 ex_fr_female$Type: Predicted Year: 1898 Ex: 24.083336","Age: 47 ex_fr_female$Type: Predicted Year: 1899 Ex: 24.104037","Age: 47 ex_fr_female$Type: Predicted Year: 1900 Ex: 23.314142","Age: 47 ex_fr_female$Type: Predicted Year: 1901 Ex: 24.201461","Age: 47 ex_fr_female$Type: Predicted Year: 1902 Ex: 24.503680","Age: 47 ex_fr_female$Type: Predicted Year: 1903 Ex: 24.578945","Age: 47 ex_fr_female$Type: Predicted Year: 1904 Ex: 24.557294","Age: 47 ex_fr_female$Type: Predicted Year: 1905 Ex: 24.234780","Age: 47 ex_fr_female$Type: Predicted Year: 1906 Ex: 24.294400","Age: 47 ex_fr_female$Type: Predicted Year: 1907 Ex: 23.853376","Age: 47 ex_fr_female$Type: Predicted Year: 1908 Ex: 24.523782","Age: 47 ex_fr_female$Type: Predicted Year: 1909 Ex: 24.095204","Age: 47 ex_fr_female$Type: Predicted Year: 1910 Ex: 24.987849","Age: 47 ex_fr_female$Type: Predicted Year: 1911 Ex: 24.406509","Age: 47 ex_fr_female$Type: Predicted Year: 1912 Ex: 25.118168","Age: 47 ex_fr_female$Type: Predicted Year: 1913 Ex: 25.155917","Age: 47 ex_fr_female$Type: Predicted Year: 1914 Ex: 24.486840","Age: 47 ex_fr_female$Type: Predicted Year: 1915 Ex: 24.536074","Age: 47 ex_fr_female$Type: Predicted Year: 1916 Ex: 24.835351","Age: 47 ex_fr_female$Type: Predicted Year: 1917 Ex: 24.715691","Age: 47 ex_fr_female$Type: Predicted Year: 1918 Ex: 23.900350","Age: 47 ex_fr_female$Type: Predicted Year: 1919 Ex: 24.770702","Age: 47 ex_fr_female$Type: Predicted Year: 1920 Ex: 25.780657","Age: 47 ex_fr_female$Type: Predicted Year: 1921 Ex: 25.653036","Age: 47 ex_fr_female$Type: Predicted Year: 1922 Ex: 25.237339","Age: 47 ex_fr_female$Type: Predicted Year: 1923 Ex: 25.929042","Age: 47 ex_fr_female$Type: Predicted Year: 1924 Ex: 25.623650","Age: 47 ex_fr_female$Type: Predicted Year: 1925 Ex: 25.500347","Age: 47 ex_fr_female$Type: Predicted Year: 1926 Ex: 25.602951","Age: 47 ex_fr_female$Type: Predicted Year: 1927 Ex: 25.955047","Age: 47 ex_fr_female$Type: Predicted Year: 1928 Ex: 26.165451","Age: 47 ex_fr_female$Type: Predicted Year: 1929 Ex: 25.226769","Age: 47 ex_fr_female$Type: Predicted Year: 1930 Ex: 26.564521","Age: 47 ex_fr_female$Type: Predicted Year: 1931 Ex: 26.008986","Age: 47 ex_fr_female$Type: Predicted Year: 1932 Ex: 26.320292","Age: 47 ex_fr_female$Type: Predicted Year: 1933 Ex: 26.271815","Age: 47 ex_fr_female$Type: Predicted Year: 1934 Ex: 26.828612","Age: 47 ex_fr_female$Type: Predicted Year: 1935 Ex: 26.343502","Age: 47 ex_fr_female$Type: Predicted Year: 1936 Ex: 26.680496","Age: 47 ex_fr_female$Type: Predicted Year: 1937 Ex: 26.996148","Age: 47 ex_fr_female$Type: Predicted Year: 1938 Ex: 26.762150","Age: 47 ex_fr_female$Type: Predicted Year: 1939 Ex: 26.750086","Age: 47 ex_fr_female$Type: Predicted Year: 1940 Ex: 25.286808","Age: 47 ex_fr_female$Type: Predicted Year: 1941 Ex: 26.391241","Age: 47 ex_fr_female$Type: Predicted Year: 1942 Ex: 26.701611","Age: 47 ex_fr_female$Type: Predicted Year: 1943 Ex: 26.931728","Age: 47 ex_fr_female$Type: Predicted Year: 1944 Ex: 25.683891","Age: 47 ex_fr_female$Type: Predicted Year: 1945 Ex: 27.236021","Age: 47 ex_fr_female$Type: Predicted Year: 1946 Ex: 28.808014","Age: 47 ex_fr_female$Type: Predicted Year: 1947 Ex: 29.122550","Age: 47 ex_fr_female$Type: Predicted Year: 1948 Ex: 29.652491","Age: 47 ex_fr_female$Type: Predicted Year: 1949 Ex: 28.572863","Age: 47 ex_fr_female$Type: Predicted Year: 1950 Ex: 29.304106","Age: 47 ex_fr_female$Type: Predicted Year: 1951 Ex: 28.823410","Age: 47 ex_fr_female$Type: Predicted Year: 1952 Ex: 29.598784","Age: 47 ex_fr_female$Type: Predicted Year: 1953 Ex: 29.082078","Age: 47 ex_fr_female$Type: Predicted Year: 1954 Ex: 29.929698","Age: 47 ex_fr_female$Type: Predicted Year: 1955 Ex: 29.974836","Age: 47 ex_fr_female$Type: Predicted Year: 1956 Ex: 29.809781","Age: 47 ex_fr_female$Type: Predicted Year: 1957 Ex: 30.229060","Age: 47 ex_fr_female$Type: Predicted Year: 1958 Ex: 30.851539","Age: 47 ex_fr_female$Type: Predicted Year: 1959 Ex: 30.913201","Age: 47 ex_fr_female$Type: Predicted Year: 1960 Ex: 30.879236","Age: 47 ex_fr_female$Type: Predicted Year: 1961 Ex: 31.497253","Age: 47 ex_fr_female$Type: Predicted Year: 1962 Ex: 30.990164","Age: 47 ex_fr_female$Type: Predicted Year: 1963 Ex: 30.928618","Age: 47 ex_fr_female$Type: Predicted Year: 1964 Ex: 31.714477","Age: 47 ex_fr_female$Type: Predicted Year: 1965 Ex: 31.506065","Age: 47 ex_fr_female$Type: Predicted Year: 1966 Ex: 31.915103","Age: 47 ex_fr_female$Type: Predicted Year: 1967 Ex: 31.879427","Age: 47 ex_fr_female$Type: Predicted Year: 1968 Ex: 31.865027","Age: 47 ex_fr_female$Type: Predicted Year: 1969 Ex: 31.656218","Age: 47 ex_fr_female$Type: Predicted Year: 1970 Ex: 32.275125","Age: 47 ex_fr_female$Type: Predicted Year: 1971 Ex: 32.300530","Age: 47 ex_fr_female$Type: Predicted Year: 1972 Ex: 32.558131","Age: 47 ex_fr_female$Type: Predicted Year: 1973 Ex: 32.572938","Age: 47 ex_fr_female$Type: Predicted Year: 1974 Ex: 32.853363","Age: 47 ex_fr_female$Type: Predicted Year: 1975 Ex: 32.880016","Age: 47 ex_fr_female$Type: Predicted Year: 1976 Ex: 33.124638","Age: 47 ex_fr_female$Type: Predicted Year: 1977 Ex: 33.688381","Age: 47 ex_fr_female$Type: Predicted Year: 1978 Ex: 33.692141","Age: 47 ex_fr_female$Type: Predicted Year: 1979 Ex: 33.970935","Age: 47 ex_fr_female$Type: Predicted Year: 1980 Ex: 34.094352","Age: 47 ex_fr_female$Type: Predicted Year: 1981 Ex: 34.119017","Age: 47 ex_fr_female$Type: Predicted Year: 1982 Ex: 34.463125","Age: 47 ex_fr_female$Type: Predicted Year: 1983 Ex: 34.359065","Age: 47 ex_fr_female$Type: Predicted Year: 1984 Ex: 34.824595","Age: 47 ex_fr_female$Type: Predicted Year: 1985 Ex: 34.836020","Age: 47 ex_fr_female$Type: Predicted Year: 1986 Ex: 35.066801","Age: 47 ex_fr_female$Type: Predicted Year: 1987 Ex: 35.565979","Age: 47 ex_fr_female$Type: Predicted Year: 1988 Ex: 35.777724","Age: 47 ex_fr_female$Type: Predicted Year: 1989 Ex: 35.934983","Age: 47 ex_fr_female$Type: Predicted Year: 1990 Ex: 36.161420","Age: 47 ex_fr_female$Type: Predicted Year: 1991 Ex: 36.391080","Age: 47 ex_fr_female$Type: Predicted Year: 1992 Ex: 36.620200","Age: 47 ex_fr_female$Type: Predicted Year: 1993 Ex: 36.603402","Age: 47 ex_fr_female$Type: Predicted Year: 1994 Ex: 36.966362","Age: 47 ex_fr_female$Type: Predicted Year: 1995 Ex: 36.955732","Age: 47 ex_fr_female$Type: Predicted Year: 1996 Ex: 37.017751","Age: 47 ex_fr_female$Type: Predicted Year: 1997 Ex: 37.197392","Age: 47 ex_fr_female$Type: Predicted Year: 1998 Ex: 37.284418","Age: 47 ex_fr_female$Type: Predicted Year: 1999 Ex: 37.353323","Age: 47 ex_fr_female$Type: Predicted Year: 2000 Ex: 37.601430","Age: 47 ex_fr_female$Type: Predicted Year: 2001 Ex: 37.756965","Age: 47 ex_fr_female$Type: Predicted Year: 2002 Ex: 37.786793","Age: 47 ex_fr_female$Type: Predicted Year: 2003 Ex: 37.631173","Age: 47 ex_fr_female$Type: Predicted Year: 2004 Ex: 38.502320","Age: 47 ex_fr_female$Type: Predicted Year: 2005 Ex: 38.400417","Age: 47 ex_fr_female$Type: Predicted Year: 2006 Ex: 38.733977","Age: 47 ex_fr_female$Type: Predicted Year: 2007 Ex: 38.875640","Age: 47 ex_fr_female$Type: Predicted Year: 2008 Ex: 38.849107","Age: 47 ex_fr_female$Type: Predicted Year: 2009 Ex: 38.942738","Age: 47 ex_fr_female$Type: Predicted Year: 2010 Ex: 39.110233","Age: 47 ex_fr_female$Type: Predicted Year: 2011 Ex: 39.418303","Age: 47 ex_fr_female$Type: Predicted Year: 2012 Ex: 39.241654","Age: 47 ex_fr_female$Type: Predicted Year: 2013 Ex: 39.435587","Age: 47 ex_fr_female$Type: Predicted Year: 2014 Ex: 39.798172","Age: 47 ex_fr_female$Type: Predicted Year: 2015 Ex: 39.504301","Age: 47 ex_fr_female$Type: Predicted Year: 2016 Ex: 39.673197","Age: 47 ex_fr_female$Type: Predicted Year: 2017 Ex: 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1910 Ex: 23.950000","Age: 48 ex_fr_female$Type: Observed Year: 1911 Ex: 23.390000","Age: 48 ex_fr_female$Type: Observed Year: 1912 Ex: 24.080000","Age: 48 ex_fr_female$Type: Observed Year: 1913 Ex: 24.120000","Age: 48 ex_fr_female$Type: Observed Year: 1914 Ex: 23.460000","Age: 48 ex_fr_female$Type: Observed Year: 1915 Ex: 23.520000","Age: 48 ex_fr_female$Type: Observed Year: 1916 Ex: 23.810000","Age: 48 ex_fr_female$Type: Observed Year: 1917 Ex: 23.670000","Age: 48 ex_fr_female$Type: Observed Year: 1918 Ex: 22.930000","Age: 48 ex_fr_female$Type: Observed Year: 1919 Ex: 23.750000","Age: 48 ex_fr_female$Type: Observed Year: 1920 Ex: 24.730000","Age: 48 ex_fr_female$Type: Observed Year: 1921 Ex: 24.610000","Age: 48 ex_fr_female$Type: Observed Year: 1922 Ex: 24.190000","Age: 48 ex_fr_female$Type: Observed Year: 1923 Ex: 24.890000","Age: 48 ex_fr_female$Type: Observed Year: 1924 Ex: 24.590000","Age: 48 ex_fr_female$Type: Observed Year: 1925 Ex: 24.460000","Age: 48 ex_fr_female$Type: Observed Year: 1926 Ex: 24.560000","Age: 48 ex_fr_female$Type: Observed Year: 1927 Ex: 24.900000","Age: 48 ex_fr_female$Type: Observed Year: 1928 Ex: 25.100000","Age: 48 ex_fr_female$Type: Observed Year: 1929 Ex: 24.180000","Age: 48 ex_fr_female$Type: Observed Year: 1930 Ex: 25.510000","Age: 48 ex_fr_female$Type: Observed Year: 1931 Ex: 24.960000","Age: 48 ex_fr_female$Type: Observed Year: 1932 Ex: 25.260000","Age: 48 ex_fr_female$Type: Observed Year: 1933 Ex: 25.220000","Age: 48 ex_fr_female$Type: Observed Year: 1934 Ex: 25.770000","Age: 48 ex_fr_female$Type: Observed Year: 1935 Ex: 25.300000","Age: 48 ex_fr_female$Type: Observed Year: 1936 Ex: 25.610000","Age: 48 ex_fr_female$Type: Observed Year: 1937 Ex: 25.930000","Age: 48 ex_fr_female$Type: Observed Year: 1938 Ex: 25.700000","Age: 48 ex_fr_female$Type: Observed Year: 1939 Ex: 25.680000","Age: 48 ex_fr_female$Type: Observed Year: 1940 Ex: 24.220000","Age: 48 ex_fr_female$Type: Observed Year: 1941 Ex: 25.330000","Age: 48 ex_fr_female$Type: Observed Year: 1942 Ex: 25.620000","Age: 48 ex_fr_female$Type: Observed Year: 1943 Ex: 25.860000","Age: 48 ex_fr_female$Type: Observed Year: 1944 Ex: 24.660000","Age: 48 ex_fr_female$Type: Observed Year: 1945 Ex: 26.160000","Age: 48 ex_fr_female$Type: Observed Year: 1946 Ex: 27.680000","Age: 48 ex_fr_female$Type: Observed Year: 1947 Ex: 28.000000","Age: 48 ex_fr_female$Type: Observed Year: 1948 Ex: 28.530000","Age: 48 ex_fr_female$Type: Observed Year: 1949 Ex: 27.440000","Age: 48 ex_fr_female$Type: Observed Year: 1950 Ex: 28.180000","Age: 48 ex_fr_female$Type: Observed Year: 1951 Ex: 27.700000","Age: 48 ex_fr_female$Type: Observed Year: 1952 Ex: 28.470000","Age: 48 ex_fr_female$Type: Observed Year: 1953 Ex: 27.950000","Age: 48 ex_fr_female$Type: Observed Year: 1954 Ex: 28.800000","Age: 48 ex_fr_female$Type: Observed Year: 1955 Ex: 28.840000","Age: 48 ex_fr_female$Type: Observed Year: 1956 Ex: 28.680000","Age: 48 ex_fr_female$Type: Observed Year: 1957 Ex: 29.090000","Age: 48 ex_fr_female$Type: Observed Year: 1958 Ex: 29.700000","Age: 48 ex_fr_female$Type: Observed Year: 1959 Ex: 29.760000","Age: 48 ex_fr_female$Type: Observed Year: 1960 Ex: 29.730000","Age: 48 ex_fr_female$Type: Observed Year: 1961 Ex: 30.340000","Age: 48 ex_fr_female$Type: Observed Year: 1962 Ex: 29.840000","Age: 48 ex_fr_female$Type: Observed Year: 1963 Ex: 29.770000","Age: 48 ex_fr_female$Type: Observed Year: 1964 Ex: 30.560000","Age: 48 ex_fr_female$Type: Observed Year: 1965 Ex: 30.360000","Age: 48 ex_fr_female$Type: Observed Year: 1966 Ex: 30.760000","Age: 48 ex_fr_female$Type: Observed Year: 1967 Ex: 30.730000","Age: 48 ex_fr_female$Type: Observed Year: 1968 Ex: 30.710000","Age: 48 ex_fr_female$Type: Observed Year: 1969 Ex: 30.500000","Age: 48 ex_fr_female$Type: Observed Year: 1970 Ex: 31.110000","Age: 48 ex_fr_female$Type: Observed Year: 1971 Ex: 31.150000","Age: 48 ex_fr_female$Type: Observed Year: 1972 Ex: 31.400000","Age: 48 ex_fr_female$Type: Observed Year: 1973 Ex: 31.410000","Age: 48 ex_fr_female$Type: Observed Year: 1974 Ex: 31.690000","Age: 48 ex_fr_female$Type: Observed Year: 1975 Ex: 31.710000","Age: 48 ex_fr_female$Type: Observed Year: 1976 Ex: 31.960000","Age: 48 ex_fr_female$Type: Observed Year: 1977 Ex: 32.520000","Age: 48 ex_fr_female$Type: Observed Year: 1978 Ex: 32.520000","Age: 48 ex_fr_female$Type: Observed Year: 1979 Ex: 32.790000","Age: 48 ex_fr_female$Type: Observed Year: 1980 Ex: 32.930000","Age: 48 ex_fr_female$Type: Observed Year: 1981 Ex: 32.940000","Age: 48 ex_fr_female$Type: Observed Year: 1982 Ex: 33.290000","Age: 48 ex_fr_female$Type: Observed Year: 1983 Ex: 33.180000","Age: 48 ex_fr_female$Type: Observed Year: 1984 Ex: 33.650000","Age: 48 ex_fr_female$Type: Observed Year: 1985 Ex: 33.660000","Age: 48 ex_fr_female$Type: Observed Year: 1986 Ex: 33.890000","Age: 48 ex_fr_female$Type: Observed Year: 1987 Ex: 34.380000","Age: 48 ex_fr_female$Type: Observed Year: 1988 Ex: 34.600000","Age: 48 ex_fr_female$Type: Observed Year: 1989 Ex: 34.750000","Age: 48 ex_fr_female$Type: Observed Year: 1990 Ex: 34.980000","Age: 48 ex_fr_female$Type: Observed Year: 1991 Ex: 35.210000","Age: 48 ex_fr_female$Type: Observed Year: 1992 Ex: 35.440000","Age: 48 ex_fr_female$Type: Observed Year: 1993 Ex: 35.420000","Age: 48 ex_fr_female$Type: Observed Year: 1994 Ex: 35.790000","Age: 48 ex_fr_female$Type: Observed Year: 1995 Ex: 35.780000","Age: 48 ex_fr_female$Type: Observed Year: 1996 Ex: 35.840000","Age: 48 ex_fr_female$Type: Observed Year: 1997 Ex: 36.010000","Age: 48 ex_fr_female$Type: Observed Year: 1998 Ex: 36.100000","Age: 48 ex_fr_female$Type: Observed Year: 1999 Ex: 36.170000","Age: 48 ex_fr_female$Type: Observed Year: 2000 Ex: 36.420000","Age: 48 ex_fr_female$Type: Observed Year: 2001 Ex: 36.580000","Age: 48 ex_fr_female$Type: Observed Year: 2002 Ex: 36.610000","Age: 48 ex_fr_female$Type: Observed Year: 2003 Ex: 36.450000","Age: 48 ex_fr_female$Type: Observed Year: 2004 Ex: 37.320000","Age: 48 ex_fr_female$Type: Observed Year: 2005 Ex: 37.220000","Age: 48 ex_fr_female$Type: Observed Year: 2006 Ex: 37.550000","Age: 48 ex_fr_female$Type: Observed Year: 2007 Ex: 37.690000","Age: 48 ex_fr_female$Type: Observed Year: 2008 Ex: 37.660000","Age: 48 ex_fr_female$Type: Observed Year: 2009 Ex: 37.760000","Age: 48 ex_fr_female$Type: Observed Year: 2010 Ex: 37.920000","Age: 48 ex_fr_female$Type: Observed Year: 2011 Ex: 38.230000","Age: 48 ex_fr_female$Type: Observed Year: 2012 Ex: 38.050000","Age: 48 ex_fr_female$Type: Observed Year: 2013 Ex: 38.240000","Age: 48 ex_fr_female$Type: Observed Year: 2014 Ex: 38.600000","Age: 48 ex_fr_female$Type: Observed Year: 2015 Ex: 38.310000","Age: 48 ex_fr_female$Type: Observed Year: 2016 Ex: 38.480000","Age: 48 ex_fr_female$Type: Observed Year: 2017 Ex: 38.430000"],"frame":"48","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[21.5143774043234,21.4973021620669,21.5344380236463,21.6943287752826,21.3000136095816,22.3648469337016,22.4040548747853,22.5463818821007,22.7050384745672,22.2277206535769,21.7327406971149,21.9994408775318,21.737992129598,21.635068743635,21.6756915781715,22.0913192787729,19.702434643671,21.9655910147012,21.3596477326016,21.9988036150153,22.5825324646264,20.771499904286,21.9704331336306,22.567519666622,21.9523785292086,22.7323516863043,22.0862748662218,22.5366081663186,22.6320073377047,22.9764403273106,22.5751056972416,21.4826099369736,21.8330736040379,20.5331570540486,22.6278515978458,22.4801979073287,22.4517245037207,22.264911382659,20.1653321856077,21.2582366709386,22.5437721624127,22.0208173073339,21.4791934654835,21.6344038986762,22.705188216534,22.6319688017061,22.8202909523499,22.6003639825379,22.312059397915,22.081400303478,22.1994075684258,22.452077756015,22.2802036521633,22.4211378074695,21.0682662498689,19.998907012477,23.3577197301213,22.74545678083,23.1537416143846,22.4264337835999,22.9214632269176,23.2905398561687,22.8255369544843,22.5707458365231,22.8486796753957,23.255915962715,23.1761362880876,23.1310697493746,23.2290152979833,23.2438109487885,23.1159545314443,23.0420405746994,23.2127142169534,23.5974756938486,22.6443414471239,22.3897005328421,22.5852363093769,22.7184840010789,23.2774857836546,22.8223284970839,23.7309764852183,24.0778395029404,23.3346512613959,23.3486557620634,22.5900255453463,23.4662555732617,23.7560790343852,23.8258093702909,23.8010195963144,23.4932270123583,23.5458006547248,23.1190047301228,23.7768769864744,23.3406851466259,24.2173917880672,23.6566778747886,24.3546484627002,24.390768303288,23.733244545466,23.7885705006848,24.0774695626056,23.9346169465532,23.2003813100231,24.0158545826091,25.0030901671274,24.8814518771389,24.4619802812293,25.154832432073,24.8550947017377,24.7248536746348,24.828885940208,25.1684880106123,25.3713409590876,24.4505655341849,25.7820207242035,25.225966108842,25.524039946772,25.4832339542936,26.0345138692189,25.5646308653703,25.8815457653894,26.1945495530458,25.961180752266,25.9474377405901,24.4856484828069,25.5921566654544,25.8840830046474,26.123522321292,24.9265685053826,26.4208694322874,27.9493399742264,28.2651582498296,28.7933454859085,27.7073729084644,28.443276865248,27.9633891284726,28.7349935650532,28.2144332879902,29.0627259530191,29.1033306953332,28.9384398529557,29.3532892262127,29.9631339124659,30.0228858153174,29.990932382526,30.6028231159848,30.1050227288885,30.0356103472339,30.8192207243476,30.6206884337817,31.0271399103134,30.9894471325492,30.9705909763661,30.764518092744,31.3699563013372,31.4062832151994,31.6608814643036,31.6750927458282,31.9502441918537,31.9743789331849,32.2242952568744,32.7857657436923,32.7838776885396,33.05505268368,33.186526863366,33.2045178415151,33.5481391747407,33.4448374055165,33.9070730414857,33.9161159851803,34.1484745588116,34.6435608428962,34.8593100079244,35.00947463885,35.2363880585365,35.4679696458087,35.6968559108453,35.6796606701491,36.0452149932986,36.0352922501261,36.0945186874381,36.2712284230131,36.3580608243013,36.4293187587188,36.6805400310914,36.8349133854449,36.8629352712952,36.7096029711173,37.5803047421042,37.4732559596808,37.8043920561817,37.945931633949,37.919733839864,38.0143076879762,38.1770869819268,38.4837407169707,38.3067951682681,38.4979340933488,38.8595252178782,38.5667575206564,38.7363162497793,38.6829473164885],"text":["Age: 48 ex_fr_female$Type: Predicted Year: 1816 Ex: 21.514377","Age: 48 ex_fr_female$Type: Predicted Year: 1817 Ex: 21.497302","Age: 48 ex_fr_female$Type: Predicted Year: 1818 Ex: 21.534438","Age: 48 ex_fr_female$Type: Predicted Year: 1819 Ex: 21.694329","Age: 48 ex_fr_female$Type: Predicted Year: 1820 Ex: 21.300014","Age: 48 ex_fr_female$Type: Predicted Year: 1821 Ex: 22.364847","Age: 48 ex_fr_female$Type: Predicted Year: 1822 Ex: 22.404055","Age: 48 ex_fr_female$Type: Predicted Year: 1823 Ex: 22.546382","Age: 48 ex_fr_female$Type: Predicted Year: 1824 Ex: 22.705038","Age: 48 ex_fr_female$Type: Predicted Year: 1825 Ex: 22.227721","Age: 48 ex_fr_female$Type: Predicted Year: 1826 Ex: 21.732741","Age: 48 ex_fr_female$Type: Predicted Year: 1827 Ex: 21.999441","Age: 48 ex_fr_female$Type: Predicted Year: 1828 Ex: 21.737992","Age: 48 ex_fr_female$Type: Predicted Year: 1829 Ex: 21.635069","Age: 48 ex_fr_female$Type: Predicted Year: 1830 Ex: 21.675692","Age: 48 ex_fr_female$Type: Predicted Year: 1831 Ex: 22.091319","Age: 48 ex_fr_female$Type: Predicted Year: 1832 Ex: 19.702435","Age: 48 ex_fr_female$Type: Predicted Year: 1833 Ex: 21.965591","Age: 48 ex_fr_female$Type: Predicted Year: 1834 Ex: 21.359648","Age: 48 ex_fr_female$Type: Predicted Year: 1835 Ex: 21.998804","Age: 48 ex_fr_female$Type: Predicted Year: 1836 Ex: 22.582532","Age: 48 ex_fr_female$Type: Predicted Year: 1837 Ex: 20.771500","Age: 48 ex_fr_female$Type: Predicted Year: 1838 Ex: 21.970433","Age: 48 ex_fr_female$Type: Predicted Year: 1839 Ex: 22.567520","Age: 48 ex_fr_female$Type: Predicted Year: 1840 Ex: 21.952379","Age: 48 ex_fr_female$Type: Predicted Year: 1841 Ex: 22.732352","Age: 48 ex_fr_female$Type: Predicted Year: 1842 Ex: 22.086275","Age: 48 ex_fr_female$Type: Predicted Year: 1843 Ex: 22.536608","Age: 48 ex_fr_female$Type: Predicted Year: 1844 Ex: 22.632007","Age: 48 ex_fr_female$Type: Predicted Year: 1845 Ex: 22.976440","Age: 48 ex_fr_female$Type: Predicted Year: 1846 Ex: 22.575106","Age: 48 ex_fr_female$Type: Predicted Year: 1847 Ex: 21.482610","Age: 48 ex_fr_female$Type: Predicted Year: 1848 Ex: 21.833074","Age: 48 ex_fr_female$Type: Predicted Year: 1849 Ex: 20.533157","Age: 48 ex_fr_female$Type: Predicted Year: 1850 Ex: 22.627852","Age: 48 ex_fr_female$Type: Predicted Year: 1851 Ex: 22.480198","Age: 48 ex_fr_female$Type: Predicted Year: 1852 Ex: 22.451725","Age: 48 ex_fr_female$Type: Predicted Year: 1853 Ex: 22.264911","Age: 48 ex_fr_female$Type: Predicted Year: 1854 Ex: 20.165332","Age: 48 ex_fr_female$Type: Predicted Year: 1855 Ex: 21.258237","Age: 48 ex_fr_female$Type: Predicted Year: 1856 Ex: 22.543772","Age: 48 ex_fr_female$Type: Predicted Year: 1857 Ex: 22.020817","Age: 48 ex_fr_female$Type: Predicted Year: 1858 Ex: 21.479193","Age: 48 ex_fr_female$Type: Predicted Year: 1859 Ex: 21.634404","Age: 48 ex_fr_female$Type: Predicted Year: 1860 Ex: 22.705188","Age: 48 ex_fr_female$Type: Predicted Year: 1861 Ex: 22.631969","Age: 48 ex_fr_female$Type: Predicted Year: 1862 Ex: 22.820291","Age: 48 ex_fr_female$Type: Predicted Year: 1863 Ex: 22.600364","Age: 48 ex_fr_female$Type: Predicted Year: 1864 Ex: 22.312059","Age: 48 ex_fr_female$Type: Predicted Year: 1865 Ex: 22.081400","Age: 48 ex_fr_female$Type: Predicted Year: 1866 Ex: 22.199408","Age: 48 ex_fr_female$Type: Predicted Year: 1867 Ex: 22.452078","Age: 48 ex_fr_female$Type: Predicted Year: 1868 Ex: 22.280204","Age: 48 ex_fr_female$Type: Predicted Year: 1869 Ex: 22.421138","Age: 48 ex_fr_female$Type: Predicted Year: 1870 Ex: 21.068266","Age: 48 ex_fr_female$Type: Predicted Year: 1871 Ex: 19.998907","Age: 48 ex_fr_female$Type: Predicted Year: 1872 Ex: 23.357720","Age: 48 ex_fr_female$Type: Predicted Year: 1873 Ex: 22.745457","Age: 48 ex_fr_female$Type: Predicted Year: 1874 Ex: 23.153742","Age: 48 ex_fr_female$Type: Predicted Year: 1875 Ex: 22.426434","Age: 48 ex_fr_female$Type: Predicted Year: 1876 Ex: 22.921463","Age: 48 ex_fr_female$Type: Predicted Year: 1877 Ex: 23.290540","Age: 48 ex_fr_female$Type: Predicted Year: 1878 Ex: 22.825537","Age: 48 ex_fr_female$Type: Predicted Year: 1879 Ex: 22.570746","Age: 48 ex_fr_female$Type: Predicted Year: 1880 Ex: 22.848680","Age: 48 ex_fr_female$Type: Predicted Year: 1881 Ex: 23.255916","Age: 48 ex_fr_female$Type: Predicted Year: 1882 Ex: 23.176136","Age: 48 ex_fr_female$Type: Predicted Year: 1883 Ex: 23.131070","Age: 48 ex_fr_female$Type: Predicted Year: 1884 Ex: 23.229015","Age: 48 ex_fr_female$Type: Predicted Year: 1885 Ex: 23.243811","Age: 48 ex_fr_female$Type: Predicted Year: 1886 Ex: 23.115955","Age: 48 ex_fr_female$Type: Predicted Year: 1887 Ex: 23.042041","Age: 48 ex_fr_female$Type: Predicted Year: 1888 Ex: 23.212714","Age: 48 ex_fr_female$Type: Predicted Year: 1889 Ex: 23.597476","Age: 48 ex_fr_female$Type: Predicted Year: 1890 Ex: 22.644341","Age: 48 ex_fr_female$Type: Predicted Year: 1891 Ex: 22.389701","Age: 48 ex_fr_female$Type: Predicted Year: 1892 Ex: 22.585236","Age: 48 ex_fr_female$Type: Predicted Year: 1893 Ex: 22.718484","Age: 48 ex_fr_female$Type: Predicted Year: 1894 Ex: 23.277486","Age: 48 ex_fr_female$Type: Predicted Year: 1895 Ex: 22.822328","Age: 48 ex_fr_female$Type: Predicted Year: 1896 Ex: 23.730976","Age: 48 ex_fr_female$Type: Predicted Year: 1897 Ex: 24.077840","Age: 48 ex_fr_female$Type: Predicted Year: 1898 Ex: 23.334651","Age: 48 ex_fr_female$Type: Predicted Year: 1899 Ex: 23.348656","Age: 48 ex_fr_female$Type: Predicted Year: 1900 Ex: 22.590026","Age: 48 ex_fr_female$Type: Predicted Year: 1901 Ex: 23.466256","Age: 48 ex_fr_female$Type: Predicted Year: 1902 Ex: 23.756079","Age: 48 ex_fr_female$Type: Predicted Year: 1903 Ex: 23.825809","Age: 48 ex_fr_female$Type: Predicted Year: 1904 Ex: 23.801020","Age: 48 ex_fr_female$Type: Predicted Year: 1905 Ex: 23.493227","Age: 48 ex_fr_female$Type: Predicted Year: 1906 Ex: 23.545801","Age: 48 ex_fr_female$Type: Predicted Year: 1907 Ex: 23.119005","Age: 48 ex_fr_female$Type: Predicted Year: 1908 Ex: 23.776877","Age: 48 ex_fr_female$Type: Predicted Year: 1909 Ex: 23.340685","Age: 48 ex_fr_female$Type: Predicted Year: 1910 Ex: 24.217392","Age: 48 ex_fr_female$Type: Predicted Year: 1911 Ex: 23.656678","Age: 48 ex_fr_female$Type: Predicted Year: 1912 Ex: 24.354648","Age: 48 ex_fr_female$Type: Predicted Year: 1913 Ex: 24.390768","Age: 48 ex_fr_female$Type: Predicted Year: 1914 Ex: 23.733245","Age: 48 ex_fr_female$Type: Predicted Year: 1915 Ex: 23.788571","Age: 48 ex_fr_female$Type: Predicted Year: 1916 Ex: 24.077470","Age: 48 ex_fr_female$Type: Predicted Year: 1917 Ex: 23.934617","Age: 48 ex_fr_female$Type: Predicted Year: 1918 Ex: 23.200381","Age: 48 ex_fr_female$Type: Predicted Year: 1919 Ex: 24.015855","Age: 48 ex_fr_female$Type: Predicted Year: 1920 Ex: 25.003090","Age: 48 ex_fr_female$Type: Predicted Year: 1921 Ex: 24.881452","Age: 48 ex_fr_female$Type: Predicted Year: 1922 Ex: 24.461980","Age: 48 ex_fr_female$Type: Predicted Year: 1923 Ex: 25.154832","Age: 48 ex_fr_female$Type: Predicted Year: 1924 Ex: 24.855095","Age: 48 ex_fr_female$Type: Predicted Year: 1925 Ex: 24.724854","Age: 48 ex_fr_female$Type: Predicted Year: 1926 Ex: 24.828886","Age: 48 ex_fr_female$Type: Predicted Year: 1927 Ex: 25.168488","Age: 48 ex_fr_female$Type: Predicted Year: 1928 Ex: 25.371341","Age: 48 ex_fr_female$Type: Predicted Year: 1929 Ex: 24.450566","Age: 48 ex_fr_female$Type: Predicted Year: 1930 Ex: 25.782021","Age: 48 ex_fr_female$Type: Predicted Year: 1931 Ex: 25.225966","Age: 48 ex_fr_female$Type: Predicted Year: 1932 Ex: 25.524040","Age: 48 ex_fr_female$Type: Predicted Year: 1933 Ex: 25.483234","Age: 48 ex_fr_female$Type: Predicted Year: 1934 Ex: 26.034514","Age: 48 ex_fr_female$Type: Predicted Year: 1935 Ex: 25.564631","Age: 48 ex_fr_female$Type: Predicted Year: 1936 Ex: 25.881546","Age: 48 ex_fr_female$Type: Predicted Year: 1937 Ex: 26.194550","Age: 48 ex_fr_female$Type: Predicted Year: 1938 Ex: 25.961181","Age: 48 ex_fr_female$Type: Predicted Year: 1939 Ex: 25.947438","Age: 48 ex_fr_female$Type: Predicted Year: 1940 Ex: 24.485648","Age: 48 ex_fr_female$Type: Predicted Year: 1941 Ex: 25.592157","Age: 48 ex_fr_female$Type: Predicted Year: 1942 Ex: 25.884083","Age: 48 ex_fr_female$Type: Predicted Year: 1943 Ex: 26.123522","Age: 48 ex_fr_female$Type: Predicted Year: 1944 Ex: 24.926569","Age: 48 ex_fr_female$Type: Predicted Year: 1945 Ex: 26.420869","Age: 48 ex_fr_female$Type: Predicted Year: 1946 Ex: 27.949340","Age: 48 ex_fr_female$Type: Predicted Year: 1947 Ex: 28.265158","Age: 48 ex_fr_female$Type: Predicted Year: 1948 Ex: 28.793345","Age: 48 ex_fr_female$Type: Predicted Year: 1949 Ex: 27.707373","Age: 48 ex_fr_female$Type: Predicted Year: 1950 Ex: 28.443277","Age: 48 ex_fr_female$Type: Predicted Year: 1951 Ex: 27.963389","Age: 48 ex_fr_female$Type: Predicted Year: 1952 Ex: 28.734994","Age: 48 ex_fr_female$Type: Predicted Year: 1953 Ex: 28.214433","Age: 48 ex_fr_female$Type: Predicted Year: 1954 Ex: 29.062726","Age: 48 ex_fr_female$Type: Predicted Year: 1955 Ex: 29.103331","Age: 48 ex_fr_female$Type: Predicted Year: 1956 Ex: 28.938440","Age: 48 ex_fr_female$Type: Predicted Year: 1957 Ex: 29.353289","Age: 48 ex_fr_female$Type: Predicted Year: 1958 Ex: 29.963134","Age: 48 ex_fr_female$Type: Predicted Year: 1959 Ex: 30.022886","Age: 48 ex_fr_female$Type: Predicted Year: 1960 Ex: 29.990932","Age: 48 ex_fr_female$Type: Predicted Year: 1961 Ex: 30.602823","Age: 48 ex_fr_female$Type: Predicted Year: 1962 Ex: 30.105023","Age: 48 ex_fr_female$Type: Predicted Year: 1963 Ex: 30.035610","Age: 48 ex_fr_female$Type: Predicted Year: 1964 Ex: 30.819221","Age: 48 ex_fr_female$Type: Predicted Year: 1965 Ex: 30.620688","Age: 48 ex_fr_female$Type: Predicted Year: 1966 Ex: 31.027140","Age: 48 ex_fr_female$Type: Predicted Year: 1967 Ex: 30.989447","Age: 48 ex_fr_female$Type: Predicted Year: 1968 Ex: 30.970591","Age: 48 ex_fr_female$Type: Predicted Year: 1969 Ex: 30.764518","Age: 48 ex_fr_female$Type: Predicted Year: 1970 Ex: 31.369956","Age: 48 ex_fr_female$Type: Predicted Year: 1971 Ex: 31.406283","Age: 48 ex_fr_female$Type: Predicted Year: 1972 Ex: 31.660881","Age: 48 ex_fr_female$Type: Predicted Year: 1973 Ex: 31.675093","Age: 48 ex_fr_female$Type: Predicted Year: 1974 Ex: 31.950244","Age: 48 ex_fr_female$Type: Predicted Year: 1975 Ex: 31.974379","Age: 48 ex_fr_female$Type: Predicted Year: 1976 Ex: 32.224295","Age: 48 ex_fr_female$Type: Predicted Year: 1977 Ex: 32.785766","Age: 48 ex_fr_female$Type: Predicted Year: 1978 Ex: 32.783878","Age: 48 ex_fr_female$Type: Predicted Year: 1979 Ex: 33.055053","Age: 48 ex_fr_female$Type: Predicted Year: 1980 Ex: 33.186527","Age: 48 ex_fr_female$Type: Predicted Year: 1981 Ex: 33.204518","Age: 48 ex_fr_female$Type: Predicted Year: 1982 Ex: 33.548139","Age: 48 ex_fr_female$Type: Predicted Year: 1983 Ex: 33.444837","Age: 48 ex_fr_female$Type: Predicted Year: 1984 Ex: 33.907073","Age: 48 ex_fr_female$Type: Predicted Year: 1985 Ex: 33.916116","Age: 48 ex_fr_female$Type: Predicted Year: 1986 Ex: 34.148475","Age: 48 ex_fr_female$Type: Predicted Year: 1987 Ex: 34.643561","Age: 48 ex_fr_female$Type: Predicted Year: 1988 Ex: 34.859310","Age: 48 ex_fr_female$Type: Predicted Year: 1989 Ex: 35.009475","Age: 48 ex_fr_female$Type: Predicted Year: 1990 Ex: 35.236388","Age: 48 ex_fr_female$Type: Predicted Year: 1991 Ex: 35.467970","Age: 48 ex_fr_female$Type: Predicted Year: 1992 Ex: 35.696856","Age: 48 ex_fr_female$Type: Predicted Year: 1993 Ex: 35.679661","Age: 48 ex_fr_female$Type: Predicted Year: 1994 Ex: 36.045215","Age: 48 ex_fr_female$Type: Predicted Year: 1995 Ex: 36.035292","Age: 48 ex_fr_female$Type: Predicted Year: 1996 Ex: 36.094519","Age: 48 ex_fr_female$Type: Predicted Year: 1997 Ex: 36.271228","Age: 48 ex_fr_female$Type: Predicted Year: 1998 Ex: 36.358061","Age: 48 ex_fr_female$Type: Predicted Year: 1999 Ex: 36.429319","Age: 48 ex_fr_female$Type: Predicted Year: 2000 Ex: 36.680540","Age: 48 ex_fr_female$Type: Predicted Year: 2001 Ex: 36.834913","Age: 48 ex_fr_female$Type: Predicted Year: 2002 Ex: 36.862935","Age: 48 ex_fr_female$Type: Predicted Year: 2003 Ex: 36.709603","Age: 48 ex_fr_female$Type: Predicted Year: 2004 Ex: 37.580305","Age: 48 ex_fr_female$Type: Predicted Year: 2005 Ex: 37.473256","Age: 48 ex_fr_female$Type: Predicted Year: 2006 Ex: 37.804392","Age: 48 ex_fr_female$Type: Predicted Year: 2007 Ex: 37.945932","Age: 48 ex_fr_female$Type: Predicted Year: 2008 Ex: 37.919734","Age: 48 ex_fr_female$Type: Predicted Year: 2009 Ex: 38.014308","Age: 48 ex_fr_female$Type: Predicted Year: 2010 Ex: 38.177087","Age: 48 ex_fr_female$Type: Predicted Year: 2011 Ex: 38.483741","Age: 48 ex_fr_female$Type: Predicted Year: 2012 Ex: 38.306795","Age: 48 ex_fr_female$Type: Predicted Year: 2013 Ex: 38.497934","Age: 48 ex_fr_female$Type: Predicted Year: 2014 Ex: 38.859525","Age: 48 ex_fr_female$Type: Predicted Year: 2015 Ex: 38.566758","Age: 48 ex_fr_female$Type: Predicted Year: 2016 Ex: 38.736316","Age: 48 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1926 Ex: 23.790000","Age: 49 ex_fr_female$Type: Observed Year: 1927 Ex: 24.120000","Age: 49 ex_fr_female$Type: Observed Year: 1928 Ex: 24.310000","Age: 49 ex_fr_female$Type: Observed Year: 1929 Ex: 23.390000","Age: 49 ex_fr_female$Type: Observed Year: 1930 Ex: 24.730000","Age: 49 ex_fr_female$Type: Observed Year: 1931 Ex: 24.180000","Age: 49 ex_fr_female$Type: Observed Year: 1932 Ex: 24.480000","Age: 49 ex_fr_female$Type: Observed Year: 1933 Ex: 24.430000","Age: 49 ex_fr_female$Type: Observed Year: 1934 Ex: 24.970000","Age: 49 ex_fr_female$Type: Observed Year: 1935 Ex: 24.520000","Age: 49 ex_fr_female$Type: Observed Year: 1936 Ex: 24.820000","Age: 49 ex_fr_female$Type: Observed Year: 1937 Ex: 25.130000","Age: 49 ex_fr_female$Type: Observed Year: 1938 Ex: 24.890000","Age: 49 ex_fr_female$Type: Observed Year: 1939 Ex: 24.890000","Age: 49 ex_fr_female$Type: Observed Year: 1940 Ex: 23.440000","Age: 49 ex_fr_female$Type: Observed Year: 1941 Ex: 24.530000","Age: 49 ex_fr_female$Type: Observed Year: 1942 Ex: 24.810000","Age: 49 ex_fr_female$Type: Observed Year: 1943 Ex: 25.050000","Age: 49 ex_fr_female$Type: Observed Year: 1944 Ex: 23.900000","Age: 49 ex_fr_female$Type: Observed Year: 1945 Ex: 25.340000","Age: 49 ex_fr_female$Type: Observed Year: 1946 Ex: 26.830000","Age: 49 ex_fr_female$Type: Observed Year: 1947 Ex: 27.140000","Age: 49 ex_fr_female$Type: Observed Year: 1948 Ex: 27.670000","Age: 49 ex_fr_female$Type: Observed Year: 1949 Ex: 26.590000","Age: 49 ex_fr_female$Type: Observed Year: 1950 Ex: 27.330000","Age: 49 ex_fr_female$Type: Observed Year: 1951 Ex: 26.850000","Age: 49 ex_fr_female$Type: Observed Year: 1952 Ex: 27.610000","Age: 49 ex_fr_female$Type: Observed Year: 1953 Ex: 27.090000","Age: 49 ex_fr_female$Type: Observed Year: 1954 Ex: 27.930000","Age: 49 ex_fr_female$Type: Observed Year: 1955 Ex: 27.980000","Age: 49 ex_fr_female$Type: Observed Year: 1956 Ex: 27.810000","Age: 49 ex_fr_female$Type: Observed Year: 1957 Ex: 28.210000","Age: 49 ex_fr_female$Type: Observed Year: 1958 Ex: 28.820000","Age: 49 ex_fr_female$Type: Observed Year: 1959 Ex: 28.870000","Age: 49 ex_fr_female$Type: Observed Year: 1960 Ex: 28.850000","Age: 49 ex_fr_female$Type: Observed Year: 1961 Ex: 29.460000","Age: 49 ex_fr_female$Type: Observed Year: 1962 Ex: 28.950000","Age: 49 ex_fr_female$Type: Observed Year: 1963 Ex: 28.880000","Age: 49 ex_fr_female$Type: Observed Year: 1964 Ex: 29.670000","Age: 49 ex_fr_female$Type: Observed Year: 1965 Ex: 29.470000","Age: 49 ex_fr_female$Type: Observed Year: 1966 Ex: 29.870000","Age: 49 ex_fr_female$Type: Observed Year: 1967 Ex: 29.840000","Age: 49 ex_fr_female$Type: Observed Year: 1968 Ex: 29.820000","Age: 49 ex_fr_female$Type: Observed Year: 1969 Ex: 29.610000","Age: 49 ex_fr_female$Type: Observed Year: 1970 Ex: 30.220000","Age: 49 ex_fr_female$Type: Observed Year: 1971 Ex: 30.250000","Age: 49 ex_fr_female$Type: Observed Year: 1972 Ex: 30.500000","Age: 49 ex_fr_female$Type: Observed Year: 1973 Ex: 30.520000","Age: 49 ex_fr_female$Type: Observed Year: 1974 Ex: 30.790000","Age: 49 ex_fr_female$Type: Observed Year: 1975 Ex: 30.820000","Age: 49 ex_fr_female$Type: Observed Year: 1976 Ex: 31.070000","Age: 49 ex_fr_female$Type: Observed Year: 1977 Ex: 31.630000","Age: 49 ex_fr_female$Type: Observed Year: 1978 Ex: 31.620000","Age: 49 ex_fr_female$Type: Observed Year: 1979 Ex: 31.890000","Age: 49 ex_fr_female$Type: Observed Year: 1980 Ex: 32.020000","Age: 49 ex_fr_female$Type: Observed Year: 1981 Ex: 32.040000","Age: 49 ex_fr_female$Type: Observed Year: 1982 Ex: 32.370000","Age: 49 ex_fr_female$Type: Observed Year: 1983 Ex: 32.270000","Age: 49 ex_fr_female$Type: Observed Year: 1984 Ex: 32.730000","Age: 49 ex_fr_female$Type: Observed Year: 1985 Ex: 32.740000","Age: 49 ex_fr_female$Type: Observed Year: 1986 Ex: 32.970000","Age: 49 ex_fr_female$Type: Observed Year: 1987 Ex: 33.470000","Age: 49 ex_fr_female$Type: Observed Year: 1988 Ex: 33.680000","Age: 49 ex_fr_female$Type: Observed Year: 1989 Ex: 33.830000","Age: 49 ex_fr_female$Type: Observed Year: 1990 Ex: 34.060000","Age: 49 ex_fr_female$Type: Observed Year: 1991 Ex: 34.290000","Age: 49 ex_fr_female$Type: Observed Year: 1992 Ex: 34.520000","Age: 49 ex_fr_female$Type: Observed Year: 1993 Ex: 34.500000","Age: 49 ex_fr_female$Type: Observed Year: 1994 Ex: 34.870000","Age: 49 ex_fr_female$Type: Observed Year: 1995 Ex: 34.860000","Age: 49 ex_fr_female$Type: Observed Year: 1996 Ex: 34.910000","Age: 49 ex_fr_female$Type: Observed Year: 1997 Ex: 35.090000","Age: 49 ex_fr_female$Type: Observed Year: 1998 Ex: 35.170000","Age: 49 ex_fr_female$Type: Observed Year: 1999 Ex: 35.250000","Age: 49 ex_fr_female$Type: Observed Year: 2000 Ex: 35.510000","Age: 49 ex_fr_female$Type: Observed Year: 2001 Ex: 35.660000","Age: 49 ex_fr_female$Type: Observed Year: 2002 Ex: 35.690000","Age: 49 ex_fr_female$Type: Observed Year: 2003 Ex: 35.530000","Age: 49 ex_fr_female$Type: Observed Year: 2004 Ex: 36.400000","Age: 49 ex_fr_female$Type: Observed Year: 2005 Ex: 36.300000","Age: 49 ex_fr_female$Type: Observed Year: 2006 Ex: 36.630000","Age: 49 ex_fr_female$Type: Observed Year: 2007 Ex: 36.770000","Age: 49 ex_fr_female$Type: Observed Year: 2008 Ex: 36.740000","Age: 49 ex_fr_female$Type: Observed Year: 2009 Ex: 36.830000","Age: 49 ex_fr_female$Type: Observed Year: 2010 Ex: 37.000000","Age: 49 ex_fr_female$Type: Observed Year: 2011 Ex: 37.300000","Age: 49 ex_fr_female$Type: Observed Year: 2012 Ex: 37.120000","Age: 49 ex_fr_female$Type: Observed Year: 2013 Ex: 37.310000","Age: 49 ex_fr_female$Type: Observed Year: 2014 Ex: 37.670000","Age: 49 ex_fr_female$Type: Observed Year: 2015 Ex: 37.380000","Age: 49 ex_fr_female$Type: Observed Year: 2016 Ex: 37.550000","Age: 49 ex_fr_female$Type: Observed Year: 2017 Ex: 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49 ex_fr_female$Type: Predicted Year: 1816 Ex: 20.833468","Age: 49 ex_fr_female$Type: Predicted Year: 1817 Ex: 20.837675","Age: 49 ex_fr_female$Type: Predicted Year: 1818 Ex: 20.877979","Age: 49 ex_fr_female$Type: Predicted Year: 1819 Ex: 21.032942","Age: 49 ex_fr_female$Type: Predicted Year: 1820 Ex: 20.624298","Age: 49 ex_fr_female$Type: Predicted Year: 1821 Ex: 21.675108","Age: 49 ex_fr_female$Type: Predicted Year: 1822 Ex: 21.716650","Age: 49 ex_fr_female$Type: Predicted Year: 1823 Ex: 21.855195","Age: 49 ex_fr_female$Type: Predicted Year: 1824 Ex: 22.015173","Age: 49 ex_fr_female$Type: Predicted Year: 1825 Ex: 21.564703","Age: 49 ex_fr_female$Type: Predicted Year: 1826 Ex: 21.062909","Age: 49 ex_fr_female$Type: Predicted Year: 1827 Ex: 21.321314","Age: 49 ex_fr_female$Type: Predicted Year: 1828 Ex: 21.053796","Age: 49 ex_fr_female$Type: Predicted Year: 1829 Ex: 20.939477","Age: 49 ex_fr_female$Type: Predicted Year: 1830 Ex: 20.977892","Age: 49 ex_fr_female$Type: Predicted Year: 1831 Ex: 21.388723","Age: 49 ex_fr_female$Type: Predicted Year: 1832 Ex: 19.082136","Age: 49 ex_fr_female$Type: Predicted Year: 1833 Ex: 21.288483","Age: 49 ex_fr_female$Type: Predicted Year: 1834 Ex: 20.691219","Age: 49 ex_fr_female$Type: Predicted Year: 1835 Ex: 21.307796","Age: 49 ex_fr_female$Type: Predicted Year: 1836 Ex: 21.870812","Age: 49 ex_fr_female$Type: Predicted Year: 1837 Ex: 20.082604","Age: 49 ex_fr_female$Type: Predicted Year: 1838 Ex: 21.276405","Age: 49 ex_fr_female$Type: Predicted Year: 1839 Ex: 21.876181","Age: 49 ex_fr_female$Type: Predicted Year: 1840 Ex: 21.272894","Age: 49 ex_fr_female$Type: Predicted Year: 1841 Ex: 22.034303","Age: 49 ex_fr_female$Type: Predicted Year: 1842 Ex: 21.387767","Age: 49 ex_fr_female$Type: Predicted Year: 1843 Ex: 21.821163","Age: 49 ex_fr_female$Type: Predicted Year: 1844 Ex: 21.925642","Age: 49 ex_fr_female$Type: Predicted Year: 1845 Ex: 22.276239","Age: 49 ex_fr_female$Type: Predicted Year: 1846 Ex: 21.892381","Age: 49 ex_fr_female$Type: Predicted Year: 1847 Ex: 20.798875","Age: 49 ex_fr_female$Type: Predicted Year: 1848 Ex: 21.133626","Age: 49 ex_fr_female$Type: Predicted Year: 1849 Ex: 19.896213","Age: 49 ex_fr_female$Type: Predicted Year: 1850 Ex: 21.919862","Age: 49 ex_fr_female$Type: Predicted Year: 1851 Ex: 21.770260","Age: 49 ex_fr_female$Type: Predicted Year: 1852 Ex: 21.737852","Age: 49 ex_fr_female$Type: Predicted Year: 1853 Ex: 21.542210","Age: 49 ex_fr_female$Type: Predicted Year: 1854 Ex: 19.517718","Age: 49 ex_fr_female$Type: Predicted Year: 1855 Ex: 20.570910","Age: 49 ex_fr_female$Type: Predicted Year: 1856 Ex: 21.836907","Age: 49 ex_fr_female$Type: Predicted Year: 1857 Ex: 21.326634","Age: 49 ex_fr_female$Type: Predicted Year: 1858 Ex: 20.780292","Age: 49 ex_fr_female$Type: Predicted Year: 1859 Ex: 20.942233","Age: 49 ex_fr_female$Type: Predicted Year: 1860 Ex: 21.983150","Age: 49 ex_fr_female$Type: Predicted Year: 1861 Ex: 21.919549","Age: 49 ex_fr_female$Type: Predicted Year: 1862 Ex: 22.098789","Age: 49 ex_fr_female$Type: Predicted Year: 1863 Ex: 21.873433","Age: 49 ex_fr_female$Type: Predicted Year: 1864 Ex: 21.585541","Age: 49 ex_fr_female$Type: Predicted Year: 1865 Ex: 21.361826","Age: 49 ex_fr_female$Type: Predicted Year: 1866 Ex: 21.488842","Age: 49 ex_fr_female$Type: Predicted Year: 1867 Ex: 21.722203","Age: 49 ex_fr_female$Type: Predicted Year: 1868 Ex: 21.565640","Age: 49 ex_fr_female$Type: Predicted Year: 1869 Ex: 21.703980","Age: 49 ex_fr_female$Type: Predicted Year: 1870 Ex: 20.384760","Age: 49 ex_fr_female$Type: Predicted Year: 1871 Ex: 19.392625","Age: 49 ex_fr_female$Type: Predicted Year: 1872 Ex: 22.647784","Age: 49 ex_fr_female$Type: Predicted Year: 1873 Ex: 22.032483","Age: 49 ex_fr_female$Type: Predicted Year: 1874 Ex: 22.433878","Age: 49 ex_fr_female$Type: Predicted Year: 1875 Ex: 21.712898","Age: 49 ex_fr_female$Type: Predicted Year: 1876 Ex: 22.206446","Age: 49 ex_fr_female$Type: Predicted Year: 1877 Ex: 22.573521","Age: 49 ex_fr_female$Type: Predicted Year: 1878 Ex: 22.106361","Age: 49 ex_fr_female$Type: Predicted Year: 1879 Ex: 21.852612","Age: 49 ex_fr_female$Type: Predicted Year: 1880 Ex: 22.137717","Age: 49 ex_fr_female$Type: Predicted Year: 1881 Ex: 22.543537","Age: 49 ex_fr_female$Type: Predicted Year: 1882 Ex: 22.477910","Age: 49 ex_fr_female$Type: Predicted Year: 1883 Ex: 22.427428","Age: 49 ex_fr_female$Type: Predicted Year: 1884 Ex: 22.512844","Age: 49 ex_fr_female$Type: Predicted Year: 1885 Ex: 22.523679","Age: 49 ex_fr_female$Type: Predicted Year: 1886 Ex: 22.398142","Age: 49 ex_fr_female$Type: Predicted Year: 1887 Ex: 22.330611","Age: 49 ex_fr_female$Type: Predicted Year: 1888 Ex: 22.467381","Age: 49 ex_fr_female$Type: Predicted Year: 1889 Ex: 22.850151","Age: 49 ex_fr_female$Type: Predicted Year: 1890 Ex: 21.896890","Age: 49 ex_fr_female$Type: Predicted Year: 1891 Ex: 21.648425","Age: 49 ex_fr_female$Type: Predicted Year: 1892 Ex: 21.852306","Age: 49 ex_fr_female$Type: Predicted Year: 1893 Ex: 21.983792","Age: 49 ex_fr_female$Type: Predicted Year: 1894 Ex: 22.539098","Age: 49 ex_fr_female$Type: Predicted Year: 1895 Ex: 22.095654","Age: 49 ex_fr_female$Type: Predicted Year: 1896 Ex: 22.983233","Age: 49 ex_fr_female$Type: Predicted Year: 1897 Ex: 23.328143","Age: 49 ex_fr_female$Type: Predicted Year: 1898 Ex: 22.604544","Age: 49 ex_fr_female$Type: Predicted Year: 1899 Ex: 22.616865","Age: 49 ex_fr_female$Type: Predicted Year: 1900 Ex: 21.867664","Age: 49 ex_fr_female$Type: Predicted Year: 1901 Ex: 22.736542","Age: 49 ex_fr_female$Type: Predicted Year: 1902 Ex: 23.026247","Age: 49 ex_fr_female$Type: Predicted Year: 1903 Ex: 23.070373","Age: 49 ex_fr_female$Type: Predicted Year: 1904 Ex: 23.042733","Age: 49 ex_fr_female$Type: Predicted Year: 1905 Ex: 22.750109","Age: 49 ex_fr_female$Type: Predicted Year: 1906 Ex: 22.821454","Age: 49 ex_fr_female$Type: Predicted Year: 1907 Ex: 22.388180","Age: 49 ex_fr_female$Type: Predicted Year: 1908 Ex: 23.035986","Age: 49 ex_fr_female$Type: Predicted Year: 1909 Ex: 22.592168","Age: 49 ex_fr_female$Type: Predicted Year: 1910 Ex: 23.468697","Age: 49 ex_fr_female$Type: Predicted Year: 1911 Ex: 22.904149","Age: 49 ex_fr_female$Type: Predicted Year: 1912 Ex: 23.607650","Age: 49 ex_fr_female$Type: Predicted Year: 1913 Ex: 23.635221","Age: 49 ex_fr_female$Type: Predicted Year: 1914 Ex: 22.977307","Age: 49 ex_fr_female$Type: Predicted Year: 1915 Ex: 23.041688","Age: 49 ex_fr_female$Type: Predicted Year: 1916 Ex: 23.324672","Age: 49 ex_fr_female$Type: Predicted Year: 1917 Ex: 23.172745","Age: 49 ex_fr_female$Type: Predicted Year: 1918 Ex: 22.509609","Age: 49 ex_fr_female$Type: Predicted Year: 1919 Ex: 23.263599","Age: 49 ex_fr_female$Type: Predicted Year: 1920 Ex: 24.242671","Age: 49 ex_fr_female$Type: Predicted Year: 1921 Ex: 24.113443","Age: 49 ex_fr_female$Type: Predicted Year: 1922 Ex: 23.704983","Age: 49 ex_fr_female$Type: Predicted Year: 1923 Ex: 24.379968","Age: 49 ex_fr_female$Type: Predicted Year: 1924 Ex: 24.076264","Age: 49 ex_fr_female$Type: Predicted Year: 1925 Ex: 23.949975","Age: 49 ex_fr_female$Type: Predicted Year: 1926 Ex: 24.063324","Age: 49 ex_fr_female$Type: Predicted Year: 1927 Ex: 24.386530","Age: 49 ex_fr_female$Type: Predicted Year: 1928 Ex: 24.581643","Age: 49 ex_fr_female$Type: Predicted Year: 1929 Ex: 23.662745","Age: 49 ex_fr_female$Type: Predicted Year: 1930 Ex: 25.004721","Age: 49 ex_fr_female$Type: Predicted Year: 1931 Ex: 24.445265","Age: 49 ex_fr_female$Type: Predicted Year: 1932 Ex: 24.743205","Age: 49 ex_fr_female$Type: Predicted Year: 1933 Ex: 24.700530","Age: 49 ex_fr_female$Type: Predicted Year: 1934 Ex: 25.240383","Age: 49 ex_fr_female$Type: Predicted Year: 1935 Ex: 24.786174","Age: 49 ex_fr_female$Type: Predicted Year: 1936 Ex: 25.091811","Age: 49 ex_fr_female$Type: Predicted Year: 1937 Ex: 25.397824","Age: 49 ex_fr_female$Type: Predicted Year: 1938 Ex: 25.162095","Age: 49 ex_fr_female$Type: Predicted Year: 1939 Ex: 25.152861","Age: 49 ex_fr_female$Type: Predicted Year: 1940 Ex: 23.701527","Age: 49 ex_fr_female$Type: Predicted Year: 1941 Ex: 24.798253","Age: 49 ex_fr_female$Type: Predicted Year: 1942 Ex: 25.072111","Age: 49 ex_fr_female$Type: Predicted Year: 1943 Ex: 25.319262","Age: 49 ex_fr_female$Type: Predicted Year: 1944 Ex: 24.169348","Age: 49 ex_fr_female$Type: Predicted Year: 1945 Ex: 25.605824","Age: 49 ex_fr_female$Type: Predicted Year: 1946 Ex: 27.096312","Age: 49 ex_fr_female$Type: Predicted Year: 1947 Ex: 27.406843","Age: 49 ex_fr_female$Type: Predicted Year: 1948 Ex: 27.941708","Age: 49 ex_fr_female$Type: Predicted Year: 1949 Ex: 26.858794","Age: 49 ex_fr_female$Type: Predicted Year: 1950 Ex: 27.592332","Age: 49 ex_fr_female$Type: Predicted Year: 1951 Ex: 27.114578","Age: 49 ex_fr_female$Type: Predicted Year: 1952 Ex: 27.871982","Age: 49 ex_fr_female$Type: Predicted Year: 1953 Ex: 27.357810","Age: 49 ex_fr_female$Type: Predicted Year: 1954 Ex: 28.194991","Age: 49 ex_fr_female$Type: Predicted Year: 1955 Ex: 28.240670","Age: 49 ex_fr_female$Type: Predicted Year: 1956 Ex: 28.073844","Age: 49 ex_fr_female$Type: Predicted Year: 1957 Ex: 28.474438","Age: 49 ex_fr_female$Type: Predicted Year: 1958 Ex: 29.085660","Age: 49 ex_fr_female$Type: Predicted Year: 1959 Ex: 29.134101","Age: 49 ex_fr_female$Type: Predicted Year: 1960 Ex: 29.109725","Age: 49 ex_fr_female$Type: Predicted Year: 1961 Ex: 29.719547","Age: 49 ex_fr_female$Type: Predicted Year: 1962 Ex: 29.217439","Age: 49 ex_fr_female$Type: Predicted Year: 1963 Ex: 29.148059","Age: 49 ex_fr_female$Type: Predicted Year: 1964 Ex: 29.931001","Age: 49 ex_fr_female$Type: Predicted Year: 1965 Ex: 29.731435","Age: 49 ex_fr_female$Type: Predicted Year: 1966 Ex: 30.135091","Age: 49 ex_fr_female$Type: Predicted Year: 1967 Ex: 30.101549","Age: 49 ex_fr_female$Type: Predicted Year: 1968 Ex: 30.086906","Age: 49 ex_fr_female$Type: Predicted Year: 1969 Ex: 29.877919","Age: 49 ex_fr_female$Type: Predicted Year: 1970 Ex: 30.479740","Age: 49 ex_fr_female$Type: Predicted Year: 1971 Ex: 30.516196","Age: 49 ex_fr_female$Type: Predicted Year: 1972 Ex: 30.765758","Age: 49 ex_fr_female$Type: Predicted Year: 1973 Ex: 30.778453","Age: 49 ex_fr_female$Type: Predicted Year: 1974 Ex: 31.053886","Age: 49 ex_fr_female$Type: Predicted Year: 1975 Ex: 31.081258","Age: 49 ex_fr_female$Type: Predicted Year: 1976 Ex: 31.329477","Age: 49 ex_fr_female$Type: Predicted Year: 1977 Ex: 31.889246","Age: 49 ex_fr_female$Type: Predicted Year: 1978 Ex: 31.884437","Age: 49 ex_fr_female$Type: Predicted Year: 1979 Ex: 32.150579","Age: 49 ex_fr_female$Type: Predicted Year: 1980 Ex: 32.283422","Age: 49 ex_fr_female$Type: Predicted Year: 1981 Ex: 32.299171","Age: 49 ex_fr_female$Type: Predicted Year: 1982 Ex: 32.635502","Age: 49 ex_fr_female$Type: Predicted Year: 1983 Ex: 32.530936","Age: 49 ex_fr_female$Type: Predicted Year: 1984 Ex: 32.995384","Age: 49 ex_fr_female$Type: Predicted Year: 1985 Ex: 32.998756","Age: 49 ex_fr_female$Type: Predicted Year: 1986 Ex: 33.232026","Age: 49 ex_fr_female$Type: Predicted Year: 1987 Ex: 33.729711","Age: 49 ex_fr_female$Type: Predicted Year: 1988 Ex: 33.938772","Age: 49 ex_fr_female$Type: Predicted Year: 1989 Ex: 34.088592","Age: 49 ex_fr_female$Type: Predicted Year: 1990 Ex: 34.314633","Age: 49 ex_fr_female$Type: Predicted Year: 1991 Ex: 34.546386","Age: 49 ex_fr_female$Type: Predicted Year: 1992 Ex: 34.779666","Age: 49 ex_fr_female$Type: Predicted Year: 1993 Ex: 34.758199","Age: 49 ex_fr_female$Type: Predicted Year: 1994 Ex: 35.128845","Age: 49 ex_fr_female$Type: Predicted Year: 1995 Ex: 35.114981","Age: 49 ex_fr_female$Type: Predicted Year: 1996 Ex: 35.169346","Age: 49 ex_fr_female$Type: Predicted Year: 1997 Ex: 35.350012","Age: 49 ex_fr_female$Type: Predicted Year: 1998 Ex: 35.432723","Age: 49 ex_fr_female$Type: Predicted Year: 1999 Ex: 35.509891","Age: 49 ex_fr_female$Type: Predicted Year: 2000 Ex: 35.764576","Age: 49 ex_fr_female$Type: Predicted Year: 2001 Ex: 35.913846","Age: 49 ex_fr_female$Type: Predicted Year: 2002 Ex: 35.943386","Age: 49 ex_fr_female$Type: Predicted Year: 2003 Ex: 35.788989","Age: 49 ex_fr_female$Type: Predicted Year: 2004 Ex: 36.658998","Age: 49 ex_fr_female$Type: Predicted Year: 2005 Ex: 36.552093","Age: 49 ex_fr_female$Type: Predicted Year: 2006 Ex: 36.883187","Age: 49 ex_fr_female$Type: Predicted Year: 2007 Ex: 37.024651","Age: 49 ex_fr_female$Type: Predicted Year: 2008 Ex: 36.993898","Age: 49 ex_fr_female$Type: Predicted Year: 2009 Ex: 37.087908","Age: 49 ex_fr_female$Type: Predicted Year: 2010 Ex: 37.252139","Age: 49 ex_fr_female$Type: Predicted Year: 2011 Ex: 37.552554","Age: 49 ex_fr_female$Type: Predicted Year: 2012 Ex: 37.378696","Age: 49 ex_fr_female$Type: Predicted Year: 2013 Ex: 37.566011","Age: 49 ex_fr_female$Type: Predicted Year: 2014 Ex: 37.929403","Age: 49 ex_fr_female$Type: Predicted Year: 2015 Ex: 37.636102","Age: 49 ex_fr_female$Type: Predicted Year: 2016 Ex: 37.800990","Age: 49 ex_fr_female$Type: Predicted Year: 2017 Ex: 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50 ex_fr_female$Type: Observed Year: 1816 Ex: 19.860000","Age: 50 ex_fr_female$Type: Observed Year: 1817 Ex: 19.890000","Age: 50 ex_fr_female$Type: Observed Year: 1818 Ex: 19.930000","Age: 50 ex_fr_female$Type: Observed Year: 1819 Ex: 20.090000","Age: 50 ex_fr_female$Type: Observed Year: 1820 Ex: 19.670000","Age: 50 ex_fr_female$Type: Observed Year: 1821 Ex: 20.700000","Age: 50 ex_fr_female$Type: Observed Year: 1822 Ex: 20.750000","Age: 50 ex_fr_female$Type: Observed Year: 1823 Ex: 20.890000","Age: 50 ex_fr_female$Type: Observed Year: 1824 Ex: 21.030000","Age: 50 ex_fr_female$Type: Observed Year: 1825 Ex: 20.610000","Age: 50 ex_fr_female$Type: Observed Year: 1826 Ex: 20.110000","Age: 50 ex_fr_female$Type: Observed Year: 1827 Ex: 20.360000","Age: 50 ex_fr_female$Type: Observed Year: 1828 Ex: 20.090000","Age: 50 ex_fr_female$Type: Observed Year: 1829 Ex: 19.960000","Age: 50 ex_fr_female$Type: Observed Year: 1830 Ex: 20.000000","Age: 50 ex_fr_female$Type: Observed Year: 1831 Ex: 20.410000","Age: 50 ex_fr_female$Type: Observed Year: 1832 Ex: 18.160000","Age: 50 ex_fr_female$Type: Observed Year: 1833 Ex: 20.320000","Age: 50 ex_fr_female$Type: Observed Year: 1834 Ex: 19.750000","Age: 50 ex_fr_female$Type: Observed Year: 1835 Ex: 20.340000","Age: 50 ex_fr_female$Type: Observed Year: 1836 Ex: 20.870000","Age: 50 ex_fr_female$Type: Observed Year: 1837 Ex: 19.110000","Age: 50 ex_fr_female$Type: Observed Year: 1838 Ex: 20.300000","Age: 50 ex_fr_female$Type: Observed Year: 1839 Ex: 20.890000","Age: 50 ex_fr_female$Type: Observed Year: 1840 Ex: 20.310000","Age: 50 ex_fr_female$Type: Observed Year: 1841 Ex: 21.060000","Age: 50 ex_fr_female$Type: Observed Year: 1842 Ex: 20.410000","Age: 50 ex_fr_female$Type: Observed Year: 1843 Ex: 20.830000","Age: 50 ex_fr_female$Type: Observed Year: 1844 Ex: 20.930000","Age: 50 ex_fr_female$Type: Observed Year: 1845 Ex: 21.280000","Age: 50 ex_fr_female$Type: Observed Year: 1846 Ex: 20.930000","Age: 50 ex_fr_female$Type: Observed Year: 1847 Ex: 19.830000","Age: 50 ex_fr_female$Type: Observed Year: 1848 Ex: 20.150000","Age: 50 ex_fr_female$Type: Observed Year: 1849 Ex: 18.970000","Age: 50 ex_fr_female$Type: Observed Year: 1850 Ex: 20.930000","Age: 50 ex_fr_female$Type: Observed Year: 1851 Ex: 20.790000","Age: 50 ex_fr_female$Type: Observed Year: 1852 Ex: 20.750000","Age: 50 ex_fr_female$Type: Observed Year: 1853 Ex: 20.550000","Age: 50 ex_fr_female$Type: Observed Year: 1854 Ex: 18.590000","Age: 50 ex_fr_female$Type: Observed Year: 1855 Ex: 19.600000","Age: 50 ex_fr_female$Type: Observed Year: 1856 Ex: 20.850000","Age: 50 ex_fr_female$Type: Observed Year: 1857 Ex: 20.350000","Age: 50 ex_fr_female$Type: Observed Year: 1858 Ex: 19.800000","Age: 50 ex_fr_female$Type: Observed Year: 1859 Ex: 19.970000","Age: 50 ex_fr_female$Type: Observed Year: 1860 Ex: 20.990000","Age: 50 ex_fr_female$Type: Observed Year: 1861 Ex: 20.930000","Age: 50 ex_fr_female$Type: Observed Year: 1862 Ex: 21.100000","Age: 50 ex_fr_female$Type: 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ex_fr_female$Type: Observed Year: 1879 Ex: 20.860000","Age: 50 ex_fr_female$Type: Observed Year: 1880 Ex: 21.150000","Age: 50 ex_fr_female$Type: Observed Year: 1881 Ex: 21.560000","Age: 50 ex_fr_female$Type: Observed Year: 1882 Ex: 21.500000","Age: 50 ex_fr_female$Type: Observed Year: 1883 Ex: 21.460000","Age: 50 ex_fr_female$Type: Observed Year: 1884 Ex: 21.530000","Age: 50 ex_fr_female$Type: Observed Year: 1885 Ex: 21.530000","Age: 50 ex_fr_female$Type: Observed Year: 1886 Ex: 21.410000","Age: 50 ex_fr_female$Type: Observed Year: 1887 Ex: 21.350000","Age: 50 ex_fr_female$Type: Observed Year: 1888 Ex: 21.450000","Age: 50 ex_fr_female$Type: Observed Year: 1889 Ex: 21.840000","Age: 50 ex_fr_female$Type: Observed Year: 1890 Ex: 20.880000","Age: 50 ex_fr_female$Type: Observed Year: 1891 Ex: 20.630000","Age: 50 ex_fr_female$Type: Observed Year: 1892 Ex: 20.840000","Age: 50 ex_fr_female$Type: Observed Year: 1893 Ex: 20.980000","Age: 50 ex_fr_female$Type: Observed Year: 1894 Ex: 21.530000","Age: 50 ex_fr_female$Type: Observed Year: 1895 Ex: 21.090000","Age: 50 ex_fr_female$Type: Observed Year: 1896 Ex: 21.980000","Age: 50 ex_fr_female$Type: Observed Year: 1897 Ex: 22.280000","Age: 50 ex_fr_female$Type: Observed Year: 1898 Ex: 21.580000","Age: 50 ex_fr_female$Type: Observed Year: 1899 Ex: 21.600000","Age: 50 ex_fr_female$Type: Observed Year: 1900 Ex: 20.860000","Age: 50 ex_fr_female$Type: Observed Year: 1901 Ex: 21.700000","Age: 50 ex_fr_female$Type: Observed Year: 1902 Ex: 22.000000","Age: 50 ex_fr_female$Type: Observed Year: 1903 Ex: 22.050000","Age: 50 ex_fr_female$Type: Observed Year: 1904 Ex: 22.000000","Age: 50 ex_fr_female$Type: Observed Year: 1905 Ex: 21.730000","Age: 50 ex_fr_female$Type: Observed Year: 1906 Ex: 21.810000","Age: 50 ex_fr_female$Type: Observed Year: 1907 Ex: 21.390000","Age: 50 ex_fr_female$Type: Observed Year: 1908 Ex: 22.030000","Age: 50 ex_fr_female$Type: Observed Year: 1909 Ex: 21.570000","Age: 50 ex_fr_female$Type: Observed Year: 1910 Ex: 22.450000","Age: 50 ex_fr_female$Type: Observed Year: 1911 Ex: 21.880000","Age: 50 ex_fr_female$Type: Observed Year: 1912 Ex: 22.590000","Age: 50 ex_fr_female$Type: Observed Year: 1913 Ex: 22.610000","Age: 50 ex_fr_female$Type: Observed Year: 1914 Ex: 21.960000","Age: 50 ex_fr_female$Type: Observed Year: 1915 Ex: 22.030000","Age: 50 ex_fr_female$Type: Observed Year: 1916 Ex: 22.290000","Age: 50 ex_fr_female$Type: Observed Year: 1917 Ex: 22.150000","Age: 50 ex_fr_female$Type: Observed Year: 1918 Ex: 21.550000","Age: 50 ex_fr_female$Type: Observed Year: 1919 Ex: 22.250000","Age: 50 ex_fr_female$Type: Observed Year: 1920 Ex: 23.200000","Age: 50 ex_fr_female$Type: Observed Year: 1921 Ex: 23.080000","Age: 50 ex_fr_female$Type: Observed Year: 1922 Ex: 22.680000","Age: 50 ex_fr_female$Type: Observed Year: 1923 Ex: 23.340000","Age: 50 ex_fr_female$Type: Observed Year: 1924 Ex: 23.050000","Age: 50 ex_fr_female$Type: Observed Year: 1925 Ex: 22.920000","Age: 50 ex_fr_female$Type: Observed Year: 1926 Ex: 23.030000","Age: 50 ex_fr_female$Type: Observed Year: 1927 Ex: 23.340000","Age: 50 ex_fr_female$Type: Observed Year: 1928 Ex: 23.520000","Age: 50 ex_fr_female$Type: Observed Year: 1929 Ex: 22.620000","Age: 50 ex_fr_female$Type: Observed Year: 1930 Ex: 23.950000","Age: 50 ex_fr_female$Type: Observed Year: 1931 Ex: 23.400000","Age: 50 ex_fr_female$Type: Observed Year: 1932 Ex: 23.700000","Age: 50 ex_fr_female$Type: Observed Year: 1933 Ex: 23.660000","Age: 50 ex_fr_female$Type: Observed Year: 1934 Ex: 24.200000","Age: 50 ex_fr_female$Type: Observed Year: 1935 Ex: 23.740000","Age: 50 ex_fr_female$Type: Observed Year: 1936 Ex: 24.040000","Age: 50 ex_fr_female$Type: Observed Year: 1937 Ex: 24.340000","Age: 50 ex_fr_female$Type: Observed Year: 1938 Ex: 24.110000","Age: 50 ex_fr_female$Type: Observed Year: 1939 Ex: 24.090000","Age: 50 ex_fr_female$Type: Observed Year: 1940 Ex: 22.660000","Age: 50 ex_fr_female$Type: Observed Year: 1941 Ex: 23.760000","Age: 50 ex_fr_female$Type: Observed Year: 1942 Ex: 24.010000","Age: 50 ex_fr_female$Type: Observed Year: 1943 Ex: 24.270000","Age: 50 ex_fr_female$Type: Observed Year: 1944 Ex: 23.150000","Age: 50 ex_fr_female$Type: Observed Year: 1945 Ex: 24.530000","Age: 50 ex_fr_female$Type: Observed Year: 1946 Ex: 25.980000","Age: 50 ex_fr_female$Type: Observed Year: 1947 Ex: 26.290000","Age: 50 ex_fr_female$Type: Observed Year: 1948 Ex: 26.830000","Age: 50 ex_fr_female$Type: Observed Year: 1949 Ex: 25.740000","Age: 50 ex_fr_female$Type: Observed Year: 1950 Ex: 26.470000","Age: 50 ex_fr_female$Type: Observed Year: 1951 Ex: 26.000000","Age: 50 ex_fr_female$Type: Observed Year: 1952 Ex: 26.750000","Age: 50 ex_fr_female$Type: Observed Year: 1953 Ex: 26.240000","Age: 50 ex_fr_female$Type: Observed Year: 1954 Ex: 27.080000","Age: 50 ex_fr_female$Type: Observed Year: 1955 Ex: 27.120000","Age: 50 ex_fr_female$Type: Observed Year: 1956 Ex: 26.950000","Age: 50 ex_fr_female$Type: Observed Year: 1957 Ex: 27.350000","Age: 50 ex_fr_female$Type: Observed Year: 1958 Ex: 27.940000","Age: 50 ex_fr_female$Type: Observed Year: 1959 Ex: 27.990000","Age: 50 ex_fr_female$Type: Observed Year: 1960 Ex: 27.970000","Age: 50 ex_fr_female$Type: Observed Year: 1961 Ex: 28.570000","Age: 50 ex_fr_female$Type: Observed Year: 1962 Ex: 28.070000","Age: 50 ex_fr_female$Type: Observed Year: 1963 Ex: 28.000000","Age: 50 ex_fr_female$Type: Observed Year: 1964 Ex: 28.780000","Age: 50 ex_fr_female$Type: Observed Year: 1965 Ex: 28.600000","Age: 50 ex_fr_female$Type: Observed Year: 1966 Ex: 28.990000","Age: 50 ex_fr_female$Type: Observed Year: 1967 Ex: 28.950000","Age: 50 ex_fr_female$Type: Observed Year: 1968 Ex: 28.940000","Age: 50 ex_fr_female$Type: Observed Year: 1969 Ex: 28.740000","Age: 50 ex_fr_female$Type: Observed Year: 1970 Ex: 29.340000","Age: 50 ex_fr_female$Type: Observed Year: 1971 Ex: 29.370000","Age: 50 ex_fr_female$Type: Observed Year: 1972 Ex: 29.620000","Age: 50 ex_fr_female$Type: Observed Year: 1973 Ex: 29.620000","Age: 50 ex_fr_female$Type: Observed Year: 1974 Ex: 29.900000","Age: 50 ex_fr_female$Type: Observed Year: 1975 Ex: 29.930000","Age: 50 ex_fr_female$Type: Observed Year: 1976 Ex: 30.170000","Age: 50 ex_fr_female$Type: Observed Year: 1977 Ex: 30.730000","Age: 50 ex_fr_female$Type: Observed Year: 1978 Ex: 30.730000","Age: 50 ex_fr_female$Type: Observed Year: 1979 Ex: 30.990000","Age: 50 ex_fr_female$Type: Observed Year: 1980 Ex: 31.120000","Age: 50 ex_fr_female$Type: Observed Year: 1981 Ex: 31.130000","Age: 50 ex_fr_female$Type: Observed Year: 1982 Ex: 31.470000","Age: 50 ex_fr_female$Type: Observed Year: 1983 Ex: 31.370000","Age: 50 ex_fr_female$Type: Observed Year: 1984 Ex: 31.830000","Age: 50 ex_fr_female$Type: Observed Year: 1985 Ex: 31.830000","Age: 50 ex_fr_female$Type: Observed Year: 1986 Ex: 32.060000","Age: 50 ex_fr_female$Type: Observed Year: 1987 Ex: 32.550000","Age: 50 ex_fr_female$Type: Observed Year: 1988 Ex: 32.760000","Age: 50 ex_fr_female$Type: Observed Year: 1989 Ex: 32.920000","Age: 50 ex_fr_female$Type: Observed Year: 1990 Ex: 33.140000","Age: 50 ex_fr_female$Type: Observed Year: 1991 Ex: 33.370000","Age: 50 ex_fr_female$Type: Observed Year: 1992 Ex: 33.600000","Age: 50 ex_fr_female$Type: Observed Year: 1993 Ex: 33.590000","Age: 50 ex_fr_female$Type: Observed Year: 1994 Ex: 33.960000","Age: 50 ex_fr_female$Type: Observed Year: 1995 Ex: 33.940000","Age: 50 ex_fr_female$Type: Observed Year: 1996 Ex: 34.000000","Age: 50 ex_fr_female$Type: Observed Year: 1997 Ex: 34.170000","Age: 50 ex_fr_female$Type: Observed Year: 1998 Ex: 34.250000","Age: 50 ex_fr_female$Type: Observed Year: 1999 Ex: 34.330000","Age: 50 ex_fr_female$Type: Observed Year: 2000 Ex: 34.590000","Age: 50 ex_fr_female$Type: Observed Year: 2001 Ex: 34.740000","Age: 50 ex_fr_female$Type: Observed Year: 2002 Ex: 34.780000","Age: 50 ex_fr_female$Type: Observed Year: 2003 Ex: 34.620000","Age: 50 ex_fr_female$Type: Observed Year: 2004 Ex: 35.480000","Age: 50 ex_fr_female$Type: Observed Year: 2005 Ex: 35.380000","Age: 50 ex_fr_female$Type: Observed Year: 2006 Ex: 35.710000","Age: 50 ex_fr_female$Type: Observed Year: 2007 Ex: 35.850000","Age: 50 ex_fr_female$Type: Observed Year: 2008 Ex: 35.820000","Age: 50 ex_fr_female$Type: Observed Year: 2009 Ex: 35.910000","Age: 50 ex_fr_female$Type: Observed Year: 2010 Ex: 36.070000","Age: 50 ex_fr_female$Type: Observed Year: 2011 Ex: 36.370000","Age: 50 ex_fr_female$Type: Observed Year: 2012 Ex: 36.190000","Age: 50 ex_fr_female$Type: Observed Year: 2013 Ex: 36.380000","Age: 50 ex_fr_female$Type: Observed Year: 2014 Ex: 36.740000","Age: 50 ex_fr_female$Type: Observed Year: 2015 Ex: 36.450000","Age: 50 ex_fr_female$Type: Observed Year: 2016 Ex: 36.620000","Age: 50 ex_fr_female$Type: Observed Year: 2017 Ex: 36.560000"],"frame":"50","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[20.1537837987395,20.1822426933462,20.2242650006045,20.3852037321902,19.9656597067973,20.9970700053757,21.0420437291203,21.1766426745558,21.325492306743,20.902530199268,20.4016747862151,20.6516412453828,20.3802961649673,20.2514983804373,20.2900844629792,20.694245113167,18.4651175683988,20.6136431713594,20.0409040904784,20.6279758241699,21.158029928698,19.3978553721183,20.5887183263177,21.1844956146956,20.5999206059349,21.3499230131935,20.7017551871034,21.1206826453432,21.2142481150094,21.5649334528157,21.2150402661671,20.1205017524434,20.4416988198638,19.2599737684731,21.2181612896357,21.0729469110616,21.0379240809474,20.8305571475442,18.8792248824257,19.88301153998,21.1323199776219,20.6361087982872,20.0878248833906,20.2569950857811,21.2692643973495,21.2139348745431,21.3866629431178,21.1557042375157,20.8674291761707,20.6500276497167,20.7864603534362,21.0005421737809,20.8564434778486,20.9915340975836,19.7073007355679,18.7903005522988,21.9378137500618,21.3218737108059,21.7199946256466,21.0042288526385,21.4964144524446,21.8628015730262,21.3910518881303,21.1374210112435,21.432030924903,21.8386782526003,21.781974937248,21.733018060966,21.8073512261919,21.8089596816335,21.6846802738238,21.6255565180081,21.732135850791,22.1165786537828,21.1608340807669,20.9082329111147,21.1169968434206,21.2575094474203,21.8073947639235,21.3622687820172,22.258301750218,22.5612612651661,21.853062051773,21.8769308072184,21.1377377371543,21.9806980691496,22.2801895436861,22.3293785434833,22.2777199117995,22.0016134210353,22.0803126682972,21.6630594586954,22.3018928446273,21.8501551982984,22.7222859776764,22.1546757315234,22.8620713067832,22.8859698029386,22.2352447871849,22.3008204844047,22.5623665879277,22.417335439201,21.8225947584961,22.5252823755555,23.4740971185812,23.3521948599171,22.9539077892855,23.6091159769633,23.3236922188671,23.189916804169,23.3051400969504,23.6111592764925,23.7947409932321,22.8908578899864,24.2205734994031,23.6689959036947,23.9684967565801,23.9239591768659,24.4655504550983,24.0108848665376,24.3111600523326,24.6113627280924,24.3818225019915,24.3595753628611,22.9220565795693,24.0220947392116,24.2761664907805,24.5343805843284,23.4201444357131,24.7968504660793,26.2504841049883,26.5590272497665,27.1029886098997,26.0123847961614,26.7373919455454,26.2624324680566,27.0160635677912,26.504314653006,27.3407726601695,27.3839028499798,27.2131672957047,27.6101630507185,28.2062596513699,28.2577804548654,28.2332989191748,28.8360725847481,28.3371523430373,28.2648946809921,29.0463017597187,28.8600428725183,29.2505964108054,29.2190038054294,29.2001437712891,29.0003863269688,29.6020058632422,29.6316795354123,29.8809870349539,29.888260116041,30.1616252858346,30.1924700550426,30.4363315979862,30.9907970312127,30.9913257142267,31.25392828076,31.3836981030322,31.3934357288887,31.7336645589003,31.6274942267105,32.0874765332149,32.092161318038,32.3185531449486,32.8142219606974,33.0248200078672,33.1783933504084,33.3948687166627,33.6309255898517,33.8630667439535,33.8466992020819,34.2172607974899,34.2002382748301,34.256475150316,34.431656338952,34.5124607494756,34.591207947683,34.847899087147,34.9978761796824,35.033171602275,34.8741379971946,35.7379110347261,35.6361923086099,35.9669651280311,36.1047274145326,36.0750048182187,36.1681232132368,36.330136273696,36.6297031102348,36.4499410203403,36.636875081015,36.9983366633078,36.7011472161037,36.8715558298597,36.8124082265587],"text":["Age: 50 ex_fr_female$Type: Predicted Year: 1816 Ex: 20.153784","Age: 50 ex_fr_female$Type: Predicted Year: 1817 Ex: 20.182243","Age: 50 ex_fr_female$Type: Predicted Year: 1818 Ex: 20.224265","Age: 50 ex_fr_female$Type: Predicted Year: 1819 Ex: 20.385204","Age: 50 ex_fr_female$Type: Predicted Year: 1820 Ex: 19.965660","Age: 50 ex_fr_female$Type: Predicted Year: 1821 Ex: 20.997070","Age: 50 ex_fr_female$Type: Predicted Year: 1822 Ex: 21.042044","Age: 50 ex_fr_female$Type: Predicted Year: 1823 Ex: 21.176643","Age: 50 ex_fr_female$Type: Predicted Year: 1824 Ex: 21.325492","Age: 50 ex_fr_female$Type: Predicted Year: 1825 Ex: 20.902530","Age: 50 ex_fr_female$Type: Predicted Year: 1826 Ex: 20.401675","Age: 50 ex_fr_female$Type: Predicted Year: 1827 Ex: 20.651641","Age: 50 ex_fr_female$Type: Predicted Year: 1828 Ex: 20.380296","Age: 50 ex_fr_female$Type: Predicted Year: 1829 Ex: 20.251498","Age: 50 ex_fr_female$Type: Predicted Year: 1830 Ex: 20.290084","Age: 50 ex_fr_female$Type: Predicted Year: 1831 Ex: 20.694245","Age: 50 ex_fr_female$Type: Predicted Year: 1832 Ex: 18.465118","Age: 50 ex_fr_female$Type: Predicted Year: 1833 Ex: 20.613643","Age: 50 ex_fr_female$Type: Predicted Year: 1834 Ex: 20.040904","Age: 50 ex_fr_female$Type: Predicted Year: 1835 Ex: 20.627976","Age: 50 ex_fr_female$Type: Predicted Year: 1836 Ex: 21.158030","Age: 50 ex_fr_female$Type: Predicted Year: 1837 Ex: 19.397855","Age: 50 ex_fr_female$Type: Predicted Year: 1838 Ex: 20.588718","Age: 50 ex_fr_female$Type: Predicted Year: 1839 Ex: 21.184496","Age: 50 ex_fr_female$Type: Predicted Year: 1840 Ex: 20.599921","Age: 50 ex_fr_female$Type: Predicted Year: 1841 Ex: 21.349923","Age: 50 ex_fr_female$Type: Predicted Year: 1842 Ex: 20.701755","Age: 50 ex_fr_female$Type: Predicted Year: 1843 Ex: 21.120683","Age: 50 ex_fr_female$Type: Predicted Year: 1844 Ex: 21.214248","Age: 50 ex_fr_female$Type: Predicted Year: 1845 Ex: 21.564933","Age: 50 ex_fr_female$Type: Predicted Year: 1846 Ex: 21.215040","Age: 50 ex_fr_female$Type: Predicted Year: 1847 Ex: 20.120502","Age: 50 ex_fr_female$Type: Predicted Year: 1848 Ex: 20.441699","Age: 50 ex_fr_female$Type: Predicted Year: 1849 Ex: 19.259974","Age: 50 ex_fr_female$Type: Predicted Year: 1850 Ex: 21.218161","Age: 50 ex_fr_female$Type: Predicted Year: 1851 Ex: 21.072947","Age: 50 ex_fr_female$Type: Predicted Year: 1852 Ex: 21.037924","Age: 50 ex_fr_female$Type: Predicted Year: 1853 Ex: 20.830557","Age: 50 ex_fr_female$Type: Predicted Year: 1854 Ex: 18.879225","Age: 50 ex_fr_female$Type: Predicted Year: 1855 Ex: 19.883012","Age: 50 ex_fr_female$Type: Predicted Year: 1856 Ex: 21.132320","Age: 50 ex_fr_female$Type: Predicted Year: 1857 Ex: 20.636109","Age: 50 ex_fr_female$Type: Predicted Year: 1858 Ex: 20.087825","Age: 50 ex_fr_female$Type: Predicted Year: 1859 Ex: 20.256995","Age: 50 ex_fr_female$Type: Predicted Year: 1860 Ex: 21.269264","Age: 50 ex_fr_female$Type: Predicted Year: 1861 Ex: 21.213935","Age: 50 ex_fr_female$Type: Predicted Year: 1862 Ex: 21.386663","Age: 50 ex_fr_female$Type: Predicted Year: 1863 Ex: 21.155704","Age: 50 ex_fr_female$Type: Predicted Year: 1864 Ex: 20.867429","Age: 50 ex_fr_female$Type: Predicted Year: 1865 Ex: 20.650028","Age: 50 ex_fr_female$Type: Predicted Year: 1866 Ex: 20.786460","Age: 50 ex_fr_female$Type: Predicted Year: 1867 Ex: 21.000542","Age: 50 ex_fr_female$Type: Predicted Year: 1868 Ex: 20.856443","Age: 50 ex_fr_female$Type: Predicted Year: 1869 Ex: 20.991534","Age: 50 ex_fr_female$Type: Predicted Year: 1870 Ex: 19.707301","Age: 50 ex_fr_female$Type: Predicted Year: 1871 Ex: 18.790301","Age: 50 ex_fr_female$Type: Predicted Year: 1872 Ex: 21.937814","Age: 50 ex_fr_female$Type: Predicted Year: 1873 Ex: 21.321874","Age: 50 ex_fr_female$Type: Predicted Year: 1874 Ex: 21.719995","Age: 50 ex_fr_female$Type: Predicted Year: 1875 Ex: 21.004229","Age: 50 ex_fr_female$Type: Predicted Year: 1876 Ex: 21.496414","Age: 50 ex_fr_female$Type: Predicted Year: 1877 Ex: 21.862802","Age: 50 ex_fr_female$Type: Predicted Year: 1878 Ex: 21.391052","Age: 50 ex_fr_female$Type: Predicted Year: 1879 Ex: 21.137421","Age: 50 ex_fr_female$Type: Predicted Year: 1880 Ex: 21.432031","Age: 50 ex_fr_female$Type: Predicted Year: 1881 Ex: 21.838678","Age: 50 ex_fr_female$Type: Predicted Year: 1882 Ex: 21.781975","Age: 50 ex_fr_female$Type: Predicted Year: 1883 Ex: 21.733018","Age: 50 ex_fr_female$Type: Predicted Year: 1884 Ex: 21.807351","Age: 50 ex_fr_female$Type: Predicted Year: 1885 Ex: 21.808960","Age: 50 ex_fr_female$Type: Predicted Year: 1886 Ex: 21.684680","Age: 50 ex_fr_female$Type: Predicted Year: 1887 Ex: 21.625557","Age: 50 ex_fr_female$Type: Predicted Year: 1888 Ex: 21.732136","Age: 50 ex_fr_female$Type: Predicted Year: 1889 Ex: 22.116579","Age: 50 ex_fr_female$Type: Predicted Year: 1890 Ex: 21.160834","Age: 50 ex_fr_female$Type: Predicted Year: 1891 Ex: 20.908233","Age: 50 ex_fr_female$Type: Predicted Year: 1892 Ex: 21.116997","Age: 50 ex_fr_female$Type: Predicted Year: 1893 Ex: 21.257509","Age: 50 ex_fr_female$Type: Predicted Year: 1894 Ex: 21.807395","Age: 50 ex_fr_female$Type: Predicted Year: 1895 Ex: 21.362269","Age: 50 ex_fr_female$Type: Predicted Year: 1896 Ex: 22.258302","Age: 50 ex_fr_female$Type: Predicted Year: 1897 Ex: 22.561261","Age: 50 ex_fr_female$Type: Predicted Year: 1898 Ex: 21.853062","Age: 50 ex_fr_female$Type: Predicted Year: 1899 Ex: 21.876931","Age: 50 ex_fr_female$Type: Predicted Year: 1900 Ex: 21.137738","Age: 50 ex_fr_female$Type: Predicted Year: 1901 Ex: 21.980698","Age: 50 ex_fr_female$Type: Predicted Year: 1902 Ex: 22.280190","Age: 50 ex_fr_female$Type: Predicted Year: 1903 Ex: 22.329379","Age: 50 ex_fr_female$Type: Predicted Year: 1904 Ex: 22.277720","Age: 50 ex_fr_female$Type: Predicted Year: 1905 Ex: 22.001613","Age: 50 ex_fr_female$Type: Predicted Year: 1906 Ex: 22.080313","Age: 50 ex_fr_female$Type: Predicted Year: 1907 Ex: 21.663059","Age: 50 ex_fr_female$Type: Predicted Year: 1908 Ex: 22.301893","Age: 50 ex_fr_female$Type: Predicted Year: 1909 Ex: 21.850155","Age: 50 ex_fr_female$Type: Predicted Year: 1910 Ex: 22.722286","Age: 50 ex_fr_female$Type: Predicted Year: 1911 Ex: 22.154676","Age: 50 ex_fr_female$Type: Predicted Year: 1912 Ex: 22.862071","Age: 50 ex_fr_female$Type: Predicted Year: 1913 Ex: 22.885970","Age: 50 ex_fr_female$Type: Predicted Year: 1914 Ex: 22.235245","Age: 50 ex_fr_female$Type: Predicted Year: 1915 Ex: 22.300820","Age: 50 ex_fr_female$Type: Predicted Year: 1916 Ex: 22.562367","Age: 50 ex_fr_female$Type: Predicted Year: 1917 Ex: 22.417335","Age: 50 ex_fr_female$Type: Predicted Year: 1918 Ex: 21.822595","Age: 50 ex_fr_female$Type: Predicted Year: 1919 Ex: 22.525282","Age: 50 ex_fr_female$Type: Predicted Year: 1920 Ex: 23.474097","Age: 50 ex_fr_female$Type: Predicted Year: 1921 Ex: 23.352195","Age: 50 ex_fr_female$Type: Predicted Year: 1922 Ex: 22.953908","Age: 50 ex_fr_female$Type: Predicted Year: 1923 Ex: 23.609116","Age: 50 ex_fr_female$Type: Predicted Year: 1924 Ex: 23.323692","Age: 50 ex_fr_female$Type: Predicted Year: 1925 Ex: 23.189917","Age: 50 ex_fr_female$Type: Predicted Year: 1926 Ex: 23.305140","Age: 50 ex_fr_female$Type: Predicted Year: 1927 Ex: 23.611159","Age: 50 ex_fr_female$Type: Predicted Year: 1928 Ex: 23.794741","Age: 50 ex_fr_female$Type: Predicted Year: 1929 Ex: 22.890858","Age: 50 ex_fr_female$Type: Predicted Year: 1930 Ex: 24.220573","Age: 50 ex_fr_female$Type: Predicted Year: 1931 Ex: 23.668996","Age: 50 ex_fr_female$Type: Predicted Year: 1932 Ex: 23.968497","Age: 50 ex_fr_female$Type: Predicted Year: 1933 Ex: 23.923959","Age: 50 ex_fr_female$Type: Predicted Year: 1934 Ex: 24.465550","Age: 50 ex_fr_female$Type: Predicted Year: 1935 Ex: 24.010885","Age: 50 ex_fr_female$Type: Predicted Year: 1936 Ex: 24.311160","Age: 50 ex_fr_female$Type: Predicted Year: 1937 Ex: 24.611363","Age: 50 ex_fr_female$Type: Predicted Year: 1938 Ex: 24.381823","Age: 50 ex_fr_female$Type: Predicted Year: 1939 Ex: 24.359575","Age: 50 ex_fr_female$Type: Predicted Year: 1940 Ex: 22.922057","Age: 50 ex_fr_female$Type: Predicted Year: 1941 Ex: 24.022095","Age: 50 ex_fr_female$Type: Predicted Year: 1942 Ex: 24.276166","Age: 50 ex_fr_female$Type: Predicted Year: 1943 Ex: 24.534381","Age: 50 ex_fr_female$Type: Predicted Year: 1944 Ex: 23.420144","Age: 50 ex_fr_female$Type: Predicted Year: 1945 Ex: 24.796850","Age: 50 ex_fr_female$Type: Predicted Year: 1946 Ex: 26.250484","Age: 50 ex_fr_female$Type: Predicted Year: 1947 Ex: 26.559027","Age: 50 ex_fr_female$Type: Predicted Year: 1948 Ex: 27.102989","Age: 50 ex_fr_female$Type: Predicted Year: 1949 Ex: 26.012385","Age: 50 ex_fr_female$Type: Predicted Year: 1950 Ex: 26.737392","Age: 50 ex_fr_female$Type: Predicted Year: 1951 Ex: 26.262432","Age: 50 ex_fr_female$Type: Predicted Year: 1952 Ex: 27.016064","Age: 50 ex_fr_female$Type: Predicted Year: 1953 Ex: 26.504315","Age: 50 ex_fr_female$Type: Predicted Year: 1954 Ex: 27.340773","Age: 50 ex_fr_female$Type: Predicted Year: 1955 Ex: 27.383903","Age: 50 ex_fr_female$Type: Predicted Year: 1956 Ex: 27.213167","Age: 50 ex_fr_female$Type: Predicted Year: 1957 Ex: 27.610163","Age: 50 ex_fr_female$Type: Predicted Year: 1958 Ex: 28.206260","Age: 50 ex_fr_female$Type: Predicted Year: 1959 Ex: 28.257780","Age: 50 ex_fr_female$Type: Predicted Year: 1960 Ex: 28.233299","Age: 50 ex_fr_female$Type: Predicted Year: 1961 Ex: 28.836073","Age: 50 ex_fr_female$Type: Predicted Year: 1962 Ex: 28.337152","Age: 50 ex_fr_female$Type: Predicted Year: 1963 Ex: 28.264895","Age: 50 ex_fr_female$Type: Predicted Year: 1964 Ex: 29.046302","Age: 50 ex_fr_female$Type: Predicted Year: 1965 Ex: 28.860043","Age: 50 ex_fr_female$Type: Predicted Year: 1966 Ex: 29.250596","Age: 50 ex_fr_female$Type: Predicted Year: 1967 Ex: 29.219004","Age: 50 ex_fr_female$Type: Predicted Year: 1968 Ex: 29.200144","Age: 50 ex_fr_female$Type: Predicted Year: 1969 Ex: 29.000386","Age: 50 ex_fr_female$Type: Predicted Year: 1970 Ex: 29.602006","Age: 50 ex_fr_female$Type: Predicted Year: 1971 Ex: 29.631680","Age: 50 ex_fr_female$Type: Predicted Year: 1972 Ex: 29.880987","Age: 50 ex_fr_female$Type: Predicted Year: 1973 Ex: 29.888260","Age: 50 ex_fr_female$Type: Predicted Year: 1974 Ex: 30.161625","Age: 50 ex_fr_female$Type: Predicted Year: 1975 Ex: 30.192470","Age: 50 ex_fr_female$Type: Predicted Year: 1976 Ex: 30.436332","Age: 50 ex_fr_female$Type: Predicted Year: 1977 Ex: 30.990797","Age: 50 ex_fr_female$Type: Predicted Year: 1978 Ex: 30.991326","Age: 50 ex_fr_female$Type: Predicted Year: 1979 Ex: 31.253928","Age: 50 ex_fr_female$Type: Predicted Year: 1980 Ex: 31.383698","Age: 50 ex_fr_female$Type: Predicted Year: 1981 Ex: 31.393436","Age: 50 ex_fr_female$Type: Predicted Year: 1982 Ex: 31.733665","Age: 50 ex_fr_female$Type: Predicted Year: 1983 Ex: 31.627494","Age: 50 ex_fr_female$Type: Predicted Year: 1984 Ex: 32.087477","Age: 50 ex_fr_female$Type: Predicted Year: 1985 Ex: 32.092161","Age: 50 ex_fr_female$Type: Predicted Year: 1986 Ex: 32.318553","Age: 50 ex_fr_female$Type: Predicted Year: 1987 Ex: 32.814222","Age: 50 ex_fr_female$Type: Predicted Year: 1988 Ex: 33.024820","Age: 50 ex_fr_female$Type: Predicted Year: 1989 Ex: 33.178393","Age: 50 ex_fr_female$Type: Predicted Year: 1990 Ex: 33.394869","Age: 50 ex_fr_female$Type: Predicted Year: 1991 Ex: 33.630926","Age: 50 ex_fr_female$Type: Predicted Year: 1992 Ex: 33.863067","Age: 50 ex_fr_female$Type: Predicted Year: 1993 Ex: 33.846699","Age: 50 ex_fr_female$Type: Predicted Year: 1994 Ex: 34.217261","Age: 50 ex_fr_female$Type: Predicted Year: 1995 Ex: 34.200238","Age: 50 ex_fr_female$Type: Predicted Year: 1996 Ex: 34.256475","Age: 50 ex_fr_female$Type: Predicted Year: 1997 Ex: 34.431656","Age: 50 ex_fr_female$Type: Predicted Year: 1998 Ex: 34.512461","Age: 50 ex_fr_female$Type: Predicted Year: 1999 Ex: 34.591208","Age: 50 ex_fr_female$Type: Predicted Year: 2000 Ex: 34.847899","Age: 50 ex_fr_female$Type: Predicted Year: 2001 Ex: 34.997876","Age: 50 ex_fr_female$Type: Predicted Year: 2002 Ex: 35.033172","Age: 50 ex_fr_female$Type: Predicted Year: 2003 Ex: 34.874138","Age: 50 ex_fr_female$Type: Predicted Year: 2004 Ex: 35.737911","Age: 50 ex_fr_female$Type: Predicted Year: 2005 Ex: 35.636192","Age: 50 ex_fr_female$Type: Predicted Year: 2006 Ex: 35.966965","Age: 50 ex_fr_female$Type: Predicted Year: 2007 Ex: 36.104727","Age: 50 ex_fr_female$Type: Predicted Year: 2008 Ex: 36.075005","Age: 50 ex_fr_female$Type: Predicted Year: 2009 Ex: 36.168123","Age: 50 ex_fr_female$Type: Predicted Year: 2010 Ex: 36.330136","Age: 50 ex_fr_female$Type: Predicted Year: 2011 Ex: 36.629703","Age: 50 ex_fr_female$Type: Predicted Year: 2012 Ex: 36.449941","Age: 50 ex_fr_female$Type: Predicted Year: 2013 Ex: 36.636875","Age: 50 ex_fr_female$Type: Predicted Year: 2014 Ex: 36.998337","Age: 50 ex_fr_female$Type: Predicted Year: 2015 Ex: 36.701147","Age: 50 ex_fr_female$Type: Predicted Year: 2016 Ex: 36.871556","Age: 50 ex_fr_female$Type: Predicted Year: 2017 Ex: 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20.800000","Age: 51 ex_fr_female$Type: Observed Year: 1895 Ex: 20.360000","Age: 51 ex_fr_female$Type: Observed Year: 1896 Ex: 21.250000","Age: 51 ex_fr_female$Type: Observed Year: 1897 Ex: 21.560000","Age: 51 ex_fr_female$Type: Observed Year: 1898 Ex: 20.830000","Age: 51 ex_fr_female$Type: Observed Year: 1899 Ex: 20.870000","Age: 51 ex_fr_female$Type: Observed Year: 1900 Ex: 20.150000","Age: 51 ex_fr_female$Type: Observed Year: 1901 Ex: 20.980000","Age: 51 ex_fr_female$Type: Observed Year: 1902 Ex: 21.260000","Age: 51 ex_fr_female$Type: Observed Year: 1903 Ex: 21.310000","Age: 51 ex_fr_female$Type: Observed Year: 1904 Ex: 21.260000","Age: 51 ex_fr_female$Type: Observed Year: 1905 Ex: 21.000000","Age: 51 ex_fr_female$Type: Observed Year: 1906 Ex: 21.070000","Age: 51 ex_fr_female$Type: Observed Year: 1907 Ex: 20.660000","Age: 51 ex_fr_female$Type: Observed Year: 1908 Ex: 21.290000","Age: 51 ex_fr_female$Type: Observed Year: 1909 Ex: 20.840000","Age: 51 ex_fr_female$Type: Observed Year: 1910 Ex: 21.710000","Age: 51 ex_fr_female$Type: Observed Year: 1911 Ex: 21.120000","Age: 51 ex_fr_female$Type: Observed Year: 1912 Ex: 21.830000","Age: 51 ex_fr_female$Type: Observed Year: 1913 Ex: 21.860000","Age: 51 ex_fr_female$Type: Observed Year: 1914 Ex: 21.220000","Age: 51 ex_fr_female$Type: Observed Year: 1915 Ex: 21.290000","Age: 51 ex_fr_female$Type: Observed Year: 1916 Ex: 21.530000","Age: 51 ex_fr_female$Type: Observed Year: 1917 Ex: 21.390000","Age: 51 ex_fr_female$Type: Observed Year: 1918 Ex: 20.850000","Age: 51 ex_fr_female$Type: Observed Year: 1919 Ex: 21.510000","Age: 51 ex_fr_female$Type: Observed Year: 1920 Ex: 22.440000","Age: 51 ex_fr_female$Type: Observed Year: 1921 Ex: 22.320000","Age: 51 ex_fr_female$Type: Observed Year: 1922 Ex: 21.920000","Age: 51 ex_fr_female$Type: Observed Year: 1923 Ex: 22.580000","Age: 51 ex_fr_female$Type: Observed Year: 1924 Ex: 22.290000","Age: 51 ex_fr_female$Type: Observed Year: 1925 Ex: 22.160000","Age: 51 ex_fr_female$Type: Observed Year: 1926 Ex: 22.270000","Age: 51 ex_fr_female$Type: Observed Year: 1927 Ex: 22.580000","Age: 51 ex_fr_female$Type: Observed Year: 1928 Ex: 22.760000","Age: 51 ex_fr_female$Type: Observed Year: 1929 Ex: 21.860000","Age: 51 ex_fr_female$Type: Observed Year: 1930 Ex: 23.180000","Age: 51 ex_fr_female$Type: Observed Year: 1931 Ex: 22.620000","Age: 51 ex_fr_female$Type: Observed Year: 1932 Ex: 22.930000","Age: 51 ex_fr_female$Type: Observed Year: 1933 Ex: 22.880000","Age: 51 ex_fr_female$Type: Observed Year: 1934 Ex: 23.420000","Age: 51 ex_fr_female$Type: Observed Year: 1935 Ex: 22.980000","Age: 51 ex_fr_female$Type: Observed Year: 1936 Ex: 23.270000","Age: 51 ex_fr_female$Type: Observed Year: 1937 Ex: 23.560000","Age: 51 ex_fr_female$Type: Observed Year: 1938 Ex: 23.330000","Age: 51 ex_fr_female$Type: Observed Year: 1939 Ex: 23.300000","Age: 51 ex_fr_female$Type: Observed Year: 1940 Ex: 21.870000","Age: 51 ex_fr_female$Type: Observed Year: 1941 Ex: 22.980000","Age: 51 ex_fr_female$Type: Observed Year: 1942 Ex: 23.220000","Age: 51 ex_fr_female$Type: Observed Year: 1943 Ex: 23.470000","Age: 51 ex_fr_female$Type: Observed Year: 1944 Ex: 22.400000","Age: 51 ex_fr_female$Type: Observed Year: 1945 Ex: 23.730000","Age: 51 ex_fr_female$Type: Observed Year: 1946 Ex: 25.140000","Age: 51 ex_fr_female$Type: Observed Year: 1947 Ex: 25.460000","Age: 51 ex_fr_female$Type: Observed Year: 1948 Ex: 25.990000","Age: 51 ex_fr_female$Type: Observed Year: 1949 Ex: 24.910000","Age: 51 ex_fr_female$Type: Observed Year: 1950 Ex: 25.630000","Age: 51 ex_fr_female$Type: Observed Year: 1951 Ex: 25.160000","Age: 51 ex_fr_female$Type: Observed Year: 1952 Ex: 25.900000","Age: 51 ex_fr_female$Type: Observed Year: 1953 Ex: 25.400000","Age: 51 ex_fr_female$Type: Observed Year: 1954 Ex: 26.230000","Age: 51 ex_fr_female$Type: Observed Year: 1955 Ex: 26.260000","Age: 51 ex_fr_female$Type: Observed Year: 1956 Ex: 26.090000","Age: 51 ex_fr_female$Type: Observed Year: 1957 Ex: 26.480000","Age: 51 ex_fr_female$Type: Observed Year: 1958 Ex: 27.080000","Age: 51 ex_fr_female$Type: Observed Year: 1959 Ex: 27.120000","Age: 51 ex_fr_female$Type: Observed Year: 1960 Ex: 27.100000","Age: 51 ex_fr_female$Type: Observed Year: 1961 Ex: 27.690000","Age: 51 ex_fr_female$Type: Observed Year: 1962 Ex: 27.200000","Age: 51 ex_fr_female$Type: Observed Year: 1963 Ex: 27.120000","Age: 51 ex_fr_female$Type: Observed Year: 1964 Ex: 27.910000","Age: 51 ex_fr_female$Type: Observed Year: 1965 Ex: 27.720000","Age: 51 ex_fr_female$Type: Observed Year: 1966 Ex: 28.110000","Age: 51 ex_fr_female$Type: Observed Year: 1967 Ex: 28.080000","Age: 51 ex_fr_female$Type: Observed Year: 1968 Ex: 28.060000","Age: 51 ex_fr_female$Type: Observed Year: 1969 Ex: 27.870000","Age: 51 ex_fr_female$Type: Observed Year: 1970 Ex: 28.460000","Age: 51 ex_fr_female$Type: Observed Year: 1971 Ex: 28.490000","Age: 51 ex_fr_female$Type: Observed Year: 1972 Ex: 28.740000","Age: 51 ex_fr_female$Type: Observed Year: 1973 Ex: 28.730000","Age: 51 ex_fr_female$Type: Observed Year: 1974 Ex: 29.010000","Age: 51 ex_fr_female$Type: Observed Year: 1975 Ex: 29.040000","Age: 51 ex_fr_female$Type: Observed Year: 1976 Ex: 29.290000","Age: 51 ex_fr_female$Type: Observed Year: 1977 Ex: 29.840000","Age: 51 ex_fr_female$Type: Observed Year: 1978 Ex: 29.840000","Age: 51 ex_fr_female$Type: Observed Year: 1979 Ex: 30.100000","Age: 51 ex_fr_female$Type: Observed Year: 1980 Ex: 30.230000","Age: 51 ex_fr_female$Type: Observed Year: 1981 Ex: 30.230000","Age: 51 ex_fr_female$Type: Observed Year: 1982 Ex: 30.580000","Age: 51 ex_fr_female$Type: Observed Year: 1983 Ex: 30.460000","Age: 51 ex_fr_female$Type: Observed Year: 1984 Ex: 30.920000","Age: 51 ex_fr_female$Type: Observed Year: 1985 Ex: 30.930000","Age: 51 ex_fr_female$Type: Observed Year: 1986 Ex: 31.150000","Age: 51 ex_fr_female$Type: Observed Year: 1987 Ex: 31.650000","Age: 51 ex_fr_female$Type: Observed Year: 1988 Ex: 31.850000","Age: 51 ex_fr_female$Type: Observed Year: 1989 Ex: 32.010000","Age: 51 ex_fr_female$Type: Observed Year: 1990 Ex: 32.230000","Age: 51 ex_fr_female$Type: Observed Year: 1991 Ex: 32.450000","Age: 51 ex_fr_female$Type: Observed Year: 1992 Ex: 32.680000","Age: 51 ex_fr_female$Type: Observed Year: 1993 Ex: 32.670000","Age: 51 ex_fr_female$Type: Observed Year: 1994 Ex: 33.050000","Age: 51 ex_fr_female$Type: Observed Year: 1995 Ex: 33.030000","Age: 51 ex_fr_female$Type: Observed Year: 1996 Ex: 33.080000","Age: 51 ex_fr_female$Type: Observed Year: 1997 Ex: 33.260000","Age: 51 ex_fr_female$Type: Observed Year: 1998 Ex: 33.340000","Age: 51 ex_fr_female$Type: Observed Year: 1999 Ex: 33.420000","Age: 51 ex_fr_female$Type: Observed Year: 2000 Ex: 33.670000","Age: 51 ex_fr_female$Type: Observed Year: 2001 Ex: 33.830000","Age: 51 ex_fr_female$Type: Observed Year: 2002 Ex: 33.860000","Age: 51 ex_fr_female$Type: Observed Year: 2003 Ex: 33.710000","Age: 51 ex_fr_female$Type: Observed Year: 2004 Ex: 34.570000","Age: 51 ex_fr_female$Type: Observed Year: 2005 Ex: 34.460000","Age: 51 ex_fr_female$Type: Observed Year: 2006 Ex: 34.800000","Age: 51 ex_fr_female$Type: Observed Year: 2007 Ex: 34.930000","Age: 51 ex_fr_female$Type: Observed Year: 2008 Ex: 34.900000","Age: 51 ex_fr_female$Type: Observed Year: 2009 Ex: 34.990000","Age: 51 ex_fr_female$Type: Observed Year: 2010 Ex: 35.160000","Age: 51 ex_fr_female$Type: Observed Year: 2011 Ex: 35.450000","Age: 51 ex_fr_female$Type: Observed Year: 2012 Ex: 35.270000","Age: 51 ex_fr_female$Type: Observed Year: 2013 Ex: 35.460000","Age: 51 ex_fr_female$Type: Observed Year: 2014 Ex: 35.820000","Age: 51 ex_fr_female$Type: Observed Year: 2015 Ex: 35.520000","Age: 51 ex_fr_female$Type: Observed Year: 2016 Ex: 35.690000","Age: 51 ex_fr_female$Type: Observed Year: 2017 Ex: 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51 ex_fr_female$Type: Predicted Year: 1816 Ex: 19.486964","Age: 51 ex_fr_female$Type: Predicted Year: 1817 Ex: 19.533328","Age: 51 ex_fr_female$Type: Predicted Year: 1818 Ex: 19.576301","Age: 51 ex_fr_female$Type: Predicted Year: 1819 Ex: 19.747805","Age: 51 ex_fr_female$Type: Predicted Year: 1820 Ex: 19.323981","Age: 51 ex_fr_female$Type: Predicted Year: 1821 Ex: 20.336626","Age: 51 ex_fr_female$Type: Predicted Year: 1822 Ex: 20.379630","Age: 51 ex_fr_female$Type: Predicted Year: 1823 Ex: 20.508666","Age: 51 ex_fr_female$Type: Predicted Year: 1824 Ex: 20.648482","Age: 51 ex_fr_female$Type: Predicted Year: 1825 Ex: 20.241765","Age: 51 ex_fr_female$Type: Predicted Year: 1826 Ex: 19.736629","Age: 51 ex_fr_female$Type: Predicted Year: 1827 Ex: 19.993877","Age: 51 ex_fr_female$Type: Predicted Year: 1828 Ex: 19.721563","Age: 51 ex_fr_female$Type: Predicted Year: 1829 Ex: 19.575892","Age: 51 ex_fr_female$Type: Predicted Year: 1830 Ex: 19.614710","Age: 51 ex_fr_female$Type: Predicted Year: 1831 Ex: 20.008675","Age: 51 ex_fr_female$Type: Predicted Year: 1832 Ex: 17.855198","Age: 51 ex_fr_female$Type: Predicted Year: 1833 Ex: 19.942963","Age: 51 ex_fr_female$Type: Predicted Year: 1834 Ex: 19.395437","Age: 51 ex_fr_female$Type: Predicted Year: 1835 Ex: 19.966943","Age: 51 ex_fr_female$Type: Predicted Year: 1836 Ex: 20.462274","Age: 51 ex_fr_female$Type: Predicted Year: 1837 Ex: 18.718798","Age: 51 ex_fr_female$Type: Predicted Year: 1838 Ex: 19.909872","Age: 51 ex_fr_female$Type: Predicted Year: 1839 Ex: 20.498578","Age: 51 ex_fr_female$Type: Predicted Year: 1840 Ex: 19.933306","Age: 51 ex_fr_female$Type: Predicted Year: 1841 Ex: 20.674562","Age: 51 ex_fr_female$Type: Predicted Year: 1842 Ex: 20.027795","Age: 51 ex_fr_female$Type: Predicted Year: 1843 Ex: 20.434424","Age: 51 ex_fr_female$Type: Predicted Year: 1844 Ex: 20.518900","Age: 51 ex_fr_female$Type: Predicted Year: 1845 Ex: 20.846332","Age: 51 ex_fr_female$Type: Predicted Year: 1846 Ex: 20.523278","Age: 51 ex_fr_female$Type: Predicted Year: 1847 Ex: 19.452120","Age: 51 ex_fr_female$Type: Predicted Year: 1848 Ex: 19.763947","Age: 51 ex_fr_female$Type: Predicted Year: 1849 Ex: 18.636284","Age: 51 ex_fr_female$Type: Predicted Year: 1850 Ex: 20.521820","Age: 51 ex_fr_female$Type: Predicted Year: 1851 Ex: 20.382202","Age: 51 ex_fr_female$Type: Predicted Year: 1852 Ex: 20.356037","Age: 51 ex_fr_female$Type: Predicted Year: 1853 Ex: 20.132042","Age: 51 ex_fr_female$Type: Predicted Year: 1854 Ex: 18.254461","Age: 51 ex_fr_female$Type: Predicted Year: 1855 Ex: 19.198005","Age: 51 ex_fr_female$Type: Predicted Year: 1856 Ex: 20.431371","Age: 51 ex_fr_female$Type: Predicted Year: 1857 Ex: 19.949429","Age: 51 ex_fr_female$Type: Predicted Year: 1858 Ex: 19.403957","Age: 51 ex_fr_female$Type: Predicted Year: 1859 Ex: 19.580275","Age: 51 ex_fr_female$Type: Predicted Year: 1860 Ex: 20.567561","Age: 51 ex_fr_female$Type: Predicted Year: 1861 Ex: 20.518162","Age: 51 ex_fr_female$Type: Predicted Year: 1862 Ex: 20.685163","Age: 51 ex_fr_female$Type: Predicted Year: 1863 Ex: 20.449227","Age: 51 ex_fr_female$Type: Predicted Year: 1864 Ex: 20.159541","Age: 51 ex_fr_female$Type: Predicted Year: 1865 Ex: 19.948222","Age: 51 ex_fr_female$Type: Predicted Year: 1866 Ex: 20.095940","Age: 51 ex_fr_female$Type: Predicted Year: 1867 Ex: 20.289573","Age: 51 ex_fr_female$Type: Predicted Year: 1868 Ex: 20.153148","Age: 51 ex_fr_female$Type: Predicted Year: 1869 Ex: 20.286258","Age: 51 ex_fr_female$Type: Predicted Year: 1870 Ex: 19.037992","Age: 51 ex_fr_female$Type: Predicted Year: 1871 Ex: 18.193423","Age: 51 ex_fr_female$Type: Predicted Year: 1872 Ex: 21.229191","Age: 51 ex_fr_female$Type: Predicted Year: 1873 Ex: 20.613112","Age: 51 ex_fr_female$Type: Predicted Year: 1874 Ex: 21.011208","Age: 51 ex_fr_female$Type: Predicted Year: 1875 Ex: 20.301839","Age: 51 ex_fr_female$Type: Predicted Year: 1876 Ex: 20.792649","Age: 51 ex_fr_female$Type: Predicted Year: 1877 Ex: 21.158140","Age: 51 ex_fr_female$Type: Predicted Year: 1878 Ex: 20.679869","Age: 51 ex_fr_female$Type: Predicted Year: 1879 Ex: 20.427335","Age: 51 ex_fr_female$Type: Predicted Year: 1880 Ex: 20.729268","Age: 51 ex_fr_female$Type: Predicted Year: 1881 Ex: 21.138660","Age: 51 ex_fr_female$Type: Predicted Year: 1882 Ex: 21.087419","Age: 51 ex_fr_female$Type: Predicted Year: 1883 Ex: 21.042283","Age: 51 ex_fr_female$Type: Predicted Year: 1884 Ex: 21.109918","Age: 51 ex_fr_female$Type: Predicted Year: 1885 Ex: 21.108740","Age: 51 ex_fr_female$Type: Predicted Year: 1886 Ex: 20.982282","Age: 51 ex_fr_female$Type: Predicted Year: 1887 Ex: 20.924685","Age: 51 ex_fr_female$Type: Predicted Year: 1888 Ex: 21.008454","Age: 51 ex_fr_female$Type: Predicted Year: 1889 Ex: 21.395929","Age: 51 ex_fr_female$Type: Predicted Year: 1890 Ex: 20.442489","Age: 51 ex_fr_female$Type: Predicted Year: 1891 Ex: 20.181066","Age: 51 ex_fr_female$Type: Predicted Year: 1892 Ex: 20.380924","Age: 51 ex_fr_female$Type: Predicted Year: 1893 Ex: 20.530805","Age: 51 ex_fr_female$Type: Predicted Year: 1894 Ex: 21.079081","Age: 51 ex_fr_female$Type: Predicted Year: 1895 Ex: 20.639903","Age: 51 ex_fr_female$Type: Predicted Year: 1896 Ex: 21.530889","Age: 51 ex_fr_female$Type: Predicted Year: 1897 Ex: 21.842336","Age: 51 ex_fr_female$Type: Predicted Year: 1898 Ex: 21.108901","Age: 51 ex_fr_female$Type: Predicted Year: 1899 Ex: 21.146472","Age: 51 ex_fr_female$Type: Predicted Year: 1900 Ex: 20.427447","Age: 51 ex_fr_female$Type: Predicted Year: 1901 Ex: 21.261339","Age: 51 ex_fr_female$Type: Predicted Year: 1902 Ex: 21.541146","Age: 51 ex_fr_female$Type: Predicted Year: 1903 Ex: 21.591145","Age: 51 ex_fr_female$Type: Predicted Year: 1904 Ex: 21.533137","Age: 51 ex_fr_female$Type: Predicted Year: 1905 Ex: 21.273816","Age: 51 ex_fr_female$Type: Predicted Year: 1906 Ex: 21.342369","Age: 51 ex_fr_female$Type: Predicted Year: 1907 Ex: 20.942123","Age: 51 ex_fr_female$Type: Predicted Year: 1908 Ex: 21.571716","Age: 51 ex_fr_female$Type: Predicted Year: 1909 Ex: 21.115468","Age: 51 ex_fr_female$Type: Predicted Year: 1910 Ex: 21.982018","Age: 51 ex_fr_female$Type: Predicted Year: 1911 Ex: 21.399231","Age: 51 ex_fr_female$Type: Predicted Year: 1912 Ex: 22.109414","Age: 51 ex_fr_female$Type: Predicted Year: 1913 Ex: 22.138557","Age: 51 ex_fr_female$Type: Predicted Year: 1914 Ex: 21.499402","Age: 51 ex_fr_female$Type: Predicted Year: 1915 Ex: 21.564451","Age: 51 ex_fr_female$Type: Predicted Year: 1916 Ex: 21.809518","Age: 51 ex_fr_female$Type: Predicted Year: 1917 Ex: 21.667739","Age: 51 ex_fr_female$Type: Predicted Year: 1918 Ex: 21.127757","Age: 51 ex_fr_female$Type: Predicted Year: 1919 Ex: 21.787392","Age: 51 ex_fr_female$Type: Predicted Year: 1920 Ex: 22.714045","Age: 51 ex_fr_female$Type: Predicted Year: 1921 Ex: 22.593409","Age: 51 ex_fr_female$Type: Predicted Year: 1922 Ex: 22.190691","Age: 51 ex_fr_female$Type: Predicted Year: 1923 Ex: 22.849540","Age: 51 ex_fr_female$Type: Predicted Year: 1924 Ex: 22.568066","Age: 51 ex_fr_female$Type: Predicted Year: 1925 Ex: 22.430106","Age: 51 ex_fr_female$Type: Predicted Year: 1926 Ex: 22.541249","Age: 51 ex_fr_female$Type: Predicted Year: 1927 Ex: 22.849035","Age: 51 ex_fr_female$Type: Predicted Year: 1928 Ex: 23.028153","Age: 51 ex_fr_female$Type: Predicted Year: 1929 Ex: 22.132860","Age: 51 ex_fr_female$Type: Predicted Year: 1930 Ex: 23.449868","Age: 51 ex_fr_female$Type: Predicted Year: 1931 Ex: 22.894129","Age: 51 ex_fr_female$Type: Predicted Year: 1932 Ex: 23.203176","Age: 51 ex_fr_female$Type: Predicted Year: 1933 Ex: 23.153935","Age: 51 ex_fr_female$Type: Predicted Year: 1934 Ex: 23.689713","Age: 51 ex_fr_female$Type: Predicted Year: 1935 Ex: 23.246938","Age: 51 ex_fr_female$Type: Predicted Year: 1936 Ex: 23.542773","Age: 51 ex_fr_female$Type: Predicted Year: 1937 Ex: 23.833726","Age: 51 ex_fr_female$Type: Predicted Year: 1938 Ex: 23.603033","Age: 51 ex_fr_female$Type: Predicted Year: 1939 Ex: 23.569745","Age: 51 ex_fr_female$Type: Predicted Year: 1940 Ex: 22.142648","Age: 51 ex_fr_female$Type: Predicted Year: 1941 Ex: 23.243534","Age: 51 ex_fr_female$Type: Predicted Year: 1942 Ex: 23.483683","Age: 51 ex_fr_female$Type: Predicted Year: 1943 Ex: 23.741726","Age: 51 ex_fr_female$Type: Predicted Year: 1944 Ex: 22.672038","Age: 51 ex_fr_female$Type: Predicted Year: 1945 Ex: 23.993475","Age: 51 ex_fr_female$Type: Predicted Year: 1946 Ex: 25.412707","Age: 51 ex_fr_female$Type: Predicted Year: 1947 Ex: 25.726078","Age: 51 ex_fr_female$Type: Predicted Year: 1948 Ex: 26.262284","Age: 51 ex_fr_female$Type: Predicted Year: 1949 Ex: 25.174134","Age: 51 ex_fr_female$Type: Predicted Year: 1950 Ex: 25.895026","Age: 51 ex_fr_female$Type: Predicted Year: 1951 Ex: 25.425508","Age: 51 ex_fr_female$Type: Predicted Year: 1952 Ex: 26.171104","Age: 51 ex_fr_female$Type: Predicted Year: 1953 Ex: 25.664473","Age: 51 ex_fr_female$Type: Predicted Year: 1954 Ex: 26.491503","Age: 51 ex_fr_female$Type: Predicted Year: 1955 Ex: 26.531361","Age: 51 ex_fr_female$Type: Predicted Year: 1956 Ex: 26.360226","Age: 51 ex_fr_female$Type: Predicted Year: 1957 Ex: 26.750141","Age: 51 ex_fr_female$Type: Predicted Year: 1958 Ex: 27.343189","Age: 51 ex_fr_female$Type: Predicted Year: 1959 Ex: 27.389107","Age: 51 ex_fr_female$Type: Predicted Year: 1960 Ex: 27.362838","Age: 51 ex_fr_female$Type: Predicted Year: 1961 Ex: 27.958180","Age: 51 ex_fr_female$Type: Predicted Year: 1962 Ex: 27.462422","Age: 51 ex_fr_female$Type: Predicted Year: 1963 Ex: 27.389840","Age: 51 ex_fr_female$Type: Predicted Year: 1964 Ex: 28.173903","Age: 51 ex_fr_female$Type: Predicted Year: 1965 Ex: 27.983678","Age: 51 ex_fr_female$Type: Predicted Year: 1966 Ex: 28.379399","Age: 51 ex_fr_female$Type: Predicted Year: 1967 Ex: 28.341608","Age: 51 ex_fr_female$Type: Predicted Year: 1968 Ex: 28.323820","Age: 51 ex_fr_female$Type: Predicted Year: 1969 Ex: 28.131790","Age: 51 ex_fr_female$Type: Predicted Year: 1970 Ex: 28.727414","Age: 51 ex_fr_female$Type: Predicted Year: 1971 Ex: 28.751657","Age: 51 ex_fr_female$Type: Predicted Year: 1972 Ex: 29.000221","Age: 51 ex_fr_female$Type: Predicted Year: 1973 Ex: 28.998673","Age: 51 ex_fr_female$Type: Predicted Year: 1974 Ex: 29.273661","Age: 51 ex_fr_female$Type: Predicted Year: 1975 Ex: 29.306708","Age: 51 ex_fr_female$Type: Predicted Year: 1976 Ex: 29.551508","Age: 51 ex_fr_female$Type: Predicted Year: 1977 Ex: 30.106270","Age: 51 ex_fr_female$Type: Predicted Year: 1978 Ex: 30.102210","Age: 51 ex_fr_female$Type: Predicted Year: 1979 Ex: 30.361756","Age: 51 ex_fr_female$Type: Predicted Year: 1980 Ex: 30.490741","Age: 51 ex_fr_female$Type: Predicted Year: 1981 Ex: 30.494313","Age: 51 ex_fr_female$Type: Predicted Year: 1982 Ex: 30.837846","Age: 51 ex_fr_female$Type: Predicted Year: 1983 Ex: 30.724764","Age: 51 ex_fr_female$Type: Predicted Year: 1984 Ex: 31.180797","Age: 51 ex_fr_female$Type: Predicted Year: 1985 Ex: 31.191517","Age: 51 ex_fr_female$Type: Predicted Year: 1986 Ex: 31.415429","Age: 51 ex_fr_female$Type: Predicted Year: 1987 Ex: 31.911634","Age: 51 ex_fr_female$Type: Predicted Year: 1988 Ex: 32.115691","Age: 51 ex_fr_female$Type: Predicted Year: 1989 Ex: 32.269038","Age: 51 ex_fr_female$Type: Predicted Year: 1990 Ex: 32.484794","Age: 51 ex_fr_female$Type: Predicted Year: 1991 Ex: 32.715185","Age: 51 ex_fr_female$Type: Predicted Year: 1992 Ex: 32.944907","Age: 51 ex_fr_female$Type: Predicted Year: 1993 Ex: 32.933513","Age: 51 ex_fr_female$Type: Predicted Year: 1994 Ex: 33.306392","Age: 51 ex_fr_female$Type: Predicted Year: 1995 Ex: 33.291014","Age: 51 ex_fr_female$Type: Predicted Year: 1996 Ex: 33.340972","Age: 51 ex_fr_female$Type: Predicted Year: 1997 Ex: 33.516592","Age: 51 ex_fr_female$Type: Predicted Year: 1998 Ex: 33.597598","Age: 51 ex_fr_female$Type: Predicted Year: 1999 Ex: 33.678935","Age: 51 ex_fr_female$Type: Predicted Year: 2000 Ex: 33.931466","Age: 51 ex_fr_female$Type: Predicted Year: 2001 Ex: 34.086650","Age: 51 ex_fr_female$Type: Predicted Year: 2002 Ex: 34.116497","Age: 51 ex_fr_female$Type: Predicted Year: 2003 Ex: 33.965006","Age: 51 ex_fr_female$Type: Predicted Year: 2004 Ex: 34.831415","Age: 51 ex_fr_female$Type: Predicted Year: 2005 Ex: 34.720973","Age: 51 ex_fr_female$Type: Predicted Year: 2006 Ex: 35.057166","Age: 51 ex_fr_female$Type: Predicted Year: 2007 Ex: 35.191352","Age: 51 ex_fr_female$Type: Predicted Year: 2008 Ex: 35.157635","Age: 51 ex_fr_female$Type: Predicted Year: 2009 Ex: 35.252042","Age: 51 ex_fr_female$Type: Predicted Year: 2010 Ex: 35.414436","Age: 51 ex_fr_female$Type: Predicted Year: 2011 Ex: 35.711086","Age: 51 ex_fr_female$Type: Predicted Year: 2012 Ex: 35.526596","Age: 51 ex_fr_female$Type: Predicted Year: 2013 Ex: 35.717188","Age: 51 ex_fr_female$Type: Predicted Year: 2014 Ex: 36.075795","Age: 51 ex_fr_female$Type: Predicted Year: 2015 Ex: 35.778701","Age: 51 ex_fr_female$Type: Predicted Year: 2016 Ex: 35.945465","Age: 51 ex_fr_female$Type: Predicted Year: 2017 Ex: 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1910 Ex: 20.960000","Age: 52 ex_fr_female$Type: Observed Year: 1911 Ex: 20.390000","Age: 52 ex_fr_female$Type: Observed Year: 1912 Ex: 21.080000","Age: 52 ex_fr_female$Type: Observed Year: 1913 Ex: 21.110000","Age: 52 ex_fr_female$Type: Observed Year: 1914 Ex: 20.470000","Age: 52 ex_fr_female$Type: Observed Year: 1915 Ex: 20.560000","Age: 52 ex_fr_female$Type: Observed Year: 1916 Ex: 20.790000","Age: 52 ex_fr_female$Type: Observed Year: 1917 Ex: 20.640000","Age: 52 ex_fr_female$Type: Observed Year: 1918 Ex: 20.160000","Age: 52 ex_fr_female$Type: Observed Year: 1919 Ex: 20.790000","Age: 52 ex_fr_female$Type: Observed Year: 1920 Ex: 21.680000","Age: 52 ex_fr_female$Type: Observed Year: 1921 Ex: 21.560000","Age: 52 ex_fr_female$Type: Observed Year: 1922 Ex: 21.150000","Age: 52 ex_fr_female$Type: Observed Year: 1923 Ex: 21.810000","Age: 52 ex_fr_female$Type: Observed Year: 1924 Ex: 21.530000","Age: 52 ex_fr_female$Type: Observed Year: 1925 Ex: 21.410000","Age: 52 ex_fr_female$Type: Observed Year: 1926 Ex: 21.510000","Age: 52 ex_fr_female$Type: Observed Year: 1927 Ex: 21.800000","Age: 52 ex_fr_female$Type: Observed Year: 1928 Ex: 21.990000","Age: 52 ex_fr_female$Type: Observed Year: 1929 Ex: 21.100000","Age: 52 ex_fr_female$Type: Observed Year: 1930 Ex: 22.410000","Age: 52 ex_fr_female$Type: Observed Year: 1931 Ex: 21.840000","Age: 52 ex_fr_female$Type: Observed Year: 1932 Ex: 22.160000","Age: 52 ex_fr_female$Type: Observed Year: 1933 Ex: 22.110000","Age: 52 ex_fr_female$Type: Observed Year: 1934 Ex: 22.650000","Age: 52 ex_fr_female$Type: Observed Year: 1935 Ex: 22.210000","Age: 52 ex_fr_female$Type: Observed Year: 1936 Ex: 22.500000","Age: 52 ex_fr_female$Type: Observed Year: 1937 Ex: 22.790000","Age: 52 ex_fr_female$Type: Observed Year: 1938 Ex: 22.560000","Age: 52 ex_fr_female$Type: Observed Year: 1939 Ex: 22.520000","Age: 52 ex_fr_female$Type: Observed Year: 1940 Ex: 21.100000","Age: 52 ex_fr_female$Type: Observed Year: 1941 Ex: 22.200000","Age: 52 ex_fr_female$Type: Observed Year: 1942 Ex: 22.420000","Age: 52 ex_fr_female$Type: Observed Year: 1943 Ex: 22.680000","Age: 52 ex_fr_female$Type: Observed Year: 1944 Ex: 21.640000","Age: 52 ex_fr_female$Type: Observed Year: 1945 Ex: 22.930000","Age: 52 ex_fr_female$Type: Observed Year: 1946 Ex: 24.310000","Age: 52 ex_fr_female$Type: Observed Year: 1947 Ex: 24.620000","Age: 52 ex_fr_female$Type: Observed Year: 1948 Ex: 25.160000","Age: 52 ex_fr_female$Type: Observed Year: 1949 Ex: 24.070000","Age: 52 ex_fr_female$Type: Observed Year: 1950 Ex: 24.790000","Age: 52 ex_fr_female$Type: Observed Year: 1951 Ex: 24.320000","Age: 52 ex_fr_female$Type: Observed Year: 1952 Ex: 25.060000","Age: 52 ex_fr_female$Type: Observed Year: 1953 Ex: 24.560000","Age: 52 ex_fr_female$Type: Observed Year: 1954 Ex: 25.380000","Age: 52 ex_fr_female$Type: Observed Year: 1955 Ex: 25.420000","Age: 52 ex_fr_female$Type: Observed Year: 1956 Ex: 25.240000","Age: 52 ex_fr_female$Type: Observed Year: 1957 Ex: 25.630000","Age: 52 ex_fr_female$Type: Observed Year: 1958 Ex: 26.210000","Age: 52 ex_fr_female$Type: Observed Year: 1959 Ex: 26.260000","Age: 52 ex_fr_female$Type: Observed Year: 1960 Ex: 26.230000","Age: 52 ex_fr_female$Type: Observed Year: 1961 Ex: 26.820000","Age: 52 ex_fr_female$Type: Observed Year: 1962 Ex: 26.330000","Age: 52 ex_fr_female$Type: Observed Year: 1963 Ex: 26.260000","Age: 52 ex_fr_female$Type: Observed Year: 1964 Ex: 27.040000","Age: 52 ex_fr_female$Type: Observed Year: 1965 Ex: 26.840000","Age: 52 ex_fr_female$Type: Observed Year: 1966 Ex: 27.240000","Age: 52 ex_fr_female$Type: Observed Year: 1967 Ex: 27.210000","Age: 52 ex_fr_female$Type: Observed Year: 1968 Ex: 27.180000","Age: 52 ex_fr_female$Type: Observed Year: 1969 Ex: 27.000000","Age: 52 ex_fr_female$Type: Observed Year: 1970 Ex: 27.590000","Age: 52 ex_fr_female$Type: Observed Year: 1971 Ex: 27.610000","Age: 52 ex_fr_female$Type: Observed Year: 1972 Ex: 27.860000","Age: 52 ex_fr_female$Type: Observed Year: 1973 Ex: 27.850000","Age: 52 ex_fr_female$Type: Observed Year: 1974 Ex: 28.130000","Age: 52 ex_fr_female$Type: Observed Year: 1975 Ex: 28.160000","Age: 52 ex_fr_female$Type: Observed Year: 1976 Ex: 28.410000","Age: 52 ex_fr_female$Type: Observed Year: 1977 Ex: 28.950000","Age: 52 ex_fr_female$Type: Observed Year: 1978 Ex: 28.950000","Age: 52 ex_fr_female$Type: Observed Year: 1979 Ex: 29.210000","Age: 52 ex_fr_female$Type: Observed Year: 1980 Ex: 29.340000","Age: 52 ex_fr_female$Type: Observed Year: 1981 Ex: 29.340000","Age: 52 ex_fr_female$Type: Observed Year: 1982 Ex: 29.680000","Age: 52 ex_fr_female$Type: Observed Year: 1983 Ex: 29.570000","Age: 52 ex_fr_female$Type: Observed Year: 1984 Ex: 30.020000","Age: 52 ex_fr_female$Type: Observed Year: 1985 Ex: 30.030000","Age: 52 ex_fr_female$Type: Observed Year: 1986 Ex: 30.250000","Age: 52 ex_fr_female$Type: Observed Year: 1987 Ex: 30.750000","Age: 52 ex_fr_female$Type: Observed Year: 1988 Ex: 30.950000","Age: 52 ex_fr_female$Type: Observed Year: 1989 Ex: 31.100000","Age: 52 ex_fr_female$Type: Observed Year: 1990 Ex: 31.320000","Age: 52 ex_fr_female$Type: Observed Year: 1991 Ex: 31.540000","Age: 52 ex_fr_female$Type: Observed Year: 1992 Ex: 31.770000","Age: 52 ex_fr_female$Type: Observed Year: 1993 Ex: 31.760000","Age: 52 ex_fr_female$Type: Observed Year: 1994 Ex: 32.140000","Age: 52 ex_fr_female$Type: Observed Year: 1995 Ex: 32.120000","Age: 52 ex_fr_female$Type: Observed Year: 1996 Ex: 32.180000","Age: 52 ex_fr_female$Type: Observed Year: 1997 Ex: 32.350000","Age: 52 ex_fr_female$Type: Observed Year: 1998 Ex: 32.420000","Age: 52 ex_fr_female$Type: Observed Year: 1999 Ex: 32.510000","Age: 52 ex_fr_female$Type: Observed Year: 2000 Ex: 32.760000","Age: 52 ex_fr_female$Type: Observed Year: 2001 Ex: 32.910000","Age: 52 ex_fr_female$Type: Observed Year: 2002 Ex: 32.950000","Age: 52 ex_fr_female$Type: Observed Year: 2003 Ex: 32.800000","Age: 52 ex_fr_female$Type: Observed Year: 2004 Ex: 33.660000","Age: 52 ex_fr_female$Type: Observed Year: 2005 Ex: 33.560000","Age: 52 ex_fr_female$Type: Observed Year: 2006 Ex: 33.890000","Age: 52 ex_fr_female$Type: Observed Year: 2007 Ex: 34.020000","Age: 52 ex_fr_female$Type: Observed Year: 2008 Ex: 33.990000","Age: 52 ex_fr_female$Type: Observed Year: 2009 Ex: 34.090000","Age: 52 ex_fr_female$Type: Observed Year: 2010 Ex: 34.250000","Age: 52 ex_fr_female$Type: Observed Year: 2011 Ex: 34.540000","Age: 52 ex_fr_female$Type: Observed Year: 2012 Ex: 34.360000","Age: 52 ex_fr_female$Type: Observed Year: 2013 Ex: 34.540000","Age: 52 ex_fr_female$Type: Observed Year: 2014 Ex: 34.900000","Age: 52 ex_fr_female$Type: Observed Year: 2015 Ex: 34.610000","Age: 52 ex_fr_female$Type: Observed Year: 2016 Ex: 34.760000","Age: 52 ex_fr_female$Type: Observed Year: 2017 Ex: 34.710000"],"frame":"52","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[18.8337669036651,18.8976540544036,18.9317301343756,19.1166289530125,18.6879454299503,19.6868315773018,19.7283694313523,19.8470488296014,19.9808298102658,19.5925056648979,19.0693905477611,19.3358484634389,19.0765658653379,18.9118908272508,18.9519756312006,19.3334443691884,17.2543938110778,19.2775134746686,18.7538493382616,19.3082447850142,19.782015233764,18.0558371171514,19.2357595325322,19.816055305051,19.2724360703945,19.9993432962428,19.3552653873605,19.7599985181903,19.8367004512741,20.1410313443116,19.8234574545595,18.775718985221,19.1016894530848,18.0267448572984,19.8364120672221,19.6980345912529,19.6853772992042,19.4458949151165,17.6414183530149,18.5189760340962,19.7356358068133,19.2656991610968,18.7269251625974,18.910331475186,19.8749238467102,19.8296469436985,19.9904328886851,19.7505241627627,19.4594570218663,19.2545917799287,19.4169826223813,19.5890615249878,19.4549616659328,19.5869011462203,18.3760274716084,17.599855823184,20.5224966382288,19.9074943946946,20.3057980212643,19.6039257114467,20.0931600433405,20.4569365916177,19.9721568222934,19.7218293072734,20.0306879578293,20.443456992217,20.3956384916237,20.3548317109643,20.414499576789,20.416023057842,20.2860170213265,20.2244562054656,20.2903178790967,20.6839658324195,19.7347781908702,19.4607387866676,19.6475130054617,19.8046829876634,20.3458571844978,19.9197648475142,20.7956419193486,21.0812055449816,20.3704277035705,20.4059674153147,19.6863818409515,20.5275340093707,20.8041096293735,20.8421377295205,20.7806729985256,20.5317562512802,20.6043256547515,20.2019482187756,20.8374086995057,20.3791663216731,21.2376623931208,20.6638074285526,21.3626391912296,21.3849001704018,20.7518533048762,20.8351723582507,21.0685012210031,20.9112907080708,20.4395115217673,21.0596850170105,21.9599749917455,21.8351003741882,21.4260032778095,22.088610477136,21.8079180232091,21.6835391179172,21.7863807935667,22.0734231544603,22.263670603754,21.3743252559196,22.6807520796998,22.114219432654,22.4315777694404,22.3816124239595,22.9190282152471,22.4872709566477,22.7722640979956,23.0583386721691,22.829624049261,22.7897211032798,21.3656282272572,22.4725719024703,22.6947183312313,22.9480954770815,21.9098827623012,23.1971028250251,24.5816875756172,24.8946451702505,25.4276918711091,24.3400065677363,25.0636994186639,24.5875502283815,25.3312765657853,24.8247761962408,25.6492287457358,25.6840912951211,25.5103917000151,25.893858952635,26.4731555145049,26.5257813517667,26.5007286484154,27.0880894246772,26.5924242945815,26.5224638256889,27.3101160823176,27.1103943316236,27.5059798356433,27.474170381819,27.4439999466482,27.2627985359632,27.8572759799687,27.8785088647864,28.1213191483379,28.1169023570798,28.3953423968522,28.4270834339618,28.6711558251708,29.213342390072,29.216101641702,29.4727487335507,29.6001062242113,29.5997778880092,29.9429969827627,29.8289160784564,30.2840581941504,30.2929660891042,30.5173081497794,31.0091616082551,31.2129004085962,31.3635324100107,31.5786473992138,31.8029297868066,32.0300236697281,32.0254303841325,32.3970627868403,32.3799982307371,32.4356903529324,32.6128099282317,32.6840959343228,32.7649799514431,33.0188361600865,33.1680279556396,33.20637298425,33.0551477732079,33.9190722640035,33.8138373600572,34.1523288293571,34.2799280334404,34.2485567908635,34.347741609589,34.5067320883592,34.7981654246699,34.6114630838319,34.8007518499663,35.155217822697,34.8617031277668,35.0178476851568,34.9648319425661],"text":["Age: 52 ex_fr_female$Type: Predicted Year: 1816 Ex: 18.833767","Age: 52 ex_fr_female$Type: Predicted Year: 1817 Ex: 18.897654","Age: 52 ex_fr_female$Type: Predicted Year: 1818 Ex: 18.931730","Age: 52 ex_fr_female$Type: Predicted Year: 1819 Ex: 19.116629","Age: 52 ex_fr_female$Type: Predicted Year: 1820 Ex: 18.687945","Age: 52 ex_fr_female$Type: Predicted Year: 1821 Ex: 19.686832","Age: 52 ex_fr_female$Type: Predicted Year: 1822 Ex: 19.728369","Age: 52 ex_fr_female$Type: Predicted Year: 1823 Ex: 19.847049","Age: 52 ex_fr_female$Type: Predicted Year: 1824 Ex: 19.980830","Age: 52 ex_fr_female$Type: Predicted Year: 1825 Ex: 19.592506","Age: 52 ex_fr_female$Type: Predicted Year: 1826 Ex: 19.069391","Age: 52 ex_fr_female$Type: Predicted Year: 1827 Ex: 19.335848","Age: 52 ex_fr_female$Type: Predicted Year: 1828 Ex: 19.076566","Age: 52 ex_fr_female$Type: Predicted Year: 1829 Ex: 18.911891","Age: 52 ex_fr_female$Type: Predicted Year: 1830 Ex: 18.951976","Age: 52 ex_fr_female$Type: Predicted Year: 1831 Ex: 19.333444","Age: 52 ex_fr_female$Type: Predicted Year: 1832 Ex: 17.254394","Age: 52 ex_fr_female$Type: Predicted Year: 1833 Ex: 19.277513","Age: 52 ex_fr_female$Type: Predicted Year: 1834 Ex: 18.753849","Age: 52 ex_fr_female$Type: Predicted Year: 1835 Ex: 19.308245","Age: 52 ex_fr_female$Type: Predicted Year: 1836 Ex: 19.782015","Age: 52 ex_fr_female$Type: Predicted Year: 1837 Ex: 18.055837","Age: 52 ex_fr_female$Type: Predicted Year: 1838 Ex: 19.235760","Age: 52 ex_fr_female$Type: Predicted Year: 1839 Ex: 19.816055","Age: 52 ex_fr_female$Type: Predicted Year: 1840 Ex: 19.272436","Age: 52 ex_fr_female$Type: Predicted Year: 1841 Ex: 19.999343","Age: 52 ex_fr_female$Type: Predicted Year: 1842 Ex: 19.355265","Age: 52 ex_fr_female$Type: Predicted Year: 1843 Ex: 19.759999","Age: 52 ex_fr_female$Type: Predicted Year: 1844 Ex: 19.836700","Age: 52 ex_fr_female$Type: Predicted Year: 1845 Ex: 20.141031","Age: 52 ex_fr_female$Type: Predicted Year: 1846 Ex: 19.823457","Age: 52 ex_fr_female$Type: Predicted Year: 1847 Ex: 18.775719","Age: 52 ex_fr_female$Type: Predicted Year: 1848 Ex: 19.101689","Age: 52 ex_fr_female$Type: Predicted Year: 1849 Ex: 18.026745","Age: 52 ex_fr_female$Type: Predicted Year: 1850 Ex: 19.836412","Age: 52 ex_fr_female$Type: Predicted Year: 1851 Ex: 19.698035","Age: 52 ex_fr_female$Type: Predicted Year: 1852 Ex: 19.685377","Age: 52 ex_fr_female$Type: Predicted Year: 1853 Ex: 19.445895","Age: 52 ex_fr_female$Type: Predicted Year: 1854 Ex: 17.641418","Age: 52 ex_fr_female$Type: Predicted Year: 1855 Ex: 18.518976","Age: 52 ex_fr_female$Type: Predicted Year: 1856 Ex: 19.735636","Age: 52 ex_fr_female$Type: Predicted Year: 1857 Ex: 19.265699","Age: 52 ex_fr_female$Type: Predicted Year: 1858 Ex: 18.726925","Age: 52 ex_fr_female$Type: Predicted Year: 1859 Ex: 18.910331","Age: 52 ex_fr_female$Type: Predicted Year: 1860 Ex: 19.874924","Age: 52 ex_fr_female$Type: Predicted Year: 1861 Ex: 19.829647","Age: 52 ex_fr_female$Type: Predicted Year: 1862 Ex: 19.990433","Age: 52 ex_fr_female$Type: Predicted Year: 1863 Ex: 19.750524","Age: 52 ex_fr_female$Type: Predicted Year: 1864 Ex: 19.459457","Age: 52 ex_fr_female$Type: Predicted Year: 1865 Ex: 19.254592","Age: 52 ex_fr_female$Type: Predicted Year: 1866 Ex: 19.416983","Age: 52 ex_fr_female$Type: Predicted Year: 1867 Ex: 19.589062","Age: 52 ex_fr_female$Type: Predicted Year: 1868 Ex: 19.454962","Age: 52 ex_fr_female$Type: Predicted Year: 1869 Ex: 19.586901","Age: 52 ex_fr_female$Type: Predicted Year: 1870 Ex: 18.376027","Age: 52 ex_fr_female$Type: Predicted Year: 1871 Ex: 17.599856","Age: 52 ex_fr_female$Type: Predicted Year: 1872 Ex: 20.522497","Age: 52 ex_fr_female$Type: Predicted Year: 1873 Ex: 19.907494","Age: 52 ex_fr_female$Type: Predicted Year: 1874 Ex: 20.305798","Age: 52 ex_fr_female$Type: Predicted Year: 1875 Ex: 19.603926","Age: 52 ex_fr_female$Type: Predicted Year: 1876 Ex: 20.093160","Age: 52 ex_fr_female$Type: Predicted Year: 1877 Ex: 20.456937","Age: 52 ex_fr_female$Type: Predicted Year: 1878 Ex: 19.972157","Age: 52 ex_fr_female$Type: Predicted Year: 1879 Ex: 19.721829","Age: 52 ex_fr_female$Type: Predicted Year: 1880 Ex: 20.030688","Age: 52 ex_fr_female$Type: Predicted Year: 1881 Ex: 20.443457","Age: 52 ex_fr_female$Type: Predicted Year: 1882 Ex: 20.395638","Age: 52 ex_fr_female$Type: Predicted Year: 1883 Ex: 20.354832","Age: 52 ex_fr_female$Type: Predicted Year: 1884 Ex: 20.414500","Age: 52 ex_fr_female$Type: Predicted Year: 1885 Ex: 20.416023","Age: 52 ex_fr_female$Type: Predicted Year: 1886 Ex: 20.286017","Age: 52 ex_fr_female$Type: Predicted Year: 1887 Ex: 20.224456","Age: 52 ex_fr_female$Type: Predicted Year: 1888 Ex: 20.290318","Age: 52 ex_fr_female$Type: Predicted Year: 1889 Ex: 20.683966","Age: 52 ex_fr_female$Type: Predicted Year: 1890 Ex: 19.734778","Age: 52 ex_fr_female$Type: Predicted Year: 1891 Ex: 19.460739","Age: 52 ex_fr_female$Type: Predicted Year: 1892 Ex: 19.647513","Age: 52 ex_fr_female$Type: Predicted Year: 1893 Ex: 19.804683","Age: 52 ex_fr_female$Type: Predicted Year: 1894 Ex: 20.345857","Age: 52 ex_fr_female$Type: Predicted Year: 1895 Ex: 19.919765","Age: 52 ex_fr_female$Type: Predicted Year: 1896 Ex: 20.795642","Age: 52 ex_fr_female$Type: Predicted Year: 1897 Ex: 21.081206","Age: 52 ex_fr_female$Type: Predicted Year: 1898 Ex: 20.370428","Age: 52 ex_fr_female$Type: Predicted Year: 1899 Ex: 20.405967","Age: 52 ex_fr_female$Type: Predicted Year: 1900 Ex: 19.686382","Age: 52 ex_fr_female$Type: Predicted Year: 1901 Ex: 20.527534","Age: 52 ex_fr_female$Type: Predicted Year: 1902 Ex: 20.804110","Age: 52 ex_fr_female$Type: Predicted Year: 1903 Ex: 20.842138","Age: 52 ex_fr_female$Type: Predicted Year: 1904 Ex: 20.780673","Age: 52 ex_fr_female$Type: Predicted Year: 1905 Ex: 20.531756","Age: 52 ex_fr_female$Type: Predicted Year: 1906 Ex: 20.604326","Age: 52 ex_fr_female$Type: Predicted Year: 1907 Ex: 20.201948","Age: 52 ex_fr_female$Type: Predicted Year: 1908 Ex: 20.837409","Age: 52 ex_fr_female$Type: Predicted Year: 1909 Ex: 20.379166","Age: 52 ex_fr_female$Type: Predicted Year: 1910 Ex: 21.237662","Age: 52 ex_fr_female$Type: Predicted Year: 1911 Ex: 20.663807","Age: 52 ex_fr_female$Type: Predicted Year: 1912 Ex: 21.362639","Age: 52 ex_fr_female$Type: Predicted Year: 1913 Ex: 21.384900","Age: 52 ex_fr_female$Type: Predicted Year: 1914 Ex: 20.751853","Age: 52 ex_fr_female$Type: Predicted Year: 1915 Ex: 20.835172","Age: 52 ex_fr_female$Type: Predicted Year: 1916 Ex: 21.068501","Age: 52 ex_fr_female$Type: Predicted Year: 1917 Ex: 20.911291","Age: 52 ex_fr_female$Type: Predicted Year: 1918 Ex: 20.439512","Age: 52 ex_fr_female$Type: Predicted Year: 1919 Ex: 21.059685","Age: 52 ex_fr_female$Type: Predicted Year: 1920 Ex: 21.959975","Age: 52 ex_fr_female$Type: Predicted Year: 1921 Ex: 21.835100","Age: 52 ex_fr_female$Type: Predicted Year: 1922 Ex: 21.426003","Age: 52 ex_fr_female$Type: Predicted Year: 1923 Ex: 22.088610","Age: 52 ex_fr_female$Type: Predicted Year: 1924 Ex: 21.807918","Age: 52 ex_fr_female$Type: Predicted Year: 1925 Ex: 21.683539","Age: 52 ex_fr_female$Type: Predicted Year: 1926 Ex: 21.786381","Age: 52 ex_fr_female$Type: Predicted Year: 1927 Ex: 22.073423","Age: 52 ex_fr_female$Type: Predicted Year: 1928 Ex: 22.263671","Age: 52 ex_fr_female$Type: Predicted Year: 1929 Ex: 21.374325","Age: 52 ex_fr_female$Type: Predicted Year: 1930 Ex: 22.680752","Age: 52 ex_fr_female$Type: Predicted Year: 1931 Ex: 22.114219","Age: 52 ex_fr_female$Type: Predicted Year: 1932 Ex: 22.431578","Age: 52 ex_fr_female$Type: Predicted Year: 1933 Ex: 22.381612","Age: 52 ex_fr_female$Type: Predicted Year: 1934 Ex: 22.919028","Age: 52 ex_fr_female$Type: Predicted Year: 1935 Ex: 22.487271","Age: 52 ex_fr_female$Type: Predicted Year: 1936 Ex: 22.772264","Age: 52 ex_fr_female$Type: Predicted Year: 1937 Ex: 23.058339","Age: 52 ex_fr_female$Type: Predicted Year: 1938 Ex: 22.829624","Age: 52 ex_fr_female$Type: Predicted Year: 1939 Ex: 22.789721","Age: 52 ex_fr_female$Type: Predicted Year: 1940 Ex: 21.365628","Age: 52 ex_fr_female$Type: Predicted Year: 1941 Ex: 22.472572","Age: 52 ex_fr_female$Type: Predicted Year: 1942 Ex: 22.694718","Age: 52 ex_fr_female$Type: Predicted Year: 1943 Ex: 22.948095","Age: 52 ex_fr_female$Type: Predicted Year: 1944 Ex: 21.909883","Age: 52 ex_fr_female$Type: Predicted Year: 1945 Ex: 23.197103","Age: 52 ex_fr_female$Type: Predicted Year: 1946 Ex: 24.581688","Age: 52 ex_fr_female$Type: Predicted Year: 1947 Ex: 24.894645","Age: 52 ex_fr_female$Type: Predicted Year: 1948 Ex: 25.427692","Age: 52 ex_fr_female$Type: Predicted Year: 1949 Ex: 24.340007","Age: 52 ex_fr_female$Type: Predicted Year: 1950 Ex: 25.063699","Age: 52 ex_fr_female$Type: Predicted Year: 1951 Ex: 24.587550","Age: 52 ex_fr_female$Type: Predicted Year: 1952 Ex: 25.331277","Age: 52 ex_fr_female$Type: Predicted Year: 1953 Ex: 24.824776","Age: 52 ex_fr_female$Type: Predicted Year: 1954 Ex: 25.649229","Age: 52 ex_fr_female$Type: Predicted Year: 1955 Ex: 25.684091","Age: 52 ex_fr_female$Type: Predicted Year: 1956 Ex: 25.510392","Age: 52 ex_fr_female$Type: Predicted Year: 1957 Ex: 25.893859","Age: 52 ex_fr_female$Type: Predicted Year: 1958 Ex: 26.473156","Age: 52 ex_fr_female$Type: Predicted Year: 1959 Ex: 26.525781","Age: 52 ex_fr_female$Type: Predicted Year: 1960 Ex: 26.500729","Age: 52 ex_fr_female$Type: Predicted Year: 1961 Ex: 27.088089","Age: 52 ex_fr_female$Type: Predicted Year: 1962 Ex: 26.592424","Age: 52 ex_fr_female$Type: Predicted Year: 1963 Ex: 26.522464","Age: 52 ex_fr_female$Type: Predicted Year: 1964 Ex: 27.310116","Age: 52 ex_fr_female$Type: Predicted Year: 1965 Ex: 27.110394","Age: 52 ex_fr_female$Type: Predicted Year: 1966 Ex: 27.505980","Age: 52 ex_fr_female$Type: Predicted Year: 1967 Ex: 27.474170","Age: 52 ex_fr_female$Type: Predicted Year: 1968 Ex: 27.444000","Age: 52 ex_fr_female$Type: Predicted Year: 1969 Ex: 27.262799","Age: 52 ex_fr_female$Type: Predicted Year: 1970 Ex: 27.857276","Age: 52 ex_fr_female$Type: Predicted Year: 1971 Ex: 27.878509","Age: 52 ex_fr_female$Type: Predicted Year: 1972 Ex: 28.121319","Age: 52 ex_fr_female$Type: Predicted Year: 1973 Ex: 28.116902","Age: 52 ex_fr_female$Type: Predicted Year: 1974 Ex: 28.395342","Age: 52 ex_fr_female$Type: Predicted Year: 1975 Ex: 28.427083","Age: 52 ex_fr_female$Type: Predicted Year: 1976 Ex: 28.671156","Age: 52 ex_fr_female$Type: Predicted Year: 1977 Ex: 29.213342","Age: 52 ex_fr_female$Type: Predicted Year: 1978 Ex: 29.216102","Age: 52 ex_fr_female$Type: Predicted Year: 1979 Ex: 29.472749","Age: 52 ex_fr_female$Type: Predicted Year: 1980 Ex: 29.600106","Age: 52 ex_fr_female$Type: Predicted Year: 1981 Ex: 29.599778","Age: 52 ex_fr_female$Type: Predicted Year: 1982 Ex: 29.942997","Age: 52 ex_fr_female$Type: Predicted Year: 1983 Ex: 29.828916","Age: 52 ex_fr_female$Type: Predicted Year: 1984 Ex: 30.284058","Age: 52 ex_fr_female$Type: Predicted Year: 1985 Ex: 30.292966","Age: 52 ex_fr_female$Type: Predicted Year: 1986 Ex: 30.517308","Age: 52 ex_fr_female$Type: Predicted Year: 1987 Ex: 31.009162","Age: 52 ex_fr_female$Type: Predicted Year: 1988 Ex: 31.212900","Age: 52 ex_fr_female$Type: Predicted Year: 1989 Ex: 31.363532","Age: 52 ex_fr_female$Type: Predicted Year: 1990 Ex: 31.578647","Age: 52 ex_fr_female$Type: Predicted Year: 1991 Ex: 31.802930","Age: 52 ex_fr_female$Type: Predicted Year: 1992 Ex: 32.030024","Age: 52 ex_fr_female$Type: Predicted Year: 1993 Ex: 32.025430","Age: 52 ex_fr_female$Type: Predicted Year: 1994 Ex: 32.397063","Age: 52 ex_fr_female$Type: Predicted Year: 1995 Ex: 32.379998","Age: 52 ex_fr_female$Type: Predicted Year: 1996 Ex: 32.435690","Age: 52 ex_fr_female$Type: Predicted Year: 1997 Ex: 32.612810","Age: 52 ex_fr_female$Type: Predicted Year: 1998 Ex: 32.684096","Age: 52 ex_fr_female$Type: Predicted Year: 1999 Ex: 32.764980","Age: 52 ex_fr_female$Type: Predicted Year: 2000 Ex: 33.018836","Age: 52 ex_fr_female$Type: Predicted Year: 2001 Ex: 33.168028","Age: 52 ex_fr_female$Type: Predicted Year: 2002 Ex: 33.206373","Age: 52 ex_fr_female$Type: Predicted Year: 2003 Ex: 33.055148","Age: 52 ex_fr_female$Type: Predicted Year: 2004 Ex: 33.919072","Age: 52 ex_fr_female$Type: Predicted Year: 2005 Ex: 33.813837","Age: 52 ex_fr_female$Type: Predicted Year: 2006 Ex: 34.152329","Age: 52 ex_fr_female$Type: Predicted Year: 2007 Ex: 34.279928","Age: 52 ex_fr_female$Type: Predicted Year: 2008 Ex: 34.248557","Age: 52 ex_fr_female$Type: Predicted Year: 2009 Ex: 34.347742","Age: 52 ex_fr_female$Type: Predicted Year: 2010 Ex: 34.506732","Age: 52 ex_fr_female$Type: Predicted Year: 2011 Ex: 34.798165","Age: 52 ex_fr_female$Type: Predicted Year: 2012 Ex: 34.611463","Age: 52 ex_fr_female$Type: Predicted Year: 2013 Ex: 34.800752","Age: 52 ex_fr_female$Type: Predicted Year: 2014 Ex: 35.155218","Age: 52 ex_fr_female$Type: Predicted Year: 2015 Ex: 34.861703","Age: 52 ex_fr_female$Type: Predicted Year: 2016 Ex: 35.017848","Age: 52 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1926 Ex: 20.770000","Age: 53 ex_fr_female$Type: Observed Year: 1927 Ex: 21.050000","Age: 53 ex_fr_female$Type: Observed Year: 1928 Ex: 21.220000","Age: 53 ex_fr_female$Type: Observed Year: 1929 Ex: 20.330000","Age: 53 ex_fr_female$Type: Observed Year: 1930 Ex: 21.650000","Age: 53 ex_fr_female$Type: Observed Year: 1931 Ex: 21.070000","Age: 53 ex_fr_female$Type: Observed Year: 1932 Ex: 21.390000","Age: 53 ex_fr_female$Type: Observed Year: 1933 Ex: 21.340000","Age: 53 ex_fr_female$Type: Observed Year: 1934 Ex: 21.880000","Age: 53 ex_fr_female$Type: Observed Year: 1935 Ex: 21.460000","Age: 53 ex_fr_female$Type: Observed Year: 1936 Ex: 21.730000","Age: 53 ex_fr_female$Type: Observed Year: 1937 Ex: 22.020000","Age: 53 ex_fr_female$Type: Observed Year: 1938 Ex: 21.790000","Age: 53 ex_fr_female$Type: Observed Year: 1939 Ex: 21.730000","Age: 53 ex_fr_female$Type: Observed Year: 1940 Ex: 20.330000","Age: 53 ex_fr_female$Type: Observed Year: 1941 Ex: 21.430000","Age: 53 ex_fr_female$Type: Observed Year: 1942 Ex: 21.640000","Age: 53 ex_fr_female$Type: Observed Year: 1943 Ex: 21.890000","Age: 53 ex_fr_female$Type: Observed Year: 1944 Ex: 20.890000","Age: 53 ex_fr_female$Type: Observed Year: 1945 Ex: 22.120000","Age: 53 ex_fr_female$Type: Observed Year: 1946 Ex: 23.490000","Age: 53 ex_fr_female$Type: Observed Year: 1947 Ex: 23.800000","Age: 53 ex_fr_female$Type: Observed Year: 1948 Ex: 24.320000","Age: 53 ex_fr_female$Type: Observed Year: 1949 Ex: 23.240000","Age: 53 ex_fr_female$Type: Observed Year: 1950 Ex: 23.960000","Age: 53 ex_fr_female$Type: Observed Year: 1951 Ex: 23.490000","Age: 53 ex_fr_female$Type: Observed Year: 1952 Ex: 24.230000","Age: 53 ex_fr_female$Type: Observed Year: 1953 Ex: 23.730000","Age: 53 ex_fr_female$Type: Observed Year: 1954 Ex: 24.550000","Age: 53 ex_fr_female$Type: Observed Year: 1955 Ex: 24.570000","Age: 53 ex_fr_female$Type: Observed Year: 1956 Ex: 24.400000","Age: 53 ex_fr_female$Type: Observed Year: 1957 Ex: 24.780000","Age: 53 ex_fr_female$Type: Observed Year: 1958 Ex: 25.350000","Age: 53 ex_fr_female$Type: Observed Year: 1959 Ex: 25.400000","Age: 53 ex_fr_female$Type: Observed Year: 1960 Ex: 25.380000","Age: 53 ex_fr_female$Type: Observed Year: 1961 Ex: 25.950000","Age: 53 ex_fr_female$Type: Observed Year: 1962 Ex: 25.460000","Age: 53 ex_fr_female$Type: Observed Year: 1963 Ex: 25.390000","Age: 53 ex_fr_female$Type: Observed Year: 1964 Ex: 26.180000","Age: 53 ex_fr_female$Type: Observed Year: 1965 Ex: 25.980000","Age: 53 ex_fr_female$Type: Observed Year: 1966 Ex: 26.370000","Age: 53 ex_fr_female$Type: Observed Year: 1967 Ex: 26.340000","Age: 53 ex_fr_female$Type: Observed Year: 1968 Ex: 26.320000","Age: 53 ex_fr_female$Type: Observed Year: 1969 Ex: 26.130000","Age: 53 ex_fr_female$Type: Observed Year: 1970 Ex: 26.730000","Age: 53 ex_fr_female$Type: Observed Year: 1971 Ex: 26.750000","Age: 53 ex_fr_female$Type: Observed Year: 1972 Ex: 26.990000","Age: 53 ex_fr_female$Type: Observed Year: 1973 Ex: 26.980000","Age: 53 ex_fr_female$Type: Observed Year: 1974 Ex: 27.260000","Age: 53 ex_fr_female$Type: Observed Year: 1975 Ex: 27.280000","Age: 53 ex_fr_female$Type: Observed Year: 1976 Ex: 27.530000","Age: 53 ex_fr_female$Type: Observed Year: 1977 Ex: 28.060000","Age: 53 ex_fr_female$Type: Observed Year: 1978 Ex: 28.060000","Age: 53 ex_fr_female$Type: Observed Year: 1979 Ex: 28.330000","Age: 53 ex_fr_female$Type: Observed Year: 1980 Ex: 28.450000","Age: 53 ex_fr_female$Type: Observed Year: 1981 Ex: 28.450000","Age: 53 ex_fr_female$Type: Observed Year: 1982 Ex: 28.790000","Age: 53 ex_fr_female$Type: Observed Year: 1983 Ex: 28.680000","Age: 53 ex_fr_female$Type: Observed Year: 1984 Ex: 29.130000","Age: 53 ex_fr_female$Type: Observed Year: 1985 Ex: 29.130000","Age: 53 ex_fr_female$Type: Observed Year: 1986 Ex: 29.360000","Age: 53 ex_fr_female$Type: Observed Year: 1987 Ex: 29.850000","Age: 53 ex_fr_female$Type: Observed Year: 1988 Ex: 30.050000","Age: 53 ex_fr_female$Type: Observed Year: 1989 Ex: 30.200000","Age: 53 ex_fr_female$Type: Observed Year: 1990 Ex: 30.420000","Age: 53 ex_fr_female$Type: Observed Year: 1991 Ex: 30.640000","Age: 53 ex_fr_female$Type: Observed Year: 1992 Ex: 30.860000","Age: 53 ex_fr_female$Type: Observed Year: 1993 Ex: 30.860000","Age: 53 ex_fr_female$Type: Observed Year: 1994 Ex: 31.230000","Age: 53 ex_fr_female$Type: Observed Year: 1995 Ex: 31.210000","Age: 53 ex_fr_female$Type: Observed Year: 1996 Ex: 31.270000","Age: 53 ex_fr_female$Type: Observed Year: 1997 Ex: 31.450000","Age: 53 ex_fr_female$Type: Observed Year: 1998 Ex: 31.520000","Age: 53 ex_fr_female$Type: Observed Year: 1999 Ex: 31.600000","Age: 53 ex_fr_female$Type: Observed Year: 2000 Ex: 31.850000","Age: 53 ex_fr_female$Type: Observed Year: 2001 Ex: 32.000000","Age: 53 ex_fr_female$Type: Observed Year: 2002 Ex: 32.040000","Age: 53 ex_fr_female$Type: Observed Year: 2003 Ex: 31.890000","Age: 53 ex_fr_female$Type: Observed Year: 2004 Ex: 32.750000","Age: 53 ex_fr_female$Type: Observed Year: 2005 Ex: 32.650000","Age: 53 ex_fr_female$Type: Observed Year: 2006 Ex: 32.990000","Age: 53 ex_fr_female$Type: Observed Year: 2007 Ex: 33.110000","Age: 53 ex_fr_female$Type: Observed Year: 2008 Ex: 33.090000","Age: 53 ex_fr_female$Type: Observed Year: 2009 Ex: 33.180000","Age: 53 ex_fr_female$Type: Observed Year: 2010 Ex: 33.340000","Age: 53 ex_fr_female$Type: Observed Year: 2011 Ex: 33.630000","Age: 53 ex_fr_female$Type: Observed Year: 2012 Ex: 33.440000","Age: 53 ex_fr_female$Type: Observed Year: 2013 Ex: 33.630000","Age: 53 ex_fr_female$Type: Observed Year: 2014 Ex: 33.980000","Age: 53 ex_fr_female$Type: Observed Year: 2015 Ex: 33.680000","Age: 53 ex_fr_female$Type: Observed Year: 2016 Ex: 33.840000","Age: 53 ex_fr_female$Type: Observed Year: 2017 Ex: 33.790000"],"frame":"53","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[18.1830202908453,18.272702956645,18.2973194008112,18.4855058958802,18.0520386724046,19.0380664019739,19.0809521176248,19.1913676630667,19.3188066841175,18.9492092363085,18.4115919176705,18.6779728553076,18.4296872383087,18.2575667830264,18.2989681727343,18.6649806272826,16.6591519800955,18.6180047055176,18.1168412874719,18.6517830368016,19.1043834790936,17.4079929497154,18.5739675412068,19.1325124177992,18.6122618103851,19.3255432299778,18.6789364449535,19.0870910120348,19.1648989098984,19.4474461601965,19.1355188547974,18.0937178781678,18.4327431486319,17.4316800699678,19.1616559545234,19.0201700539006,19.0168619786188,18.7647628542015,17.0397313574395,17.8477310662837,19.0472563452551,18.5884054025015,18.0548345504392,18.2437897128486,19.1868319668818,19.1459337812817,19.3002398431758,19.0555398257121,18.7631355196083,18.5669981124396,18.7449847317904,18.8986955304992,18.7629984242598,18.8914573537476,17.7189295634413,17.0098072826729,19.820429145139,19.2053386180869,19.6041246935576,18.9097240908772,19.3988280310362,19.7601736024812,19.2672370643208,19.0197520680496,19.3359764402363,19.7543873179562,19.7056212292662,19.670834344472,19.723158164822,19.7247052585954,19.6021305911554,19.5357788459179,19.5743536638401,19.9728323837453,19.031534313088,18.7496090160562,18.9232942775351,19.0811613408391,19.6123786172958,19.1937550544273,20.0653242963723,20.3621917788371,19.6509777558409,19.7025700498697,18.9835603466633,19.8092867020399,20.101493363129,20.1233659120197,20.0600233616291,19.8237281811489,19.8949076537399,19.4695323552474,20.1057913760006,19.6580253617481,20.5075451599514,19.9386863111706,20.6267524647457,20.6363976377838,20.0347081082764,20.1111505748196,20.3416008441226,20.1713437844082,19.7633455353625,20.3266267277643,21.2181803607535,21.082304626995,20.6710078827641,21.3258706163117,21.0472642160152,20.9433500071344,21.0463756250276,21.3209882716462,21.4960346385909,20.6090121118052,21.9216048068874,21.3447693682428,21.6617449138472,21.6112551929196,22.1527252570007,21.7295792960324,22.0082574465353,22.2943996752675,22.0585537560682,22.0063099132447,20.598529301542,21.7005049791797,21.9128493371296,22.1623701889953,21.1646687344042,22.3963461972525,23.7610390915524,24.0694469792242,24.594766883349,23.5149163108576,24.2335283683903,23.7608793484143,24.5019553852175,24.0027525384788,24.8147505979832,24.8384376209597,24.6671966636515,25.0459141754222,25.6169241343357,25.668794489572,25.6443884460106,26.2216302725186,25.727409465683,25.6568254956914,26.4509701281891,26.2445820973425,26.6421624133996,26.6101925546041,26.5836614513621,26.392913637985,26.991380946153,27.012993044464,27.2556081971507,27.2481174540322,27.5219951664331,27.5482700743072,27.795099255072,28.3290025033077,28.3303313111133,28.5975999832919,28.7129419724719,28.710275439064,29.0583446055679,28.9426390376059,29.3944634592091,29.3980222285433,29.6189384064595,30.1121510200337,30.3153449370967,30.4640021536767,30.6782584485702,30.9054580008394,31.1238071084337,31.1185677814267,31.4932176589111,31.4713055952082,31.532281991172,31.7080047339317,31.7814388919105,31.861920301823,32.1139299986783,32.2589714848619,32.3003751678483,32.148715316742,33.0111012525889,32.9039063140172,33.2470249213769,33.3709184219228,33.3452158857911,33.4429875841061,33.5949237326474,33.8895200463463,33.7012943598704,33.8831725592574,34.2416168819042,33.9411704467454,34.0980220941008,34.0473014419606],"text":["Age: 53 ex_fr_female$Type: Predicted Year: 1816 Ex: 18.183020","Age: 53 ex_fr_female$Type: Predicted Year: 1817 Ex: 18.272703","Age: 53 ex_fr_female$Type: Predicted Year: 1818 Ex: 18.297319","Age: 53 ex_fr_female$Type: Predicted Year: 1819 Ex: 18.485506","Age: 53 ex_fr_female$Type: Predicted Year: 1820 Ex: 18.052039","Age: 53 ex_fr_female$Type: Predicted Year: 1821 Ex: 19.038066","Age: 53 ex_fr_female$Type: Predicted Year: 1822 Ex: 19.080952","Age: 53 ex_fr_female$Type: Predicted Year: 1823 Ex: 19.191368","Age: 53 ex_fr_female$Type: Predicted Year: 1824 Ex: 19.318807","Age: 53 ex_fr_female$Type: Predicted Year: 1825 Ex: 18.949209","Age: 53 ex_fr_female$Type: Predicted Year: 1826 Ex: 18.411592","Age: 53 ex_fr_female$Type: Predicted Year: 1827 Ex: 18.677973","Age: 53 ex_fr_female$Type: Predicted Year: 1828 Ex: 18.429687","Age: 53 ex_fr_female$Type: Predicted Year: 1829 Ex: 18.257567","Age: 53 ex_fr_female$Type: Predicted Year: 1830 Ex: 18.298968","Age: 53 ex_fr_female$Type: Predicted Year: 1831 Ex: 18.664981","Age: 53 ex_fr_female$Type: Predicted Year: 1832 Ex: 16.659152","Age: 53 ex_fr_female$Type: Predicted Year: 1833 Ex: 18.618005","Age: 53 ex_fr_female$Type: Predicted Year: 1834 Ex: 18.116841","Age: 53 ex_fr_female$Type: Predicted Year: 1835 Ex: 18.651783","Age: 53 ex_fr_female$Type: Predicted Year: 1836 Ex: 19.104383","Age: 53 ex_fr_female$Type: Predicted Year: 1837 Ex: 17.407993","Age: 53 ex_fr_female$Type: Predicted Year: 1838 Ex: 18.573968","Age: 53 ex_fr_female$Type: Predicted Year: 1839 Ex: 19.132512","Age: 53 ex_fr_female$Type: Predicted Year: 1840 Ex: 18.612262","Age: 53 ex_fr_female$Type: Predicted Year: 1841 Ex: 19.325543","Age: 53 ex_fr_female$Type: Predicted Year: 1842 Ex: 18.678936","Age: 53 ex_fr_female$Type: Predicted Year: 1843 Ex: 19.087091","Age: 53 ex_fr_female$Type: Predicted Year: 1844 Ex: 19.164899","Age: 53 ex_fr_female$Type: Predicted Year: 1845 Ex: 19.447446","Age: 53 ex_fr_female$Type: Predicted Year: 1846 Ex: 19.135519","Age: 53 ex_fr_female$Type: Predicted Year: 1847 Ex: 18.093718","Age: 53 ex_fr_female$Type: Predicted Year: 1848 Ex: 18.432743","Age: 53 ex_fr_female$Type: Predicted Year: 1849 Ex: 17.431680","Age: 53 ex_fr_female$Type: Predicted Year: 1850 Ex: 19.161656","Age: 53 ex_fr_female$Type: Predicted Year: 1851 Ex: 19.020170","Age: 53 ex_fr_female$Type: Predicted Year: 1852 Ex: 19.016862","Age: 53 ex_fr_female$Type: Predicted Year: 1853 Ex: 18.764763","Age: 53 ex_fr_female$Type: Predicted Year: 1854 Ex: 17.039731","Age: 53 ex_fr_female$Type: Predicted Year: 1855 Ex: 17.847731","Age: 53 ex_fr_female$Type: Predicted Year: 1856 Ex: 19.047256","Age: 53 ex_fr_female$Type: Predicted Year: 1857 Ex: 18.588405","Age: 53 ex_fr_female$Type: Predicted Year: 1858 Ex: 18.054835","Age: 53 ex_fr_female$Type: Predicted Year: 1859 Ex: 18.243790","Age: 53 ex_fr_female$Type: Predicted Year: 1860 Ex: 19.186832","Age: 53 ex_fr_female$Type: Predicted Year: 1861 Ex: 19.145934","Age: 53 ex_fr_female$Type: Predicted Year: 1862 Ex: 19.300240","Age: 53 ex_fr_female$Type: Predicted Year: 1863 Ex: 19.055540","Age: 53 ex_fr_female$Type: Predicted Year: 1864 Ex: 18.763136","Age: 53 ex_fr_female$Type: Predicted Year: 1865 Ex: 18.566998","Age: 53 ex_fr_female$Type: Predicted Year: 1866 Ex: 18.744985","Age: 53 ex_fr_female$Type: Predicted Year: 1867 Ex: 18.898696","Age: 53 ex_fr_female$Type: Predicted Year: 1868 Ex: 18.762998","Age: 53 ex_fr_female$Type: Predicted Year: 1869 Ex: 18.891457","Age: 53 ex_fr_female$Type: Predicted Year: 1870 Ex: 17.718930","Age: 53 ex_fr_female$Type: Predicted Year: 1871 Ex: 17.009807","Age: 53 ex_fr_female$Type: Predicted Year: 1872 Ex: 19.820429","Age: 53 ex_fr_female$Type: Predicted Year: 1873 Ex: 19.205339","Age: 53 ex_fr_female$Type: Predicted Year: 1874 Ex: 19.604125","Age: 53 ex_fr_female$Type: Predicted Year: 1875 Ex: 18.909724","Age: 53 ex_fr_female$Type: Predicted Year: 1876 Ex: 19.398828","Age: 53 ex_fr_female$Type: Predicted Year: 1877 Ex: 19.760174","Age: 53 ex_fr_female$Type: Predicted Year: 1878 Ex: 19.267237","Age: 53 ex_fr_female$Type: Predicted Year: 1879 Ex: 19.019752","Age: 53 ex_fr_female$Type: Predicted Year: 1880 Ex: 19.335976","Age: 53 ex_fr_female$Type: Predicted Year: 1881 Ex: 19.754387","Age: 53 ex_fr_female$Type: Predicted Year: 1882 Ex: 19.705621","Age: 53 ex_fr_female$Type: Predicted Year: 1883 Ex: 19.670834","Age: 53 ex_fr_female$Type: Predicted Year: 1884 Ex: 19.723158","Age: 53 ex_fr_female$Type: Predicted Year: 1885 Ex: 19.724705","Age: 53 ex_fr_female$Type: Predicted Year: 1886 Ex: 19.602131","Age: 53 ex_fr_female$Type: Predicted Year: 1887 Ex: 19.535779","Age: 53 ex_fr_female$Type: Predicted Year: 1888 Ex: 19.574354","Age: 53 ex_fr_female$Type: Predicted Year: 1889 Ex: 19.972832","Age: 53 ex_fr_female$Type: Predicted Year: 1890 Ex: 19.031534","Age: 53 ex_fr_female$Type: Predicted Year: 1891 Ex: 18.749609","Age: 53 ex_fr_female$Type: Predicted Year: 1892 Ex: 18.923294","Age: 53 ex_fr_female$Type: Predicted Year: 1893 Ex: 19.081161","Age: 53 ex_fr_female$Type: Predicted Year: 1894 Ex: 19.612379","Age: 53 ex_fr_female$Type: Predicted Year: 1895 Ex: 19.193755","Age: 53 ex_fr_female$Type: Predicted Year: 1896 Ex: 20.065324","Age: 53 ex_fr_female$Type: Predicted Year: 1897 Ex: 20.362192","Age: 53 ex_fr_female$Type: Predicted Year: 1898 Ex: 19.650978","Age: 53 ex_fr_female$Type: Predicted Year: 1899 Ex: 19.702570","Age: 53 ex_fr_female$Type: Predicted Year: 1900 Ex: 18.983560","Age: 53 ex_fr_female$Type: Predicted Year: 1901 Ex: 19.809287","Age: 53 ex_fr_female$Type: Predicted Year: 1902 Ex: 20.101493","Age: 53 ex_fr_female$Type: Predicted Year: 1903 Ex: 20.123366","Age: 53 ex_fr_female$Type: Predicted Year: 1904 Ex: 20.060023","Age: 53 ex_fr_female$Type: Predicted Year: 1905 Ex: 19.823728","Age: 53 ex_fr_female$Type: Predicted Year: 1906 Ex: 19.894908","Age: 53 ex_fr_female$Type: Predicted Year: 1907 Ex: 19.469532","Age: 53 ex_fr_female$Type: Predicted Year: 1908 Ex: 20.105791","Age: 53 ex_fr_female$Type: Predicted Year: 1909 Ex: 19.658025","Age: 53 ex_fr_female$Type: Predicted Year: 1910 Ex: 20.507545","Age: 53 ex_fr_female$Type: Predicted Year: 1911 Ex: 19.938686","Age: 53 ex_fr_female$Type: Predicted Year: 1912 Ex: 20.626752","Age: 53 ex_fr_female$Type: Predicted Year: 1913 Ex: 20.636398","Age: 53 ex_fr_female$Type: Predicted Year: 1914 Ex: 20.034708","Age: 53 ex_fr_female$Type: Predicted Year: 1915 Ex: 20.111151","Age: 53 ex_fr_female$Type: Predicted Year: 1916 Ex: 20.341601","Age: 53 ex_fr_female$Type: Predicted Year: 1917 Ex: 20.171344","Age: 53 ex_fr_female$Type: Predicted Year: 1918 Ex: 19.763346","Age: 53 ex_fr_female$Type: Predicted Year: 1919 Ex: 20.326627","Age: 53 ex_fr_female$Type: Predicted Year: 1920 Ex: 21.218180","Age: 53 ex_fr_female$Type: Predicted Year: 1921 Ex: 21.082305","Age: 53 ex_fr_female$Type: Predicted Year: 1922 Ex: 20.671008","Age: 53 ex_fr_female$Type: Predicted Year: 1923 Ex: 21.325871","Age: 53 ex_fr_female$Type: Predicted Year: 1924 Ex: 21.047264","Age: 53 ex_fr_female$Type: Predicted Year: 1925 Ex: 20.943350","Age: 53 ex_fr_female$Type: Predicted Year: 1926 Ex: 21.046376","Age: 53 ex_fr_female$Type: Predicted Year: 1927 Ex: 21.320988","Age: 53 ex_fr_female$Type: Predicted Year: 1928 Ex: 21.496035","Age: 53 ex_fr_female$Type: Predicted Year: 1929 Ex: 20.609012","Age: 53 ex_fr_female$Type: Predicted Year: 1930 Ex: 21.921605","Age: 53 ex_fr_female$Type: Predicted Year: 1931 Ex: 21.344769","Age: 53 ex_fr_female$Type: Predicted Year: 1932 Ex: 21.661745","Age: 53 ex_fr_female$Type: Predicted Year: 1933 Ex: 21.611255","Age: 53 ex_fr_female$Type: Predicted Year: 1934 Ex: 22.152725","Age: 53 ex_fr_female$Type: Predicted Year: 1935 Ex: 21.729579","Age: 53 ex_fr_female$Type: Predicted Year: 1936 Ex: 22.008257","Age: 53 ex_fr_female$Type: Predicted Year: 1937 Ex: 22.294400","Age: 53 ex_fr_female$Type: Predicted Year: 1938 Ex: 22.058554","Age: 53 ex_fr_female$Type: Predicted Year: 1939 Ex: 22.006310","Age: 53 ex_fr_female$Type: Predicted Year: 1940 Ex: 20.598529","Age: 53 ex_fr_female$Type: Predicted Year: 1941 Ex: 21.700505","Age: 53 ex_fr_female$Type: Predicted Year: 1942 Ex: 21.912849","Age: 53 ex_fr_female$Type: Predicted Year: 1943 Ex: 22.162370","Age: 53 ex_fr_female$Type: Predicted Year: 1944 Ex: 21.164669","Age: 53 ex_fr_female$Type: Predicted Year: 1945 Ex: 22.396346","Age: 53 ex_fr_female$Type: Predicted Year: 1946 Ex: 23.761039","Age: 53 ex_fr_female$Type: Predicted Year: 1947 Ex: 24.069447","Age: 53 ex_fr_female$Type: Predicted Year: 1948 Ex: 24.594767","Age: 53 ex_fr_female$Type: Predicted Year: 1949 Ex: 23.514916","Age: 53 ex_fr_female$Type: Predicted Year: 1950 Ex: 24.233528","Age: 53 ex_fr_female$Type: Predicted Year: 1951 Ex: 23.760879","Age: 53 ex_fr_female$Type: Predicted Year: 1952 Ex: 24.501955","Age: 53 ex_fr_female$Type: Predicted Year: 1953 Ex: 24.002753","Age: 53 ex_fr_female$Type: Predicted Year: 1954 Ex: 24.814751","Age: 53 ex_fr_female$Type: Predicted Year: 1955 Ex: 24.838438","Age: 53 ex_fr_female$Type: Predicted Year: 1956 Ex: 24.667197","Age: 53 ex_fr_female$Type: Predicted Year: 1957 Ex: 25.045914","Age: 53 ex_fr_female$Type: Predicted Year: 1958 Ex: 25.616924","Age: 53 ex_fr_female$Type: Predicted Year: 1959 Ex: 25.668794","Age: 53 ex_fr_female$Type: Predicted Year: 1960 Ex: 25.644388","Age: 53 ex_fr_female$Type: Predicted Year: 1961 Ex: 26.221630","Age: 53 ex_fr_female$Type: Predicted Year: 1962 Ex: 25.727409","Age: 53 ex_fr_female$Type: Predicted Year: 1963 Ex: 25.656825","Age: 53 ex_fr_female$Type: Predicted Year: 1964 Ex: 26.450970","Age: 53 ex_fr_female$Type: Predicted Year: 1965 Ex: 26.244582","Age: 53 ex_fr_female$Type: Predicted Year: 1966 Ex: 26.642162","Age: 53 ex_fr_female$Type: Predicted Year: 1967 Ex: 26.610193","Age: 53 ex_fr_female$Type: Predicted Year: 1968 Ex: 26.583661","Age: 53 ex_fr_female$Type: Predicted Year: 1969 Ex: 26.392914","Age: 53 ex_fr_female$Type: Predicted Year: 1970 Ex: 26.991381","Age: 53 ex_fr_female$Type: Predicted Year: 1971 Ex: 27.012993","Age: 53 ex_fr_female$Type: Predicted Year: 1972 Ex: 27.255608","Age: 53 ex_fr_female$Type: Predicted Year: 1973 Ex: 27.248117","Age: 53 ex_fr_female$Type: Predicted Year: 1974 Ex: 27.521995","Age: 53 ex_fr_female$Type: Predicted Year: 1975 Ex: 27.548270","Age: 53 ex_fr_female$Type: Predicted Year: 1976 Ex: 27.795099","Age: 53 ex_fr_female$Type: Predicted Year: 1977 Ex: 28.329003","Age: 53 ex_fr_female$Type: Predicted Year: 1978 Ex: 28.330331","Age: 53 ex_fr_female$Type: Predicted Year: 1979 Ex: 28.597600","Age: 53 ex_fr_female$Type: Predicted Year: 1980 Ex: 28.712942","Age: 53 ex_fr_female$Type: Predicted Year: 1981 Ex: 28.710275","Age: 53 ex_fr_female$Type: Predicted Year: 1982 Ex: 29.058345","Age: 53 ex_fr_female$Type: Predicted Year: 1983 Ex: 28.942639","Age: 53 ex_fr_female$Type: Predicted Year: 1984 Ex: 29.394463","Age: 53 ex_fr_female$Type: Predicted Year: 1985 Ex: 29.398022","Age: 53 ex_fr_female$Type: Predicted Year: 1986 Ex: 29.618938","Age: 53 ex_fr_female$Type: Predicted Year: 1987 Ex: 30.112151","Age: 53 ex_fr_female$Type: Predicted Year: 1988 Ex: 30.315345","Age: 53 ex_fr_female$Type: Predicted Year: 1989 Ex: 30.464002","Age: 53 ex_fr_female$Type: Predicted Year: 1990 Ex: 30.678258","Age: 53 ex_fr_female$Type: Predicted Year: 1991 Ex: 30.905458","Age: 53 ex_fr_female$Type: Predicted Year: 1992 Ex: 31.123807","Age: 53 ex_fr_female$Type: Predicted Year: 1993 Ex: 31.118568","Age: 53 ex_fr_female$Type: Predicted Year: 1994 Ex: 31.493218","Age: 53 ex_fr_female$Type: Predicted Year: 1995 Ex: 31.471306","Age: 53 ex_fr_female$Type: Predicted Year: 1996 Ex: 31.532282","Age: 53 ex_fr_female$Type: Predicted Year: 1997 Ex: 31.708005","Age: 53 ex_fr_female$Type: Predicted Year: 1998 Ex: 31.781439","Age: 53 ex_fr_female$Type: Predicted Year: 1999 Ex: 31.861920","Age: 53 ex_fr_female$Type: Predicted Year: 2000 Ex: 32.113930","Age: 53 ex_fr_female$Type: Predicted Year: 2001 Ex: 32.258971","Age: 53 ex_fr_female$Type: Predicted Year: 2002 Ex: 32.300375","Age: 53 ex_fr_female$Type: Predicted Year: 2003 Ex: 32.148715","Age: 53 ex_fr_female$Type: Predicted Year: 2004 Ex: 33.011101","Age: 53 ex_fr_female$Type: Predicted Year: 2005 Ex: 32.903906","Age: 53 ex_fr_female$Type: Predicted Year: 2006 Ex: 33.247025","Age: 53 ex_fr_female$Type: Predicted Year: 2007 Ex: 33.370918","Age: 53 ex_fr_female$Type: Predicted Year: 2008 Ex: 33.345216","Age: 53 ex_fr_female$Type: Predicted Year: 2009 Ex: 33.442988","Age: 53 ex_fr_female$Type: Predicted Year: 2010 Ex: 33.594924","Age: 53 ex_fr_female$Type: Predicted Year: 2011 Ex: 33.889520","Age: 53 ex_fr_female$Type: Predicted Year: 2012 Ex: 33.701294","Age: 53 ex_fr_female$Type: Predicted Year: 2013 Ex: 33.883173","Age: 53 ex_fr_female$Type: Predicted Year: 2014 Ex: 34.241617","Age: 53 ex_fr_female$Type: Predicted Year: 2015 Ex: 33.941170","Age: 53 ex_fr_female$Type: Predicted Year: 2016 Ex: 34.098022","Age: 53 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1926 Ex: 20.020000","Age: 54 ex_fr_female$Type: Observed Year: 1927 Ex: 20.290000","Age: 54 ex_fr_female$Type: Observed Year: 1928 Ex: 20.460000","Age: 54 ex_fr_female$Type: Observed Year: 1929 Ex: 19.580000","Age: 54 ex_fr_female$Type: Observed Year: 1930 Ex: 20.890000","Age: 54 ex_fr_female$Type: Observed Year: 1931 Ex: 20.320000","Age: 54 ex_fr_female$Type: Observed Year: 1932 Ex: 20.620000","Age: 54 ex_fr_female$Type: Observed Year: 1933 Ex: 20.570000","Age: 54 ex_fr_female$Type: Observed Year: 1934 Ex: 21.100000","Age: 54 ex_fr_female$Type: Observed Year: 1935 Ex: 20.700000","Age: 54 ex_fr_female$Type: Observed Year: 1936 Ex: 20.970000","Age: 54 ex_fr_female$Type: Observed Year: 1937 Ex: 21.260000","Age: 54 ex_fr_female$Type: Observed Year: 1938 Ex: 21.020000","Age: 54 ex_fr_female$Type: Observed Year: 1939 Ex: 20.960000","Age: 54 ex_fr_female$Type: Observed Year: 1940 Ex: 19.570000","Age: 54 ex_fr_female$Type: Observed Year: 1941 Ex: 20.670000","Age: 54 ex_fr_female$Type: Observed Year: 1942 Ex: 20.860000","Age: 54 ex_fr_female$Type: Observed Year: 1943 Ex: 21.120000","Age: 54 ex_fr_female$Type: Observed Year: 1944 Ex: 20.140000","Age: 54 ex_fr_female$Type: Observed Year: 1945 Ex: 21.330000","Age: 54 ex_fr_female$Type: Observed Year: 1946 Ex: 22.670000","Age: 54 ex_fr_female$Type: Observed Year: 1947 Ex: 22.970000","Age: 54 ex_fr_female$Type: Observed Year: 1948 Ex: 23.500000","Age: 54 ex_fr_female$Type: Observed Year: 1949 Ex: 22.420000","Age: 54 ex_fr_female$Type: Observed Year: 1950 Ex: 23.140000","Age: 54 ex_fr_female$Type: Observed Year: 1951 Ex: 22.680000","Age: 54 ex_fr_female$Type: Observed Year: 1952 Ex: 23.410000","Age: 54 ex_fr_female$Type: Observed Year: 1953 Ex: 22.910000","Age: 54 ex_fr_female$Type: Observed Year: 1954 Ex: 23.710000","Age: 54 ex_fr_female$Type: Observed Year: 1955 Ex: 23.730000","Age: 54 ex_fr_female$Type: Observed Year: 1956 Ex: 23.570000","Age: 54 ex_fr_female$Type: Observed Year: 1957 Ex: 23.940000","Age: 54 ex_fr_female$Type: Observed Year: 1958 Ex: 24.500000","Age: 54 ex_fr_female$Type: Observed Year: 1959 Ex: 24.550000","Age: 54 ex_fr_female$Type: Observed Year: 1960 Ex: 24.530000","Age: 54 ex_fr_female$Type: Observed Year: 1961 Ex: 25.100000","Age: 54 ex_fr_female$Type: Observed Year: 1962 Ex: 24.600000","Age: 54 ex_fr_female$Type: Observed Year: 1963 Ex: 24.530000","Age: 54 ex_fr_female$Type: Observed Year: 1964 Ex: 25.320000","Age: 54 ex_fr_female$Type: Observed Year: 1965 Ex: 25.120000","Age: 54 ex_fr_female$Type: Observed Year: 1966 Ex: 25.510000","Age: 54 ex_fr_female$Type: Observed Year: 1967 Ex: 25.490000","Age: 54 ex_fr_female$Type: Observed Year: 1968 Ex: 25.450000","Age: 54 ex_fr_female$Type: Observed Year: 1969 Ex: 25.270000","Age: 54 ex_fr_female$Type: Observed Year: 1970 Ex: 25.870000","Age: 54 ex_fr_female$Type: Observed Year: 1971 Ex: 25.890000","Age: 54 ex_fr_female$Type: Observed Year: 1972 Ex: 26.120000","Age: 54 ex_fr_female$Type: Observed Year: 1973 Ex: 26.110000","Age: 54 ex_fr_female$Type: Observed Year: 1974 Ex: 26.390000","Age: 54 ex_fr_female$Type: Observed Year: 1975 Ex: 26.410000","Age: 54 ex_fr_female$Type: Observed Year: 1976 Ex: 26.660000","Age: 54 ex_fr_female$Type: Observed Year: 1977 Ex: 27.190000","Age: 54 ex_fr_female$Type: Observed Year: 1978 Ex: 27.180000","Age: 54 ex_fr_female$Type: Observed Year: 1979 Ex: 27.450000","Age: 54 ex_fr_female$Type: Observed Year: 1980 Ex: 27.570000","Age: 54 ex_fr_female$Type: Observed Year: 1981 Ex: 27.560000","Age: 54 ex_fr_female$Type: Observed Year: 1982 Ex: 27.910000","Age: 54 ex_fr_female$Type: Observed Year: 1983 Ex: 27.800000","Age: 54 ex_fr_female$Type: Observed Year: 1984 Ex: 28.240000","Age: 54 ex_fr_female$Type: Observed Year: 1985 Ex: 28.250000","Age: 54 ex_fr_female$Type: Observed Year: 1986 Ex: 28.470000","Age: 54 ex_fr_female$Type: Observed Year: 1987 Ex: 28.950000","Age: 54 ex_fr_female$Type: Observed Year: 1988 Ex: 29.170000","Age: 54 ex_fr_female$Type: Observed Year: 1989 Ex: 29.300000","Age: 54 ex_fr_female$Type: Observed Year: 1990 Ex: 29.510000","Age: 54 ex_fr_female$Type: Observed Year: 1991 Ex: 29.740000","Age: 54 ex_fr_female$Type: Observed Year: 1992 Ex: 29.960000","Age: 54 ex_fr_female$Type: Observed Year: 1993 Ex: 29.950000","Age: 54 ex_fr_female$Type: Observed Year: 1994 Ex: 30.330000","Age: 54 ex_fr_female$Type: Observed Year: 1995 Ex: 30.310000","Age: 54 ex_fr_female$Type: Observed Year: 1996 Ex: 30.370000","Age: 54 ex_fr_female$Type: Observed Year: 1997 Ex: 30.550000","Age: 54 ex_fr_female$Type: Observed Year: 1998 Ex: 30.620000","Age: 54 ex_fr_female$Type: Observed Year: 1999 Ex: 30.690000","Age: 54 ex_fr_female$Type: Observed Year: 2000 Ex: 30.950000","Age: 54 ex_fr_female$Type: Observed Year: 2001 Ex: 31.090000","Age: 54 ex_fr_female$Type: Observed Year: 2002 Ex: 31.140000","Age: 54 ex_fr_female$Type: Observed Year: 2003 Ex: 30.990000","Age: 54 ex_fr_female$Type: Observed Year: 2004 Ex: 31.850000","Age: 54 ex_fr_female$Type: Observed Year: 2005 Ex: 31.740000","Age: 54 ex_fr_female$Type: Observed Year: 2006 Ex: 32.080000","Age: 54 ex_fr_female$Type: Observed Year: 2007 Ex: 32.210000","Age: 54 ex_fr_female$Type: Observed Year: 2008 Ex: 32.180000","Age: 54 ex_fr_female$Type: Observed Year: 2009 Ex: 32.280000","Age: 54 ex_fr_female$Type: Observed Year: 2010 Ex: 32.430000","Age: 54 ex_fr_female$Type: Observed Year: 2011 Ex: 32.720000","Age: 54 ex_fr_female$Type: Observed Year: 2012 Ex: 32.540000","Age: 54 ex_fr_female$Type: Observed Year: 2013 Ex: 32.710000","Age: 54 ex_fr_female$Type: Observed Year: 2014 Ex: 33.070000","Age: 54 ex_fr_female$Type: Observed Year: 2015 Ex: 32.770000","Age: 54 ex_fr_female$Type: Observed Year: 2016 Ex: 32.920000","Age: 54 ex_fr_female$Type: Observed Year: 2017 Ex: 32.880000"],"frame":"54","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[17.5324966238556,17.6437196016724,17.6712122877134,17.8589451301729,17.410565601615,18.3870556652507,18.4265840635341,18.5354361135091,18.6640710426538,18.3076199329165,17.7608367161298,18.0314849338169,17.7789192478679,17.597834541597,17.6529144572262,18.001394620178,16.0674159145816,17.961301494202,17.4840646320316,17.9999747356398,18.4288583547471,16.7597498619616,17.9221404110715,18.4563403846926,17.9465925333587,18.6494700936281,18.0017262769058,18.4103186836113,18.4932782144224,18.7646061947425,18.4582614587896,17.4267220020448,17.7566381109048,16.8226937470895,18.497196328364,18.3484534110401,18.3499874411964,18.0821994343171,16.4403201740133,17.1888118111959,18.3675268897468,17.9191639811171,17.3897862166885,17.5794535017696,18.497919590992,18.4631665425129,18.6111129359648,18.3629325764963,18.0679124414863,17.8822844062261,18.0765627670172,18.2139676038252,18.0792894657959,18.2021160308436,17.0630977234451,16.4199909064535,19.1245897426527,18.5081781577973,18.9056562785693,18.2210657638087,18.7071050294959,19.0659291617495,18.5676460361384,18.3212809093421,18.6438025489436,19.0676814126119,19.0179266428549,18.9864712446068,19.0367256246791,19.0390795534209,18.9220741112086,18.860031463985,18.8678599648955,19.2615977898228,18.3242166216618,18.0361702364331,18.20696949274,18.3648146086565,18.8830011369682,18.467742448763,19.3451385828146,19.636583376402,18.9141849915922,18.9797287205599,18.2905123351984,19.0905323941051,19.3641371340879,19.4032140984942,19.3387698234133,19.0859796116725,19.1781875942881,18.7637373657505,19.3816108807641,18.9285170238713,19.7752241620964,19.2180697657796,19.9076559148161,19.9033518884138,19.2930917533674,19.3952012443998,19.610880568846,19.4353222132828,19.0863810116005,19.5928899036961,20.4697671238229,20.3401594659738,19.9288167693047,20.5659105222356,20.2994793517787,20.2044326883372,20.3031562177714,20.5681340936012,20.7344255865619,19.8613447870696,21.1689445602548,20.5962055126537,20.8955975104688,20.8492463038088,21.380841144947,20.9723397055564,21.2463741937148,21.5308368261928,21.2915606208441,21.2374477982124,19.8415743243336,20.9420751958713,21.132812669986,21.3903687774849,20.4135141590214,21.6044700581405,22.9467023638376,23.2445086149225,23.7698467848278,22.6937438255856,23.4124389757677,22.9458379489118,23.6836149855151,23.177082027199,23.9838377064581,24.0035234493774,23.8350143136329,24.208453589045,24.7683318285041,24.8189956652827,24.7959616981939,25.3655585292757,24.8731390453949,24.8013882781535,25.587832178255,25.3876032507567,25.7816096470805,25.7541946193324,25.7130959258707,25.5344156101863,26.1364198423055,26.1514865137131,26.3881081765939,26.3754734825064,26.6549996888027,26.6781423320204,26.9253338859476,27.4553540709484,27.4499800790452,27.7181156146715,27.835085712271,27.8267416943589,28.1733803727744,28.059779006687,28.5044714355091,28.5100743955108,28.7295087137523,29.2183526215522,29.4300561071016,29.5666545766856,29.775589143193,30.0038264953007,30.2244181979361,30.2151684159376,30.5888240030706,30.5687084172077,30.6298765801289,30.8124138329384,30.8795032663882,30.9542600869945,31.205743525288,31.3547100756104,31.3959196100151,31.2482485500128,32.1117160052522,31.9970391707879,32.3440997859437,32.4670418439109,32.440605326549,32.5403129523975,32.69004265942,32.9821372917596,32.798050907234,32.9707511993812,33.3267530279907,33.0309130386158,33.1814486378083,33.1332926023373],"text":["Age: 54 ex_fr_female$Type: Predicted Year: 1816 Ex: 17.532497","Age: 54 ex_fr_female$Type: Predicted Year: 1817 Ex: 17.643720","Age: 54 ex_fr_female$Type: Predicted Year: 1818 Ex: 17.671212","Age: 54 ex_fr_female$Type: Predicted Year: 1819 Ex: 17.858945","Age: 54 ex_fr_female$Type: Predicted Year: 1820 Ex: 17.410566","Age: 54 ex_fr_female$Type: Predicted Year: 1821 Ex: 18.387056","Age: 54 ex_fr_female$Type: Predicted Year: 1822 Ex: 18.426584","Age: 54 ex_fr_female$Type: Predicted Year: 1823 Ex: 18.535436","Age: 54 ex_fr_female$Type: Predicted Year: 1824 Ex: 18.664071","Age: 54 ex_fr_female$Type: Predicted Year: 1825 Ex: 18.307620","Age: 54 ex_fr_female$Type: Predicted Year: 1826 Ex: 17.760837","Age: 54 ex_fr_female$Type: Predicted Year: 1827 Ex: 18.031485","Age: 54 ex_fr_female$Type: Predicted Year: 1828 Ex: 17.778919","Age: 54 ex_fr_female$Type: Predicted Year: 1829 Ex: 17.597835","Age: 54 ex_fr_female$Type: Predicted Year: 1830 Ex: 17.652914","Age: 54 ex_fr_female$Type: Predicted Year: 1831 Ex: 18.001395","Age: 54 ex_fr_female$Type: Predicted Year: 1832 Ex: 16.067416","Age: 54 ex_fr_female$Type: Predicted Year: 1833 Ex: 17.961301","Age: 54 ex_fr_female$Type: Predicted Year: 1834 Ex: 17.484065","Age: 54 ex_fr_female$Type: Predicted Year: 1835 Ex: 17.999975","Age: 54 ex_fr_female$Type: Predicted Year: 1836 Ex: 18.428858","Age: 54 ex_fr_female$Type: Predicted Year: 1837 Ex: 16.759750","Age: 54 ex_fr_female$Type: Predicted Year: 1838 Ex: 17.922140","Age: 54 ex_fr_female$Type: Predicted Year: 1839 Ex: 18.456340","Age: 54 ex_fr_female$Type: Predicted Year: 1840 Ex: 17.946593","Age: 54 ex_fr_female$Type: Predicted Year: 1841 Ex: 18.649470","Age: 54 ex_fr_female$Type: Predicted Year: 1842 Ex: 18.001726","Age: 54 ex_fr_female$Type: Predicted Year: 1843 Ex: 18.410319","Age: 54 ex_fr_female$Type: Predicted Year: 1844 Ex: 18.493278","Age: 54 ex_fr_female$Type: Predicted Year: 1845 Ex: 18.764606","Age: 54 ex_fr_female$Type: Predicted Year: 1846 Ex: 18.458261","Age: 54 ex_fr_female$Type: Predicted Year: 1847 Ex: 17.426722","Age: 54 ex_fr_female$Type: Predicted Year: 1848 Ex: 17.756638","Age: 54 ex_fr_female$Type: Predicted Year: 1849 Ex: 16.822694","Age: 54 ex_fr_female$Type: Predicted Year: 1850 Ex: 18.497196","Age: 54 ex_fr_female$Type: Predicted Year: 1851 Ex: 18.348453","Age: 54 ex_fr_female$Type: Predicted Year: 1852 Ex: 18.349987","Age: 54 ex_fr_female$Type: Predicted Year: 1853 Ex: 18.082199","Age: 54 ex_fr_female$Type: Predicted Year: 1854 Ex: 16.440320","Age: 54 ex_fr_female$Type: Predicted Year: 1855 Ex: 17.188812","Age: 54 ex_fr_female$Type: Predicted Year: 1856 Ex: 18.367527","Age: 54 ex_fr_female$Type: Predicted Year: 1857 Ex: 17.919164","Age: 54 ex_fr_female$Type: Predicted Year: 1858 Ex: 17.389786","Age: 54 ex_fr_female$Type: Predicted Year: 1859 Ex: 17.579454","Age: 54 ex_fr_female$Type: Predicted Year: 1860 Ex: 18.497920","Age: 54 ex_fr_female$Type: Predicted Year: 1861 Ex: 18.463167","Age: 54 ex_fr_female$Type: Predicted Year: 1862 Ex: 18.611113","Age: 54 ex_fr_female$Type: Predicted Year: 1863 Ex: 18.362933","Age: 54 ex_fr_female$Type: Predicted Year: 1864 Ex: 18.067912","Age: 54 ex_fr_female$Type: Predicted Year: 1865 Ex: 17.882284","Age: 54 ex_fr_female$Type: Predicted Year: 1866 Ex: 18.076563","Age: 54 ex_fr_female$Type: Predicted Year: 1867 Ex: 18.213968","Age: 54 ex_fr_female$Type: Predicted Year: 1868 Ex: 18.079289","Age: 54 ex_fr_female$Type: Predicted Year: 1869 Ex: 18.202116","Age: 54 ex_fr_female$Type: Predicted Year: 1870 Ex: 17.063098","Age: 54 ex_fr_female$Type: Predicted Year: 1871 Ex: 16.419991","Age: 54 ex_fr_female$Type: Predicted Year: 1872 Ex: 19.124590","Age: 54 ex_fr_female$Type: Predicted Year: 1873 Ex: 18.508178","Age: 54 ex_fr_female$Type: Predicted Year: 1874 Ex: 18.905656","Age: 54 ex_fr_female$Type: Predicted Year: 1875 Ex: 18.221066","Age: 54 ex_fr_female$Type: Predicted Year: 1876 Ex: 18.707105","Age: 54 ex_fr_female$Type: Predicted Year: 1877 Ex: 19.065929","Age: 54 ex_fr_female$Type: Predicted Year: 1878 Ex: 18.567646","Age: 54 ex_fr_female$Type: Predicted Year: 1879 Ex: 18.321281","Age: 54 ex_fr_female$Type: Predicted Year: 1880 Ex: 18.643803","Age: 54 ex_fr_female$Type: Predicted Year: 1881 Ex: 19.067681","Age: 54 ex_fr_female$Type: Predicted Year: 1882 Ex: 19.017927","Age: 54 ex_fr_female$Type: Predicted Year: 1883 Ex: 18.986471","Age: 54 ex_fr_female$Type: Predicted Year: 1884 Ex: 19.036726","Age: 54 ex_fr_female$Type: Predicted Year: 1885 Ex: 19.039080","Age: 54 ex_fr_female$Type: Predicted Year: 1886 Ex: 18.922074","Age: 54 ex_fr_female$Type: Predicted Year: 1887 Ex: 18.860031","Age: 54 ex_fr_female$Type: Predicted Year: 1888 Ex: 18.867860","Age: 54 ex_fr_female$Type: Predicted Year: 1889 Ex: 19.261598","Age: 54 ex_fr_female$Type: Predicted Year: 1890 Ex: 18.324217","Age: 54 ex_fr_female$Type: Predicted Year: 1891 Ex: 18.036170","Age: 54 ex_fr_female$Type: Predicted Year: 1892 Ex: 18.206969","Age: 54 ex_fr_female$Type: Predicted Year: 1893 Ex: 18.364815","Age: 54 ex_fr_female$Type: Predicted Year: 1894 Ex: 18.883001","Age: 54 ex_fr_female$Type: Predicted Year: 1895 Ex: 18.467742","Age: 54 ex_fr_female$Type: Predicted Year: 1896 Ex: 19.345139","Age: 54 ex_fr_female$Type: Predicted Year: 1897 Ex: 19.636583","Age: 54 ex_fr_female$Type: Predicted Year: 1898 Ex: 18.914185","Age: 54 ex_fr_female$Type: Predicted Year: 1899 Ex: 18.979729","Age: 54 ex_fr_female$Type: Predicted Year: 1900 Ex: 18.290512","Age: 54 ex_fr_female$Type: Predicted Year: 1901 Ex: 19.090532","Age: 54 ex_fr_female$Type: Predicted Year: 1902 Ex: 19.364137","Age: 54 ex_fr_female$Type: Predicted Year: 1903 Ex: 19.403214","Age: 54 ex_fr_female$Type: Predicted Year: 1904 Ex: 19.338770","Age: 54 ex_fr_female$Type: Predicted Year: 1905 Ex: 19.085980","Age: 54 ex_fr_female$Type: Predicted Year: 1906 Ex: 19.178188","Age: 54 ex_fr_female$Type: Predicted Year: 1907 Ex: 18.763737","Age: 54 ex_fr_female$Type: Predicted Year: 1908 Ex: 19.381611","Age: 54 ex_fr_female$Type: Predicted Year: 1909 Ex: 18.928517","Age: 54 ex_fr_female$Type: Predicted Year: 1910 Ex: 19.775224","Age: 54 ex_fr_female$Type: Predicted Year: 1911 Ex: 19.218070","Age: 54 ex_fr_female$Type: Predicted Year: 1912 Ex: 19.907656","Age: 54 ex_fr_female$Type: Predicted Year: 1913 Ex: 19.903352","Age: 54 ex_fr_female$Type: Predicted Year: 1914 Ex: 19.293092","Age: 54 ex_fr_female$Type: Predicted Year: 1915 Ex: 19.395201","Age: 54 ex_fr_female$Type: Predicted Year: 1916 Ex: 19.610881","Age: 54 ex_fr_female$Type: Predicted Year: 1917 Ex: 19.435322","Age: 54 ex_fr_female$Type: Predicted Year: 1918 Ex: 19.086381","Age: 54 ex_fr_female$Type: Predicted Year: 1919 Ex: 19.592890","Age: 54 ex_fr_female$Type: Predicted Year: 1920 Ex: 20.469767","Age: 54 ex_fr_female$Type: Predicted Year: 1921 Ex: 20.340159","Age: 54 ex_fr_female$Type: Predicted Year: 1922 Ex: 19.928817","Age: 54 ex_fr_female$Type: Predicted Year: 1923 Ex: 20.565911","Age: 54 ex_fr_female$Type: Predicted Year: 1924 Ex: 20.299479","Age: 54 ex_fr_female$Type: Predicted Year: 1925 Ex: 20.204433","Age: 54 ex_fr_female$Type: Predicted Year: 1926 Ex: 20.303156","Age: 54 ex_fr_female$Type: Predicted Year: 1927 Ex: 20.568134","Age: 54 ex_fr_female$Type: Predicted Year: 1928 Ex: 20.734426","Age: 54 ex_fr_female$Type: Predicted Year: 1929 Ex: 19.861345","Age: 54 ex_fr_female$Type: Predicted Year: 1930 Ex: 21.168945","Age: 54 ex_fr_female$Type: Predicted Year: 1931 Ex: 20.596206","Age: 54 ex_fr_female$Type: Predicted Year: 1932 Ex: 20.895598","Age: 54 ex_fr_female$Type: Predicted Year: 1933 Ex: 20.849246","Age: 54 ex_fr_female$Type: Predicted Year: 1934 Ex: 21.380841","Age: 54 ex_fr_female$Type: Predicted Year: 1935 Ex: 20.972340","Age: 54 ex_fr_female$Type: Predicted Year: 1936 Ex: 21.246374","Age: 54 ex_fr_female$Type: Predicted Year: 1937 Ex: 21.530837","Age: 54 ex_fr_female$Type: Predicted Year: 1938 Ex: 21.291561","Age: 54 ex_fr_female$Type: Predicted Year: 1939 Ex: 21.237448","Age: 54 ex_fr_female$Type: Predicted Year: 1940 Ex: 19.841574","Age: 54 ex_fr_female$Type: Predicted Year: 1941 Ex: 20.942075","Age: 54 ex_fr_female$Type: Predicted Year: 1942 Ex: 21.132813","Age: 54 ex_fr_female$Type: Predicted Year: 1943 Ex: 21.390369","Age: 54 ex_fr_female$Type: Predicted Year: 1944 Ex: 20.413514","Age: 54 ex_fr_female$Type: Predicted Year: 1945 Ex: 21.604470","Age: 54 ex_fr_female$Type: Predicted Year: 1946 Ex: 22.946702","Age: 54 ex_fr_female$Type: Predicted Year: 1947 Ex: 23.244509","Age: 54 ex_fr_female$Type: Predicted Year: 1948 Ex: 23.769847","Age: 54 ex_fr_female$Type: Predicted Year: 1949 Ex: 22.693744","Age: 54 ex_fr_female$Type: Predicted Year: 1950 Ex: 23.412439","Age: 54 ex_fr_female$Type: Predicted Year: 1951 Ex: 22.945838","Age: 54 ex_fr_female$Type: Predicted Year: 1952 Ex: 23.683615","Age: 54 ex_fr_female$Type: Predicted Year: 1953 Ex: 23.177082","Age: 54 ex_fr_female$Type: Predicted Year: 1954 Ex: 23.983838","Age: 54 ex_fr_female$Type: Predicted Year: 1955 Ex: 24.003523","Age: 54 ex_fr_female$Type: Predicted Year: 1956 Ex: 23.835014","Age: 54 ex_fr_female$Type: Predicted Year: 1957 Ex: 24.208454","Age: 54 ex_fr_female$Type: Predicted Year: 1958 Ex: 24.768332","Age: 54 ex_fr_female$Type: Predicted Year: 1959 Ex: 24.818996","Age: 54 ex_fr_female$Type: Predicted Year: 1960 Ex: 24.795962","Age: 54 ex_fr_female$Type: Predicted Year: 1961 Ex: 25.365559","Age: 54 ex_fr_female$Type: Predicted Year: 1962 Ex: 24.873139","Age: 54 ex_fr_female$Type: Predicted Year: 1963 Ex: 24.801388","Age: 54 ex_fr_female$Type: Predicted Year: 1964 Ex: 25.587832","Age: 54 ex_fr_female$Type: Predicted Year: 1965 Ex: 25.387603","Age: 54 ex_fr_female$Type: Predicted Year: 1966 Ex: 25.781610","Age: 54 ex_fr_female$Type: Predicted Year: 1967 Ex: 25.754195","Age: 54 ex_fr_female$Type: Predicted Year: 1968 Ex: 25.713096","Age: 54 ex_fr_female$Type: Predicted Year: 1969 Ex: 25.534416","Age: 54 ex_fr_female$Type: Predicted Year: 1970 Ex: 26.136420","Age: 54 ex_fr_female$Type: Predicted Year: 1971 Ex: 26.151487","Age: 54 ex_fr_female$Type: Predicted Year: 1972 Ex: 26.388108","Age: 54 ex_fr_female$Type: Predicted Year: 1973 Ex: 26.375473","Age: 54 ex_fr_female$Type: Predicted Year: 1974 Ex: 26.655000","Age: 54 ex_fr_female$Type: Predicted Year: 1975 Ex: 26.678142","Age: 54 ex_fr_female$Type: Predicted Year: 1976 Ex: 26.925334","Age: 54 ex_fr_female$Type: Predicted Year: 1977 Ex: 27.455354","Age: 54 ex_fr_female$Type: Predicted Year: 1978 Ex: 27.449980","Age: 54 ex_fr_female$Type: Predicted Year: 1979 Ex: 27.718116","Age: 54 ex_fr_female$Type: Predicted Year: 1980 Ex: 27.835086","Age: 54 ex_fr_female$Type: Predicted Year: 1981 Ex: 27.826742","Age: 54 ex_fr_female$Type: Predicted Year: 1982 Ex: 28.173380","Age: 54 ex_fr_female$Type: Predicted Year: 1983 Ex: 28.059779","Age: 54 ex_fr_female$Type: Predicted Year: 1984 Ex: 28.504471","Age: 54 ex_fr_female$Type: Predicted Year: 1985 Ex: 28.510074","Age: 54 ex_fr_female$Type: Predicted Year: 1986 Ex: 28.729509","Age: 54 ex_fr_female$Type: Predicted Year: 1987 Ex: 29.218353","Age: 54 ex_fr_female$Type: Predicted Year: 1988 Ex: 29.430056","Age: 54 ex_fr_female$Type: Predicted Year: 1989 Ex: 29.566655","Age: 54 ex_fr_female$Type: Predicted Year: 1990 Ex: 29.775589","Age: 54 ex_fr_female$Type: Predicted Year: 1991 Ex: 30.003826","Age: 54 ex_fr_female$Type: Predicted Year: 1992 Ex: 30.224418","Age: 54 ex_fr_female$Type: Predicted Year: 1993 Ex: 30.215168","Age: 54 ex_fr_female$Type: Predicted Year: 1994 Ex: 30.588824","Age: 54 ex_fr_female$Type: Predicted Year: 1995 Ex: 30.568708","Age: 54 ex_fr_female$Type: Predicted Year: 1996 Ex: 30.629877","Age: 54 ex_fr_female$Type: Predicted Year: 1997 Ex: 30.812414","Age: 54 ex_fr_female$Type: Predicted Year: 1998 Ex: 30.879503","Age: 54 ex_fr_female$Type: Predicted Year: 1999 Ex: 30.954260","Age: 54 ex_fr_female$Type: Predicted Year: 2000 Ex: 31.205744","Age: 54 ex_fr_female$Type: Predicted Year: 2001 Ex: 31.354710","Age: 54 ex_fr_female$Type: Predicted Year: 2002 Ex: 31.395920","Age: 54 ex_fr_female$Type: Predicted Year: 2003 Ex: 31.248249","Age: 54 ex_fr_female$Type: Predicted Year: 2004 Ex: 32.111716","Age: 54 ex_fr_female$Type: Predicted Year: 2005 Ex: 31.997039","Age: 54 ex_fr_female$Type: Predicted Year: 2006 Ex: 32.344100","Age: 54 ex_fr_female$Type: Predicted Year: 2007 Ex: 32.467042","Age: 54 ex_fr_female$Type: Predicted Year: 2008 Ex: 32.440605","Age: 54 ex_fr_female$Type: Predicted Year: 2009 Ex: 32.540313","Age: 54 ex_fr_female$Type: Predicted Year: 2010 Ex: 32.690043","Age: 54 ex_fr_female$Type: Predicted Year: 2011 Ex: 32.982137","Age: 54 ex_fr_female$Type: Predicted Year: 2012 Ex: 32.798051","Age: 54 ex_fr_female$Type: Predicted Year: 2013 Ex: 32.970751","Age: 54 ex_fr_female$Type: Predicted Year: 2014 Ex: 33.326753","Age: 54 ex_fr_female$Type: Predicted Year: 2015 Ex: 33.030913","Age: 54 ex_fr_female$Type: Predicted Year: 2016 Ex: 33.181449","Age: 54 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1926 Ex: 19.300000","Age: 55 ex_fr_female$Type: Observed Year: 1927 Ex: 19.550000","Age: 55 ex_fr_female$Type: Observed Year: 1928 Ex: 19.710000","Age: 55 ex_fr_female$Type: Observed Year: 1929 Ex: 18.840000","Age: 55 ex_fr_female$Type: Observed Year: 1930 Ex: 20.140000","Age: 55 ex_fr_female$Type: Observed Year: 1931 Ex: 19.560000","Age: 55 ex_fr_female$Type: Observed Year: 1932 Ex: 19.870000","Age: 55 ex_fr_female$Type: Observed Year: 1933 Ex: 19.820000","Age: 55 ex_fr_female$Type: Observed Year: 1934 Ex: 20.340000","Age: 55 ex_fr_female$Type: Observed Year: 1935 Ex: 19.940000","Age: 55 ex_fr_female$Type: Observed Year: 1936 Ex: 20.210000","Age: 55 ex_fr_female$Type: Observed Year: 1937 Ex: 20.500000","Age: 55 ex_fr_female$Type: Observed Year: 1938 Ex: 20.260000","Age: 55 ex_fr_female$Type: Observed Year: 1939 Ex: 20.190000","Age: 55 ex_fr_female$Type: Observed Year: 1940 Ex: 18.820000","Age: 55 ex_fr_female$Type: Observed Year: 1941 Ex: 19.910000","Age: 55 ex_fr_female$Type: Observed Year: 1942 Ex: 20.080000","Age: 55 ex_fr_female$Type: Observed Year: 1943 Ex: 20.350000","Age: 55 ex_fr_female$Type: Observed Year: 1944 Ex: 19.390000","Age: 55 ex_fr_female$Type: Observed Year: 1945 Ex: 20.540000","Age: 55 ex_fr_female$Type: Observed Year: 1946 Ex: 21.860000","Age: 55 ex_fr_female$Type: Observed Year: 1947 Ex: 22.150000","Age: 55 ex_fr_female$Type: Observed Year: 1948 Ex: 22.670000","Age: 55 ex_fr_female$Type: Observed Year: 1949 Ex: 21.610000","Age: 55 ex_fr_female$Type: Observed Year: 1950 Ex: 22.330000","Age: 55 ex_fr_female$Type: Observed Year: 1951 Ex: 21.870000","Age: 55 ex_fr_female$Type: Observed Year: 1952 Ex: 22.600000","Age: 55 ex_fr_female$Type: Observed Year: 1953 Ex: 22.090000","Age: 55 ex_fr_female$Type: Observed Year: 1954 Ex: 22.880000","Age: 55 ex_fr_female$Type: Observed Year: 1955 Ex: 22.910000","Age: 55 ex_fr_female$Type: Observed Year: 1956 Ex: 22.730000","Age: 55 ex_fr_female$Type: Observed Year: 1957 Ex: 23.100000","Age: 55 ex_fr_female$Type: Observed Year: 1958 Ex: 23.650000","Age: 55 ex_fr_female$Type: Observed Year: 1959 Ex: 23.700000","Age: 55 ex_fr_female$Type: Observed Year: 1960 Ex: 23.680000","Age: 55 ex_fr_female$Type: Observed Year: 1961 Ex: 24.250000","Age: 55 ex_fr_female$Type: Observed Year: 1962 Ex: 23.750000","Age: 55 ex_fr_female$Type: Observed Year: 1963 Ex: 23.680000","Age: 55 ex_fr_female$Type: Observed Year: 1964 Ex: 24.470000","Age: 55 ex_fr_female$Type: Observed Year: 1965 Ex: 24.250000","Age: 55 ex_fr_female$Type: Observed Year: 1966 Ex: 24.660000","Age: 55 ex_fr_female$Type: Observed Year: 1967 Ex: 24.630000","Age: 55 ex_fr_female$Type: Observed Year: 1968 Ex: 24.590000","Age: 55 ex_fr_female$Type: Observed Year: 1969 Ex: 24.410000","Age: 55 ex_fr_female$Type: Observed Year: 1970 Ex: 25.020000","Age: 55 ex_fr_female$Type: Observed Year: 1971 Ex: 25.030000","Age: 55 ex_fr_female$Type: Observed Year: 1972 Ex: 25.270000","Age: 55 ex_fr_female$Type: Observed Year: 1973 Ex: 25.240000","Age: 55 ex_fr_female$Type: Observed Year: 1974 Ex: 25.530000","Age: 55 ex_fr_female$Type: Observed Year: 1975 Ex: 25.550000","Age: 55 ex_fr_female$Type: Observed Year: 1976 Ex: 25.790000","Age: 55 ex_fr_female$Type: Observed Year: 1977 Ex: 26.320000","Age: 55 ex_fr_female$Type: Observed Year: 1978 Ex: 26.310000","Age: 55 ex_fr_female$Type: Observed Year: 1979 Ex: 26.580000","Age: 55 ex_fr_female$Type: Observed Year: 1980 Ex: 26.700000","Age: 55 ex_fr_female$Type: Observed Year: 1981 Ex: 26.680000","Age: 55 ex_fr_female$Type: Observed Year: 1982 Ex: 27.030000","Age: 55 ex_fr_female$Type: Observed Year: 1983 Ex: 26.920000","Age: 55 ex_fr_female$Type: Observed Year: 1984 Ex: 27.360000","Age: 55 ex_fr_female$Type: Observed Year: 1985 Ex: 27.360000","Age: 55 ex_fr_female$Type: Observed Year: 1986 Ex: 27.580000","Age: 55 ex_fr_female$Type: Observed Year: 1987 Ex: 28.070000","Age: 55 ex_fr_female$Type: Observed Year: 1988 Ex: 28.270000","Age: 55 ex_fr_female$Type: Observed Year: 1989 Ex: 28.410000","Age: 55 ex_fr_female$Type: Observed Year: 1990 Ex: 28.620000","Age: 55 ex_fr_female$Type: Observed Year: 1991 Ex: 28.840000","Age: 55 ex_fr_female$Type: Observed Year: 1992 Ex: 29.070000","Age: 55 ex_fr_female$Type: Observed Year: 1993 Ex: 29.050000","Age: 55 ex_fr_female$Type: Observed Year: 1994 Ex: 29.430000","Age: 55 ex_fr_female$Type: Observed Year: 1995 Ex: 29.400000","Age: 55 ex_fr_female$Type: Observed Year: 1996 Ex: 29.470000","Age: 55 ex_fr_female$Type: Observed Year: 1997 Ex: 29.650000","Age: 55 ex_fr_female$Type: Observed Year: 1998 Ex: 29.720000","Age: 55 ex_fr_female$Type: Observed Year: 1999 Ex: 29.800000","Age: 55 ex_fr_female$Type: Observed Year: 2000 Ex: 30.040000","Age: 55 ex_fr_female$Type: Observed Year: 2001 Ex: 30.190000","Age: 55 ex_fr_female$Type: Observed Year: 2002 Ex: 30.240000","Age: 55 ex_fr_female$Type: Observed Year: 2003 Ex: 30.090000","Age: 55 ex_fr_female$Type: Observed Year: 2004 Ex: 30.950000","Age: 55 ex_fr_female$Type: Observed Year: 2005 Ex: 30.840000","Age: 55 ex_fr_female$Type: Observed Year: 2006 Ex: 31.180000","Age: 55 ex_fr_female$Type: Observed Year: 2007 Ex: 31.300000","Age: 55 ex_fr_female$Type: Observed Year: 2008 Ex: 31.280000","Age: 55 ex_fr_female$Type: Observed Year: 2009 Ex: 31.380000","Age: 55 ex_fr_female$Type: Observed Year: 2010 Ex: 31.530000","Age: 55 ex_fr_female$Type: Observed Year: 2011 Ex: 31.830000","Age: 55 ex_fr_female$Type: Observed Year: 2012 Ex: 31.640000","Age: 55 ex_fr_female$Type: Observed Year: 2013 Ex: 31.810000","Age: 55 ex_fr_female$Type: Observed Year: 2014 Ex: 32.170000","Age: 55 ex_fr_female$Type: Observed Year: 2015 Ex: 31.870000","Age: 55 ex_fr_female$Type: Observed Year: 2016 Ex: 32.010000","Age: 55 ex_fr_female$Type: Observed Year: 2017 Ex: 31.970000"],"frame":"55","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[16.8807587684255,17.0052819326835,17.0398437023276,17.2324934943307,16.7680741736644,17.7301693024438,17.7622353637219,17.8700020906049,18.0115727677575,17.6691868409943,17.1151770156447,17.3919180592715,17.1332780504458,16.9306895134881,16.9971629765306,17.3410353724068,15.4787782869698,17.306752078951,16.851628224056,17.3524382935407,17.7563343487135,16.1078173992579,17.2637958521878,17.7868785412977,17.2828576352177,17.966564957168,17.3219352688178,17.7323498603378,17.8164346589959,18.0851995043243,17.7908470291666,16.7719576733681,17.0929365059575,16.199476712028,17.8176750684408,17.6822781388498,17.6836590073096,17.4010161261277,15.8360282051418,16.5375423128385,17.6986140636994,17.2580968896065,16.7303047242794,16.918917472153,17.8063241414995,17.7762753202068,17.9183255133233,17.6688423455847,17.3730592073831,17.199600051143,17.4070930206796,17.5319273393448,17.399664419379,17.5214850242763,16.4115690040786,15.8238449505626,18.434641194035,17.8165753147795,18.2101918121537,17.5384313002523,18.017427327916,18.3693420347975,17.8722838499864,17.6284715440564,17.9554451430409,18.3824497651611,18.3312865414714,18.3023071980158,18.3496495851856,18.3588316945914,18.2489936521876,18.1869712630511,18.1678492092058,18.5560078497267,17.6140588130427,17.3188334912358,17.4968847895119,17.6520490967068,18.1634427169423,17.7456804696619,18.6179030368519,18.9065782234087,18.2136207448566,18.2492666470211,17.5801680795475,18.3833911062604,18.6440675616722,18.6670409660917,18.6244429999088,18.3729147424249,18.4519468221679,18.0612835346255,18.6671669584474,18.215454201588,19.0504985360261,18.4971624844312,19.1907282159226,19.1790784343408,18.5641496014681,18.6742503243991,18.88516489276,18.7020934357478,18.4165947128543,18.8779588932817,19.7349170157232,19.5985630003308,19.1881623408047,19.8260346491393,19.563572067431,19.4584736031341,19.57532686481,19.8244248802905,19.9897662694994,19.1207707660758,20.4213979392266,19.8426805230413,20.1440928355137,20.096147025585,20.6213034225961,20.2172115879966,20.49053511316,20.7749411652032,20.5352015102578,20.4689181291091,19.0975993915153,20.1898953182187,20.3549797986555,20.6216449128501,19.6646035665722,20.8110335607646,22.1335600515494,22.4207766159135,22.9483101442971,21.8858820129497,22.6034047271347,22.1369891357507,22.8712310148968,22.3578557300955,23.1563708698474,23.1773850973722,23.0045736219598,23.3745181604507,23.9207285876065,23.9717105758173,23.948287476866,24.5184530246886,24.0205535285052,23.9471463968317,24.7383073354009,24.5233610737193,24.9271437693858,24.8944914798271,24.8615324601838,24.6765125368423,25.2839964370272,25.296312066717,25.5340093267784,25.5116772531876,25.7971450009118,25.8125184235546,26.0588540395198,26.5836968168068,26.5742357755107,26.8457951658981,26.9641378838398,26.9464210549661,27.2926323000209,27.1835240054341,27.6209316469051,27.6248703575308,27.8426530372543,28.3343212594223,28.5378764616795,28.6749840244838,28.8823465862205,29.1075669908689,29.3346023860164,29.3169683698412,29.6937156220183,29.6653841357552,29.7261444336459,29.9132183824159,29.9814453553296,30.056758598386,30.302003148833,30.4489606735028,30.4961848191904,30.3483430112999,31.2117671085721,31.0979912194123,31.4420114667165,31.5637283068386,31.5407361259221,31.6368996573752,31.7922470886707,32.0846174304471,31.8931469681108,32.0686354763281,32.4247227268654,32.1270209913099,32.2698078340453,32.2257756839624],"text":["Age: 55 ex_fr_female$Type: Predicted Year: 1816 Ex: 16.880759","Age: 55 ex_fr_female$Type: Predicted Year: 1817 Ex: 17.005282","Age: 55 ex_fr_female$Type: Predicted Year: 1818 Ex: 17.039844","Age: 55 ex_fr_female$Type: Predicted Year: 1819 Ex: 17.232493","Age: 55 ex_fr_female$Type: Predicted Year: 1820 Ex: 16.768074","Age: 55 ex_fr_female$Type: Predicted Year: 1821 Ex: 17.730169","Age: 55 ex_fr_female$Type: Predicted Year: 1822 Ex: 17.762235","Age: 55 ex_fr_female$Type: Predicted Year: 1823 Ex: 17.870002","Age: 55 ex_fr_female$Type: Predicted Year: 1824 Ex: 18.011573","Age: 55 ex_fr_female$Type: Predicted Year: 1825 Ex: 17.669187","Age: 55 ex_fr_female$Type: Predicted Year: 1826 Ex: 17.115177","Age: 55 ex_fr_female$Type: Predicted Year: 1827 Ex: 17.391918","Age: 55 ex_fr_female$Type: Predicted Year: 1828 Ex: 17.133278","Age: 55 ex_fr_female$Type: Predicted Year: 1829 Ex: 16.930690","Age: 55 ex_fr_female$Type: Predicted Year: 1830 Ex: 16.997163","Age: 55 ex_fr_female$Type: Predicted Year: 1831 Ex: 17.341035","Age: 55 ex_fr_female$Type: Predicted Year: 1832 Ex: 15.478778","Age: 55 ex_fr_female$Type: Predicted Year: 1833 Ex: 17.306752","Age: 55 ex_fr_female$Type: Predicted Year: 1834 Ex: 16.851628","Age: 55 ex_fr_female$Type: Predicted Year: 1835 Ex: 17.352438","Age: 55 ex_fr_female$Type: Predicted Year: 1836 Ex: 17.756334","Age: 55 ex_fr_female$Type: Predicted Year: 1837 Ex: 16.107817","Age: 55 ex_fr_female$Type: Predicted Year: 1838 Ex: 17.263796","Age: 55 ex_fr_female$Type: Predicted Year: 1839 Ex: 17.786879","Age: 55 ex_fr_female$Type: Predicted Year: 1840 Ex: 17.282858","Age: 55 ex_fr_female$Type: Predicted Year: 1841 Ex: 17.966565","Age: 55 ex_fr_female$Type: Predicted Year: 1842 Ex: 17.321935","Age: 55 ex_fr_female$Type: Predicted Year: 1843 Ex: 17.732350","Age: 55 ex_fr_female$Type: Predicted Year: 1844 Ex: 17.816435","Age: 55 ex_fr_female$Type: Predicted Year: 1845 Ex: 18.085200","Age: 55 ex_fr_female$Type: Predicted Year: 1846 Ex: 17.790847","Age: 55 ex_fr_female$Type: Predicted Year: 1847 Ex: 16.771958","Age: 55 ex_fr_female$Type: Predicted Year: 1848 Ex: 17.092937","Age: 55 ex_fr_female$Type: Predicted Year: 1849 Ex: 16.199477","Age: 55 ex_fr_female$Type: Predicted Year: 1850 Ex: 17.817675","Age: 55 ex_fr_female$Type: Predicted Year: 1851 Ex: 17.682278","Age: 55 ex_fr_female$Type: Predicted Year: 1852 Ex: 17.683659","Age: 55 ex_fr_female$Type: Predicted Year: 1853 Ex: 17.401016","Age: 55 ex_fr_female$Type: Predicted Year: 1854 Ex: 15.836028","Age: 55 ex_fr_female$Type: Predicted Year: 1855 Ex: 16.537542","Age: 55 ex_fr_female$Type: Predicted Year: 1856 Ex: 17.698614","Age: 55 ex_fr_female$Type: Predicted Year: 1857 Ex: 17.258097","Age: 55 ex_fr_female$Type: Predicted Year: 1858 Ex: 16.730305","Age: 55 ex_fr_female$Type: Predicted Year: 1859 Ex: 16.918917","Age: 55 ex_fr_female$Type: Predicted Year: 1860 Ex: 17.806324","Age: 55 ex_fr_female$Type: Predicted Year: 1861 Ex: 17.776275","Age: 55 ex_fr_female$Type: Predicted Year: 1862 Ex: 17.918326","Age: 55 ex_fr_female$Type: Predicted Year: 1863 Ex: 17.668842","Age: 55 ex_fr_female$Type: Predicted Year: 1864 Ex: 17.373059","Age: 55 ex_fr_female$Type: Predicted Year: 1865 Ex: 17.199600","Age: 55 ex_fr_female$Type: Predicted Year: 1866 Ex: 17.407093","Age: 55 ex_fr_female$Type: Predicted Year: 1867 Ex: 17.531927","Age: 55 ex_fr_female$Type: Predicted Year: 1868 Ex: 17.399664","Age: 55 ex_fr_female$Type: Predicted Year: 1869 Ex: 17.521485","Age: 55 ex_fr_female$Type: Predicted Year: 1870 Ex: 16.411569","Age: 55 ex_fr_female$Type: Predicted Year: 1871 Ex: 15.823845","Age: 55 ex_fr_female$Type: Predicted Year: 1872 Ex: 18.434641","Age: 55 ex_fr_female$Type: Predicted Year: 1873 Ex: 17.816575","Age: 55 ex_fr_female$Type: Predicted Year: 1874 Ex: 18.210192","Age: 55 ex_fr_female$Type: Predicted Year: 1875 Ex: 17.538431","Age: 55 ex_fr_female$Type: Predicted Year: 1876 Ex: 18.017427","Age: 55 ex_fr_female$Type: Predicted Year: 1877 Ex: 18.369342","Age: 55 ex_fr_female$Type: Predicted Year: 1878 Ex: 17.872284","Age: 55 ex_fr_female$Type: Predicted Year: 1879 Ex: 17.628472","Age: 55 ex_fr_female$Type: Predicted Year: 1880 Ex: 17.955445","Age: 55 ex_fr_female$Type: Predicted Year: 1881 Ex: 18.382450","Age: 55 ex_fr_female$Type: Predicted Year: 1882 Ex: 18.331287","Age: 55 ex_fr_female$Type: Predicted Year: 1883 Ex: 18.302307","Age: 55 ex_fr_female$Type: Predicted Year: 1884 Ex: 18.349650","Age: 55 ex_fr_female$Type: Predicted Year: 1885 Ex: 18.358832","Age: 55 ex_fr_female$Type: Predicted Year: 1886 Ex: 18.248994","Age: 55 ex_fr_female$Type: Predicted Year: 1887 Ex: 18.186971","Age: 55 ex_fr_female$Type: Predicted Year: 1888 Ex: 18.167849","Age: 55 ex_fr_female$Type: Predicted Year: 1889 Ex: 18.556008","Age: 55 ex_fr_female$Type: Predicted Year: 1890 Ex: 17.614059","Age: 55 ex_fr_female$Type: Predicted Year: 1891 Ex: 17.318833","Age: 55 ex_fr_female$Type: Predicted Year: 1892 Ex: 17.496885","Age: 55 ex_fr_female$Type: Predicted Year: 1893 Ex: 17.652049","Age: 55 ex_fr_female$Type: Predicted Year: 1894 Ex: 18.163443","Age: 55 ex_fr_female$Type: Predicted Year: 1895 Ex: 17.745680","Age: 55 ex_fr_female$Type: Predicted Year: 1896 Ex: 18.617903","Age: 55 ex_fr_female$Type: Predicted Year: 1897 Ex: 18.906578","Age: 55 ex_fr_female$Type: Predicted Year: 1898 Ex: 18.213621","Age: 55 ex_fr_female$Type: Predicted Year: 1899 Ex: 18.249267","Age: 55 ex_fr_female$Type: Predicted Year: 1900 Ex: 17.580168","Age: 55 ex_fr_female$Type: Predicted Year: 1901 Ex: 18.383391","Age: 55 ex_fr_female$Type: Predicted Year: 1902 Ex: 18.644068","Age: 55 ex_fr_female$Type: Predicted Year: 1903 Ex: 18.667041","Age: 55 ex_fr_female$Type: Predicted Year: 1904 Ex: 18.624443","Age: 55 ex_fr_female$Type: Predicted Year: 1905 Ex: 18.372915","Age: 55 ex_fr_female$Type: Predicted Year: 1906 Ex: 18.451947","Age: 55 ex_fr_female$Type: Predicted Year: 1907 Ex: 18.061284","Age: 55 ex_fr_female$Type: Predicted Year: 1908 Ex: 18.667167","Age: 55 ex_fr_female$Type: Predicted Year: 1909 Ex: 18.215454","Age: 55 ex_fr_female$Type: Predicted Year: 1910 Ex: 19.050499","Age: 55 ex_fr_female$Type: Predicted Year: 1911 Ex: 18.497162","Age: 55 ex_fr_female$Type: Predicted Year: 1912 Ex: 19.190728","Age: 55 ex_fr_female$Type: Predicted Year: 1913 Ex: 19.179078","Age: 55 ex_fr_female$Type: Predicted Year: 1914 Ex: 18.564150","Age: 55 ex_fr_female$Type: Predicted Year: 1915 Ex: 18.674250","Age: 55 ex_fr_female$Type: Predicted Year: 1916 Ex: 18.885165","Age: 55 ex_fr_female$Type: Predicted Year: 1917 Ex: 18.702093","Age: 55 ex_fr_female$Type: Predicted Year: 1918 Ex: 18.416595","Age: 55 ex_fr_female$Type: Predicted Year: 1919 Ex: 18.877959","Age: 55 ex_fr_female$Type: Predicted Year: 1920 Ex: 19.734917","Age: 55 ex_fr_female$Type: Predicted Year: 1921 Ex: 19.598563","Age: 55 ex_fr_female$Type: Predicted Year: 1922 Ex: 19.188162","Age: 55 ex_fr_female$Type: Predicted Year: 1923 Ex: 19.826035","Age: 55 ex_fr_female$Type: Predicted Year: 1924 Ex: 19.563572","Age: 55 ex_fr_female$Type: Predicted Year: 1925 Ex: 19.458474","Age: 55 ex_fr_female$Type: Predicted Year: 1926 Ex: 19.575327","Age: 55 ex_fr_female$Type: Predicted Year: 1927 Ex: 19.824425","Age: 55 ex_fr_female$Type: Predicted Year: 1928 Ex: 19.989766","Age: 55 ex_fr_female$Type: Predicted Year: 1929 Ex: 19.120771","Age: 55 ex_fr_female$Type: Predicted Year: 1930 Ex: 20.421398","Age: 55 ex_fr_female$Type: Predicted Year: 1931 Ex: 19.842681","Age: 55 ex_fr_female$Type: Predicted Year: 1932 Ex: 20.144093","Age: 55 ex_fr_female$Type: Predicted Year: 1933 Ex: 20.096147","Age: 55 ex_fr_female$Type: Predicted Year: 1934 Ex: 20.621303","Age: 55 ex_fr_female$Type: Predicted Year: 1935 Ex: 20.217212","Age: 55 ex_fr_female$Type: Predicted Year: 1936 Ex: 20.490535","Age: 55 ex_fr_female$Type: Predicted Year: 1937 Ex: 20.774941","Age: 55 ex_fr_female$Type: Predicted Year: 1938 Ex: 20.535202","Age: 55 ex_fr_female$Type: Predicted Year: 1939 Ex: 20.468918","Age: 55 ex_fr_female$Type: Predicted Year: 1940 Ex: 19.097599","Age: 55 ex_fr_female$Type: Predicted Year: 1941 Ex: 20.189895","Age: 55 ex_fr_female$Type: Predicted Year: 1942 Ex: 20.354980","Age: 55 ex_fr_female$Type: Predicted Year: 1943 Ex: 20.621645","Age: 55 ex_fr_female$Type: Predicted Year: 1944 Ex: 19.664604","Age: 55 ex_fr_female$Type: Predicted Year: 1945 Ex: 20.811034","Age: 55 ex_fr_female$Type: Predicted Year: 1946 Ex: 22.133560","Age: 55 ex_fr_female$Type: Predicted Year: 1947 Ex: 22.420777","Age: 55 ex_fr_female$Type: Predicted Year: 1948 Ex: 22.948310","Age: 55 ex_fr_female$Type: Predicted Year: 1949 Ex: 21.885882","Age: 55 ex_fr_female$Type: Predicted Year: 1950 Ex: 22.603405","Age: 55 ex_fr_female$Type: Predicted Year: 1951 Ex: 22.136989","Age: 55 ex_fr_female$Type: Predicted Year: 1952 Ex: 22.871231","Age: 55 ex_fr_female$Type: Predicted Year: 1953 Ex: 22.357856","Age: 55 ex_fr_female$Type: Predicted Year: 1954 Ex: 23.156371","Age: 55 ex_fr_female$Type: Predicted Year: 1955 Ex: 23.177385","Age: 55 ex_fr_female$Type: Predicted Year: 1956 Ex: 23.004574","Age: 55 ex_fr_female$Type: Predicted Year: 1957 Ex: 23.374518","Age: 55 ex_fr_female$Type: Predicted Year: 1958 Ex: 23.920729","Age: 55 ex_fr_female$Type: Predicted Year: 1959 Ex: 23.971711","Age: 55 ex_fr_female$Type: Predicted Year: 1960 Ex: 23.948287","Age: 55 ex_fr_female$Type: Predicted Year: 1961 Ex: 24.518453","Age: 55 ex_fr_female$Type: Predicted Year: 1962 Ex: 24.020554","Age: 55 ex_fr_female$Type: Predicted Year: 1963 Ex: 23.947146","Age: 55 ex_fr_female$Type: Predicted Year: 1964 Ex: 24.738307","Age: 55 ex_fr_female$Type: Predicted Year: 1965 Ex: 24.523361","Age: 55 ex_fr_female$Type: Predicted Year: 1966 Ex: 24.927144","Age: 55 ex_fr_female$Type: Predicted Year: 1967 Ex: 24.894491","Age: 55 ex_fr_female$Type: Predicted Year: 1968 Ex: 24.861532","Age: 55 ex_fr_female$Type: Predicted Year: 1969 Ex: 24.676513","Age: 55 ex_fr_female$Type: Predicted Year: 1970 Ex: 25.283996","Age: 55 ex_fr_female$Type: Predicted Year: 1971 Ex: 25.296312","Age: 55 ex_fr_female$Type: Predicted Year: 1972 Ex: 25.534009","Age: 55 ex_fr_female$Type: Predicted Year: 1973 Ex: 25.511677","Age: 55 ex_fr_female$Type: Predicted Year: 1974 Ex: 25.797145","Age: 55 ex_fr_female$Type: Predicted Year: 1975 Ex: 25.812518","Age: 55 ex_fr_female$Type: Predicted Year: 1976 Ex: 26.058854","Age: 55 ex_fr_female$Type: Predicted Year: 1977 Ex: 26.583697","Age: 55 ex_fr_female$Type: Predicted Year: 1978 Ex: 26.574236","Age: 55 ex_fr_female$Type: Predicted Year: 1979 Ex: 26.845795","Age: 55 ex_fr_female$Type: Predicted Year: 1980 Ex: 26.964138","Age: 55 ex_fr_female$Type: Predicted Year: 1981 Ex: 26.946421","Age: 55 ex_fr_female$Type: Predicted Year: 1982 Ex: 27.292632","Age: 55 ex_fr_female$Type: Predicted Year: 1983 Ex: 27.183524","Age: 55 ex_fr_female$Type: Predicted Year: 1984 Ex: 27.620932","Age: 55 ex_fr_female$Type: Predicted Year: 1985 Ex: 27.624870","Age: 55 ex_fr_female$Type: Predicted Year: 1986 Ex: 27.842653","Age: 55 ex_fr_female$Type: Predicted Year: 1987 Ex: 28.334321","Age: 55 ex_fr_female$Type: Predicted Year: 1988 Ex: 28.537876","Age: 55 ex_fr_female$Type: Predicted Year: 1989 Ex: 28.674984","Age: 55 ex_fr_female$Type: Predicted Year: 1990 Ex: 28.882347","Age: 55 ex_fr_female$Type: Predicted Year: 1991 Ex: 29.107567","Age: 55 ex_fr_female$Type: Predicted Year: 1992 Ex: 29.334602","Age: 55 ex_fr_female$Type: Predicted Year: 1993 Ex: 29.316968","Age: 55 ex_fr_female$Type: Predicted Year: 1994 Ex: 29.693716","Age: 55 ex_fr_female$Type: Predicted Year: 1995 Ex: 29.665384","Age: 55 ex_fr_female$Type: Predicted Year: 1996 Ex: 29.726144","Age: 55 ex_fr_female$Type: Predicted Year: 1997 Ex: 29.913218","Age: 55 ex_fr_female$Type: Predicted Year: 1998 Ex: 29.981445","Age: 55 ex_fr_female$Type: Predicted Year: 1999 Ex: 30.056759","Age: 55 ex_fr_female$Type: Predicted Year: 2000 Ex: 30.302003","Age: 55 ex_fr_female$Type: Predicted Year: 2001 Ex: 30.448961","Age: 55 ex_fr_female$Type: Predicted Year: 2002 Ex: 30.496185","Age: 55 ex_fr_female$Type: Predicted Year: 2003 Ex: 30.348343","Age: 55 ex_fr_female$Type: Predicted Year: 2004 Ex: 31.211767","Age: 55 ex_fr_female$Type: Predicted Year: 2005 Ex: 31.097991","Age: 55 ex_fr_female$Type: Predicted Year: 2006 Ex: 31.442011","Age: 55 ex_fr_female$Type: Predicted Year: 2007 Ex: 31.563728","Age: 55 ex_fr_female$Type: Predicted Year: 2008 Ex: 31.540736","Age: 55 ex_fr_female$Type: Predicted Year: 2009 Ex: 31.636900","Age: 55 ex_fr_female$Type: Predicted Year: 2010 Ex: 31.792247","Age: 55 ex_fr_female$Type: Predicted Year: 2011 Ex: 32.084617","Age: 55 ex_fr_female$Type: Predicted Year: 2012 Ex: 31.893147","Age: 55 ex_fr_female$Type: Predicted Year: 2013 Ex: 32.068635","Age: 55 ex_fr_female$Type: Predicted Year: 2014 Ex: 32.424723","Age: 55 ex_fr_female$Type: Predicted Year: 2015 Ex: 32.127021","Age: 55 ex_fr_female$Type: Predicted Year: 2016 Ex: 32.269808","Age: 55 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1926 Ex: 18.570000","Age: 56 ex_fr_female$Type: Observed Year: 1927 Ex: 18.800000","Age: 56 ex_fr_female$Type: Observed Year: 1928 Ex: 18.970000","Age: 56 ex_fr_female$Type: Observed Year: 1929 Ex: 18.100000","Age: 56 ex_fr_female$Type: Observed Year: 1930 Ex: 19.410000","Age: 56 ex_fr_female$Type: Observed Year: 1931 Ex: 18.830000","Age: 56 ex_fr_female$Type: Observed Year: 1932 Ex: 19.120000","Age: 56 ex_fr_female$Type: Observed Year: 1933 Ex: 19.070000","Age: 56 ex_fr_female$Type: Observed Year: 1934 Ex: 19.590000","Age: 56 ex_fr_female$Type: Observed Year: 1935 Ex: 19.190000","Age: 56 ex_fr_female$Type: Observed Year: 1936 Ex: 19.450000","Age: 56 ex_fr_female$Type: Observed Year: 1937 Ex: 19.740000","Age: 56 ex_fr_female$Type: Observed Year: 1938 Ex: 19.510000","Age: 56 ex_fr_female$Type: Observed Year: 1939 Ex: 19.440000","Age: 56 ex_fr_female$Type: Observed Year: 1940 Ex: 18.080000","Age: 56 ex_fr_female$Type: Observed Year: 1941 Ex: 19.170000","Age: 56 ex_fr_female$Type: Observed Year: 1942 Ex: 19.310000","Age: 56 ex_fr_female$Type: Observed Year: 1943 Ex: 19.580000","Age: 56 ex_fr_female$Type: Observed Year: 1944 Ex: 18.650000","Age: 56 ex_fr_female$Type: Observed Year: 1945 Ex: 19.760000","Age: 56 ex_fr_female$Type: Observed Year: 1946 Ex: 21.060000","Age: 56 ex_fr_female$Type: Observed Year: 1947 Ex: 21.330000","Age: 56 ex_fr_female$Type: Observed Year: 1948 Ex: 21.860000","Age: 56 ex_fr_female$Type: Observed Year: 1949 Ex: 20.810000","Age: 56 ex_fr_female$Type: Observed Year: 1950 Ex: 21.520000","Age: 56 ex_fr_female$Type: Observed Year: 1951 Ex: 21.050000","Age: 56 ex_fr_female$Type: Observed Year: 1952 Ex: 21.780000","Age: 56 ex_fr_female$Type: Observed Year: 1953 Ex: 21.270000","Age: 56 ex_fr_female$Type: Observed Year: 1954 Ex: 22.070000","Age: 56 ex_fr_female$Type: Observed Year: 1955 Ex: 22.090000","Age: 56 ex_fr_female$Type: Observed Year: 1956 Ex: 21.900000","Age: 56 ex_fr_female$Type: Observed Year: 1957 Ex: 22.280000","Age: 56 ex_fr_female$Type: Observed Year: 1958 Ex: 22.810000","Age: 56 ex_fr_female$Type: Observed Year: 1959 Ex: 22.860000","Age: 56 ex_fr_female$Type: Observed Year: 1960 Ex: 22.830000","Age: 56 ex_fr_female$Type: Observed Year: 1961 Ex: 23.400000","Age: 56 ex_fr_female$Type: Observed Year: 1962 Ex: 22.910000","Age: 56 ex_fr_female$Type: Observed Year: 1963 Ex: 22.840000","Age: 56 ex_fr_female$Type: Observed Year: 1964 Ex: 23.620000","Age: 56 ex_fr_female$Type: Observed Year: 1965 Ex: 23.410000","Age: 56 ex_fr_female$Type: Observed Year: 1966 Ex: 23.810000","Age: 56 ex_fr_female$Type: Observed Year: 1967 Ex: 23.770000","Age: 56 ex_fr_female$Type: Observed Year: 1968 Ex: 23.740000","Age: 56 ex_fr_female$Type: Observed Year: 1969 Ex: 23.550000","Age: 56 ex_fr_female$Type: Observed Year: 1970 Ex: 24.160000","Age: 56 ex_fr_female$Type: Observed Year: 1971 Ex: 24.170000","Age: 56 ex_fr_female$Type: Observed Year: 1972 Ex: 24.410000","Age: 56 ex_fr_female$Type: Observed Year: 1973 Ex: 24.390000","Age: 56 ex_fr_female$Type: Observed Year: 1974 Ex: 24.670000","Age: 56 ex_fr_female$Type: Observed Year: 1975 Ex: 24.680000","Age: 56 ex_fr_female$Type: Observed Year: 1976 Ex: 24.930000","Age: 56 ex_fr_female$Type: Observed Year: 1977 Ex: 25.460000","Age: 56 ex_fr_female$Type: Observed Year: 1978 Ex: 25.440000","Age: 56 ex_fr_female$Type: Observed Year: 1979 Ex: 25.700000","Age: 56 ex_fr_female$Type: Observed Year: 1980 Ex: 25.830000","Age: 56 ex_fr_female$Type: Observed Year: 1981 Ex: 25.810000","Age: 56 ex_fr_female$Type: Observed Year: 1982 Ex: 26.150000","Age: 56 ex_fr_female$Type: Observed Year: 1983 Ex: 26.040000","Age: 56 ex_fr_female$Type: Observed Year: 1984 Ex: 26.470000","Age: 56 ex_fr_female$Type: Observed Year: 1985 Ex: 26.480000","Age: 56 ex_fr_female$Type: Observed Year: 1986 Ex: 26.690000","Age: 56 ex_fr_female$Type: Observed Year: 1987 Ex: 27.190000","Age: 56 ex_fr_female$Type: Observed Year: 1988 Ex: 27.380000","Age: 56 ex_fr_female$Type: Observed Year: 1989 Ex: 27.520000","Age: 56 ex_fr_female$Type: Observed Year: 1990 Ex: 27.730000","Age: 56 ex_fr_female$Type: Observed Year: 1991 Ex: 27.950000","Age: 56 ex_fr_female$Type: Observed Year: 1992 Ex: 28.180000","Age: 56 ex_fr_female$Type: Observed Year: 1993 Ex: 28.170000","Age: 56 ex_fr_female$Type: Observed Year: 1994 Ex: 28.540000","Age: 56 ex_fr_female$Type: Observed Year: 1995 Ex: 28.510000","Age: 56 ex_fr_female$Type: Observed Year: 1996 Ex: 28.560000","Age: 56 ex_fr_female$Type: Observed Year: 1997 Ex: 28.760000","Age: 56 ex_fr_female$Type: Observed Year: 1998 Ex: 28.820000","Age: 56 ex_fr_female$Type: Observed Year: 1999 Ex: 28.900000","Age: 56 ex_fr_female$Type: Observed Year: 2000 Ex: 29.150000","Age: 56 ex_fr_female$Type: Observed Year: 2001 Ex: 29.290000","Age: 56 ex_fr_female$Type: Observed Year: 2002 Ex: 29.340000","Age: 56 ex_fr_female$Type: Observed Year: 2003 Ex: 29.190000","Age: 56 ex_fr_female$Type: Observed Year: 2004 Ex: 30.050000","Age: 56 ex_fr_female$Type: Observed Year: 2005 Ex: 29.940000","Age: 56 ex_fr_female$Type: Observed Year: 2006 Ex: 30.280000","Age: 56 ex_fr_female$Type: Observed Year: 2007 Ex: 30.400000","Age: 56 ex_fr_female$Type: Observed Year: 2008 Ex: 30.390000","Age: 56 ex_fr_female$Type: Observed Year: 2009 Ex: 30.480000","Age: 56 ex_fr_female$Type: Observed Year: 2010 Ex: 30.630000","Age: 56 ex_fr_female$Type: Observed Year: 2011 Ex: 30.930000","Age: 56 ex_fr_female$Type: Observed Year: 2012 Ex: 30.740000","Age: 56 ex_fr_female$Type: Observed Year: 2013 Ex: 30.910000","Age: 56 ex_fr_female$Type: Observed Year: 2014 Ex: 31.270000","Age: 56 ex_fr_female$Type: Observed Year: 2015 Ex: 30.970000","Age: 56 ex_fr_female$Type: Observed Year: 2016 Ex: 31.110000","Age: 56 ex_fr_female$Type: Observed Year: 2017 Ex: 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56 ex_fr_female$Type: Predicted Year: 1816 Ex: 16.228405","Age: 56 ex_fr_female$Type: Predicted Year: 1817 Ex: 16.355234","Age: 56 ex_fr_female$Type: Predicted Year: 1818 Ex: 16.400836","Age: 56 ex_fr_female$Type: Predicted Year: 1819 Ex: 16.592732","Age: 56 ex_fr_female$Type: Predicted Year: 1820 Ex: 16.123135","Age: 56 ex_fr_female$Type: Predicted Year: 1821 Ex: 17.075617","Age: 56 ex_fr_female$Type: Predicted Year: 1822 Ex: 17.086503","Age: 56 ex_fr_female$Type: Predicted Year: 1823 Ex: 17.195232","Age: 56 ex_fr_female$Type: Predicted Year: 1824 Ex: 17.354268","Age: 56 ex_fr_female$Type: Predicted Year: 1825 Ex: 17.029358","Age: 56 ex_fr_female$Type: Predicted Year: 1826 Ex: 16.477134","Age: 56 ex_fr_female$Type: Predicted Year: 1827 Ex: 16.754726","Age: 56 ex_fr_female$Type: Predicted Year: 1828 Ex: 16.487473","Age: 56 ex_fr_female$Type: Predicted Year: 1829 Ex: 16.266479","Age: 56 ex_fr_female$Type: Predicted Year: 1830 Ex: 16.330776","Age: 56 ex_fr_female$Type: Predicted Year: 1831 Ex: 16.670265","Age: 56 ex_fr_female$Type: Predicted Year: 1832 Ex: 14.893666","Age: 56 ex_fr_female$Type: Predicted Year: 1833 Ex: 16.655716","Age: 56 ex_fr_female$Type: Predicted Year: 1834 Ex: 16.220883","Age: 56 ex_fr_female$Type: Predicted Year: 1835 Ex: 16.706825","Age: 56 ex_fr_female$Type: Predicted Year: 1836 Ex: 17.084535","Age: 56 ex_fr_female$Type: Predicted Year: 1837 Ex: 15.451658","Age: 56 ex_fr_female$Type: Predicted Year: 1838 Ex: 16.596644","Age: 56 ex_fr_female$Type: Predicted Year: 1839 Ex: 17.111785","Age: 56 ex_fr_female$Type: Predicted Year: 1840 Ex: 16.620878","Age: 56 ex_fr_female$Type: Predicted Year: 1841 Ex: 17.286664","Age: 56 ex_fr_female$Type: Predicted Year: 1842 Ex: 16.638446","Age: 56 ex_fr_female$Type: Predicted Year: 1843 Ex: 17.052545","Age: 56 ex_fr_female$Type: Predicted Year: 1844 Ex: 17.137663","Age: 56 ex_fr_female$Type: Predicted Year: 1845 Ex: 17.405503","Age: 56 ex_fr_female$Type: Predicted Year: 1846 Ex: 17.124463","Age: 56 ex_fr_female$Type: Predicted Year: 1847 Ex: 16.125773","Age: 56 ex_fr_female$Type: Predicted Year: 1848 Ex: 16.437461","Age: 56 ex_fr_female$Type: Predicted Year: 1849 Ex: 15.586953","Age: 56 ex_fr_female$Type: Predicted Year: 1850 Ex: 17.124291","Age: 56 ex_fr_female$Type: Predicted Year: 1851 Ex: 16.998917","Age: 56 ex_fr_female$Type: Predicted Year: 1852 Ex: 17.019411","Age: 56 ex_fr_female$Type: Predicted Year: 1853 Ex: 16.723148","Age: 56 ex_fr_female$Type: Predicted Year: 1854 Ex: 15.233564","Age: 56 ex_fr_female$Type: Predicted Year: 1855 Ex: 15.890522","Age: 56 ex_fr_female$Type: Predicted Year: 1856 Ex: 17.031678","Age: 56 ex_fr_female$Type: Predicted Year: 1857 Ex: 16.606222","Age: 56 ex_fr_female$Type: Predicted Year: 1858 Ex: 16.075421","Age: 56 ex_fr_female$Type: Predicted Year: 1859 Ex: 16.259661","Age: 56 ex_fr_female$Type: Predicted Year: 1860 Ex: 17.114324","Age: 56 ex_fr_female$Type: Predicted Year: 1861 Ex: 17.088313","Age: 56 ex_fr_female$Type: Predicted Year: 1862 Ex: 17.218925","Age: 56 ex_fr_female$Type: Predicted Year: 1863 Ex: 16.971076","Age: 56 ex_fr_female$Type: Predicted Year: 1864 Ex: 16.676440","Age: 56 ex_fr_female$Type: Predicted Year: 1865 Ex: 16.520787","Age: 56 ex_fr_female$Type: Predicted Year: 1866 Ex: 16.737614","Age: 56 ex_fr_female$Type: Predicted Year: 1867 Ex: 16.850480","Age: 56 ex_fr_female$Type: Predicted Year: 1868 Ex: 16.723321","Age: 56 ex_fr_female$Type: Predicted Year: 1869 Ex: 16.845046","Age: 56 ex_fr_female$Type: Predicted Year: 1870 Ex: 15.768120","Age: 56 ex_fr_female$Type: Predicted Year: 1871 Ex: 15.231918","Age: 56 ex_fr_female$Type: Predicted Year: 1872 Ex: 17.751815","Age: 56 ex_fr_female$Type: Predicted Year: 1873 Ex: 17.130223","Age: 56 ex_fr_female$Type: Predicted Year: 1874 Ex: 17.517450","Age: 56 ex_fr_female$Type: Predicted Year: 1875 Ex: 16.862488","Age: 56 ex_fr_female$Type: Predicted Year: 1876 Ex: 17.329541","Age: 56 ex_fr_female$Type: Predicted Year: 1877 Ex: 17.669909","Age: 56 ex_fr_female$Type: Predicted Year: 1878 Ex: 17.179336","Age: 56 ex_fr_female$Type: Predicted Year: 1879 Ex: 16.939933","Age: 56 ex_fr_female$Type: Predicted Year: 1880 Ex: 17.273208","Age: 56 ex_fr_female$Type: Predicted Year: 1881 Ex: 17.698701","Age: 56 ex_fr_female$Type: Predicted Year: 1882 Ex: 17.644637","Age: 56 ex_fr_female$Type: Predicted Year: 1883 Ex: 17.617504","Age: 56 ex_fr_female$Type: Predicted Year: 1884 Ex: 17.664594","Age: 56 ex_fr_female$Type: Predicted Year: 1885 Ex: 17.677028","Age: 56 ex_fr_female$Type: Predicted Year: 1886 Ex: 17.571196","Age: 56 ex_fr_female$Type: Predicted Year: 1887 Ex: 17.511650","Age: 56 ex_fr_female$Type: Predicted Year: 1888 Ex: 17.465027","Age: 56 ex_fr_female$Type: Predicted Year: 1889 Ex: 17.851454","Age: 56 ex_fr_female$Type: Predicted Year: 1890 Ex: 16.907492","Age: 56 ex_fr_female$Type: Predicted Year: 1891 Ex: 16.598140","Age: 56 ex_fr_female$Type: Predicted Year: 1892 Ex: 16.788828","Age: 56 ex_fr_female$Type: Predicted Year: 1893 Ex: 16.941423","Age: 56 ex_fr_female$Type: Predicted Year: 1894 Ex: 17.451748","Age: 56 ex_fr_female$Type: Predicted Year: 1895 Ex: 17.032601","Age: 56 ex_fr_female$Type: Predicted Year: 1896 Ex: 17.899636","Age: 56 ex_fr_female$Type: Predicted Year: 1897 Ex: 18.186071","Age: 56 ex_fr_female$Type: Predicted Year: 1898 Ex: 17.504005","Age: 56 ex_fr_female$Type: Predicted Year: 1899 Ex: 17.550883","Age: 56 ex_fr_female$Type: Predicted Year: 1900 Ex: 16.886230","Age: 56 ex_fr_female$Type: Predicted Year: 1901 Ex: 17.677831","Age: 56 ex_fr_female$Type: Predicted Year: 1902 Ex: 17.935423","Age: 56 ex_fr_female$Type: Predicted Year: 1903 Ex: 17.945479","Age: 56 ex_fr_female$Type: Predicted Year: 1904 Ex: 17.898916","Age: 56 ex_fr_female$Type: Predicted Year: 1905 Ex: 17.668636","Age: 56 ex_fr_female$Type: Predicted Year: 1906 Ex: 17.742771","Age: 56 ex_fr_female$Type: Predicted Year: 1907 Ex: 17.343995","Age: 56 ex_fr_female$Type: Predicted Year: 1908 Ex: 17.970712","Age: 56 ex_fr_female$Type: Predicted Year: 1909 Ex: 17.506769","Age: 56 ex_fr_female$Type: Predicted Year: 1910 Ex: 18.321069","Age: 56 ex_fr_female$Type: Predicted Year: 1911 Ex: 17.754732","Age: 56 ex_fr_female$Type: Predicted Year: 1912 Ex: 18.476244","Age: 56 ex_fr_female$Type: Predicted Year: 1913 Ex: 18.459107","Age: 56 ex_fr_female$Type: Predicted Year: 1914 Ex: 17.851285","Age: 56 ex_fr_female$Type: Predicted Year: 1915 Ex: 17.967753","Age: 56 ex_fr_female$Type: Predicted Year: 1916 Ex: 18.155562","Age: 56 ex_fr_female$Type: Predicted Year: 1917 Ex: 17.981623","Age: 56 ex_fr_female$Type: Predicted Year: 1918 Ex: 17.749139","Age: 56 ex_fr_female$Type: Predicted Year: 1919 Ex: 18.165602","Age: 56 ex_fr_female$Type: Predicted Year: 1920 Ex: 19.005519","Age: 56 ex_fr_female$Type: Predicted Year: 1921 Ex: 18.866859","Age: 56 ex_fr_female$Type: Predicted Year: 1922 Ex: 18.456190","Age: 56 ex_fr_female$Type: Predicted Year: 1923 Ex: 19.098702","Age: 56 ex_fr_female$Type: Predicted Year: 1924 Ex: 18.825965","Age: 56 ex_fr_female$Type: Predicted Year: 1925 Ex: 18.725763","Age: 56 ex_fr_female$Type: Predicted Year: 1926 Ex: 18.849101","Age: 56 ex_fr_female$Type: Predicted Year: 1927 Ex: 19.084140","Age: 56 ex_fr_female$Type: Predicted Year: 1928 Ex: 19.254864","Age: 56 ex_fr_female$Type: Predicted Year: 1929 Ex: 18.379900","Age: 56 ex_fr_female$Type: Predicted Year: 1930 Ex: 19.687117","Age: 56 ex_fr_female$Type: Predicted Year: 1931 Ex: 19.106758","Age: 56 ex_fr_female$Type: Predicted Year: 1932 Ex: 19.397555","Age: 56 ex_fr_female$Type: Predicted Year: 1933 Ex: 19.351770","Age: 56 ex_fr_female$Type: Predicted Year: 1934 Ex: 19.871957","Age: 56 ex_fr_female$Type: Predicted Year: 1935 Ex: 19.472815","Age: 56 ex_fr_female$Type: Predicted Year: 1936 Ex: 19.735107","Age: 56 ex_fr_female$Type: Predicted Year: 1937 Ex: 20.023403","Age: 56 ex_fr_female$Type: Predicted Year: 1938 Ex: 19.784377","Age: 56 ex_fr_female$Type: Predicted Year: 1939 Ex: 19.715651","Age: 56 ex_fr_female$Type: Predicted Year: 1940 Ex: 18.362253","Age: 56 ex_fr_female$Type: Predicted Year: 1941 Ex: 19.450332","Age: 56 ex_fr_female$Type: Predicted Year: 1942 Ex: 19.586842","Age: 56 ex_fr_female$Type: Predicted Year: 1943 Ex: 19.858453","Age: 56 ex_fr_female$Type: Predicted Year: 1944 Ex: 18.923530","Age: 56 ex_fr_female$Type: Predicted Year: 1945 Ex: 20.034458","Age: 56 ex_fr_female$Type: Predicted Year: 1946 Ex: 21.335037","Age: 56 ex_fr_female$Type: Predicted Year: 1947 Ex: 21.608783","Age: 56 ex_fr_female$Type: Predicted Year: 1948 Ex: 22.140841","Age: 56 ex_fr_female$Type: Predicted Year: 1949 Ex: 21.083110","Age: 56 ex_fr_female$Type: Predicted Year: 1950 Ex: 21.794092","Age: 56 ex_fr_female$Type: Predicted Year: 1951 Ex: 21.327581","Age: 56 ex_fr_female$Type: Predicted Year: 1952 Ex: 22.058588","Age: 56 ex_fr_female$Type: Predicted Year: 1953 Ex: 21.544881","Age: 56 ex_fr_female$Type: Predicted Year: 1954 Ex: 22.338807","Age: 56 ex_fr_female$Type: Predicted Year: 1955 Ex: 22.358390","Age: 56 ex_fr_female$Type: Predicted Year: 1956 Ex: 22.173313","Age: 56 ex_fr_female$Type: Predicted Year: 1957 Ex: 22.550641","Age: 56 ex_fr_female$Type: Predicted Year: 1958 Ex: 23.080061","Age: 56 ex_fr_female$Type: Predicted Year: 1959 Ex: 23.135644","Age: 56 ex_fr_female$Type: Predicted Year: 1960 Ex: 23.101906","Age: 56 ex_fr_female$Type: Predicted Year: 1961 Ex: 23.670489","Age: 56 ex_fr_female$Type: Predicted Year: 1962 Ex: 23.177724","Age: 56 ex_fr_female$Type: Predicted Year: 1963 Ex: 23.105951","Age: 56 ex_fr_female$Type: Predicted Year: 1964 Ex: 23.893443","Age: 56 ex_fr_female$Type: Predicted Year: 1965 Ex: 23.677362","Age: 56 ex_fr_female$Type: Predicted Year: 1966 Ex: 24.077343","Age: 56 ex_fr_female$Type: Predicted Year: 1967 Ex: 24.042771","Age: 56 ex_fr_female$Type: Predicted Year: 1968 Ex: 24.009122","Age: 56 ex_fr_female$Type: Predicted Year: 1969 Ex: 23.823467","Age: 56 ex_fr_female$Type: Predicted Year: 1970 Ex: 24.427912","Age: 56 ex_fr_female$Type: Predicted Year: 1971 Ex: 24.440798","Age: 56 ex_fr_female$Type: Predicted Year: 1972 Ex: 24.678873","Age: 56 ex_fr_female$Type: Predicted Year: 1973 Ex: 24.662451","Age: 56 ex_fr_female$Type: Predicted Year: 1974 Ex: 24.934374","Age: 56 ex_fr_female$Type: Predicted Year: 1975 Ex: 24.953139","Age: 56 ex_fr_female$Type: Predicted Year: 1976 Ex: 25.200072","Age: 56 ex_fr_female$Type: Predicted Year: 1977 Ex: 25.723357","Age: 56 ex_fr_female$Type: Predicted Year: 1978 Ex: 25.705196","Age: 56 ex_fr_female$Type: Predicted Year: 1979 Ex: 25.972559","Age: 56 ex_fr_female$Type: Predicted Year: 1980 Ex: 26.094663","Age: 56 ex_fr_female$Type: Predicted Year: 1981 Ex: 26.073138","Age: 56 ex_fr_female$Type: Predicted Year: 1982 Ex: 26.420200","Age: 56 ex_fr_female$Type: Predicted Year: 1983 Ex: 26.303603","Age: 56 ex_fr_female$Type: Predicted Year: 1984 Ex: 26.740799","Age: 56 ex_fr_female$Type: Predicted Year: 1985 Ex: 26.742031","Age: 56 ex_fr_female$Type: Predicted Year: 1986 Ex: 26.959931","Age: 56 ex_fr_female$Type: Predicted Year: 1987 Ex: 27.454826","Age: 56 ex_fr_female$Type: Predicted Year: 1988 Ex: 27.646593","Age: 56 ex_fr_female$Type: Predicted Year: 1989 Ex: 27.787344","Age: 56 ex_fr_female$Type: Predicted Year: 1990 Ex: 27.993254","Age: 56 ex_fr_female$Type: Predicted Year: 1991 Ex: 28.216196","Age: 56 ex_fr_female$Type: Predicted Year: 1992 Ex: 28.442935","Age: 56 ex_fr_female$Type: Predicted Year: 1993 Ex: 28.429863","Age: 56 ex_fr_female$Type: Predicted Year: 1994 Ex: 28.803398","Age: 56 ex_fr_female$Type: Predicted Year: 1995 Ex: 28.769105","Age: 56 ex_fr_female$Type: Predicted Year: 1996 Ex: 28.823043","Age: 56 ex_fr_female$Type: Predicted Year: 1997 Ex: 29.017526","Age: 56 ex_fr_female$Type: Predicted Year: 1998 Ex: 29.084811","Age: 56 ex_fr_female$Type: Predicted Year: 1999 Ex: 29.161575","Age: 56 ex_fr_female$Type: Predicted Year: 2000 Ex: 29.409185","Age: 56 ex_fr_female$Type: Predicted Year: 2001 Ex: 29.550660","Age: 56 ex_fr_female$Type: Predicted Year: 2002 Ex: 29.597744","Age: 56 ex_fr_female$Type: Predicted Year: 2003 Ex: 29.451198","Age: 56 ex_fr_female$Type: Predicted Year: 2004 Ex: 30.314824","Age: 56 ex_fr_female$Type: Predicted Year: 2005 Ex: 30.196676","Age: 56 ex_fr_female$Type: Predicted Year: 2006 Ex: 30.543978","Age: 56 ex_fr_female$Type: Predicted Year: 2007 Ex: 30.663603","Age: 56 ex_fr_female$Type: Predicted Year: 2008 Ex: 30.646766","Age: 56 ex_fr_female$Type: Predicted Year: 2009 Ex: 30.742945","Age: 56 ex_fr_female$Type: Predicted Year: 2010 Ex: 30.893485","Age: 56 ex_fr_female$Type: Predicted Year: 2011 Ex: 31.193139","Age: 56 ex_fr_female$Type: Predicted Year: 2012 Ex: 30.994396","Age: 56 ex_fr_female$Type: Predicted Year: 2013 Ex: 31.169184","Age: 56 ex_fr_female$Type: Predicted Year: 2014 Ex: 31.525124","Age: 56 ex_fr_female$Type: Predicted Year: 2015 Ex: 31.226169","Age: 56 ex_fr_female$Type: Predicted Year: 2016 Ex: 31.364942","Age: 56 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1926 Ex: 17.840000","Age: 57 ex_fr_female$Type: Observed Year: 1927 Ex: 18.030000","Age: 57 ex_fr_female$Type: Observed Year: 1928 Ex: 18.230000","Age: 57 ex_fr_female$Type: Observed Year: 1929 Ex: 17.370000","Age: 57 ex_fr_female$Type: Observed Year: 1930 Ex: 18.680000","Age: 57 ex_fr_female$Type: Observed Year: 1931 Ex: 18.090000","Age: 57 ex_fr_female$Type: Observed Year: 1932 Ex: 18.380000","Age: 57 ex_fr_female$Type: Observed Year: 1933 Ex: 18.340000","Age: 57 ex_fr_female$Type: Observed Year: 1934 Ex: 18.840000","Age: 57 ex_fr_female$Type: Observed Year: 1935 Ex: 18.460000","Age: 57 ex_fr_female$Type: Observed Year: 1936 Ex: 18.700000","Age: 57 ex_fr_female$Type: Observed Year: 1937 Ex: 18.990000","Age: 57 ex_fr_female$Type: Observed Year: 1938 Ex: 18.750000","Age: 57 ex_fr_female$Type: Observed Year: 1939 Ex: 18.690000","Age: 57 ex_fr_female$Type: Observed Year: 1940 Ex: 17.350000","Age: 57 ex_fr_female$Type: Observed Year: 1941 Ex: 18.430000","Age: 57 ex_fr_female$Type: Observed Year: 1942 Ex: 18.550000","Age: 57 ex_fr_female$Type: Observed Year: 1943 Ex: 18.820000","Age: 57 ex_fr_female$Type: Observed Year: 1944 Ex: 17.910000","Age: 57 ex_fr_female$Type: Observed Year: 1945 Ex: 18.990000","Age: 57 ex_fr_female$Type: Observed Year: 1946 Ex: 20.270000","Age: 57 ex_fr_female$Type: Observed Year: 1947 Ex: 20.540000","Age: 57 ex_fr_female$Type: Observed Year: 1948 Ex: 21.060000","Age: 57 ex_fr_female$Type: Observed Year: 1949 Ex: 20.000000","Age: 57 ex_fr_female$Type: Observed Year: 1950 Ex: 20.720000","Age: 57 ex_fr_female$Type: Observed Year: 1951 Ex: 20.240000","Age: 57 ex_fr_female$Type: Observed Year: 1952 Ex: 20.970000","Age: 57 ex_fr_female$Type: Observed Year: 1953 Ex: 20.470000","Age: 57 ex_fr_female$Type: Observed Year: 1954 Ex: 21.260000","Age: 57 ex_fr_female$Type: Observed Year: 1955 Ex: 21.270000","Age: 57 ex_fr_female$Type: Observed Year: 1956 Ex: 21.080000","Age: 57 ex_fr_female$Type: Observed Year: 1957 Ex: 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1973 Ex: 23.530000","Age: 57 ex_fr_female$Type: Observed Year: 1974 Ex: 23.820000","Age: 57 ex_fr_female$Type: Observed Year: 1975 Ex: 23.830000","Age: 57 ex_fr_female$Type: Observed Year: 1976 Ex: 24.070000","Age: 57 ex_fr_female$Type: Observed Year: 1977 Ex: 24.590000","Age: 57 ex_fr_female$Type: Observed Year: 1978 Ex: 24.570000","Age: 57 ex_fr_female$Type: Observed Year: 1979 Ex: 24.840000","Age: 57 ex_fr_female$Type: Observed Year: 1980 Ex: 24.960000","Age: 57 ex_fr_female$Type: Observed Year: 1981 Ex: 24.930000","Age: 57 ex_fr_female$Type: Observed Year: 1982 Ex: 25.280000","Age: 57 ex_fr_female$Type: Observed Year: 1983 Ex: 25.160000","Age: 57 ex_fr_female$Type: Observed Year: 1984 Ex: 25.600000","Age: 57 ex_fr_female$Type: Observed Year: 1985 Ex: 25.600000","Age: 57 ex_fr_female$Type: Observed Year: 1986 Ex: 25.820000","Age: 57 ex_fr_female$Type: Observed Year: 1987 Ex: 26.310000","Age: 57 ex_fr_female$Type: Observed Year: 1988 Ex: 26.500000","Age: 57 ex_fr_female$Type: Observed Year: 1989 Ex: 26.640000","Age: 57 ex_fr_female$Type: Observed Year: 1990 Ex: 26.840000","Age: 57 ex_fr_female$Type: Observed Year: 1991 Ex: 27.060000","Age: 57 ex_fr_female$Type: Observed Year: 1992 Ex: 27.290000","Age: 57 ex_fr_female$Type: Observed Year: 1993 Ex: 27.280000","Age: 57 ex_fr_female$Type: Observed Year: 1994 Ex: 27.650000","Age: 57 ex_fr_female$Type: Observed Year: 1995 Ex: 27.610000","Age: 57 ex_fr_female$Type: Observed Year: 1996 Ex: 27.670000","Age: 57 ex_fr_female$Type: Observed Year: 1997 Ex: 27.860000","Age: 57 ex_fr_female$Type: Observed Year: 1998 Ex: 27.930000","Age: 57 ex_fr_female$Type: Observed Year: 1999 Ex: 28.000000","Age: 57 ex_fr_female$Type: Observed Year: 2000 Ex: 28.250000","Age: 57 ex_fr_female$Type: Observed Year: 2001 Ex: 28.400000","Age: 57 ex_fr_female$Type: Observed Year: 2002 Ex: 28.450000","Age: 57 ex_fr_female$Type: Observed Year: 2003 Ex: 28.300000","Age: 57 ex_fr_female$Type: Observed Year: 2004 Ex: 29.150000","Age: 57 ex_fr_female$Type: Observed Year: 2005 Ex: 29.040000","Age: 57 ex_fr_female$Type: Observed Year: 2006 Ex: 29.390000","Age: 57 ex_fr_female$Type: Observed Year: 2007 Ex: 29.510000","Age: 57 ex_fr_female$Type: Observed Year: 2008 Ex: 29.490000","Age: 57 ex_fr_female$Type: Observed Year: 2009 Ex: 29.580000","Age: 57 ex_fr_female$Type: Observed Year: 2010 Ex: 29.740000","Age: 57 ex_fr_female$Type: Observed Year: 2011 Ex: 30.040000","Age: 57 ex_fr_female$Type: Observed Year: 2012 Ex: 29.840000","Age: 57 ex_fr_female$Type: Observed Year: 2013 Ex: 30.010000","Age: 57 ex_fr_female$Type: Observed Year: 2014 Ex: 30.370000","Age: 57 ex_fr_female$Type: Observed Year: 2015 Ex: 30.070000","Age: 57 ex_fr_female$Type: Observed Year: 2016 Ex: 30.210000","Age: 57 ex_fr_female$Type: Observed Year: 2017 Ex: 30.170000"],"frame":"57","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[15.5856771300508,15.7092253707177,15.7612115792752,15.9474198036823,15.4740211912542,16.4309539104331,16.4163383448042,16.5171857287036,16.6966497379627,16.3860673969489,15.8465943860356,16.1266141124519,15.8440897930192,15.6081751629558,15.6717626880105,15.9974317380707,14.3038915561075,16.0134437470959,15.5969698279257,16.0686663510679,16.4216071344978,14.801995184973,15.9283994183148,16.4372103557147,15.9560949284689,16.6150019157214,15.9649692261674,16.3725904863504,16.4603719385859,16.7308222760749,16.4569184896381,15.4816725990144,15.7921481968601,14.9865489683655,16.4450458307937,16.3117041918788,16.345890690794,16.0551928327665,14.6390848356652,15.2553962200998,16.370374366917,15.9625241728045,15.4293773676558,15.6053973664325,16.4250667178175,16.4053307307505,16.521576988851,16.2752797819395,15.9831134568101,15.8477085375392,16.0689601795518,16.1714535439705,16.0525546052766,16.1749153258277,15.1296235568976,14.6455715091199,17.0816887721758,16.4517704133994,16.8300114223212,16.194378902982,16.6473952983917,16.9730351564911,16.4918042218568,16.2569632254983,16.5966648727249,17.0180955810993,16.960058633257,16.9343439789407,16.9849289879999,17.0003953142488,16.8963980124163,16.8391854435941,16.762464303028,17.1459576281985,16.2065114459815,15.8777572392243,16.0793826092928,16.2311862409791,16.7499868079952,16.3276729196354,17.1855803614773,17.4833761829386,16.8092211898447,16.8668375810947,16.2209432097913,16.9814462532363,17.235075857653,17.259152449653,17.1873249440315,16.9598613231634,17.0585937717246,16.6382811902251,17.2498346140302,16.8019958521976,17.6103163320583,17.0428562282909,17.7585126172821,17.7465796789822,17.1433152473263,17.2583682677332,17.4448152674687,17.2573684687561,17.0724571477559,17.4566358289874,18.2758085857347,18.1466816910736,17.7328553833524,18.3760153439403,18.099768863475,18.0008455612644,18.1267898523708,18.3171495791093,18.516810304786,17.6517592761457,18.9619114408491,18.3755055418368,18.6574706204371,18.6209964354904,19.1262248464732,18.7389603795888,18.9858250524651,19.2743190373969,19.0345645776365,18.9702043164531,17.6285854568646,18.7077075834856,18.8304074365307,19.1023481064826,18.1913135381297,19.2661354022748,20.5454866301138,20.8153885494089,21.3419487205299,20.2760501655447,20.9941268987092,20.5198703170856,21.2482724118855,20.7478866769505,21.5324983422421,21.5487271546091,21.3537326328664,21.7257542903448,22.2520968050843,22.3010336777008,22.2618134721499,22.8318522618641,22.3377105436723,22.2734004043966,23.0441121686157,22.8343393786233,23.2339428745177,23.1948766128689,23.1707127696838,22.9767381497072,23.577930672792,23.592824789852,23.8382522517895,23.8049446488659,24.0846169657296,24.1007916275143,24.3412651939013,24.8601851300759,24.8424325623579,25.1066421199235,25.2293881659493,25.1990109257543,25.5480421537729,25.4313880315453,25.8660034540305,25.8696142698732,26.0824584848735,26.5717934478162,26.7633026379076,26.9013700262309,27.1086925854901,27.3247781243048,27.5552115534992,27.5454524532929,27.9182590644822,27.8727599681412,27.9357094637245,28.1255261678365,28.1901973203539,28.2626416703677,28.5163469647147,28.6574719527857,28.7099859374271,28.5567727293535,29.4154696940538,29.2993062017097,29.6475077763381,29.7684527909641,29.7518594246544,29.8459465101995,30.0015732728867,30.299829081596,30.0991713800541,30.2742518833647,30.6261197572881,30.3292740999744,30.4651064628865,30.4255078507584],"text":["Age: 57 ex_fr_female$Type: Predicted Year: 1816 Ex: 15.585677","Age: 57 ex_fr_female$Type: Predicted Year: 1817 Ex: 15.709225","Age: 57 ex_fr_female$Type: Predicted Year: 1818 Ex: 15.761212","Age: 57 ex_fr_female$Type: Predicted Year: 1819 Ex: 15.947420","Age: 57 ex_fr_female$Type: Predicted Year: 1820 Ex: 15.474021","Age: 57 ex_fr_female$Type: Predicted Year: 1821 Ex: 16.430954","Age: 57 ex_fr_female$Type: Predicted Year: 1822 Ex: 16.416338","Age: 57 ex_fr_female$Type: Predicted Year: 1823 Ex: 16.517186","Age: 57 ex_fr_female$Type: Predicted Year: 1824 Ex: 16.696650","Age: 57 ex_fr_female$Type: Predicted Year: 1825 Ex: 16.386067","Age: 57 ex_fr_female$Type: Predicted Year: 1826 Ex: 15.846594","Age: 57 ex_fr_female$Type: Predicted Year: 1827 Ex: 16.126614","Age: 57 ex_fr_female$Type: Predicted Year: 1828 Ex: 15.844090","Age: 57 ex_fr_female$Type: Predicted Year: 1829 Ex: 15.608175","Age: 57 ex_fr_female$Type: Predicted Year: 1830 Ex: 15.671763","Age: 57 ex_fr_female$Type: Predicted Year: 1831 Ex: 15.997432","Age: 57 ex_fr_female$Type: Predicted Year: 1832 Ex: 14.303892","Age: 57 ex_fr_female$Type: Predicted Year: 1833 Ex: 16.013444","Age: 57 ex_fr_female$Type: Predicted Year: 1834 Ex: 15.596970","Age: 57 ex_fr_female$Type: Predicted Year: 1835 Ex: 16.068666","Age: 57 ex_fr_female$Type: Predicted Year: 1836 Ex: 16.421607","Age: 57 ex_fr_female$Type: Predicted Year: 1837 Ex: 14.801995","Age: 57 ex_fr_female$Type: Predicted Year: 1838 Ex: 15.928399","Age: 57 ex_fr_female$Type: Predicted Year: 1839 Ex: 16.437210","Age: 57 ex_fr_female$Type: Predicted Year: 1840 Ex: 15.956095","Age: 57 ex_fr_female$Type: Predicted Year: 1841 Ex: 16.615002","Age: 57 ex_fr_female$Type: Predicted Year: 1842 Ex: 15.964969","Age: 57 ex_fr_female$Type: Predicted Year: 1843 Ex: 16.372590","Age: 57 ex_fr_female$Type: Predicted Year: 1844 Ex: 16.460372","Age: 57 ex_fr_female$Type: Predicted Year: 1845 Ex: 16.730822","Age: 57 ex_fr_female$Type: Predicted Year: 1846 Ex: 16.456918","Age: 57 ex_fr_female$Type: Predicted Year: 1847 Ex: 15.481673","Age: 57 ex_fr_female$Type: Predicted Year: 1848 Ex: 15.792148","Age: 57 ex_fr_female$Type: Predicted Year: 1849 Ex: 14.986549","Age: 57 ex_fr_female$Type: Predicted Year: 1850 Ex: 16.445046","Age: 57 ex_fr_female$Type: Predicted Year: 1851 Ex: 16.311704","Age: 57 ex_fr_female$Type: Predicted Year: 1852 Ex: 16.345891","Age: 57 ex_fr_female$Type: Predicted Year: 1853 Ex: 16.055193","Age: 57 ex_fr_female$Type: Predicted Year: 1854 Ex: 14.639085","Age: 57 ex_fr_female$Type: Predicted Year: 1855 Ex: 15.255396","Age: 57 ex_fr_female$Type: Predicted Year: 1856 Ex: 16.370374","Age: 57 ex_fr_female$Type: Predicted Year: 1857 Ex: 15.962524","Age: 57 ex_fr_female$Type: Predicted Year: 1858 Ex: 15.429377","Age: 57 ex_fr_female$Type: Predicted Year: 1859 Ex: 15.605397","Age: 57 ex_fr_female$Type: Predicted Year: 1860 Ex: 16.425067","Age: 57 ex_fr_female$Type: Predicted Year: 1861 Ex: 16.405331","Age: 57 ex_fr_female$Type: Predicted Year: 1862 Ex: 16.521577","Age: 57 ex_fr_female$Type: Predicted Year: 1863 Ex: 16.275280","Age: 57 ex_fr_female$Type: Predicted Year: 1864 Ex: 15.983113","Age: 57 ex_fr_female$Type: Predicted Year: 1865 Ex: 15.847709","Age: 57 ex_fr_female$Type: Predicted Year: 1866 Ex: 16.068960","Age: 57 ex_fr_female$Type: Predicted Year: 1867 Ex: 16.171454","Age: 57 ex_fr_female$Type: Predicted Year: 1868 Ex: 16.052555","Age: 57 ex_fr_female$Type: Predicted Year: 1869 Ex: 16.174915","Age: 57 ex_fr_female$Type: Predicted Year: 1870 Ex: 15.129624","Age: 57 ex_fr_female$Type: Predicted Year: 1871 Ex: 14.645572","Age: 57 ex_fr_female$Type: Predicted Year: 1872 Ex: 17.081689","Age: 57 ex_fr_female$Type: Predicted Year: 1873 Ex: 16.451770","Age: 57 ex_fr_female$Type: Predicted Year: 1874 Ex: 16.830011","Age: 57 ex_fr_female$Type: Predicted Year: 1875 Ex: 16.194379","Age: 57 ex_fr_female$Type: Predicted Year: 1876 Ex: 16.647395","Age: 57 ex_fr_female$Type: Predicted Year: 1877 Ex: 16.973035","Age: 57 ex_fr_female$Type: Predicted Year: 1878 Ex: 16.491804","Age: 57 ex_fr_female$Type: Predicted Year: 1879 Ex: 16.256963","Age: 57 ex_fr_female$Type: Predicted Year: 1880 Ex: 16.596665","Age: 57 ex_fr_female$Type: Predicted Year: 1881 Ex: 17.018096","Age: 57 ex_fr_female$Type: Predicted Year: 1882 Ex: 16.960059","Age: 57 ex_fr_female$Type: Predicted Year: 1883 Ex: 16.934344","Age: 57 ex_fr_female$Type: Predicted Year: 1884 Ex: 16.984929","Age: 57 ex_fr_female$Type: Predicted Year: 1885 Ex: 17.000395","Age: 57 ex_fr_female$Type: Predicted Year: 1886 Ex: 16.896398","Age: 57 ex_fr_female$Type: Predicted Year: 1887 Ex: 16.839185","Age: 57 ex_fr_female$Type: Predicted Year: 1888 Ex: 16.762464","Age: 57 ex_fr_female$Type: Predicted Year: 1889 Ex: 17.145958","Age: 57 ex_fr_female$Type: Predicted Year: 1890 Ex: 16.206511","Age: 57 ex_fr_female$Type: Predicted Year: 1891 Ex: 15.877757","Age: 57 ex_fr_female$Type: Predicted Year: 1892 Ex: 16.079383","Age: 57 ex_fr_female$Type: Predicted Year: 1893 Ex: 16.231186","Age: 57 ex_fr_female$Type: Predicted Year: 1894 Ex: 16.749987","Age: 57 ex_fr_female$Type: Predicted Year: 1895 Ex: 16.327673","Age: 57 ex_fr_female$Type: Predicted Year: 1896 Ex: 17.185580","Age: 57 ex_fr_female$Type: Predicted Year: 1897 Ex: 17.483376","Age: 57 ex_fr_female$Type: Predicted Year: 1898 Ex: 16.809221","Age: 57 ex_fr_female$Type: Predicted Year: 1899 Ex: 16.866838","Age: 57 ex_fr_female$Type: Predicted Year: 1900 Ex: 16.220943","Age: 57 ex_fr_female$Type: Predicted Year: 1901 Ex: 16.981446","Age: 57 ex_fr_female$Type: Predicted Year: 1902 Ex: 17.235076","Age: 57 ex_fr_female$Type: Predicted Year: 1903 Ex: 17.259152","Age: 57 ex_fr_female$Type: Predicted Year: 1904 Ex: 17.187325","Age: 57 ex_fr_female$Type: Predicted Year: 1905 Ex: 16.959861","Age: 57 ex_fr_female$Type: Predicted Year: 1906 Ex: 17.058594","Age: 57 ex_fr_female$Type: Predicted Year: 1907 Ex: 16.638281","Age: 57 ex_fr_female$Type: Predicted Year: 1908 Ex: 17.249835","Age: 57 ex_fr_female$Type: Predicted Year: 1909 Ex: 16.801996","Age: 57 ex_fr_female$Type: Predicted Year: 1910 Ex: 17.610316","Age: 57 ex_fr_female$Type: Predicted Year: 1911 Ex: 17.042856","Age: 57 ex_fr_female$Type: Predicted Year: 1912 Ex: 17.758513","Age: 57 ex_fr_female$Type: Predicted Year: 1913 Ex: 17.746580","Age: 57 ex_fr_female$Type: Predicted Year: 1914 Ex: 17.143315","Age: 57 ex_fr_female$Type: Predicted Year: 1915 Ex: 17.258368","Age: 57 ex_fr_female$Type: Predicted Year: 1916 Ex: 17.444815","Age: 57 ex_fr_female$Type: Predicted Year: 1917 Ex: 17.257368","Age: 57 ex_fr_female$Type: Predicted Year: 1918 Ex: 17.072457","Age: 57 ex_fr_female$Type: Predicted Year: 1919 Ex: 17.456636","Age: 57 ex_fr_female$Type: Predicted Year: 1920 Ex: 18.275809","Age: 57 ex_fr_female$Type: Predicted Year: 1921 Ex: 18.146682","Age: 57 ex_fr_female$Type: Predicted Year: 1922 Ex: 17.732855","Age: 57 ex_fr_female$Type: Predicted Year: 1923 Ex: 18.376015","Age: 57 ex_fr_female$Type: Predicted Year: 1924 Ex: 18.099769","Age: 57 ex_fr_female$Type: Predicted Year: 1925 Ex: 18.000846","Age: 57 ex_fr_female$Type: Predicted Year: 1926 Ex: 18.126790","Age: 57 ex_fr_female$Type: Predicted Year: 1927 Ex: 18.317150","Age: 57 ex_fr_female$Type: Predicted Year: 1928 Ex: 18.516810","Age: 57 ex_fr_female$Type: Predicted Year: 1929 Ex: 17.651759","Age: 57 ex_fr_female$Type: Predicted Year: 1930 Ex: 18.961911","Age: 57 ex_fr_female$Type: Predicted Year: 1931 Ex: 18.375506","Age: 57 ex_fr_female$Type: Predicted Year: 1932 Ex: 18.657471","Age: 57 ex_fr_female$Type: Predicted Year: 1933 Ex: 18.620996","Age: 57 ex_fr_female$Type: Predicted Year: 1934 Ex: 19.126225","Age: 57 ex_fr_female$Type: Predicted Year: 1935 Ex: 18.738960","Age: 57 ex_fr_female$Type: Predicted Year: 1936 Ex: 18.985825","Age: 57 ex_fr_female$Type: Predicted Year: 1937 Ex: 19.274319","Age: 57 ex_fr_female$Type: Predicted Year: 1938 Ex: 19.034565","Age: 57 ex_fr_female$Type: Predicted Year: 1939 Ex: 18.970204","Age: 57 ex_fr_female$Type: Predicted Year: 1940 Ex: 17.628585","Age: 57 ex_fr_female$Type: Predicted Year: 1941 Ex: 18.707708","Age: 57 ex_fr_female$Type: Predicted Year: 1942 Ex: 18.830407","Age: 57 ex_fr_female$Type: Predicted Year: 1943 Ex: 19.102348","Age: 57 ex_fr_female$Type: Predicted Year: 1944 Ex: 18.191314","Age: 57 ex_fr_female$Type: Predicted Year: 1945 Ex: 19.266135","Age: 57 ex_fr_female$Type: Predicted Year: 1946 Ex: 20.545487","Age: 57 ex_fr_female$Type: Predicted Year: 1947 Ex: 20.815389","Age: 57 ex_fr_female$Type: Predicted Year: 1948 Ex: 21.341949","Age: 57 ex_fr_female$Type: Predicted Year: 1949 Ex: 20.276050","Age: 57 ex_fr_female$Type: Predicted Year: 1950 Ex: 20.994127","Age: 57 ex_fr_female$Type: Predicted Year: 1951 Ex: 20.519870","Age: 57 ex_fr_female$Type: Predicted Year: 1952 Ex: 21.248272","Age: 57 ex_fr_female$Type: Predicted Year: 1953 Ex: 20.747887","Age: 57 ex_fr_female$Type: Predicted Year: 1954 Ex: 21.532498","Age: 57 ex_fr_female$Type: Predicted Year: 1955 Ex: 21.548727","Age: 57 ex_fr_female$Type: Predicted Year: 1956 Ex: 21.353733","Age: 57 ex_fr_female$Type: Predicted Year: 1957 Ex: 21.725754","Age: 57 ex_fr_female$Type: Predicted Year: 1958 Ex: 22.252097","Age: 57 ex_fr_female$Type: Predicted Year: 1959 Ex: 22.301034","Age: 57 ex_fr_female$Type: Predicted Year: 1960 Ex: 22.261813","Age: 57 ex_fr_female$Type: Predicted Year: 1961 Ex: 22.831852","Age: 57 ex_fr_female$Type: Predicted Year: 1962 Ex: 22.337711","Age: 57 ex_fr_female$Type: Predicted Year: 1963 Ex: 22.273400","Age: 57 ex_fr_female$Type: Predicted Year: 1964 Ex: 23.044112","Age: 57 ex_fr_female$Type: Predicted Year: 1965 Ex: 22.834339","Age: 57 ex_fr_female$Type: Predicted Year: 1966 Ex: 23.233943","Age: 57 ex_fr_female$Type: Predicted Year: 1967 Ex: 23.194877","Age: 57 ex_fr_female$Type: Predicted Year: 1968 Ex: 23.170713","Age: 57 ex_fr_female$Type: Predicted Year: 1969 Ex: 22.976738","Age: 57 ex_fr_female$Type: Predicted Year: 1970 Ex: 23.577931","Age: 57 ex_fr_female$Type: Predicted Year: 1971 Ex: 23.592825","Age: 57 ex_fr_female$Type: Predicted Year: 1972 Ex: 23.838252","Age: 57 ex_fr_female$Type: Predicted Year: 1973 Ex: 23.804945","Age: 57 ex_fr_female$Type: Predicted Year: 1974 Ex: 24.084617","Age: 57 ex_fr_female$Type: Predicted Year: 1975 Ex: 24.100792","Age: 57 ex_fr_female$Type: Predicted Year: 1976 Ex: 24.341265","Age: 57 ex_fr_female$Type: Predicted Year: 1977 Ex: 24.860185","Age: 57 ex_fr_female$Type: Predicted Year: 1978 Ex: 24.842433","Age: 57 ex_fr_female$Type: Predicted Year: 1979 Ex: 25.106642","Age: 57 ex_fr_female$Type: Predicted Year: 1980 Ex: 25.229388","Age: 57 ex_fr_female$Type: Predicted Year: 1981 Ex: 25.199011","Age: 57 ex_fr_female$Type: Predicted Year: 1982 Ex: 25.548042","Age: 57 ex_fr_female$Type: Predicted Year: 1983 Ex: 25.431388","Age: 57 ex_fr_female$Type: Predicted Year: 1984 Ex: 25.866003","Age: 57 ex_fr_female$Type: Predicted Year: 1985 Ex: 25.869614","Age: 57 ex_fr_female$Type: Predicted Year: 1986 Ex: 26.082458","Age: 57 ex_fr_female$Type: Predicted Year: 1987 Ex: 26.571793","Age: 57 ex_fr_female$Type: Predicted Year: 1988 Ex: 26.763303","Age: 57 ex_fr_female$Type: Predicted Year: 1989 Ex: 26.901370","Age: 57 ex_fr_female$Type: Predicted Year: 1990 Ex: 27.108693","Age: 57 ex_fr_female$Type: Predicted Year: 1991 Ex: 27.324778","Age: 57 ex_fr_female$Type: Predicted Year: 1992 Ex: 27.555212","Age: 57 ex_fr_female$Type: Predicted Year: 1993 Ex: 27.545452","Age: 57 ex_fr_female$Type: Predicted Year: 1994 Ex: 27.918259","Age: 57 ex_fr_female$Type: Predicted Year: 1995 Ex: 27.872760","Age: 57 ex_fr_female$Type: Predicted Year: 1996 Ex: 27.935709","Age: 57 ex_fr_female$Type: Predicted Year: 1997 Ex: 28.125526","Age: 57 ex_fr_female$Type: Predicted Year: 1998 Ex: 28.190197","Age: 57 ex_fr_female$Type: Predicted Year: 1999 Ex: 28.262642","Age: 57 ex_fr_female$Type: Predicted Year: 2000 Ex: 28.516347","Age: 57 ex_fr_female$Type: Predicted Year: 2001 Ex: 28.657472","Age: 57 ex_fr_female$Type: Predicted Year: 2002 Ex: 28.709986","Age: 57 ex_fr_female$Type: Predicted Year: 2003 Ex: 28.556773","Age: 57 ex_fr_female$Type: Predicted Year: 2004 Ex: 29.415470","Age: 57 ex_fr_female$Type: Predicted Year: 2005 Ex: 29.299306","Age: 57 ex_fr_female$Type: Predicted Year: 2006 Ex: 29.647508","Age: 57 ex_fr_female$Type: Predicted Year: 2007 Ex: 29.768453","Age: 57 ex_fr_female$Type: Predicted Year: 2008 Ex: 29.751859","Age: 57 ex_fr_female$Type: Predicted Year: 2009 Ex: 29.845947","Age: 57 ex_fr_female$Type: Predicted Year: 2010 Ex: 30.001573","Age: 57 ex_fr_female$Type: Predicted Year: 2011 Ex: 30.299829","Age: 57 ex_fr_female$Type: Predicted Year: 2012 Ex: 30.099171","Age: 57 ex_fr_female$Type: Predicted Year: 2013 Ex: 30.274252","Age: 57 ex_fr_female$Type: Predicted Year: 2014 Ex: 30.626120","Age: 57 ex_fr_female$Type: Predicted Year: 2015 Ex: 30.329274","Age: 57 ex_fr_female$Type: Predicted Year: 2016 Ex: 30.465106","Age: 57 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1926 Ex: 17.120000","Age: 58 ex_fr_female$Type: Observed Year: 1927 Ex: 17.310000","Age: 58 ex_fr_female$Type: Observed Year: 1928 Ex: 17.500000","Age: 58 ex_fr_female$Type: Observed Year: 1929 Ex: 16.640000","Age: 58 ex_fr_female$Type: Observed Year: 1930 Ex: 17.950000","Age: 58 ex_fr_female$Type: Observed Year: 1931 Ex: 17.370000","Age: 58 ex_fr_female$Type: Observed Year: 1932 Ex: 17.650000","Age: 58 ex_fr_female$Type: Observed Year: 1933 Ex: 17.620000","Age: 58 ex_fr_female$Type: Observed Year: 1934 Ex: 18.110000","Age: 58 ex_fr_female$Type: Observed Year: 1935 Ex: 17.730000","Age: 58 ex_fr_female$Type: Observed Year: 1936 Ex: 17.960000","Age: 58 ex_fr_female$Type: Observed Year: 1937 Ex: 18.250000","Age: 58 ex_fr_female$Type: Observed Year: 1938 Ex: 18.010000","Age: 58 ex_fr_female$Type: Observed Year: 1939 Ex: 17.940000","Age: 58 ex_fr_female$Type: Observed Year: 1940 Ex: 16.620000","Age: 58 ex_fr_female$Type: Observed Year: 1941 Ex: 17.690000","Age: 58 ex_fr_female$Type: Observed Year: 1942 Ex: 17.810000","Age: 58 ex_fr_female$Type: Observed Year: 1943 Ex: 18.070000","Age: 58 ex_fr_female$Type: Observed Year: 1944 Ex: 17.190000","Age: 58 ex_fr_female$Type: Observed Year: 1945 Ex: 18.220000","Age: 58 ex_fr_female$Type: Observed Year: 1946 Ex: 19.470000","Age: 58 ex_fr_female$Type: Observed Year: 1947 Ex: 19.740000","Age: 58 ex_fr_female$Type: Observed Year: 1948 Ex: 20.260000","Age: 58 ex_fr_female$Type: Observed Year: 1949 Ex: 19.200000","Age: 58 ex_fr_female$Type: Observed Year: 1950 Ex: 19.920000","Age: 58 ex_fr_female$Type: Observed Year: 1951 Ex: 19.460000","Age: 58 ex_fr_female$Type: Observed Year: 1952 Ex: 20.170000","Age: 58 ex_fr_female$Type: Observed Year: 1953 Ex: 19.670000","Age: 58 ex_fr_female$Type: Observed Year: 1954 Ex: 20.450000","Age: 58 ex_fr_female$Type: Observed Year: 1955 Ex: 20.470000","Age: 58 ex_fr_female$Type: Observed Year: 1956 Ex: 20.270000","Age: 58 ex_fr_female$Type: Observed Year: 1957 Ex: 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1973 Ex: 22.690000","Age: 58 ex_fr_female$Type: Observed Year: 1974 Ex: 22.970000","Age: 58 ex_fr_female$Type: Observed Year: 1975 Ex: 22.990000","Age: 58 ex_fr_female$Type: Observed Year: 1976 Ex: 23.220000","Age: 58 ex_fr_female$Type: Observed Year: 1977 Ex: 23.730000","Age: 58 ex_fr_female$Type: Observed Year: 1978 Ex: 23.720000","Age: 58 ex_fr_female$Type: Observed Year: 1979 Ex: 23.980000","Age: 58 ex_fr_female$Type: Observed Year: 1980 Ex: 24.090000","Age: 58 ex_fr_female$Type: Observed Year: 1981 Ex: 24.070000","Age: 58 ex_fr_female$Type: Observed Year: 1982 Ex: 24.410000","Age: 58 ex_fr_female$Type: Observed Year: 1983 Ex: 24.290000","Age: 58 ex_fr_female$Type: Observed Year: 1984 Ex: 24.730000","Age: 58 ex_fr_female$Type: Observed Year: 1985 Ex: 24.720000","Age: 58 ex_fr_female$Type: Observed Year: 1986 Ex: 24.940000","Age: 58 ex_fr_female$Type: Observed Year: 1987 Ex: 25.430000","Age: 58 ex_fr_female$Type: Observed Year: 1988 Ex: 25.630000","Age: 58 ex_fr_female$Type: Observed Year: 1989 Ex: 25.760000","Age: 58 ex_fr_female$Type: Observed Year: 1990 Ex: 25.960000","Age: 58 ex_fr_female$Type: Observed Year: 1991 Ex: 26.170000","Age: 58 ex_fr_female$Type: Observed Year: 1992 Ex: 26.410000","Age: 58 ex_fr_female$Type: Observed Year: 1993 Ex: 26.400000","Age: 58 ex_fr_female$Type: Observed Year: 1994 Ex: 26.770000","Age: 58 ex_fr_female$Type: Observed Year: 1995 Ex: 26.720000","Age: 58 ex_fr_female$Type: Observed Year: 1996 Ex: 26.790000","Age: 58 ex_fr_female$Type: Observed Year: 1997 Ex: 26.970000","Age: 58 ex_fr_female$Type: Observed Year: 1998 Ex: 27.040000","Age: 58 ex_fr_female$Type: Observed Year: 1999 Ex: 27.110000","Age: 58 ex_fr_female$Type: Observed Year: 2000 Ex: 27.360000","Age: 58 ex_fr_female$Type: Observed Year: 2001 Ex: 27.510000","Age: 58 ex_fr_female$Type: Observed Year: 2002 Ex: 27.560000","Age: 58 ex_fr_female$Type: Observed Year: 2003 Ex: 27.400000","Age: 58 ex_fr_female$Type: Observed Year: 2004 Ex: 28.260000","Age: 58 ex_fr_female$Type: Observed Year: 2005 Ex: 28.150000","Age: 58 ex_fr_female$Type: Observed Year: 2006 Ex: 28.500000","Age: 58 ex_fr_female$Type: Observed Year: 2007 Ex: 28.620000","Age: 58 ex_fr_female$Type: Observed Year: 2008 Ex: 28.600000","Age: 58 ex_fr_female$Type: Observed Year: 2009 Ex: 28.700000","Age: 58 ex_fr_female$Type: Observed Year: 2010 Ex: 28.850000","Age: 58 ex_fr_female$Type: Observed Year: 2011 Ex: 29.140000","Age: 58 ex_fr_female$Type: Observed Year: 2012 Ex: 28.950000","Age: 58 ex_fr_female$Type: Observed Year: 2013 Ex: 29.120000","Age: 58 ex_fr_female$Type: Observed Year: 2014 Ex: 29.470000","Age: 58 ex_fr_female$Type: Observed Year: 2015 Ex: 29.180000","Age: 58 ex_fr_female$Type: Observed Year: 2016 Ex: 29.320000","Age: 58 ex_fr_female$Type: Observed Year: 2017 Ex: 29.280000"],"frame":"58","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[14.9530581150493,15.0771222244803,15.1363074604171,15.3082667044183,14.8307078520944,15.7916863683541,15.7619329788199,15.8536808871757,16.0435319630853,15.7467583661395,15.2201722548928,15.5089296589291,15.214620203275,14.9609427840645,15.0250833863261,15.3399493129584,13.717202696331,15.3744039961432,14.9861398992035,15.443025247256,15.7689431723083,14.1639243495569,15.2711262073123,15.7731645661498,15.2969089356067,15.9492742101535,15.3102476201507,15.7055617061081,15.7876897648761,16.0633552360478,15.7968734567531,14.8403825109655,15.1535944712233,14.4018064301465,15.7837706924531,15.6435596064241,15.6710224436745,15.3843650033102,14.0602475382525,14.6359125811396,15.7187012830979,15.324831754442,14.7924931418272,14.9639761173979,15.7466227540892,15.7334678644071,15.8367470651369,15.591719080645,15.2990634435032,15.1834658443513,15.4066939483441,15.4981252492223,15.3881844951739,15.5139865761791,14.4998437509087,14.0657618731697,16.4271650551354,15.78721707825,16.1519150244416,15.5364370994886,15.9754176829188,16.2876815364059,15.8145446470573,15.5831653426793,15.9277635541101,16.3469076883195,16.2867081165741,16.256628319963,16.3130808752017,16.332726539127,16.2326579302342,16.1761064978566,16.0691112183981,16.4462721625276,15.5142023699965,15.1782238563237,15.3879195065385,15.5236482667957,16.0529216677689,15.6343485153036,16.4923866408687,16.792890874467,16.1165835773464,16.1737849645437,15.5497700924697,16.3004532600713,16.5249052958559,16.558949927224,16.4960329188447,16.2591647480652,16.3612100957445,15.9583804071109,16.5499769406356,16.1005867896726,16.9054259283851,16.3485545943723,17.0358234759451,17.0270288316202,16.444937759326,16.5636116363677,16.7481064833989,16.5479249658263,16.3940704782417,16.7622101233417,17.5574580615827,17.4241340538843,17.0228920960681,17.6532606225021,17.3870345370019,17.2886312446164,17.4071526587838,17.5907679103792,17.7812416130071,16.9242179768997,18.2366226148505,17.6503830719601,17.9333655249734,17.904065666783,18.3918528364685,18.0185008724102,18.2425144533578,18.531588236395,18.2955017412052,18.2276132137622,16.9065936486641,17.9712458640058,18.0858680629874,18.354243686289,17.4714445025391,18.4978172518076,19.7512012215968,20.0152545473676,20.5408922149735,19.4837953584073,20.1947165663842,19.7342233659477,20.4492544915601,19.9513830254626,20.7277406463695,20.741570913801,20.5445794443782,20.9099404918036,21.425277594579,21.4798787047832,21.4370458982251,21.9963718443339,21.5098120699306,21.4419229760281,22.2124666417904,22.0078787628307,22.3979896720225,22.359784486047,22.3331616011878,22.1425515393144,22.7323755440251,22.7534145090226,22.9939693887442,22.9583281837569,23.243877349099,23.2618245224241,23.4914599508558,24.0028652371482,23.9869675867994,24.2520033307758,24.3642829513884,24.3387072911259,24.6788832945658,24.5636248405921,25.0018205441056,24.9932109351213,25.208891662988,25.6985490283208,25.8915171240279,26.02654454419,26.2236237271438,26.4401037960239,26.6717996275384,26.6652581236679,27.0314554764365,26.9860433970904,27.0500799056128,27.2329215564216,27.3025701745311,27.3736360444087,27.6277930827088,27.7691967568308,27.8202198386905,27.6635914212396,28.5223649990626,28.4077955530085,28.7619903927495,28.8778281048348,28.8602919046135,28.9600301048327,29.1135965196436,29.4061056454101,29.2106738891603,29.3849196465527,29.7320483423029,29.4374518739873,29.5764836124763,29.5355363668978],"text":["Age: 58 ex_fr_female$Type: Predicted Year: 1816 Ex: 14.953058","Age: 58 ex_fr_female$Type: Predicted Year: 1817 Ex: 15.077122","Age: 58 ex_fr_female$Type: Predicted Year: 1818 Ex: 15.136307","Age: 58 ex_fr_female$Type: Predicted Year: 1819 Ex: 15.308267","Age: 58 ex_fr_female$Type: Predicted Year: 1820 Ex: 14.830708","Age: 58 ex_fr_female$Type: Predicted Year: 1821 Ex: 15.791686","Age: 58 ex_fr_female$Type: Predicted Year: 1822 Ex: 15.761933","Age: 58 ex_fr_female$Type: Predicted Year: 1823 Ex: 15.853681","Age: 58 ex_fr_female$Type: Predicted Year: 1824 Ex: 16.043532","Age: 58 ex_fr_female$Type: Predicted Year: 1825 Ex: 15.746758","Age: 58 ex_fr_female$Type: Predicted Year: 1826 Ex: 15.220172","Age: 58 ex_fr_female$Type: Predicted Year: 1827 Ex: 15.508930","Age: 58 ex_fr_female$Type: Predicted Year: 1828 Ex: 15.214620","Age: 58 ex_fr_female$Type: Predicted Year: 1829 Ex: 14.960943","Age: 58 ex_fr_female$Type: Predicted Year: 1830 Ex: 15.025083","Age: 58 ex_fr_female$Type: Predicted Year: 1831 Ex: 15.339949","Age: 58 ex_fr_female$Type: Predicted Year: 1832 Ex: 13.717203","Age: 58 ex_fr_female$Type: Predicted Year: 1833 Ex: 15.374404","Age: 58 ex_fr_female$Type: Predicted Year: 1834 Ex: 14.986140","Age: 58 ex_fr_female$Type: Predicted Year: 1835 Ex: 15.443025","Age: 58 ex_fr_female$Type: Predicted Year: 1836 Ex: 15.768943","Age: 58 ex_fr_female$Type: Predicted Year: 1837 Ex: 14.163924","Age: 58 ex_fr_female$Type: Predicted Year: 1838 Ex: 15.271126","Age: 58 ex_fr_female$Type: Predicted Year: 1839 Ex: 15.773165","Age: 58 ex_fr_female$Type: Predicted Year: 1840 Ex: 15.296909","Age: 58 ex_fr_female$Type: Predicted Year: 1841 Ex: 15.949274","Age: 58 ex_fr_female$Type: Predicted Year: 1842 Ex: 15.310248","Age: 58 ex_fr_female$Type: Predicted Year: 1843 Ex: 15.705562","Age: 58 ex_fr_female$Type: Predicted Year: 1844 Ex: 15.787690","Age: 58 ex_fr_female$Type: Predicted Year: 1845 Ex: 16.063355","Age: 58 ex_fr_female$Type: Predicted Year: 1846 Ex: 15.796873","Age: 58 ex_fr_female$Type: Predicted Year: 1847 Ex: 14.840383","Age: 58 ex_fr_female$Type: Predicted Year: 1848 Ex: 15.153594","Age: 58 ex_fr_female$Type: Predicted Year: 1849 Ex: 14.401806","Age: 58 ex_fr_female$Type: Predicted Year: 1850 Ex: 15.783771","Age: 58 ex_fr_female$Type: Predicted Year: 1851 Ex: 15.643560","Age: 58 ex_fr_female$Type: Predicted Year: 1852 Ex: 15.671022","Age: 58 ex_fr_female$Type: Predicted Year: 1853 Ex: 15.384365","Age: 58 ex_fr_female$Type: Predicted Year: 1854 Ex: 14.060248","Age: 58 ex_fr_female$Type: Predicted Year: 1855 Ex: 14.635913","Age: 58 ex_fr_female$Type: Predicted Year: 1856 Ex: 15.718701","Age: 58 ex_fr_female$Type: Predicted Year: 1857 Ex: 15.324832","Age: 58 ex_fr_female$Type: Predicted Year: 1858 Ex: 14.792493","Age: 58 ex_fr_female$Type: Predicted Year: 1859 Ex: 14.963976","Age: 58 ex_fr_female$Type: Predicted Year: 1860 Ex: 15.746623","Age: 58 ex_fr_female$Type: Predicted Year: 1861 Ex: 15.733468","Age: 58 ex_fr_female$Type: Predicted Year: 1862 Ex: 15.836747","Age: 58 ex_fr_female$Type: Predicted Year: 1863 Ex: 15.591719","Age: 58 ex_fr_female$Type: Predicted Year: 1864 Ex: 15.299063","Age: 58 ex_fr_female$Type: Predicted Year: 1865 Ex: 15.183466","Age: 58 ex_fr_female$Type: Predicted Year: 1866 Ex: 15.406694","Age: 58 ex_fr_female$Type: Predicted Year: 1867 Ex: 15.498125","Age: 58 ex_fr_female$Type: Predicted Year: 1868 Ex: 15.388184","Age: 58 ex_fr_female$Type: Predicted Year: 1869 Ex: 15.513987","Age: 58 ex_fr_female$Type: Predicted Year: 1870 Ex: 14.499844","Age: 58 ex_fr_female$Type: Predicted Year: 1871 Ex: 14.065762","Age: 58 ex_fr_female$Type: Predicted Year: 1872 Ex: 16.427165","Age: 58 ex_fr_female$Type: Predicted Year: 1873 Ex: 15.787217","Age: 58 ex_fr_female$Type: Predicted Year: 1874 Ex: 16.151915","Age: 58 ex_fr_female$Type: Predicted Year: 1875 Ex: 15.536437","Age: 58 ex_fr_female$Type: Predicted Year: 1876 Ex: 15.975418","Age: 58 ex_fr_female$Type: Predicted Year: 1877 Ex: 16.287682","Age: 58 ex_fr_female$Type: Predicted Year: 1878 Ex: 15.814545","Age: 58 ex_fr_female$Type: Predicted Year: 1879 Ex: 15.583165","Age: 58 ex_fr_female$Type: Predicted Year: 1880 Ex: 15.927764","Age: 58 ex_fr_female$Type: Predicted Year: 1881 Ex: 16.346908","Age: 58 ex_fr_female$Type: Predicted Year: 1882 Ex: 16.286708","Age: 58 ex_fr_female$Type: Predicted Year: 1883 Ex: 16.256628","Age: 58 ex_fr_female$Type: Predicted Year: 1884 Ex: 16.313081","Age: 58 ex_fr_female$Type: Predicted Year: 1885 Ex: 16.332727","Age: 58 ex_fr_female$Type: Predicted Year: 1886 Ex: 16.232658","Age: 58 ex_fr_female$Type: Predicted Year: 1887 Ex: 16.176106","Age: 58 ex_fr_female$Type: Predicted Year: 1888 Ex: 16.069111","Age: 58 ex_fr_female$Type: Predicted Year: 1889 Ex: 16.446272","Age: 58 ex_fr_female$Type: Predicted Year: 1890 Ex: 15.514202","Age: 58 ex_fr_female$Type: Predicted Year: 1891 Ex: 15.178224","Age: 58 ex_fr_female$Type: Predicted Year: 1892 Ex: 15.387920","Age: 58 ex_fr_female$Type: Predicted Year: 1893 Ex: 15.523648","Age: 58 ex_fr_female$Type: Predicted Year: 1894 Ex: 16.052922","Age: 58 ex_fr_female$Type: Predicted Year: 1895 Ex: 15.634349","Age: 58 ex_fr_female$Type: Predicted Year: 1896 Ex: 16.492387","Age: 58 ex_fr_female$Type: Predicted Year: 1897 Ex: 16.792891","Age: 58 ex_fr_female$Type: Predicted Year: 1898 Ex: 16.116584","Age: 58 ex_fr_female$Type: Predicted Year: 1899 Ex: 16.173785","Age: 58 ex_fr_female$Type: Predicted Year: 1900 Ex: 15.549770","Age: 58 ex_fr_female$Type: Predicted Year: 1901 Ex: 16.300453","Age: 58 ex_fr_female$Type: Predicted Year: 1902 Ex: 16.524905","Age: 58 ex_fr_female$Type: Predicted Year: 1903 Ex: 16.558950","Age: 58 ex_fr_female$Type: Predicted Year: 1904 Ex: 16.496033","Age: 58 ex_fr_female$Type: Predicted Year: 1905 Ex: 16.259165","Age: 58 ex_fr_female$Type: Predicted Year: 1906 Ex: 16.361210","Age: 58 ex_fr_female$Type: Predicted Year: 1907 Ex: 15.958380","Age: 58 ex_fr_female$Type: Predicted Year: 1908 Ex: 16.549977","Age: 58 ex_fr_female$Type: Predicted Year: 1909 Ex: 16.100587","Age: 58 ex_fr_female$Type: Predicted Year: 1910 Ex: 16.905426","Age: 58 ex_fr_female$Type: Predicted Year: 1911 Ex: 16.348555","Age: 58 ex_fr_female$Type: Predicted Year: 1912 Ex: 17.035823","Age: 58 ex_fr_female$Type: Predicted Year: 1913 Ex: 17.027029","Age: 58 ex_fr_female$Type: Predicted Year: 1914 Ex: 16.444938","Age: 58 ex_fr_female$Type: Predicted Year: 1915 Ex: 16.563612","Age: 58 ex_fr_female$Type: Predicted Year: 1916 Ex: 16.748106","Age: 58 ex_fr_female$Type: Predicted Year: 1917 Ex: 16.547925","Age: 58 ex_fr_female$Type: Predicted Year: 1918 Ex: 16.394070","Age: 58 ex_fr_female$Type: Predicted Year: 1919 Ex: 16.762210","Age: 58 ex_fr_female$Type: Predicted Year: 1920 Ex: 17.557458","Age: 58 ex_fr_female$Type: Predicted Year: 1921 Ex: 17.424134","Age: 58 ex_fr_female$Type: Predicted Year: 1922 Ex: 17.022892","Age: 58 ex_fr_female$Type: Predicted Year: 1923 Ex: 17.653261","Age: 58 ex_fr_female$Type: Predicted Year: 1924 Ex: 17.387035","Age: 58 ex_fr_female$Type: Predicted Year: 1925 Ex: 17.288631","Age: 58 ex_fr_female$Type: Predicted Year: 1926 Ex: 17.407153","Age: 58 ex_fr_female$Type: Predicted Year: 1927 Ex: 17.590768","Age: 58 ex_fr_female$Type: Predicted Year: 1928 Ex: 17.781242","Age: 58 ex_fr_female$Type: Predicted Year: 1929 Ex: 16.924218","Age: 58 ex_fr_female$Type: Predicted Year: 1930 Ex: 18.236623","Age: 58 ex_fr_female$Type: Predicted Year: 1931 Ex: 17.650383","Age: 58 ex_fr_female$Type: Predicted Year: 1932 Ex: 17.933366","Age: 58 ex_fr_female$Type: Predicted Year: 1933 Ex: 17.904066","Age: 58 ex_fr_female$Type: Predicted Year: 1934 Ex: 18.391853","Age: 58 ex_fr_female$Type: Predicted Year: 1935 Ex: 18.018501","Age: 58 ex_fr_female$Type: Predicted Year: 1936 Ex: 18.242514","Age: 58 ex_fr_female$Type: Predicted Year: 1937 Ex: 18.531588","Age: 58 ex_fr_female$Type: Predicted Year: 1938 Ex: 18.295502","Age: 58 ex_fr_female$Type: Predicted Year: 1939 Ex: 18.227613","Age: 58 ex_fr_female$Type: Predicted Year: 1940 Ex: 16.906594","Age: 58 ex_fr_female$Type: Predicted Year: 1941 Ex: 17.971246","Age: 58 ex_fr_female$Type: Predicted Year: 1942 Ex: 18.085868","Age: 58 ex_fr_female$Type: Predicted Year: 1943 Ex: 18.354244","Age: 58 ex_fr_female$Type: Predicted Year: 1944 Ex: 17.471445","Age: 58 ex_fr_female$Type: Predicted Year: 1945 Ex: 18.497817","Age: 58 ex_fr_female$Type: Predicted Year: 1946 Ex: 19.751201","Age: 58 ex_fr_female$Type: Predicted Year: 1947 Ex: 20.015255","Age: 58 ex_fr_female$Type: Predicted Year: 1948 Ex: 20.540892","Age: 58 ex_fr_female$Type: Predicted Year: 1949 Ex: 19.483795","Age: 58 ex_fr_female$Type: Predicted Year: 1950 Ex: 20.194717","Age: 58 ex_fr_female$Type: Predicted Year: 1951 Ex: 19.734223","Age: 58 ex_fr_female$Type: Predicted Year: 1952 Ex: 20.449254","Age: 58 ex_fr_female$Type: Predicted Year: 1953 Ex: 19.951383","Age: 58 ex_fr_female$Type: Predicted Year: 1954 Ex: 20.727741","Age: 58 ex_fr_female$Type: Predicted Year: 1955 Ex: 20.741571","Age: 58 ex_fr_female$Type: Predicted Year: 1956 Ex: 20.544579","Age: 58 ex_fr_female$Type: Predicted Year: 1957 Ex: 20.909940","Age: 58 ex_fr_female$Type: Predicted Year: 1958 Ex: 21.425278","Age: 58 ex_fr_female$Type: Predicted Year: 1959 Ex: 21.479879","Age: 58 ex_fr_female$Type: Predicted Year: 1960 Ex: 21.437046","Age: 58 ex_fr_female$Type: Predicted Year: 1961 Ex: 21.996372","Age: 58 ex_fr_female$Type: Predicted Year: 1962 Ex: 21.509812","Age: 58 ex_fr_female$Type: Predicted Year: 1963 Ex: 21.441923","Age: 58 ex_fr_female$Type: Predicted Year: 1964 Ex: 22.212467","Age: 58 ex_fr_female$Type: Predicted Year: 1965 Ex: 22.007879","Age: 58 ex_fr_female$Type: Predicted Year: 1966 Ex: 22.397990","Age: 58 ex_fr_female$Type: Predicted Year: 1967 Ex: 22.359784","Age: 58 ex_fr_female$Type: Predicted Year: 1968 Ex: 22.333162","Age: 58 ex_fr_female$Type: Predicted Year: 1969 Ex: 22.142552","Age: 58 ex_fr_female$Type: Predicted Year: 1970 Ex: 22.732376","Age: 58 ex_fr_female$Type: Predicted Year: 1971 Ex: 22.753415","Age: 58 ex_fr_female$Type: Predicted Year: 1972 Ex: 22.993969","Age: 58 ex_fr_female$Type: Predicted Year: 1973 Ex: 22.958328","Age: 58 ex_fr_female$Type: Predicted Year: 1974 Ex: 23.243877","Age: 58 ex_fr_female$Type: Predicted Year: 1975 Ex: 23.261825","Age: 58 ex_fr_female$Type: Predicted Year: 1976 Ex: 23.491460","Age: 58 ex_fr_female$Type: Predicted Year: 1977 Ex: 24.002865","Age: 58 ex_fr_female$Type: Predicted Year: 1978 Ex: 23.986968","Age: 58 ex_fr_female$Type: Predicted Year: 1979 Ex: 24.252003","Age: 58 ex_fr_female$Type: Predicted Year: 1980 Ex: 24.364283","Age: 58 ex_fr_female$Type: Predicted Year: 1981 Ex: 24.338707","Age: 58 ex_fr_female$Type: Predicted Year: 1982 Ex: 24.678883","Age: 58 ex_fr_female$Type: Predicted Year: 1983 Ex: 24.563625","Age: 58 ex_fr_female$Type: Predicted Year: 1984 Ex: 25.001821","Age: 58 ex_fr_female$Type: Predicted Year: 1985 Ex: 24.993211","Age: 58 ex_fr_female$Type: Predicted Year: 1986 Ex: 25.208892","Age: 58 ex_fr_female$Type: Predicted Year: 1987 Ex: 25.698549","Age: 58 ex_fr_female$Type: Predicted Year: 1988 Ex: 25.891517","Age: 58 ex_fr_female$Type: Predicted Year: 1989 Ex: 26.026545","Age: 58 ex_fr_female$Type: Predicted Year: 1990 Ex: 26.223624","Age: 58 ex_fr_female$Type: Predicted Year: 1991 Ex: 26.440104","Age: 58 ex_fr_female$Type: Predicted Year: 1992 Ex: 26.671800","Age: 58 ex_fr_female$Type: Predicted Year: 1993 Ex: 26.665258","Age: 58 ex_fr_female$Type: Predicted Year: 1994 Ex: 27.031455","Age: 58 ex_fr_female$Type: Predicted Year: 1995 Ex: 26.986043","Age: 58 ex_fr_female$Type: Predicted Year: 1996 Ex: 27.050080","Age: 58 ex_fr_female$Type: Predicted Year: 1997 Ex: 27.232922","Age: 58 ex_fr_female$Type: Predicted Year: 1998 Ex: 27.302570","Age: 58 ex_fr_female$Type: Predicted Year: 1999 Ex: 27.373636","Age: 58 ex_fr_female$Type: Predicted Year: 2000 Ex: 27.627793","Age: 58 ex_fr_female$Type: Predicted Year: 2001 Ex: 27.769197","Age: 58 ex_fr_female$Type: Predicted Year: 2002 Ex: 27.820220","Age: 58 ex_fr_female$Type: Predicted Year: 2003 Ex: 27.663591","Age: 58 ex_fr_female$Type: Predicted Year: 2004 Ex: 28.522365","Age: 58 ex_fr_female$Type: Predicted Year: 2005 Ex: 28.407796","Age: 58 ex_fr_female$Type: Predicted Year: 2006 Ex: 28.761990","Age: 58 ex_fr_female$Type: Predicted Year: 2007 Ex: 28.877828","Age: 58 ex_fr_female$Type: Predicted Year: 2008 Ex: 28.860292","Age: 58 ex_fr_female$Type: Predicted Year: 2009 Ex: 28.960030","Age: 58 ex_fr_female$Type: Predicted Year: 2010 Ex: 29.113597","Age: 58 ex_fr_female$Type: Predicted Year: 2011 Ex: 29.406106","Age: 58 ex_fr_female$Type: Predicted Year: 2012 Ex: 29.210674","Age: 58 ex_fr_female$Type: Predicted Year: 2013 Ex: 29.384920","Age: 58 ex_fr_female$Type: Predicted Year: 2014 Ex: 29.732048","Age: 58 ex_fr_female$Type: Predicted Year: 2015 Ex: 29.437452","Age: 58 ex_fr_female$Type: Predicted Year: 2016 Ex: 29.576484","Age: 58 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1989 Ex: 24.890000","Age: 59 ex_fr_female$Type: Observed Year: 1990 Ex: 25.090000","Age: 59 ex_fr_female$Type: Observed Year: 1991 Ex: 25.300000","Age: 59 ex_fr_female$Type: Observed Year: 1992 Ex: 25.530000","Age: 59 ex_fr_female$Type: Observed Year: 1993 Ex: 25.520000","Age: 59 ex_fr_female$Type: Observed Year: 1994 Ex: 25.880000","Age: 59 ex_fr_female$Type: Observed Year: 1995 Ex: 25.830000","Age: 59 ex_fr_female$Type: Observed Year: 1996 Ex: 25.900000","Age: 59 ex_fr_female$Type: Observed Year: 1997 Ex: 26.080000","Age: 59 ex_fr_female$Type: Observed Year: 1998 Ex: 26.160000","Age: 59 ex_fr_female$Type: Observed Year: 1999 Ex: 26.220000","Age: 59 ex_fr_female$Type: Observed Year: 2000 Ex: 26.470000","Age: 59 ex_fr_female$Type: Observed Year: 2001 Ex: 26.620000","Age: 59 ex_fr_female$Type: Observed Year: 2002 Ex: 26.670000","Age: 59 ex_fr_female$Type: Observed Year: 2003 Ex: 26.510000","Age: 59 ex_fr_female$Type: Observed Year: 2004 Ex: 27.370000","Age: 59 ex_fr_female$Type: Observed Year: 2005 Ex: 27.250000","Age: 59 ex_fr_female$Type: Observed Year: 2006 Ex: 27.600000","Age: 59 ex_fr_female$Type: Observed Year: 2007 Ex: 27.730000","Age: 59 ex_fr_female$Type: Observed Year: 2008 Ex: 27.710000","Age: 59 ex_fr_female$Type: Observed Year: 2009 Ex: 27.810000","Age: 59 ex_fr_female$Type: Observed Year: 2010 Ex: 27.960000","Age: 59 ex_fr_female$Type: Observed Year: 2011 Ex: 28.260000","Age: 59 ex_fr_female$Type: Observed Year: 2012 Ex: 28.060000","Age: 59 ex_fr_female$Type: Observed Year: 2013 Ex: 28.240000","Age: 59 ex_fr_female$Type: Observed Year: 2014 Ex: 28.580000","Age: 59 ex_fr_female$Type: Observed Year: 2015 Ex: 28.290000","Age: 59 ex_fr_female$Type: Observed Year: 2016 Ex: 28.430000","Age: 59 ex_fr_female$Type: Observed Year: 2017 Ex: 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59 ex_fr_female$Type: Predicted Year: 1816 Ex: 14.339278","Age: 59 ex_fr_female$Type: Predicted Year: 1817 Ex: 14.463065","Age: 59 ex_fr_female$Type: Predicted Year: 1818 Ex: 14.533587","Age: 59 ex_fr_female$Type: Predicted Year: 1819 Ex: 14.692729","Age: 59 ex_fr_female$Type: Predicted Year: 1820 Ex: 14.204537","Age: 59 ex_fr_female$Type: Predicted Year: 1821 Ex: 15.164084","Age: 59 ex_fr_female$Type: Predicted Year: 1822 Ex: 15.121728","Age: 59 ex_fr_female$Type: Predicted Year: 1823 Ex: 15.214695","Age: 59 ex_fr_female$Type: Predicted Year: 1824 Ex: 15.410761","Age: 59 ex_fr_female$Type: Predicted Year: 1825 Ex: 15.117750","Age: 59 ex_fr_female$Type: Predicted Year: 1826 Ex: 14.602197","Age: 59 ex_fr_female$Type: Predicted Year: 1827 Ex: 14.897986","Age: 59 ex_fr_female$Type: Predicted Year: 1828 Ex: 14.603750","Age: 59 ex_fr_female$Type: Predicted Year: 1829 Ex: 14.337278","Age: 59 ex_fr_female$Type: Predicted Year: 1830 Ex: 14.396531","Age: 59 ex_fr_female$Type: Predicted Year: 1831 Ex: 14.702258","Age: 59 ex_fr_female$Type: Predicted Year: 1832 Ex: 13.153584","Age: 59 ex_fr_female$Type: Predicted Year: 1833 Ex: 14.745786","Age: 59 ex_fr_female$Type: Predicted Year: 1834 Ex: 14.381427","Age: 59 ex_fr_female$Type: Predicted Year: 1835 Ex: 14.834821","Age: 59 ex_fr_female$Type: Predicted Year: 1836 Ex: 15.131873","Age: 59 ex_fr_female$Type: Predicted Year: 1837 Ex: 13.542814","Age: 59 ex_fr_female$Type: Predicted Year: 1838 Ex: 14.630847","Age: 59 ex_fr_female$Type: Predicted Year: 1839 Ex: 15.130566","Age: 59 ex_fr_female$Type: Predicted Year: 1840 Ex: 14.654681","Age: 59 ex_fr_female$Type: Predicted Year: 1841 Ex: 15.296256","Age: 59 ex_fr_female$Type: Predicted Year: 1842 Ex: 14.670314","Age: 59 ex_fr_female$Type: Predicted Year: 1843 Ex: 15.058580","Age: 59 ex_fr_female$Type: Predicted Year: 1844 Ex: 15.134482","Age: 59 ex_fr_female$Type: Predicted Year: 1845 Ex: 15.403194","Age: 59 ex_fr_female$Type: Predicted Year: 1846 Ex: 15.147316","Age: 59 ex_fr_female$Type: Predicted Year: 1847 Ex: 14.211226","Age: 59 ex_fr_female$Type: Predicted Year: 1848 Ex: 14.523820","Age: 59 ex_fr_female$Type: Predicted Year: 1849 Ex: 13.828364","Age: 59 ex_fr_female$Type: Predicted Year: 1850 Ex: 15.145488","Age: 59 ex_fr_female$Type: Predicted Year: 1851 Ex: 14.998238","Age: 59 ex_fr_female$Type: Predicted Year: 1852 Ex: 15.021066","Age: 59 ex_fr_female$Type: Predicted Year: 1853 Ex: 14.716833","Age: 59 ex_fr_female$Type: Predicted Year: 1854 Ex: 13.477304","Age: 59 ex_fr_female$Type: Predicted Year: 1855 Ex: 14.036320","Age: 59 ex_fr_female$Type: Predicted Year: 1856 Ex: 15.081372","Age: 59 ex_fr_female$Type: Predicted Year: 1857 Ex: 14.699080","Age: 59 ex_fr_female$Type: Predicted Year: 1858 Ex: 14.163712","Age: 59 ex_fr_female$Type: Predicted Year: 1859 Ex: 14.335790","Age: 59 ex_fr_female$Type: Predicted Year: 1860 Ex: 15.089833","Age: 59 ex_fr_female$Type: Predicted Year: 1861 Ex: 15.081523","Age: 59 ex_fr_female$Type: Predicted Year: 1862 Ex: 15.172108","Age: 59 ex_fr_female$Type: Predicted Year: 1863 Ex: 14.930362","Age: 59 ex_fr_female$Type: Predicted Year: 1864 Ex: 14.633561","Age: 59 ex_fr_female$Type: Predicted Year: 1865 Ex: 14.530976","Age: 59 ex_fr_female$Type: Predicted Year: 1866 Ex: 14.754299","Age: 59 ex_fr_female$Type: Predicted Year: 1867 Ex: 14.837428","Age: 59 ex_fr_female$Type: Predicted Year: 1868 Ex: 14.732768","Age: 59 ex_fr_female$Type: Predicted Year: 1869 Ex: 14.861943","Age: 59 ex_fr_female$Type: Predicted Year: 1870 Ex: 13.882725","Age: 59 ex_fr_female$Type: Predicted Year: 1871 Ex: 13.497821","Age: 59 ex_fr_female$Type: Predicted Year: 1872 Ex: 15.787975","Age: 59 ex_fr_female$Type: Predicted Year: 1873 Ex: 15.141349","Age: 59 ex_fr_female$Type: Predicted Year: 1874 Ex: 15.489529","Age: 59 ex_fr_female$Type: Predicted Year: 1875 Ex: 14.891070","Age: 59 ex_fr_female$Type: Predicted Year: 1876 Ex: 15.317923","Age: 59 ex_fr_female$Type: Predicted Year: 1877 Ex: 15.619678","Age: 59 ex_fr_female$Type: Predicted Year: 1878 Ex: 15.154742","Age: 59 ex_fr_female$Type: Predicted Year: 1879 Ex: 14.923621","Age: 59 ex_fr_female$Type: Predicted Year: 1880 Ex: 15.269214","Age: 59 ex_fr_female$Type: Predicted Year: 1881 Ex: 15.688566","Age: 59 ex_fr_female$Type: Predicted Year: 1882 Ex: 15.630779","Age: 59 ex_fr_female$Type: Predicted Year: 1883 Ex: 15.593765","Age: 59 ex_fr_female$Type: Predicted Year: 1884 Ex: 15.653525","Age: 59 ex_fr_female$Type: Predicted Year: 1885 Ex: 15.675373","Age: 59 ex_fr_female$Type: Predicted Year: 1886 Ex: 15.580535","Age: 59 ex_fr_female$Type: Predicted Year: 1887 Ex: 15.526740","Age: 59 ex_fr_female$Type: Predicted Year: 1888 Ex: 15.391742","Age: 59 ex_fr_female$Type: Predicted Year: 1889 Ex: 15.762238","Age: 59 ex_fr_female$Type: Predicted Year: 1890 Ex: 14.842357","Age: 59 ex_fr_female$Type: Predicted Year: 1891 Ex: 14.499185","Age: 59 ex_fr_female$Type: Predicted Year: 1892 Ex: 14.723664","Age: 59 ex_fr_female$Type: Predicted Year: 1893 Ex: 14.839424","Age: 59 ex_fr_female$Type: Predicted Year: 1894 Ex: 15.363949","Age: 59 ex_fr_female$Type: Predicted Year: 1895 Ex: 14.946271","Age: 59 ex_fr_female$Type: Predicted Year: 1896 Ex: 15.807472","Age: 59 ex_fr_female$Type: Predicted Year: 1897 Ex: 16.107252","Age: 59 ex_fr_female$Type: Predicted Year: 1898 Ex: 15.459340","Age: 59 ex_fr_female$Type: Predicted Year: 1899 Ex: 15.505467","Age: 59 ex_fr_female$Type: Predicted Year: 1900 Ex: 14.891473","Age: 59 ex_fr_female$Type: Predicted Year: 1901 Ex: 15.630459","Age: 59 ex_fr_female$Type: Predicted Year: 1902 Ex: 15.868928","Age: 59 ex_fr_female$Type: Predicted Year: 1903 Ex: 15.875510","Age: 59 ex_fr_female$Type: Predicted Year: 1904 Ex: 15.822450","Age: 59 ex_fr_female$Type: Predicted Year: 1905 Ex: 15.599897","Age: 59 ex_fr_female$Type: Predicted Year: 1906 Ex: 15.689085","Age: 59 ex_fr_female$Type: Predicted Year: 1907 Ex: 15.265782","Age: 59 ex_fr_female$Type: Predicted Year: 1908 Ex: 15.877167","Age: 59 ex_fr_female$Type: Predicted Year: 1909 Ex: 15.424826","Age: 59 ex_fr_female$Type: Predicted Year: 1910 Ex: 16.199898","Age: 59 ex_fr_female$Type: Predicted Year: 1911 Ex: 15.657897","Age: 59 ex_fr_female$Type: Predicted Year: 1912 Ex: 16.339202","Age: 59 ex_fr_female$Type: Predicted Year: 1913 Ex: 16.326207","Age: 59 ex_fr_female$Type: Predicted Year: 1914 Ex: 15.748847","Age: 59 ex_fr_female$Type: Predicted Year: 1915 Ex: 15.874367","Age: 59 ex_fr_female$Type: Predicted Year: 1916 Ex: 16.048358","Age: 59 ex_fr_female$Type: Predicted Year: 1917 Ex: 15.856578","Age: 59 ex_fr_female$Type: Predicted Year: 1918 Ex: 15.715487","Age: 59 ex_fr_female$Type: Predicted Year: 1919 Ex: 16.064876","Age: 59 ex_fr_female$Type: Predicted Year: 1920 Ex: 16.855127","Age: 59 ex_fr_female$Type: Predicted Year: 1921 Ex: 16.719476","Age: 59 ex_fr_female$Type: Predicted Year: 1922 Ex: 16.323678","Age: 59 ex_fr_female$Type: Predicted Year: 1923 Ex: 16.943179","Age: 59 ex_fr_female$Type: Predicted Year: 1924 Ex: 16.677434","Age: 59 ex_fr_female$Type: Predicted Year: 1925 Ex: 16.584513","Age: 59 ex_fr_female$Type: Predicted Year: 1926 Ex: 16.695319","Age: 59 ex_fr_female$Type: Predicted Year: 1927 Ex: 16.872505","Age: 59 ex_fr_female$Type: Predicted Year: 1928 Ex: 17.048911","Age: 59 ex_fr_female$Type: Predicted Year: 1929 Ex: 16.199977","Age: 59 ex_fr_female$Type: Predicted Year: 1930 Ex: 17.519453","Age: 59 ex_fr_female$Type: Predicted Year: 1931 Ex: 16.926654","Age: 59 ex_fr_female$Type: Predicted Year: 1932 Ex: 17.219687","Age: 59 ex_fr_female$Type: Predicted Year: 1933 Ex: 17.188314","Age: 59 ex_fr_female$Type: Predicted Year: 1934 Ex: 17.659716","Age: 59 ex_fr_female$Type: Predicted Year: 1935 Ex: 17.296429","Age: 59 ex_fr_female$Type: Predicted Year: 1936 Ex: 17.522375","Age: 59 ex_fr_female$Type: Predicted Year: 1937 Ex: 17.796785","Age: 59 ex_fr_female$Type: Predicted Year: 1938 Ex: 17.563187","Age: 59 ex_fr_female$Type: Predicted Year: 1939 Ex: 17.485821","Age: 59 ex_fr_female$Type: Predicted Year: 1940 Ex: 16.184559","Age: 59 ex_fr_female$Type: Predicted Year: 1941 Ex: 17.239552","Age: 59 ex_fr_female$Type: Predicted Year: 1942 Ex: 17.350935","Age: 59 ex_fr_female$Type: Predicted Year: 1943 Ex: 17.612847","Age: 59 ex_fr_female$Type: Predicted Year: 1944 Ex: 16.748627","Age: 59 ex_fr_female$Type: Predicted Year: 1945 Ex: 17.741892","Age: 59 ex_fr_female$Type: Predicted Year: 1946 Ex: 18.983610","Age: 59 ex_fr_female$Type: Predicted Year: 1947 Ex: 19.229926","Age: 59 ex_fr_female$Type: Predicted Year: 1948 Ex: 19.757901","Age: 59 ex_fr_female$Type: Predicted Year: 1949 Ex: 18.708749","Age: 59 ex_fr_female$Type: Predicted Year: 1950 Ex: 19.408176","Age: 59 ex_fr_female$Type: Predicted Year: 1951 Ex: 18.960004","Age: 59 ex_fr_female$Type: Predicted Year: 1952 Ex: 19.657206","Age: 59 ex_fr_female$Type: Predicted Year: 1953 Ex: 19.162795","Age: 59 ex_fr_female$Type: Predicted Year: 1954 Ex: 19.934508","Age: 59 ex_fr_female$Type: Predicted Year: 1955 Ex: 19.939280","Age: 59 ex_fr_female$Type: Predicted Year: 1956 Ex: 19.741579","Age: 59 ex_fr_female$Type: Predicted Year: 1957 Ex: 20.104760","Age: 59 ex_fr_female$Type: Predicted Year: 1958 Ex: 20.607279","Age: 59 ex_fr_female$Type: Predicted Year: 1959 Ex: 20.662989","Age: 59 ex_fr_female$Type: Predicted Year: 1960 Ex: 20.613870","Age: 59 ex_fr_female$Type: Predicted Year: 1961 Ex: 21.172718","Age: 59 ex_fr_female$Type: Predicted Year: 1962 Ex: 20.681531","Age: 59 ex_fr_female$Type: Predicted Year: 1963 Ex: 20.618788","Age: 59 ex_fr_female$Type: Predicted Year: 1964 Ex: 21.384894","Age: 59 ex_fr_female$Type: Predicted Year: 1965 Ex: 21.186271","Age: 59 ex_fr_female$Type: Predicted Year: 1966 Ex: 21.564608","Age: 59 ex_fr_female$Type: Predicted Year: 1967 Ex: 21.522808","Age: 59 ex_fr_female$Type: Predicted Year: 1968 Ex: 21.504787","Age: 59 ex_fr_female$Type: Predicted Year: 1969 Ex: 21.315733","Age: 59 ex_fr_female$Type: Predicted Year: 1970 Ex: 21.894371","Age: 59 ex_fr_female$Type: Predicted Year: 1971 Ex: 21.915563","Age: 59 ex_fr_female$Type: Predicted Year: 1972 Ex: 22.151980","Age: 59 ex_fr_female$Type: Predicted Year: 1973 Ex: 22.117219","Age: 59 ex_fr_female$Type: Predicted Year: 1974 Ex: 22.402957","Age: 59 ex_fr_female$Type: Predicted Year: 1975 Ex: 22.416675","Age: 59 ex_fr_female$Type: Predicted Year: 1976 Ex: 22.645326","Age: 59 ex_fr_female$Type: Predicted Year: 1977 Ex: 23.158734","Age: 59 ex_fr_female$Type: Predicted Year: 1978 Ex: 23.142731","Age: 59 ex_fr_female$Type: Predicted Year: 1979 Ex: 23.400919","Age: 59 ex_fr_female$Type: Predicted Year: 1980 Ex: 23.506939","Age: 59 ex_fr_female$Type: Predicted Year: 1981 Ex: 23.479532","Age: 59 ex_fr_female$Type: Predicted Year: 1982 Ex: 23.818799","Age: 59 ex_fr_female$Type: Predicted Year: 1983 Ex: 23.703116","Age: 59 ex_fr_female$Type: Predicted Year: 1984 Ex: 24.136952","Age: 59 ex_fr_female$Type: Predicted Year: 1985 Ex: 24.129034","Age: 59 ex_fr_female$Type: Predicted Year: 1986 Ex: 24.342681","Age: 59 ex_fr_female$Type: Predicted Year: 1987 Ex: 24.826884","Age: 59 ex_fr_female$Type: Predicted Year: 1988 Ex: 25.023131","Age: 59 ex_fr_female$Type: Predicted Year: 1989 Ex: 25.154241","Age: 59 ex_fr_female$Type: Predicted Year: 1990 Ex: 25.355150","Age: 59 ex_fr_female$Type: Predicted Year: 1991 Ex: 25.565958","Age: 59 ex_fr_female$Type: Predicted Year: 1992 Ex: 25.794045","Age: 59 ex_fr_female$Type: Predicted Year: 1993 Ex: 25.786422","Age: 59 ex_fr_female$Type: Predicted Year: 1994 Ex: 26.146053","Age: 59 ex_fr_female$Type: Predicted Year: 1995 Ex: 26.098849","Age: 59 ex_fr_female$Type: Predicted Year: 1996 Ex: 26.167158","Age: 59 ex_fr_female$Type: Predicted Year: 1997 Ex: 26.348121","Age: 59 ex_fr_female$Type: Predicted Year: 1998 Ex: 26.419146","Age: 59 ex_fr_female$Type: Predicted Year: 1999 Ex: 26.484584","Age: 59 ex_fr_female$Type: Predicted Year: 2000 Ex: 26.732437","Age: 59 ex_fr_female$Type: Predicted Year: 2001 Ex: 26.884516","Age: 59 ex_fr_female$Type: Predicted Year: 2002 Ex: 26.933560","Age: 59 ex_fr_female$Type: Predicted Year: 2003 Ex: 26.773554","Age: 59 ex_fr_female$Type: Predicted Year: 2004 Ex: 27.634960","Age: 59 ex_fr_female$Type: Predicted Year: 2005 Ex: 27.515728","Age: 59 ex_fr_female$Type: Predicted Year: 2006 Ex: 27.867888","Age: 59 ex_fr_female$Type: Predicted Year: 2007 Ex: 27.990142","Age: 59 ex_fr_female$Type: Predicted Year: 2008 Ex: 27.971398","Age: 59 ex_fr_female$Type: Predicted Year: 2009 Ex: 28.076670","Age: 59 ex_fr_female$Type: Predicted Year: 2010 Ex: 28.226557","Age: 59 ex_fr_female$Type: Predicted Year: 2011 Ex: 28.518770","Age: 59 ex_fr_female$Type: Predicted Year: 2012 Ex: 28.324594","Age: 59 ex_fr_female$Type: Predicted Year: 2013 Ex: 28.498371","Age: 59 ex_fr_female$Type: Predicted Year: 2014 Ex: 28.841874","Age: 59 ex_fr_female$Type: Predicted Year: 2015 Ex: 28.546752","Age: 59 ex_fr_female$Type: Predicted Year: 2016 Ex: 28.689228","Age: 59 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1926 Ex: 15.710000","Age: 60 ex_fr_female$Type: Observed Year: 1927 Ex: 15.880000","Age: 60 ex_fr_female$Type: Observed Year: 1928 Ex: 16.060000","Age: 60 ex_fr_female$Type: Observed Year: 1929 Ex: 15.210000","Age: 60 ex_fr_female$Type: Observed Year: 1930 Ex: 16.510000","Age: 60 ex_fr_female$Type: Observed Year: 1931 Ex: 15.930000","Age: 60 ex_fr_female$Type: Observed Year: 1932 Ex: 16.220000","Age: 60 ex_fr_female$Type: Observed Year: 1933 Ex: 16.200000","Age: 60 ex_fr_female$Type: Observed Year: 1934 Ex: 16.670000","Age: 60 ex_fr_female$Type: Observed Year: 1935 Ex: 16.310000","Age: 60 ex_fr_female$Type: Observed Year: 1936 Ex: 16.520000","Age: 60 ex_fr_female$Type: Observed Year: 1937 Ex: 16.800000","Age: 60 ex_fr_female$Type: Observed Year: 1938 Ex: 16.560000","Age: 60 ex_fr_female$Type: Observed Year: 1939 Ex: 16.470000","Age: 60 ex_fr_female$Type: Observed Year: 1940 Ex: 15.190000","Age: 60 ex_fr_female$Type: Observed Year: 1941 Ex: 16.240000","Age: 60 ex_fr_female$Type: Observed Year: 1942 Ex: 16.340000","Age: 60 ex_fr_female$Type: Observed Year: 1943 Ex: 16.600000","Age: 60 ex_fr_female$Type: Observed Year: 1944 Ex: 15.760000","Age: 60 ex_fr_female$Type: Observed Year: 1945 Ex: 16.720000","Age: 60 ex_fr_female$Type: Observed Year: 1946 Ex: 17.930000","Age: 60 ex_fr_female$Type: Observed Year: 1947 Ex: 18.170000","Age: 60 ex_fr_female$Type: Observed Year: 1948 Ex: 18.700000","Age: 60 ex_fr_female$Type: Observed Year: 1949 Ex: 17.650000","Age: 60 ex_fr_female$Type: Observed Year: 1950 Ex: 18.350000","Age: 60 ex_fr_female$Type: Observed Year: 1951 Ex: 17.900000","Age: 60 ex_fr_female$Type: Observed Year: 1952 Ex: 18.600000","Age: 60 ex_fr_female$Type: Observed Year: 1953 Ex: 18.100000","Age: 60 ex_fr_female$Type: Observed Year: 1954 Ex: 18.870000","Age: 60 ex_fr_female$Type: Observed Year: 1955 Ex: 18.870000","Age: 60 ex_fr_female$Type: Observed Year: 1956 Ex: 18.670000","Age: 60 ex_fr_female$Type: Observed Year: 1957 Ex: 19.030000","Age: 60 ex_fr_female$Type: Observed Year: 1958 Ex: 19.520000","Age: 60 ex_fr_female$Type: Observed Year: 1959 Ex: 19.580000","Age: 60 ex_fr_female$Type: Observed Year: 1960 Ex: 19.530000","Age: 60 ex_fr_female$Type: Observed Year: 1961 Ex: 20.090000","Age: 60 ex_fr_female$Type: Observed Year: 1962 Ex: 19.590000","Age: 60 ex_fr_female$Type: Observed Year: 1963 Ex: 19.530000","Age: 60 ex_fr_female$Type: Observed Year: 1964 Ex: 20.290000","Age: 60 ex_fr_female$Type: Observed Year: 1965 Ex: 20.100000","Age: 60 ex_fr_female$Type: Observed Year: 1966 Ex: 20.470000","Age: 60 ex_fr_female$Type: Observed Year: 1967 Ex: 20.430000","Age: 60 ex_fr_female$Type: Observed Year: 1968 Ex: 20.400000","Age: 60 ex_fr_female$Type: Observed Year: 1969 Ex: 20.220000","Age: 60 ex_fr_female$Type: Observed Year: 1970 Ex: 20.790000","Age: 60 ex_fr_female$Type: Observed Year: 1971 Ex: 20.800000","Age: 60 ex_fr_female$Type: Observed Year: 1972 Ex: 21.040000","Age: 60 ex_fr_female$Type: Observed Year: 1973 Ex: 21.000000","Age: 60 ex_fr_female$Type: Observed Year: 1974 Ex: 21.290000","Age: 60 ex_fr_female$Type: Observed Year: 1975 Ex: 21.320000","Age: 60 ex_fr_female$Type: Observed Year: 1976 Ex: 21.530000","Age: 60 ex_fr_female$Type: Observed Year: 1977 Ex: 22.040000","Age: 60 ex_fr_female$Type: Observed Year: 1978 Ex: 22.040000","Age: 60 ex_fr_female$Type: Observed Year: 1979 Ex: 22.290000","Age: 60 ex_fr_female$Type: Observed Year: 1980 Ex: 22.390000","Age: 60 ex_fr_female$Type: Observed Year: 1981 Ex: 22.360000","Age: 60 ex_fr_female$Type: Observed Year: 1982 Ex: 22.690000","Age: 60 ex_fr_female$Type: Observed Year: 1983 Ex: 22.580000","Age: 60 ex_fr_female$Type: Observed Year: 1984 Ex: 23.000000","Age: 60 ex_fr_female$Type: Observed Year: 1985 Ex: 23.010000","Age: 60 ex_fr_female$Type: Observed Year: 1986 Ex: 23.210000","Age: 60 ex_fr_female$Type: Observed Year: 1987 Ex: 23.690000","Age: 60 ex_fr_female$Type: Observed Year: 1988 Ex: 23.890000","Age: 60 ex_fr_female$Type: Observed Year: 1989 Ex: 24.020000","Age: 60 ex_fr_female$Type: Observed Year: 1990 Ex: 24.220000","Age: 60 ex_fr_female$Type: Observed Year: 1991 Ex: 24.430000","Age: 60 ex_fr_female$Type: Observed Year: 1992 Ex: 24.650000","Age: 60 ex_fr_female$Type: Observed Year: 1993 Ex: 24.640000","Age: 60 ex_fr_female$Type: Observed Year: 1994 Ex: 25.000000","Age: 60 ex_fr_female$Type: Observed Year: 1995 Ex: 24.950000","Age: 60 ex_fr_female$Type: Observed Year: 1996 Ex: 25.030000","Age: 60 ex_fr_female$Type: Observed Year: 1997 Ex: 25.200000","Age: 60 ex_fr_female$Type: Observed Year: 1998 Ex: 25.270000","Age: 60 ex_fr_female$Type: Observed Year: 1999 Ex: 25.330000","Age: 60 ex_fr_female$Type: Observed Year: 2000 Ex: 25.580000","Age: 60 ex_fr_female$Type: Observed Year: 2001 Ex: 25.740000","Age: 60 ex_fr_female$Type: Observed Year: 2002 Ex: 25.780000","Age: 60 ex_fr_female$Type: Observed Year: 2003 Ex: 25.630000","Age: 60 ex_fr_female$Type: Observed Year: 2004 Ex: 26.490000","Age: 60 ex_fr_female$Type: Observed Year: 2005 Ex: 26.370000","Age: 60 ex_fr_female$Type: Observed Year: 2006 Ex: 26.720000","Age: 60 ex_fr_female$Type: Observed Year: 2007 Ex: 26.840000","Age: 60 ex_fr_female$Type: Observed Year: 2008 Ex: 26.820000","Age: 60 ex_fr_female$Type: Observed Year: 2009 Ex: 26.930000","Age: 60 ex_fr_female$Type: Observed Year: 2010 Ex: 27.080000","Age: 60 ex_fr_female$Type: Observed Year: 2011 Ex: 27.370000","Age: 60 ex_fr_female$Type: Observed Year: 2012 Ex: 27.180000","Age: 60 ex_fr_female$Type: Observed Year: 2013 Ex: 27.350000","Age: 60 ex_fr_female$Type: Observed Year: 2014 Ex: 27.700000","Age: 60 ex_fr_female$Type: Observed Year: 2015 Ex: 27.400000","Age: 60 ex_fr_female$Type: Observed Year: 2016 Ex: 27.550000","Age: 60 ex_fr_female$Type: Observed Year: 2017 Ex: 27.510000"],"frame":"60","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[13.7549313822517,13.8794158071733,13.9552217263131,14.1103744776452,13.6124730719352,14.5556416789997,14.5037481347731,14.5977858035848,14.806302186365,14.5173794713407,13.9965738498139,14.2993028843935,14.0105015179439,13.7421842881078,13.7998809481805,14.0895075889262,12.6160198223327,14.1460827791075,13.7894829907881,14.2355557091977,14.5165617050094,12.9477218366471,14.0152779402779,14.5146195947402,14.0400509187713,14.6662933028323,14.0507243220068,14.424912633774,14.5096281330511,14.7641461924588,14.5101758244105,13.5991814859826,13.9132661168664,13.2669011820194,14.528430297775,14.3806040533351,14.4006052646168,14.0785021382744,12.8959796261892,13.4331163257679,14.46323621078,14.0906197258353,13.5524305830907,13.7204410815513,14.4569512896795,14.4599494528821,14.5358821683772,14.2977590414412,13.9955759468292,13.8971302563129,14.1145830495739,14.192904847806,14.0941131516036,14.2215603649549,13.2770850337872,12.9463135579604,15.1660783768414,14.5153197567591,14.8493483225149,14.2626336400897,14.6748371493233,14.9722495690254,14.5152324566256,14.2859660069499,14.6258627500173,15.0428998164097,14.992593768446,14.9499039067098,15.0151084209721,15.033593342613,14.9436200234294,14.894225239754,14.7376274351571,15.0989330156205,14.2045719758619,13.8534512234976,14.0802561865178,14.1855470025015,14.7018886964126,14.2713164916354,15.1307764533903,15.4075881613532,14.7830853966141,14.8257645319068,14.2250022714768,14.9355075897359,15.198553783001,15.1942863720691,15.1287113295269,14.9148091901256,15.0070970526212,14.5966581286789,15.2027287270604,14.7615547298956,15.5093803372477,14.9724708255746,15.6684006598235,15.6501276337507,15.048505327291,15.1943755292233,15.3710352870717,15.1793515207059,15.0738753293624,15.3832885203835,16.1465315661354,16.0319246481874,15.6330189881679,16.2616127354129,15.9895673313953,15.8796120592515,15.9990492168824,16.1682196549569,16.3503395779595,15.505138636273,16.8010529269037,16.2171591133163,16.5138435263218,16.4856550881437,16.9574233915767,16.5946710572351,16.8140627472781,17.0835013202171,16.8489798963918,16.7606492723357,15.477113187815,16.5253722296633,16.6220396934021,16.8831229942625,16.0442549135704,17.0079013573302,18.214985353116,18.4524400529008,18.9888317460715,17.9289419727476,18.6354870458133,18.184169270496,18.877625732079,18.3803577295336,19.1535970112663,19.1495779032101,18.9512941290355,19.3041695055837,19.7947439471862,19.8540272005771,19.8119565496667,20.362325044165,19.8682626344855,19.8049395333238,20.5697042099484,20.3718275077477,20.7493081605625,20.7050214035651,20.67837086595,20.4993007999305,21.0597439738816,21.0780788628588,21.3127998987592,21.274732274206,21.5660816972446,21.5916075562749,21.8042333074412,22.3110581284114,22.3095410808494,22.5590209044411,22.6592877422675,22.6275356931694,22.9605405073334,22.8523259112453,23.270879292947,23.2762272782968,23.4813706584777,23.9639859708367,24.1544355948153,24.2869903081293,24.4887311996665,24.6989090412583,24.9190528318949,24.9103751714775,25.269450214952,25.2186752115449,25.2906565832165,25.4644399964649,25.5394304043482,25.5999512231239,25.8467963562191,26.0032491238468,26.0458765691674,25.8917881500618,26.7562528421726,26.6310606130223,26.9792279116815,27.1061199786705,27.0820552989453,27.1927359096075,27.3435316571575,27.6344451498572,27.4375119830712,27.6139623024048,27.95916860143,27.6642330574513,27.8078716728071,27.7648264017407],"text":["Age: 60 ex_fr_female$Type: Predicted Year: 1816 Ex: 13.754931","Age: 60 ex_fr_female$Type: Predicted Year: 1817 Ex: 13.879416","Age: 60 ex_fr_female$Type: Predicted Year: 1818 Ex: 13.955222","Age: 60 ex_fr_female$Type: Predicted Year: 1819 Ex: 14.110374","Age: 60 ex_fr_female$Type: Predicted Year: 1820 Ex: 13.612473","Age: 60 ex_fr_female$Type: Predicted Year: 1821 Ex: 14.555642","Age: 60 ex_fr_female$Type: Predicted Year: 1822 Ex: 14.503748","Age: 60 ex_fr_female$Type: Predicted Year: 1823 Ex: 14.597786","Age: 60 ex_fr_female$Type: Predicted Year: 1824 Ex: 14.806302","Age: 60 ex_fr_female$Type: Predicted Year: 1825 Ex: 14.517379","Age: 60 ex_fr_female$Type: Predicted Year: 1826 Ex: 13.996574","Age: 60 ex_fr_female$Type: Predicted Year: 1827 Ex: 14.299303","Age: 60 ex_fr_female$Type: Predicted Year: 1828 Ex: 14.010502","Age: 60 ex_fr_female$Type: Predicted Year: 1829 Ex: 13.742184","Age: 60 ex_fr_female$Type: Predicted Year: 1830 Ex: 13.799881","Age: 60 ex_fr_female$Type: Predicted Year: 1831 Ex: 14.089508","Age: 60 ex_fr_female$Type: Predicted Year: 1832 Ex: 12.616020","Age: 60 ex_fr_female$Type: Predicted Year: 1833 Ex: 14.146083","Age: 60 ex_fr_female$Type: Predicted Year: 1834 Ex: 13.789483","Age: 60 ex_fr_female$Type: Predicted Year: 1835 Ex: 14.235556","Age: 60 ex_fr_female$Type: Predicted Year: 1836 Ex: 14.516562","Age: 60 ex_fr_female$Type: Predicted Year: 1837 Ex: 12.947722","Age: 60 ex_fr_female$Type: Predicted Year: 1838 Ex: 14.015278","Age: 60 ex_fr_female$Type: Predicted Year: 1839 Ex: 14.514620","Age: 60 ex_fr_female$Type: Predicted Year: 1840 Ex: 14.040051","Age: 60 ex_fr_female$Type: Predicted Year: 1841 Ex: 14.666293","Age: 60 ex_fr_female$Type: Predicted Year: 1842 Ex: 14.050724","Age: 60 ex_fr_female$Type: Predicted Year: 1843 Ex: 14.424913","Age: 60 ex_fr_female$Type: Predicted Year: 1844 Ex: 14.509628","Age: 60 ex_fr_female$Type: Predicted Year: 1845 Ex: 14.764146","Age: 60 ex_fr_female$Type: Predicted Year: 1846 Ex: 14.510176","Age: 60 ex_fr_female$Type: Predicted Year: 1847 Ex: 13.599181","Age: 60 ex_fr_female$Type: Predicted Year: 1848 Ex: 13.913266","Age: 60 ex_fr_female$Type: Predicted Year: 1849 Ex: 13.266901","Age: 60 ex_fr_female$Type: Predicted Year: 1850 Ex: 14.528430","Age: 60 ex_fr_female$Type: Predicted Year: 1851 Ex: 14.380604","Age: 60 ex_fr_female$Type: Predicted Year: 1852 Ex: 14.400605","Age: 60 ex_fr_female$Type: Predicted Year: 1853 Ex: 14.078502","Age: 60 ex_fr_female$Type: Predicted Year: 1854 Ex: 12.895980","Age: 60 ex_fr_female$Type: Predicted Year: 1855 Ex: 13.433116","Age: 60 ex_fr_female$Type: Predicted Year: 1856 Ex: 14.463236","Age: 60 ex_fr_female$Type: Predicted Year: 1857 Ex: 14.090620","Age: 60 ex_fr_female$Type: Predicted Year: 1858 Ex: 13.552431","Age: 60 ex_fr_female$Type: Predicted Year: 1859 Ex: 13.720441","Age: 60 ex_fr_female$Type: Predicted Year: 1860 Ex: 14.456951","Age: 60 ex_fr_female$Type: Predicted Year: 1861 Ex: 14.459949","Age: 60 ex_fr_female$Type: Predicted Year: 1862 Ex: 14.535882","Age: 60 ex_fr_female$Type: Predicted Year: 1863 Ex: 14.297759","Age: 60 ex_fr_female$Type: Predicted Year: 1864 Ex: 13.995576","Age: 60 ex_fr_female$Type: Predicted Year: 1865 Ex: 13.897130","Age: 60 ex_fr_female$Type: Predicted Year: 1866 Ex: 14.114583","Age: 60 ex_fr_female$Type: Predicted Year: 1867 Ex: 14.192905","Age: 60 ex_fr_female$Type: Predicted Year: 1868 Ex: 14.094113","Age: 60 ex_fr_female$Type: Predicted Year: 1869 Ex: 14.221560","Age: 60 ex_fr_female$Type: Predicted Year: 1870 Ex: 13.277085","Age: 60 ex_fr_female$Type: Predicted Year: 1871 Ex: 12.946314","Age: 60 ex_fr_female$Type: Predicted Year: 1872 Ex: 15.166078","Age: 60 ex_fr_female$Type: Predicted Year: 1873 Ex: 14.515320","Age: 60 ex_fr_female$Type: Predicted Year: 1874 Ex: 14.849348","Age: 60 ex_fr_female$Type: Predicted Year: 1875 Ex: 14.262634","Age: 60 ex_fr_female$Type: Predicted Year: 1876 Ex: 14.674837","Age: 60 ex_fr_female$Type: Predicted Year: 1877 Ex: 14.972250","Age: 60 ex_fr_female$Type: Predicted Year: 1878 Ex: 14.515232","Age: 60 ex_fr_female$Type: Predicted Year: 1879 Ex: 14.285966","Age: 60 ex_fr_female$Type: Predicted Year: 1880 Ex: 14.625863","Age: 60 ex_fr_female$Type: Predicted Year: 1881 Ex: 15.042900","Age: 60 ex_fr_female$Type: Predicted Year: 1882 Ex: 14.992594","Age: 60 ex_fr_female$Type: Predicted Year: 1883 Ex: 14.949904","Age: 60 ex_fr_female$Type: Predicted Year: 1884 Ex: 15.015108","Age: 60 ex_fr_female$Type: Predicted Year: 1885 Ex: 15.033593","Age: 60 ex_fr_female$Type: Predicted Year: 1886 Ex: 14.943620","Age: 60 ex_fr_female$Type: Predicted Year: 1887 Ex: 14.894225","Age: 60 ex_fr_female$Type: Predicted Year: 1888 Ex: 14.737627","Age: 60 ex_fr_female$Type: Predicted Year: 1889 Ex: 15.098933","Age: 60 ex_fr_female$Type: Predicted Year: 1890 Ex: 14.204572","Age: 60 ex_fr_female$Type: Predicted Year: 1891 Ex: 13.853451","Age: 60 ex_fr_female$Type: Predicted Year: 1892 Ex: 14.080256","Age: 60 ex_fr_female$Type: Predicted Year: 1893 Ex: 14.185547","Age: 60 ex_fr_female$Type: Predicted Year: 1894 Ex: 14.701889","Age: 60 ex_fr_female$Type: Predicted Year: 1895 Ex: 14.271316","Age: 60 ex_fr_female$Type: Predicted Year: 1896 Ex: 15.130776","Age: 60 ex_fr_female$Type: Predicted Year: 1897 Ex: 15.407588","Age: 60 ex_fr_female$Type: Predicted Year: 1898 Ex: 14.783085","Age: 60 ex_fr_female$Type: Predicted Year: 1899 Ex: 14.825765","Age: 60 ex_fr_female$Type: Predicted Year: 1900 Ex: 14.225002","Age: 60 ex_fr_female$Type: Predicted Year: 1901 Ex: 14.935508","Age: 60 ex_fr_female$Type: Predicted Year: 1902 Ex: 15.198554","Age: 60 ex_fr_female$Type: Predicted Year: 1903 Ex: 15.194286","Age: 60 ex_fr_female$Type: Predicted Year: 1904 Ex: 15.128711","Age: 60 ex_fr_female$Type: Predicted Year: 1905 Ex: 14.914809","Age: 60 ex_fr_female$Type: Predicted Year: 1906 Ex: 15.007097","Age: 60 ex_fr_female$Type: Predicted Year: 1907 Ex: 14.596658","Age: 60 ex_fr_female$Type: Predicted Year: 1908 Ex: 15.202729","Age: 60 ex_fr_female$Type: Predicted Year: 1909 Ex: 14.761555","Age: 60 ex_fr_female$Type: Predicted Year: 1910 Ex: 15.509380","Age: 60 ex_fr_female$Type: Predicted Year: 1911 Ex: 14.972471","Age: 60 ex_fr_female$Type: Predicted Year: 1912 Ex: 15.668401","Age: 60 ex_fr_female$Type: Predicted Year: 1913 Ex: 15.650128","Age: 60 ex_fr_female$Type: Predicted Year: 1914 Ex: 15.048505","Age: 60 ex_fr_female$Type: Predicted Year: 1915 Ex: 15.194376","Age: 60 ex_fr_female$Type: Predicted Year: 1916 Ex: 15.371035","Age: 60 ex_fr_female$Type: Predicted Year: 1917 Ex: 15.179352","Age: 60 ex_fr_female$Type: Predicted Year: 1918 Ex: 15.073875","Age: 60 ex_fr_female$Type: Predicted Year: 1919 Ex: 15.383289","Age: 60 ex_fr_female$Type: Predicted Year: 1920 Ex: 16.146532","Age: 60 ex_fr_female$Type: Predicted Year: 1921 Ex: 16.031925","Age: 60 ex_fr_female$Type: Predicted Year: 1922 Ex: 15.633019","Age: 60 ex_fr_female$Type: Predicted Year: 1923 Ex: 16.261613","Age: 60 ex_fr_female$Type: Predicted Year: 1924 Ex: 15.989567","Age: 60 ex_fr_female$Type: Predicted Year: 1925 Ex: 15.879612","Age: 60 ex_fr_female$Type: Predicted Year: 1926 Ex: 15.999049","Age: 60 ex_fr_female$Type: Predicted Year: 1927 Ex: 16.168220","Age: 60 ex_fr_female$Type: Predicted Year: 1928 Ex: 16.350340","Age: 60 ex_fr_female$Type: Predicted Year: 1929 Ex: 15.505139","Age: 60 ex_fr_female$Type: Predicted Year: 1930 Ex: 16.801053","Age: 60 ex_fr_female$Type: Predicted Year: 1931 Ex: 16.217159","Age: 60 ex_fr_female$Type: Predicted Year: 1932 Ex: 16.513844","Age: 60 ex_fr_female$Type: Predicted Year: 1933 Ex: 16.485655","Age: 60 ex_fr_female$Type: Predicted Year: 1934 Ex: 16.957423","Age: 60 ex_fr_female$Type: Predicted Year: 1935 Ex: 16.594671","Age: 60 ex_fr_female$Type: Predicted Year: 1936 Ex: 16.814063","Age: 60 ex_fr_female$Type: Predicted Year: 1937 Ex: 17.083501","Age: 60 ex_fr_female$Type: Predicted Year: 1938 Ex: 16.848980","Age: 60 ex_fr_female$Type: Predicted Year: 1939 Ex: 16.760649","Age: 60 ex_fr_female$Type: Predicted Year: 1940 Ex: 15.477113","Age: 60 ex_fr_female$Type: Predicted Year: 1941 Ex: 16.525372","Age: 60 ex_fr_female$Type: Predicted Year: 1942 Ex: 16.622040","Age: 60 ex_fr_female$Type: Predicted Year: 1943 Ex: 16.883123","Age: 60 ex_fr_female$Type: Predicted Year: 1944 Ex: 16.044255","Age: 60 ex_fr_female$Type: Predicted Year: 1945 Ex: 17.007901","Age: 60 ex_fr_female$Type: Predicted Year: 1946 Ex: 18.214985","Age: 60 ex_fr_female$Type: Predicted Year: 1947 Ex: 18.452440","Age: 60 ex_fr_female$Type: Predicted Year: 1948 Ex: 18.988832","Age: 60 ex_fr_female$Type: Predicted Year: 1949 Ex: 17.928942","Age: 60 ex_fr_female$Type: Predicted Year: 1950 Ex: 18.635487","Age: 60 ex_fr_female$Type: Predicted Year: 1951 Ex: 18.184169","Age: 60 ex_fr_female$Type: Predicted Year: 1952 Ex: 18.877626","Age: 60 ex_fr_female$Type: Predicted Year: 1953 Ex: 18.380358","Age: 60 ex_fr_female$Type: Predicted Year: 1954 Ex: 19.153597","Age: 60 ex_fr_female$Type: Predicted Year: 1955 Ex: 19.149578","Age: 60 ex_fr_female$Type: Predicted Year: 1956 Ex: 18.951294","Age: 60 ex_fr_female$Type: Predicted Year: 1957 Ex: 19.304170","Age: 60 ex_fr_female$Type: Predicted Year: 1958 Ex: 19.794744","Age: 60 ex_fr_female$Type: Predicted Year: 1959 Ex: 19.854027","Age: 60 ex_fr_female$Type: Predicted Year: 1960 Ex: 19.811957","Age: 60 ex_fr_female$Type: Predicted Year: 1961 Ex: 20.362325","Age: 60 ex_fr_female$Type: Predicted Year: 1962 Ex: 19.868263","Age: 60 ex_fr_female$Type: Predicted Year: 1963 Ex: 19.804940","Age: 60 ex_fr_female$Type: Predicted Year: 1964 Ex: 20.569704","Age: 60 ex_fr_female$Type: Predicted Year: 1965 Ex: 20.371828","Age: 60 ex_fr_female$Type: Predicted Year: 1966 Ex: 20.749308","Age: 60 ex_fr_female$Type: Predicted Year: 1967 Ex: 20.705021","Age: 60 ex_fr_female$Type: Predicted Year: 1968 Ex: 20.678371","Age: 60 ex_fr_female$Type: Predicted Year: 1969 Ex: 20.499301","Age: 60 ex_fr_female$Type: Predicted Year: 1970 Ex: 21.059744","Age: 60 ex_fr_female$Type: Predicted Year: 1971 Ex: 21.078079","Age: 60 ex_fr_female$Type: Predicted Year: 1972 Ex: 21.312800","Age: 60 ex_fr_female$Type: Predicted Year: 1973 Ex: 21.274732","Age: 60 ex_fr_female$Type: Predicted Year: 1974 Ex: 21.566082","Age: 60 ex_fr_female$Type: Predicted Year: 1975 Ex: 21.591608","Age: 60 ex_fr_female$Type: Predicted Year: 1976 Ex: 21.804233","Age: 60 ex_fr_female$Type: Predicted Year: 1977 Ex: 22.311058","Age: 60 ex_fr_female$Type: Predicted Year: 1978 Ex: 22.309541","Age: 60 ex_fr_female$Type: Predicted Year: 1979 Ex: 22.559021","Age: 60 ex_fr_female$Type: Predicted Year: 1980 Ex: 22.659288","Age: 60 ex_fr_female$Type: Predicted Year: 1981 Ex: 22.627536","Age: 60 ex_fr_female$Type: Predicted Year: 1982 Ex: 22.960541","Age: 60 ex_fr_female$Type: Predicted Year: 1983 Ex: 22.852326","Age: 60 ex_fr_female$Type: Predicted Year: 1984 Ex: 23.270879","Age: 60 ex_fr_female$Type: Predicted Year: 1985 Ex: 23.276227","Age: 60 ex_fr_female$Type: Predicted Year: 1986 Ex: 23.481371","Age: 60 ex_fr_female$Type: Predicted Year: 1987 Ex: 23.963986","Age: 60 ex_fr_female$Type: Predicted Year: 1988 Ex: 24.154436","Age: 60 ex_fr_female$Type: Predicted Year: 1989 Ex: 24.286990","Age: 60 ex_fr_female$Type: Predicted Year: 1990 Ex: 24.488731","Age: 60 ex_fr_female$Type: Predicted Year: 1991 Ex: 24.698909","Age: 60 ex_fr_female$Type: Predicted Year: 1992 Ex: 24.919053","Age: 60 ex_fr_female$Type: Predicted Year: 1993 Ex: 24.910375","Age: 60 ex_fr_female$Type: Predicted Year: 1994 Ex: 25.269450","Age: 60 ex_fr_female$Type: Predicted Year: 1995 Ex: 25.218675","Age: 60 ex_fr_female$Type: Predicted Year: 1996 Ex: 25.290657","Age: 60 ex_fr_female$Type: Predicted Year: 1997 Ex: 25.464440","Age: 60 ex_fr_female$Type: Predicted Year: 1998 Ex: 25.539430","Age: 60 ex_fr_female$Type: Predicted Year: 1999 Ex: 25.599951","Age: 60 ex_fr_female$Type: Predicted Year: 2000 Ex: 25.846796","Age: 60 ex_fr_female$Type: Predicted Year: 2001 Ex: 26.003249","Age: 60 ex_fr_female$Type: Predicted Year: 2002 Ex: 26.045877","Age: 60 ex_fr_female$Type: Predicted Year: 2003 Ex: 25.891788","Age: 60 ex_fr_female$Type: Predicted Year: 2004 Ex: 26.756253","Age: 60 ex_fr_female$Type: Predicted Year: 2005 Ex: 26.631061","Age: 60 ex_fr_female$Type: Predicted Year: 2006 Ex: 26.979228","Age: 60 ex_fr_female$Type: Predicted Year: 2007 Ex: 27.106120","Age: 60 ex_fr_female$Type: Predicted Year: 2008 Ex: 27.082055","Age: 60 ex_fr_female$Type: Predicted Year: 2009 Ex: 27.192736","Age: 60 ex_fr_female$Type: Predicted Year: 2010 Ex: 27.343532","Age: 60 ex_fr_female$Type: Predicted Year: 2011 Ex: 27.634445","Age: 60 ex_fr_female$Type: Predicted Year: 2012 Ex: 27.437512","Age: 60 ex_fr_female$Type: Predicted Year: 2013 Ex: 27.613962","Age: 60 ex_fr_female$Type: Predicted Year: 2014 Ex: 27.959169","Age: 60 ex_fr_female$Type: Predicted Year: 2015 Ex: 27.664233","Age: 60 ex_fr_female$Type: Predicted Year: 2016 Ex: 27.807872","Age: 60 ex_fr_female$Type: Predicted Year: 2017 Ex: 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13.760000","Age: 61 ex_fr_female$Type: Observed Year: 1895 Ex: 13.320000","Age: 61 ex_fr_female$Type: Observed Year: 1896 Ex: 14.170000","Age: 61 ex_fr_female$Type: Observed Year: 1897 Ex: 14.460000","Age: 61 ex_fr_female$Type: Observed Year: 1898 Ex: 13.860000","Age: 61 ex_fr_female$Type: Observed Year: 1899 Ex: 13.910000","Age: 61 ex_fr_female$Type: Observed Year: 1900 Ex: 13.320000","Age: 61 ex_fr_female$Type: Observed Year: 1901 Ex: 14.020000","Age: 61 ex_fr_female$Type: Observed Year: 1902 Ex: 14.250000","Age: 61 ex_fr_female$Type: Observed Year: 1903 Ex: 14.250000","Age: 61 ex_fr_female$Type: Observed Year: 1904 Ex: 14.200000","Age: 61 ex_fr_female$Type: Observed Year: 1905 Ex: 13.980000","Age: 61 ex_fr_female$Type: Observed Year: 1906 Ex: 14.070000","Age: 61 ex_fr_female$Type: Observed Year: 1907 Ex: 13.650000","Age: 61 ex_fr_female$Type: Observed Year: 1908 Ex: 14.240000","Age: 61 ex_fr_female$Type: Observed Year: 1909 Ex: 13.790000","Age: 61 ex_fr_female$Type: Observed Year: 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Observed Year: 1926 Ex: 15.020000","Age: 61 ex_fr_female$Type: Observed Year: 1927 Ex: 15.190000","Age: 61 ex_fr_female$Type: Observed Year: 1928 Ex: 15.360000","Age: 61 ex_fr_female$Type: Observed Year: 1929 Ex: 14.530000","Age: 61 ex_fr_female$Type: Observed Year: 1930 Ex: 15.810000","Age: 61 ex_fr_female$Type: Observed Year: 1931 Ex: 15.220000","Age: 61 ex_fr_female$Type: Observed Year: 1932 Ex: 15.540000","Age: 61 ex_fr_female$Type: Observed Year: 1933 Ex: 15.500000","Age: 61 ex_fr_female$Type: Observed Year: 1934 Ex: 15.970000","Age: 61 ex_fr_female$Type: Observed Year: 1935 Ex: 15.610000","Age: 61 ex_fr_female$Type: Observed Year: 1936 Ex: 15.810000","Age: 61 ex_fr_female$Type: Observed Year: 1937 Ex: 16.090000","Age: 61 ex_fr_female$Type: Observed Year: 1938 Ex: 15.860000","Age: 61 ex_fr_female$Type: Observed Year: 1939 Ex: 15.770000","Age: 61 ex_fr_female$Type: Observed Year: 1940 Ex: 14.490000","Age: 61 ex_fr_female$Type: Observed Year: 1941 Ex: 15.520000","Age: 61 ex_fr_female$Type: Observed Year: 1942 Ex: 15.620000","Age: 61 ex_fr_female$Type: Observed Year: 1943 Ex: 15.880000","Age: 61 ex_fr_female$Type: Observed Year: 1944 Ex: 15.060000","Age: 61 ex_fr_female$Type: Observed Year: 1945 Ex: 15.990000","Age: 61 ex_fr_female$Type: Observed Year: 1946 Ex: 17.180000","Age: 61 ex_fr_female$Type: Observed Year: 1947 Ex: 17.400000","Age: 61 ex_fr_female$Type: Observed Year: 1948 Ex: 17.940000","Age: 61 ex_fr_female$Type: Observed Year: 1949 Ex: 16.880000","Age: 61 ex_fr_female$Type: Observed Year: 1950 Ex: 17.590000","Age: 61 ex_fr_female$Type: Observed Year: 1951 Ex: 17.130000","Age: 61 ex_fr_female$Type: Observed Year: 1952 Ex: 17.820000","Age: 61 ex_fr_female$Type: Observed Year: 1953 Ex: 17.330000","Age: 61 ex_fr_female$Type: Observed Year: 1954 Ex: 18.100000","Age: 61 ex_fr_female$Type: Observed Year: 1955 Ex: 18.090000","Age: 61 ex_fr_female$Type: Observed Year: 1956 Ex: 17.890000","Age: 61 ex_fr_female$Type: Observed Year: 1957 Ex: 18.240000","Age: 61 ex_fr_female$Type: Observed Year: 1958 Ex: 18.720000","Age: 61 ex_fr_female$Type: Observed Year: 1959 Ex: 18.770000","Age: 61 ex_fr_female$Type: Observed Year: 1960 Ex: 18.730000","Age: 61 ex_fr_female$Type: Observed Year: 1961 Ex: 19.280000","Age: 61 ex_fr_female$Type: Observed Year: 1962 Ex: 18.790000","Age: 61 ex_fr_female$Type: Observed Year: 1963 Ex: 18.720000","Age: 61 ex_fr_female$Type: Observed Year: 1964 Ex: 19.480000","Age: 61 ex_fr_female$Type: Observed Year: 1965 Ex: 19.290000","Age: 61 ex_fr_female$Type: Observed Year: 1966 Ex: 19.660000","Age: 61 ex_fr_female$Type: Observed Year: 1967 Ex: 19.620000","Age: 61 ex_fr_female$Type: Observed Year: 1968 Ex: 19.590000","Age: 61 ex_fr_female$Type: Observed Year: 1969 Ex: 19.410000","Age: 61 ex_fr_female$Type: Observed Year: 1970 Ex: 19.960000","Age: 61 ex_fr_female$Type: Observed Year: 1971 Ex: 19.970000","Age: 61 ex_fr_female$Type: Observed Year: 1972 Ex: 20.220000","Age: 61 ex_fr_female$Type: Observed Year: 1973 Ex: 20.170000","Age: 61 ex_fr_female$Type: Observed Year: 1974 Ex: 20.460000","Age: 61 ex_fr_female$Type: Observed Year: 1975 Ex: 20.480000","Age: 61 ex_fr_female$Type: Observed Year: 1976 Ex: 20.690000","Age: 61 ex_fr_female$Type: Observed Year: 1977 Ex: 21.190000","Age: 61 ex_fr_female$Type: Observed Year: 1978 Ex: 21.190000","Age: 61 ex_fr_female$Type: Observed Year: 1979 Ex: 21.450000","Age: 61 ex_fr_female$Type: Observed Year: 1980 Ex: 21.540000","Age: 61 ex_fr_female$Type: Observed Year: 1981 Ex: 21.510000","Age: 61 ex_fr_female$Type: Observed Year: 1982 Ex: 21.840000","Age: 61 ex_fr_female$Type: Observed Year: 1983 Ex: 21.730000","Age: 61 ex_fr_female$Type: Observed Year: 1984 Ex: 22.140000","Age: 61 ex_fr_female$Type: Observed Year: 1985 Ex: 22.150000","Age: 61 ex_fr_female$Type: Observed Year: 1986 Ex: 22.360000","Age: 61 ex_fr_female$Type: Observed Year: 1987 Ex: 22.830000","Age: 61 ex_fr_female$Type: Observed Year: 1988 Ex: 23.020000","Age: 61 ex_fr_female$Type: Observed Year: 1989 Ex: 23.150000","Age: 61 ex_fr_female$Type: Observed Year: 1990 Ex: 23.360000","Age: 61 ex_fr_female$Type: Observed Year: 1991 Ex: 23.560000","Age: 61 ex_fr_female$Type: Observed Year: 1992 Ex: 23.780000","Age: 61 ex_fr_female$Type: Observed Year: 1993 Ex: 23.780000","Age: 61 ex_fr_female$Type: Observed Year: 1994 Ex: 24.130000","Age: 61 ex_fr_female$Type: Observed Year: 1995 Ex: 24.080000","Age: 61 ex_fr_female$Type: Observed Year: 1996 Ex: 24.150000","Age: 61 ex_fr_female$Type: Observed Year: 1997 Ex: 24.320000","Age: 61 ex_fr_female$Type: Observed Year: 1998 Ex: 24.400000","Age: 61 ex_fr_female$Type: Observed Year: 1999 Ex: 24.470000","Age: 61 ex_fr_female$Type: Observed Year: 2000 Ex: 24.700000","Age: 61 ex_fr_female$Type: Observed Year: 2001 Ex: 24.850000","Age: 61 ex_fr_female$Type: Observed Year: 2002 Ex: 24.900000","Age: 61 ex_fr_female$Type: Observed Year: 2003 Ex: 24.740000","Age: 61 ex_fr_female$Type: Observed Year: 2004 Ex: 25.620000","Age: 61 ex_fr_female$Type: Observed Year: 2005 Ex: 25.490000","Age: 61 ex_fr_female$Type: Observed Year: 2006 Ex: 25.830000","Age: 61 ex_fr_female$Type: Observed Year: 2007 Ex: 25.960000","Age: 61 ex_fr_female$Type: Observed Year: 2008 Ex: 25.930000","Age: 61 ex_fr_female$Type: Observed Year: 2009 Ex: 26.040000","Age: 61 ex_fr_female$Type: Observed Year: 2010 Ex: 26.200000","Age: 61 ex_fr_female$Type: Observed Year: 2011 Ex: 26.490000","Age: 61 ex_fr_female$Type: Observed Year: 2012 Ex: 26.290000","Age: 61 ex_fr_female$Type: Observed Year: 2013 Ex: 26.470000","Age: 61 ex_fr_female$Type: Observed Year: 2014 Ex: 26.810000","Age: 61 ex_fr_female$Type: Observed Year: 2015 Ex: 26.520000","Age: 61 ex_fr_female$Type: Observed Year: 2016 Ex: 26.670000","Age: 61 ex_fr_female$Type: Observed Year: 2017 Ex: 26.630000"],"frame":"61","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[13.1998195463279,13.334984874586,13.408223563079,13.5625500646666,13.0601734437002,13.9759114566884,13.913957718769,14.0077024502624,14.2228708189919,13.9539878898242,13.4203016608309,13.7170263533279,13.4406612383348,13.1715936145446,13.2380302999565,13.5112471208922,12.1047494304604,13.5768978988428,13.2281136726185,13.6495095022619,13.913300431119,12.3849639940855,13.4324839205627,13.9319304844012,13.4550900720274,14.0605694947288,13.4557572633512,13.8070320044524,13.905017933061,14.1526432587356,13.9025556460171,13.006649792005,13.3259400909142,12.7263315709277,13.9314218035295,13.7833485759337,13.8112285051356,13.4713632182586,12.3472014886163,12.8288846809389,13.8429638850658,13.5059480711804,12.9649077813496,13.1285456803319,13.8464054788139,13.8622665309322,13.9337452110041,13.6986678748829,13.3878434293936,13.2876394734814,13.4944838095555,13.5657029505378,13.4740017752963,13.6009198831376,12.6852123486389,12.4065956241618,14.5619064954155,13.9108701898664,14.2326490478564,13.6561488797062,14.055077570642,14.3500676260844,13.8962301704547,13.6707907639007,14.0046443590705,14.4194283706402,14.3754056407448,14.324469514636,14.3986640135178,14.4149520048628,14.3276592069317,14.2797594473947,14.11063547458,14.4623894756506,13.6033373962581,13.2374649604044,13.4515222183069,13.5558952566613,14.0665283828928,13.6285745970258,14.471798112388,14.7678832904881,14.1681366498318,14.2088766219317,13.6212545054119,14.3197757362224,14.5565071662202,14.5536413388166,14.5022090813055,14.2825499282212,14.3721339984305,13.9539692300737,14.5398609814058,14.0932406022385,14.8501662476633,14.308617722102,14.9943456531302,14.979240191028,14.3971417891497,14.5221487924918,14.6836035307773,14.5081404947774,14.4272994026519,14.7123847071263,15.4573557983653,15.3437993446764,14.9631516695649,15.5832458066881,15.320040239304,15.1959613970365,15.3157989056417,15.4809130864419,15.6508305656076,14.8219046029062,16.1084274738467,15.5075992763739,15.827391802838,15.7909921712173,16.2593639888649,15.898318040352,16.1055660603698,16.3820137143252,16.1464335485984,16.0555023950674,14.7804452107608,15.812695965578,15.9092913464843,16.1646903640755,15.3470237967313,16.274828853622,17.4624080765507,17.6902590127528,18.2279495660016,17.166361702108,17.8762821637504,17.4182552114649,18.1035809046292,17.6134174236504,18.3848337447232,18.3711377290184,18.1678845365491,18.5241411319409,18.9980180198937,19.0536234484064,19.011314044166,19.557533150738,19.0652662908477,18.9985690411102,19.7620868533202,19.5707415014133,19.9360539727544,19.8925823328272,19.8634442519632,19.6922201002514,20.2387730451591,20.2497961836771,20.4936126329588,20.4485095765142,20.7359242511273,20.7567662139789,20.9648311444581,21.4631735836107,21.4691142796384,21.7193084567285,21.8153938747432,21.786760946623,22.111079718889,22.0003397077881,22.416851593128,22.4178790077837,22.6319305870443,23.1040132685739,23.2932199873932,23.4208106899288,23.6236865314022,23.8277473138812,24.0490631799063,24.0445115611249,24.4003300860451,24.3482928329814,24.4189072579267,24.5883205788889,24.6659479578208,24.7320727861482,24.9695177547972,25.1198096979605,25.1618620972468,25.0070740729971,25.8820584060559,25.7565288898817,26.0989191332678,26.2287902722476,26.1958035275398,26.3034730621791,26.4667572186832,26.7570980798402,26.5544044822186,26.73488849543,27.0755670673695,26.7829278682693,26.9335031279748,26.8905337300438],"text":["Age: 61 ex_fr_female$Type: Predicted Year: 1816 Ex: 13.199820","Age: 61 ex_fr_female$Type: Predicted Year: 1817 Ex: 13.334985","Age: 61 ex_fr_female$Type: Predicted Year: 1818 Ex: 13.408224","Age: 61 ex_fr_female$Type: Predicted Year: 1819 Ex: 13.562550","Age: 61 ex_fr_female$Type: Predicted Year: 1820 Ex: 13.060173","Age: 61 ex_fr_female$Type: Predicted Year: 1821 Ex: 13.975911","Age: 61 ex_fr_female$Type: Predicted Year: 1822 Ex: 13.913958","Age: 61 ex_fr_female$Type: Predicted Year: 1823 Ex: 14.007702","Age: 61 ex_fr_female$Type: Predicted Year: 1824 Ex: 14.222871","Age: 61 ex_fr_female$Type: Predicted Year: 1825 Ex: 13.953988","Age: 61 ex_fr_female$Type: Predicted Year: 1826 Ex: 13.420302","Age: 61 ex_fr_female$Type: Predicted Year: 1827 Ex: 13.717026","Age: 61 ex_fr_female$Type: Predicted Year: 1828 Ex: 13.440661","Age: 61 ex_fr_female$Type: Predicted Year: 1829 Ex: 13.171594","Age: 61 ex_fr_female$Type: Predicted Year: 1830 Ex: 13.238030","Age: 61 ex_fr_female$Type: Predicted Year: 1831 Ex: 13.511247","Age: 61 ex_fr_female$Type: Predicted Year: 1832 Ex: 12.104749","Age: 61 ex_fr_female$Type: Predicted Year: 1833 Ex: 13.576898","Age: 61 ex_fr_female$Type: Predicted Year: 1834 Ex: 13.228114","Age: 61 ex_fr_female$Type: Predicted Year: 1835 Ex: 13.649510","Age: 61 ex_fr_female$Type: Predicted Year: 1836 Ex: 13.913300","Age: 61 ex_fr_female$Type: Predicted Year: 1837 Ex: 12.384964","Age: 61 ex_fr_female$Type: Predicted Year: 1838 Ex: 13.432484","Age: 61 ex_fr_female$Type: Predicted Year: 1839 Ex: 13.931930","Age: 61 ex_fr_female$Type: Predicted Year: 1840 Ex: 13.455090","Age: 61 ex_fr_female$Type: Predicted Year: 1841 Ex: 14.060569","Age: 61 ex_fr_female$Type: Predicted Year: 1842 Ex: 13.455757","Age: 61 ex_fr_female$Type: Predicted Year: 1843 Ex: 13.807032","Age: 61 ex_fr_female$Type: Predicted Year: 1844 Ex: 13.905018","Age: 61 ex_fr_female$Type: Predicted Year: 1845 Ex: 14.152643","Age: 61 ex_fr_female$Type: Predicted Year: 1846 Ex: 13.902556","Age: 61 ex_fr_female$Type: Predicted Year: 1847 Ex: 13.006650","Age: 61 ex_fr_female$Type: Predicted Year: 1848 Ex: 13.325940","Age: 61 ex_fr_female$Type: Predicted Year: 1849 Ex: 12.726332","Age: 61 ex_fr_female$Type: Predicted Year: 1850 Ex: 13.931422","Age: 61 ex_fr_female$Type: Predicted Year: 1851 Ex: 13.783349","Age: 61 ex_fr_female$Type: Predicted Year: 1852 Ex: 13.811229","Age: 61 ex_fr_female$Type: Predicted Year: 1853 Ex: 13.471363","Age: 61 ex_fr_female$Type: Predicted Year: 1854 Ex: 12.347201","Age: 61 ex_fr_female$Type: Predicted Year: 1855 Ex: 12.828885","Age: 61 ex_fr_female$Type: Predicted Year: 1856 Ex: 13.842964","Age: 61 ex_fr_female$Type: Predicted Year: 1857 Ex: 13.505948","Age: 61 ex_fr_female$Type: Predicted Year: 1858 Ex: 12.964908","Age: 61 ex_fr_female$Type: Predicted Year: 1859 Ex: 13.128546","Age: 61 ex_fr_female$Type: Predicted Year: 1860 Ex: 13.846405","Age: 61 ex_fr_female$Type: Predicted Year: 1861 Ex: 13.862267","Age: 61 ex_fr_female$Type: Predicted Year: 1862 Ex: 13.933745","Age: 61 ex_fr_female$Type: Predicted Year: 1863 Ex: 13.698668","Age: 61 ex_fr_female$Type: Predicted Year: 1864 Ex: 13.387843","Age: 61 ex_fr_female$Type: Predicted Year: 1865 Ex: 13.287639","Age: 61 ex_fr_female$Type: Predicted Year: 1866 Ex: 13.494484","Age: 61 ex_fr_female$Type: Predicted Year: 1867 Ex: 13.565703","Age: 61 ex_fr_female$Type: Predicted Year: 1868 Ex: 13.474002","Age: 61 ex_fr_female$Type: Predicted Year: 1869 Ex: 13.600920","Age: 61 ex_fr_female$Type: Predicted Year: 1870 Ex: 12.685212","Age: 61 ex_fr_female$Type: Predicted Year: 1871 Ex: 12.406596","Age: 61 ex_fr_female$Type: Predicted Year: 1872 Ex: 14.561906","Age: 61 ex_fr_female$Type: Predicted Year: 1873 Ex: 13.910870","Age: 61 ex_fr_female$Type: Predicted Year: 1874 Ex: 14.232649","Age: 61 ex_fr_female$Type: Predicted Year: 1875 Ex: 13.656149","Age: 61 ex_fr_female$Type: Predicted Year: 1876 Ex: 14.055078","Age: 61 ex_fr_female$Type: Predicted Year: 1877 Ex: 14.350068","Age: 61 ex_fr_female$Type: Predicted Year: 1878 Ex: 13.896230","Age: 61 ex_fr_female$Type: Predicted Year: 1879 Ex: 13.670791","Age: 61 ex_fr_female$Type: Predicted Year: 1880 Ex: 14.004644","Age: 61 ex_fr_female$Type: Predicted Year: 1881 Ex: 14.419428","Age: 61 ex_fr_female$Type: Predicted Year: 1882 Ex: 14.375406","Age: 61 ex_fr_female$Type: Predicted Year: 1883 Ex: 14.324470","Age: 61 ex_fr_female$Type: Predicted Year: 1884 Ex: 14.398664","Age: 61 ex_fr_female$Type: Predicted Year: 1885 Ex: 14.414952","Age: 61 ex_fr_female$Type: Predicted Year: 1886 Ex: 14.327659","Age: 61 ex_fr_female$Type: Predicted Year: 1887 Ex: 14.279759","Age: 61 ex_fr_female$Type: Predicted Year: 1888 Ex: 14.110635","Age: 61 ex_fr_female$Type: Predicted Year: 1889 Ex: 14.462389","Age: 61 ex_fr_female$Type: Predicted Year: 1890 Ex: 13.603337","Age: 61 ex_fr_female$Type: Predicted Year: 1891 Ex: 13.237465","Age: 61 ex_fr_female$Type: Predicted Year: 1892 Ex: 13.451522","Age: 61 ex_fr_female$Type: Predicted Year: 1893 Ex: 13.555895","Age: 61 ex_fr_female$Type: Predicted Year: 1894 Ex: 14.066528","Age: 61 ex_fr_female$Type: Predicted Year: 1895 Ex: 13.628575","Age: 61 ex_fr_female$Type: Predicted Year: 1896 Ex: 14.471798","Age: 61 ex_fr_female$Type: Predicted Year: 1897 Ex: 14.767883","Age: 61 ex_fr_female$Type: Predicted Year: 1898 Ex: 14.168137","Age: 61 ex_fr_female$Type: Predicted Year: 1899 Ex: 14.208877","Age: 61 ex_fr_female$Type: Predicted Year: 1900 Ex: 13.621255","Age: 61 ex_fr_female$Type: Predicted Year: 1901 Ex: 14.319776","Age: 61 ex_fr_female$Type: Predicted Year: 1902 Ex: 14.556507","Age: 61 ex_fr_female$Type: Predicted Year: 1903 Ex: 14.553641","Age: 61 ex_fr_female$Type: Predicted Year: 1904 Ex: 14.502209","Age: 61 ex_fr_female$Type: Predicted Year: 1905 Ex: 14.282550","Age: 61 ex_fr_female$Type: Predicted Year: 1906 Ex: 14.372134","Age: 61 ex_fr_female$Type: Predicted Year: 1907 Ex: 13.953969","Age: 61 ex_fr_female$Type: Predicted Year: 1908 Ex: 14.539861","Age: 61 ex_fr_female$Type: Predicted Year: 1909 Ex: 14.093241","Age: 61 ex_fr_female$Type: Predicted Year: 1910 Ex: 14.850166","Age: 61 ex_fr_female$Type: Predicted Year: 1911 Ex: 14.308618","Age: 61 ex_fr_female$Type: Predicted Year: 1912 Ex: 14.994346","Age: 61 ex_fr_female$Type: Predicted Year: 1913 Ex: 14.979240","Age: 61 ex_fr_female$Type: Predicted Year: 1914 Ex: 14.397142","Age: 61 ex_fr_female$Type: Predicted Year: 1915 Ex: 14.522149","Age: 61 ex_fr_female$Type: Predicted Year: 1916 Ex: 14.683604","Age: 61 ex_fr_female$Type: Predicted Year: 1917 Ex: 14.508140","Age: 61 ex_fr_female$Type: Predicted Year: 1918 Ex: 14.427299","Age: 61 ex_fr_female$Type: Predicted Year: 1919 Ex: 14.712385","Age: 61 ex_fr_female$Type: Predicted Year: 1920 Ex: 15.457356","Age: 61 ex_fr_female$Type: Predicted Year: 1921 Ex: 15.343799","Age: 61 ex_fr_female$Type: Predicted Year: 1922 Ex: 14.963152","Age: 61 ex_fr_female$Type: Predicted Year: 1923 Ex: 15.583246","Age: 61 ex_fr_female$Type: Predicted Year: 1924 Ex: 15.320040","Age: 61 ex_fr_female$Type: Predicted Year: 1925 Ex: 15.195961","Age: 61 ex_fr_female$Type: Predicted Year: 1926 Ex: 15.315799","Age: 61 ex_fr_female$Type: Predicted Year: 1927 Ex: 15.480913","Age: 61 ex_fr_female$Type: Predicted Year: 1928 Ex: 15.650831","Age: 61 ex_fr_female$Type: Predicted Year: 1929 Ex: 14.821905","Age: 61 ex_fr_female$Type: Predicted Year: 1930 Ex: 16.108427","Age: 61 ex_fr_female$Type: Predicted Year: 1931 Ex: 15.507599","Age: 61 ex_fr_female$Type: Predicted Year: 1932 Ex: 15.827392","Age: 61 ex_fr_female$Type: Predicted Year: 1933 Ex: 15.790992","Age: 61 ex_fr_female$Type: Predicted Year: 1934 Ex: 16.259364","Age: 61 ex_fr_female$Type: Predicted Year: 1935 Ex: 15.898318","Age: 61 ex_fr_female$Type: Predicted Year: 1936 Ex: 16.105566","Age: 61 ex_fr_female$Type: Predicted Year: 1937 Ex: 16.382014","Age: 61 ex_fr_female$Type: Predicted Year: 1938 Ex: 16.146434","Age: 61 ex_fr_female$Type: Predicted Year: 1939 Ex: 16.055502","Age: 61 ex_fr_female$Type: Predicted Year: 1940 Ex: 14.780445","Age: 61 ex_fr_female$Type: Predicted Year: 1941 Ex: 15.812696","Age: 61 ex_fr_female$Type: Predicted Year: 1942 Ex: 15.909291","Age: 61 ex_fr_female$Type: Predicted Year: 1943 Ex: 16.164690","Age: 61 ex_fr_female$Type: Predicted Year: 1944 Ex: 15.347024","Age: 61 ex_fr_female$Type: Predicted Year: 1945 Ex: 16.274829","Age: 61 ex_fr_female$Type: Predicted Year: 1946 Ex: 17.462408","Age: 61 ex_fr_female$Type: Predicted Year: 1947 Ex: 17.690259","Age: 61 ex_fr_female$Type: Predicted Year: 1948 Ex: 18.227950","Age: 61 ex_fr_female$Type: Predicted Year: 1949 Ex: 17.166362","Age: 61 ex_fr_female$Type: Predicted Year: 1950 Ex: 17.876282","Age: 61 ex_fr_female$Type: Predicted Year: 1951 Ex: 17.418255","Age: 61 ex_fr_female$Type: Predicted Year: 1952 Ex: 18.103581","Age: 61 ex_fr_female$Type: Predicted Year: 1953 Ex: 17.613417","Age: 61 ex_fr_female$Type: Predicted Year: 1954 Ex: 18.384834","Age: 61 ex_fr_female$Type: Predicted Year: 1955 Ex: 18.371138","Age: 61 ex_fr_female$Type: Predicted Year: 1956 Ex: 18.167885","Age: 61 ex_fr_female$Type: Predicted Year: 1957 Ex: 18.524141","Age: 61 ex_fr_female$Type: Predicted Year: 1958 Ex: 18.998018","Age: 61 ex_fr_female$Type: Predicted Year: 1959 Ex: 19.053623","Age: 61 ex_fr_female$Type: Predicted Year: 1960 Ex: 19.011314","Age: 61 ex_fr_female$Type: Predicted Year: 1961 Ex: 19.557533","Age: 61 ex_fr_female$Type: Predicted Year: 1962 Ex: 19.065266","Age: 61 ex_fr_female$Type: Predicted Year: 1963 Ex: 18.998569","Age: 61 ex_fr_female$Type: Predicted Year: 1964 Ex: 19.762087","Age: 61 ex_fr_female$Type: Predicted Year: 1965 Ex: 19.570742","Age: 61 ex_fr_female$Type: Predicted Year: 1966 Ex: 19.936054","Age: 61 ex_fr_female$Type: Predicted Year: 1967 Ex: 19.892582","Age: 61 ex_fr_female$Type: Predicted Year: 1968 Ex: 19.863444","Age: 61 ex_fr_female$Type: Predicted Year: 1969 Ex: 19.692220","Age: 61 ex_fr_female$Type: Predicted Year: 1970 Ex: 20.238773","Age: 61 ex_fr_female$Type: Predicted Year: 1971 Ex: 20.249796","Age: 61 ex_fr_female$Type: Predicted Year: 1972 Ex: 20.493613","Age: 61 ex_fr_female$Type: Predicted Year: 1973 Ex: 20.448510","Age: 61 ex_fr_female$Type: Predicted Year: 1974 Ex: 20.735924","Age: 61 ex_fr_female$Type: Predicted Year: 1975 Ex: 20.756766","Age: 61 ex_fr_female$Type: Predicted Year: 1976 Ex: 20.964831","Age: 61 ex_fr_female$Type: Predicted Year: 1977 Ex: 21.463174","Age: 61 ex_fr_female$Type: Predicted Year: 1978 Ex: 21.469114","Age: 61 ex_fr_female$Type: Predicted Year: 1979 Ex: 21.719308","Age: 61 ex_fr_female$Type: Predicted Year: 1980 Ex: 21.815394","Age: 61 ex_fr_female$Type: Predicted Year: 1981 Ex: 21.786761","Age: 61 ex_fr_female$Type: Predicted Year: 1982 Ex: 22.111080","Age: 61 ex_fr_female$Type: Predicted Year: 1983 Ex: 22.000340","Age: 61 ex_fr_female$Type: Predicted Year: 1984 Ex: 22.416852","Age: 61 ex_fr_female$Type: Predicted Year: 1985 Ex: 22.417879","Age: 61 ex_fr_female$Type: Predicted Year: 1986 Ex: 22.631931","Age: 61 ex_fr_female$Type: Predicted Year: 1987 Ex: 23.104013","Age: 61 ex_fr_female$Type: Predicted Year: 1988 Ex: 23.293220","Age: 61 ex_fr_female$Type: Predicted Year: 1989 Ex: 23.420811","Age: 61 ex_fr_female$Type: Predicted Year: 1990 Ex: 23.623687","Age: 61 ex_fr_female$Type: Predicted Year: 1991 Ex: 23.827747","Age: 61 ex_fr_female$Type: Predicted Year: 1992 Ex: 24.049063","Age: 61 ex_fr_female$Type: Predicted Year: 1993 Ex: 24.044512","Age: 61 ex_fr_female$Type: Predicted Year: 1994 Ex: 24.400330","Age: 61 ex_fr_female$Type: Predicted Year: 1995 Ex: 24.348293","Age: 61 ex_fr_female$Type: Predicted Year: 1996 Ex: 24.418907","Age: 61 ex_fr_female$Type: Predicted Year: 1997 Ex: 24.588321","Age: 61 ex_fr_female$Type: Predicted Year: 1998 Ex: 24.665948","Age: 61 ex_fr_female$Type: Predicted Year: 1999 Ex: 24.732073","Age: 61 ex_fr_female$Type: Predicted Year: 2000 Ex: 24.969518","Age: 61 ex_fr_female$Type: Predicted Year: 2001 Ex: 25.119810","Age: 61 ex_fr_female$Type: Predicted Year: 2002 Ex: 25.161862","Age: 61 ex_fr_female$Type: Predicted Year: 2003 Ex: 25.007074","Age: 61 ex_fr_female$Type: Predicted Year: 2004 Ex: 25.882058","Age: 61 ex_fr_female$Type: Predicted Year: 2005 Ex: 25.756529","Age: 61 ex_fr_female$Type: Predicted Year: 2006 Ex: 26.098919","Age: 61 ex_fr_female$Type: Predicted Year: 2007 Ex: 26.228790","Age: 61 ex_fr_female$Type: Predicted Year: 2008 Ex: 26.195804","Age: 61 ex_fr_female$Type: Predicted Year: 2009 Ex: 26.303473","Age: 61 ex_fr_female$Type: Predicted Year: 2010 Ex: 26.466757","Age: 61 ex_fr_female$Type: Predicted Year: 2011 Ex: 26.757098","Age: 61 ex_fr_female$Type: Predicted Year: 2012 Ex: 26.554404","Age: 61 ex_fr_female$Type: Predicted Year: 2013 Ex: 26.734888","Age: 61 ex_fr_female$Type: Predicted Year: 2014 Ex: 27.075567","Age: 61 ex_fr_female$Type: Predicted Year: 2015 Ex: 26.782928","Age: 61 ex_fr_female$Type: Predicted Year: 2016 Ex: 26.933503","Age: 61 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1926 Ex: 14.340000","Age: 62 ex_fr_female$Type: Observed Year: 1927 Ex: 14.490000","Age: 62 ex_fr_female$Type: Observed Year: 1928 Ex: 14.670000","Age: 62 ex_fr_female$Type: Observed Year: 1929 Ex: 13.860000","Age: 62 ex_fr_female$Type: Observed Year: 1930 Ex: 15.130000","Age: 62 ex_fr_female$Type: Observed Year: 1931 Ex: 14.510000","Age: 62 ex_fr_female$Type: Observed Year: 1932 Ex: 14.830000","Age: 62 ex_fr_female$Type: Observed Year: 1933 Ex: 14.810000","Age: 62 ex_fr_female$Type: Observed Year: 1934 Ex: 15.280000","Age: 62 ex_fr_female$Type: Observed Year: 1935 Ex: 14.920000","Age: 62 ex_fr_female$Type: Observed Year: 1936 Ex: 15.120000","Age: 62 ex_fr_female$Type: Observed Year: 1937 Ex: 15.390000","Age: 62 ex_fr_female$Type: Observed Year: 1938 Ex: 15.150000","Age: 62 ex_fr_female$Type: Observed Year: 1939 Ex: 15.070000","Age: 62 ex_fr_female$Type: Observed Year: 1940 Ex: 13.810000","Age: 62 ex_fr_female$Type: Observed Year: 1941 Ex: 14.820000","Age: 62 ex_fr_female$Type: Observed Year: 1942 Ex: 14.910000","Age: 62 ex_fr_female$Type: Observed Year: 1943 Ex: 15.160000","Age: 62 ex_fr_female$Type: Observed Year: 1944 Ex: 14.370000","Age: 62 ex_fr_female$Type: Observed Year: 1945 Ex: 15.270000","Age: 62 ex_fr_female$Type: Observed Year: 1946 Ex: 16.430000","Age: 62 ex_fr_female$Type: Observed Year: 1947 Ex: 16.650000","Age: 62 ex_fr_female$Type: Observed Year: 1948 Ex: 17.190000","Age: 62 ex_fr_female$Type: Observed Year: 1949 Ex: 16.130000","Age: 62 ex_fr_female$Type: Observed Year: 1950 Ex: 16.820000","Age: 62 ex_fr_female$Type: Observed Year: 1951 Ex: 16.390000","Age: 62 ex_fr_female$Type: Observed Year: 1952 Ex: 17.050000","Age: 62 ex_fr_female$Type: Observed Year: 1953 Ex: 16.570000","Age: 62 ex_fr_female$Type: Observed Year: 1954 Ex: 17.330000","Age: 62 ex_fr_female$Type: Observed Year: 1955 Ex: 17.310000","Age: 62 ex_fr_female$Type: Observed Year: 1956 Ex: 17.120000","Age: 62 ex_fr_female$Type: Observed Year: 1957 Ex: 17.470000","Age: 62 ex_fr_female$Type: Observed Year: 1958 Ex: 17.930000","Age: 62 ex_fr_female$Type: Observed Year: 1959 Ex: 17.980000","Age: 62 ex_fr_female$Type: Observed Year: 1960 Ex: 17.940000","Age: 62 ex_fr_female$Type: Observed Year: 1961 Ex: 18.480000","Age: 62 ex_fr_female$Type: Observed Year: 1962 Ex: 17.990000","Age: 62 ex_fr_female$Type: Observed Year: 1963 Ex: 17.920000","Age: 62 ex_fr_female$Type: Observed Year: 1964 Ex: 18.680000","Age: 62 ex_fr_female$Type: Observed Year: 1965 Ex: 18.490000","Age: 62 ex_fr_female$Type: Observed Year: 1966 Ex: 18.850000","Age: 62 ex_fr_female$Type: Observed Year: 1967 Ex: 18.810000","Age: 62 ex_fr_female$Type: Observed Year: 1968 Ex: 18.780000","Age: 62 ex_fr_female$Type: Observed Year: 1969 Ex: 18.610000","Age: 62 ex_fr_female$Type: Observed Year: 1970 Ex: 19.150000","Age: 62 ex_fr_female$Type: Observed Year: 1971 Ex: 19.160000","Age: 62 ex_fr_female$Type: Observed Year: 1972 Ex: 19.400000","Age: 62 ex_fr_female$Type: Observed Year: 1973 Ex: 19.350000","Age: 62 ex_fr_female$Type: Observed Year: 1974 Ex: 19.630000","Age: 62 ex_fr_female$Type: Observed Year: 1975 Ex: 19.650000","Age: 62 ex_fr_female$Type: Observed Year: 1976 Ex: 19.850000","Age: 62 ex_fr_female$Type: Observed Year: 1977 Ex: 20.350000","Age: 62 ex_fr_female$Type: Observed Year: 1978 Ex: 20.360000","Age: 62 ex_fr_female$Type: Observed Year: 1979 Ex: 20.610000","Age: 62 ex_fr_female$Type: Observed Year: 1980 Ex: 20.700000","Age: 62 ex_fr_female$Type: Observed Year: 1981 Ex: 20.670000","Age: 62 ex_fr_female$Type: Observed Year: 1982 Ex: 20.990000","Age: 62 ex_fr_female$Type: Observed Year: 1983 Ex: 20.880000","Age: 62 ex_fr_female$Type: Observed Year: 1984 Ex: 21.300000","Age: 62 ex_fr_female$Type: Observed Year: 1985 Ex: 21.300000","Age: 62 ex_fr_female$Type: Observed Year: 1986 Ex: 21.510000","Age: 62 ex_fr_female$Type: Observed Year: 1987 Ex: 21.970000","Age: 62 ex_fr_female$Type: Observed Year: 1988 Ex: 22.170000","Age: 62 ex_fr_female$Type: Observed Year: 1989 Ex: 22.290000","Age: 62 ex_fr_female$Type: Observed Year: 1990 Ex: 22.490000","Age: 62 ex_fr_female$Type: Observed Year: 1991 Ex: 22.700000","Age: 62 ex_fr_female$Type: Observed Year: 1992 Ex: 22.920000","Age: 62 ex_fr_female$Type: Observed Year: 1993 Ex: 22.910000","Age: 62 ex_fr_female$Type: Observed Year: 1994 Ex: 23.270000","Age: 62 ex_fr_female$Type: Observed Year: 1995 Ex: 23.220000","Age: 62 ex_fr_female$Type: Observed Year: 1996 Ex: 23.280000","Age: 62 ex_fr_female$Type: Observed Year: 1997 Ex: 23.450000","Age: 62 ex_fr_female$Type: Observed Year: 1998 Ex: 23.520000","Age: 62 ex_fr_female$Type: Observed Year: 1999 Ex: 23.590000","Age: 62 ex_fr_female$Type: Observed Year: 2000 Ex: 23.820000","Age: 62 ex_fr_female$Type: Observed Year: 2001 Ex: 23.980000","Age: 62 ex_fr_female$Type: Observed Year: 2002 Ex: 24.020000","Age: 62 ex_fr_female$Type: Observed Year: 2003 Ex: 23.860000","Age: 62 ex_fr_female$Type: Observed Year: 2004 Ex: 24.740000","Age: 62 ex_fr_female$Type: Observed Year: 2005 Ex: 24.610000","Age: 62 ex_fr_female$Type: Observed Year: 2006 Ex: 24.950000","Age: 62 ex_fr_female$Type: Observed Year: 2007 Ex: 25.080000","Age: 62 ex_fr_female$Type: Observed Year: 2008 Ex: 25.060000","Age: 62 ex_fr_female$Type: Observed Year: 2009 Ex: 25.160000","Age: 62 ex_fr_female$Type: Observed Year: 2010 Ex: 25.320000","Age: 62 ex_fr_female$Type: Observed Year: 2011 Ex: 25.620000","Age: 62 ex_fr_female$Type: Observed Year: 2012 Ex: 25.420000","Age: 62 ex_fr_female$Type: Observed Year: 2013 Ex: 25.600000","Age: 62 ex_fr_female$Type: Observed Year: 2014 Ex: 25.940000","Age: 62 ex_fr_female$Type: Observed Year: 2015 Ex: 25.640000","Age: 62 ex_fr_female$Type: Observed Year: 2016 Ex: 25.800000","Age: 62 ex_fr_female$Type: Observed Year: 2017 Ex: 25.760000"],"frame":"62","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[12.6759334005505,12.8272268889163,12.8882659796821,13.0435890600413,12.535615218093,13.4250126020104,13.3578056678868,13.4402826961702,13.6566765764652,13.4109829020484,12.8744113546075,13.1629654167942,12.8895920570206,12.6208988329805,12.6945737950491,12.957375759542,11.6207796888044,13.0317731300823,12.6916893496721,13.089635834505,13.3237629766745,11.8385492801455,12.8793911180943,13.3791494177998,12.8978189434881,13.4825297755495,12.8880592930416,13.204643873374,13.3170235306138,13.5546764679701,13.3218108906822,12.4416891461528,12.7557666174684,12.2023446432372,13.3536584199884,13.1973676666765,13.2388908928172,12.8918565739442,11.8282938457706,12.252381866594,13.231756875183,12.9266224307181,12.4032698915371,12.5608990348891,13.2610134513508,13.2861896745813,13.3584111642023,13.1293923823122,12.8065609839407,12.6994041801735,12.8942734825306,12.9581229548074,12.8716899925317,12.998582442912,12.1129811871309,11.87672062678,13.9675960212018,13.3255446051201,13.6357656667025,13.0686460900647,13.4556335241827,13.7512134129161,13.2971972578856,13.074103773525,13.4007899114509,13.8144199080592,13.7774281066577,13.7170507990273,13.7984997963417,13.8138246185516,13.7285829067361,13.6791525046294,13.5056869671084,13.8499858944676,13.034334934571,12.6507706417935,12.8377110550931,12.9404902929134,13.4463435803453,13.0099044242148,13.8235087770234,14.0959204196539,13.5127638611941,13.5531254475938,12.9822642549906,13.6774401694169,13.8937853844079,13.8908507930397,13.8407659176682,13.644342823824,13.7135150627694,13.315148697018,13.888966988881,13.424554859599,14.1800951686599,13.6543801913012,14.3255134618338,14.311544139255,13.7562381502771,13.8696645882723,14.0088322908151,13.8280561549529,13.7728927575755,14.0417634745473,14.779835442954,14.6703533257305,14.2838449879141,14.9161466756327,14.6453141613228,14.5306834176499,14.6381028889515,14.7896730651885,14.9686608868844,14.1520629633234,15.4272532055151,14.8064962583463,15.1245302545893,15.1056747235404,15.5741979161051,15.2161523554451,15.4171682894175,15.6855330443965,15.4475239636905,15.3584903551431,14.1032201714065,15.1134527619533,15.2033053856025,15.446344686375,14.6621198045447,15.5552518647509,16.7196278972536,16.9394195500119,17.4822058727253,16.4145244507778,17.1062925927746,16.671714133545,17.3374919857055,16.8550413194395,17.6165023424442,17.5984656221981,17.3983537607154,17.7475749027143,18.2087946134617,18.2661596129408,18.2199955343536,18.7585007485398,18.2721153853337,18.2052361791085,18.9622918914305,18.7666455492421,19.132569147047,19.0866991546348,19.0578561474583,18.8882086784471,19.4247951801358,19.4403086870567,19.6808255147271,19.6238260448577,19.9078474052337,19.9309094658887,20.1296198931188,20.6307072292458,20.6360613008149,20.8891029762891,20.9737135722972,20.9476560265269,21.2687654561001,21.1583003303276,21.5708084031148,21.5700773367357,21.7778166065753,22.2468685462908,22.4395648990298,22.5640535420113,22.7616830057753,22.9660229048776,23.1874662110217,23.1809932700871,23.5350284435132,23.4848564742535,23.5505835100849,23.7175387526006,23.790238074995,23.8557287410349,24.0889751851058,24.2432172653688,24.28572831122,24.12917765855,25.0072460951288,24.8780518837384,25.2184886935042,25.3463816642629,25.325121048225,25.4216650026572,25.5841319738123,25.8800057172063,25.6795046946973,25.8619097632247,26.200766451138,25.904372094684,26.0598923762524,26.0177782202844],"text":["Age: 62 ex_fr_female$Type: Predicted Year: 1816 Ex: 12.675933","Age: 62 ex_fr_female$Type: Predicted Year: 1817 Ex: 12.827227","Age: 62 ex_fr_female$Type: Predicted Year: 1818 Ex: 12.888266","Age: 62 ex_fr_female$Type: Predicted Year: 1819 Ex: 13.043589","Age: 62 ex_fr_female$Type: Predicted Year: 1820 Ex: 12.535615","Age: 62 ex_fr_female$Type: Predicted Year: 1821 Ex: 13.425013","Age: 62 ex_fr_female$Type: Predicted Year: 1822 Ex: 13.357806","Age: 62 ex_fr_female$Type: Predicted Year: 1823 Ex: 13.440283","Age: 62 ex_fr_female$Type: Predicted Year: 1824 Ex: 13.656677","Age: 62 ex_fr_female$Type: Predicted Year: 1825 Ex: 13.410983","Age: 62 ex_fr_female$Type: Predicted Year: 1826 Ex: 12.874411","Age: 62 ex_fr_female$Type: Predicted Year: 1827 Ex: 13.162965","Age: 62 ex_fr_female$Type: Predicted Year: 1828 Ex: 12.889592","Age: 62 ex_fr_female$Type: Predicted Year: 1829 Ex: 12.620899","Age: 62 ex_fr_female$Type: Predicted Year: 1830 Ex: 12.694574","Age: 62 ex_fr_female$Type: Predicted Year: 1831 Ex: 12.957376","Age: 62 ex_fr_female$Type: Predicted Year: 1832 Ex: 11.620780","Age: 62 ex_fr_female$Type: Predicted Year: 1833 Ex: 13.031773","Age: 62 ex_fr_female$Type: Predicted Year: 1834 Ex: 12.691689","Age: 62 ex_fr_female$Type: Predicted Year: 1835 Ex: 13.089636","Age: 62 ex_fr_female$Type: Predicted Year: 1836 Ex: 13.323763","Age: 62 ex_fr_female$Type: Predicted Year: 1837 Ex: 11.838549","Age: 62 ex_fr_female$Type: Predicted Year: 1838 Ex: 12.879391","Age: 62 ex_fr_female$Type: Predicted Year: 1839 Ex: 13.379149","Age: 62 ex_fr_female$Type: Predicted Year: 1840 Ex: 12.897819","Age: 62 ex_fr_female$Type: Predicted Year: 1841 Ex: 13.482530","Age: 62 ex_fr_female$Type: Predicted Year: 1842 Ex: 12.888059","Age: 62 ex_fr_female$Type: Predicted Year: 1843 Ex: 13.204644","Age: 62 ex_fr_female$Type: Predicted Year: 1844 Ex: 13.317024","Age: 62 ex_fr_female$Type: Predicted Year: 1845 Ex: 13.554676","Age: 62 ex_fr_female$Type: Predicted Year: 1846 Ex: 13.321811","Age: 62 ex_fr_female$Type: Predicted Year: 1847 Ex: 12.441689","Age: 62 ex_fr_female$Type: Predicted Year: 1848 Ex: 12.755767","Age: 62 ex_fr_female$Type: Predicted Year: 1849 Ex: 12.202345","Age: 62 ex_fr_female$Type: Predicted Year: 1850 Ex: 13.353658","Age: 62 ex_fr_female$Type: Predicted Year: 1851 Ex: 13.197368","Age: 62 ex_fr_female$Type: Predicted Year: 1852 Ex: 13.238891","Age: 62 ex_fr_female$Type: Predicted Year: 1853 Ex: 12.891857","Age: 62 ex_fr_female$Type: Predicted Year: 1854 Ex: 11.828294","Age: 62 ex_fr_female$Type: Predicted Year: 1855 Ex: 12.252382","Age: 62 ex_fr_female$Type: Predicted Year: 1856 Ex: 13.231757","Age: 62 ex_fr_female$Type: Predicted Year: 1857 Ex: 12.926622","Age: 62 ex_fr_female$Type: Predicted Year: 1858 Ex: 12.403270","Age: 62 ex_fr_female$Type: Predicted Year: 1859 Ex: 12.560899","Age: 62 ex_fr_female$Type: Predicted Year: 1860 Ex: 13.261013","Age: 62 ex_fr_female$Type: Predicted Year: 1861 Ex: 13.286190","Age: 62 ex_fr_female$Type: Predicted Year: 1862 Ex: 13.358411","Age: 62 ex_fr_female$Type: Predicted Year: 1863 Ex: 13.129392","Age: 62 ex_fr_female$Type: Predicted Year: 1864 Ex: 12.806561","Age: 62 ex_fr_female$Type: Predicted Year: 1865 Ex: 12.699404","Age: 62 ex_fr_female$Type: Predicted Year: 1866 Ex: 12.894273","Age: 62 ex_fr_female$Type: Predicted Year: 1867 Ex: 12.958123","Age: 62 ex_fr_female$Type: Predicted Year: 1868 Ex: 12.871690","Age: 62 ex_fr_female$Type: Predicted Year: 1869 Ex: 12.998582","Age: 62 ex_fr_female$Type: Predicted Year: 1870 Ex: 12.112981","Age: 62 ex_fr_female$Type: Predicted Year: 1871 Ex: 11.876721","Age: 62 ex_fr_female$Type: Predicted Year: 1872 Ex: 13.967596","Age: 62 ex_fr_female$Type: Predicted Year: 1873 Ex: 13.325545","Age: 62 ex_fr_female$Type: Predicted Year: 1874 Ex: 13.635766","Age: 62 ex_fr_female$Type: Predicted Year: 1875 Ex: 13.068646","Age: 62 ex_fr_female$Type: Predicted Year: 1876 Ex: 13.455634","Age: 62 ex_fr_female$Type: Predicted Year: 1877 Ex: 13.751213","Age: 62 ex_fr_female$Type: Predicted Year: 1878 Ex: 13.297197","Age: 62 ex_fr_female$Type: Predicted Year: 1879 Ex: 13.074104","Age: 62 ex_fr_female$Type: Predicted Year: 1880 Ex: 13.400790","Age: 62 ex_fr_female$Type: Predicted Year: 1881 Ex: 13.814420","Age: 62 ex_fr_female$Type: Predicted Year: 1882 Ex: 13.777428","Age: 62 ex_fr_female$Type: Predicted Year: 1883 Ex: 13.717051","Age: 62 ex_fr_female$Type: Predicted Year: 1884 Ex: 13.798500","Age: 62 ex_fr_female$Type: Predicted Year: 1885 Ex: 13.813825","Age: 62 ex_fr_female$Type: Predicted Year: 1886 Ex: 13.728583","Age: 62 ex_fr_female$Type: Predicted Year: 1887 Ex: 13.679153","Age: 62 ex_fr_female$Type: Predicted Year: 1888 Ex: 13.505687","Age: 62 ex_fr_female$Type: Predicted Year: 1889 Ex: 13.849986","Age: 62 ex_fr_female$Type: Predicted Year: 1890 Ex: 13.034335","Age: 62 ex_fr_female$Type: Predicted Year: 1891 Ex: 12.650771","Age: 62 ex_fr_female$Type: Predicted Year: 1892 Ex: 12.837711","Age: 62 ex_fr_female$Type: Predicted Year: 1893 Ex: 12.940490","Age: 62 ex_fr_female$Type: Predicted Year: 1894 Ex: 13.446344","Age: 62 ex_fr_female$Type: Predicted Year: 1895 Ex: 13.009904","Age: 62 ex_fr_female$Type: Predicted Year: 1896 Ex: 13.823509","Age: 62 ex_fr_female$Type: Predicted Year: 1897 Ex: 14.095920","Age: 62 ex_fr_female$Type: Predicted Year: 1898 Ex: 13.512764","Age: 62 ex_fr_female$Type: Predicted Year: 1899 Ex: 13.553125","Age: 62 ex_fr_female$Type: Predicted Year: 1900 Ex: 12.982264","Age: 62 ex_fr_female$Type: Predicted Year: 1901 Ex: 13.677440","Age: 62 ex_fr_female$Type: Predicted Year: 1902 Ex: 13.893785","Age: 62 ex_fr_female$Type: Predicted Year: 1903 Ex: 13.890851","Age: 62 ex_fr_female$Type: Predicted Year: 1904 Ex: 13.840766","Age: 62 ex_fr_female$Type: Predicted Year: 1905 Ex: 13.644343","Age: 62 ex_fr_female$Type: Predicted Year: 1906 Ex: 13.713515","Age: 62 ex_fr_female$Type: Predicted Year: 1907 Ex: 13.315149","Age: 62 ex_fr_female$Type: Predicted Year: 1908 Ex: 13.888967","Age: 62 ex_fr_female$Type: Predicted Year: 1909 Ex: 13.424555","Age: 62 ex_fr_female$Type: Predicted Year: 1910 Ex: 14.180095","Age: 62 ex_fr_female$Type: Predicted Year: 1911 Ex: 13.654380","Age: 62 ex_fr_female$Type: Predicted Year: 1912 Ex: 14.325513","Age: 62 ex_fr_female$Type: Predicted Year: 1913 Ex: 14.311544","Age: 62 ex_fr_female$Type: Predicted Year: 1914 Ex: 13.756238","Age: 62 ex_fr_female$Type: Predicted Year: 1915 Ex: 13.869665","Age: 62 ex_fr_female$Type: Predicted Year: 1916 Ex: 14.008832","Age: 62 ex_fr_female$Type: Predicted Year: 1917 Ex: 13.828056","Age: 62 ex_fr_female$Type: Predicted Year: 1918 Ex: 13.772893","Age: 62 ex_fr_female$Type: Predicted Year: 1919 Ex: 14.041763","Age: 62 ex_fr_female$Type: Predicted Year: 1920 Ex: 14.779835","Age: 62 ex_fr_female$Type: Predicted Year: 1921 Ex: 14.670353","Age: 62 ex_fr_female$Type: Predicted Year: 1922 Ex: 14.283845","Age: 62 ex_fr_female$Type: Predicted Year: 1923 Ex: 14.916147","Age: 62 ex_fr_female$Type: Predicted Year: 1924 Ex: 14.645314","Age: 62 ex_fr_female$Type: Predicted Year: 1925 Ex: 14.530683","Age: 62 ex_fr_female$Type: Predicted Year: 1926 Ex: 14.638103","Age: 62 ex_fr_female$Type: Predicted Year: 1927 Ex: 14.789673","Age: 62 ex_fr_female$Type: Predicted Year: 1928 Ex: 14.968661","Age: 62 ex_fr_female$Type: Predicted Year: 1929 Ex: 14.152063","Age: 62 ex_fr_female$Type: Predicted Year: 1930 Ex: 15.427253","Age: 62 ex_fr_female$Type: Predicted Year: 1931 Ex: 14.806496","Age: 62 ex_fr_female$Type: Predicted Year: 1932 Ex: 15.124530","Age: 62 ex_fr_female$Type: Predicted Year: 1933 Ex: 15.105675","Age: 62 ex_fr_female$Type: Predicted Year: 1934 Ex: 15.574198","Age: 62 ex_fr_female$Type: Predicted Year: 1935 Ex: 15.216152","Age: 62 ex_fr_female$Type: Predicted Year: 1936 Ex: 15.417168","Age: 62 ex_fr_female$Type: Predicted Year: 1937 Ex: 15.685533","Age: 62 ex_fr_female$Type: Predicted Year: 1938 Ex: 15.447524","Age: 62 ex_fr_female$Type: Predicted Year: 1939 Ex: 15.358490","Age: 62 ex_fr_female$Type: Predicted Year: 1940 Ex: 14.103220","Age: 62 ex_fr_female$Type: Predicted Year: 1941 Ex: 15.113453","Age: 62 ex_fr_female$Type: Predicted Year: 1942 Ex: 15.203305","Age: 62 ex_fr_female$Type: Predicted Year: 1943 Ex: 15.446345","Age: 62 ex_fr_female$Type: Predicted Year: 1944 Ex: 14.662120","Age: 62 ex_fr_female$Type: Predicted Year: 1945 Ex: 15.555252","Age: 62 ex_fr_female$Type: Predicted Year: 1946 Ex: 16.719628","Age: 62 ex_fr_female$Type: Predicted Year: 1947 Ex: 16.939420","Age: 62 ex_fr_female$Type: Predicted Year: 1948 Ex: 17.482206","Age: 62 ex_fr_female$Type: Predicted Year: 1949 Ex: 16.414524","Age: 62 ex_fr_female$Type: Predicted Year: 1950 Ex: 17.106293","Age: 62 ex_fr_female$Type: Predicted Year: 1951 Ex: 16.671714","Age: 62 ex_fr_female$Type: Predicted Year: 1952 Ex: 17.337492","Age: 62 ex_fr_female$Type: Predicted Year: 1953 Ex: 16.855041","Age: 62 ex_fr_female$Type: Predicted Year: 1954 Ex: 17.616502","Age: 62 ex_fr_female$Type: Predicted Year: 1955 Ex: 17.598466","Age: 62 ex_fr_female$Type: Predicted Year: 1956 Ex: 17.398354","Age: 62 ex_fr_female$Type: Predicted Year: 1957 Ex: 17.747575","Age: 62 ex_fr_female$Type: Predicted Year: 1958 Ex: 18.208795","Age: 62 ex_fr_female$Type: Predicted Year: 1959 Ex: 18.266160","Age: 62 ex_fr_female$Type: Predicted Year: 1960 Ex: 18.219996","Age: 62 ex_fr_female$Type: Predicted Year: 1961 Ex: 18.758501","Age: 62 ex_fr_female$Type: Predicted Year: 1962 Ex: 18.272115","Age: 62 ex_fr_female$Type: Predicted Year: 1963 Ex: 18.205236","Age: 62 ex_fr_female$Type: Predicted Year: 1964 Ex: 18.962292","Age: 62 ex_fr_female$Type: Predicted Year: 1965 Ex: 18.766646","Age: 62 ex_fr_female$Type: Predicted Year: 1966 Ex: 19.132569","Age: 62 ex_fr_female$Type: Predicted Year: 1967 Ex: 19.086699","Age: 62 ex_fr_female$Type: Predicted Year: 1968 Ex: 19.057856","Age: 62 ex_fr_female$Type: Predicted Year: 1969 Ex: 18.888209","Age: 62 ex_fr_female$Type: Predicted Year: 1970 Ex: 19.424795","Age: 62 ex_fr_female$Type: Predicted Year: 1971 Ex: 19.440309","Age: 62 ex_fr_female$Type: Predicted Year: 1972 Ex: 19.680826","Age: 62 ex_fr_female$Type: Predicted Year: 1973 Ex: 19.623826","Age: 62 ex_fr_female$Type: Predicted Year: 1974 Ex: 19.907847","Age: 62 ex_fr_female$Type: Predicted Year: 1975 Ex: 19.930909","Age: 62 ex_fr_female$Type: Predicted Year: 1976 Ex: 20.129620","Age: 62 ex_fr_female$Type: Predicted Year: 1977 Ex: 20.630707","Age: 62 ex_fr_female$Type: Predicted Year: 1978 Ex: 20.636061","Age: 62 ex_fr_female$Type: Predicted Year: 1979 Ex: 20.889103","Age: 62 ex_fr_female$Type: Predicted Year: 1980 Ex: 20.973714","Age: 62 ex_fr_female$Type: Predicted Year: 1981 Ex: 20.947656","Age: 62 ex_fr_female$Type: Predicted Year: 1982 Ex: 21.268765","Age: 62 ex_fr_female$Type: Predicted Year: 1983 Ex: 21.158300","Age: 62 ex_fr_female$Type: Predicted Year: 1984 Ex: 21.570808","Age: 62 ex_fr_female$Type: Predicted Year: 1985 Ex: 21.570077","Age: 62 ex_fr_female$Type: Predicted Year: 1986 Ex: 21.777817","Age: 62 ex_fr_female$Type: Predicted Year: 1987 Ex: 22.246869","Age: 62 ex_fr_female$Type: Predicted Year: 1988 Ex: 22.439565","Age: 62 ex_fr_female$Type: Predicted Year: 1989 Ex: 22.564054","Age: 62 ex_fr_female$Type: Predicted Year: 1990 Ex: 22.761683","Age: 62 ex_fr_female$Type: Predicted Year: 1991 Ex: 22.966023","Age: 62 ex_fr_female$Type: Predicted Year: 1992 Ex: 23.187466","Age: 62 ex_fr_female$Type: Predicted Year: 1993 Ex: 23.180993","Age: 62 ex_fr_female$Type: Predicted Year: 1994 Ex: 23.535028","Age: 62 ex_fr_female$Type: Predicted Year: 1995 Ex: 23.484856","Age: 62 ex_fr_female$Type: Predicted Year: 1996 Ex: 23.550584","Age: 62 ex_fr_female$Type: Predicted Year: 1997 Ex: 23.717539","Age: 62 ex_fr_female$Type: Predicted Year: 1998 Ex: 23.790238","Age: 62 ex_fr_female$Type: Predicted Year: 1999 Ex: 23.855729","Age: 62 ex_fr_female$Type: Predicted Year: 2000 Ex: 24.088975","Age: 62 ex_fr_female$Type: Predicted Year: 2001 Ex: 24.243217","Age: 62 ex_fr_female$Type: Predicted Year: 2002 Ex: 24.285728","Age: 62 ex_fr_female$Type: Predicted Year: 2003 Ex: 24.129178","Age: 62 ex_fr_female$Type: Predicted Year: 2004 Ex: 25.007246","Age: 62 ex_fr_female$Type: Predicted Year: 2005 Ex: 24.878052","Age: 62 ex_fr_female$Type: Predicted Year: 2006 Ex: 25.218489","Age: 62 ex_fr_female$Type: Predicted Year: 2007 Ex: 25.346382","Age: 62 ex_fr_female$Type: Predicted Year: 2008 Ex: 25.325121","Age: 62 ex_fr_female$Type: Predicted Year: 2009 Ex: 25.421665","Age: 62 ex_fr_female$Type: Predicted Year: 2010 Ex: 25.584132","Age: 62 ex_fr_female$Type: Predicted Year: 2011 Ex: 25.880006","Age: 62 ex_fr_female$Type: Predicted Year: 2012 Ex: 25.679505","Age: 62 ex_fr_female$Type: Predicted Year: 2013 Ex: 25.861910","Age: 62 ex_fr_female$Type: Predicted Year: 2014 Ex: 26.200766","Age: 62 ex_fr_female$Type: Predicted Year: 2015 Ex: 25.904372","Age: 62 ex_fr_female$Type: Predicted Year: 2016 Ex: 26.059892","Age: 62 ex_fr_female$Type: Predicted Year: 2017 Ex: 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12.090000","Age: 63 ex_fr_female$Type: Observed Year: 1832 Ex: 10.820000","Age: 63 ex_fr_female$Type: Observed Year: 1833 Ex: 12.180000","Age: 63 ex_fr_female$Type: Observed Year: 1834 Ex: 11.840000","Age: 63 ex_fr_female$Type: Observed Year: 1835 Ex: 12.220000","Age: 63 ex_fr_female$Type: Observed Year: 1836 Ex: 12.430000","Age: 63 ex_fr_female$Type: Observed Year: 1837 Ex: 10.970000","Age: 63 ex_fr_female$Type: Observed Year: 1838 Ex: 12.010000","Age: 63 ex_fr_female$Type: Observed Year: 1839 Ex: 12.520000","Age: 63 ex_fr_female$Type: Observed Year: 1840 Ex: 12.040000","Age: 63 ex_fr_female$Type: Observed Year: 1841 Ex: 12.600000","Age: 63 ex_fr_female$Type: Observed Year: 1842 Ex: 12.010000","Age: 63 ex_fr_female$Type: Observed Year: 1843 Ex: 12.300000","Age: 63 ex_fr_female$Type: Observed Year: 1844 Ex: 12.420000","Age: 63 ex_fr_female$Type: Observed Year: 1845 Ex: 12.640000","Age: 63 ex_fr_female$Type: Observed Year: 1846 Ex: 12.430000","Age: 63 ex_fr_female$Type: Observed Year: 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12.520000","Age: 63 ex_fr_female$Type: Observed Year: 1895 Ex: 12.090000","Age: 63 ex_fr_female$Type: Observed Year: 1896 Ex: 12.900000","Age: 63 ex_fr_female$Type: Observed Year: 1897 Ex: 13.160000","Age: 63 ex_fr_female$Type: Observed Year: 1898 Ex: 12.580000","Age: 63 ex_fr_female$Type: Observed Year: 1899 Ex: 12.630000","Age: 63 ex_fr_female$Type: Observed Year: 1900 Ex: 12.080000","Age: 63 ex_fr_female$Type: Observed Year: 1901 Ex: 12.760000","Age: 63 ex_fr_female$Type: Observed Year: 1902 Ex: 12.980000","Age: 63 ex_fr_female$Type: Observed Year: 1903 Ex: 12.960000","Age: 63 ex_fr_female$Type: Observed Year: 1904 Ex: 12.910000","Age: 63 ex_fr_female$Type: Observed Year: 1905 Ex: 12.740000","Age: 63 ex_fr_female$Type: Observed Year: 1906 Ex: 12.810000","Age: 63 ex_fr_female$Type: Observed Year: 1907 Ex: 12.380000","Age: 63 ex_fr_female$Type: Observed Year: 1908 Ex: 12.940000","Age: 63 ex_fr_female$Type: Observed Year: 1909 Ex: 12.490000","Age: 63 ex_fr_female$Type: Observed Year: 1910 Ex: 13.230000","Age: 63 ex_fr_female$Type: Observed Year: 1911 Ex: 12.710000","Age: 63 ex_fr_female$Type: Observed Year: 1912 Ex: 13.380000","Age: 63 ex_fr_female$Type: Observed Year: 1913 Ex: 13.360000","Age: 63 ex_fr_female$Type: Observed Year: 1914 Ex: 12.800000","Age: 63 ex_fr_female$Type: Observed Year: 1915 Ex: 12.930000","Age: 63 ex_fr_female$Type: Observed Year: 1916 Ex: 13.050000","Age: 63 ex_fr_female$Type: Observed Year: 1917 Ex: 12.870000","Age: 63 ex_fr_female$Type: Observed Year: 1918 Ex: 12.820000","Age: 63 ex_fr_female$Type: Observed Year: 1919 Ex: 13.100000","Age: 63 ex_fr_female$Type: Observed Year: 1920 Ex: 13.830000","Age: 63 ex_fr_female$Type: Observed Year: 1921 Ex: 13.720000","Age: 63 ex_fr_female$Type: Observed Year: 1922 Ex: 13.310000","Age: 63 ex_fr_female$Type: Observed Year: 1923 Ex: 13.940000","Age: 63 ex_fr_female$Type: Observed Year: 1924 Ex: 13.690000","Age: 63 ex_fr_female$Type: Observed Year: 1925 Ex: 13.580000","Age: 63 ex_fr_female$Type: Observed Year: 1926 Ex: 13.670000","Age: 63 ex_fr_female$Type: Observed Year: 1927 Ex: 13.820000","Age: 63 ex_fr_female$Type: Observed Year: 1928 Ex: 14.000000","Age: 63 ex_fr_female$Type: Observed Year: 1929 Ex: 13.190000","Age: 63 ex_fr_female$Type: Observed Year: 1930 Ex: 14.460000","Age: 63 ex_fr_female$Type: Observed Year: 1931 Ex: 13.830000","Age: 63 ex_fr_female$Type: Observed Year: 1932 Ex: 14.140000","Age: 63 ex_fr_female$Type: Observed Year: 1933 Ex: 14.130000","Age: 63 ex_fr_female$Type: Observed Year: 1934 Ex: 14.610000","Age: 63 ex_fr_female$Type: Observed Year: 1935 Ex: 14.250000","Age: 63 ex_fr_female$Type: Observed Year: 1936 Ex: 14.450000","Age: 63 ex_fr_female$Type: Observed Year: 1937 Ex: 14.710000","Age: 63 ex_fr_female$Type: Observed Year: 1938 Ex: 14.470000","Age: 63 ex_fr_female$Type: Observed Year: 1939 Ex: 14.380000","Age: 63 ex_fr_female$Type: Observed Year: 1940 Ex: 13.140000","Age: 63 ex_fr_female$Type: Observed Year: 1941 Ex: 14.140000","Age: 63 ex_fr_female$Type: Observed Year: 1942 Ex: 14.220000","Age: 63 ex_fr_female$Type: Observed Year: 1943 Ex: 14.450000","Age: 63 ex_fr_female$Type: Observed Year: 1944 Ex: 13.690000","Age: 63 ex_fr_female$Type: Observed Year: 1945 Ex: 14.560000","Age: 63 ex_fr_female$Type: Observed Year: 1946 Ex: 15.700000","Age: 63 ex_fr_female$Type: Observed Year: 1947 Ex: 15.910000","Age: 63 ex_fr_female$Type: Observed Year: 1948 Ex: 16.450000","Age: 63 ex_fr_female$Type: Observed Year: 1949 Ex: 15.380000","Age: 63 ex_fr_female$Type: Observed Year: 1950 Ex: 16.070000","Age: 63 ex_fr_female$Type: Observed Year: 1951 Ex: 15.640000","Age: 63 ex_fr_female$Type: Observed Year: 1952 Ex: 16.300000","Age: 63 ex_fr_female$Type: Observed Year: 1953 Ex: 15.810000","Age: 63 ex_fr_female$Type: Observed Year: 1954 Ex: 16.580000","Age: 63 ex_fr_female$Type: Observed Year: 1955 Ex: 16.550000","Age: 63 ex_fr_female$Type: Observed Year: 1956 Ex: 16.350000","Age: 63 ex_fr_female$Type: Observed Year: 1957 Ex: 16.700000","Age: 63 ex_fr_female$Type: Observed Year: 1958 Ex: 17.140000","Age: 63 ex_fr_female$Type: Observed Year: 1959 Ex: 17.210000","Age: 63 ex_fr_female$Type: Observed Year: 1960 Ex: 17.160000","Age: 63 ex_fr_female$Type: Observed Year: 1961 Ex: 17.690000","Age: 63 ex_fr_female$Type: Observed Year: 1962 Ex: 17.210000","Age: 63 ex_fr_female$Type: Observed Year: 1963 Ex: 17.140000","Age: 63 ex_fr_female$Type: Observed Year: 1964 Ex: 17.890000","Age: 63 ex_fr_female$Type: Observed Year: 1965 Ex: 17.700000","Age: 63 ex_fr_female$Type: Observed Year: 1966 Ex: 18.060000","Age: 63 ex_fr_female$Type: Observed Year: 1967 Ex: 18.010000","Age: 63 ex_fr_female$Type: Observed Year: 1968 Ex: 17.990000","Age: 63 ex_fr_female$Type: Observed Year: 1969 Ex: 17.820000","Age: 63 ex_fr_female$Type: Observed Year: 1970 Ex: 18.340000","Age: 63 ex_fr_female$Type: Observed Year: 1971 Ex: 18.360000","Age: 63 ex_fr_female$Type: Observed Year: 1972 Ex: 18.600000","Age: 63 ex_fr_female$Type: Observed Year: 1973 Ex: 18.530000","Age: 63 ex_fr_female$Type: Observed Year: 1974 Ex: 18.810000","Age: 63 ex_fr_female$Type: Observed Year: 1975 Ex: 18.830000","Age: 63 ex_fr_female$Type: Observed Year: 1976 Ex: 19.030000","Age: 63 ex_fr_female$Type: Observed Year: 1977 Ex: 19.520000","Age: 63 ex_fr_female$Type: Observed Year: 1978 Ex: 19.540000","Age: 63 ex_fr_female$Type: Observed Year: 1979 Ex: 19.790000","Age: 63 ex_fr_female$Type: Observed Year: 1980 Ex: 19.860000","Age: 63 ex_fr_female$Type: Observed Year: 1981 Ex: 19.840000","Age: 63 ex_fr_female$Type: Observed Year: 1982 Ex: 20.160000","Age: 63 ex_fr_female$Type: Observed Year: 1983 Ex: 20.050000","Age: 63 ex_fr_female$Type: Observed Year: 1984 Ex: 20.460000","Age: 63 ex_fr_female$Type: Observed Year: 1985 Ex: 20.450000","Age: 63 ex_fr_female$Type: Observed Year: 1986 Ex: 20.660000","Age: 63 ex_fr_female$Type: Observed Year: 1987 Ex: 21.130000","Age: 63 ex_fr_female$Type: Observed Year: 1988 Ex: 21.320000","Age: 63 ex_fr_female$Type: Observed Year: 1989 Ex: 21.440000","Age: 63 ex_fr_female$Type: Observed Year: 1990 Ex: 21.640000","Age: 63 ex_fr_female$Type: Observed Year: 1991 Ex: 21.840000","Age: 63 ex_fr_female$Type: Observed Year: 1992 Ex: 22.060000","Age: 63 ex_fr_female$Type: Observed Year: 1993 Ex: 22.060000","Age: 63 ex_fr_female$Type: Observed Year: 1994 Ex: 22.410000","Age: 63 ex_fr_female$Type: Observed Year: 1995 Ex: 22.360000","Age: 63 ex_fr_female$Type: Observed Year: 1996 Ex: 22.420000","Age: 63 ex_fr_female$Type: Observed Year: 1997 Ex: 22.580000","Age: 63 ex_fr_female$Type: Observed Year: 1998 Ex: 22.660000","Age: 63 ex_fr_female$Type: Observed Year: 1999 Ex: 22.720000","Age: 63 ex_fr_female$Type: Observed Year: 2000 Ex: 22.950000","Age: 63 ex_fr_female$Type: Observed Year: 2001 Ex: 23.110000","Age: 63 ex_fr_female$Type: Observed Year: 2002 Ex: 23.140000","Age: 63 ex_fr_female$Type: Observed Year: 2003 Ex: 22.990000","Age: 63 ex_fr_female$Type: Observed Year: 2004 Ex: 23.870000","Age: 63 ex_fr_female$Type: Observed Year: 2005 Ex: 23.740000","Age: 63 ex_fr_female$Type: Observed Year: 2006 Ex: 24.080000","Age: 63 ex_fr_female$Type: Observed Year: 2007 Ex: 24.210000","Age: 63 ex_fr_female$Type: Observed Year: 2008 Ex: 24.190000","Age: 63 ex_fr_female$Type: Observed Year: 2009 Ex: 24.280000","Age: 63 ex_fr_female$Type: Observed Year: 2010 Ex: 24.450000","Age: 63 ex_fr_female$Type: Observed Year: 2011 Ex: 24.740000","Age: 63 ex_fr_female$Type: Observed Year: 2012 Ex: 24.540000","Age: 63 ex_fr_female$Type: Observed Year: 2013 Ex: 24.730000","Age: 63 ex_fr_female$Type: Observed Year: 2014 Ex: 25.060000","Age: 63 ex_fr_female$Type: Observed Year: 2015 Ex: 24.760000","Age: 63 ex_fr_female$Type: Observed Year: 2016 Ex: 24.920000","Age: 63 ex_fr_female$Type: Observed Year: 2017 Ex: 24.890000"],"frame":"63","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[12.1710087223493,12.342450178486,12.3905561759138,12.5459109451431,12.0312517593632,12.8894630981177,12.8281046165961,12.898042793175,13.1045252896954,12.8814866445855,12.3419221783078,12.6369091118861,12.3652673336437,12.0829849796966,12.1625083667449,12.4140616326005,11.1561514553477,12.5099135038699,12.1723104661112,12.5497343321456,12.7581573598798,11.3058343863725,12.3361710263407,12.8488936694932,12.3629968666314,12.9218994783341,12.3410479129247,12.6223962473263,12.7427092658439,12.9674940521152,12.7529571807433,11.9031454866169,12.2086206016227,11.6871825986105,12.788002109689,12.6236730488905,12.6746266909889,12.3266231646374,11.3342802774933,11.7013954218662,12.6482963315453,12.3507771964622,11.8448277495818,12.018693954313,12.6979019983696,12.7265859661794,12.7970380474822,12.5795560697071,12.2492980124062,12.1301977740798,12.3139910876237,12.3682841173408,12.2865493594458,12.4140794651082,11.5555833438605,11.3595707618354,13.3783318579466,12.7496577717804,13.0560279573126,12.4963484486982,12.8741453595394,13.1696989963177,12.7149523810875,12.4948407557543,12.8107382112906,13.2261120064577,13.1981116491495,13.1257321697265,13.2125796441646,13.2245373366511,13.1462173019795,13.0954983250306,12.9153450688255,13.2553461349678,12.4889038167317,12.0928147956331,12.2468400841746,12.3413336109085,12.8330447800688,12.4034299063232,13.2052905677686,13.4699898216281,12.8943466074662,12.9400583976536,12.3885782984845,13.0658869965019,13.2875063958448,13.2673999394456,13.2196111972774,13.0418334189602,13.1156847682362,12.6926519230178,13.2529399610799,12.8046155386699,13.5318989337905,13.0141385085624,13.6861638066657,13.6687121102803,13.1076173806212,13.2391578379416,13.3587265303436,13.1731313310237,13.1264850792405,13.3969577204161,14.1281769928049,14.0256093435765,13.6148631600902,14.2369767994763,13.9944326752608,13.8758224641133,13.9724168116531,14.1217204193585,14.293914411324,13.4870490003228,14.7564060092521,14.1329330206129,14.4346055895948,14.4240046673745,14.9082859391588,14.5501300439665,14.7451838691418,15.0034711276186,14.7650582022546,14.6724639827458,13.4378441023324,14.4318028916205,14.5084450627066,14.74143018575,13.9806271506869,14.8494170363692,15.9873343835217,16.1985585386654,16.7430019563831,15.6754156639102,16.3564264173754,15.9249905287712,16.5887155525261,16.0982365098194,16.8673725321569,16.8367573652714,16.636255680711,16.9849718598364,17.4249130504432,17.4921521432399,17.4452213791625,17.9748602447905,17.4944043052105,17.4205943245029,18.1735950883455,17.9777420560345,18.3396028975937,18.2919077063013,18.2659362902988,18.0990359729602,18.6245542647213,18.6385089327678,18.8753413766943,18.8133211806796,19.0932978509268,19.1093233297649,19.3086697279987,19.8021425121494,19.8189178063794,20.0676745262,20.1393994176467,20.1191097737431,20.4385140838276,20.3211070041153,20.7307081356313,20.7267872199181,20.9352141248205,21.3996312957379,21.5890420195183,21.7114911056882,21.9073039030982,22.1138850028148,22.3292507844626,22.3266176249512,22.677594384939,22.6287308667575,22.6895350664072,22.8502569704112,22.9268856619255,22.9852440307489,23.2219187971961,23.3763138548498,23.4106929348848,23.2580709748328,24.133784248263,24.009069368695,24.3463660186616,24.4761694098108,24.4533004836696,24.5478379977332,24.7126402267848,25.0044181335213,24.8059708108386,24.9920960180247,25.3270095022237,25.0278828128347,25.1874983792336,25.1523556724222],"text":["Age: 63 ex_fr_female$Type: Predicted Year: 1816 Ex: 12.171009","Age: 63 ex_fr_female$Type: Predicted Year: 1817 Ex: 12.342450","Age: 63 ex_fr_female$Type: Predicted Year: 1818 Ex: 12.390556","Age: 63 ex_fr_female$Type: Predicted Year: 1819 Ex: 12.545911","Age: 63 ex_fr_female$Type: Predicted Year: 1820 Ex: 12.031252","Age: 63 ex_fr_female$Type: Predicted Year: 1821 Ex: 12.889463","Age: 63 ex_fr_female$Type: Predicted Year: 1822 Ex: 12.828105","Age: 63 ex_fr_female$Type: Predicted Year: 1823 Ex: 12.898043","Age: 63 ex_fr_female$Type: Predicted Year: 1824 Ex: 13.104525","Age: 63 ex_fr_female$Type: Predicted Year: 1825 Ex: 12.881487","Age: 63 ex_fr_female$Type: Predicted Year: 1826 Ex: 12.341922","Age: 63 ex_fr_female$Type: Predicted Year: 1827 Ex: 12.636909","Age: 63 ex_fr_female$Type: Predicted Year: 1828 Ex: 12.365267","Age: 63 ex_fr_female$Type: Predicted Year: 1829 Ex: 12.082985","Age: 63 ex_fr_female$Type: Predicted Year: 1830 Ex: 12.162508","Age: 63 ex_fr_female$Type: Predicted Year: 1831 Ex: 12.414062","Age: 63 ex_fr_female$Type: Predicted Year: 1832 Ex: 11.156151","Age: 63 ex_fr_female$Type: Predicted Year: 1833 Ex: 12.509914","Age: 63 ex_fr_female$Type: Predicted Year: 1834 Ex: 12.172310","Age: 63 ex_fr_female$Type: Predicted Year: 1835 Ex: 12.549734","Age: 63 ex_fr_female$Type: Predicted Year: 1836 Ex: 12.758157","Age: 63 ex_fr_female$Type: Predicted Year: 1837 Ex: 11.305834","Age: 63 ex_fr_female$Type: Predicted Year: 1838 Ex: 12.336171","Age: 63 ex_fr_female$Type: Predicted Year: 1839 Ex: 12.848894","Age: 63 ex_fr_female$Type: Predicted Year: 1840 Ex: 12.362997","Age: 63 ex_fr_female$Type: Predicted Year: 1841 Ex: 12.921899","Age: 63 ex_fr_female$Type: Predicted Year: 1842 Ex: 12.341048","Age: 63 ex_fr_female$Type: Predicted Year: 1843 Ex: 12.622396","Age: 63 ex_fr_female$Type: Predicted Year: 1844 Ex: 12.742709","Age: 63 ex_fr_female$Type: Predicted Year: 1845 Ex: 12.967494","Age: 63 ex_fr_female$Type: Predicted Year: 1846 Ex: 12.752957","Age: 63 ex_fr_female$Type: Predicted Year: 1847 Ex: 11.903145","Age: 63 ex_fr_female$Type: Predicted Year: 1848 Ex: 12.208621","Age: 63 ex_fr_female$Type: Predicted Year: 1849 Ex: 11.687183","Age: 63 ex_fr_female$Type: Predicted Year: 1850 Ex: 12.788002","Age: 63 ex_fr_female$Type: Predicted Year: 1851 Ex: 12.623673","Age: 63 ex_fr_female$Type: Predicted Year: 1852 Ex: 12.674627","Age: 63 ex_fr_female$Type: Predicted Year: 1853 Ex: 12.326623","Age: 63 ex_fr_female$Type: Predicted Year: 1854 Ex: 11.334280","Age: 63 ex_fr_female$Type: Predicted Year: 1855 Ex: 11.701395","Age: 63 ex_fr_female$Type: Predicted Year: 1856 Ex: 12.648296","Age: 63 ex_fr_female$Type: Predicted Year: 1857 Ex: 12.350777","Age: 63 ex_fr_female$Type: Predicted Year: 1858 Ex: 11.844828","Age: 63 ex_fr_female$Type: Predicted Year: 1859 Ex: 12.018694","Age: 63 ex_fr_female$Type: Predicted Year: 1860 Ex: 12.697902","Age: 63 ex_fr_female$Type: Predicted Year: 1861 Ex: 12.726586","Age: 63 ex_fr_female$Type: Predicted Year: 1862 Ex: 12.797038","Age: 63 ex_fr_female$Type: Predicted Year: 1863 Ex: 12.579556","Age: 63 ex_fr_female$Type: Predicted Year: 1864 Ex: 12.249298","Age: 63 ex_fr_female$Type: Predicted Year: 1865 Ex: 12.130198","Age: 63 ex_fr_female$Type: Predicted Year: 1866 Ex: 12.313991","Age: 63 ex_fr_female$Type: Predicted Year: 1867 Ex: 12.368284","Age: 63 ex_fr_female$Type: Predicted Year: 1868 Ex: 12.286549","Age: 63 ex_fr_female$Type: Predicted Year: 1869 Ex: 12.414079","Age: 63 ex_fr_female$Type: Predicted Year: 1870 Ex: 11.555583","Age: 63 ex_fr_female$Type: Predicted Year: 1871 Ex: 11.359571","Age: 63 ex_fr_female$Type: Predicted Year: 1872 Ex: 13.378332","Age: 63 ex_fr_female$Type: Predicted Year: 1873 Ex: 12.749658","Age: 63 ex_fr_female$Type: Predicted Year: 1874 Ex: 13.056028","Age: 63 ex_fr_female$Type: Predicted Year: 1875 Ex: 12.496348","Age: 63 ex_fr_female$Type: Predicted Year: 1876 Ex: 12.874145","Age: 63 ex_fr_female$Type: Predicted Year: 1877 Ex: 13.169699","Age: 63 ex_fr_female$Type: Predicted Year: 1878 Ex: 12.714952","Age: 63 ex_fr_female$Type: Predicted Year: 1879 Ex: 12.494841","Age: 63 ex_fr_female$Type: Predicted Year: 1880 Ex: 12.810738","Age: 63 ex_fr_female$Type: Predicted Year: 1881 Ex: 13.226112","Age: 63 ex_fr_female$Type: Predicted Year: 1882 Ex: 13.198112","Age: 63 ex_fr_female$Type: Predicted Year: 1883 Ex: 13.125732","Age: 63 ex_fr_female$Type: Predicted Year: 1884 Ex: 13.212580","Age: 63 ex_fr_female$Type: Predicted Year: 1885 Ex: 13.224537","Age: 63 ex_fr_female$Type: Predicted Year: 1886 Ex: 13.146217","Age: 63 ex_fr_female$Type: Predicted Year: 1887 Ex: 13.095498","Age: 63 ex_fr_female$Type: Predicted Year: 1888 Ex: 12.915345","Age: 63 ex_fr_female$Type: Predicted Year: 1889 Ex: 13.255346","Age: 63 ex_fr_female$Type: Predicted Year: 1890 Ex: 12.488904","Age: 63 ex_fr_female$Type: Predicted Year: 1891 Ex: 12.092815","Age: 63 ex_fr_female$Type: Predicted Year: 1892 Ex: 12.246840","Age: 63 ex_fr_female$Type: Predicted Year: 1893 Ex: 12.341334","Age: 63 ex_fr_female$Type: Predicted Year: 1894 Ex: 12.833045","Age: 63 ex_fr_female$Type: Predicted Year: 1895 Ex: 12.403430","Age: 63 ex_fr_female$Type: Predicted Year: 1896 Ex: 13.205291","Age: 63 ex_fr_female$Type: Predicted Year: 1897 Ex: 13.469990","Age: 63 ex_fr_female$Type: Predicted Year: 1898 Ex: 12.894347","Age: 63 ex_fr_female$Type: Predicted Year: 1899 Ex: 12.940058","Age: 63 ex_fr_female$Type: Predicted Year: 1900 Ex: 12.388578","Age: 63 ex_fr_female$Type: Predicted Year: 1901 Ex: 13.065887","Age: 63 ex_fr_female$Type: Predicted Year: 1902 Ex: 13.287506","Age: 63 ex_fr_female$Type: Predicted Year: 1903 Ex: 13.267400","Age: 63 ex_fr_female$Type: Predicted Year: 1904 Ex: 13.219611","Age: 63 ex_fr_female$Type: Predicted Year: 1905 Ex: 13.041833","Age: 63 ex_fr_female$Type: Predicted Year: 1906 Ex: 13.115685","Age: 63 ex_fr_female$Type: Predicted Year: 1907 Ex: 12.692652","Age: 63 ex_fr_female$Type: Predicted Year: 1908 Ex: 13.252940","Age: 63 ex_fr_female$Type: Predicted Year: 1909 Ex: 12.804616","Age: 63 ex_fr_female$Type: Predicted Year: 1910 Ex: 13.531899","Age: 63 ex_fr_female$Type: Predicted Year: 1911 Ex: 13.014139","Age: 63 ex_fr_female$Type: Predicted Year: 1912 Ex: 13.686164","Age: 63 ex_fr_female$Type: Predicted Year: 1913 Ex: 13.668712","Age: 63 ex_fr_female$Type: Predicted Year: 1914 Ex: 13.107617","Age: 63 ex_fr_female$Type: Predicted Year: 1915 Ex: 13.239158","Age: 63 ex_fr_female$Type: Predicted Year: 1916 Ex: 13.358727","Age: 63 ex_fr_female$Type: Predicted Year: 1917 Ex: 13.173131","Age: 63 ex_fr_female$Type: Predicted Year: 1918 Ex: 13.126485","Age: 63 ex_fr_female$Type: Predicted Year: 1919 Ex: 13.396958","Age: 63 ex_fr_female$Type: Predicted Year: 1920 Ex: 14.128177","Age: 63 ex_fr_female$Type: Predicted Year: 1921 Ex: 14.025609","Age: 63 ex_fr_female$Type: Predicted Year: 1922 Ex: 13.614863","Age: 63 ex_fr_female$Type: Predicted Year: 1923 Ex: 14.236977","Age: 63 ex_fr_female$Type: Predicted Year: 1924 Ex: 13.994433","Age: 63 ex_fr_female$Type: Predicted Year: 1925 Ex: 13.875822","Age: 63 ex_fr_female$Type: Predicted Year: 1926 Ex: 13.972417","Age: 63 ex_fr_female$Type: Predicted Year: 1927 Ex: 14.121720","Age: 63 ex_fr_female$Type: Predicted Year: 1928 Ex: 14.293914","Age: 63 ex_fr_female$Type: Predicted Year: 1929 Ex: 13.487049","Age: 63 ex_fr_female$Type: Predicted Year: 1930 Ex: 14.756406","Age: 63 ex_fr_female$Type: Predicted Year: 1931 Ex: 14.132933","Age: 63 ex_fr_female$Type: Predicted Year: 1932 Ex: 14.434606","Age: 63 ex_fr_female$Type: Predicted Year: 1933 Ex: 14.424005","Age: 63 ex_fr_female$Type: Predicted Year: 1934 Ex: 14.908286","Age: 63 ex_fr_female$Type: Predicted Year: 1935 Ex: 14.550130","Age: 63 ex_fr_female$Type: Predicted Year: 1936 Ex: 14.745184","Age: 63 ex_fr_female$Type: Predicted Year: 1937 Ex: 15.003471","Age: 63 ex_fr_female$Type: Predicted Year: 1938 Ex: 14.765058","Age: 63 ex_fr_female$Type: Predicted Year: 1939 Ex: 14.672464","Age: 63 ex_fr_female$Type: Predicted Year: 1940 Ex: 13.437844","Age: 63 ex_fr_female$Type: Predicted Year: 1941 Ex: 14.431803","Age: 63 ex_fr_female$Type: Predicted Year: 1942 Ex: 14.508445","Age: 63 ex_fr_female$Type: Predicted Year: 1943 Ex: 14.741430","Age: 63 ex_fr_female$Type: Predicted Year: 1944 Ex: 13.980627","Age: 63 ex_fr_female$Type: Predicted Year: 1945 Ex: 14.849417","Age: 63 ex_fr_female$Type: Predicted Year: 1946 Ex: 15.987334","Age: 63 ex_fr_female$Type: Predicted Year: 1947 Ex: 16.198559","Age: 63 ex_fr_female$Type: Predicted Year: 1948 Ex: 16.743002","Age: 63 ex_fr_female$Type: Predicted Year: 1949 Ex: 15.675416","Age: 63 ex_fr_female$Type: Predicted Year: 1950 Ex: 16.356426","Age: 63 ex_fr_female$Type: Predicted Year: 1951 Ex: 15.924991","Age: 63 ex_fr_female$Type: Predicted Year: 1952 Ex: 16.588716","Age: 63 ex_fr_female$Type: Predicted Year: 1953 Ex: 16.098237","Age: 63 ex_fr_female$Type: Predicted Year: 1954 Ex: 16.867373","Age: 63 ex_fr_female$Type: Predicted Year: 1955 Ex: 16.836757","Age: 63 ex_fr_female$Type: Predicted Year: 1956 Ex: 16.636256","Age: 63 ex_fr_female$Type: Predicted Year: 1957 Ex: 16.984972","Age: 63 ex_fr_female$Type: Predicted Year: 1958 Ex: 17.424913","Age: 63 ex_fr_female$Type: Predicted Year: 1959 Ex: 17.492152","Age: 63 ex_fr_female$Type: Predicted Year: 1960 Ex: 17.445221","Age: 63 ex_fr_female$Type: Predicted Year: 1961 Ex: 17.974860","Age: 63 ex_fr_female$Type: Predicted Year: 1962 Ex: 17.494404","Age: 63 ex_fr_female$Type: Predicted Year: 1963 Ex: 17.420594","Age: 63 ex_fr_female$Type: Predicted Year: 1964 Ex: 18.173595","Age: 63 ex_fr_female$Type: Predicted Year: 1965 Ex: 17.977742","Age: 63 ex_fr_female$Type: Predicted Year: 1966 Ex: 18.339603","Age: 63 ex_fr_female$Type: Predicted Year: 1967 Ex: 18.291908","Age: 63 ex_fr_female$Type: Predicted Year: 1968 Ex: 18.265936","Age: 63 ex_fr_female$Type: Predicted Year: 1969 Ex: 18.099036","Age: 63 ex_fr_female$Type: Predicted Year: 1970 Ex: 18.624554","Age: 63 ex_fr_female$Type: Predicted Year: 1971 Ex: 18.638509","Age: 63 ex_fr_female$Type: Predicted Year: 1972 Ex: 18.875341","Age: 63 ex_fr_female$Type: Predicted Year: 1973 Ex: 18.813321","Age: 63 ex_fr_female$Type: Predicted Year: 1974 Ex: 19.093298","Age: 63 ex_fr_female$Type: Predicted Year: 1975 Ex: 19.109323","Age: 63 ex_fr_female$Type: Predicted Year: 1976 Ex: 19.308670","Age: 63 ex_fr_female$Type: Predicted Year: 1977 Ex: 19.802143","Age: 63 ex_fr_female$Type: Predicted Year: 1978 Ex: 19.818918","Age: 63 ex_fr_female$Type: Predicted Year: 1979 Ex: 20.067675","Age: 63 ex_fr_female$Type: Predicted Year: 1980 Ex: 20.139399","Age: 63 ex_fr_female$Type: Predicted Year: 1981 Ex: 20.119110","Age: 63 ex_fr_female$Type: Predicted Year: 1982 Ex: 20.438514","Age: 63 ex_fr_female$Type: Predicted Year: 1983 Ex: 20.321107","Age: 63 ex_fr_female$Type: Predicted Year: 1984 Ex: 20.730708","Age: 63 ex_fr_female$Type: Predicted Year: 1985 Ex: 20.726787","Age: 63 ex_fr_female$Type: Predicted Year: 1986 Ex: 20.935214","Age: 63 ex_fr_female$Type: Predicted Year: 1987 Ex: 21.399631","Age: 63 ex_fr_female$Type: Predicted Year: 1988 Ex: 21.589042","Age: 63 ex_fr_female$Type: Predicted Year: 1989 Ex: 21.711491","Age: 63 ex_fr_female$Type: Predicted Year: 1990 Ex: 21.907304","Age: 63 ex_fr_female$Type: Predicted Year: 1991 Ex: 22.113885","Age: 63 ex_fr_female$Type: Predicted Year: 1992 Ex: 22.329251","Age: 63 ex_fr_female$Type: Predicted Year: 1993 Ex: 22.326618","Age: 63 ex_fr_female$Type: Predicted Year: 1994 Ex: 22.677594","Age: 63 ex_fr_female$Type: Predicted Year: 1995 Ex: 22.628731","Age: 63 ex_fr_female$Type: Predicted Year: 1996 Ex: 22.689535","Age: 63 ex_fr_female$Type: Predicted Year: 1997 Ex: 22.850257","Age: 63 ex_fr_female$Type: Predicted Year: 1998 Ex: 22.926886","Age: 63 ex_fr_female$Type: Predicted Year: 1999 Ex: 22.985244","Age: 63 ex_fr_female$Type: Predicted Year: 2000 Ex: 23.221919","Age: 63 ex_fr_female$Type: Predicted Year: 2001 Ex: 23.376314","Age: 63 ex_fr_female$Type: Predicted Year: 2002 Ex: 23.410693","Age: 63 ex_fr_female$Type: Predicted Year: 2003 Ex: 23.258071","Age: 63 ex_fr_female$Type: Predicted Year: 2004 Ex: 24.133784","Age: 63 ex_fr_female$Type: Predicted Year: 2005 Ex: 24.009069","Age: 63 ex_fr_female$Type: Predicted Year: 2006 Ex: 24.346366","Age: 63 ex_fr_female$Type: Predicted Year: 2007 Ex: 24.476169","Age: 63 ex_fr_female$Type: Predicted Year: 2008 Ex: 24.453300","Age: 63 ex_fr_female$Type: Predicted Year: 2009 Ex: 24.547838","Age: 63 ex_fr_female$Type: Predicted Year: 2010 Ex: 24.712640","Age: 63 ex_fr_female$Type: Predicted Year: 2011 Ex: 25.004418","Age: 63 ex_fr_female$Type: Predicted Year: 2012 Ex: 24.805971","Age: 63 ex_fr_female$Type: Predicted Year: 2013 Ex: 24.992096","Age: 63 ex_fr_female$Type: Predicted Year: 2014 Ex: 25.327010","Age: 63 ex_fr_female$Type: Predicted Year: 2015 Ex: 25.027883","Age: 63 ex_fr_female$Type: Predicted Year: 2016 Ex: 25.187498","Age: 63 ex_fr_female$Type: Predicted Year: 2017 Ex: 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11.920000","Age: 64 ex_fr_female$Type: Observed Year: 1895 Ex: 11.490000","Age: 64 ex_fr_female$Type: Observed Year: 1896 Ex: 12.290000","Age: 64 ex_fr_female$Type: Observed Year: 1897 Ex: 12.540000","Age: 64 ex_fr_female$Type: Observed Year: 1898 Ex: 11.960000","Age: 64 ex_fr_female$Type: Observed Year: 1899 Ex: 12.020000","Age: 64 ex_fr_female$Type: Observed Year: 1900 Ex: 11.480000","Age: 64 ex_fr_female$Type: Observed Year: 1901 Ex: 12.150000","Age: 64 ex_fr_female$Type: Observed Year: 1902 Ex: 12.360000","Age: 64 ex_fr_female$Type: Observed Year: 1903 Ex: 12.340000","Age: 64 ex_fr_female$Type: Observed Year: 1904 Ex: 12.290000","Age: 64 ex_fr_female$Type: Observed Year: 1905 Ex: 12.130000","Age: 64 ex_fr_female$Type: Observed Year: 1906 Ex: 12.200000","Age: 64 ex_fr_female$Type: Observed Year: 1907 Ex: 11.780000","Age: 64 ex_fr_female$Type: Observed Year: 1908 Ex: 12.320000","Age: 64 ex_fr_female$Type: Observed Year: 1909 Ex: 11.870000","Age: 64 ex_fr_female$Type: Observed Year: 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Observed Year: 1926 Ex: 13.030000","Age: 64 ex_fr_female$Type: Observed Year: 1927 Ex: 13.170000","Age: 64 ex_fr_female$Type: Observed Year: 1928 Ex: 13.340000","Age: 64 ex_fr_female$Type: Observed Year: 1929 Ex: 12.530000","Age: 64 ex_fr_female$Type: Observed Year: 1930 Ex: 13.800000","Age: 64 ex_fr_female$Type: Observed Year: 1931 Ex: 13.160000","Age: 64 ex_fr_female$Type: Observed Year: 1932 Ex: 13.480000","Age: 64 ex_fr_female$Type: Observed Year: 1933 Ex: 13.460000","Age: 64 ex_fr_female$Type: Observed Year: 1934 Ex: 13.930000","Age: 64 ex_fr_female$Type: Observed Year: 1935 Ex: 13.590000","Age: 64 ex_fr_female$Type: Observed Year: 1936 Ex: 13.790000","Age: 64 ex_fr_female$Type: Observed Year: 1937 Ex: 14.040000","Age: 64 ex_fr_female$Type: Observed Year: 1938 Ex: 13.810000","Age: 64 ex_fr_female$Type: Observed Year: 1939 Ex: 13.690000","Age: 64 ex_fr_female$Type: Observed Year: 1940 Ex: 12.490000","Age: 64 ex_fr_female$Type: Observed Year: 1941 Ex: 13.470000","Age: 64 ex_fr_female$Type: Observed Year: 1942 Ex: 13.540000","Age: 64 ex_fr_female$Type: Observed Year: 1943 Ex: 13.760000","Age: 64 ex_fr_female$Type: Observed Year: 1944 Ex: 13.020000","Age: 64 ex_fr_female$Type: Observed Year: 1945 Ex: 13.850000","Age: 64 ex_fr_female$Type: Observed Year: 1946 Ex: 14.980000","Age: 64 ex_fr_female$Type: Observed Year: 1947 Ex: 15.180000","Age: 64 ex_fr_female$Type: Observed Year: 1948 Ex: 15.710000","Age: 64 ex_fr_female$Type: Observed Year: 1949 Ex: 14.660000","Age: 64 ex_fr_female$Type: Observed Year: 1950 Ex: 15.340000","Age: 64 ex_fr_female$Type: Observed Year: 1951 Ex: 14.910000","Age: 64 ex_fr_female$Type: Observed Year: 1952 Ex: 15.560000","Age: 64 ex_fr_female$Type: Observed Year: 1953 Ex: 15.070000","Age: 64 ex_fr_female$Type: Observed Year: 1954 Ex: 15.830000","Age: 64 ex_fr_female$Type: Observed Year: 1955 Ex: 15.800000","Age: 64 ex_fr_female$Type: Observed Year: 1956 Ex: 15.600000","Age: 64 ex_fr_female$Type: Observed Year: 1957 Ex: 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1973 Ex: 17.730000","Age: 64 ex_fr_female$Type: Observed Year: 1974 Ex: 18.000000","Age: 64 ex_fr_female$Type: Observed Year: 1975 Ex: 18.020000","Age: 64 ex_fr_female$Type: Observed Year: 1976 Ex: 18.220000","Age: 64 ex_fr_female$Type: Observed Year: 1977 Ex: 18.710000","Age: 64 ex_fr_female$Type: Observed Year: 1978 Ex: 18.720000","Age: 64 ex_fr_female$Type: Observed Year: 1979 Ex: 18.960000","Age: 64 ex_fr_female$Type: Observed Year: 1980 Ex: 19.040000","Age: 64 ex_fr_female$Type: Observed Year: 1981 Ex: 19.010000","Age: 64 ex_fr_female$Type: Observed Year: 1982 Ex: 19.340000","Age: 64 ex_fr_female$Type: Observed Year: 1983 Ex: 19.220000","Age: 64 ex_fr_female$Type: Observed Year: 1984 Ex: 19.620000","Age: 64 ex_fr_female$Type: Observed Year: 1985 Ex: 19.610000","Age: 64 ex_fr_female$Type: Observed Year: 1986 Ex: 19.820000","Age: 64 ex_fr_female$Type: Observed Year: 1987 Ex: 20.290000","Age: 64 ex_fr_female$Type: Observed Year: 1988 Ex: 20.470000","Age: 64 ex_fr_female$Type: Observed Year: 1989 Ex: 20.600000","Age: 64 ex_fr_female$Type: Observed Year: 1990 Ex: 20.790000","Age: 64 ex_fr_female$Type: Observed Year: 1991 Ex: 21.000000","Age: 64 ex_fr_female$Type: Observed Year: 1992 Ex: 21.210000","Age: 64 ex_fr_female$Type: Observed Year: 1993 Ex: 21.210000","Age: 64 ex_fr_female$Type: Observed Year: 1994 Ex: 21.550000","Age: 64 ex_fr_female$Type: Observed Year: 1995 Ex: 21.500000","Age: 64 ex_fr_female$Type: Observed Year: 1996 Ex: 21.560000","Age: 64 ex_fr_female$Type: Observed Year: 1997 Ex: 21.720000","Age: 64 ex_fr_female$Type: Observed Year: 1998 Ex: 21.790000","Age: 64 ex_fr_female$Type: Observed Year: 1999 Ex: 21.850000","Age: 64 ex_fr_female$Type: Observed Year: 2000 Ex: 22.080000","Age: 64 ex_fr_female$Type: Observed Year: 2001 Ex: 22.240000","Age: 64 ex_fr_female$Type: Observed Year: 2002 Ex: 22.270000","Age: 64 ex_fr_female$Type: Observed Year: 2003 Ex: 22.120000","Age: 64 ex_fr_female$Type: Observed Year: 2004 Ex: 23.000000","Age: 64 ex_fr_female$Type: Observed Year: 2005 Ex: 22.870000","Age: 64 ex_fr_female$Type: Observed Year: 2006 Ex: 23.220000","Age: 64 ex_fr_female$Type: Observed Year: 2007 Ex: 23.340000","Age: 64 ex_fr_female$Type: Observed Year: 2008 Ex: 23.310000","Age: 64 ex_fr_female$Type: Observed Year: 2009 Ex: 23.410000","Age: 64 ex_fr_female$Type: Observed Year: 2010 Ex: 23.570000","Age: 64 ex_fr_female$Type: Observed Year: 2011 Ex: 23.870000","Age: 64 ex_fr_female$Type: Observed Year: 2012 Ex: 23.670000","Age: 64 ex_fr_female$Type: Observed Year: 2013 Ex: 23.850000","Age: 64 ex_fr_female$Type: Observed Year: 2014 Ex: 24.190000","Age: 64 ex_fr_female$Type: Observed Year: 2015 Ex: 23.890000","Age: 64 ex_fr_female$Type: Observed Year: 2016 Ex: 24.060000","Age: 64 ex_fr_female$Type: Observed Year: 2017 Ex: 24.020000"],"frame":"64","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[11.6764557314475,11.8655858367758,11.9032775364125,12.0623145573121,11.5413631459134,12.3655195204782,12.3093614035518,12.3721108760089,12.5706582468005,12.3613530267373,11.8188559383302,12.1214298044794,11.8642747529165,11.5663779581461,11.6340369114319,11.8755645296839,10.6961211104485,12.0026153335011,11.6703843610506,12.0238822643755,12.2108453795456,10.7972975244087,11.799454355546,12.3192869655624,11.8431252998027,12.3735497238389,11.8043990399504,12.0575028687426,12.1840373140408,12.3913674216492,12.1916073479809,11.373449079832,11.681769783194,11.1900235906505,12.2258699399174,12.0569412326021,12.1194321058034,11.7680373451772,10.8500663362632,11.1730668335734,12.0903764134992,11.7993661083491,11.2871104071383,11.475898727909,12.1565916791889,12.1797568741593,12.2454233182354,12.0368049761336,11.7069827564961,11.5822760882654,11.7554241633261,11.7994362486705,11.7147322228744,11.8444253403571,11.0115523199477,10.8482539444983,12.7995337150156,12.1775330014021,12.4829113274576,11.9396168593868,12.3076499660698,12.6028059418028,12.1452830565123,11.9288497357891,12.2359049794535,12.6528561920512,12.6363940381343,12.5521127852031,12.6378186968747,12.6466253559814,12.5783907166932,12.5303692986037,12.3401423675046,12.6727891124512,11.9545516432442,11.550550344751,11.6758943258178,11.7643890434933,12.2337372914826,11.8024640684981,12.6007684217835,12.8572637212437,12.2760557593591,12.3284351433793,11.8007647032337,12.4623403674643,12.6691997598645,12.6503344652754,12.5990159228071,12.4372690898977,12.51422994198,12.0895387059406,12.6364918940131,12.187621572397,12.9046543348787,12.3612741537832,13.0524832716385,13.0334638336748,12.4849802324256,12.607210117629,12.7353951771919,12.5287163943036,12.4906324042686,12.7486156826879,13.4726351280734,13.3814905355064,12.9721931975367,13.5857344854326,13.3346801296823,13.2421867688507,13.3360287644995,13.4731409792701,13.642137295854,12.8355603480958,14.101547128783,13.4660527792169,13.7786664420203,13.7616690383693,14.2339504305907,13.8886942471523,14.0894696319448,14.3342539781866,14.1098242993234,13.9888852785909,12.787692764131,13.7642341685601,13.8315206720832,14.0521125114529,13.3155512597833,14.1479448772701,15.2700574930453,15.476187689354,16.0036654287689,14.9499722667082,15.632490772726,15.1982526034723,15.8482109646636,15.3599687778125,16.118560411523,16.0894661306022,15.884388193471,16.2311029743578,16.6588984161615,16.7291345536156,16.6695258421425,17.2051131707955,16.724354363464,16.6522899374844,17.3998421491761,17.1935177348515,17.5602072308329,17.5074196570286,17.4769983191677,17.3211203531247,17.8323586684403,17.8396861788082,18.080260187367,18.0132896776403,18.2814798566846,18.2969156180884,18.4982715384499,18.9906756082143,18.9961084010162,19.2428027022527,19.3179438961416,19.2911354943382,19.6147484389277,19.4955037592589,19.8966709793159,19.8888435868371,20.0981164471914,20.5603379780565,20.7439808833427,20.867756946038,21.0589748671572,21.2691964343599,21.4784158894874,21.4797207776683,21.8231116938165,21.7745957948408,21.8328972986226,21.9903839733605,22.0614006379621,22.1212400803438,22.3531750675265,22.5100726715743,22.5414267152896,22.3927408697744,23.2641285083437,23.1377802682037,23.4833982934157,23.61225966409,23.5803494878443,23.6778061085998,23.84228186878,24.136853861548,23.9336686662687,24.1170788681099,24.456945625106,24.1597055496461,24.320178954488,24.2848473765936],"text":["Age: 64 ex_fr_female$Type: Predicted Year: 1816 Ex: 11.676456","Age: 64 ex_fr_female$Type: Predicted Year: 1817 Ex: 11.865586","Age: 64 ex_fr_female$Type: Predicted Year: 1818 Ex: 11.903278","Age: 64 ex_fr_female$Type: Predicted Year: 1819 Ex: 12.062315","Age: 64 ex_fr_female$Type: Predicted Year: 1820 Ex: 11.541363","Age: 64 ex_fr_female$Type: Predicted Year: 1821 Ex: 12.365520","Age: 64 ex_fr_female$Type: Predicted Year: 1822 Ex: 12.309361","Age: 64 ex_fr_female$Type: Predicted Year: 1823 Ex: 12.372111","Age: 64 ex_fr_female$Type: Predicted Year: 1824 Ex: 12.570658","Age: 64 ex_fr_female$Type: Predicted Year: 1825 Ex: 12.361353","Age: 64 ex_fr_female$Type: Predicted Year: 1826 Ex: 11.818856","Age: 64 ex_fr_female$Type: Predicted Year: 1827 Ex: 12.121430","Age: 64 ex_fr_female$Type: Predicted Year: 1828 Ex: 11.864275","Age: 64 ex_fr_female$Type: Predicted Year: 1829 Ex: 11.566378","Age: 64 ex_fr_female$Type: Predicted Year: 1830 Ex: 11.634037","Age: 64 ex_fr_female$Type: Predicted Year: 1831 Ex: 11.875565","Age: 64 ex_fr_female$Type: Predicted Year: 1832 Ex: 10.696121","Age: 64 ex_fr_female$Type: Predicted Year: 1833 Ex: 12.002615","Age: 64 ex_fr_female$Type: Predicted Year: 1834 Ex: 11.670384","Age: 64 ex_fr_female$Type: Predicted Year: 1835 Ex: 12.023882","Age: 64 ex_fr_female$Type: Predicted Year: 1836 Ex: 12.210845","Age: 64 ex_fr_female$Type: Predicted Year: 1837 Ex: 10.797298","Age: 64 ex_fr_female$Type: Predicted Year: 1838 Ex: 11.799454","Age: 64 ex_fr_female$Type: Predicted Year: 1839 Ex: 12.319287","Age: 64 ex_fr_female$Type: Predicted Year: 1840 Ex: 11.843125","Age: 64 ex_fr_female$Type: Predicted Year: 1841 Ex: 12.373550","Age: 64 ex_fr_female$Type: Predicted Year: 1842 Ex: 11.804399","Age: 64 ex_fr_female$Type: Predicted Year: 1843 Ex: 12.057503","Age: 64 ex_fr_female$Type: Predicted Year: 1844 Ex: 12.184037","Age: 64 ex_fr_female$Type: Predicted Year: 1845 Ex: 12.391367","Age: 64 ex_fr_female$Type: Predicted Year: 1846 Ex: 12.191607","Age: 64 ex_fr_female$Type: Predicted Year: 1847 Ex: 11.373449","Age: 64 ex_fr_female$Type: Predicted Year: 1848 Ex: 11.681770","Age: 64 ex_fr_female$Type: Predicted Year: 1849 Ex: 11.190024","Age: 64 ex_fr_female$Type: Predicted Year: 1850 Ex: 12.225870","Age: 64 ex_fr_female$Type: Predicted Year: 1851 Ex: 12.056941","Age: 64 ex_fr_female$Type: Predicted Year: 1852 Ex: 12.119432","Age: 64 ex_fr_female$Type: Predicted Year: 1853 Ex: 11.768037","Age: 64 ex_fr_female$Type: Predicted Year: 1854 Ex: 10.850066","Age: 64 ex_fr_female$Type: Predicted Year: 1855 Ex: 11.173067","Age: 64 ex_fr_female$Type: Predicted Year: 1856 Ex: 12.090376","Age: 64 ex_fr_female$Type: Predicted Year: 1857 Ex: 11.799366","Age: 64 ex_fr_female$Type: Predicted Year: 1858 Ex: 11.287110","Age: 64 ex_fr_female$Type: Predicted Year: 1859 Ex: 11.475899","Age: 64 ex_fr_female$Type: Predicted Year: 1860 Ex: 12.156592","Age: 64 ex_fr_female$Type: Predicted Year: 1861 Ex: 12.179757","Age: 64 ex_fr_female$Type: Predicted Year: 1862 Ex: 12.245423","Age: 64 ex_fr_female$Type: Predicted Year: 1863 Ex: 12.036805","Age: 64 ex_fr_female$Type: Predicted Year: 1864 Ex: 11.706983","Age: 64 ex_fr_female$Type: Predicted Year: 1865 Ex: 11.582276","Age: 64 ex_fr_female$Type: Predicted Year: 1866 Ex: 11.755424","Age: 64 ex_fr_female$Type: Predicted Year: 1867 Ex: 11.799436","Age: 64 ex_fr_female$Type: Predicted Year: 1868 Ex: 11.714732","Age: 64 ex_fr_female$Type: Predicted Year: 1869 Ex: 11.844425","Age: 64 ex_fr_female$Type: Predicted Year: 1870 Ex: 11.011552","Age: 64 ex_fr_female$Type: Predicted Year: 1871 Ex: 10.848254","Age: 64 ex_fr_female$Type: Predicted Year: 1872 Ex: 12.799534","Age: 64 ex_fr_female$Type: Predicted Year: 1873 Ex: 12.177533","Age: 64 ex_fr_female$Type: Predicted Year: 1874 Ex: 12.482911","Age: 64 ex_fr_female$Type: Predicted Year: 1875 Ex: 11.939617","Age: 64 ex_fr_female$Type: Predicted Year: 1876 Ex: 12.307650","Age: 64 ex_fr_female$Type: Predicted Year: 1877 Ex: 12.602806","Age: 64 ex_fr_female$Type: Predicted Year: 1878 Ex: 12.145283","Age: 64 ex_fr_female$Type: Predicted Year: 1879 Ex: 11.928850","Age: 64 ex_fr_female$Type: Predicted Year: 1880 Ex: 12.235905","Age: 64 ex_fr_female$Type: Predicted Year: 1881 Ex: 12.652856","Age: 64 ex_fr_female$Type: Predicted Year: 1882 Ex: 12.636394","Age: 64 ex_fr_female$Type: Predicted Year: 1883 Ex: 12.552113","Age: 64 ex_fr_female$Type: Predicted Year: 1884 Ex: 12.637819","Age: 64 ex_fr_female$Type: Predicted Year: 1885 Ex: 12.646625","Age: 64 ex_fr_female$Type: Predicted Year: 1886 Ex: 12.578391","Age: 64 ex_fr_female$Type: Predicted Year: 1887 Ex: 12.530369","Age: 64 ex_fr_female$Type: Predicted Year: 1888 Ex: 12.340142","Age: 64 ex_fr_female$Type: Predicted Year: 1889 Ex: 12.672789","Age: 64 ex_fr_female$Type: Predicted Year: 1890 Ex: 11.954552","Age: 64 ex_fr_female$Type: Predicted Year: 1891 Ex: 11.550550","Age: 64 ex_fr_female$Type: Predicted Year: 1892 Ex: 11.675894","Age: 64 ex_fr_female$Type: Predicted Year: 1893 Ex: 11.764389","Age: 64 ex_fr_female$Type: Predicted Year: 1894 Ex: 12.233737","Age: 64 ex_fr_female$Type: Predicted Year: 1895 Ex: 11.802464","Age: 64 ex_fr_female$Type: Predicted Year: 1896 Ex: 12.600768","Age: 64 ex_fr_female$Type: Predicted Year: 1897 Ex: 12.857264","Age: 64 ex_fr_female$Type: Predicted Year: 1898 Ex: 12.276056","Age: 64 ex_fr_female$Type: Predicted Year: 1899 Ex: 12.328435","Age: 64 ex_fr_female$Type: Predicted Year: 1900 Ex: 11.800765","Age: 64 ex_fr_female$Type: Predicted Year: 1901 Ex: 12.462340","Age: 64 ex_fr_female$Type: Predicted Year: 1902 Ex: 12.669200","Age: 64 ex_fr_female$Type: Predicted Year: 1903 Ex: 12.650334","Age: 64 ex_fr_female$Type: Predicted Year: 1904 Ex: 12.599016","Age: 64 ex_fr_female$Type: Predicted Year: 1905 Ex: 12.437269","Age: 64 ex_fr_female$Type: Predicted Year: 1906 Ex: 12.514230","Age: 64 ex_fr_female$Type: Predicted Year: 1907 Ex: 12.089539","Age: 64 ex_fr_female$Type: Predicted Year: 1908 Ex: 12.636492","Age: 64 ex_fr_female$Type: Predicted Year: 1909 Ex: 12.187622","Age: 64 ex_fr_female$Type: Predicted Year: 1910 Ex: 12.904654","Age: 64 ex_fr_female$Type: Predicted Year: 1911 Ex: 12.361274","Age: 64 ex_fr_female$Type: Predicted Year: 1912 Ex: 13.052483","Age: 64 ex_fr_female$Type: Predicted Year: 1913 Ex: 13.033464","Age: 64 ex_fr_female$Type: Predicted Year: 1914 Ex: 12.484980","Age: 64 ex_fr_female$Type: Predicted Year: 1915 Ex: 12.607210","Age: 64 ex_fr_female$Type: Predicted Year: 1916 Ex: 12.735395","Age: 64 ex_fr_female$Type: Predicted Year: 1917 Ex: 12.528716","Age: 64 ex_fr_female$Type: Predicted Year: 1918 Ex: 12.490632","Age: 64 ex_fr_female$Type: Predicted Year: 1919 Ex: 12.748616","Age: 64 ex_fr_female$Type: Predicted Year: 1920 Ex: 13.472635","Age: 64 ex_fr_female$Type: Predicted Year: 1921 Ex: 13.381491","Age: 64 ex_fr_female$Type: Predicted Year: 1922 Ex: 12.972193","Age: 64 ex_fr_female$Type: Predicted Year: 1923 Ex: 13.585734","Age: 64 ex_fr_female$Type: Predicted Year: 1924 Ex: 13.334680","Age: 64 ex_fr_female$Type: Predicted Year: 1925 Ex: 13.242187","Age: 64 ex_fr_female$Type: Predicted Year: 1926 Ex: 13.336029","Age: 64 ex_fr_female$Type: Predicted Year: 1927 Ex: 13.473141","Age: 64 ex_fr_female$Type: Predicted Year: 1928 Ex: 13.642137","Age: 64 ex_fr_female$Type: Predicted Year: 1929 Ex: 12.835560","Age: 64 ex_fr_female$Type: Predicted Year: 1930 Ex: 14.101547","Age: 64 ex_fr_female$Type: Predicted Year: 1931 Ex: 13.466053","Age: 64 ex_fr_female$Type: Predicted Year: 1932 Ex: 13.778666","Age: 64 ex_fr_female$Type: Predicted Year: 1933 Ex: 13.761669","Age: 64 ex_fr_female$Type: Predicted Year: 1934 Ex: 14.233950","Age: 64 ex_fr_female$Type: Predicted Year: 1935 Ex: 13.888694","Age: 64 ex_fr_female$Type: Predicted Year: 1936 Ex: 14.089470","Age: 64 ex_fr_female$Type: Predicted Year: 1937 Ex: 14.334254","Age: 64 ex_fr_female$Type: Predicted Year: 1938 Ex: 14.109824","Age: 64 ex_fr_female$Type: Predicted Year: 1939 Ex: 13.988885","Age: 64 ex_fr_female$Type: Predicted Year: 1940 Ex: 12.787693","Age: 64 ex_fr_female$Type: Predicted Year: 1941 Ex: 13.764234","Age: 64 ex_fr_female$Type: Predicted Year: 1942 Ex: 13.831521","Age: 64 ex_fr_female$Type: Predicted Year: 1943 Ex: 14.052113","Age: 64 ex_fr_female$Type: Predicted Year: 1944 Ex: 13.315551","Age: 64 ex_fr_female$Type: Predicted Year: 1945 Ex: 14.147945","Age: 64 ex_fr_female$Type: Predicted Year: 1946 Ex: 15.270057","Age: 64 ex_fr_female$Type: Predicted Year: 1947 Ex: 15.476188","Age: 64 ex_fr_female$Type: Predicted Year: 1948 Ex: 16.003665","Age: 64 ex_fr_female$Type: Predicted Year: 1949 Ex: 14.949972","Age: 64 ex_fr_female$Type: Predicted Year: 1950 Ex: 15.632491","Age: 64 ex_fr_female$Type: Predicted Year: 1951 Ex: 15.198253","Age: 64 ex_fr_female$Type: Predicted Year: 1952 Ex: 15.848211","Age: 64 ex_fr_female$Type: Predicted Year: 1953 Ex: 15.359969","Age: 64 ex_fr_female$Type: Predicted Year: 1954 Ex: 16.118560","Age: 64 ex_fr_female$Type: Predicted Year: 1955 Ex: 16.089466","Age: 64 ex_fr_female$Type: Predicted Year: 1956 Ex: 15.884388","Age: 64 ex_fr_female$Type: Predicted Year: 1957 Ex: 16.231103","Age: 64 ex_fr_female$Type: Predicted Year: 1958 Ex: 16.658898","Age: 64 ex_fr_female$Type: Predicted Year: 1959 Ex: 16.729135","Age: 64 ex_fr_female$Type: Predicted Year: 1960 Ex: 16.669526","Age: 64 ex_fr_female$Type: Predicted Year: 1961 Ex: 17.205113","Age: 64 ex_fr_female$Type: Predicted Year: 1962 Ex: 16.724354","Age: 64 ex_fr_female$Type: Predicted Year: 1963 Ex: 16.652290","Age: 64 ex_fr_female$Type: Predicted Year: 1964 Ex: 17.399842","Age: 64 ex_fr_female$Type: Predicted Year: 1965 Ex: 17.193518","Age: 64 ex_fr_female$Type: Predicted Year: 1966 Ex: 17.560207","Age: 64 ex_fr_female$Type: Predicted Year: 1967 Ex: 17.507420","Age: 64 ex_fr_female$Type: Predicted Year: 1968 Ex: 17.476998","Age: 64 ex_fr_female$Type: Predicted Year: 1969 Ex: 17.321120","Age: 64 ex_fr_female$Type: Predicted Year: 1970 Ex: 17.832359","Age: 64 ex_fr_female$Type: Predicted Year: 1971 Ex: 17.839686","Age: 64 ex_fr_female$Type: Predicted Year: 1972 Ex: 18.080260","Age: 64 ex_fr_female$Type: Predicted Year: 1973 Ex: 18.013290","Age: 64 ex_fr_female$Type: Predicted Year: 1974 Ex: 18.281480","Age: 64 ex_fr_female$Type: Predicted Year: 1975 Ex: 18.296916","Age: 64 ex_fr_female$Type: Predicted Year: 1976 Ex: 18.498272","Age: 64 ex_fr_female$Type: Predicted Year: 1977 Ex: 18.990676","Age: 64 ex_fr_female$Type: Predicted Year: 1978 Ex: 18.996108","Age: 64 ex_fr_female$Type: Predicted Year: 1979 Ex: 19.242803","Age: 64 ex_fr_female$Type: Predicted Year: 1980 Ex: 19.317944","Age: 64 ex_fr_female$Type: Predicted Year: 1981 Ex: 19.291135","Age: 64 ex_fr_female$Type: Predicted Year: 1982 Ex: 19.614748","Age: 64 ex_fr_female$Type: Predicted Year: 1983 Ex: 19.495504","Age: 64 ex_fr_female$Type: Predicted Year: 1984 Ex: 19.896671","Age: 64 ex_fr_female$Type: Predicted Year: 1985 Ex: 19.888844","Age: 64 ex_fr_female$Type: Predicted Year: 1986 Ex: 20.098116","Age: 64 ex_fr_female$Type: Predicted Year: 1987 Ex: 20.560338","Age: 64 ex_fr_female$Type: Predicted Year: 1988 Ex: 20.743981","Age: 64 ex_fr_female$Type: Predicted Year: 1989 Ex: 20.867757","Age: 64 ex_fr_female$Type: Predicted Year: 1990 Ex: 21.058975","Age: 64 ex_fr_female$Type: Predicted Year: 1991 Ex: 21.269196","Age: 64 ex_fr_female$Type: Predicted Year: 1992 Ex: 21.478416","Age: 64 ex_fr_female$Type: Predicted Year: 1993 Ex: 21.479721","Age: 64 ex_fr_female$Type: Predicted Year: 1994 Ex: 21.823112","Age: 64 ex_fr_female$Type: Predicted Year: 1995 Ex: 21.774596","Age: 64 ex_fr_female$Type: Predicted Year: 1996 Ex: 21.832897","Age: 64 ex_fr_female$Type: Predicted Year: 1997 Ex: 21.990384","Age: 64 ex_fr_female$Type: Predicted Year: 1998 Ex: 22.061401","Age: 64 ex_fr_female$Type: Predicted Year: 1999 Ex: 22.121240","Age: 64 ex_fr_female$Type: Predicted Year: 2000 Ex: 22.353175","Age: 64 ex_fr_female$Type: Predicted Year: 2001 Ex: 22.510073","Age: 64 ex_fr_female$Type: Predicted Year: 2002 Ex: 22.541427","Age: 64 ex_fr_female$Type: Predicted Year: 2003 Ex: 22.392741","Age: 64 ex_fr_female$Type: Predicted Year: 2004 Ex: 23.264129","Age: 64 ex_fr_female$Type: Predicted Year: 2005 Ex: 23.137780","Age: 64 ex_fr_female$Type: Predicted Year: 2006 Ex: 23.483398","Age: 64 ex_fr_female$Type: Predicted Year: 2007 Ex: 23.612260","Age: 64 ex_fr_female$Type: Predicted Year: 2008 Ex: 23.580349","Age: 64 ex_fr_female$Type: Predicted Year: 2009 Ex: 23.677806","Age: 64 ex_fr_female$Type: Predicted Year: 2010 Ex: 23.842282","Age: 64 ex_fr_female$Type: Predicted Year: 2011 Ex: 24.136854","Age: 64 ex_fr_female$Type: Predicted Year: 2012 Ex: 23.933669","Age: 64 ex_fr_female$Type: Predicted Year: 2013 Ex: 24.117079","Age: 64 ex_fr_female$Type: Predicted Year: 2014 Ex: 24.456946","Age: 64 ex_fr_female$Type: Predicted Year: 2015 Ex: 24.159706","Age: 64 ex_fr_female$Type: Predicted Year: 2016 Ex: 24.320179","Age: 64 ex_fr_female$Type: Predicted Year: 2017 Ex: 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1910 Ex: 11.980000","Age: 65 ex_fr_female$Type: Observed Year: 1911 Ex: 11.450000","Age: 65 ex_fr_female$Type: Observed Year: 1912 Ex: 12.120000","Age: 65 ex_fr_female$Type: Observed Year: 1913 Ex: 12.100000","Age: 65 ex_fr_female$Type: Observed Year: 1914 Ex: 11.560000","Age: 65 ex_fr_female$Type: Observed Year: 1915 Ex: 11.680000","Age: 65 ex_fr_female$Type: Observed Year: 1916 Ex: 11.810000","Age: 65 ex_fr_female$Type: Observed Year: 1917 Ex: 11.610000","Age: 65 ex_fr_female$Type: Observed Year: 1918 Ex: 11.590000","Age: 65 ex_fr_female$Type: Observed Year: 1919 Ex: 11.810000","Age: 65 ex_fr_female$Type: Observed Year: 1920 Ex: 12.530000","Age: 65 ex_fr_female$Type: Observed Year: 1921 Ex: 12.440000","Age: 65 ex_fr_female$Type: Observed Year: 1922 Ex: 12.030000","Age: 65 ex_fr_female$Type: Observed Year: 1923 Ex: 12.660000","Age: 65 ex_fr_female$Type: Observed Year: 1924 Ex: 12.390000","Age: 65 ex_fr_female$Type: Observed Year: 1925 Ex: 12.290000","Age: 65 ex_fr_female$Type: Observed Year: 1926 Ex: 12.410000","Age: 65 ex_fr_female$Type: Observed Year: 1927 Ex: 12.530000","Age: 65 ex_fr_female$Type: Observed Year: 1928 Ex: 12.700000","Age: 65 ex_fr_female$Type: Observed Year: 1929 Ex: 11.890000","Age: 65 ex_fr_female$Type: Observed Year: 1930 Ex: 13.160000","Age: 65 ex_fr_female$Type: Observed Year: 1931 Ex: 12.520000","Age: 65 ex_fr_female$Type: Observed Year: 1932 Ex: 12.840000","Age: 65 ex_fr_female$Type: Observed Year: 1933 Ex: 12.820000","Age: 65 ex_fr_female$Type: Observed Year: 1934 Ex: 13.270000","Age: 65 ex_fr_female$Type: Observed Year: 1935 Ex: 12.930000","Age: 65 ex_fr_female$Type: Observed Year: 1936 Ex: 13.130000","Age: 65 ex_fr_female$Type: Observed Year: 1937 Ex: 13.390000","Age: 65 ex_fr_female$Type: Observed Year: 1938 Ex: 13.160000","Age: 65 ex_fr_female$Type: Observed Year: 1939 Ex: 13.030000","Age: 65 ex_fr_female$Type: Observed Year: 1940 Ex: 11.850000","Age: 65 ex_fr_female$Type: Observed Year: 1941 Ex: 12.810000","Age: 65 ex_fr_female$Type: Observed Year: 1942 Ex: 12.860000","Age: 65 ex_fr_female$Type: Observed Year: 1943 Ex: 13.080000","Age: 65 ex_fr_female$Type: Observed Year: 1944 Ex: 12.360000","Age: 65 ex_fr_female$Type: Observed Year: 1945 Ex: 13.160000","Age: 65 ex_fr_female$Type: Observed Year: 1946 Ex: 14.270000","Age: 65 ex_fr_female$Type: Observed Year: 1947 Ex: 14.480000","Age: 65 ex_fr_female$Type: Observed Year: 1948 Ex: 14.990000","Age: 65 ex_fr_female$Type: Observed Year: 1949 Ex: 13.940000","Age: 65 ex_fr_female$Type: Observed Year: 1950 Ex: 14.620000","Age: 65 ex_fr_female$Type: Observed Year: 1951 Ex: 14.200000","Age: 65 ex_fr_female$Type: Observed Year: 1952 Ex: 14.830000","Age: 65 ex_fr_female$Type: Observed Year: 1953 Ex: 14.340000","Age: 65 ex_fr_female$Type: Observed Year: 1954 Ex: 15.100000","Age: 65 ex_fr_female$Type: Observed Year: 1955 Ex: 15.070000","Age: 65 ex_fr_female$Type: Observed Year: 1956 Ex: 14.850000","Age: 65 ex_fr_female$Type: Observed Year: 1957 Ex: 15.200000","Age: 65 ex_fr_female$Type: Observed Year: 1958 Ex: 15.620000","Age: 65 ex_fr_female$Type: Observed Year: 1959 Ex: 15.680000","Age: 65 ex_fr_female$Type: Observed Year: 1960 Ex: 15.630000","Age: 65 ex_fr_female$Type: Observed Year: 1961 Ex: 16.150000","Age: 65 ex_fr_female$Type: Observed Year: 1962 Ex: 15.680000","Age: 65 ex_fr_female$Type: Observed Year: 1963 Ex: 15.610000","Age: 65 ex_fr_female$Type: Observed Year: 1964 Ex: 16.340000","Age: 65 ex_fr_female$Type: Observed Year: 1965 Ex: 16.140000","Age: 65 ex_fr_female$Type: Observed Year: 1966 Ex: 16.510000","Age: 65 ex_fr_female$Type: Observed Year: 1967 Ex: 16.450000","Age: 65 ex_fr_female$Type: Observed Year: 1968 Ex: 16.420000","Age: 65 ex_fr_female$Type: Observed Year: 1969 Ex: 16.270000","Age: 65 ex_fr_female$Type: Observed Year: 1970 Ex: 16.770000","Age: 65 ex_fr_female$Type: Observed Year: 1971 Ex: 16.770000","Age: 65 ex_fr_female$Type: Observed Year: 1972 Ex: 17.020000","Age: 65 ex_fr_female$Type: Observed Year: 1973 Ex: 16.940000","Age: 65 ex_fr_female$Type: Observed Year: 1974 Ex: 17.200000","Age: 65 ex_fr_female$Type: Observed Year: 1975 Ex: 17.220000","Age: 65 ex_fr_female$Type: Observed Year: 1976 Ex: 17.420000","Age: 65 ex_fr_female$Type: Observed Year: 1977 Ex: 17.900000","Age: 65 ex_fr_female$Type: Observed Year: 1978 Ex: 17.900000","Age: 65 ex_fr_female$Type: Observed Year: 1979 Ex: 18.150000","Age: 65 ex_fr_female$Type: Observed Year: 1980 Ex: 18.230000","Age: 65 ex_fr_female$Type: Observed Year: 1981 Ex: 18.190000","Age: 65 ex_fr_female$Type: Observed Year: 1982 Ex: 18.510000","Age: 65 ex_fr_female$Type: Observed Year: 1983 Ex: 18.390000","Age: 65 ex_fr_female$Type: Observed Year: 1984 Ex: 18.790000","Age: 65 ex_fr_female$Type: Observed Year: 1985 Ex: 18.780000","Age: 65 ex_fr_female$Type: Observed Year: 1986 Ex: 18.990000","Age: 65 ex_fr_female$Type: Observed Year: 1987 Ex: 19.450000","Age: 65 ex_fr_female$Type: Observed Year: 1988 Ex: 19.630000","Age: 65 ex_fr_female$Type: Observed Year: 1989 Ex: 19.760000","Age: 65 ex_fr_female$Type: Observed Year: 1990 Ex: 19.940000","Age: 65 ex_fr_female$Type: Observed Year: 1991 Ex: 20.150000","Age: 65 ex_fr_female$Type: Observed Year: 1992 Ex: 20.360000","Age: 65 ex_fr_female$Type: Observed Year: 1993 Ex: 20.360000","Age: 65 ex_fr_female$Type: Observed Year: 1994 Ex: 20.700000","Age: 65 ex_fr_female$Type: Observed Year: 1995 Ex: 20.650000","Age: 65 ex_fr_female$Type: Observed Year: 1996 Ex: 20.710000","Age: 65 ex_fr_female$Type: Observed Year: 1997 Ex: 20.870000","Age: 65 ex_fr_female$Type: Observed Year: 1998 Ex: 20.940000","Age: 65 ex_fr_female$Type: Observed Year: 1999 Ex: 20.990000","Age: 65 ex_fr_female$Type: Observed Year: 2000 Ex: 21.220000","Age: 65 ex_fr_female$Type: Observed Year: 2001 Ex: 21.380000","Age: 65 ex_fr_female$Type: Observed Year: 2002 Ex: 21.410000","Age: 65 ex_fr_female$Type: Observed Year: 2003 Ex: 21.260000","Age: 65 ex_fr_female$Type: Observed Year: 2004 Ex: 22.130000","Age: 65 ex_fr_female$Type: Observed Year: 2005 Ex: 22.000000","Age: 65 ex_fr_female$Type: Observed Year: 2006 Ex: 22.350000","Age: 65 ex_fr_female$Type: Observed Year: 2007 Ex: 22.480000","Age: 65 ex_fr_female$Type: Observed Year: 2008 Ex: 22.450000","Age: 65 ex_fr_female$Type: Observed Year: 2009 Ex: 22.550000","Age: 65 ex_fr_female$Type: Observed Year: 2010 Ex: 22.710000","Age: 65 ex_fr_female$Type: Observed Year: 2011 Ex: 23.000000","Age: 65 ex_fr_female$Type: Observed Year: 2012 Ex: 22.800000","Age: 65 ex_fr_female$Type: Observed Year: 2013 Ex: 22.980000","Age: 65 ex_fr_female$Type: Observed Year: 2014 Ex: 23.320000","Age: 65 ex_fr_female$Type: Observed Year: 2015 Ex: 23.030000","Age: 65 ex_fr_female$Type: Observed Year: 2016 Ex: 23.190000","Age: 65 ex_fr_female$Type: Observed Year: 2017 Ex: 23.160000"],"frame":"65","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[11.1825542115862,11.3846472913615,11.4149970727097,11.5786328486585,11.0587937377652,11.8521740732441,11.7958036340098,11.8471721118151,12.0478887809331,11.8525316779723,11.3037367060836,11.6115151171102,11.3645065584569,11.0674918353746,11.1172747715791,11.3362020372038,10.237356165416,11.4948880289443,11.1771425069836,11.5150214912363,11.6770170141587,10.3045868241481,11.2779646383852,11.7855959250819,11.3163899948489,11.8310160163281,11.273574236664,11.5054343044041,11.6350517657669,11.8300166878726,11.6369633340276,10.8467390878026,11.1544801569551,10.7094798113458,11.6748448675761,11.4915282366573,11.5691600274532,11.2183404869077,10.3671293962649,10.6559241133186,11.555852428249,11.2678615010969,10.7537146741083,10.9296102854291,11.6055778728752,11.6437190681355,11.6992954627286,11.4996493504661,11.1688457337134,11.048700516081,11.2231531035943,11.2513468513463,11.1610385098702,11.2838628153149,10.4734805261386,10.3425289556441,12.2276232346395,11.6156851129784,11.909162823241,11.388686702962,11.7580393414602,12.0453638300565,11.5888744605054,11.3717949920656,11.6716196151909,12.0905673545913,12.0844595086701,11.9961916117439,12.0751140416835,12.0773164217495,12.017050409173,11.9738965097346,11.77727047528,12.1041557220193,11.4218458287085,11.0175981784384,11.1227477097142,11.2035357658479,11.6542859404813,11.2189209229942,12.0042914029084,12.2429281696473,11.6916558791712,11.7283796899839,11.2202068040973,11.8631020309787,12.0600454808947,12.0369371385919,11.9839857286692,11.8406466600837,11.9082872569853,11.5174147370956,12.0462249943601,11.5946552400419,12.2920537212415,11.7674817595848,12.4318170824084,12.4150645162824,11.8749832477431,11.993940200632,12.1221790318851,11.9166645905329,11.905984812382,12.1219224602128,12.8375574998223,12.7515341652693,12.3410065173831,12.9627225757007,12.6959857724033,12.5986612675123,12.7130897550703,12.8328757581544,13.0095305369289,12.199698183437,13.466828100572,12.8233254290675,13.1399137887168,13.117958501409,13.5695385424959,13.2363010620396,13.4385245987905,13.6873258844559,13.4662449949519,13.331344357074,12.1496584165182,13.1079291372413,13.164106802571,13.3770104732061,12.6626196227743,13.4574008023386,14.5699495639683,14.7787369356035,15.2822666539657,14.2361421182527,14.917830775991,14.4932375582288,15.1268314713758,14.6329039193568,15.3903245442667,15.3588207073694,15.1444095182956,15.4933052079848,15.9078713711858,15.9734226559712,15.9127525503424,16.4421581975857,15.9652769462163,15.8931260155367,16.6312536002723,16.4249810993248,16.7924310657175,16.7351326297355,16.70034727261,16.5523064913382,17.0500247409146,17.0537574555047,17.3026417258918,17.2241859693877,17.4858903775734,17.501323563817,17.6964375708232,18.1809945594729,18.1790099834678,18.4285223346848,18.5080193615113,18.4739183549689,18.7931531417701,18.6657027402467,19.0706601126414,19.0621756223178,19.2715397828849,19.7236897103329,19.9076035105281,20.0344333715823,20.216440577077,20.4280629927773,20.6346553839117,20.6353359121372,20.9748303985339,20.921898700851,20.9849004807394,21.1374498868237,21.2117749230366,21.2639774460055,21.494364143787,21.6511678349928,21.6785085145019,21.5286776601244,22.4008952545134,22.2708274889321,22.6203263556234,22.7446085227634,22.7150691560982,22.8149597679356,22.9745393888327,23.2707804284172,23.0652656824451,23.2487558887339,23.5917221381821,23.2930477865208,23.458737813114,23.4222437991798],"text":["Age: 65 ex_fr_female$Type: Predicted Year: 1816 Ex: 11.182554","Age: 65 ex_fr_female$Type: Predicted Year: 1817 Ex: 11.384647","Age: 65 ex_fr_female$Type: Predicted Year: 1818 Ex: 11.414997","Age: 65 ex_fr_female$Type: Predicted Year: 1819 Ex: 11.578633","Age: 65 ex_fr_female$Type: Predicted Year: 1820 Ex: 11.058794","Age: 65 ex_fr_female$Type: Predicted Year: 1821 Ex: 11.852174","Age: 65 ex_fr_female$Type: Predicted Year: 1822 Ex: 11.795804","Age: 65 ex_fr_female$Type: Predicted Year: 1823 Ex: 11.847172","Age: 65 ex_fr_female$Type: Predicted Year: 1824 Ex: 12.047889","Age: 65 ex_fr_female$Type: Predicted Year: 1825 Ex: 11.852532","Age: 65 ex_fr_female$Type: Predicted Year: 1826 Ex: 11.303737","Age: 65 ex_fr_female$Type: Predicted Year: 1827 Ex: 11.611515","Age: 65 ex_fr_female$Type: Predicted Year: 1828 Ex: 11.364507","Age: 65 ex_fr_female$Type: Predicted Year: 1829 Ex: 11.067492","Age: 65 ex_fr_female$Type: Predicted Year: 1830 Ex: 11.117275","Age: 65 ex_fr_female$Type: Predicted Year: 1831 Ex: 11.336202","Age: 65 ex_fr_female$Type: Predicted Year: 1832 Ex: 10.237356","Age: 65 ex_fr_female$Type: Predicted Year: 1833 Ex: 11.494888","Age: 65 ex_fr_female$Type: Predicted Year: 1834 Ex: 11.177143","Age: 65 ex_fr_female$Type: Predicted Year: 1835 Ex: 11.515021","Age: 65 ex_fr_female$Type: Predicted Year: 1836 Ex: 11.677017","Age: 65 ex_fr_female$Type: Predicted Year: 1837 Ex: 10.304587","Age: 65 ex_fr_female$Type: Predicted Year: 1838 Ex: 11.277965","Age: 65 ex_fr_female$Type: Predicted Year: 1839 Ex: 11.785596","Age: 65 ex_fr_female$Type: Predicted Year: 1840 Ex: 11.316390","Age: 65 ex_fr_female$Type: Predicted Year: 1841 Ex: 11.831016","Age: 65 ex_fr_female$Type: Predicted Year: 1842 Ex: 11.273574","Age: 65 ex_fr_female$Type: Predicted Year: 1843 Ex: 11.505434","Age: 65 ex_fr_female$Type: Predicted Year: 1844 Ex: 11.635052","Age: 65 ex_fr_female$Type: Predicted Year: 1845 Ex: 11.830017","Age: 65 ex_fr_female$Type: Predicted Year: 1846 Ex: 11.636963","Age: 65 ex_fr_female$Type: Predicted Year: 1847 Ex: 10.846739","Age: 65 ex_fr_female$Type: Predicted Year: 1848 Ex: 11.154480","Age: 65 ex_fr_female$Type: Predicted Year: 1849 Ex: 10.709480","Age: 65 ex_fr_female$Type: Predicted Year: 1850 Ex: 11.674845","Age: 65 ex_fr_female$Type: Predicted Year: 1851 Ex: 11.491528","Age: 65 ex_fr_female$Type: Predicted Year: 1852 Ex: 11.569160","Age: 65 ex_fr_female$Type: Predicted Year: 1853 Ex: 11.218340","Age: 65 ex_fr_female$Type: Predicted Year: 1854 Ex: 10.367129","Age: 65 ex_fr_female$Type: Predicted Year: 1855 Ex: 10.655924","Age: 65 ex_fr_female$Type: Predicted Year: 1856 Ex: 11.555852","Age: 65 ex_fr_female$Type: Predicted Year: 1857 Ex: 11.267862","Age: 65 ex_fr_female$Type: Predicted Year: 1858 Ex: 10.753715","Age: 65 ex_fr_female$Type: Predicted Year: 1859 Ex: 10.929610","Age: 65 ex_fr_female$Type: Predicted Year: 1860 Ex: 11.605578","Age: 65 ex_fr_female$Type: Predicted Year: 1861 Ex: 11.643719","Age: 65 ex_fr_female$Type: Predicted Year: 1862 Ex: 11.699295","Age: 65 ex_fr_female$Type: Predicted Year: 1863 Ex: 11.499649","Age: 65 ex_fr_female$Type: Predicted Year: 1864 Ex: 11.168846","Age: 65 ex_fr_female$Type: Predicted Year: 1865 Ex: 11.048701","Age: 65 ex_fr_female$Type: Predicted Year: 1866 Ex: 11.223153","Age: 65 ex_fr_female$Type: Predicted Year: 1867 Ex: 11.251347","Age: 65 ex_fr_female$Type: Predicted Year: 1868 Ex: 11.161039","Age: 65 ex_fr_female$Type: Predicted Year: 1869 Ex: 11.283863","Age: 65 ex_fr_female$Type: Predicted Year: 1870 Ex: 10.473481","Age: 65 ex_fr_female$Type: Predicted Year: 1871 Ex: 10.342529","Age: 65 ex_fr_female$Type: Predicted Year: 1872 Ex: 12.227623","Age: 65 ex_fr_female$Type: Predicted Year: 1873 Ex: 11.615685","Age: 65 ex_fr_female$Type: Predicted Year: 1874 Ex: 11.909163","Age: 65 ex_fr_female$Type: Predicted Year: 1875 Ex: 11.388687","Age: 65 ex_fr_female$Type: Predicted Year: 1876 Ex: 11.758039","Age: 65 ex_fr_female$Type: Predicted Year: 1877 Ex: 12.045364","Age: 65 ex_fr_female$Type: Predicted Year: 1878 Ex: 11.588874","Age: 65 ex_fr_female$Type: Predicted Year: 1879 Ex: 11.371795","Age: 65 ex_fr_female$Type: Predicted Year: 1880 Ex: 11.671620","Age: 65 ex_fr_female$Type: Predicted Year: 1881 Ex: 12.090567","Age: 65 ex_fr_female$Type: Predicted Year: 1882 Ex: 12.084460","Age: 65 ex_fr_female$Type: Predicted Year: 1883 Ex: 11.996192","Age: 65 ex_fr_female$Type: Predicted Year: 1884 Ex: 12.075114","Age: 65 ex_fr_female$Type: Predicted Year: 1885 Ex: 12.077316","Age: 65 ex_fr_female$Type: Predicted Year: 1886 Ex: 12.017050","Age: 65 ex_fr_female$Type: Predicted Year: 1887 Ex: 11.973897","Age: 65 ex_fr_female$Type: Predicted Year: 1888 Ex: 11.777270","Age: 65 ex_fr_female$Type: Predicted Year: 1889 Ex: 12.104156","Age: 65 ex_fr_female$Type: Predicted Year: 1890 Ex: 11.421846","Age: 65 ex_fr_female$Type: Predicted Year: 1891 Ex: 11.017598","Age: 65 ex_fr_female$Type: Predicted Year: 1892 Ex: 11.122748","Age: 65 ex_fr_female$Type: Predicted Year: 1893 Ex: 11.203536","Age: 65 ex_fr_female$Type: Predicted Year: 1894 Ex: 11.654286","Age: 65 ex_fr_female$Type: Predicted Year: 1895 Ex: 11.218921","Age: 65 ex_fr_female$Type: Predicted Year: 1896 Ex: 12.004291","Age: 65 ex_fr_female$Type: Predicted Year: 1897 Ex: 12.242928","Age: 65 ex_fr_female$Type: Predicted Year: 1898 Ex: 11.691656","Age: 65 ex_fr_female$Type: Predicted Year: 1899 Ex: 11.728380","Age: 65 ex_fr_female$Type: Predicted Year: 1900 Ex: 11.220207","Age: 65 ex_fr_female$Type: Predicted Year: 1901 Ex: 11.863102","Age: 65 ex_fr_female$Type: Predicted Year: 1902 Ex: 12.060045","Age: 65 ex_fr_female$Type: Predicted Year: 1903 Ex: 12.036937","Age: 65 ex_fr_female$Type: Predicted Year: 1904 Ex: 11.983986","Age: 65 ex_fr_female$Type: Predicted Year: 1905 Ex: 11.840647","Age: 65 ex_fr_female$Type: Predicted Year: 1906 Ex: 11.908287","Age: 65 ex_fr_female$Type: Predicted Year: 1907 Ex: 11.517415","Age: 65 ex_fr_female$Type: Predicted Year: 1908 Ex: 12.046225","Age: 65 ex_fr_female$Type: Predicted Year: 1909 Ex: 11.594655","Age: 65 ex_fr_female$Type: Predicted Year: 1910 Ex: 12.292054","Age: 65 ex_fr_female$Type: Predicted Year: 1911 Ex: 11.767482","Age: 65 ex_fr_female$Type: Predicted Year: 1912 Ex: 12.431817","Age: 65 ex_fr_female$Type: Predicted Year: 1913 Ex: 12.415065","Age: 65 ex_fr_female$Type: Predicted Year: 1914 Ex: 11.874983","Age: 65 ex_fr_female$Type: Predicted Year: 1915 Ex: 11.993940","Age: 65 ex_fr_female$Type: Predicted Year: 1916 Ex: 12.122179","Age: 65 ex_fr_female$Type: Predicted Year: 1917 Ex: 11.916665","Age: 65 ex_fr_female$Type: Predicted Year: 1918 Ex: 11.905985","Age: 65 ex_fr_female$Type: Predicted Year: 1919 Ex: 12.121922","Age: 65 ex_fr_female$Type: Predicted Year: 1920 Ex: 12.837557","Age: 65 ex_fr_female$Type: Predicted Year: 1921 Ex: 12.751534","Age: 65 ex_fr_female$Type: Predicted Year: 1922 Ex: 12.341007","Age: 65 ex_fr_female$Type: Predicted Year: 1923 Ex: 12.962723","Age: 65 ex_fr_female$Type: Predicted Year: 1924 Ex: 12.695986","Age: 65 ex_fr_female$Type: Predicted Year: 1925 Ex: 12.598661","Age: 65 ex_fr_female$Type: Predicted Year: 1926 Ex: 12.713090","Age: 65 ex_fr_female$Type: Predicted Year: 1927 Ex: 12.832876","Age: 65 ex_fr_female$Type: Predicted Year: 1928 Ex: 13.009531","Age: 65 ex_fr_female$Type: Predicted Year: 1929 Ex: 12.199698","Age: 65 ex_fr_female$Type: Predicted Year: 1930 Ex: 13.466828","Age: 65 ex_fr_female$Type: Predicted Year: 1931 Ex: 12.823325","Age: 65 ex_fr_female$Type: Predicted Year: 1932 Ex: 13.139914","Age: 65 ex_fr_female$Type: Predicted Year: 1933 Ex: 13.117959","Age: 65 ex_fr_female$Type: Predicted Year: 1934 Ex: 13.569539","Age: 65 ex_fr_female$Type: Predicted Year: 1935 Ex: 13.236301","Age: 65 ex_fr_female$Type: Predicted Year: 1936 Ex: 13.438525","Age: 65 ex_fr_female$Type: Predicted Year: 1937 Ex: 13.687326","Age: 65 ex_fr_female$Type: Predicted Year: 1938 Ex: 13.466245","Age: 65 ex_fr_female$Type: Predicted Year: 1939 Ex: 13.331344","Age: 65 ex_fr_female$Type: Predicted Year: 1940 Ex: 12.149658","Age: 65 ex_fr_female$Type: Predicted Year: 1941 Ex: 13.107929","Age: 65 ex_fr_female$Type: Predicted Year: 1942 Ex: 13.164107","Age: 65 ex_fr_female$Type: Predicted Year: 1943 Ex: 13.377010","Age: 65 ex_fr_female$Type: Predicted Year: 1944 Ex: 12.662620","Age: 65 ex_fr_female$Type: Predicted Year: 1945 Ex: 13.457401","Age: 65 ex_fr_female$Type: Predicted Year: 1946 Ex: 14.569950","Age: 65 ex_fr_female$Type: Predicted Year: 1947 Ex: 14.778737","Age: 65 ex_fr_female$Type: Predicted Year: 1948 Ex: 15.282267","Age: 65 ex_fr_female$Type: Predicted Year: 1949 Ex: 14.236142","Age: 65 ex_fr_female$Type: Predicted Year: 1950 Ex: 14.917831","Age: 65 ex_fr_female$Type: Predicted Year: 1951 Ex: 14.493238","Age: 65 ex_fr_female$Type: Predicted Year: 1952 Ex: 15.126831","Age: 65 ex_fr_female$Type: Predicted Year: 1953 Ex: 14.632904","Age: 65 ex_fr_female$Type: Predicted Year: 1954 Ex: 15.390325","Age: 65 ex_fr_female$Type: Predicted Year: 1955 Ex: 15.358821","Age: 65 ex_fr_female$Type: Predicted Year: 1956 Ex: 15.144410","Age: 65 ex_fr_female$Type: Predicted Year: 1957 Ex: 15.493305","Age: 65 ex_fr_female$Type: Predicted Year: 1958 Ex: 15.907871","Age: 65 ex_fr_female$Type: Predicted Year: 1959 Ex: 15.973423","Age: 65 ex_fr_female$Type: Predicted Year: 1960 Ex: 15.912753","Age: 65 ex_fr_female$Type: Predicted Year: 1961 Ex: 16.442158","Age: 65 ex_fr_female$Type: Predicted Year: 1962 Ex: 15.965277","Age: 65 ex_fr_female$Type: Predicted Year: 1963 Ex: 15.893126","Age: 65 ex_fr_female$Type: Predicted Year: 1964 Ex: 16.631254","Age: 65 ex_fr_female$Type: Predicted Year: 1965 Ex: 16.424981","Age: 65 ex_fr_female$Type: Predicted Year: 1966 Ex: 16.792431","Age: 65 ex_fr_female$Type: Predicted Year: 1967 Ex: 16.735133","Age: 65 ex_fr_female$Type: Predicted Year: 1968 Ex: 16.700347","Age: 65 ex_fr_female$Type: Predicted Year: 1969 Ex: 16.552306","Age: 65 ex_fr_female$Type: Predicted Year: 1970 Ex: 17.050025","Age: 65 ex_fr_female$Type: Predicted Year: 1971 Ex: 17.053757","Age: 65 ex_fr_female$Type: Predicted Year: 1972 Ex: 17.302642","Age: 65 ex_fr_female$Type: Predicted Year: 1973 Ex: 17.224186","Age: 65 ex_fr_female$Type: Predicted Year: 1974 Ex: 17.485890","Age: 65 ex_fr_female$Type: Predicted Year: 1975 Ex: 17.501324","Age: 65 ex_fr_female$Type: Predicted Year: 1976 Ex: 17.696438","Age: 65 ex_fr_female$Type: Predicted Year: 1977 Ex: 18.180995","Age: 65 ex_fr_female$Type: Predicted Year: 1978 Ex: 18.179010","Age: 65 ex_fr_female$Type: Predicted Year: 1979 Ex: 18.428522","Age: 65 ex_fr_female$Type: Predicted Year: 1980 Ex: 18.508019","Age: 65 ex_fr_female$Type: Predicted Year: 1981 Ex: 18.473918","Age: 65 ex_fr_female$Type: Predicted Year: 1982 Ex: 18.793153","Age: 65 ex_fr_female$Type: Predicted Year: 1983 Ex: 18.665703","Age: 65 ex_fr_female$Type: Predicted Year: 1984 Ex: 19.070660","Age: 65 ex_fr_female$Type: Predicted Year: 1985 Ex: 19.062176","Age: 65 ex_fr_female$Type: Predicted Year: 1986 Ex: 19.271540","Age: 65 ex_fr_female$Type: Predicted Year: 1987 Ex: 19.723690","Age: 65 ex_fr_female$Type: Predicted Year: 1988 Ex: 19.907604","Age: 65 ex_fr_female$Type: Predicted Year: 1989 Ex: 20.034433","Age: 65 ex_fr_female$Type: Predicted Year: 1990 Ex: 20.216441","Age: 65 ex_fr_female$Type: Predicted Year: 1991 Ex: 20.428063","Age: 65 ex_fr_female$Type: Predicted Year: 1992 Ex: 20.634655","Age: 65 ex_fr_female$Type: Predicted Year: 1993 Ex: 20.635336","Age: 65 ex_fr_female$Type: Predicted Year: 1994 Ex: 20.974830","Age: 65 ex_fr_female$Type: Predicted Year: 1995 Ex: 20.921899","Age: 65 ex_fr_female$Type: Predicted Year: 1996 Ex: 20.984900","Age: 65 ex_fr_female$Type: Predicted Year: 1997 Ex: 21.137450","Age: 65 ex_fr_female$Type: Predicted Year: 1998 Ex: 21.211775","Age: 65 ex_fr_female$Type: Predicted Year: 1999 Ex: 21.263977","Age: 65 ex_fr_female$Type: Predicted Year: 2000 Ex: 21.494364","Age: 65 ex_fr_female$Type: Predicted Year: 2001 Ex: 21.651168","Age: 65 ex_fr_female$Type: Predicted Year: 2002 Ex: 21.678509","Age: 65 ex_fr_female$Type: Predicted Year: 2003 Ex: 21.528678","Age: 65 ex_fr_female$Type: Predicted Year: 2004 Ex: 22.400895","Age: 65 ex_fr_female$Type: Predicted Year: 2005 Ex: 22.270827","Age: 65 ex_fr_female$Type: Predicted Year: 2006 Ex: 22.620326","Age: 65 ex_fr_female$Type: Predicted Year: 2007 Ex: 22.744609","Age: 65 ex_fr_female$Type: Predicted Year: 2008 Ex: 22.715069","Age: 65 ex_fr_female$Type: Predicted Year: 2009 Ex: 22.814960","Age: 65 ex_fr_female$Type: Predicted Year: 2010 Ex: 22.974539","Age: 65 ex_fr_female$Type: Predicted Year: 2011 Ex: 23.270780","Age: 65 ex_fr_female$Type: Predicted Year: 2012 Ex: 23.065266","Age: 65 ex_fr_female$Type: Predicted Year: 2013 Ex: 23.248756","Age: 65 ex_fr_female$Type: Predicted Year: 2014 Ex: 23.591722","Age: 65 ex_fr_female$Type: Predicted Year: 2015 Ex: 23.293048","Age: 65 ex_fr_female$Type: Predicted Year: 2016 Ex: 23.458738","Age: 65 ex_fr_female$Type: Predicted Year: 2017 Ex: 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10.470000","Age: 66 ex_fr_female$Type: Observed Year: 1832 Ex: 9.420000","Age: 66 ex_fr_female$Type: Observed Year: 1833 Ex: 10.640000","Age: 66 ex_fr_female$Type: Observed Year: 1834 Ex: 10.340000","Age: 66 ex_fr_female$Type: Observed Year: 1835 Ex: 10.680000","Age: 66 ex_fr_female$Type: Observed Year: 1836 Ex: 10.820000","Age: 66 ex_fr_female$Type: Observed Year: 1837 Ex: 9.470000","Age: 66 ex_fr_female$Type: Observed Year: 1838 Ex: 10.420000","Age: 66 ex_fr_female$Type: Observed Year: 1839 Ex: 10.920000","Age: 66 ex_fr_female$Type: Observed Year: 1840 Ex: 10.440000","Age: 66 ex_fr_female$Type: Observed Year: 1841 Ex: 10.940000","Age: 66 ex_fr_female$Type: Observed Year: 1842 Ex: 10.410000","Age: 66 ex_fr_female$Type: Observed Year: 1843 Ex: 10.630000","Age: 66 ex_fr_female$Type: Observed Year: 1844 Ex: 10.760000","Age: 66 ex_fr_female$Type: Observed Year: 1845 Ex: 10.940000","Age: 66 ex_fr_female$Type: Observed Year: 1846 Ex: 10.760000","Age: 66 ex_fr_female$Type: Observed Year: 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ex_fr_female$Type: Observed Year: 1895 Ex: 10.340000","Age: 66 ex_fr_female$Type: Observed Year: 1896 Ex: 11.110000","Age: 66 ex_fr_female$Type: Observed Year: 1897 Ex: 11.330000","Age: 66 ex_fr_female$Type: Observed Year: 1898 Ex: 10.800000","Age: 66 ex_fr_female$Type: Observed Year: 1899 Ex: 10.850000","Age: 66 ex_fr_female$Type: Observed Year: 1900 Ex: 10.340000","Age: 66 ex_fr_female$Type: Observed Year: 1901 Ex: 10.970000","Age: 66 ex_fr_female$Type: Observed Year: 1902 Ex: 11.170000","Age: 66 ex_fr_female$Type: Observed Year: 1903 Ex: 11.130000","Age: 66 ex_fr_female$Type: Observed Year: 1904 Ex: 11.070000","Age: 66 ex_fr_female$Type: Observed Year: 1905 Ex: 10.950000","Age: 66 ex_fr_female$Type: Observed Year: 1906 Ex: 11.020000","Age: 66 ex_fr_female$Type: Observed Year: 1907 Ex: 10.620000","Age: 66 ex_fr_female$Type: Observed Year: 1908 Ex: 11.160000","Age: 66 ex_fr_female$Type: Observed Year: 1909 Ex: 10.710000","Age: 66 ex_fr_female$Type: Observed Year: 1910 Ex: 11.390000","Age: 66 ex_fr_female$Type: Observed Year: 1911 Ex: 10.850000","Age: 66 ex_fr_female$Type: Observed Year: 1912 Ex: 11.540000","Age: 66 ex_fr_female$Type: Observed Year: 1913 Ex: 11.480000","Age: 66 ex_fr_female$Type: Observed Year: 1914 Ex: 10.960000","Age: 66 ex_fr_female$Type: Observed Year: 1915 Ex: 11.090000","Age: 66 ex_fr_female$Type: Observed Year: 1916 Ex: 11.210000","Age: 66 ex_fr_female$Type: Observed Year: 1917 Ex: 10.990000","Age: 66 ex_fr_female$Type: Observed Year: 1918 Ex: 11.020000","Age: 66 ex_fr_female$Type: Observed Year: 1919 Ex: 11.200000","Age: 66 ex_fr_female$Type: Observed Year: 1920 Ex: 11.890000","Age: 66 ex_fr_female$Type: Observed Year: 1921 Ex: 11.820000","Age: 66 ex_fr_female$Type: Observed Year: 1922 Ex: 11.430000","Age: 66 ex_fr_female$Type: Observed Year: 1923 Ex: 12.030000","Age: 66 ex_fr_female$Type: Observed Year: 1924 Ex: 11.780000","Age: 66 ex_fr_female$Type: Observed Year: 1925 Ex: 11.660000","Age: 66 ex_fr_female$Type: Observed Year: 1926 Ex: 11.760000","Age: 66 ex_fr_female$Type: Observed Year: 1927 Ex: 11.900000","Age: 66 ex_fr_female$Type: Observed Year: 1928 Ex: 12.080000","Age: 66 ex_fr_female$Type: Observed Year: 1929 Ex: 11.280000","Age: 66 ex_fr_female$Type: Observed Year: 1930 Ex: 12.530000","Age: 66 ex_fr_female$Type: Observed Year: 1931 Ex: 11.890000","Age: 66 ex_fr_female$Type: Observed Year: 1932 Ex: 12.200000","Age: 66 ex_fr_female$Type: Observed Year: 1933 Ex: 12.180000","Age: 66 ex_fr_female$Type: Observed Year: 1934 Ex: 12.630000","Age: 66 ex_fr_female$Type: Observed Year: 1935 Ex: 12.290000","Age: 66 ex_fr_female$Type: Observed Year: 1936 Ex: 12.470000","Age: 66 ex_fr_female$Type: Observed Year: 1937 Ex: 12.740000","Age: 66 ex_fr_female$Type: Observed Year: 1938 Ex: 12.530000","Age: 66 ex_fr_female$Type: Observed Year: 1939 Ex: 12.390000","Age: 66 ex_fr_female$Type: Observed Year: 1940 Ex: 11.230000","Age: 66 ex_fr_female$Type: Observed Year: 1941 Ex: 12.160000","Age: 66 ex_fr_female$Type: Observed Year: 1942 Ex: 12.210000","Age: 66 ex_fr_female$Type: Observed Year: 1943 Ex: 12.410000","Age: 66 ex_fr_female$Type: Observed Year: 1944 Ex: 11.730000","Age: 66 ex_fr_female$Type: Observed Year: 1945 Ex: 12.490000","Age: 66 ex_fr_female$Type: Observed Year: 1946 Ex: 13.570000","Age: 66 ex_fr_female$Type: Observed Year: 1947 Ex: 13.780000","Age: 66 ex_fr_female$Type: Observed Year: 1948 Ex: 14.280000","Age: 66 ex_fr_female$Type: Observed Year: 1949 Ex: 13.240000","Age: 66 ex_fr_female$Type: Observed Year: 1950 Ex: 13.910000","Age: 66 ex_fr_female$Type: Observed Year: 1951 Ex: 13.500000","Age: 66 ex_fr_female$Type: Observed Year: 1952 Ex: 14.120000","Age: 66 ex_fr_female$Type: Observed Year: 1953 Ex: 13.630000","Age: 66 ex_fr_female$Type: Observed Year: 1954 Ex: 14.380000","Age: 66 ex_fr_female$Type: Observed Year: 1955 Ex: 14.340000","Age: 66 ex_fr_female$Type: Observed Year: 1956 Ex: 14.120000","Age: 66 ex_fr_female$Type: Observed Year: 1957 Ex: 14.480000","Age: 66 ex_fr_female$Type: Observed Year: 1958 Ex: 14.880000","Age: 66 ex_fr_female$Type: Observed Year: 1959 Ex: 14.950000","Age: 66 ex_fr_female$Type: Observed Year: 1960 Ex: 14.880000","Age: 66 ex_fr_female$Type: Observed Year: 1961 Ex: 15.400000","Age: 66 ex_fr_female$Type: Observed Year: 1962 Ex: 14.930000","Age: 66 ex_fr_female$Type: Observed Year: 1963 Ex: 14.860000","Age: 66 ex_fr_female$Type: Observed Year: 1964 Ex: 15.590000","Age: 66 ex_fr_female$Type: Observed Year: 1965 Ex: 15.380000","Age: 66 ex_fr_female$Type: Observed Year: 1966 Ex: 15.740000","Age: 66 ex_fr_female$Type: Observed Year: 1967 Ex: 15.690000","Age: 66 ex_fr_female$Type: Observed Year: 1968 Ex: 15.650000","Age: 66 ex_fr_female$Type: Observed Year: 1969 Ex: 15.510000","Age: 66 ex_fr_female$Type: Observed Year: 1970 Ex: 16.000000","Age: 66 ex_fr_female$Type: Observed Year: 1971 Ex: 16.000000","Age: 66 ex_fr_female$Type: Observed Year: 1972 Ex: 16.240000","Age: 66 ex_fr_female$Type: Observed Year: 1973 Ex: 16.160000","Age: 66 ex_fr_female$Type: Observed Year: 1974 Ex: 16.410000","Age: 66 ex_fr_female$Type: Observed Year: 1975 Ex: 16.440000","Age: 66 ex_fr_female$Type: Observed Year: 1976 Ex: 16.620000","Age: 66 ex_fr_female$Type: Observed Year: 1977 Ex: 17.100000","Age: 66 ex_fr_female$Type: Observed Year: 1978 Ex: 17.100000","Age: 66 ex_fr_female$Type: Observed Year: 1979 Ex: 17.350000","Age: 66 ex_fr_female$Type: Observed Year: 1980 Ex: 17.420000","Age: 66 ex_fr_female$Type: Observed Year: 1981 Ex: 17.390000","Age: 66 ex_fr_female$Type: Observed Year: 1982 Ex: 17.700000","Age: 66 ex_fr_female$Type: Observed Year: 1983 Ex: 17.570000","Age: 66 ex_fr_female$Type: Observed Year: 1984 Ex: 17.970000","Age: 66 ex_fr_female$Type: Observed Year: 1985 Ex: 17.970000","Age: 66 ex_fr_female$Type: Observed Year: 1986 Ex: 18.170000","Age: 66 ex_fr_female$Type: Observed Year: 1987 Ex: 18.620000","Age: 66 ex_fr_female$Type: Observed Year: 1988 Ex: 18.800000","Age: 66 ex_fr_female$Type: Observed Year: 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Observed Year: 2005 Ex: 21.130000","Age: 66 ex_fr_female$Type: Observed Year: 2006 Ex: 21.490000","Age: 66 ex_fr_female$Type: Observed Year: 2007 Ex: 21.610000","Age: 66 ex_fr_female$Type: Observed Year: 2008 Ex: 21.580000","Age: 66 ex_fr_female$Type: Observed Year: 2009 Ex: 21.690000","Age: 66 ex_fr_female$Type: Observed Year: 2010 Ex: 21.850000","Age: 66 ex_fr_female$Type: Observed Year: 2011 Ex: 22.140000","Age: 66 ex_fr_female$Type: Observed Year: 2012 Ex: 21.940000","Age: 66 ex_fr_female$Type: Observed Year: 2013 Ex: 22.120000","Age: 66 ex_fr_female$Type: Observed Year: 2014 Ex: 22.460000","Age: 66 ex_fr_female$Type: Observed Year: 2015 Ex: 22.170000","Age: 66 ex_fr_female$Type: Observed Year: 2016 Ex: 22.340000","Age: 66 ex_fr_female$Type: Observed Year: 2017 Ex: 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66 ex_fr_female$Type: Predicted Year: 1816 Ex: 10.673104","Age: 66 ex_fr_female$Type: Predicted Year: 1817 Ex: 10.890174","Age: 66 ex_fr_female$Type: Predicted Year: 1818 Ex: 10.919191","Age: 66 ex_fr_female$Type: Predicted Year: 1819 Ex: 11.086212","Age: 66 ex_fr_female$Type: Predicted Year: 1820 Ex: 10.571984","Age: 66 ex_fr_female$Type: Predicted Year: 1821 Ex: 11.342391","Age: 66 ex_fr_female$Type: Predicted Year: 1822 Ex: 11.282761","Age: 66 ex_fr_female$Type: Predicted Year: 1823 Ex: 11.318832","Age: 66 ex_fr_female$Type: Predicted Year: 1824 Ex: 11.525726","Age: 66 ex_fr_female$Type: Predicted Year: 1825 Ex: 11.346793","Age: 66 ex_fr_female$Type: Predicted Year: 1826 Ex: 10.797478","Age: 66 ex_fr_female$Type: Predicted Year: 1827 Ex: 11.103407","Age: 66 ex_fr_female$Type: Predicted Year: 1828 Ex: 10.859320","Age: 66 ex_fr_female$Type: Predicted Year: 1829 Ex: 10.565815","Age: 66 ex_fr_female$Type: Predicted Year: 1830 Ex: 10.609717","Age: 66 ex_fr_female$Type: Predicted Year: 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ex_fr_female$Type: Predicted Year: 1847 Ex: 10.318837","Age: 66 ex_fr_female$Type: Predicted Year: 1848 Ex: 10.621132","Age: 66 ex_fr_female$Type: Predicted Year: 1849 Ex: 10.225098","Age: 66 ex_fr_female$Type: Predicted Year: 1850 Ex: 11.134685","Age: 66 ex_fr_female$Type: Predicted Year: 1851 Ex: 10.940505","Age: 66 ex_fr_female$Type: Predicted Year: 1852 Ex: 11.019925","Age: 66 ex_fr_female$Type: Predicted Year: 1853 Ex: 10.675484","Age: 66 ex_fr_female$Type: Predicted Year: 1854 Ex: 9.888717","Age: 66 ex_fr_female$Type: Predicted Year: 1855 Ex: 10.143888","Age: 66 ex_fr_female$Type: Predicted Year: 1856 Ex: 11.030851","Age: 66 ex_fr_female$Type: Predicted Year: 1857 Ex: 10.749604","Age: 66 ex_fr_female$Type: Predicted Year: 1858 Ex: 10.240572","Age: 66 ex_fr_female$Type: Predicted Year: 1859 Ex: 10.407017","Age: 66 ex_fr_female$Type: Predicted Year: 1860 Ex: 11.041304","Age: 66 ex_fr_female$Type: Predicted Year: 1861 Ex: 11.084881","Age: 66 ex_fr_female$Type: Predicted Year: 1862 Ex: 11.157692","Age: 66 ex_fr_female$Type: Predicted Year: 1863 Ex: 10.966955","Age: 66 ex_fr_female$Type: Predicted Year: 1864 Ex: 10.638912","Age: 66 ex_fr_female$Type: Predicted Year: 1865 Ex: 10.520968","Age: 66 ex_fr_female$Type: Predicted Year: 1866 Ex: 10.704352","Age: 66 ex_fr_female$Type: Predicted Year: 1867 Ex: 10.723251","Age: 66 ex_fr_female$Type: Predicted Year: 1868 Ex: 10.624526","Age: 66 ex_fr_female$Type: Predicted Year: 1869 Ex: 10.738740","Age: 66 ex_fr_female$Type: Predicted Year: 1870 Ex: 9.933557","Age: 66 ex_fr_female$Type: Predicted Year: 1871 Ex: 9.821939","Age: 66 ex_fr_female$Type: Predicted Year: 1872 Ex: 11.657313","Age: 66 ex_fr_female$Type: Predicted Year: 1873 Ex: 11.061288","Age: 66 ex_fr_female$Type: Predicted Year: 1874 Ex: 11.343405","Age: 66 ex_fr_female$Type: Predicted Year: 1875 Ex: 10.837545","Age: 66 ex_fr_female$Type: Predicted Year: 1876 Ex: 11.206303","Age: 66 ex_fr_female$Type: Predicted Year: 1877 Ex: 11.490306","Age: 66 ex_fr_female$Type: Predicted Year: 1878 Ex: 11.042405","Age: 66 ex_fr_female$Type: Predicted Year: 1879 Ex: 10.826641","Age: 66 ex_fr_female$Type: Predicted Year: 1880 Ex: 11.115048","Age: 66 ex_fr_female$Type: Predicted Year: 1881 Ex: 11.533519","Age: 66 ex_fr_female$Type: Predicted Year: 1882 Ex: 11.539215","Age: 66 ex_fr_female$Type: Predicted Year: 1883 Ex: 11.452025","Age: 66 ex_fr_female$Type: Predicted Year: 1884 Ex: 11.523367","Age: 66 ex_fr_female$Type: Predicted Year: 1885 Ex: 11.519281","Age: 66 ex_fr_female$Type: Predicted Year: 1886 Ex: 11.464252","Age: 66 ex_fr_female$Type: Predicted Year: 1887 Ex: 11.424670","Age: 66 ex_fr_female$Type: Predicted Year: 1888 Ex: 11.216216","Age: 66 ex_fr_female$Type: Predicted Year: 1889 Ex: 11.546783","Age: 66 ex_fr_female$Type: Predicted Year: 1890 Ex: 10.890631","Age: 66 ex_fr_female$Type: Predicted Year: 1891 Ex: 10.487154","Age: 66 ex_fr_female$Type: Predicted Year: 1892 Ex: 10.584460","Age: 66 ex_fr_female$Type: Predicted Year: 1893 Ex: 10.657480","Age: 66 ex_fr_female$Type: Predicted Year: 1894 Ex: 11.088329","Age: 66 ex_fr_female$Type: Predicted Year: 1895 Ex: 10.658660","Age: 66 ex_fr_female$Type: Predicted Year: 1896 Ex: 11.428901","Age: 66 ex_fr_female$Type: Predicted Year: 1897 Ex: 11.652982","Age: 66 ex_fr_female$Type: Predicted Year: 1898 Ex: 11.124711","Age: 66 ex_fr_female$Type: Predicted Year: 1899 Ex: 11.173477","Age: 66 ex_fr_female$Type: Predicted Year: 1900 Ex: 10.668599","Age: 66 ex_fr_female$Type: Predicted Year: 1901 Ex: 11.286037","Age: 66 ex_fr_female$Type: Predicted Year: 1902 Ex: 11.490071","Age: 66 ex_fr_female$Type: Predicted Year: 1903 Ex: 11.453421","Age: 66 ex_fr_female$Type: Predicted Year: 1904 Ex: 11.386900","Age: 66 ex_fr_female$Type: Predicted Year: 1905 Ex: 11.266394","Age: 66 ex_fr_female$Type: Predicted Year: 1906 Ex: 11.332904","Age: 66 ex_fr_female$Type: Predicted Year: 1907 Ex: 10.940866","Age: 66 ex_fr_female$Type: Predicted Year: 1908 Ex: 11.475017","Age: 66 ex_fr_female$Type: Predicted Year: 1909 Ex: 11.035375","Age: 66 ex_fr_female$Type: Predicted Year: 1910 Ex: 11.709073","Age: 66 ex_fr_female$Type: Predicted Year: 1911 Ex: 11.166300","Age: 66 ex_fr_female$Type: Predicted Year: 1912 Ex: 11.853285","Age: 66 ex_fr_female$Type: Predicted Year: 1913 Ex: 11.800208","Age: 66 ex_fr_female$Type: Predicted Year: 1914 Ex: 11.276429","Age: 66 ex_fr_female$Type: Predicted Year: 1915 Ex: 11.408038","Age: 66 ex_fr_female$Type: Predicted Year: 1916 Ex: 11.521762","Age: 66 ex_fr_female$Type: Predicted Year: 1917 Ex: 11.304575","Age: 66 ex_fr_female$Type: Predicted Year: 1918 Ex: 11.332054","Age: 66 ex_fr_female$Type: Predicted Year: 1919 Ex: 11.515966","Age: 66 ex_fr_female$Type: Predicted Year: 1920 Ex: 12.203152","Age: 66 ex_fr_female$Type: Predicted Year: 1921 Ex: 12.127077","Age: 66 ex_fr_female$Type: Predicted Year: 1922 Ex: 11.738805","Age: 66 ex_fr_female$Type: Predicted Year: 1923 Ex: 12.343197","Age: 66 ex_fr_female$Type: Predicted Year: 1924 Ex: 12.093989","Age: 66 ex_fr_female$Type: Predicted Year: 1925 Ex: 11.970890","Age: 66 ex_fr_female$Type: Predicted Year: 1926 Ex: 12.072984","Age: 66 ex_fr_female$Type: Predicted Year: 1927 Ex: 12.204302","Age: 66 ex_fr_female$Type: Predicted Year: 1928 Ex: 12.387180","Age: 66 ex_fr_female$Type: Predicted Year: 1929 Ex: 11.593959","Age: 66 ex_fr_female$Type: Predicted Year: 1930 Ex: 12.840124","Age: 66 ex_fr_female$Type: Predicted Year: 1931 Ex: 12.197766","Age: 66 ex_fr_female$Type: Predicted Year: 1932 Ex: 12.511734","Age: 66 ex_fr_female$Type: Predicted Year: 1933 Ex: 12.482639","Age: 66 ex_fr_female$Type: Predicted Year: 1934 Ex: 12.936515","Age: 66 ex_fr_female$Type: Predicted Year: 1935 Ex: 12.597719","Age: 66 ex_fr_female$Type: Predicted Year: 1936 Ex: 12.777498","Age: 66 ex_fr_female$Type: Predicted Year: 1937 Ex: 13.046224","Age: 66 ex_fr_female$Type: Predicted Year: 1938 Ex: 12.837122","Age: 66 ex_fr_female$Type: Predicted Year: 1939 Ex: 12.692820","Age: 66 ex_fr_female$Type: Predicted Year: 1940 Ex: 11.537175","Age: 66 ex_fr_female$Type: Predicted Year: 1941 Ex: 12.459611","Age: 66 ex_fr_female$Type: Predicted Year: 1942 Ex: 12.513059","Age: 66 ex_fr_female$Type: Predicted Year: 1943 Ex: 12.717016","Age: 66 ex_fr_female$Type: Predicted Year: 1944 Ex: 12.031927","Age: 66 ex_fr_female$Type: Predicted Year: 1945 Ex: 12.795273","Age: 66 ex_fr_female$Type: Predicted Year: 1946 Ex: 13.872147","Age: 66 ex_fr_female$Type: Predicted Year: 1947 Ex: 14.077835","Age: 66 ex_fr_female$Type: Predicted Year: 1948 Ex: 14.583312","Age: 66 ex_fr_female$Type: Predicted Year: 1949 Ex: 13.538328","Age: 66 ex_fr_female$Type: Predicted Year: 1950 Ex: 14.209247","Age: 66 ex_fr_female$Type: Predicted Year: 1951 Ex: 13.794359","Age: 66 ex_fr_female$Type: Predicted Year: 1952 Ex: 14.416355","Age: 66 ex_fr_female$Type: Predicted Year: 1953 Ex: 13.924619","Age: 66 ex_fr_female$Type: Predicted Year: 1954 Ex: 14.677472","Age: 66 ex_fr_female$Type: Predicted Year: 1955 Ex: 14.636275","Age: 66 ex_fr_female$Type: Predicted Year: 1956 Ex: 14.415175","Age: 66 ex_fr_female$Type: Predicted Year: 1957 Ex: 14.771285","Age: 66 ex_fr_female$Type: Predicted Year: 1958 Ex: 15.171581","Age: 66 ex_fr_female$Type: Predicted Year: 1959 Ex: 15.236522","Age: 66 ex_fr_female$Type: Predicted Year: 1960 Ex: 15.166358","Age: 66 ex_fr_female$Type: Predicted Year: 1961 Ex: 15.695078","Age: 66 ex_fr_female$Type: Predicted Year: 1962 Ex: 15.220690","Age: 66 ex_fr_female$Type: Predicted Year: 1963 Ex: 15.153765","Age: 66 ex_fr_female$Type: Predicted Year: 1964 Ex: 15.876525","Age: 66 ex_fr_female$Type: Predicted Year: 1965 Ex: 15.668571","Age: 66 ex_fr_female$Type: Predicted Year: 1966 Ex: 16.033042","Age: 66 ex_fr_female$Type: Predicted Year: 1967 Ex: 15.974073","Age: 66 ex_fr_female$Type: Predicted Year: 1968 Ex: 15.938940","Age: 66 ex_fr_female$Type: Predicted Year: 1969 Ex: 15.799474","Age: 66 ex_fr_female$Type: Predicted Year: 1970 Ex: 16.286548","Age: 66 ex_fr_female$Type: Predicted Year: 1971 Ex: 16.284290","Age: 66 ex_fr_female$Type: Predicted Year: 1972 Ex: 16.523867","Age: 66 ex_fr_female$Type: Predicted Year: 1973 Ex: 16.448276","Age: 66 ex_fr_female$Type: Predicted Year: 1974 Ex: 16.696970","Age: 66 ex_fr_female$Type: Predicted Year: 1975 Ex: 16.722926","Age: 66 ex_fr_female$Type: Predicted Year: 1976 Ex: 16.906129","Age: 66 ex_fr_female$Type: Predicted Year: 1977 Ex: 17.378885","Age: 66 ex_fr_female$Type: Predicted Year: 1978 Ex: 17.379918","Age: 66 ex_fr_female$Type: Predicted Year: 1979 Ex: 17.627733","Age: 66 ex_fr_female$Type: Predicted Year: 1980 Ex: 17.697192","Age: 66 ex_fr_female$Type: Predicted Year: 1981 Ex: 17.667274","Age: 66 ex_fr_female$Type: Predicted Year: 1982 Ex: 17.981254","Age: 66 ex_fr_female$Type: Predicted Year: 1983 Ex: 17.850291","Age: 66 ex_fr_female$Type: Predicted Year: 1984 Ex: 18.254674","Age: 66 ex_fr_female$Type: Predicted Year: 1985 Ex: 18.248355","Age: 66 ex_fr_female$Type: Predicted Year: 1986 Ex: 18.446931","Age: 66 ex_fr_female$Type: Predicted Year: 1987 Ex: 18.900783","Age: 66 ex_fr_female$Type: Predicted Year: 1988 Ex: 19.076208","Age: 66 ex_fr_female$Type: Predicted Year: 1989 Ex: 19.209855","Age: 66 ex_fr_female$Type: Predicted Year: 1990 Ex: 19.371626","Age: 66 ex_fr_female$Type: Predicted Year: 1991 Ex: 19.593753","Age: 66 ex_fr_female$Type: Predicted Year: 1992 Ex: 19.798815","Age: 66 ex_fr_female$Type: Predicted Year: 1993 Ex: 19.799298","Age: 66 ex_fr_female$Type: Predicted Year: 1994 Ex: 20.136604","Age: 66 ex_fr_female$Type: Predicted Year: 1995 Ex: 20.083048","Age: 66 ex_fr_female$Type: Predicted Year: 1996 Ex: 20.149644","Age: 66 ex_fr_female$Type: Predicted Year: 1997 Ex: 20.294893","Age: 66 ex_fr_female$Type: Predicted Year: 1998 Ex: 20.368115","Age: 66 ex_fr_female$Type: Predicted Year: 1999 Ex: 20.408999","Age: 66 ex_fr_female$Type: Predicted Year: 2000 Ex: 20.641418","Age: 66 ex_fr_female$Type: Predicted Year: 2001 Ex: 20.798894","Age: 66 ex_fr_female$Type: Predicted Year: 2002 Ex: 20.822161","Age: 66 ex_fr_female$Type: Predicted Year: 2003 Ex: 20.675548","Age: 66 ex_fr_female$Type: Predicted Year: 2004 Ex: 21.545038","Age: 66 ex_fr_female$Type: Predicted Year: 2005 Ex: 21.405131","Age: 66 ex_fr_female$Type: Predicted Year: 2006 Ex: 21.758789","Age: 66 ex_fr_female$Type: Predicted Year: 2007 Ex: 21.880268","Age: 66 ex_fr_female$Type: Predicted Year: 2008 Ex: 21.851443","Age: 66 ex_fr_female$Type: Predicted Year: 2009 Ex: 21.955988","Age: 66 ex_fr_female$Type: Predicted Year: 2010 Ex: 22.116803","Age: 66 ex_fr_female$Type: Predicted Year: 2011 Ex: 22.405984","Age: 66 ex_fr_female$Type: Predicted Year: 2012 Ex: 22.205378","Age: 66 ex_fr_female$Type: Predicted Year: 2013 Ex: 22.384515","Age: 66 ex_fr_female$Type: Predicted Year: 2014 Ex: 22.728831","Age: 66 ex_fr_female$Type: Predicted Year: 2015 Ex: 22.433428","Age: 66 ex_fr_female$Type: Predicted Year: 2016 Ex: 22.603373","Age: 66 ex_fr_female$Type: Predicted Year: 2017 Ex: 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1911 Ex: 10.260000","Age: 67 ex_fr_female$Type: Observed Year: 1912 Ex: 10.940000","Age: 67 ex_fr_female$Type: Observed Year: 1913 Ex: 10.910000","Age: 67 ex_fr_female$Type: Observed Year: 1914 Ex: 10.350000","Age: 67 ex_fr_female$Type: Observed Year: 1915 Ex: 10.490000","Age: 67 ex_fr_female$Type: Observed Year: 1916 Ex: 10.620000","Age: 67 ex_fr_female$Type: Observed Year: 1917 Ex: 10.400000","Age: 67 ex_fr_female$Type: Observed Year: 1918 Ex: 10.430000","Age: 67 ex_fr_female$Type: Observed Year: 1919 Ex: 10.600000","Age: 67 ex_fr_female$Type: Observed Year: 1920 Ex: 11.280000","Age: 67 ex_fr_female$Type: Observed Year: 1921 Ex: 11.190000","Age: 67 ex_fr_female$Type: Observed Year: 1922 Ex: 10.820000","Age: 67 ex_fr_female$Type: Observed Year: 1923 Ex: 11.430000","Age: 67 ex_fr_female$Type: Observed Year: 1924 Ex: 11.180000","Age: 67 ex_fr_female$Type: Observed Year: 1925 Ex: 11.060000","Age: 67 ex_fr_female$Type: Observed Year: 1926 Ex: 11.150000","Age: 67 ex_fr_female$Type: Observed Year: 1927 Ex: 11.250000","Age: 67 ex_fr_female$Type: Observed Year: 1928 Ex: 11.460000","Age: 67 ex_fr_female$Type: Observed Year: 1929 Ex: 10.680000","Age: 67 ex_fr_female$Type: Observed Year: 1930 Ex: 11.920000","Age: 67 ex_fr_female$Type: Observed Year: 1931 Ex: 11.270000","Age: 67 ex_fr_female$Type: Observed Year: 1932 Ex: 11.580000","Age: 67 ex_fr_female$Type: Observed Year: 1933 Ex: 11.560000","Age: 67 ex_fr_female$Type: Observed Year: 1934 Ex: 12.010000","Age: 67 ex_fr_female$Type: Observed Year: 1935 Ex: 11.670000","Age: 67 ex_fr_female$Type: Observed Year: 1936 Ex: 11.840000","Age: 67 ex_fr_female$Type: Observed Year: 1937 Ex: 12.100000","Age: 67 ex_fr_female$Type: Observed Year: 1938 Ex: 11.890000","Age: 67 ex_fr_female$Type: Observed Year: 1939 Ex: 11.760000","Age: 67 ex_fr_female$Type: Observed Year: 1940 Ex: 10.630000","Age: 67 ex_fr_female$Type: Observed Year: 1941 Ex: 11.520000","Age: 67 ex_fr_female$Type: Observed Year: 1942 Ex: 11.570000","Age: 67 ex_fr_female$Type: Observed Year: 1943 Ex: 11.770000","Age: 67 ex_fr_female$Type: Observed Year: 1944 Ex: 11.100000","Age: 67 ex_fr_female$Type: Observed Year: 1945 Ex: 11.840000","Age: 67 ex_fr_female$Type: Observed Year: 1946 Ex: 12.900000","Age: 67 ex_fr_female$Type: Observed Year: 1947 Ex: 13.090000","Age: 67 ex_fr_female$Type: Observed Year: 1948 Ex: 13.590000","Age: 67 ex_fr_female$Type: Observed Year: 1949 Ex: 12.560000","Age: 67 ex_fr_female$Type: Observed Year: 1950 Ex: 13.220000","Age: 67 ex_fr_female$Type: Observed Year: 1951 Ex: 12.800000","Age: 67 ex_fr_female$Type: Observed Year: 1952 Ex: 13.430000","Age: 67 ex_fr_female$Type: Observed Year: 1953 Ex: 12.930000","Age: 67 ex_fr_female$Type: Observed Year: 1954 Ex: 13.670000","Age: 67 ex_fr_female$Type: Observed Year: 1955 Ex: 13.630000","Age: 67 ex_fr_female$Type: Observed Year: 1956 Ex: 13.420000","Age: 67 ex_fr_female$Type: Observed Year: 1957 Ex: 13.770000","Age: 67 ex_fr_female$Type: Observed Year: 1958 Ex: 14.150000","Age: 67 ex_fr_female$Type: Observed Year: 1959 Ex: 14.220000","Age: 67 ex_fr_female$Type: Observed Year: 1960 Ex: 14.160000","Age: 67 ex_fr_female$Type: Observed Year: 1961 Ex: 14.670000","Age: 67 ex_fr_female$Type: Observed Year: 1962 Ex: 14.190000","Age: 67 ex_fr_female$Type: Observed Year: 1963 Ex: 14.130000","Age: 67 ex_fr_female$Type: Observed Year: 1964 Ex: 14.840000","Age: 67 ex_fr_female$Type: Observed Year: 1965 Ex: 14.630000","Age: 67 ex_fr_female$Type: Observed Year: 1966 Ex: 14.990000","Age: 67 ex_fr_female$Type: Observed Year: 1967 Ex: 14.940000","Age: 67 ex_fr_female$Type: Observed Year: 1968 Ex: 14.900000","Age: 67 ex_fr_female$Type: Observed Year: 1969 Ex: 14.770000","Age: 67 ex_fr_female$Type: Observed Year: 1970 Ex: 15.240000","Age: 67 ex_fr_female$Type: Observed Year: 1971 Ex: 15.240000","Age: 67 ex_fr_female$Type: Observed Year: 1972 Ex: 15.480000","Age: 67 ex_fr_female$Type: Observed Year: 1973 Ex: 15.390000","Age: 67 ex_fr_female$Type: Observed Year: 1974 Ex: 15.640000","Age: 67 ex_fr_female$Type: Observed Year: 1975 Ex: 15.660000","Age: 67 ex_fr_female$Type: Observed Year: 1976 Ex: 15.850000","Age: 67 ex_fr_female$Type: Observed Year: 1977 Ex: 16.300000","Age: 67 ex_fr_female$Type: Observed Year: 1978 Ex: 16.300000","Age: 67 ex_fr_female$Type: Observed Year: 1979 Ex: 16.550000","Age: 67 ex_fr_female$Type: Observed Year: 1980 Ex: 16.610000","Age: 67 ex_fr_female$Type: Observed Year: 1981 Ex: 16.590000","Age: 67 ex_fr_female$Type: Observed Year: 1982 Ex: 16.900000","Age: 67 ex_fr_female$Type: Observed Year: 1983 Ex: 16.760000","Age: 67 ex_fr_female$Type: Observed Year: 1984 Ex: 17.160000","Age: 67 ex_fr_female$Type: Observed Year: 1985 Ex: 17.150000","Age: 67 ex_fr_female$Type: Observed Year: 1986 Ex: 17.350000","Age: 67 ex_fr_female$Type: Observed Year: 1987 Ex: 17.800000","Age: 67 ex_fr_female$Type: Observed Year: 1988 Ex: 17.980000","Age: 67 ex_fr_female$Type: Observed Year: 1989 Ex: 18.110000","Age: 67 ex_fr_female$Type: Observed Year: 1990 Ex: 18.260000","Age: 67 ex_fr_female$Type: Observed Year: 1991 Ex: 18.490000","Age: 67 ex_fr_female$Type: Observed Year: 1992 Ex: 18.700000","Age: 67 ex_fr_female$Type: Observed Year: 1993 Ex: 18.690000","Age: 67 ex_fr_female$Type: Observed Year: 1994 Ex: 19.030000","Age: 67 ex_fr_female$Type: Observed Year: 1995 Ex: 18.990000","Age: 67 ex_fr_female$Type: Observed Year: 1996 Ex: 19.040000","Age: 67 ex_fr_female$Type: Observed Year: 1997 Ex: 19.190000","Age: 67 ex_fr_female$Type: Observed Year: 1998 Ex: 19.260000","Age: 67 ex_fr_female$Type: Observed Year: 1999 Ex: 19.290000","Age: 67 ex_fr_female$Type: Observed Year: 2000 Ex: 19.520000","Age: 67 ex_fr_female$Type: Observed Year: 2001 Ex: 19.680000","Age: 67 ex_fr_female$Type: Observed Year: 2002 Ex: 19.700000","Age: 67 ex_fr_female$Type: Observed Year: 2003 Ex: 19.550000","Age: 67 ex_fr_female$Type: Observed Year: 2004 Ex: 20.410000","Age: 67 ex_fr_female$Type: Observed Year: 2005 Ex: 20.280000","Age: 67 ex_fr_female$Type: Observed Year: 2006 Ex: 20.630000","Age: 67 ex_fr_female$Type: Observed Year: 2007 Ex: 20.750000","Age: 67 ex_fr_female$Type: Observed Year: 2008 Ex: 20.720000","Age: 67 ex_fr_female$Type: Observed Year: 2009 Ex: 20.830000","Age: 67 ex_fr_female$Type: Observed Year: 2010 Ex: 20.990000","Age: 67 ex_fr_female$Type: Observed Year: 2011 Ex: 21.280000","Age: 67 ex_fr_female$Type: Observed Year: 2012 Ex: 21.070000","Age: 67 ex_fr_female$Type: Observed Year: 2013 Ex: 21.250000","Age: 67 ex_fr_female$Type: Observed Year: 2014 Ex: 21.600000","Age: 67 ex_fr_female$Type: Observed Year: 2015 Ex: 21.300000","Age: 67 ex_fr_female$Type: Observed Year: 2016 Ex: 21.480000","Age: 67 ex_fr_female$Type: Observed Year: 2017 Ex: 21.440000"],"frame":"67","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[10.1609334690704,10.3867784476821,10.4207875824008,10.5895226089525,10.084894222863,10.8401678355092,10.7739646432718,10.7920038406254,11.0085222186066,10.8422751959932,10.3072628503735,10.6109805533652,10.3527119219288,10.0637086135569,10.1010807178402,10.2955713358808,9.3345714648997,10.4725966413419,10.1787836604953,10.5191205089824,10.6471865230776,9.34303813728485,10.2540380489129,10.7341369804776,10.2579607544166,10.7227149802055,10.2105837276906,10.4436088296518,10.5571260577253,10.7419574686993,10.5498715079005,9.80183398178985,10.0861126835677,9.73938353098898,10.5945849885806,10.4071654747861,10.4861775313673,10.1389161411641,9.41562960557738,9.64179438813015,10.5092565819662,10.2344399658224,9.74705875444468,9.90881847256705,10.4989260628455,10.5261790496103,10.6111370702754,10.4453045878548,10.1214874343007,10.0072826860186,10.2008507785723,10.2119844268258,10.1063110661934,10.210195454613,9.40701438364135,9.2992028919633,11.0870683316835,10.5150377500107,10.788363718752,10.3009001902098,10.6585783879393,10.9332836690306,10.5054691286707,10.2935016975032,10.5744313464614,10.9863944318137,11.0034820995991,10.9223339657714,10.9795003171566,10.9745559388478,10.9220517170631,10.8843471883835,10.662096138797,10.9962919564165,10.3626667075011,9.96051807103801,10.0503950454184,10.1237056475626,10.5397058230568,10.1151651194073,10.8640594310849,11.0829178539623,10.5561598331956,10.6185800511932,10.1449162879605,10.7305517195289,10.906307283517,10.8806724022435,10.815857057491,10.6983301807687,10.7499382911539,10.3742009156276,10.9079029161231,10.4822971323978,11.1418701727287,10.5829062790035,11.2638452635677,11.2299512114908,10.6691447692579,10.8140354951503,10.941716349871,10.7228767205093,10.7525450291937,10.9175255619424,11.5981341985051,11.5096370107468,11.1341642777415,11.7431508856201,11.5014826058214,11.3739384310642,11.4660860006214,11.5599340920928,11.7715449243684,10.9941066691886,12.2339114703868,11.5841025183582,11.8936791521977,11.8746698999559,12.3179840577671,11.9821481246179,12.1471299977591,12.4044419085095,12.2019416404779,12.0670656719247,10.9366472012283,11.8295343248947,11.8780727870856,12.0746351965972,11.4113560906684,12.145187365311,13.198757296629,13.3932028246472,13.8950068802903,12.8676104134921,13.5172890082252,13.1017819147734,13.7281963210814,13.2291485190501,13.9706858973693,13.9312348890371,13.7130532559422,14.0622154981966,14.4461367596737,14.5160478923578,14.4487380347739,14.9616383996709,14.4870196326306,14.4251512159687,15.1354749863309,14.9210888039914,15.2854689784155,15.2286879117718,15.1851318782217,15.0636625446535,15.5325090312497,15.5254075619624,15.7652280799935,15.6768464528712,15.92598266199,15.9478639629867,16.1352712365069,16.5869258842875,16.5876294785369,16.8317331869089,16.8934937278981,16.8713972783123,17.1807988869749,17.0464105522781,17.4454913939488,17.4355170809376,17.6323783186975,18.0847861233079,18.2591517627376,18.3844810346026,18.540714836491,18.7684933458078,18.9766005563719,18.9696880493297,19.3101696962594,19.2614755569175,19.3136141718035,19.4620708209717,19.5343089071799,19.5644963037574,19.7948737508348,19.9519133320748,19.9747411900619,19.8272312764614,20.683335839357,20.5519809535271,20.9019158616137,21.022060343506,20.9956230585417,21.1019546807548,21.2608162672702,21.5472934359211,21.3405885528077,21.5239241631668,21.8679730038134,21.5724867582413,21.749293111549,21.7086119852277],"text":["Age: 67 ex_fr_female$Type: Predicted Year: 1816 Ex: 10.160933","Age: 67 ex_fr_female$Type: Predicted Year: 1817 Ex: 10.386778","Age: 67 ex_fr_female$Type: Predicted Year: 1818 Ex: 10.420788","Age: 67 ex_fr_female$Type: Predicted Year: 1819 Ex: 10.589523","Age: 67 ex_fr_female$Type: Predicted Year: 1820 Ex: 10.084894","Age: 67 ex_fr_female$Type: Predicted Year: 1821 Ex: 10.840168","Age: 67 ex_fr_female$Type: Predicted Year: 1822 Ex: 10.773965","Age: 67 ex_fr_female$Type: Predicted Year: 1823 Ex: 10.792004","Age: 67 ex_fr_female$Type: Predicted Year: 1824 Ex: 11.008522","Age: 67 ex_fr_female$Type: Predicted Year: 1825 Ex: 10.842275","Age: 67 ex_fr_female$Type: Predicted Year: 1826 Ex: 10.307263","Age: 67 ex_fr_female$Type: Predicted Year: 1827 Ex: 10.610981","Age: 67 ex_fr_female$Type: Predicted Year: 1828 Ex: 10.352712","Age: 67 ex_fr_female$Type: Predicted Year: 1829 Ex: 10.063709","Age: 67 ex_fr_female$Type: Predicted Year: 1830 Ex: 10.101081","Age: 67 ex_fr_female$Type: Predicted Year: 1831 Ex: 10.295571","Age: 67 ex_fr_female$Type: Predicted Year: 1832 Ex: 9.334571","Age: 67 ex_fr_female$Type: Predicted Year: 1833 Ex: 10.472597","Age: 67 ex_fr_female$Type: Predicted Year: 1834 Ex: 10.178784","Age: 67 ex_fr_female$Type: Predicted Year: 1835 Ex: 10.519121","Age: 67 ex_fr_female$Type: Predicted Year: 1836 Ex: 10.647187","Age: 67 ex_fr_female$Type: Predicted Year: 1837 Ex: 9.343038","Age: 67 ex_fr_female$Type: Predicted Year: 1838 Ex: 10.254038","Age: 67 ex_fr_female$Type: Predicted Year: 1839 Ex: 10.734137","Age: 67 ex_fr_female$Type: Predicted Year: 1840 Ex: 10.257961","Age: 67 ex_fr_female$Type: Predicted Year: 1841 Ex: 10.722715","Age: 67 ex_fr_female$Type: Predicted Year: 1842 Ex: 10.210584","Age: 67 ex_fr_female$Type: Predicted Year: 1843 Ex: 10.443609","Age: 67 ex_fr_female$Type: Predicted Year: 1844 Ex: 10.557126","Age: 67 ex_fr_female$Type: Predicted Year: 1845 Ex: 10.741957","Age: 67 ex_fr_female$Type: Predicted Year: 1846 Ex: 10.549872","Age: 67 ex_fr_female$Type: Predicted Year: 1847 Ex: 9.801834","Age: 67 ex_fr_female$Type: Predicted Year: 1848 Ex: 10.086113","Age: 67 ex_fr_female$Type: Predicted Year: 1849 Ex: 9.739384","Age: 67 ex_fr_female$Type: Predicted Year: 1850 Ex: 10.594585","Age: 67 ex_fr_female$Type: Predicted Year: 1851 Ex: 10.407165","Age: 67 ex_fr_female$Type: Predicted Year: 1852 Ex: 10.486178","Age: 67 ex_fr_female$Type: Predicted Year: 1853 Ex: 10.138916","Age: 67 ex_fr_female$Type: Predicted Year: 1854 Ex: 9.415630","Age: 67 ex_fr_female$Type: Predicted Year: 1855 Ex: 9.641794","Age: 67 ex_fr_female$Type: Predicted Year: 1856 Ex: 10.509257","Age: 67 ex_fr_female$Type: Predicted Year: 1857 Ex: 10.234440","Age: 67 ex_fr_female$Type: Predicted Year: 1858 Ex: 9.747059","Age: 67 ex_fr_female$Type: Predicted Year: 1859 Ex: 9.908818","Age: 67 ex_fr_female$Type: Predicted Year: 1860 Ex: 10.498926","Age: 67 ex_fr_female$Type: Predicted Year: 1861 Ex: 10.526179","Age: 67 ex_fr_female$Type: Predicted Year: 1862 Ex: 10.611137","Age: 67 ex_fr_female$Type: Predicted Year: 1863 Ex: 10.445305","Age: 67 ex_fr_female$Type: Predicted Year: 1864 Ex: 10.121487","Age: 67 ex_fr_female$Type: Predicted Year: 1865 Ex: 10.007283","Age: 67 ex_fr_female$Type: Predicted Year: 1866 Ex: 10.200851","Age: 67 ex_fr_female$Type: Predicted Year: 1867 Ex: 10.211984","Age: 67 ex_fr_female$Type: Predicted Year: 1868 Ex: 10.106311","Age: 67 ex_fr_female$Type: Predicted Year: 1869 Ex: 10.210195","Age: 67 ex_fr_female$Type: Predicted Year: 1870 Ex: 9.407014","Age: 67 ex_fr_female$Type: Predicted Year: 1871 Ex: 9.299203","Age: 67 ex_fr_female$Type: Predicted Year: 1872 Ex: 11.087068","Age: 67 ex_fr_female$Type: Predicted Year: 1873 Ex: 10.515038","Age: 67 ex_fr_female$Type: Predicted Year: 1874 Ex: 10.788364","Age: 67 ex_fr_female$Type: Predicted Year: 1875 Ex: 10.300900","Age: 67 ex_fr_female$Type: Predicted Year: 1876 Ex: 10.658578","Age: 67 ex_fr_female$Type: Predicted Year: 1877 Ex: 10.933284","Age: 67 ex_fr_female$Type: Predicted Year: 1878 Ex: 10.505469","Age: 67 ex_fr_female$Type: Predicted Year: 1879 Ex: 10.293502","Age: 67 ex_fr_female$Type: Predicted Year: 1880 Ex: 10.574431","Age: 67 ex_fr_female$Type: Predicted Year: 1881 Ex: 10.986394","Age: 67 ex_fr_female$Type: Predicted Year: 1882 Ex: 11.003482","Age: 67 ex_fr_female$Type: Predicted Year: 1883 Ex: 10.922334","Age: 67 ex_fr_female$Type: Predicted Year: 1884 Ex: 10.979500","Age: 67 ex_fr_female$Type: Predicted Year: 1885 Ex: 10.974556","Age: 67 ex_fr_female$Type: Predicted Year: 1886 Ex: 10.922052","Age: 67 ex_fr_female$Type: Predicted Year: 1887 Ex: 10.884347","Age: 67 ex_fr_female$Type: Predicted Year: 1888 Ex: 10.662096","Age: 67 ex_fr_female$Type: Predicted Year: 1889 Ex: 10.996292","Age: 67 ex_fr_female$Type: Predicted Year: 1890 Ex: 10.362667","Age: 67 ex_fr_female$Type: Predicted Year: 1891 Ex: 9.960518","Age: 67 ex_fr_female$Type: Predicted Year: 1892 Ex: 10.050395","Age: 67 ex_fr_female$Type: Predicted Year: 1893 Ex: 10.123706","Age: 67 ex_fr_female$Type: Predicted Year: 1894 Ex: 10.539706","Age: 67 ex_fr_female$Type: Predicted Year: 1895 Ex: 10.115165","Age: 67 ex_fr_female$Type: Predicted Year: 1896 Ex: 10.864059","Age: 67 ex_fr_female$Type: Predicted Year: 1897 Ex: 11.082918","Age: 67 ex_fr_female$Type: Predicted Year: 1898 Ex: 10.556160","Age: 67 ex_fr_female$Type: Predicted Year: 1899 Ex: 10.618580","Age: 67 ex_fr_female$Type: Predicted Year: 1900 Ex: 10.144916","Age: 67 ex_fr_female$Type: Predicted Year: 1901 Ex: 10.730552","Age: 67 ex_fr_female$Type: Predicted Year: 1902 Ex: 10.906307","Age: 67 ex_fr_female$Type: Predicted Year: 1903 Ex: 10.880672","Age: 67 ex_fr_female$Type: Predicted Year: 1904 Ex: 10.815857","Age: 67 ex_fr_female$Type: Predicted Year: 1905 Ex: 10.698330","Age: 67 ex_fr_female$Type: Predicted Year: 1906 Ex: 10.749938","Age: 67 ex_fr_female$Type: Predicted Year: 1907 Ex: 10.374201","Age: 67 ex_fr_female$Type: Predicted Year: 1908 Ex: 10.907903","Age: 67 ex_fr_female$Type: Predicted Year: 1909 Ex: 10.482297","Age: 67 ex_fr_female$Type: Predicted Year: 1910 Ex: 11.141870","Age: 67 ex_fr_female$Type: Predicted Year: 1911 Ex: 10.582906","Age: 67 ex_fr_female$Type: Predicted Year: 1912 Ex: 11.263845","Age: 67 ex_fr_female$Type: Predicted Year: 1913 Ex: 11.229951","Age: 67 ex_fr_female$Type: Predicted Year: 1914 Ex: 10.669145","Age: 67 ex_fr_female$Type: Predicted Year: 1915 Ex: 10.814035","Age: 67 ex_fr_female$Type: Predicted Year: 1916 Ex: 10.941716","Age: 67 ex_fr_female$Type: Predicted Year: 1917 Ex: 10.722877","Age: 67 ex_fr_female$Type: Predicted Year: 1918 Ex: 10.752545","Age: 67 ex_fr_female$Type: Predicted Year: 1919 Ex: 10.917526","Age: 67 ex_fr_female$Type: Predicted Year: 1920 Ex: 11.598134","Age: 67 ex_fr_female$Type: Predicted Year: 1921 Ex: 11.509637","Age: 67 ex_fr_female$Type: Predicted Year: 1922 Ex: 11.134164","Age: 67 ex_fr_female$Type: Predicted Year: 1923 Ex: 11.743151","Age: 67 ex_fr_female$Type: Predicted Year: 1924 Ex: 11.501483","Age: 67 ex_fr_female$Type: Predicted Year: 1925 Ex: 11.373938","Age: 67 ex_fr_female$Type: Predicted Year: 1926 Ex: 11.466086","Age: 67 ex_fr_female$Type: Predicted Year: 1927 Ex: 11.559934","Age: 67 ex_fr_female$Type: Predicted Year: 1928 Ex: 11.771545","Age: 67 ex_fr_female$Type: Predicted Year: 1929 Ex: 10.994107","Age: 67 ex_fr_female$Type: Predicted Year: 1930 Ex: 12.233911","Age: 67 ex_fr_female$Type: Predicted Year: 1931 Ex: 11.584103","Age: 67 ex_fr_female$Type: Predicted Year: 1932 Ex: 11.893679","Age: 67 ex_fr_female$Type: Predicted Year: 1933 Ex: 11.874670","Age: 67 ex_fr_female$Type: Predicted Year: 1934 Ex: 12.317984","Age: 67 ex_fr_female$Type: Predicted Year: 1935 Ex: 11.982148","Age: 67 ex_fr_female$Type: Predicted Year: 1936 Ex: 12.147130","Age: 67 ex_fr_female$Type: Predicted Year: 1937 Ex: 12.404442","Age: 67 ex_fr_female$Type: Predicted Year: 1938 Ex: 12.201942","Age: 67 ex_fr_female$Type: Predicted Year: 1939 Ex: 12.067066","Age: 67 ex_fr_female$Type: Predicted Year: 1940 Ex: 10.936647","Age: 67 ex_fr_female$Type: Predicted Year: 1941 Ex: 11.829534","Age: 67 ex_fr_female$Type: Predicted Year: 1942 Ex: 11.878073","Age: 67 ex_fr_female$Type: Predicted Year: 1943 Ex: 12.074635","Age: 67 ex_fr_female$Type: Predicted Year: 1944 Ex: 11.411356","Age: 67 ex_fr_female$Type: Predicted Year: 1945 Ex: 12.145187","Age: 67 ex_fr_female$Type: Predicted Year: 1946 Ex: 13.198757","Age: 67 ex_fr_female$Type: Predicted Year: 1947 Ex: 13.393203","Age: 67 ex_fr_female$Type: Predicted Year: 1948 Ex: 13.895007","Age: 67 ex_fr_female$Type: Predicted Year: 1949 Ex: 12.867610","Age: 67 ex_fr_female$Type: Predicted Year: 1950 Ex: 13.517289","Age: 67 ex_fr_female$Type: Predicted Year: 1951 Ex: 13.101782","Age: 67 ex_fr_female$Type: Predicted Year: 1952 Ex: 13.728196","Age: 67 ex_fr_female$Type: Predicted Year: 1953 Ex: 13.229149","Age: 67 ex_fr_female$Type: Predicted Year: 1954 Ex: 13.970686","Age: 67 ex_fr_female$Type: Predicted Year: 1955 Ex: 13.931235","Age: 67 ex_fr_female$Type: Predicted Year: 1956 Ex: 13.713053","Age: 67 ex_fr_female$Type: Predicted Year: 1957 Ex: 14.062215","Age: 67 ex_fr_female$Type: Predicted Year: 1958 Ex: 14.446137","Age: 67 ex_fr_female$Type: Predicted Year: 1959 Ex: 14.516048","Age: 67 ex_fr_female$Type: Predicted Year: 1960 Ex: 14.448738","Age: 67 ex_fr_female$Type: Predicted Year: 1961 Ex: 14.961638","Age: 67 ex_fr_female$Type: Predicted Year: 1962 Ex: 14.487020","Age: 67 ex_fr_female$Type: Predicted Year: 1963 Ex: 14.425151","Age: 67 ex_fr_female$Type: Predicted Year: 1964 Ex: 15.135475","Age: 67 ex_fr_female$Type: Predicted Year: 1965 Ex: 14.921089","Age: 67 ex_fr_female$Type: Predicted Year: 1966 Ex: 15.285469","Age: 67 ex_fr_female$Type: Predicted Year: 1967 Ex: 15.228688","Age: 67 ex_fr_female$Type: Predicted Year: 1968 Ex: 15.185132","Age: 67 ex_fr_female$Type: Predicted Year: 1969 Ex: 15.063663","Age: 67 ex_fr_female$Type: Predicted Year: 1970 Ex: 15.532509","Age: 67 ex_fr_female$Type: Predicted Year: 1971 Ex: 15.525408","Age: 67 ex_fr_female$Type: Predicted Year: 1972 Ex: 15.765228","Age: 67 ex_fr_female$Type: Predicted Year: 1973 Ex: 15.676846","Age: 67 ex_fr_female$Type: Predicted Year: 1974 Ex: 15.925983","Age: 67 ex_fr_female$Type: Predicted Year: 1975 Ex: 15.947864","Age: 67 ex_fr_female$Type: Predicted Year: 1976 Ex: 16.135271","Age: 67 ex_fr_female$Type: Predicted Year: 1977 Ex: 16.586926","Age: 67 ex_fr_female$Type: Predicted Year: 1978 Ex: 16.587629","Age: 67 ex_fr_female$Type: Predicted Year: 1979 Ex: 16.831733","Age: 67 ex_fr_female$Type: Predicted Year: 1980 Ex: 16.893494","Age: 67 ex_fr_female$Type: Predicted Year: 1981 Ex: 16.871397","Age: 67 ex_fr_female$Type: Predicted Year: 1982 Ex: 17.180799","Age: 67 ex_fr_female$Type: Predicted Year: 1983 Ex: 17.046411","Age: 67 ex_fr_female$Type: Predicted Year: 1984 Ex: 17.445491","Age: 67 ex_fr_female$Type: Predicted Year: 1985 Ex: 17.435517","Age: 67 ex_fr_female$Type: Predicted Year: 1986 Ex: 17.632378","Age: 67 ex_fr_female$Type: Predicted Year: 1987 Ex: 18.084786","Age: 67 ex_fr_female$Type: Predicted Year: 1988 Ex: 18.259152","Age: 67 ex_fr_female$Type: Predicted Year: 1989 Ex: 18.384481","Age: 67 ex_fr_female$Type: Predicted Year: 1990 Ex: 18.540715","Age: 67 ex_fr_female$Type: Predicted Year: 1991 Ex: 18.768493","Age: 67 ex_fr_female$Type: Predicted Year: 1992 Ex: 18.976601","Age: 67 ex_fr_female$Type: Predicted Year: 1993 Ex: 18.969688","Age: 67 ex_fr_female$Type: Predicted Year: 1994 Ex: 19.310170","Age: 67 ex_fr_female$Type: Predicted Year: 1995 Ex: 19.261476","Age: 67 ex_fr_female$Type: Predicted Year: 1996 Ex: 19.313614","Age: 67 ex_fr_female$Type: Predicted Year: 1997 Ex: 19.462071","Age: 67 ex_fr_female$Type: Predicted Year: 1998 Ex: 19.534309","Age: 67 ex_fr_female$Type: Predicted Year: 1999 Ex: 19.564496","Age: 67 ex_fr_female$Type: Predicted Year: 2000 Ex: 19.794874","Age: 67 ex_fr_female$Type: Predicted Year: 2001 Ex: 19.951913","Age: 67 ex_fr_female$Type: Predicted Year: 2002 Ex: 19.974741","Age: 67 ex_fr_female$Type: Predicted Year: 2003 Ex: 19.827231","Age: 67 ex_fr_female$Type: Predicted Year: 2004 Ex: 20.683336","Age: 67 ex_fr_female$Type: Predicted Year: 2005 Ex: 20.551981","Age: 67 ex_fr_female$Type: Predicted Year: 2006 Ex: 20.901916","Age: 67 ex_fr_female$Type: Predicted Year: 2007 Ex: 21.022060","Age: 67 ex_fr_female$Type: Predicted Year: 2008 Ex: 20.995623","Age: 67 ex_fr_female$Type: Predicted Year: 2009 Ex: 21.101955","Age: 67 ex_fr_female$Type: Predicted Year: 2010 Ex: 21.260816","Age: 67 ex_fr_female$Type: Predicted Year: 2011 Ex: 21.547293","Age: 67 ex_fr_female$Type: Predicted Year: 2012 Ex: 21.340589","Age: 67 ex_fr_female$Type: Predicted Year: 2013 Ex: 21.523924","Age: 67 ex_fr_female$Type: Predicted Year: 2014 Ex: 21.867973","Age: 67 ex_fr_female$Type: Predicted Year: 2015 Ex: 21.572487","Age: 67 ex_fr_female$Type: Predicted Year: 2016 Ex: 21.749293","Age: 67 ex_fr_female$Type: Predicted Year: 2017 Ex: 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ex_fr_female$Type: Observed Year: 1896 Ex: 10.000000","Age: 68 ex_fr_female$Type: Observed Year: 1897 Ex: 10.190000","Age: 68 ex_fr_female$Type: Observed Year: 1898 Ex: 9.670000","Age: 68 ex_fr_female$Type: Observed Year: 1899 Ex: 9.740000","Age: 68 ex_fr_female$Type: Observed Year: 1900 Ex: 9.280000","Age: 68 ex_fr_female$Type: Observed Year: 1901 Ex: 9.860000","Age: 68 ex_fr_female$Type: Observed Year: 1902 Ex: 10.020000","Age: 68 ex_fr_female$Type: Observed Year: 1903 Ex: 9.980000","Age: 68 ex_fr_female$Type: Observed Year: 1904 Ex: 9.920000","Age: 68 ex_fr_female$Type: Observed Year: 1905 Ex: 9.820000","Age: 68 ex_fr_female$Type: Observed Year: 1906 Ex: 9.860000","Age: 68 ex_fr_female$Type: Observed Year: 1907 Ex: 9.500000","Age: 68 ex_fr_female$Type: Observed Year: 1908 Ex: 10.020000","Age: 68 ex_fr_female$Type: Observed Year: 1909 Ex: 9.620000","Age: 68 ex_fr_female$Type: Observed Year: 1910 Ex: 10.260000","Age: 68 ex_fr_female$Type: Observed Year: 1911 Ex: 9.710000","Age: 68 ex_fr_female$Type: Observed Year: 1912 Ex: 10.360000","Age: 68 ex_fr_female$Type: Observed Year: 1913 Ex: 10.340000","Age: 68 ex_fr_female$Type: Observed Year: 1914 Ex: 9.800000","Age: 68 ex_fr_female$Type: Observed Year: 1915 Ex: 9.900000","Age: 68 ex_fr_female$Type: Observed Year: 1916 Ex: 10.040000","Age: 68 ex_fr_female$Type: Observed Year: 1917 Ex: 9.840000","Age: 68 ex_fr_female$Type: Observed Year: 1918 Ex: 9.880000","Age: 68 ex_fr_female$Type: Observed Year: 1919 Ex: 10.020000","Age: 68 ex_fr_female$Type: Observed Year: 1920 Ex: 10.690000","Age: 68 ex_fr_female$Type: Observed Year: 1921 Ex: 10.600000","Age: 68 ex_fr_female$Type: Observed Year: 1922 Ex: 10.230000","Age: 68 ex_fr_female$Type: Observed Year: 1923 Ex: 10.840000","Age: 68 ex_fr_female$Type: Observed Year: 1924 Ex: 10.600000","Age: 68 ex_fr_female$Type: Observed Year: 1925 Ex: 10.480000","Age: 68 ex_fr_female$Type: Observed Year: 1926 Ex: 10.550000","Age: 68 ex_fr_female$Type: Observed Year: 1927 Ex: 10.660000","Age: 68 ex_fr_female$Type: Observed Year: 1928 Ex: 10.850000","Age: 68 ex_fr_female$Type: Observed Year: 1929 Ex: 10.100000","Age: 68 ex_fr_female$Type: Observed Year: 1930 Ex: 11.320000","Age: 68 ex_fr_female$Type: Observed Year: 1931 Ex: 10.670000","Age: 68 ex_fr_female$Type: Observed Year: 1932 Ex: 10.990000","Age: 68 ex_fr_female$Type: Observed Year: 1933 Ex: 10.950000","Age: 68 ex_fr_female$Type: Observed Year: 1934 Ex: 11.400000","Age: 68 ex_fr_female$Type: Observed Year: 1935 Ex: 11.080000","Age: 68 ex_fr_female$Type: Observed Year: 1936 Ex: 11.230000","Age: 68 ex_fr_female$Type: Observed Year: 1937 Ex: 11.480000","Age: 68 ex_fr_female$Type: Observed Year: 1938 Ex: 11.260000","Age: 68 ex_fr_female$Type: Observed Year: 1939 Ex: 11.140000","Age: 68 ex_fr_female$Type: Observed Year: 1940 Ex: 10.050000","Age: 68 ex_fr_female$Type: Observed Year: 1941 Ex: 10.920000","Age: 68 ex_fr_female$Type: Observed Year: 1942 Ex: 10.950000","Age: 68 ex_fr_female$Type: Observed Year: 1943 Ex: 11.140000","Age: 68 ex_fr_female$Type: Observed Year: 1944 Ex: 10.490000","Age: 68 ex_fr_female$Type: Observed Year: 1945 Ex: 11.200000","Age: 68 ex_fr_female$Type: Observed Year: 1946 Ex: 12.240000","Age: 68 ex_fr_female$Type: Observed Year: 1947 Ex: 12.420000","Age: 68 ex_fr_female$Type: Observed Year: 1948 Ex: 12.920000","Age: 68 ex_fr_female$Type: Observed Year: 1949 Ex: 11.900000","Age: 68 ex_fr_female$Type: Observed Year: 1950 Ex: 12.540000","Age: 68 ex_fr_female$Type: Observed Year: 1951 Ex: 12.130000","Age: 68 ex_fr_female$Type: Observed Year: 1952 Ex: 12.740000","Age: 68 ex_fr_female$Type: Observed Year: 1953 Ex: 12.240000","Age: 68 ex_fr_female$Type: Observed Year: 1954 Ex: 12.980000","Age: 68 ex_fr_female$Type: Observed Year: 1955 Ex: 12.940000","Age: 68 ex_fr_female$Type: Observed Year: 1956 Ex: 12.720000","Age: 68 ex_fr_female$Type: Observed Year: 1957 Ex: 13.060000","Age: 68 ex_fr_female$Type: Observed Year: 1958 Ex: 13.440000","Age: 68 ex_fr_female$Type: Observed Year: 1959 Ex: 13.500000","Age: 68 ex_fr_female$Type: Observed Year: 1960 Ex: 13.450000","Age: 68 ex_fr_female$Type: Observed Year: 1961 Ex: 13.950000","Age: 68 ex_fr_female$Type: Observed Year: 1962 Ex: 13.470000","Age: 68 ex_fr_female$Type: Observed Year: 1963 Ex: 13.410000","Age: 68 ex_fr_female$Type: Observed Year: 1964 Ex: 14.110000","Age: 68 ex_fr_female$Type: Observed Year: 1965 Ex: 13.900000","Age: 68 ex_fr_female$Type: Observed Year: 1966 Ex: 14.260000","Age: 68 ex_fr_female$Type: Observed Year: 1967 Ex: 14.190000","Age: 68 ex_fr_female$Type: Observed Year: 1968 Ex: 14.150000","Age: 68 ex_fr_female$Type: Observed Year: 1969 Ex: 14.040000","Age: 68 ex_fr_female$Type: Observed Year: 1970 Ex: 14.500000","Age: 68 ex_fr_female$Type: Observed Year: 1971 Ex: 14.490000","Age: 68 ex_fr_female$Type: Observed Year: 1972 Ex: 14.730000","Age: 68 ex_fr_female$Type: Observed Year: 1973 Ex: 14.640000","Age: 68 ex_fr_female$Type: Observed Year: 1974 Ex: 14.880000","Age: 68 ex_fr_female$Type: Observed Year: 1975 Ex: 14.900000","Age: 68 ex_fr_female$Type: Observed Year: 1976 Ex: 15.070000","Age: 68 ex_fr_female$Type: Observed Year: 1977 Ex: 15.520000","Age: 68 ex_fr_female$Type: Observed Year: 1978 Ex: 15.510000","Age: 68 ex_fr_female$Type: Observed Year: 1979 Ex: 15.760000","Age: 68 ex_fr_female$Type: Observed Year: 1980 Ex: 15.810000","Age: 68 ex_fr_female$Type: Observed Year: 1981 Ex: 15.790000","Age: 68 ex_fr_female$Type: Observed Year: 1982 Ex: 16.110000","Age: 68 ex_fr_female$Type: Observed Year: 1983 Ex: 15.970000","Age: 68 ex_fr_female$Type: Observed Year: 1984 Ex: 16.360000","Age: 68 ex_fr_female$Type: Observed Year: 1985 Ex: 16.350000","Age: 68 ex_fr_female$Type: Observed Year: 1986 Ex: 16.540000","Age: 68 ex_fr_female$Type: Observed Year: 1987 Ex: 17.000000","Age: 68 ex_fr_female$Type: Observed Year: 1988 Ex: 17.170000","Age: 68 ex_fr_female$Type: Observed Year: 1989 Ex: 17.290000","Age: 68 ex_fr_female$Type: Observed Year: 1990 Ex: 17.440000","Age: 68 ex_fr_female$Type: Observed Year: 1991 Ex: 17.670000","Age: 68 ex_fr_female$Type: Observed Year: 1992 Ex: 17.880000","Age: 68 ex_fr_female$Type: Observed Year: 1993 Ex: 17.870000","Age: 68 ex_fr_female$Type: Observed Year: 1994 Ex: 18.210000","Age: 68 ex_fr_female$Type: Observed Year: 1995 Ex: 18.170000","Age: 68 ex_fr_female$Type: Observed Year: 1996 Ex: 18.210000","Age: 68 ex_fr_female$Type: Observed Year: 1997 Ex: 18.360000","Age: 68 ex_fr_female$Type: Observed Year: 1998 Ex: 18.440000","Age: 68 ex_fr_female$Type: Observed Year: 1999 Ex: 18.450000","Age: 68 ex_fr_female$Type: Observed Year: 2000 Ex: 18.680000","Age: 68 ex_fr_female$Type: Observed Year: 2001 Ex: 18.840000","Age: 68 ex_fr_female$Type: Observed Year: 2002 Ex: 18.860000","Age: 68 ex_fr_female$Type: Observed Year: 2003 Ex: 18.710000","Age: 68 ex_fr_female$Type: Observed Year: 2004 Ex: 19.560000","Age: 68 ex_fr_female$Type: Observed Year: 2005 Ex: 19.430000","Age: 68 ex_fr_female$Type: Observed Year: 2006 Ex: 19.780000","Age: 68 ex_fr_female$Type: Observed Year: 2007 Ex: 19.890000","Age: 68 ex_fr_female$Type: Observed Year: 2008 Ex: 19.870000","Age: 68 ex_fr_female$Type: Observed Year: 2009 Ex: 19.980000","Age: 68 ex_fr_female$Type: Observed Year: 2010 Ex: 20.140000","Age: 68 ex_fr_female$Type: Observed Year: 2011 Ex: 20.420000","Age: 68 ex_fr_female$Type: Observed Year: 2012 Ex: 20.220000","Age: 68 ex_fr_female$Type: Observed Year: 2013 Ex: 20.390000","Age: 68 ex_fr_female$Type: Observed Year: 2014 Ex: 20.740000","Age: 68 ex_fr_female$Type: Observed Year: 2015 Ex: 20.450000","Age: 68 ex_fr_female$Type: Observed Year: 2016 Ex: 20.630000","Age: 68 ex_fr_female$Type: Observed Year: 2017 Ex: 20.590000"],"frame":"68","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[9.65606107782453,9.88318997433735,9.92631125296544,10.0962198709989,9.60439614933344,10.3465299116667,10.2680306937859,10.27140707302,10.5028536357395,10.3470038222068,9.82692627161198,10.1380047808543,9.86264428217738,9.56754473063558,9.59778768460793,9.7901830373209,8.91481056659094,9.98023594616375,9.68236303495852,10.0256518720365,10.1420748910407,8.88110599272335,9.76101945549966,10.2211375608173,9.74975029193594,10.1875501745967,9.68234452111088,9.92585590729909,10.0381282214146,10.2223546816239,10.0262077425484,9.30236396807635,9.56561483502131,9.25762183743971,10.0609878226584,9.88380025989369,9.97478532436212,9.62440205259379,8.94789640705349,9.14982584102537,9.99888854691835,9.72289575765445,9.26396858788255,9.43496950557245,9.98249235161076,9.99120557206042,10.0661405646315,9.92356566130512,9.62431427482359,9.51175214112616,9.71385356239563,9.71310030790424,9.60470408427297,9.70243569667281,8.89974069662676,8.79079868481217,10.5269128487044,9.97661216433127,10.246288088598,9.77982549787055,10.1254925413661,10.3772894601777,9.97246849620605,9.77494370265293,10.0497147942747,10.4558728744851,10.4760313965136,10.4068258305447,10.4519567890633,10.4412053779406,10.396168944578,10.3598996539491,10.1191803143847,10.4594133555759,9.83798811548601,9.44736481318884,9.53142239073759,9.59609343457526,10.0044138091371,9.59349428310633,10.3257861666598,10.5238029928413,10.0028033074256,10.0641903392554,9.61530843755128,10.1910358622028,10.3441734388004,10.3129156301644,10.2467990004362,10.1430860021113,10.187638330428,9.83445300875538,10.3435578620762,9.94884219903096,10.5902028389598,10.0357960762364,10.689632973985,10.6624353071669,10.1305868144423,10.2314731593115,10.3601923462054,10.1626208723265,10.2052330353887,10.3402361536571,11.0110917097188,10.9213579227512,10.5546009925052,11.156139589336,10.9160957169002,10.7953771196839,10.8725372506788,10.9729620789073,11.1635049263166,10.4150099009577,11.6403711316871,10.9906742479189,11.3035746264667,11.267272960585,11.7113441607035,11.3946313993177,11.5413055655323,11.7883820243235,11.5742772279576,11.4527913267022,10.3636108743534,11.2321920677095,11.2596132294991,11.4469824032021,10.799716698385,11.5140346363164,12.5499699360831,12.730326976734,13.2238226888157,12.2049618736151,12.8456392800558,12.4311568245102,13.0443804527807,12.5454022570731,13.2827375963726,13.2389370866619,13.0173792297923,13.3594665313974,13.7378409287489,13.79862836137,13.7424906375394,14.2419932636386,13.7683013530429,13.7034840620447,14.4093555655468,14.1975704738344,14.5579392959605,14.4882654998221,14.4463332432676,14.3372379235098,14.7878060845245,14.7767640756968,15.024322145138,14.9307363522396,15.1669529126938,15.1896467335453,15.3630037647661,15.811609728764,15.8015600755416,16.0447729466544,16.1005312345374,16.0796478837364,16.3918026878728,16.2542064020732,16.6430344009301,16.6314018648761,16.8249950357489,17.27822177652,17.4469659418638,17.5687412990626,17.7220285534406,17.9471147793367,18.1561373441208,18.1519553182646,18.4891494725236,18.442643850671,18.4893981792359,18.638859135972,18.7110022447016,18.7291590216566,18.9554940252667,19.1142331707943,19.1392153774282,18.9855875773851,19.8297907921298,19.7063717360918,20.0497513803572,20.1631195847603,20.1431054000658,20.2520697895821,20.4106250989819,20.6945061073293,20.4882443328943,20.6629298471307,21.0083931028126,20.7156320403746,20.8966347924574,20.8556715849627],"text":["Age: 68 ex_fr_female$Type: Predicted Year: 1816 Ex: 9.656061","Age: 68 ex_fr_female$Type: Predicted Year: 1817 Ex: 9.883190","Age: 68 ex_fr_female$Type: Predicted Year: 1818 Ex: 9.926311","Age: 68 ex_fr_female$Type: Predicted Year: 1819 Ex: 10.096220","Age: 68 ex_fr_female$Type: Predicted Year: 1820 Ex: 9.604396","Age: 68 ex_fr_female$Type: Predicted Year: 1821 Ex: 10.346530","Age: 68 ex_fr_female$Type: Predicted Year: 1822 Ex: 10.268031","Age: 68 ex_fr_female$Type: Predicted Year: 1823 Ex: 10.271407","Age: 68 ex_fr_female$Type: Predicted Year: 1824 Ex: 10.502854","Age: 68 ex_fr_female$Type: Predicted Year: 1825 Ex: 10.347004","Age: 68 ex_fr_female$Type: Predicted Year: 1826 Ex: 9.826926","Age: 68 ex_fr_female$Type: Predicted Year: 1827 Ex: 10.138005","Age: 68 ex_fr_female$Type: Predicted Year: 1828 Ex: 9.862644","Age: 68 ex_fr_female$Type: Predicted Year: 1829 Ex: 9.567545","Age: 68 ex_fr_female$Type: Predicted Year: 1830 Ex: 9.597788","Age: 68 ex_fr_female$Type: Predicted Year: 1831 Ex: 9.790183","Age: 68 ex_fr_female$Type: Predicted Year: 1832 Ex: 8.914811","Age: 68 ex_fr_female$Type: Predicted Year: 1833 Ex: 9.980236","Age: 68 ex_fr_female$Type: Predicted Year: 1834 Ex: 9.682363","Age: 68 ex_fr_female$Type: Predicted Year: 1835 Ex: 10.025652","Age: 68 ex_fr_female$Type: Predicted Year: 1836 Ex: 10.142075","Age: 68 ex_fr_female$Type: Predicted Year: 1837 Ex: 8.881106","Age: 68 ex_fr_female$Type: Predicted Year: 1838 Ex: 9.761019","Age: 68 ex_fr_female$Type: Predicted Year: 1839 Ex: 10.221138","Age: 68 ex_fr_female$Type: Predicted Year: 1840 Ex: 9.749750","Age: 68 ex_fr_female$Type: Predicted Year: 1841 Ex: 10.187550","Age: 68 ex_fr_female$Type: Predicted Year: 1842 Ex: 9.682345","Age: 68 ex_fr_female$Type: Predicted Year: 1843 Ex: 9.925856","Age: 68 ex_fr_female$Type: Predicted Year: 1844 Ex: 10.038128","Age: 68 ex_fr_female$Type: Predicted Year: 1845 Ex: 10.222355","Age: 68 ex_fr_female$Type: Predicted Year: 1846 Ex: 10.026208","Age: 68 ex_fr_female$Type: Predicted Year: 1847 Ex: 9.302364","Age: 68 ex_fr_female$Type: Predicted Year: 1848 Ex: 9.565615","Age: 68 ex_fr_female$Type: Predicted Year: 1849 Ex: 9.257622","Age: 68 ex_fr_female$Type: Predicted Year: 1850 Ex: 10.060988","Age: 68 ex_fr_female$Type: Predicted Year: 1851 Ex: 9.883800","Age: 68 ex_fr_female$Type: Predicted Year: 1852 Ex: 9.974785","Age: 68 ex_fr_female$Type: Predicted Year: 1853 Ex: 9.624402","Age: 68 ex_fr_female$Type: Predicted Year: 1854 Ex: 8.947896","Age: 68 ex_fr_female$Type: Predicted Year: 1855 Ex: 9.149826","Age: 68 ex_fr_female$Type: Predicted Year: 1856 Ex: 9.998889","Age: 68 ex_fr_female$Type: Predicted Year: 1857 Ex: 9.722896","Age: 68 ex_fr_female$Type: Predicted Year: 1858 Ex: 9.263969","Age: 68 ex_fr_female$Type: Predicted Year: 1859 Ex: 9.434970","Age: 68 ex_fr_female$Type: Predicted Year: 1860 Ex: 9.982492","Age: 68 ex_fr_female$Type: Predicted Year: 1861 Ex: 9.991206","Age: 68 ex_fr_female$Type: Predicted Year: 1862 Ex: 10.066141","Age: 68 ex_fr_female$Type: Predicted Year: 1863 Ex: 9.923566","Age: 68 ex_fr_female$Type: Predicted Year: 1864 Ex: 9.624314","Age: 68 ex_fr_female$Type: Predicted Year: 1865 Ex: 9.511752","Age: 68 ex_fr_female$Type: Predicted Year: 1866 Ex: 9.713854","Age: 68 ex_fr_female$Type: Predicted Year: 1867 Ex: 9.713100","Age: 68 ex_fr_female$Type: Predicted Year: 1868 Ex: 9.604704","Age: 68 ex_fr_female$Type: Predicted Year: 1869 Ex: 9.702436","Age: 68 ex_fr_female$Type: Predicted Year: 1870 Ex: 8.899741","Age: 68 ex_fr_female$Type: Predicted Year: 1871 Ex: 8.790799","Age: 68 ex_fr_female$Type: Predicted Year: 1872 Ex: 10.526913","Age: 68 ex_fr_female$Type: Predicted Year: 1873 Ex: 9.976612","Age: 68 ex_fr_female$Type: Predicted Year: 1874 Ex: 10.246288","Age: 68 ex_fr_female$Type: Predicted Year: 1875 Ex: 9.779825","Age: 68 ex_fr_female$Type: Predicted Year: 1876 Ex: 10.125493","Age: 68 ex_fr_female$Type: Predicted Year: 1877 Ex: 10.377289","Age: 68 ex_fr_female$Type: Predicted Year: 1878 Ex: 9.972468","Age: 68 ex_fr_female$Type: Predicted Year: 1879 Ex: 9.774944","Age: 68 ex_fr_female$Type: Predicted Year: 1880 Ex: 10.049715","Age: 68 ex_fr_female$Type: Predicted Year: 1881 Ex: 10.455873","Age: 68 ex_fr_female$Type: Predicted Year: 1882 Ex: 10.476031","Age: 68 ex_fr_female$Type: Predicted Year: 1883 Ex: 10.406826","Age: 68 ex_fr_female$Type: Predicted Year: 1884 Ex: 10.451957","Age: 68 ex_fr_female$Type: Predicted Year: 1885 Ex: 10.441205","Age: 68 ex_fr_female$Type: Predicted Year: 1886 Ex: 10.396169","Age: 68 ex_fr_female$Type: Predicted Year: 1887 Ex: 10.359900","Age: 68 ex_fr_female$Type: Predicted Year: 1888 Ex: 10.119180","Age: 68 ex_fr_female$Type: Predicted Year: 1889 Ex: 10.459413","Age: 68 ex_fr_female$Type: Predicted Year: 1890 Ex: 9.837988","Age: 68 ex_fr_female$Type: Predicted Year: 1891 Ex: 9.447365","Age: 68 ex_fr_female$Type: Predicted Year: 1892 Ex: 9.531422","Age: 68 ex_fr_female$Type: Predicted Year: 1893 Ex: 9.596093","Age: 68 ex_fr_female$Type: Predicted Year: 1894 Ex: 10.004414","Age: 68 ex_fr_female$Type: Predicted Year: 1895 Ex: 9.593494","Age: 68 ex_fr_female$Type: Predicted Year: 1896 Ex: 10.325786","Age: 68 ex_fr_female$Type: Predicted Year: 1897 Ex: 10.523803","Age: 68 ex_fr_female$Type: Predicted Year: 1898 Ex: 10.002803","Age: 68 ex_fr_female$Type: Predicted Year: 1899 Ex: 10.064190","Age: 68 ex_fr_female$Type: Predicted Year: 1900 Ex: 9.615308","Age: 68 ex_fr_female$Type: Predicted Year: 1901 Ex: 10.191036","Age: 68 ex_fr_female$Type: Predicted Year: 1902 Ex: 10.344173","Age: 68 ex_fr_female$Type: Predicted Year: 1903 Ex: 10.312916","Age: 68 ex_fr_female$Type: Predicted Year: 1904 Ex: 10.246799","Age: 68 ex_fr_female$Type: Predicted Year: 1905 Ex: 10.143086","Age: 68 ex_fr_female$Type: Predicted Year: 1906 Ex: 10.187638","Age: 68 ex_fr_female$Type: Predicted Year: 1907 Ex: 9.834453","Age: 68 ex_fr_female$Type: Predicted Year: 1908 Ex: 10.343558","Age: 68 ex_fr_female$Type: Predicted Year: 1909 Ex: 9.948842","Age: 68 ex_fr_female$Type: Predicted Year: 1910 Ex: 10.590203","Age: 68 ex_fr_female$Type: Predicted Year: 1911 Ex: 10.035796","Age: 68 ex_fr_female$Type: Predicted Year: 1912 Ex: 10.689633","Age: 68 ex_fr_female$Type: Predicted Year: 1913 Ex: 10.662435","Age: 68 ex_fr_female$Type: Predicted Year: 1914 Ex: 10.130587","Age: 68 ex_fr_female$Type: Predicted Year: 1915 Ex: 10.231473","Age: 68 ex_fr_female$Type: Predicted Year: 1916 Ex: 10.360192","Age: 68 ex_fr_female$Type: Predicted Year: 1917 Ex: 10.162621","Age: 68 ex_fr_female$Type: Predicted Year: 1918 Ex: 10.205233","Age: 68 ex_fr_female$Type: Predicted Year: 1919 Ex: 10.340236","Age: 68 ex_fr_female$Type: Predicted Year: 1920 Ex: 11.011092","Age: 68 ex_fr_female$Type: Predicted Year: 1921 Ex: 10.921358","Age: 68 ex_fr_female$Type: Predicted Year: 1922 Ex: 10.554601","Age: 68 ex_fr_female$Type: Predicted Year: 1923 Ex: 11.156140","Age: 68 ex_fr_female$Type: Predicted Year: 1924 Ex: 10.916096","Age: 68 ex_fr_female$Type: Predicted Year: 1925 Ex: 10.795377","Age: 68 ex_fr_female$Type: Predicted Year: 1926 Ex: 10.872537","Age: 68 ex_fr_female$Type: Predicted Year: 1927 Ex: 10.972962","Age: 68 ex_fr_female$Type: Predicted Year: 1928 Ex: 11.163505","Age: 68 ex_fr_female$Type: Predicted Year: 1929 Ex: 10.415010","Age: 68 ex_fr_female$Type: Predicted Year: 1930 Ex: 11.640371","Age: 68 ex_fr_female$Type: Predicted Year: 1931 Ex: 10.990674","Age: 68 ex_fr_female$Type: Predicted Year: 1932 Ex: 11.303575","Age: 68 ex_fr_female$Type: Predicted Year: 1933 Ex: 11.267273","Age: 68 ex_fr_female$Type: Predicted Year: 1934 Ex: 11.711344","Age: 68 ex_fr_female$Type: Predicted Year: 1935 Ex: 11.394631","Age: 68 ex_fr_female$Type: Predicted Year: 1936 Ex: 11.541306","Age: 68 ex_fr_female$Type: Predicted Year: 1937 Ex: 11.788382","Age: 68 ex_fr_female$Type: Predicted Year: 1938 Ex: 11.574277","Age: 68 ex_fr_female$Type: Predicted Year: 1939 Ex: 11.452791","Age: 68 ex_fr_female$Type: Predicted Year: 1940 Ex: 10.363611","Age: 68 ex_fr_female$Type: Predicted Year: 1941 Ex: 11.232192","Age: 68 ex_fr_female$Type: Predicted Year: 1942 Ex: 11.259613","Age: 68 ex_fr_female$Type: Predicted Year: 1943 Ex: 11.446982","Age: 68 ex_fr_female$Type: Predicted Year: 1944 Ex: 10.799717","Age: 68 ex_fr_female$Type: Predicted Year: 1945 Ex: 11.514035","Age: 68 ex_fr_female$Type: Predicted Year: 1946 Ex: 12.549970","Age: 68 ex_fr_female$Type: Predicted Year: 1947 Ex: 12.730327","Age: 68 ex_fr_female$Type: Predicted Year: 1948 Ex: 13.223823","Age: 68 ex_fr_female$Type: Predicted Year: 1949 Ex: 12.204962","Age: 68 ex_fr_female$Type: Predicted Year: 1950 Ex: 12.845639","Age: 68 ex_fr_female$Type: Predicted Year: 1951 Ex: 12.431157","Age: 68 ex_fr_female$Type: Predicted Year: 1952 Ex: 13.044380","Age: 68 ex_fr_female$Type: Predicted Year: 1953 Ex: 12.545402","Age: 68 ex_fr_female$Type: Predicted Year: 1954 Ex: 13.282738","Age: 68 ex_fr_female$Type: Predicted Year: 1955 Ex: 13.238937","Age: 68 ex_fr_female$Type: Predicted Year: 1956 Ex: 13.017379","Age: 68 ex_fr_female$Type: Predicted Year: 1957 Ex: 13.359467","Age: 68 ex_fr_female$Type: Predicted Year: 1958 Ex: 13.737841","Age: 68 ex_fr_female$Type: Predicted Year: 1959 Ex: 13.798628","Age: 68 ex_fr_female$Type: Predicted Year: 1960 Ex: 13.742491","Age: 68 ex_fr_female$Type: Predicted Year: 1961 Ex: 14.241993","Age: 68 ex_fr_female$Type: Predicted Year: 1962 Ex: 13.768301","Age: 68 ex_fr_female$Type: Predicted Year: 1963 Ex: 13.703484","Age: 68 ex_fr_female$Type: Predicted Year: 1964 Ex: 14.409356","Age: 68 ex_fr_female$Type: Predicted Year: 1965 Ex: 14.197570","Age: 68 ex_fr_female$Type: Predicted Year: 1966 Ex: 14.557939","Age: 68 ex_fr_female$Type: Predicted Year: 1967 Ex: 14.488265","Age: 68 ex_fr_female$Type: Predicted Year: 1968 Ex: 14.446333","Age: 68 ex_fr_female$Type: Predicted Year: 1969 Ex: 14.337238","Age: 68 ex_fr_female$Type: Predicted Year: 1970 Ex: 14.787806","Age: 68 ex_fr_female$Type: Predicted Year: 1971 Ex: 14.776764","Age: 68 ex_fr_female$Type: Predicted Year: 1972 Ex: 15.024322","Age: 68 ex_fr_female$Type: Predicted Year: 1973 Ex: 14.930736","Age: 68 ex_fr_female$Type: Predicted Year: 1974 Ex: 15.166953","Age: 68 ex_fr_female$Type: Predicted Year: 1975 Ex: 15.189647","Age: 68 ex_fr_female$Type: Predicted Year: 1976 Ex: 15.363004","Age: 68 ex_fr_female$Type: Predicted Year: 1977 Ex: 15.811610","Age: 68 ex_fr_female$Type: Predicted Year: 1978 Ex: 15.801560","Age: 68 ex_fr_female$Type: Predicted Year: 1979 Ex: 16.044773","Age: 68 ex_fr_female$Type: Predicted Year: 1980 Ex: 16.100531","Age: 68 ex_fr_female$Type: Predicted Year: 1981 Ex: 16.079648","Age: 68 ex_fr_female$Type: Predicted Year: 1982 Ex: 16.391803","Age: 68 ex_fr_female$Type: Predicted Year: 1983 Ex: 16.254206","Age: 68 ex_fr_female$Type: Predicted Year: 1984 Ex: 16.643034","Age: 68 ex_fr_female$Type: Predicted Year: 1985 Ex: 16.631402","Age: 68 ex_fr_female$Type: Predicted Year: 1986 Ex: 16.824995","Age: 68 ex_fr_female$Type: Predicted Year: 1987 Ex: 17.278222","Age: 68 ex_fr_female$Type: Predicted Year: 1988 Ex: 17.446966","Age: 68 ex_fr_female$Type: Predicted Year: 1989 Ex: 17.568741","Age: 68 ex_fr_female$Type: Predicted Year: 1990 Ex: 17.722029","Age: 68 ex_fr_female$Type: Predicted Year: 1991 Ex: 17.947115","Age: 68 ex_fr_female$Type: Predicted Year: 1992 Ex: 18.156137","Age: 68 ex_fr_female$Type: Predicted Year: 1993 Ex: 18.151955","Age: 68 ex_fr_female$Type: Predicted Year: 1994 Ex: 18.489149","Age: 68 ex_fr_female$Type: Predicted Year: 1995 Ex: 18.442644","Age: 68 ex_fr_female$Type: Predicted Year: 1996 Ex: 18.489398","Age: 68 ex_fr_female$Type: Predicted Year: 1997 Ex: 18.638859","Age: 68 ex_fr_female$Type: Predicted Year: 1998 Ex: 18.711002","Age: 68 ex_fr_female$Type: Predicted Year: 1999 Ex: 18.729159","Age: 68 ex_fr_female$Type: Predicted Year: 2000 Ex: 18.955494","Age: 68 ex_fr_female$Type: Predicted Year: 2001 Ex: 19.114233","Age: 68 ex_fr_female$Type: Predicted Year: 2002 Ex: 19.139215","Age: 68 ex_fr_female$Type: Predicted Year: 2003 Ex: 18.985588","Age: 68 ex_fr_female$Type: Predicted Year: 2004 Ex: 19.829791","Age: 68 ex_fr_female$Type: Predicted Year: 2005 Ex: 19.706372","Age: 68 ex_fr_female$Type: Predicted Year: 2006 Ex: 20.049751","Age: 68 ex_fr_female$Type: Predicted Year: 2007 Ex: 20.163120","Age: 68 ex_fr_female$Type: Predicted Year: 2008 Ex: 20.143105","Age: 68 ex_fr_female$Type: Predicted Year: 2009 Ex: 20.252070","Age: 68 ex_fr_female$Type: Predicted Year: 2010 Ex: 20.410625","Age: 68 ex_fr_female$Type: Predicted Year: 2011 Ex: 20.694506","Age: 68 ex_fr_female$Type: Predicted Year: 2012 Ex: 20.488244","Age: 68 ex_fr_female$Type: Predicted Year: 2013 Ex: 20.662930","Age: 68 ex_fr_female$Type: Predicted Year: 2014 Ex: 21.008393","Age: 68 ex_fr_female$Type: Predicted Year: 2015 Ex: 20.715632","Age: 68 ex_fr_female$Type: Predicted Year: 2016 Ex: 20.896635","Age: 68 ex_fr_female$Type: Predicted Year: 2017 Ex: 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ex_fr_female$Type: Observed Year: 1896 Ex: 9.470000","Age: 69 ex_fr_female$Type: Observed Year: 1897 Ex: 9.650000","Age: 69 ex_fr_female$Type: Observed Year: 1898 Ex: 9.160000","Age: 69 ex_fr_female$Type: Observed Year: 1899 Ex: 9.210000","Age: 69 ex_fr_female$Type: Observed Year: 1900 Ex: 8.800000","Age: 69 ex_fr_female$Type: Observed Year: 1901 Ex: 9.340000","Age: 69 ex_fr_female$Type: Observed Year: 1902 Ex: 9.500000","Age: 69 ex_fr_female$Type: Observed Year: 1903 Ex: 9.450000","Age: 69 ex_fr_female$Type: Observed Year: 1904 Ex: 9.380000","Age: 69 ex_fr_female$Type: Observed Year: 1905 Ex: 9.270000","Age: 69 ex_fr_female$Type: Observed Year: 1906 Ex: 9.330000","Age: 69 ex_fr_female$Type: Observed Year: 1907 Ex: 8.980000","Age: 69 ex_fr_female$Type: Observed Year: 1908 Ex: 9.470000","Age: 69 ex_fr_female$Type: Observed Year: 1909 Ex: 9.080000","Age: 69 ex_fr_female$Type: Observed Year: 1910 Ex: 9.710000","Age: 69 ex_fr_female$Type: Observed Year: 1911 Ex: 9.170000","Age: 69 ex_fr_female$Type: Observed Year: 1912 Ex: 9.840000","Age: 69 ex_fr_female$Type: Observed Year: 1913 Ex: 9.780000","Age: 69 ex_fr_female$Type: Observed Year: 1914 Ex: 9.250000","Age: 69 ex_fr_female$Type: Observed Year: 1915 Ex: 9.380000","Age: 69 ex_fr_female$Type: Observed Year: 1916 Ex: 9.460000","Age: 69 ex_fr_female$Type: Observed Year: 1917 Ex: 9.280000","Age: 69 ex_fr_female$Type: Observed Year: 1918 Ex: 9.340000","Age: 69 ex_fr_female$Type: Observed Year: 1919 Ex: 9.460000","Age: 69 ex_fr_female$Type: Observed Year: 1920 Ex: 10.110000","Age: 69 ex_fr_female$Type: Observed Year: 1921 Ex: 10.040000","Age: 69 ex_fr_female$Type: Observed Year: 1922 Ex: 9.670000","Age: 69 ex_fr_female$Type: Observed Year: 1923 Ex: 10.250000","Age: 69 ex_fr_female$Type: Observed Year: 1924 Ex: 10.020000","Age: 69 ex_fr_female$Type: Observed Year: 1925 Ex: 9.910000","Age: 69 ex_fr_female$Type: Observed Year: 1926 Ex: 9.980000","Age: 69 ex_fr_female$Type: Observed Year: 1927 Ex: 10.070000","Age: 69 ex_fr_female$Type: Observed Year: 1928 Ex: 10.260000","Age: 69 ex_fr_female$Type: Observed Year: 1929 Ex: 9.520000","Age: 69 ex_fr_female$Type: Observed Year: 1930 Ex: 10.750000","Age: 69 ex_fr_female$Type: Observed Year: 1931 Ex: 10.100000","Age: 69 ex_fr_female$Type: Observed Year: 1932 Ex: 10.410000","Age: 69 ex_fr_female$Type: Observed Year: 1933 Ex: 10.370000","Age: 69 ex_fr_female$Type: Observed Year: 1934 Ex: 10.800000","Age: 69 ex_fr_female$Type: Observed Year: 1935 Ex: 10.500000","Age: 69 ex_fr_female$Type: Observed Year: 1936 Ex: 10.640000","Age: 69 ex_fr_female$Type: Observed Year: 1937 Ex: 10.870000","Age: 69 ex_fr_female$Type: Observed Year: 1938 Ex: 10.650000","Age: 69 ex_fr_female$Type: Observed Year: 1939 Ex: 10.530000","Age: 69 ex_fr_female$Type: Observed Year: 1940 Ex: 9.480000","Age: 69 ex_fr_female$Type: Observed Year: 1941 Ex: 10.340000","Age: 69 ex_fr_female$Type: Observed Year: 1942 Ex: 10.350000","Age: 69 ex_fr_female$Type: Observed Year: 1943 Ex: 10.530000","Age: 69 ex_fr_female$Type: Observed Year: 1944 Ex: 9.890000","Age: 69 ex_fr_female$Type: Observed Year: 1945 Ex: 10.600000","Age: 69 ex_fr_female$Type: Observed Year: 1946 Ex: 11.600000","Age: 69 ex_fr_female$Type: Observed Year: 1947 Ex: 11.770000","Age: 69 ex_fr_female$Type: Observed Year: 1948 Ex: 12.260000","Age: 69 ex_fr_female$Type: Observed Year: 1949 Ex: 11.250000","Age: 69 ex_fr_female$Type: Observed Year: 1950 Ex: 11.890000","Age: 69 ex_fr_female$Type: Observed Year: 1951 Ex: 11.470000","Age: 69 ex_fr_female$Type: Observed Year: 1952 Ex: 12.070000","Age: 69 ex_fr_female$Type: Observed Year: 1953 Ex: 11.570000","Age: 69 ex_fr_female$Type: Observed Year: 1954 Ex: 12.320000","Age: 69 ex_fr_female$Type: Observed Year: 1955 Ex: 12.260000","Age: 69 ex_fr_female$Type: Observed Year: 1956 Ex: 12.040000","Age: 69 ex_fr_female$Type: Observed Year: 1957 Ex: 12.370000","Age: 69 ex_fr_female$Type: Observed Year: 1958 Ex: 12.750000","Age: 69 ex_fr_female$Type: Observed Year: 1959 Ex: 12.800000","Age: 69 ex_fr_female$Type: Observed Year: 1960 Ex: 12.750000","Age: 69 ex_fr_female$Type: Observed Year: 1961 Ex: 13.240000","Age: 69 ex_fr_female$Type: Observed Year: 1962 Ex: 12.760000","Age: 69 ex_fr_female$Type: Observed Year: 1963 Ex: 12.700000","Age: 69 ex_fr_female$Type: Observed Year: 1964 Ex: 13.400000","Age: 69 ex_fr_female$Type: Observed Year: 1965 Ex: 13.190000","Age: 69 ex_fr_female$Type: Observed Year: 1966 Ex: 13.540000","Age: 69 ex_fr_female$Type: Observed Year: 1967 Ex: 13.480000","Age: 69 ex_fr_female$Type: Observed Year: 1968 Ex: 13.440000","Age: 69 ex_fr_female$Type: Observed Year: 1969 Ex: 13.330000","Age: 69 ex_fr_female$Type: Observed Year: 1970 Ex: 13.760000","Age: 69 ex_fr_female$Type: Observed Year: 1971 Ex: 13.760000","Age: 69 ex_fr_female$Type: Observed Year: 1972 Ex: 13.990000","Age: 69 ex_fr_female$Type: Observed Year: 1973 Ex: 13.900000","Age: 69 ex_fr_female$Type: Observed Year: 1974 Ex: 14.130000","Age: 69 ex_fr_female$Type: Observed Year: 1975 Ex: 14.160000","Age: 69 ex_fr_female$Type: Observed Year: 1976 Ex: 14.310000","Age: 69 ex_fr_female$Type: Observed Year: 1977 Ex: 14.760000","Age: 69 ex_fr_female$Type: Observed Year: 1978 Ex: 14.740000","Age: 69 ex_fr_female$Type: Observed Year: 1979 Ex: 14.970000","Age: 69 ex_fr_female$Type: Observed Year: 1980 Ex: 15.040000","Age: 69 ex_fr_female$Type: Observed Year: 1981 Ex: 15.010000","Age: 69 ex_fr_female$Type: Observed Year: 1982 Ex: 15.320000","Age: 69 ex_fr_female$Type: Observed Year: 1983 Ex: 15.180000","Age: 69 ex_fr_female$Type: Observed Year: 1984 Ex: 15.580000","Age: 69 ex_fr_female$Type: Observed Year: 1985 Ex: 15.560000","Age: 69 ex_fr_female$Type: Observed Year: 1986 Ex: 15.750000","Age: 69 ex_fr_female$Type: Observed Year: 1987 Ex: 16.210000","Age: 69 ex_fr_female$Type: Observed Year: 1988 Ex: 16.370000","Age: 69 ex_fr_female$Type: Observed Year: 1989 Ex: 16.480000","Age: 69 ex_fr_female$Type: Observed Year: 1990 Ex: 16.630000","Age: 69 ex_fr_female$Type: Observed Year: 1991 Ex: 16.860000","Age: 69 ex_fr_female$Type: Observed Year: 1992 Ex: 17.070000","Age: 69 ex_fr_female$Type: Observed Year: 1993 Ex: 17.060000","Age: 69 ex_fr_female$Type: Observed Year: 1994 Ex: 17.400000","Age: 69 ex_fr_female$Type: Observed Year: 1995 Ex: 17.350000","Age: 69 ex_fr_female$Type: Observed Year: 1996 Ex: 17.400000","Age: 69 ex_fr_female$Type: Observed Year: 1997 Ex: 17.550000","Age: 69 ex_fr_female$Type: Observed Year: 1998 Ex: 17.600000","Age: 69 ex_fr_female$Type: Observed Year: 1999 Ex: 17.630000","Age: 69 ex_fr_female$Type: Observed Year: 2000 Ex: 17.850000","Age: 69 ex_fr_female$Type: Observed Year: 2001 Ex: 18.010000","Age: 69 ex_fr_female$Type: Observed Year: 2002 Ex: 18.030000","Age: 69 ex_fr_female$Type: Observed Year: 2003 Ex: 17.870000","Age: 69 ex_fr_female$Type: Observed Year: 2004 Ex: 18.720000","Age: 69 ex_fr_female$Type: Observed Year: 2005 Ex: 18.590000","Age: 69 ex_fr_female$Type: Observed Year: 2006 Ex: 18.940000","Age: 69 ex_fr_female$Type: Observed Year: 2007 Ex: 19.040000","Age: 69 ex_fr_female$Type: Observed Year: 2008 Ex: 19.020000","Age: 69 ex_fr_female$Type: Observed Year: 2009 Ex: 19.130000","Age: 69 ex_fr_female$Type: Observed Year: 2010 Ex: 19.290000","Age: 69 ex_fr_female$Type: Observed Year: 2011 Ex: 19.580000","Age: 69 ex_fr_female$Type: Observed Year: 2012 Ex: 19.370000","Age: 69 ex_fr_female$Type: Observed Year: 2013 Ex: 19.540000","Age: 69 ex_fr_female$Type: Observed Year: 2014 Ex: 19.900000","Age: 69 ex_fr_female$Type: Observed Year: 2015 Ex: 19.590000","Age: 69 ex_fr_female$Type: Observed Year: 2016 Ex: 19.770000","Age: 69 ex_fr_female$Type: Observed Year: 2017 Ex: 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69 ex_fr_female$Type: Predicted Year: 1816 Ex: 9.168755","Age: 69 ex_fr_female$Type: Predicted Year: 1817 Ex: 9.391957","Age: 69 ex_fr_female$Type: Predicted Year: 1818 Ex: 9.443385","Age: 69 ex_fr_female$Type: Predicted Year: 1819 Ex: 9.611680","Age: 69 ex_fr_female$Type: Predicted Year: 1820 Ex: 9.137510","Age: 69 ex_fr_female$Type: Predicted Year: 1821 Ex: 9.866199","Age: 69 ex_fr_female$Type: Predicted Year: 1822 Ex: 9.772141","Age: 69 ex_fr_female$Type: Predicted Year: 1823 Ex: 9.759049","Age: 69 ex_fr_female$Type: Predicted Year: 1824 Ex: 10.007091","Age: 69 ex_fr_female$Type: Predicted Year: 1825 Ex: 9.869707","Age: 69 ex_fr_female$Type: Predicted Year: 1826 Ex: 9.362602","Age: 69 ex_fr_female$Type: Predicted Year: 1827 Ex: 9.679213","Age: 69 ex_fr_female$Type: Predicted Year: 1828 Ex: 9.395617","Age: 69 ex_fr_female$Type: Predicted Year: 1829 Ex: 9.094947","Age: 69 ex_fr_female$Type: Predicted Year: 1830 Ex: 9.109238","Age: 69 ex_fr_female$Type: Predicted Year: 1831 Ex: 9.296358","Age: 69 ex_fr_female$Type: Predicted Year: 1832 Ex: 8.505084","Age: 69 ex_fr_female$Type: Predicted Year: 1833 Ex: 9.515591","Age: 69 ex_fr_female$Type: Predicted Year: 1834 Ex: 9.210999","Age: 69 ex_fr_female$Type: Predicted Year: 1835 Ex: 9.538527","Age: 69 ex_fr_female$Type: Predicted Year: 1836 Ex: 9.646181","Age: 69 ex_fr_female$Type: Predicted Year: 1837 Ex: 8.429059","Age: 69 ex_fr_female$Type: Predicted Year: 1838 Ex: 9.288011","Age: 69 ex_fr_female$Type: Predicted Year: 1839 Ex: 9.730810","Age: 69 ex_fr_female$Type: Predicted Year: 1840 Ex: 9.260655","Age: 69 ex_fr_female$Type: Predicted Year: 1841 Ex: 9.677013","Age: 69 ex_fr_female$Type: Predicted Year: 1842 Ex: 9.182160","Age: 69 ex_fr_female$Type: Predicted Year: 1843 Ex: 9.420543","Age: 69 ex_fr_female$Type: Predicted Year: 1844 Ex: 9.526962","Age: 69 ex_fr_female$Type: Predicted Year: 1845 Ex: 9.723085","Age: 69 ex_fr_female$Type: Predicted Year: 1846 Ex: 9.522450","Age: 69 ex_fr_female$Type: Predicted Year: 1847 Ex: 8.820030","Age: 69 ex_fr_female$Type: Predicted Year: 1848 Ex: 9.069509","Age: 69 ex_fr_female$Type: Predicted Year: 1849 Ex: 8.795236","Age: 69 ex_fr_female$Type: Predicted Year: 1850 Ex: 9.541745","Age: 69 ex_fr_female$Type: Predicted Year: 1851 Ex: 9.375193","Age: 69 ex_fr_female$Type: Predicted Year: 1852 Ex: 9.476233","Age: 69 ex_fr_female$Type: Predicted Year: 1853 Ex: 9.139084","Age: 69 ex_fr_female$Type: Predicted Year: 1854 Ex: 8.504902","Age: 69 ex_fr_female$Type: Predicted Year: 1855 Ex: 8.666224","Age: 69 ex_fr_female$Type: Predicted Year: 1856 Ex: 9.500310","Age: 69 ex_fr_female$Type: Predicted Year: 1857 Ex: 9.226962","Age: 69 ex_fr_female$Type: Predicted Year: 1858 Ex: 8.790807","Age: 69 ex_fr_female$Type: Predicted Year: 1859 Ex: 8.975501","Age: 69 ex_fr_female$Type: Predicted Year: 1860 Ex: 9.495044","Age: 69 ex_fr_female$Type: Predicted Year: 1861 Ex: 9.485525","Age: 69 ex_fr_female$Type: Predicted Year: 1862 Ex: 9.549871","Age: 69 ex_fr_female$Type: Predicted Year: 1863 Ex: 9.407519","Age: 69 ex_fr_female$Type: Predicted Year: 1864 Ex: 9.131374","Age: 69 ex_fr_female$Type: Predicted Year: 1865 Ex: 9.041446","Age: 69 ex_fr_female$Type: Predicted Year: 1866 Ex: 9.245376","Age: 69 ex_fr_female$Type: Predicted Year: 1867 Ex: 9.229962","Age: 69 ex_fr_female$Type: Predicted Year: 1868 Ex: 9.116928","Age: 69 ex_fr_female$Type: Predicted Year: 1869 Ex: 9.214323","Age: 69 ex_fr_female$Type: Predicted Year: 1870 Ex: 8.421634","Age: 69 ex_fr_female$Type: Predicted Year: 1871 Ex: 8.307510","Age: 69 ex_fr_female$Type: Predicted Year: 1872 Ex: 9.991658","Age: 69 ex_fr_female$Type: Predicted Year: 1873 Ex: 9.455218","Age: 69 ex_fr_female$Type: Predicted Year: 1874 Ex: 9.719170","Age: 69 ex_fr_female$Type: Predicted Year: 1875 Ex: 9.273986","Age: 69 ex_fr_female$Type: Predicted Year: 1876 Ex: 9.607571","Age: 69 ex_fr_female$Type: Predicted Year: 1877 Ex: 9.838410","Age: 69 ex_fr_female$Type: Predicted Year: 1878 Ex: 9.443898","Age: 69 ex_fr_female$Type: Predicted Year: 1879 Ex: 9.265033","Age: 69 ex_fr_female$Type: Predicted Year: 1880 Ex: 9.545473","Age: 69 ex_fr_female$Type: Predicted Year: 1881 Ex: 9.943625","Age: 69 ex_fr_female$Type: Predicted Year: 1882 Ex: 9.968646","Age: 69 ex_fr_female$Type: Predicted Year: 1883 Ex: 9.899977","Age: 69 ex_fr_female$Type: Predicted Year: 1884 Ex: 9.940666","Age: 69 ex_fr_female$Type: Predicted Year: 1885 Ex: 9.932518","Age: 69 ex_fr_female$Type: Predicted Year: 1886 Ex: 9.889309","Age: 69 ex_fr_female$Type: Predicted Year: 1887 Ex: 9.862839","Age: 69 ex_fr_female$Type: Predicted Year: 1888 Ex: 9.597103","Age: 69 ex_fr_female$Type: Predicted Year: 1889 Ex: 9.937622","Age: 69 ex_fr_female$Type: Predicted Year: 1890 Ex: 9.328359","Age: 69 ex_fr_female$Type: Predicted Year: 1891 Ex: 8.956508","Age: 69 ex_fr_female$Type: Predicted Year: 1892 Ex: 9.038092","Age: 69 ex_fr_female$Type: Predicted Year: 1893 Ex: 9.090254","Age: 69 ex_fr_female$Type: Predicted Year: 1894 Ex: 9.479230","Age: 69 ex_fr_female$Type: Predicted Year: 1895 Ex: 9.085499","Age: 69 ex_fr_female$Type: Predicted Year: 1896 Ex: 9.806443","Age: 69 ex_fr_female$Type: Predicted Year: 1897 Ex: 9.980642","Age: 69 ex_fr_female$Type: Predicted Year: 1898 Ex: 9.492926","Age: 69 ex_fr_female$Type: Predicted Year: 1899 Ex: 9.538477","Age: 69 ex_fr_female$Type: Predicted Year: 1900 Ex: 9.133237","Age: 69 ex_fr_female$Type: Predicted Year: 1901 Ex: 9.672122","Age: 69 ex_fr_female$Type: Predicted Year: 1902 Ex: 9.834516","Age: 69 ex_fr_female$Type: Predicted Year: 1903 Ex: 9.788104","Age: 69 ex_fr_female$Type: Predicted Year: 1904 Ex: 9.711120","Age: 69 ex_fr_female$Type: Predicted Year: 1905 Ex: 9.605600","Age: 69 ex_fr_female$Type: Predicted Year: 1906 Ex: 9.657573","Age: 69 ex_fr_female$Type: Predicted Year: 1907 Ex: 9.314911","Age: 69 ex_fr_female$Type: Predicted Year: 1908 Ex: 9.798465","Age: 69 ex_fr_female$Type: Predicted Year: 1909 Ex: 9.414035","Age: 69 ex_fr_female$Type: Predicted Year: 1910 Ex: 10.042682","Age: 69 ex_fr_female$Type: Predicted Year: 1911 Ex: 9.501467","Age: 69 ex_fr_female$Type: Predicted Year: 1912 Ex: 10.172700","Age: 69 ex_fr_female$Type: Predicted Year: 1913 Ex: 10.106050","Age: 69 ex_fr_female$Type: Predicted Year: 1914 Ex: 9.584729","Age: 69 ex_fr_female$Type: Predicted Year: 1915 Ex: 9.708844","Age: 69 ex_fr_female$Type: Predicted Year: 1916 Ex: 9.784850","Age: 69 ex_fr_female$Type: Predicted Year: 1917 Ex: 9.607447","Age: 69 ex_fr_female$Type: Predicted Year: 1918 Ex: 9.672560","Age: 69 ex_fr_female$Type: Predicted Year: 1919 Ex: 9.790047","Age: 69 ex_fr_female$Type: Predicted Year: 1920 Ex: 10.438255","Age: 69 ex_fr_female$Type: Predicted Year: 1921 Ex: 10.360727","Age: 69 ex_fr_female$Type: Predicted Year: 1922 Ex: 9.991829","Age: 69 ex_fr_female$Type: Predicted Year: 1923 Ex: 10.574454","Age: 69 ex_fr_female$Type: Predicted Year: 1924 Ex: 10.344714","Age: 69 ex_fr_female$Type: Predicted Year: 1925 Ex: 10.236414","Age: 69 ex_fr_female$Type: Predicted Year: 1926 Ex: 10.306820","Age: 69 ex_fr_female$Type: Predicted Year: 1927 Ex: 10.394761","Age: 69 ex_fr_female$Type: Predicted Year: 1928 Ex: 10.579669","Age: 69 ex_fr_female$Type: Predicted Year: 1929 Ex: 9.845547","Age: 69 ex_fr_female$Type: Predicted Year: 1930 Ex: 11.069937","Age: 69 ex_fr_female$Type: Predicted Year: 1931 Ex: 10.424437","Age: 69 ex_fr_female$Type: Predicted Year: 1932 Ex: 10.727115","Age: 69 ex_fr_female$Type: Predicted Year: 1933 Ex: 10.687375","Age: 69 ex_fr_female$Type: Predicted Year: 1934 Ex: 11.119677","Age: 69 ex_fr_female$Type: Predicted Year: 1935 Ex: 10.814721","Age: 69 ex_fr_female$Type: Predicted Year: 1936 Ex: 10.954898","Age: 69 ex_fr_female$Type: Predicted Year: 1937 Ex: 11.186070","Age: 69 ex_fr_female$Type: Predicted Year: 1938 Ex: 10.972223","Age: 69 ex_fr_female$Type: Predicted Year: 1939 Ex: 10.849436","Age: 69 ex_fr_female$Type: Predicted Year: 1940 Ex: 9.794799","Age: 69 ex_fr_female$Type: Predicted Year: 1941 Ex: 10.656839","Age: 69 ex_fr_female$Type: Predicted Year: 1942 Ex: 10.660756","Age: 69 ex_fr_female$Type: Predicted Year: 1943 Ex: 10.844892","Age: 69 ex_fr_female$Type: Predicted Year: 1944 Ex: 10.203397","Age: 69 ex_fr_female$Type: Predicted Year: 1945 Ex: 10.911414","Age: 69 ex_fr_female$Type: Predicted Year: 1946 Ex: 11.912131","Age: 69 ex_fr_female$Type: Predicted Year: 1947 Ex: 12.082546","Age: 69 ex_fr_female$Type: Predicted Year: 1948 Ex: 12.573113","Age: 69 ex_fr_female$Type: Predicted Year: 1949 Ex: 11.559528","Age: 69 ex_fr_female$Type: Predicted Year: 1950 Ex: 12.201052","Age: 69 ex_fr_female$Type: Predicted Year: 1951 Ex: 11.774637","Age: 69 ex_fr_female$Type: Predicted Year: 1952 Ex: 12.380755","Age: 69 ex_fr_female$Type: Predicted Year: 1953 Ex: 11.877554","Age: 69 ex_fr_female$Type: Predicted Year: 1954 Ex: 12.620122","Age: 69 ex_fr_female$Type: Predicted Year: 1955 Ex: 12.563271","Age: 69 ex_fr_female$Type: Predicted Year: 1956 Ex: 12.338640","Age: 69 ex_fr_female$Type: Predicted Year: 1957 Ex: 12.676059","Age: 69 ex_fr_female$Type: Predicted Year: 1958 Ex: 13.047344","Age: 69 ex_fr_female$Type: Predicted Year: 1959 Ex: 13.103837","Age: 69 ex_fr_female$Type: Predicted Year: 1960 Ex: 13.049121","Age: 69 ex_fr_female$Type: Predicted Year: 1961 Ex: 13.534339","Age: 69 ex_fr_female$Type: Predicted Year: 1962 Ex: 13.064672","Age: 69 ex_fr_female$Type: Predicted Year: 1963 Ex: 13.002727","Age: 69 ex_fr_female$Type: Predicted Year: 1964 Ex: 13.693191","Age: 69 ex_fr_female$Type: Predicted Year: 1965 Ex: 13.487013","Age: 69 ex_fr_female$Type: Predicted Year: 1966 Ex: 13.836775","Age: 69 ex_fr_female$Type: Predicted Year: 1967 Ex: 13.771856","Age: 69 ex_fr_female$Type: Predicted Year: 1968 Ex: 13.733486","Age: 69 ex_fr_female$Type: Predicted Year: 1969 Ex: 13.623556","Age: 69 ex_fr_female$Type: Predicted Year: 1970 Ex: 14.057801","Age: 69 ex_fr_female$Type: Predicted Year: 1971 Ex: 14.051206","Age: 69 ex_fr_female$Type: Predicted Year: 1972 Ex: 14.285768","Age: 69 ex_fr_female$Type: Predicted Year: 1973 Ex: 14.191232","Age: 69 ex_fr_female$Type: Predicted Year: 1974 Ex: 14.423353","Age: 69 ex_fr_female$Type: Predicted Year: 1975 Ex: 14.450330","Age: 69 ex_fr_female$Type: Predicted Year: 1976 Ex: 14.601219","Age: 69 ex_fr_female$Type: Predicted Year: 1977 Ex: 15.049394","Age: 69 ex_fr_female$Type: Predicted Year: 1978 Ex: 15.033750","Age: 69 ex_fr_female$Type: Predicted Year: 1979 Ex: 15.264722","Age: 69 ex_fr_female$Type: Predicted Year: 1980 Ex: 15.324909","Age: 69 ex_fr_female$Type: Predicted Year: 1981 Ex: 15.301355","Age: 69 ex_fr_female$Type: Predicted Year: 1982 Ex: 15.609411","Age: 69 ex_fr_female$Type: Predicted Year: 1983 Ex: 15.468972","Age: 69 ex_fr_female$Type: Predicted Year: 1984 Ex: 15.862446","Age: 69 ex_fr_female$Type: Predicted Year: 1985 Ex: 15.845915","Age: 69 ex_fr_female$Type: Predicted Year: 1986 Ex: 16.034474","Age: 69 ex_fr_female$Type: Predicted Year: 1987 Ex: 16.489608","Age: 69 ex_fr_female$Type: Predicted Year: 1988 Ex: 16.653101","Age: 69 ex_fr_female$Type: Predicted Year: 1989 Ex: 16.758571","Age: 69 ex_fr_female$Type: Predicted Year: 1990 Ex: 16.911648","Age: 69 ex_fr_female$Type: Predicted Year: 1991 Ex: 17.139565","Age: 69 ex_fr_female$Type: Predicted Year: 1992 Ex: 17.345360","Age: 69 ex_fr_female$Type: Predicted Year: 1993 Ex: 17.343096","Age: 69 ex_fr_female$Type: Predicted Year: 1994 Ex: 17.678123","Age: 69 ex_fr_female$Type: Predicted Year: 1995 Ex: 17.629498","Age: 69 ex_fr_female$Type: Predicted Year: 1996 Ex: 17.677829","Age: 69 ex_fr_female$Type: Predicted Year: 1997 Ex: 17.823358","Age: 69 ex_fr_female$Type: Predicted Year: 1998 Ex: 17.881523","Age: 69 ex_fr_female$Type: Predicted Year: 1999 Ex: 17.905923","Age: 69 ex_fr_female$Type: Predicted Year: 2000 Ex: 18.127746","Age: 69 ex_fr_female$Type: Predicted Year: 2001 Ex: 18.282143","Age: 69 ex_fr_female$Type: Predicted Year: 2002 Ex: 18.303025","Age: 69 ex_fr_female$Type: Predicted Year: 2003 Ex: 18.147115","Age: 69 ex_fr_female$Type: Predicted Year: 2004 Ex: 18.996160","Age: 69 ex_fr_female$Type: Predicted Year: 2005 Ex: 18.866062","Age: 69 ex_fr_female$Type: Predicted Year: 2006 Ex: 19.212888","Age: 69 ex_fr_female$Type: Predicted Year: 2007 Ex: 19.318083","Age: 69 ex_fr_female$Type: Predicted Year: 2008 Ex: 19.297119","Age: 69 ex_fr_female$Type: Predicted Year: 2009 Ex: 19.408929","Age: 69 ex_fr_female$Type: Predicted Year: 2010 Ex: 19.567539","Age: 69 ex_fr_female$Type: Predicted Year: 2011 Ex: 19.848773","Age: 69 ex_fr_female$Type: Predicted Year: 2012 Ex: 19.643353","Age: 69 ex_fr_female$Type: Predicted Year: 2013 Ex: 19.813705","Age: 69 ex_fr_female$Type: Predicted Year: 2014 Ex: 20.167538","Age: 69 ex_fr_female$Type: Predicted Year: 2015 Ex: 19.864969","Age: 69 ex_fr_female$Type: Predicted Year: 2016 Ex: 20.041761","Age: 69 ex_fr_female$Type: Predicted Year: 2017 Ex: 20.009324"],"frame":"69","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"70","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[8.34,8.56,8.62,8.78,8.33,9.04,8.94,8.92,9.16,9.05,8.57,8.88,8.59,8.29,8.29,8.46,7.74,8.71,8.41,8.72,8.81,7.63,8.47,8.91,8.45,8.85,8.36,8.59,8.68,8.88,8.69,8.01,8.24,8,8.7,8.54,8.64,8.32,7.74,7.86,8.67,8.41,7.99,8.18,8.68,8.67,8.72,8.58,8.29,8.22,8.45,8.42,8.3,8.4,7.62,7.51,9.15,8.62,8.87,8.44,8.76,8.98,8.6,8.42,8.71,9.12,9.15,9.08,9.1,9.11,9.08,9.05,8.77,9.1,8.49,8.14,8.21,8.27,8.64,8.25,8.97,9.1,8.61,8.67,8.28,8.8,8.98,8.93,8.84,8.74,8.78,8.47,8.95,8.57,9.16,8.65,9.33,9.27,8.72,8.85,8.94,8.73,8.83,8.93,9.56,9.49,9.13,9.7,9.46,9.35,9.43,9.5,9.71,8.97,10.16,9.55,9.85,9.81,10.24,9.93,10.07,10.3,10.09,9.95,8.91,9.77,9.77,9.95,9.31,10.01,10.98,11.14,11.63,10.63,11.26,10.82,11.43,10.92,11.65,11.6,11.37,11.71,12.07,12.12,12.07,12.54,12.07,12.01,12.7,12.5,12.84,12.77,12.73,12.64,13.05,13.03,13.27,13.18,13.4,13.42,13.57,14.01,13.99,14.22,14.27,14.24,14.55,14.41,14.8,14.78,14.97,15.42,15.58,15.68,15.83,16.06,16.26,16.26,16.6,16.54,16.59,16.74,16.79,16.81,17.04,17.18,17.21,17.05,17.88,17.75,18.1,18.2,18.19,18.29,18.45,18.73,18.53,18.7,19.05,18.75,18.93,18.9],"text":["Age: 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ex_fr_female$Type: Observed Year: 1832 Ex: 7.740000","Age: 70 ex_fr_female$Type: Observed Year: 1833 Ex: 8.710000","Age: 70 ex_fr_female$Type: Observed Year: 1834 Ex: 8.410000","Age: 70 ex_fr_female$Type: Observed Year: 1835 Ex: 8.720000","Age: 70 ex_fr_female$Type: Observed Year: 1836 Ex: 8.810000","Age: 70 ex_fr_female$Type: Observed Year: 1837 Ex: 7.630000","Age: 70 ex_fr_female$Type: Observed Year: 1838 Ex: 8.470000","Age: 70 ex_fr_female$Type: Observed Year: 1839 Ex: 8.910000","Age: 70 ex_fr_female$Type: Observed Year: 1840 Ex: 8.450000","Age: 70 ex_fr_female$Type: Observed Year: 1841 Ex: 8.850000","Age: 70 ex_fr_female$Type: Observed Year: 1842 Ex: 8.360000","Age: 70 ex_fr_female$Type: Observed Year: 1843 Ex: 8.590000","Age: 70 ex_fr_female$Type: Observed Year: 1844 Ex: 8.680000","Age: 70 ex_fr_female$Type: Observed Year: 1845 Ex: 8.880000","Age: 70 ex_fr_female$Type: Observed Year: 1846 Ex: 8.690000","Age: 70 ex_fr_female$Type: Observed Year: 1847 Ex: 8.010000","Age: 70 ex_fr_female$Type: Observed Year: 1848 Ex: 8.240000","Age: 70 ex_fr_female$Type: Observed Year: 1849 Ex: 8.000000","Age: 70 ex_fr_female$Type: Observed Year: 1850 Ex: 8.700000","Age: 70 ex_fr_female$Type: Observed Year: 1851 Ex: 8.540000","Age: 70 ex_fr_female$Type: Observed Year: 1852 Ex: 8.640000","Age: 70 ex_fr_female$Type: Observed Year: 1853 Ex: 8.320000","Age: 70 ex_fr_female$Type: Observed Year: 1854 Ex: 7.740000","Age: 70 ex_fr_female$Type: Observed Year: 1855 Ex: 7.860000","Age: 70 ex_fr_female$Type: Observed Year: 1856 Ex: 8.670000","Age: 70 ex_fr_female$Type: Observed Year: 1857 Ex: 8.410000","Age: 70 ex_fr_female$Type: Observed Year: 1858 Ex: 7.990000","Age: 70 ex_fr_female$Type: Observed Year: 1859 Ex: 8.180000","Age: 70 ex_fr_female$Type: Observed Year: 1860 Ex: 8.680000","Age: 70 ex_fr_female$Type: Observed Year: 1861 Ex: 8.670000","Age: 70 ex_fr_female$Type: Observed Year: 1862 Ex: 8.720000","Age: 70 ex_fr_female$Type: Observed Year: 1863 Ex: 8.580000","Age: 70 ex_fr_female$Type: Observed Year: 1864 Ex: 8.290000","Age: 70 ex_fr_female$Type: Observed Year: 1865 Ex: 8.220000","Age: 70 ex_fr_female$Type: Observed Year: 1866 Ex: 8.450000","Age: 70 ex_fr_female$Type: Observed Year: 1867 Ex: 8.420000","Age: 70 ex_fr_female$Type: Observed Year: 1868 Ex: 8.300000","Age: 70 ex_fr_female$Type: Observed Year: 1869 Ex: 8.400000","Age: 70 ex_fr_female$Type: Observed Year: 1870 Ex: 7.620000","Age: 70 ex_fr_female$Type: Observed Year: 1871 Ex: 7.510000","Age: 70 ex_fr_female$Type: Observed Year: 1872 Ex: 9.150000","Age: 70 ex_fr_female$Type: Observed Year: 1873 Ex: 8.620000","Age: 70 ex_fr_female$Type: Observed Year: 1874 Ex: 8.870000","Age: 70 ex_fr_female$Type: Observed Year: 1875 Ex: 8.440000","Age: 70 ex_fr_female$Type: Observed Year: 1876 Ex: 8.760000","Age: 70 ex_fr_female$Type: Observed Year: 1877 Ex: 8.980000","Age: 70 ex_fr_female$Type: Observed Year: 1878 Ex: 8.600000","Age: 70 ex_fr_female$Type: Observed Year: 1879 Ex: 8.420000","Age: 70 ex_fr_female$Type: Observed Year: 1880 Ex: 8.710000","Age: 70 ex_fr_female$Type: Observed Year: 1881 Ex: 9.120000","Age: 70 ex_fr_female$Type: Observed Year: 1882 Ex: 9.150000","Age: 70 ex_fr_female$Type: Observed Year: 1883 Ex: 9.080000","Age: 70 ex_fr_female$Type: Observed Year: 1884 Ex: 9.100000","Age: 70 ex_fr_female$Type: Observed Year: 1885 Ex: 9.110000","Age: 70 ex_fr_female$Type: Observed Year: 1886 Ex: 9.080000","Age: 70 ex_fr_female$Type: Observed Year: 1887 Ex: 9.050000","Age: 70 ex_fr_female$Type: Observed Year: 1888 Ex: 8.770000","Age: 70 ex_fr_female$Type: Observed Year: 1889 Ex: 9.100000","Age: 70 ex_fr_female$Type: Observed Year: 1890 Ex: 8.490000","Age: 70 ex_fr_female$Type: Observed Year: 1891 Ex: 8.140000","Age: 70 ex_fr_female$Type: Observed Year: 1892 Ex: 8.210000","Age: 70 ex_fr_female$Type: Observed Year: 1893 Ex: 8.270000","Age: 70 ex_fr_female$Type: Observed Year: 1894 Ex: 8.640000","Age: 70 ex_fr_female$Type: Observed Year: 1895 Ex: 8.250000","Age: 70 ex_fr_female$Type: Observed Year: 1896 Ex: 8.970000","Age: 70 ex_fr_female$Type: Observed Year: 1897 Ex: 9.100000","Age: 70 ex_fr_female$Type: Observed Year: 1898 Ex: 8.610000","Age: 70 ex_fr_female$Type: Observed Year: 1899 Ex: 8.670000","Age: 70 ex_fr_female$Type: Observed Year: 1900 Ex: 8.280000","Age: 70 ex_fr_female$Type: Observed Year: 1901 Ex: 8.800000","Age: 70 ex_fr_female$Type: Observed Year: 1902 Ex: 8.980000","Age: 70 ex_fr_female$Type: Observed Year: 1903 Ex: 8.930000","Age: 70 ex_fr_female$Type: Observed Year: 1904 Ex: 8.840000","Age: 70 ex_fr_female$Type: Observed Year: 1905 Ex: 8.740000","Age: 70 ex_fr_female$Type: Observed Year: 1906 Ex: 8.780000","Age: 70 ex_fr_female$Type: Observed Year: 1907 Ex: 8.470000","Age: 70 ex_fr_female$Type: Observed Year: 1908 Ex: 8.950000","Age: 70 ex_fr_female$Type: Observed Year: 1909 Ex: 8.570000","Age: 70 ex_fr_female$Type: Observed Year: 1910 Ex: 9.160000","Age: 70 ex_fr_female$Type: Observed Year: 1911 Ex: 8.650000","Age: 70 ex_fr_female$Type: Observed Year: 1912 Ex: 9.330000","Age: 70 ex_fr_female$Type: Observed Year: 1913 Ex: 9.270000","Age: 70 ex_fr_female$Type: Observed Year: 1914 Ex: 8.720000","Age: 70 ex_fr_female$Type: Observed Year: 1915 Ex: 8.850000","Age: 70 ex_fr_female$Type: Observed Year: 1916 Ex: 8.940000","Age: 70 ex_fr_female$Type: Observed Year: 1917 Ex: 8.730000","Age: 70 ex_fr_female$Type: Observed Year: 1918 Ex: 8.830000","Age: 70 ex_fr_female$Type: Observed Year: 1919 Ex: 8.930000","Age: 70 ex_fr_female$Type: Observed Year: 1920 Ex: 9.560000","Age: 70 ex_fr_female$Type: Observed Year: 1921 Ex: 9.490000","Age: 70 ex_fr_female$Type: Observed Year: 1922 Ex: 9.130000","Age: 70 ex_fr_female$Type: Observed Year: 1923 Ex: 9.700000","Age: 70 ex_fr_female$Type: Observed Year: 1924 Ex: 9.460000","Age: 70 ex_fr_female$Type: Observed Year: 1925 Ex: 9.350000","Age: 70 ex_fr_female$Type: Observed Year: 1926 Ex: 9.430000","Age: 70 ex_fr_female$Type: Observed Year: 1927 Ex: 9.500000","Age: 70 ex_fr_female$Type: Observed Year: 1928 Ex: 9.710000","Age: 70 ex_fr_female$Type: Observed Year: 1929 Ex: 8.970000","Age: 70 ex_fr_female$Type: Observed Year: 1930 Ex: 10.160000","Age: 70 ex_fr_female$Type: Observed Year: 1931 Ex: 9.550000","Age: 70 ex_fr_female$Type: Observed Year: 1932 Ex: 9.850000","Age: 70 ex_fr_female$Type: Observed Year: 1933 Ex: 9.810000","Age: 70 ex_fr_female$Type: Observed Year: 1934 Ex: 10.240000","Age: 70 ex_fr_female$Type: Observed Year: 1935 Ex: 9.930000","Age: 70 ex_fr_female$Type: Observed Year: 1936 Ex: 10.070000","Age: 70 ex_fr_female$Type: Observed Year: 1937 Ex: 10.300000","Age: 70 ex_fr_female$Type: Observed Year: 1938 Ex: 10.090000","Age: 70 ex_fr_female$Type: Observed Year: 1939 Ex: 9.950000","Age: 70 ex_fr_female$Type: Observed Year: 1940 Ex: 8.910000","Age: 70 ex_fr_female$Type: Observed Year: 1941 Ex: 9.770000","Age: 70 ex_fr_female$Type: Observed Year: 1942 Ex: 9.770000","Age: 70 ex_fr_female$Type: Observed Year: 1943 Ex: 9.950000","Age: 70 ex_fr_female$Type: Observed Year: 1944 Ex: 9.310000","Age: 70 ex_fr_female$Type: Observed Year: 1945 Ex: 10.010000","Age: 70 ex_fr_female$Type: Observed Year: 1946 Ex: 10.980000","Age: 70 ex_fr_female$Type: Observed Year: 1947 Ex: 11.140000","Age: 70 ex_fr_female$Type: Observed Year: 1948 Ex: 11.630000","Age: 70 ex_fr_female$Type: Observed Year: 1949 Ex: 10.630000","Age: 70 ex_fr_female$Type: Observed Year: 1950 Ex: 11.260000","Age: 70 ex_fr_female$Type: Observed Year: 1951 Ex: 10.820000","Age: 70 ex_fr_female$Type: Observed Year: 1952 Ex: 11.430000","Age: 70 ex_fr_female$Type: Observed Year: 1953 Ex: 10.920000","Age: 70 ex_fr_female$Type: Observed Year: 1954 Ex: 11.650000","Age: 70 ex_fr_female$Type: Observed Year: 1955 Ex: 11.600000","Age: 70 ex_fr_female$Type: Observed Year: 1956 Ex: 11.370000","Age: 70 ex_fr_female$Type: Observed Year: 1957 Ex: 11.710000","Age: 70 ex_fr_female$Type: Observed Year: 1958 Ex: 12.070000","Age: 70 ex_fr_female$Type: Observed Year: 1959 Ex: 12.120000","Age: 70 ex_fr_female$Type: Observed Year: 1960 Ex: 12.070000","Age: 70 ex_fr_female$Type: Observed Year: 1961 Ex: 12.540000","Age: 70 ex_fr_female$Type: Observed Year: 1962 Ex: 12.070000","Age: 70 ex_fr_female$Type: Observed Year: 1963 Ex: 12.010000","Age: 70 ex_fr_female$Type: Observed Year: 1964 Ex: 12.700000","Age: 70 ex_fr_female$Type: Observed Year: 1965 Ex: 12.500000","Age: 70 ex_fr_female$Type: Observed Year: 1966 Ex: 12.840000","Age: 70 ex_fr_female$Type: Observed Year: 1967 Ex: 12.770000","Age: 70 ex_fr_female$Type: Observed Year: 1968 Ex: 12.730000","Age: 70 ex_fr_female$Type: Observed Year: 1969 Ex: 12.640000","Age: 70 ex_fr_female$Type: Observed Year: 1970 Ex: 13.050000","Age: 70 ex_fr_female$Type: Observed Year: 1971 Ex: 13.030000","Age: 70 ex_fr_female$Type: Observed Year: 1972 Ex: 13.270000","Age: 70 ex_fr_female$Type: Observed Year: 1973 Ex: 13.180000","Age: 70 ex_fr_female$Type: Observed Year: 1974 Ex: 13.400000","Age: 70 ex_fr_female$Type: Observed Year: 1975 Ex: 13.420000","Age: 70 ex_fr_female$Type: Observed Year: 1976 Ex: 13.570000","Age: 70 ex_fr_female$Type: Observed Year: 1977 Ex: 14.010000","Age: 70 ex_fr_female$Type: Observed Year: 1978 Ex: 13.990000","Age: 70 ex_fr_female$Type: Observed Year: 1979 Ex: 14.220000","Age: 70 ex_fr_female$Type: Observed Year: 1980 Ex: 14.270000","Age: 70 ex_fr_female$Type: Observed Year: 1981 Ex: 14.240000","Age: 70 ex_fr_female$Type: Observed Year: 1982 Ex: 14.550000","Age: 70 ex_fr_female$Type: Observed Year: 1983 Ex: 14.410000","Age: 70 ex_fr_female$Type: Observed Year: 1984 Ex: 14.800000","Age: 70 ex_fr_female$Type: Observed Year: 1985 Ex: 14.780000","Age: 70 ex_fr_female$Type: Observed Year: 1986 Ex: 14.970000","Age: 70 ex_fr_female$Type: Observed Year: 1987 Ex: 15.420000","Age: 70 ex_fr_female$Type: Observed Year: 1988 Ex: 15.580000","Age: 70 ex_fr_female$Type: Observed Year: 1989 Ex: 15.680000","Age: 70 ex_fr_female$Type: Observed Year: 1990 Ex: 15.830000","Age: 70 ex_fr_female$Type: Observed Year: 1991 Ex: 16.060000","Age: 70 ex_fr_female$Type: Observed Year: 1992 Ex: 16.260000","Age: 70 ex_fr_female$Type: Observed Year: 1993 Ex: 16.260000","Age: 70 ex_fr_female$Type: Observed Year: 1994 Ex: 16.600000","Age: 70 ex_fr_female$Type: Observed Year: 1995 Ex: 16.540000","Age: 70 ex_fr_female$Type: Observed Year: 1996 Ex: 16.590000","Age: 70 ex_fr_female$Type: Observed Year: 1997 Ex: 16.740000","Age: 70 ex_fr_female$Type: Observed Year: 1998 Ex: 16.790000","Age: 70 ex_fr_female$Type: Observed Year: 1999 Ex: 16.810000","Age: 70 ex_fr_female$Type: Observed Year: 2000 Ex: 17.040000","Age: 70 ex_fr_female$Type: Observed Year: 2001 Ex: 17.180000","Age: 70 ex_fr_female$Type: Observed Year: 2002 Ex: 17.210000","Age: 70 ex_fr_female$Type: Observed Year: 2003 Ex: 17.050000","Age: 70 ex_fr_female$Type: Observed Year: 2004 Ex: 17.880000","Age: 70 ex_fr_female$Type: Observed Year: 2005 Ex: 17.750000","Age: 70 ex_fr_female$Type: Observed Year: 2006 Ex: 18.100000","Age: 70 ex_fr_female$Type: Observed Year: 2007 Ex: 18.200000","Age: 70 ex_fr_female$Type: Observed Year: 2008 Ex: 18.190000","Age: 70 ex_fr_female$Type: Observed Year: 2009 Ex: 18.290000","Age: 70 ex_fr_female$Type: Observed Year: 2010 Ex: 18.450000","Age: 70 ex_fr_female$Type: Observed Year: 2011 Ex: 18.730000","Age: 70 ex_fr_female$Type: Observed Year: 2012 Ex: 18.530000","Age: 70 ex_fr_female$Type: Observed Year: 2013 Ex: 18.700000","Age: 70 ex_fr_female$Type: Observed Year: 2014 Ex: 19.050000","Age: 70 ex_fr_female$Type: Observed Year: 2015 Ex: 18.750000","Age: 70 ex_fr_female$Type: Observed Year: 2016 Ex: 18.930000","Age: 70 ex_fr_female$Type: Observed Year: 2017 Ex: 18.900000"],"frame":"70","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[8.71012750255287,8.92611241003829,8.98480554975358,9.14348262800102,8.68796016838535,9.40462603287467,9.29358893800581,9.27154232561178,9.52147298025032,9.4049645015351,8.92230288916046,9.24251277467042,8.95068397921948,8.65174932872725,8.65587013005629,8.82309047894558,8.10840243150385,9.06961640778365,8.77643428875329,9.07774719303449,9.16354212874804,7.99520361607898,8.83412133398368,9.26985904546763,8.8058105275917,9.19961238562156,8.71855445191796,8.94705041069653,9.03481214113004,9.23456226509594,9.04283539185943,8.36425651511923,8.6022229177011,8.36140509638535,9.05367679899627,8.8880246505573,8.99461695742719,8.67190009214091,8.09683752360913,8.20988799651344,9.01465622325915,8.7541687253831,8.34002129072351,8.52926416041444,9.03081144430894,9.01539123460469,9.06925186419444,8.92901027854624,8.64667095814035,8.5743229558249,8.80121039778749,8.76652707070473,8.65103283721088,8.74409657534873,7.9756147464342,7.86413765718389,9.49019922851954,8.96395572719201,9.21739087826062,8.78449948936512,9.10591133305854,9.32221533312494,8.93772003672438,8.76361494563739,9.05436460479355,9.46035279042264,9.48624322082338,9.41570522860968,9.43981015734015,9.44644787760018,9.41456738528197,9.39166410075146,9.11005324738966,9.43948901722821,8.83736263243176,8.48543486936965,8.55878310121287,8.61485630461555,8.98373061873437,8.5898654899996,9.31242395920676,9.44272390340943,8.95362864141296,9.00950281664682,8.62021417118733,9.13727798444702,9.31271773407507,9.26793477734559,9.17980380489067,9.07245830698103,9.11708262800891,8.80673191647269,9.28499836906866,8.91232918285795,9.499480041356,8.98716303953684,9.66080281259115,9.60230657928599,9.05912190620473,9.18632529801849,9.26969266942875,9.0631978596475,9.16139525576355,9.25786404177889,9.88579096072841,9.81983431670517,9.45764389974579,10.0252786445537,9.79215485112852,9.67944198614079,9.76187768994975,9.82576136384253,10.0323083084951,9.29878887477961,10.4900326024367,9.87135058289804,10.1705633541394,10.1280374367317,10.558442103821,10.2526056974959,10.3933921585723,10.6224584348271,10.413408533848,10.2735867535499,9.23602902115029,10.0909875521473,10.0931639071216,10.270364799794,9.6314321374714,10.325317466762,11.294577914158,11.4537124962685,11.9392046681325,10.94125382827,11.5675638810794,11.1341910970417,11.7408911720215,11.2335815184206,11.958944787589,11.9119199328677,11.6764116953511,12.0146921615152,12.3707894827973,12.4246016585498,12.3745435297037,12.8453557656246,12.3781268143401,12.3159188094003,13.002865548083,12.7975650794268,13.1361751452057,13.0749563263398,13.029619353533,12.9424817466224,13.3480287027196,13.3317446876126,13.5705995099042,13.4763467653029,13.6968216099026,13.7194929937109,13.8612237561052,14.3006299637307,14.2827940010602,14.5088655689997,14.5617607335968,14.5339206377543,14.8380715339294,14.69733124,15.0891669641771,15.0720796673533,15.2545927373852,15.705314375938,15.8616831851512,15.9665394167916,16.1122682228414,16.3421294720096,16.5381575433871,16.543024281197,16.8776832575401,16.824333960242,16.8671358448407,17.0188225872886,17.0695602443558,17.0942240867363,17.3143482984314,17.4594210565706,17.4833887058504,17.323938031398,18.1620714948218,18.0287678078787,18.3737584909738,18.4806177205215,18.4680066740546,18.5705316451682,18.7279976950249,19.0039900750438,18.7996236563483,18.9787672840033,19.3209508563272,19.0234389117364,19.1987233459963,19.1697623266202],"text":["Age: 70 ex_fr_female$Type: Predicted Year: 1816 Ex: 8.710128","Age: 70 ex_fr_female$Type: Predicted Year: 1817 Ex: 8.926112","Age: 70 ex_fr_female$Type: Predicted Year: 1818 Ex: 8.984806","Age: 70 ex_fr_female$Type: Predicted Year: 1819 Ex: 9.143483","Age: 70 ex_fr_female$Type: Predicted Year: 1820 Ex: 8.687960","Age: 70 ex_fr_female$Type: Predicted Year: 1821 Ex: 9.404626","Age: 70 ex_fr_female$Type: Predicted Year: 1822 Ex: 9.293589","Age: 70 ex_fr_female$Type: Predicted Year: 1823 Ex: 9.271542","Age: 70 ex_fr_female$Type: Predicted Year: 1824 Ex: 9.521473","Age: 70 ex_fr_female$Type: Predicted Year: 1825 Ex: 9.404965","Age: 70 ex_fr_female$Type: Predicted Year: 1826 Ex: 8.922303","Age: 70 ex_fr_female$Type: Predicted Year: 1827 Ex: 9.242513","Age: 70 ex_fr_female$Type: Predicted Year: 1828 Ex: 8.950684","Age: 70 ex_fr_female$Type: Predicted Year: 1829 Ex: 8.651749","Age: 70 ex_fr_female$Type: Predicted Year: 1830 Ex: 8.655870","Age: 70 ex_fr_female$Type: Predicted Year: 1831 Ex: 8.823090","Age: 70 ex_fr_female$Type: Predicted Year: 1832 Ex: 8.108402","Age: 70 ex_fr_female$Type: Predicted Year: 1833 Ex: 9.069616","Age: 70 ex_fr_female$Type: Predicted Year: 1834 Ex: 8.776434","Age: 70 ex_fr_female$Type: Predicted Year: 1835 Ex: 9.077747","Age: 70 ex_fr_female$Type: Predicted Year: 1836 Ex: 9.163542","Age: 70 ex_fr_female$Type: Predicted Year: 1837 Ex: 7.995204","Age: 70 ex_fr_female$Type: Predicted Year: 1838 Ex: 8.834121","Age: 70 ex_fr_female$Type: Predicted Year: 1839 Ex: 9.269859","Age: 70 ex_fr_female$Type: Predicted Year: 1840 Ex: 8.805811","Age: 70 ex_fr_female$Type: Predicted Year: 1841 Ex: 9.199612","Age: 70 ex_fr_female$Type: Predicted Year: 1842 Ex: 8.718554","Age: 70 ex_fr_female$Type: Predicted Year: 1843 Ex: 8.947050","Age: 70 ex_fr_female$Type: Predicted Year: 1844 Ex: 9.034812","Age: 70 ex_fr_female$Type: Predicted Year: 1845 Ex: 9.234562","Age: 70 ex_fr_female$Type: Predicted Year: 1846 Ex: 9.042835","Age: 70 ex_fr_female$Type: Predicted Year: 1847 Ex: 8.364257","Age: 70 ex_fr_female$Type: Predicted Year: 1848 Ex: 8.602223","Age: 70 ex_fr_female$Type: Predicted Year: 1849 Ex: 8.361405","Age: 70 ex_fr_female$Type: Predicted Year: 1850 Ex: 9.053677","Age: 70 ex_fr_female$Type: Predicted Year: 1851 Ex: 8.888025","Age: 70 ex_fr_female$Type: Predicted Year: 1852 Ex: 8.994617","Age: 70 ex_fr_female$Type: Predicted Year: 1853 Ex: 8.671900","Age: 70 ex_fr_female$Type: Predicted Year: 1854 Ex: 8.096838","Age: 70 ex_fr_female$Type: Predicted Year: 1855 Ex: 8.209888","Age: 70 ex_fr_female$Type: Predicted Year: 1856 Ex: 9.014656","Age: 70 ex_fr_female$Type: Predicted Year: 1857 Ex: 8.754169","Age: 70 ex_fr_female$Type: Predicted Year: 1858 Ex: 8.340021","Age: 70 ex_fr_female$Type: Predicted Year: 1859 Ex: 8.529264","Age: 70 ex_fr_female$Type: Predicted Year: 1860 Ex: 9.030811","Age: 70 ex_fr_female$Type: Predicted Year: 1861 Ex: 9.015391","Age: 70 ex_fr_female$Type: Predicted Year: 1862 Ex: 9.069252","Age: 70 ex_fr_female$Type: Predicted Year: 1863 Ex: 8.929010","Age: 70 ex_fr_female$Type: Predicted Year: 1864 Ex: 8.646671","Age: 70 ex_fr_female$Type: Predicted Year: 1865 Ex: 8.574323","Age: 70 ex_fr_female$Type: Predicted Year: 1866 Ex: 8.801210","Age: 70 ex_fr_female$Type: Predicted Year: 1867 Ex: 8.766527","Age: 70 ex_fr_female$Type: Predicted Year: 1868 Ex: 8.651033","Age: 70 ex_fr_female$Type: Predicted Year: 1869 Ex: 8.744097","Age: 70 ex_fr_female$Type: Predicted Year: 1870 Ex: 7.975615","Age: 70 ex_fr_female$Type: Predicted Year: 1871 Ex: 7.864138","Age: 70 ex_fr_female$Type: Predicted Year: 1872 Ex: 9.490199","Age: 70 ex_fr_female$Type: Predicted Year: 1873 Ex: 8.963956","Age: 70 ex_fr_female$Type: Predicted Year: 1874 Ex: 9.217391","Age: 70 ex_fr_female$Type: Predicted Year: 1875 Ex: 8.784499","Age: 70 ex_fr_female$Type: Predicted Year: 1876 Ex: 9.105911","Age: 70 ex_fr_female$Type: Predicted Year: 1877 Ex: 9.322215","Age: 70 ex_fr_female$Type: Predicted Year: 1878 Ex: 8.937720","Age: 70 ex_fr_female$Type: Predicted Year: 1879 Ex: 8.763615","Age: 70 ex_fr_female$Type: Predicted Year: 1880 Ex: 9.054365","Age: 70 ex_fr_female$Type: Predicted Year: 1881 Ex: 9.460353","Age: 70 ex_fr_female$Type: Predicted Year: 1882 Ex: 9.486243","Age: 70 ex_fr_female$Type: Predicted Year: 1883 Ex: 9.415705","Age: 70 ex_fr_female$Type: Predicted Year: 1884 Ex: 9.439810","Age: 70 ex_fr_female$Type: Predicted Year: 1885 Ex: 9.446448","Age: 70 ex_fr_female$Type: Predicted Year: 1886 Ex: 9.414567","Age: 70 ex_fr_female$Type: Predicted Year: 1887 Ex: 9.391664","Age: 70 ex_fr_female$Type: Predicted Year: 1888 Ex: 9.110053","Age: 70 ex_fr_female$Type: Predicted Year: 1889 Ex: 9.439489","Age: 70 ex_fr_female$Type: Predicted Year: 1890 Ex: 8.837363","Age: 70 ex_fr_female$Type: Predicted Year: 1891 Ex: 8.485435","Age: 70 ex_fr_female$Type: Predicted Year: 1892 Ex: 8.558783","Age: 70 ex_fr_female$Type: Predicted Year: 1893 Ex: 8.614856","Age: 70 ex_fr_female$Type: Predicted Year: 1894 Ex: 8.983731","Age: 70 ex_fr_female$Type: Predicted Year: 1895 Ex: 8.589865","Age: 70 ex_fr_female$Type: Predicted Year: 1896 Ex: 9.312424","Age: 70 ex_fr_female$Type: Predicted Year: 1897 Ex: 9.442724","Age: 70 ex_fr_female$Type: Predicted Year: 1898 Ex: 8.953629","Age: 70 ex_fr_female$Type: Predicted Year: 1899 Ex: 9.009503","Age: 70 ex_fr_female$Type: Predicted Year: 1900 Ex: 8.620214","Age: 70 ex_fr_female$Type: Predicted Year: 1901 Ex: 9.137278","Age: 70 ex_fr_female$Type: Predicted Year: 1902 Ex: 9.312718","Age: 70 ex_fr_female$Type: Predicted Year: 1903 Ex: 9.267935","Age: 70 ex_fr_female$Type: Predicted Year: 1904 Ex: 9.179804","Age: 70 ex_fr_female$Type: Predicted Year: 1905 Ex: 9.072458","Age: 70 ex_fr_female$Type: Predicted Year: 1906 Ex: 9.117083","Age: 70 ex_fr_female$Type: Predicted Year: 1907 Ex: 8.806732","Age: 70 ex_fr_female$Type: Predicted Year: 1908 Ex: 9.284998","Age: 70 ex_fr_female$Type: Predicted Year: 1909 Ex: 8.912329","Age: 70 ex_fr_female$Type: Predicted Year: 1910 Ex: 9.499480","Age: 70 ex_fr_female$Type: Predicted Year: 1911 Ex: 8.987163","Age: 70 ex_fr_female$Type: Predicted Year: 1912 Ex: 9.660803","Age: 70 ex_fr_female$Type: Predicted Year: 1913 Ex: 9.602307","Age: 70 ex_fr_female$Type: Predicted Year: 1914 Ex: 9.059122","Age: 70 ex_fr_female$Type: Predicted Year: 1915 Ex: 9.186325","Age: 70 ex_fr_female$Type: Predicted Year: 1916 Ex: 9.269693","Age: 70 ex_fr_female$Type: Predicted Year: 1917 Ex: 9.063198","Age: 70 ex_fr_female$Type: Predicted Year: 1918 Ex: 9.161395","Age: 70 ex_fr_female$Type: Predicted Year: 1919 Ex: 9.257864","Age: 70 ex_fr_female$Type: Predicted Year: 1920 Ex: 9.885791","Age: 70 ex_fr_female$Type: Predicted Year: 1921 Ex: 9.819834","Age: 70 ex_fr_female$Type: Predicted Year: 1922 Ex: 9.457644","Age: 70 ex_fr_female$Type: Predicted Year: 1923 Ex: 10.025279","Age: 70 ex_fr_female$Type: Predicted Year: 1924 Ex: 9.792155","Age: 70 ex_fr_female$Type: Predicted Year: 1925 Ex: 9.679442","Age: 70 ex_fr_female$Type: Predicted Year: 1926 Ex: 9.761878","Age: 70 ex_fr_female$Type: Predicted Year: 1927 Ex: 9.825761","Age: 70 ex_fr_female$Type: Predicted Year: 1928 Ex: 10.032308","Age: 70 ex_fr_female$Type: Predicted Year: 1929 Ex: 9.298789","Age: 70 ex_fr_female$Type: Predicted Year: 1930 Ex: 10.490033","Age: 70 ex_fr_female$Type: Predicted Year: 1931 Ex: 9.871351","Age: 70 ex_fr_female$Type: Predicted Year: 1932 Ex: 10.170563","Age: 70 ex_fr_female$Type: Predicted Year: 1933 Ex: 10.128037","Age: 70 ex_fr_female$Type: Predicted Year: 1934 Ex: 10.558442","Age: 70 ex_fr_female$Type: Predicted Year: 1935 Ex: 10.252606","Age: 70 ex_fr_female$Type: Predicted Year: 1936 Ex: 10.393392","Age: 70 ex_fr_female$Type: Predicted Year: 1937 Ex: 10.622458","Age: 70 ex_fr_female$Type: Predicted Year: 1938 Ex: 10.413409","Age: 70 ex_fr_female$Type: Predicted Year: 1939 Ex: 10.273587","Age: 70 ex_fr_female$Type: Predicted Year: 1940 Ex: 9.236029","Age: 70 ex_fr_female$Type: Predicted Year: 1941 Ex: 10.090988","Age: 70 ex_fr_female$Type: Predicted Year: 1942 Ex: 10.093164","Age: 70 ex_fr_female$Type: Predicted Year: 1943 Ex: 10.270365","Age: 70 ex_fr_female$Type: Predicted Year: 1944 Ex: 9.631432","Age: 70 ex_fr_female$Type: Predicted Year: 1945 Ex: 10.325317","Age: 70 ex_fr_female$Type: Predicted Year: 1946 Ex: 11.294578","Age: 70 ex_fr_female$Type: Predicted Year: 1947 Ex: 11.453712","Age: 70 ex_fr_female$Type: Predicted Year: 1948 Ex: 11.939205","Age: 70 ex_fr_female$Type: Predicted Year: 1949 Ex: 10.941254","Age: 70 ex_fr_female$Type: Predicted Year: 1950 Ex: 11.567564","Age: 70 ex_fr_female$Type: Predicted Year: 1951 Ex: 11.134191","Age: 70 ex_fr_female$Type: Predicted Year: 1952 Ex: 11.740891","Age: 70 ex_fr_female$Type: Predicted Year: 1953 Ex: 11.233582","Age: 70 ex_fr_female$Type: Predicted Year: 1954 Ex: 11.958945","Age: 70 ex_fr_female$Type: Predicted Year: 1955 Ex: 11.911920","Age: 70 ex_fr_female$Type: Predicted Year: 1956 Ex: 11.676412","Age: 70 ex_fr_female$Type: Predicted Year: 1957 Ex: 12.014692","Age: 70 ex_fr_female$Type: Predicted Year: 1958 Ex: 12.370789","Age: 70 ex_fr_female$Type: Predicted Year: 1959 Ex: 12.424602","Age: 70 ex_fr_female$Type: Predicted Year: 1960 Ex: 12.374544","Age: 70 ex_fr_female$Type: Predicted Year: 1961 Ex: 12.845356","Age: 70 ex_fr_female$Type: Predicted Year: 1962 Ex: 12.378127","Age: 70 ex_fr_female$Type: Predicted Year: 1963 Ex: 12.315919","Age: 70 ex_fr_female$Type: Predicted Year: 1964 Ex: 13.002866","Age: 70 ex_fr_female$Type: Predicted Year: 1965 Ex: 12.797565","Age: 70 ex_fr_female$Type: Predicted Year: 1966 Ex: 13.136175","Age: 70 ex_fr_female$Type: Predicted Year: 1967 Ex: 13.074956","Age: 70 ex_fr_female$Type: Predicted Year: 1968 Ex: 13.029619","Age: 70 ex_fr_female$Type: Predicted Year: 1969 Ex: 12.942482","Age: 70 ex_fr_female$Type: Predicted Year: 1970 Ex: 13.348029","Age: 70 ex_fr_female$Type: Predicted Year: 1971 Ex: 13.331745","Age: 70 ex_fr_female$Type: Predicted Year: 1972 Ex: 13.570600","Age: 70 ex_fr_female$Type: Predicted Year: 1973 Ex: 13.476347","Age: 70 ex_fr_female$Type: Predicted Year: 1974 Ex: 13.696822","Age: 70 ex_fr_female$Type: Predicted Year: 1975 Ex: 13.719493","Age: 70 ex_fr_female$Type: Predicted Year: 1976 Ex: 13.861224","Age: 70 ex_fr_female$Type: Predicted Year: 1977 Ex: 14.300630","Age: 70 ex_fr_female$Type: Predicted Year: 1978 Ex: 14.282794","Age: 70 ex_fr_female$Type: Predicted Year: 1979 Ex: 14.508866","Age: 70 ex_fr_female$Type: Predicted Year: 1980 Ex: 14.561761","Age: 70 ex_fr_female$Type: Predicted Year: 1981 Ex: 14.533921","Age: 70 ex_fr_female$Type: Predicted Year: 1982 Ex: 14.838072","Age: 70 ex_fr_female$Type: Predicted Year: 1983 Ex: 14.697331","Age: 70 ex_fr_female$Type: Predicted Year: 1984 Ex: 15.089167","Age: 70 ex_fr_female$Type: Predicted Year: 1985 Ex: 15.072080","Age: 70 ex_fr_female$Type: Predicted Year: 1986 Ex: 15.254593","Age: 70 ex_fr_female$Type: Predicted Year: 1987 Ex: 15.705314","Age: 70 ex_fr_female$Type: Predicted Year: 1988 Ex: 15.861683","Age: 70 ex_fr_female$Type: Predicted Year: 1989 Ex: 15.966539","Age: 70 ex_fr_female$Type: Predicted Year: 1990 Ex: 16.112268","Age: 70 ex_fr_female$Type: Predicted Year: 1991 Ex: 16.342129","Age: 70 ex_fr_female$Type: Predicted Year: 1992 Ex: 16.538158","Age: 70 ex_fr_female$Type: Predicted Year: 1993 Ex: 16.543024","Age: 70 ex_fr_female$Type: Predicted Year: 1994 Ex: 16.877683","Age: 70 ex_fr_female$Type: Predicted Year: 1995 Ex: 16.824334","Age: 70 ex_fr_female$Type: Predicted Year: 1996 Ex: 16.867136","Age: 70 ex_fr_female$Type: Predicted Year: 1997 Ex: 17.018823","Age: 70 ex_fr_female$Type: Predicted Year: 1998 Ex: 17.069560","Age: 70 ex_fr_female$Type: Predicted Year: 1999 Ex: 17.094224","Age: 70 ex_fr_female$Type: Predicted Year: 2000 Ex: 17.314348","Age: 70 ex_fr_female$Type: Predicted Year: 2001 Ex: 17.459421","Age: 70 ex_fr_female$Type: Predicted Year: 2002 Ex: 17.483389","Age: 70 ex_fr_female$Type: Predicted Year: 2003 Ex: 17.323938","Age: 70 ex_fr_female$Type: Predicted Year: 2004 Ex: 18.162071","Age: 70 ex_fr_female$Type: Predicted Year: 2005 Ex: 18.028768","Age: 70 ex_fr_female$Type: Predicted Year: 2006 Ex: 18.373758","Age: 70 ex_fr_female$Type: Predicted Year: 2007 Ex: 18.480618","Age: 70 ex_fr_female$Type: Predicted Year: 2008 Ex: 18.468007","Age: 70 ex_fr_female$Type: Predicted Year: 2009 Ex: 18.570532","Age: 70 ex_fr_female$Type: Predicted Year: 2010 Ex: 18.727998","Age: 70 ex_fr_female$Type: Predicted Year: 2011 Ex: 19.003990","Age: 70 ex_fr_female$Type: Predicted Year: 2012 Ex: 18.799624","Age: 70 ex_fr_female$Type: Predicted Year: 2013 Ex: 18.978767","Age: 70 ex_fr_female$Type: Predicted Year: 2014 Ex: 19.320951","Age: 70 ex_fr_female$Type: Predicted Year: 2015 Ex: 19.023439","Age: 70 ex_fr_female$Type: Predicted Year: 2016 Ex: 19.198723","Age: 70 ex_fr_female$Type: Predicted Year: 2017 Ex: 19.169762"],"frame":"70","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"71","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[7.91,8.13,8.19,8.34,7.89,8.6,8.48,8.46,8.7,8.59,8.13,8.47,8.17,7.87,7.87,8.02,7.35,8.28,8,8.29,8.36,7.21,8.04,8.47,8.03,8.41,7.93,8.15,8.22,8.41,8.23,7.58,7.81,7.59,8.25,8.08,8.18,7.87,7.35,7.44,8.22,7.96,7.56,7.75,8.24,8.22,8.28,8.14,7.85,7.75,7.99,7.97,7.86,7.95,7.2,7.1,8.68,8.16,8.4,7.97,8.27,8.49,8.11,7.95,8.23,8.64,8.68,8.62,8.63,8.63,8.61,8.6,8.31,8.63,8.03,7.69,7.74,7.81,8.18,7.78,8.49,8.66,8.17,8.2,7.85,8.34,8.5,8.46,8.38,8.27,8.31,7.98,8.45,8.09,8.65,8.15,8.81,8.77,8.25,8.36,8.43,8.23,8.33,8.41,9.02,8.96,8.6,9.16,8.93,8.81,8.9,8.97,9.17,8.45,9.62,8.99,9.32,9.27,9.68,9.39,9.51,9.74,9.54,9.4,8.39,9.21,9.21,9.39,8.76,9.44,10.37,10.52,11.01,10.03,10.64,10.2,10.81,10.3,11.02,10.95,10.73,11.07,11.4,11.45,11.41,11.86,11.41,11.34,12.03,11.82,12.16,12.09,12.05,11.97,12.35,12.33,12.57,12.48,12.69,12.71,12.84,13.28,13.26,13.48,13.52,13.49,13.79,13.65,14.04,14.01,14.21,14.64,14.8,14.9,15.04,15.27,15.46,15.46,15.8,15.74,15.8,15.94,15.99,16.01,16.23,16.37,16.39,16.23,17.06,16.93,17.27,17.38,17.36,17.46,17.61,17.89,17.69,17.87,18.21,17.91,18.09,18.06],"text":["Age: 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ex_fr_female$Type: Observed Year: 1848 Ex: 7.810000","Age: 71 ex_fr_female$Type: Observed Year: 1849 Ex: 7.590000","Age: 71 ex_fr_female$Type: Observed Year: 1850 Ex: 8.250000","Age: 71 ex_fr_female$Type: Observed Year: 1851 Ex: 8.080000","Age: 71 ex_fr_female$Type: Observed Year: 1852 Ex: 8.180000","Age: 71 ex_fr_female$Type: Observed Year: 1853 Ex: 7.870000","Age: 71 ex_fr_female$Type: Observed Year: 1854 Ex: 7.350000","Age: 71 ex_fr_female$Type: Observed Year: 1855 Ex: 7.440000","Age: 71 ex_fr_female$Type: Observed Year: 1856 Ex: 8.220000","Age: 71 ex_fr_female$Type: Observed Year: 1857 Ex: 7.960000","Age: 71 ex_fr_female$Type: Observed Year: 1858 Ex: 7.560000","Age: 71 ex_fr_female$Type: Observed Year: 1859 Ex: 7.750000","Age: 71 ex_fr_female$Type: Observed Year: 1860 Ex: 8.240000","Age: 71 ex_fr_female$Type: Observed Year: 1861 Ex: 8.220000","Age: 71 ex_fr_female$Type: Observed Year: 1862 Ex: 8.280000","Age: 71 ex_fr_female$Type: Observed Year: 1863 Ex: 8.140000","Age: 71 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ex_fr_female$Type: Observed Year: 1880 Ex: 8.230000","Age: 71 ex_fr_female$Type: Observed Year: 1881 Ex: 8.640000","Age: 71 ex_fr_female$Type: Observed Year: 1882 Ex: 8.680000","Age: 71 ex_fr_female$Type: Observed Year: 1883 Ex: 8.620000","Age: 71 ex_fr_female$Type: Observed Year: 1884 Ex: 8.630000","Age: 71 ex_fr_female$Type: Observed Year: 1885 Ex: 8.630000","Age: 71 ex_fr_female$Type: Observed Year: 1886 Ex: 8.610000","Age: 71 ex_fr_female$Type: Observed Year: 1887 Ex: 8.600000","Age: 71 ex_fr_female$Type: Observed Year: 1888 Ex: 8.310000","Age: 71 ex_fr_female$Type: Observed Year: 1889 Ex: 8.630000","Age: 71 ex_fr_female$Type: Observed Year: 1890 Ex: 8.030000","Age: 71 ex_fr_female$Type: Observed Year: 1891 Ex: 7.690000","Age: 71 ex_fr_female$Type: Observed Year: 1892 Ex: 7.740000","Age: 71 ex_fr_female$Type: Observed Year: 1893 Ex: 7.810000","Age: 71 ex_fr_female$Type: Observed Year: 1894 Ex: 8.180000","Age: 71 ex_fr_female$Type: Observed Year: 1895 Ex: 7.780000","Age: 71 ex_fr_female$Type: Observed Year: 1896 Ex: 8.490000","Age: 71 ex_fr_female$Type: Observed Year: 1897 Ex: 8.660000","Age: 71 ex_fr_female$Type: Observed Year: 1898 Ex: 8.170000","Age: 71 ex_fr_female$Type: Observed Year: 1899 Ex: 8.200000","Age: 71 ex_fr_female$Type: Observed Year: 1900 Ex: 7.850000","Age: 71 ex_fr_female$Type: Observed Year: 1901 Ex: 8.340000","Age: 71 ex_fr_female$Type: Observed Year: 1902 Ex: 8.500000","Age: 71 ex_fr_female$Type: Observed Year: 1903 Ex: 8.460000","Age: 71 ex_fr_female$Type: Observed Year: 1904 Ex: 8.380000","Age: 71 ex_fr_female$Type: Observed Year: 1905 Ex: 8.270000","Age: 71 ex_fr_female$Type: Observed Year: 1906 Ex: 8.310000","Age: 71 ex_fr_female$Type: Observed Year: 1907 Ex: 7.980000","Age: 71 ex_fr_female$Type: Observed Year: 1908 Ex: 8.450000","Age: 71 ex_fr_female$Type: Observed Year: 1909 Ex: 8.090000","Age: 71 ex_fr_female$Type: Observed Year: 1910 Ex: 8.650000","Age: 71 ex_fr_female$Type: Observed Year: 1911 Ex: 8.150000","Age: 71 ex_fr_female$Type: Observed Year: 1912 Ex: 8.810000","Age: 71 ex_fr_female$Type: Observed Year: 1913 Ex: 8.770000","Age: 71 ex_fr_female$Type: Observed Year: 1914 Ex: 8.250000","Age: 71 ex_fr_female$Type: Observed Year: 1915 Ex: 8.360000","Age: 71 ex_fr_female$Type: Observed Year: 1916 Ex: 8.430000","Age: 71 ex_fr_female$Type: Observed Year: 1917 Ex: 8.230000","Age: 71 ex_fr_female$Type: Observed Year: 1918 Ex: 8.330000","Age: 71 ex_fr_female$Type: Observed Year: 1919 Ex: 8.410000","Age: 71 ex_fr_female$Type: Observed Year: 1920 Ex: 9.020000","Age: 71 ex_fr_female$Type: Observed Year: 1921 Ex: 8.960000","Age: 71 ex_fr_female$Type: Observed Year: 1922 Ex: 8.600000","Age: 71 ex_fr_female$Type: Observed Year: 1923 Ex: 9.160000","Age: 71 ex_fr_female$Type: Observed Year: 1924 Ex: 8.930000","Age: 71 ex_fr_female$Type: Observed Year: 1925 Ex: 8.810000","Age: 71 ex_fr_female$Type: Observed Year: 1926 Ex: 8.900000","Age: 71 ex_fr_female$Type: Observed Year: 1927 Ex: 8.970000","Age: 71 ex_fr_female$Type: Observed Year: 1928 Ex: 9.170000","Age: 71 ex_fr_female$Type: Observed Year: 1929 Ex: 8.450000","Age: 71 ex_fr_female$Type: Observed Year: 1930 Ex: 9.620000","Age: 71 ex_fr_female$Type: Observed Year: 1931 Ex: 8.990000","Age: 71 ex_fr_female$Type: Observed Year: 1932 Ex: 9.320000","Age: 71 ex_fr_female$Type: Observed Year: 1933 Ex: 9.270000","Age: 71 ex_fr_female$Type: Observed Year: 1934 Ex: 9.680000","Age: 71 ex_fr_female$Type: Observed Year: 1935 Ex: 9.390000","Age: 71 ex_fr_female$Type: Observed Year: 1936 Ex: 9.510000","Age: 71 ex_fr_female$Type: Observed Year: 1937 Ex: 9.740000","Age: 71 ex_fr_female$Type: Observed Year: 1938 Ex: 9.540000","Age: 71 ex_fr_female$Type: Observed Year: 1939 Ex: 9.400000","Age: 71 ex_fr_female$Type: Observed Year: 1940 Ex: 8.390000","Age: 71 ex_fr_female$Type: Observed Year: 1941 Ex: 9.210000","Age: 71 ex_fr_female$Type: Observed Year: 1942 Ex: 9.210000","Age: 71 ex_fr_female$Type: Observed Year: 1943 Ex: 9.390000","Age: 71 ex_fr_female$Type: Observed Year: 1944 Ex: 8.760000","Age: 71 ex_fr_female$Type: Observed Year: 1945 Ex: 9.440000","Age: 71 ex_fr_female$Type: Observed Year: 1946 Ex: 10.370000","Age: 71 ex_fr_female$Type: Observed Year: 1947 Ex: 10.520000","Age: 71 ex_fr_female$Type: Observed Year: 1948 Ex: 11.010000","Age: 71 ex_fr_female$Type: Observed Year: 1949 Ex: 10.030000","Age: 71 ex_fr_female$Type: Observed Year: 1950 Ex: 10.640000","Age: 71 ex_fr_female$Type: Observed Year: 1951 Ex: 10.200000","Age: 71 ex_fr_female$Type: Observed Year: 1952 Ex: 10.810000","Age: 71 ex_fr_female$Type: Observed Year: 1953 Ex: 10.300000","Age: 71 ex_fr_female$Type: Observed Year: 1954 Ex: 11.020000","Age: 71 ex_fr_female$Type: Observed Year: 1955 Ex: 10.950000","Age: 71 ex_fr_female$Type: Observed Year: 1956 Ex: 10.730000","Age: 71 ex_fr_female$Type: Observed Year: 1957 Ex: 11.070000","Age: 71 ex_fr_female$Type: Observed Year: 1958 Ex: 11.400000","Age: 71 ex_fr_female$Type: Observed Year: 1959 Ex: 11.450000","Age: 71 ex_fr_female$Type: Observed Year: 1960 Ex: 11.410000","Age: 71 ex_fr_female$Type: Observed Year: 1961 Ex: 11.860000","Age: 71 ex_fr_female$Type: Observed Year: 1962 Ex: 11.410000","Age: 71 ex_fr_female$Type: Observed Year: 1963 Ex: 11.340000","Age: 71 ex_fr_female$Type: Observed Year: 1964 Ex: 12.030000","Age: 71 ex_fr_female$Type: Observed Year: 1965 Ex: 11.820000","Age: 71 ex_fr_female$Type: Observed Year: 1966 Ex: 12.160000","Age: 71 ex_fr_female$Type: Observed Year: 1967 Ex: 12.090000","Age: 71 ex_fr_female$Type: Observed Year: 1968 Ex: 12.050000","Age: 71 ex_fr_female$Type: Observed Year: 1969 Ex: 11.970000","Age: 71 ex_fr_female$Type: Observed Year: 1970 Ex: 12.350000","Age: 71 ex_fr_female$Type: Observed Year: 1971 Ex: 12.330000","Age: 71 ex_fr_female$Type: Observed Year: 1972 Ex: 12.570000","Age: 71 ex_fr_female$Type: Observed Year: 1973 Ex: 12.480000","Age: 71 ex_fr_female$Type: Observed Year: 1974 Ex: 12.690000","Age: 71 ex_fr_female$Type: Observed Year: 1975 Ex: 12.710000","Age: 71 ex_fr_female$Type: Observed Year: 1976 Ex: 12.840000","Age: 71 ex_fr_female$Type: Observed Year: 1977 Ex: 13.280000","Age: 71 ex_fr_female$Type: Observed Year: 1978 Ex: 13.260000","Age: 71 ex_fr_female$Type: Observed Year: 1979 Ex: 13.480000","Age: 71 ex_fr_female$Type: Observed Year: 1980 Ex: 13.520000","Age: 71 ex_fr_female$Type: Observed Year: 1981 Ex: 13.490000","Age: 71 ex_fr_female$Type: Observed Year: 1982 Ex: 13.790000","Age: 71 ex_fr_female$Type: Observed Year: 1983 Ex: 13.650000","Age: 71 ex_fr_female$Type: Observed Year: 1984 Ex: 14.040000","Age: 71 ex_fr_female$Type: Observed Year: 1985 Ex: 14.010000","Age: 71 ex_fr_female$Type: Observed Year: 1986 Ex: 14.210000","Age: 71 ex_fr_female$Type: Observed Year: 1987 Ex: 14.640000","Age: 71 ex_fr_female$Type: Observed Year: 1988 Ex: 14.800000","Age: 71 ex_fr_female$Type: Observed Year: 1989 Ex: 14.900000","Age: 71 ex_fr_female$Type: Observed Year: 1990 Ex: 15.040000","Age: 71 ex_fr_female$Type: Observed Year: 1991 Ex: 15.270000","Age: 71 ex_fr_female$Type: Observed Year: 1992 Ex: 15.460000","Age: 71 ex_fr_female$Type: Observed Year: 1993 Ex: 15.460000","Age: 71 ex_fr_female$Type: Observed Year: 1994 Ex: 15.800000","Age: 71 ex_fr_female$Type: Observed Year: 1995 Ex: 15.740000","Age: 71 ex_fr_female$Type: Observed Year: 1996 Ex: 15.800000","Age: 71 ex_fr_female$Type: Observed Year: 1997 Ex: 15.940000","Age: 71 ex_fr_female$Type: Observed Year: 1998 Ex: 15.990000","Age: 71 ex_fr_female$Type: Observed Year: 1999 Ex: 16.010000","Age: 71 ex_fr_female$Type: Observed Year: 2000 Ex: 16.230000","Age: 71 ex_fr_female$Type: Observed Year: 2001 Ex: 16.370000","Age: 71 ex_fr_female$Type: Observed Year: 2002 Ex: 16.390000","Age: 71 ex_fr_female$Type: Observed Year: 2003 Ex: 16.230000","Age: 71 ex_fr_female$Type: Observed Year: 2004 Ex: 17.060000","Age: 71 ex_fr_female$Type: Observed Year: 2005 Ex: 16.930000","Age: 71 ex_fr_female$Type: Observed Year: 2006 Ex: 17.270000","Age: 71 ex_fr_female$Type: Observed Year: 2007 Ex: 17.380000","Age: 71 ex_fr_female$Type: Observed Year: 2008 Ex: 17.360000","Age: 71 ex_fr_female$Type: Observed Year: 2009 Ex: 17.460000","Age: 71 ex_fr_female$Type: Observed Year: 2010 Ex: 17.610000","Age: 71 ex_fr_female$Type: Observed Year: 2011 Ex: 17.890000","Age: 71 ex_fr_female$Type: Observed Year: 2012 Ex: 17.690000","Age: 71 ex_fr_female$Type: Observed Year: 2013 Ex: 17.870000","Age: 71 ex_fr_female$Type: Observed Year: 2014 Ex: 18.210000","Age: 71 ex_fr_female$Type: Observed Year: 2015 Ex: 17.910000","Age: 71 ex_fr_female$Type: Observed Year: 2016 Ex: 18.090000","Age: 71 ex_fr_female$Type: Observed Year: 2017 Ex: 18.060000"],"frame":"71","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[8.28569089250138,8.49725023762881,8.56064731269928,8.70342949588804,8.2608292507522,8.96252834716848,8.84004602769728,8.8188676803419,9.06532261949898,8.95067774554066,8.48832231453252,8.83509681708827,8.53740951598354,8.23519319284766,8.24345983286713,8.38217560018699,7.72701293270674,8.64672627052971,8.36915739319836,8.65247225649085,8.71795804152743,7.58734028429312,8.40775868211943,8.83612365440618,8.38950553120764,8.76755453188391,8.29567718918415,8.50778706459012,8.58399021042811,8.76612248578959,8.58161483530381,7.94257841594959,8.1746498153529,7.95812885532982,8.60607379765966,8.43446250797315,8.53342909301787,8.22528283293722,7.70990191264422,7.78971355680573,8.5640796117834,8.30959420889381,7.91706662633967,8.10678459288524,8.58982617270883,8.57294137843814,8.62731303839769,8.49376969126776,8.20479139114881,8.11117898063035,8.34934205415146,8.32720136334144,8.21285320055918,8.30069421872935,7.56047068240277,7.45651051891267,9.02872968121461,8.5083941493449,8.75188705024399,8.31942471898115,8.62014420419425,8.83002423504448,8.45748887913011,8.2918218223417,8.57332374995742,8.98123545028132,9.02615738447696,8.95554439891448,8.96811768645714,8.97287204087005,8.94573081213319,8.94412131533825,8.65637078642961,8.97611985990796,8.37525699581445,8.03806326445543,8.09262731929434,8.15926025764368,8.52112983465337,8.12965521599255,8.83516526686372,9.00520113791955,8.51940548647394,8.54563677992616,8.19356400706576,8.67861385808227,8.84519863149542,8.80376054361199,8.7193745359761,8.60535601986376,8.6485412668228,8.32929505909256,8.78796905240837,8.43876126710998,8.98601835926022,8.4862922910552,9.14833568238083,9.11179807859685,8.58755154263009,8.69974494432496,8.76510866200318,8.56725243352943,8.66462377294396,8.74048990280285,9.35132927031977,9.29062036785942,8.93663081327279,9.49473497203264,9.26730724108747,9.1456452720909,9.23294940182578,9.29792518472671,9.50191093920992,8.78023323352373,9.9455415503012,9.31631248954806,9.64301820645173,9.59205112048299,10.0105485176817,9.7141369538825,9.83621833221566,10.0691911493495,9.86158731713398,9.72853501313305,8.71486923205453,9.53201452380435,9.53489333536371,9.71238318522252,9.09164538292269,9.759449709272,10.6887387825296,10.838135413472,11.3263433877829,10.3510237094841,10.9522014733328,10.5159920773216,11.1215508313781,10.6156147145542,11.3310016824478,11.2656090247611,11.0394105345855,11.3819017022063,11.7132647337567,11.7597974299159,11.7128509856721,12.1700558078483,11.7148258275099,11.6504898746293,12.3332484749433,12.1274476225373,12.4639851984056,12.39434131881,12.3510657301174,12.2716522661593,12.6486806463415,12.6329349716601,12.8665635503639,12.7760175034305,12.9907856033567,13.0051797452908,13.1393294541711,13.5771778169147,13.5547669717647,13.772019201792,13.8147372127888,13.7809680414806,14.0811374857397,13.9384444714908,14.3271449273798,14.3057805453453,14.50171890558,14.9253960302062,15.0891719705456,15.1844405214597,15.3249409428472,15.5572910635218,15.7478551961303,15.7492101983489,16.0838576962058,16.0253741740237,16.0779846157887,16.2225924615379,16.2709368467863,16.2876721755764,16.5098521771804,16.6495787303828,16.6715825977332,16.5103650413288,17.3404717747514,17.2056445579552,17.544550048077,17.6569691444224,17.6389732238712,17.7393727003749,17.8900324785429,18.167358150495,17.96524940951,18.1450821293752,18.4844592550589,18.1882868568914,18.3619243602801,18.338361342513],"text":["Age: 71 ex_fr_female$Type: Predicted Year: 1816 Ex: 8.285691","Age: 71 ex_fr_female$Type: Predicted Year: 1817 Ex: 8.497250","Age: 71 ex_fr_female$Type: Predicted Year: 1818 Ex: 8.560647","Age: 71 ex_fr_female$Type: Predicted Year: 1819 Ex: 8.703429","Age: 71 ex_fr_female$Type: Predicted Year: 1820 Ex: 8.260829","Age: 71 ex_fr_female$Type: Predicted Year: 1821 Ex: 8.962528","Age: 71 ex_fr_female$Type: Predicted Year: 1822 Ex: 8.840046","Age: 71 ex_fr_female$Type: Predicted Year: 1823 Ex: 8.818868","Age: 71 ex_fr_female$Type: Predicted Year: 1824 Ex: 9.065323","Age: 71 ex_fr_female$Type: Predicted Year: 1825 Ex: 8.950678","Age: 71 ex_fr_female$Type: Predicted Year: 1826 Ex: 8.488322","Age: 71 ex_fr_female$Type: Predicted Year: 1827 Ex: 8.835097","Age: 71 ex_fr_female$Type: Predicted Year: 1828 Ex: 8.537410","Age: 71 ex_fr_female$Type: Predicted Year: 1829 Ex: 8.235193","Age: 71 ex_fr_female$Type: Predicted Year: 1830 Ex: 8.243460","Age: 71 ex_fr_female$Type: Predicted Year: 1831 Ex: 8.382176","Age: 71 ex_fr_female$Type: Predicted Year: 1832 Ex: 7.727013","Age: 71 ex_fr_female$Type: Predicted Year: 1833 Ex: 8.646726","Age: 71 ex_fr_female$Type: Predicted Year: 1834 Ex: 8.369157","Age: 71 ex_fr_female$Type: Predicted Year: 1835 Ex: 8.652472","Age: 71 ex_fr_female$Type: Predicted Year: 1836 Ex: 8.717958","Age: 71 ex_fr_female$Type: Predicted Year: 1837 Ex: 7.587340","Age: 71 ex_fr_female$Type: Predicted Year: 1838 Ex: 8.407759","Age: 71 ex_fr_female$Type: Predicted Year: 1839 Ex: 8.836124","Age: 71 ex_fr_female$Type: Predicted Year: 1840 Ex: 8.389506","Age: 71 ex_fr_female$Type: Predicted Year: 1841 Ex: 8.767555","Age: 71 ex_fr_female$Type: Predicted Year: 1842 Ex: 8.295677","Age: 71 ex_fr_female$Type: Predicted Year: 1843 Ex: 8.507787","Age: 71 ex_fr_female$Type: Predicted Year: 1844 Ex: 8.583990","Age: 71 ex_fr_female$Type: Predicted Year: 1845 Ex: 8.766122","Age: 71 ex_fr_female$Type: Predicted Year: 1846 Ex: 8.581615","Age: 71 ex_fr_female$Type: Predicted Year: 1847 Ex: 7.942578","Age: 71 ex_fr_female$Type: Predicted Year: 1848 Ex: 8.174650","Age: 71 ex_fr_female$Type: Predicted Year: 1849 Ex: 7.958129","Age: 71 ex_fr_female$Type: Predicted Year: 1850 Ex: 8.606074","Age: 71 ex_fr_female$Type: Predicted Year: 1851 Ex: 8.434463","Age: 71 ex_fr_female$Type: Predicted Year: 1852 Ex: 8.533429","Age: 71 ex_fr_female$Type: Predicted Year: 1853 Ex: 8.225283","Age: 71 ex_fr_female$Type: Predicted Year: 1854 Ex: 7.709902","Age: 71 ex_fr_female$Type: Predicted Year: 1855 Ex: 7.789714","Age: 71 ex_fr_female$Type: Predicted Year: 1856 Ex: 8.564080","Age: 71 ex_fr_female$Type: Predicted Year: 1857 Ex: 8.309594","Age: 71 ex_fr_female$Type: Predicted Year: 1858 Ex: 7.917067","Age: 71 ex_fr_female$Type: Predicted Year: 1859 Ex: 8.106785","Age: 71 ex_fr_female$Type: Predicted Year: 1860 Ex: 8.589826","Age: 71 ex_fr_female$Type: Predicted Year: 1861 Ex: 8.572941","Age: 71 ex_fr_female$Type: Predicted Year: 1862 Ex: 8.627313","Age: 71 ex_fr_female$Type: Predicted Year: 1863 Ex: 8.493770","Age: 71 ex_fr_female$Type: Predicted Year: 1864 Ex: 8.204791","Age: 71 ex_fr_female$Type: Predicted Year: 1865 Ex: 8.111179","Age: 71 ex_fr_female$Type: Predicted Year: 1866 Ex: 8.349342","Age: 71 ex_fr_female$Type: Predicted Year: 1867 Ex: 8.327201","Age: 71 ex_fr_female$Type: Predicted Year: 1868 Ex: 8.212853","Age: 71 ex_fr_female$Type: Predicted Year: 1869 Ex: 8.300694","Age: 71 ex_fr_female$Type: Predicted Year: 1870 Ex: 7.560471","Age: 71 ex_fr_female$Type: Predicted Year: 1871 Ex: 7.456511","Age: 71 ex_fr_female$Type: Predicted Year: 1872 Ex: 9.028730","Age: 71 ex_fr_female$Type: Predicted Year: 1873 Ex: 8.508394","Age: 71 ex_fr_female$Type: Predicted Year: 1874 Ex: 8.751887","Age: 71 ex_fr_female$Type: Predicted Year: 1875 Ex: 8.319425","Age: 71 ex_fr_female$Type: Predicted Year: 1876 Ex: 8.620144","Age: 71 ex_fr_female$Type: Predicted Year: 1877 Ex: 8.830024","Age: 71 ex_fr_female$Type: Predicted Year: 1878 Ex: 8.457489","Age: 71 ex_fr_female$Type: Predicted Year: 1879 Ex: 8.291822","Age: 71 ex_fr_female$Type: Predicted Year: 1880 Ex: 8.573324","Age: 71 ex_fr_female$Type: Predicted Year: 1881 Ex: 8.981235","Age: 71 ex_fr_female$Type: Predicted Year: 1882 Ex: 9.026157","Age: 71 ex_fr_female$Type: Predicted Year: 1883 Ex: 8.955544","Age: 71 ex_fr_female$Type: Predicted Year: 1884 Ex: 8.968118","Age: 71 ex_fr_female$Type: Predicted Year: 1885 Ex: 8.972872","Age: 71 ex_fr_female$Type: Predicted Year: 1886 Ex: 8.945731","Age: 71 ex_fr_female$Type: Predicted Year: 1887 Ex: 8.944121","Age: 71 ex_fr_female$Type: Predicted Year: 1888 Ex: 8.656371","Age: 71 ex_fr_female$Type: Predicted Year: 1889 Ex: 8.976120","Age: 71 ex_fr_female$Type: Predicted Year: 1890 Ex: 8.375257","Age: 71 ex_fr_female$Type: Predicted Year: 1891 Ex: 8.038063","Age: 71 ex_fr_female$Type: Predicted Year: 1892 Ex: 8.092627","Age: 71 ex_fr_female$Type: Predicted Year: 1893 Ex: 8.159260","Age: 71 ex_fr_female$Type: Predicted Year: 1894 Ex: 8.521130","Age: 71 ex_fr_female$Type: Predicted Year: 1895 Ex: 8.129655","Age: 71 ex_fr_female$Type: Predicted Year: 1896 Ex: 8.835165","Age: 71 ex_fr_female$Type: Predicted Year: 1897 Ex: 9.005201","Age: 71 ex_fr_female$Type: Predicted Year: 1898 Ex: 8.519405","Age: 71 ex_fr_female$Type: Predicted Year: 1899 Ex: 8.545637","Age: 71 ex_fr_female$Type: Predicted Year: 1900 Ex: 8.193564","Age: 71 ex_fr_female$Type: Predicted Year: 1901 Ex: 8.678614","Age: 71 ex_fr_female$Type: Predicted Year: 1902 Ex: 8.845199","Age: 71 ex_fr_female$Type: Predicted Year: 1903 Ex: 8.803761","Age: 71 ex_fr_female$Type: Predicted Year: 1904 Ex: 8.719375","Age: 71 ex_fr_female$Type: Predicted Year: 1905 Ex: 8.605356","Age: 71 ex_fr_female$Type: Predicted Year: 1906 Ex: 8.648541","Age: 71 ex_fr_female$Type: Predicted Year: 1907 Ex: 8.329295","Age: 71 ex_fr_female$Type: Predicted Year: 1908 Ex: 8.787969","Age: 71 ex_fr_female$Type: Predicted Year: 1909 Ex: 8.438761","Age: 71 ex_fr_female$Type: Predicted Year: 1910 Ex: 8.986018","Age: 71 ex_fr_female$Type: Predicted Year: 1911 Ex: 8.486292","Age: 71 ex_fr_female$Type: Predicted Year: 1912 Ex: 9.148336","Age: 71 ex_fr_female$Type: Predicted Year: 1913 Ex: 9.111798","Age: 71 ex_fr_female$Type: Predicted Year: 1914 Ex: 8.587552","Age: 71 ex_fr_female$Type: Predicted Year: 1915 Ex: 8.699745","Age: 71 ex_fr_female$Type: Predicted Year: 1916 Ex: 8.765109","Age: 71 ex_fr_female$Type: Predicted Year: 1917 Ex: 8.567252","Age: 71 ex_fr_female$Type: Predicted Year: 1918 Ex: 8.664624","Age: 71 ex_fr_female$Type: Predicted Year: 1919 Ex: 8.740490","Age: 71 ex_fr_female$Type: Predicted Year: 1920 Ex: 9.351329","Age: 71 ex_fr_female$Type: Predicted Year: 1921 Ex: 9.290620","Age: 71 ex_fr_female$Type: Predicted Year: 1922 Ex: 8.936631","Age: 71 ex_fr_female$Type: Predicted Year: 1923 Ex: 9.494735","Age: 71 ex_fr_female$Type: Predicted Year: 1924 Ex: 9.267307","Age: 71 ex_fr_female$Type: Predicted Year: 1925 Ex: 9.145645","Age: 71 ex_fr_female$Type: Predicted Year: 1926 Ex: 9.232949","Age: 71 ex_fr_female$Type: Predicted Year: 1927 Ex: 9.297925","Age: 71 ex_fr_female$Type: Predicted Year: 1928 Ex: 9.501911","Age: 71 ex_fr_female$Type: Predicted Year: 1929 Ex: 8.780233","Age: 71 ex_fr_female$Type: Predicted Year: 1930 Ex: 9.945542","Age: 71 ex_fr_female$Type: Predicted Year: 1931 Ex: 9.316312","Age: 71 ex_fr_female$Type: Predicted Year: 1932 Ex: 9.643018","Age: 71 ex_fr_female$Type: Predicted Year: 1933 Ex: 9.592051","Age: 71 ex_fr_female$Type: Predicted Year: 1934 Ex: 10.010549","Age: 71 ex_fr_female$Type: Predicted Year: 1935 Ex: 9.714137","Age: 71 ex_fr_female$Type: Predicted Year: 1936 Ex: 9.836218","Age: 71 ex_fr_female$Type: Predicted Year: 1937 Ex: 10.069191","Age: 71 ex_fr_female$Type: Predicted Year: 1938 Ex: 9.861587","Age: 71 ex_fr_female$Type: Predicted Year: 1939 Ex: 9.728535","Age: 71 ex_fr_female$Type: Predicted Year: 1940 Ex: 8.714869","Age: 71 ex_fr_female$Type: Predicted Year: 1941 Ex: 9.532015","Age: 71 ex_fr_female$Type: Predicted Year: 1942 Ex: 9.534893","Age: 71 ex_fr_female$Type: Predicted Year: 1943 Ex: 9.712383","Age: 71 ex_fr_female$Type: Predicted Year: 1944 Ex: 9.091645","Age: 71 ex_fr_female$Type: Predicted Year: 1945 Ex: 9.759450","Age: 71 ex_fr_female$Type: Predicted Year: 1946 Ex: 10.688739","Age: 71 ex_fr_female$Type: Predicted Year: 1947 Ex: 10.838135","Age: 71 ex_fr_female$Type: Predicted Year: 1948 Ex: 11.326343","Age: 71 ex_fr_female$Type: Predicted Year: 1949 Ex: 10.351024","Age: 71 ex_fr_female$Type: Predicted Year: 1950 Ex: 10.952201","Age: 71 ex_fr_female$Type: Predicted Year: 1951 Ex: 10.515992","Age: 71 ex_fr_female$Type: Predicted Year: 1952 Ex: 11.121551","Age: 71 ex_fr_female$Type: Predicted Year: 1953 Ex: 10.615615","Age: 71 ex_fr_female$Type: Predicted Year: 1954 Ex: 11.331002","Age: 71 ex_fr_female$Type: Predicted Year: 1955 Ex: 11.265609","Age: 71 ex_fr_female$Type: Predicted Year: 1956 Ex: 11.039411","Age: 71 ex_fr_female$Type: Predicted Year: 1957 Ex: 11.381902","Age: 71 ex_fr_female$Type: Predicted Year: 1958 Ex: 11.713265","Age: 71 ex_fr_female$Type: Predicted Year: 1959 Ex: 11.759797","Age: 71 ex_fr_female$Type: Predicted Year: 1960 Ex: 11.712851","Age: 71 ex_fr_female$Type: Predicted Year: 1961 Ex: 12.170056","Age: 71 ex_fr_female$Type: Predicted Year: 1962 Ex: 11.714826","Age: 71 ex_fr_female$Type: Predicted Year: 1963 Ex: 11.650490","Age: 71 ex_fr_female$Type: Predicted Year: 1964 Ex: 12.333248","Age: 71 ex_fr_female$Type: Predicted Year: 1965 Ex: 12.127448","Age: 71 ex_fr_female$Type: Predicted Year: 1966 Ex: 12.463985","Age: 71 ex_fr_female$Type: Predicted Year: 1967 Ex: 12.394341","Age: 71 ex_fr_female$Type: Predicted Year: 1968 Ex: 12.351066","Age: 71 ex_fr_female$Type: Predicted Year: 1969 Ex: 12.271652","Age: 71 ex_fr_female$Type: Predicted Year: 1970 Ex: 12.648681","Age: 71 ex_fr_female$Type: Predicted Year: 1971 Ex: 12.632935","Age: 71 ex_fr_female$Type: Predicted Year: 1972 Ex: 12.866564","Age: 71 ex_fr_female$Type: Predicted Year: 1973 Ex: 12.776018","Age: 71 ex_fr_female$Type: Predicted Year: 1974 Ex: 12.990786","Age: 71 ex_fr_female$Type: Predicted Year: 1975 Ex: 13.005180","Age: 71 ex_fr_female$Type: Predicted Year: 1976 Ex: 13.139329","Age: 71 ex_fr_female$Type: Predicted Year: 1977 Ex: 13.577178","Age: 71 ex_fr_female$Type: Predicted Year: 1978 Ex: 13.554767","Age: 71 ex_fr_female$Type: Predicted Year: 1979 Ex: 13.772019","Age: 71 ex_fr_female$Type: Predicted Year: 1980 Ex: 13.814737","Age: 71 ex_fr_female$Type: Predicted Year: 1981 Ex: 13.780968","Age: 71 ex_fr_female$Type: Predicted Year: 1982 Ex: 14.081137","Age: 71 ex_fr_female$Type: Predicted Year: 1983 Ex: 13.938444","Age: 71 ex_fr_female$Type: Predicted Year: 1984 Ex: 14.327145","Age: 71 ex_fr_female$Type: Predicted Year: 1985 Ex: 14.305781","Age: 71 ex_fr_female$Type: Predicted Year: 1986 Ex: 14.501719","Age: 71 ex_fr_female$Type: Predicted Year: 1987 Ex: 14.925396","Age: 71 ex_fr_female$Type: Predicted Year: 1988 Ex: 15.089172","Age: 71 ex_fr_female$Type: Predicted Year: 1989 Ex: 15.184441","Age: 71 ex_fr_female$Type: Predicted Year: 1990 Ex: 15.324941","Age: 71 ex_fr_female$Type: Predicted Year: 1991 Ex: 15.557291","Age: 71 ex_fr_female$Type: Predicted Year: 1992 Ex: 15.747855","Age: 71 ex_fr_female$Type: Predicted Year: 1993 Ex: 15.749210","Age: 71 ex_fr_female$Type: Predicted Year: 1994 Ex: 16.083858","Age: 71 ex_fr_female$Type: Predicted Year: 1995 Ex: 16.025374","Age: 71 ex_fr_female$Type: Predicted Year: 1996 Ex: 16.077985","Age: 71 ex_fr_female$Type: Predicted Year: 1997 Ex: 16.222592","Age: 71 ex_fr_female$Type: Predicted Year: 1998 Ex: 16.270937","Age: 71 ex_fr_female$Type: Predicted Year: 1999 Ex: 16.287672","Age: 71 ex_fr_female$Type: Predicted Year: 2000 Ex: 16.509852","Age: 71 ex_fr_female$Type: Predicted Year: 2001 Ex: 16.649579","Age: 71 ex_fr_female$Type: Predicted Year: 2002 Ex: 16.671583","Age: 71 ex_fr_female$Type: Predicted Year: 2003 Ex: 16.510365","Age: 71 ex_fr_female$Type: Predicted Year: 2004 Ex: 17.340472","Age: 71 ex_fr_female$Type: Predicted Year: 2005 Ex: 17.205645","Age: 71 ex_fr_female$Type: Predicted Year: 2006 Ex: 17.544550","Age: 71 ex_fr_female$Type: Predicted Year: 2007 Ex: 17.656969","Age: 71 ex_fr_female$Type: Predicted Year: 2008 Ex: 17.638973","Age: 71 ex_fr_female$Type: Predicted Year: 2009 Ex: 17.739373","Age: 71 ex_fr_female$Type: Predicted Year: 2010 Ex: 17.890032","Age: 71 ex_fr_female$Type: Predicted Year: 2011 Ex: 18.167358","Age: 71 ex_fr_female$Type: Predicted Year: 2012 Ex: 17.965249","Age: 71 ex_fr_female$Type: Predicted Year: 2013 Ex: 18.145082","Age: 71 ex_fr_female$Type: Predicted Year: 2014 Ex: 18.484459","Age: 71 ex_fr_female$Type: Predicted Year: 2015 Ex: 18.188287","Age: 71 ex_fr_female$Type: Predicted Year: 2016 Ex: 18.361924","Age: 71 ex_fr_female$Type: Predicted Year: 2017 Ex: 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ex_fr_female$Type: Observed Year: 1896 Ex: 8.030000","Age: 72 ex_fr_female$Type: Observed Year: 1897 Ex: 8.140000","Age: 72 ex_fr_female$Type: Observed Year: 1898 Ex: 7.670000","Age: 72 ex_fr_female$Type: Observed Year: 1899 Ex: 7.710000","Age: 72 ex_fr_female$Type: Observed Year: 1900 Ex: 7.330000","Age: 72 ex_fr_female$Type: Observed Year: 1901 Ex: 7.830000","Age: 72 ex_fr_female$Type: Observed Year: 1902 Ex: 8.000000","Age: 72 ex_fr_female$Type: Observed Year: 1903 Ex: 7.950000","Age: 72 ex_fr_female$Type: Observed Year: 1904 Ex: 7.880000","Age: 72 ex_fr_female$Type: Observed Year: 1905 Ex: 7.780000","Age: 72 ex_fr_female$Type: Observed Year: 1906 Ex: 7.800000","Age: 72 ex_fr_female$Type: Observed Year: 1907 Ex: 7.500000","Age: 72 ex_fr_female$Type: Observed Year: 1908 Ex: 7.950000","Age: 72 ex_fr_female$Type: Observed Year: 1909 Ex: 7.610000","Age: 72 ex_fr_female$Type: Observed Year: 1910 Ex: 8.150000","Age: 72 ex_fr_female$Type: Observed Year: 1911 Ex: 7.660000","Age: 72 ex_fr_female$Type: Observed Year: 1912 Ex: 8.310000","Age: 72 ex_fr_female$Type: Observed Year: 1913 Ex: 8.270000","Age: 72 ex_fr_female$Type: Observed Year: 1914 Ex: 7.780000","Age: 72 ex_fr_female$Type: Observed Year: 1915 Ex: 7.900000","Age: 72 ex_fr_female$Type: Observed Year: 1916 Ex: 7.930000","Age: 72 ex_fr_female$Type: Observed Year: 1917 Ex: 7.740000","Age: 72 ex_fr_female$Type: Observed Year: 1918 Ex: 7.860000","Age: 72 ex_fr_female$Type: Observed Year: 1919 Ex: 7.910000","Age: 72 ex_fr_female$Type: Observed Year: 1920 Ex: 8.510000","Age: 72 ex_fr_female$Type: Observed Year: 1921 Ex: 8.440000","Age: 72 ex_fr_female$Type: Observed Year: 1922 Ex: 8.090000","Age: 72 ex_fr_female$Type: Observed Year: 1923 Ex: 8.640000","Age: 72 ex_fr_female$Type: Observed Year: 1924 Ex: 8.410000","Age: 72 ex_fr_female$Type: Observed Year: 1925 Ex: 8.300000","Age: 72 ex_fr_female$Type: Observed Year: 1926 Ex: 8.360000","Age: 72 ex_fr_female$Type: Observed Year: 1927 Ex: 8.420000","Age: 72 ex_fr_female$Type: Observed Year: 1928 Ex: 8.650000","Age: 72 ex_fr_female$Type: Observed Year: 1929 Ex: 7.950000","Age: 72 ex_fr_female$Type: Observed Year: 1930 Ex: 9.090000","Age: 72 ex_fr_female$Type: Observed Year: 1931 Ex: 8.460000","Age: 72 ex_fr_female$Type: Observed Year: 1932 Ex: 8.780000","Age: 72 ex_fr_female$Type: Observed Year: 1933 Ex: 8.740000","Age: 72 ex_fr_female$Type: Observed Year: 1934 Ex: 9.150000","Age: 72 ex_fr_female$Type: Observed Year: 1935 Ex: 8.850000","Age: 72 ex_fr_female$Type: Observed Year: 1936 Ex: 8.970000","Age: 72 ex_fr_female$Type: Observed Year: 1937 Ex: 9.210000","Age: 72 ex_fr_female$Type: Observed Year: 1938 Ex: 9.000000","Age: 72 ex_fr_female$Type: Observed Year: 1939 Ex: 8.870000","Age: 72 ex_fr_female$Type: Observed Year: 1940 Ex: 7.870000","Age: 72 ex_fr_female$Type: Observed Year: 1941 Ex: 8.660000","Age: 72 ex_fr_female$Type: Observed Year: 1942 Ex: 8.660000","Age: 72 ex_fr_female$Type: Observed Year: 1943 Ex: 8.840000","Age: 72 ex_fr_female$Type: Observed Year: 1944 Ex: 8.240000","Age: 72 ex_fr_female$Type: Observed Year: 1945 Ex: 8.880000","Age: 72 ex_fr_female$Type: Observed Year: 1946 Ex: 9.790000","Age: 72 ex_fr_female$Type: Observed Year: 1947 Ex: 9.930000","Age: 72 ex_fr_female$Type: Observed Year: 1948 Ex: 10.410000","Age: 72 ex_fr_female$Type: Observed Year: 1949 Ex: 9.460000","Age: 72 ex_fr_female$Type: Observed Year: 1950 Ex: 10.040000","Age: 72 ex_fr_female$Type: Observed Year: 1951 Ex: 9.600000","Age: 72 ex_fr_female$Type: Observed Year: 1952 Ex: 10.190000","Age: 72 ex_fr_female$Type: Observed Year: 1953 Ex: 9.690000","Age: 72 ex_fr_female$Type: Observed Year: 1954 Ex: 10.400000","Age: 72 ex_fr_female$Type: Observed Year: 1955 Ex: 10.330000","Age: 72 ex_fr_female$Type: Observed Year: 1956 Ex: 10.110000","Age: 72 ex_fr_female$Type: Observed Year: 1957 Ex: 10.450000","Age: 72 ex_fr_female$Type: Observed Year: 1958 Ex: 10.770000","Age: 72 ex_fr_female$Type: Observed Year: 1959 Ex: 10.810000","Age: 72 ex_fr_female$Type: Observed Year: 1960 Ex: 10.760000","Age: 72 ex_fr_female$Type: Observed Year: 1961 Ex: 11.210000","Age: 72 ex_fr_female$Type: Observed Year: 1962 Ex: 10.750000","Age: 72 ex_fr_female$Type: Observed Year: 1963 Ex: 10.690000","Age: 72 ex_fr_female$Type: Observed Year: 1964 Ex: 11.370000","Age: 72 ex_fr_female$Type: Observed Year: 1965 Ex: 11.160000","Age: 72 ex_fr_female$Type: Observed Year: 1966 Ex: 11.490000","Age: 72 ex_fr_female$Type: Observed Year: 1967 Ex: 11.430000","Age: 72 ex_fr_female$Type: Observed Year: 1968 Ex: 11.380000","Age: 72 ex_fr_female$Type: Observed Year: 1969 Ex: 11.320000","Age: 72 ex_fr_female$Type: Observed Year: 1970 Ex: 11.670000","Age: 72 ex_fr_female$Type: Observed Year: 1971 Ex: 11.650000","Age: 72 ex_fr_female$Type: Observed Year: 1972 Ex: 11.880000","Age: 72 ex_fr_female$Type: Observed Year: 1973 Ex: 11.780000","Age: 72 ex_fr_female$Type: Observed Year: 1974 Ex: 11.990000","Age: 72 ex_fr_female$Type: Observed Year: 1975 Ex: 12.010000","Age: 72 ex_fr_female$Type: Observed Year: 1976 Ex: 12.140000","Age: 72 ex_fr_female$Type: Observed Year: 1977 Ex: 12.570000","Age: 72 ex_fr_female$Type: Observed Year: 1978 Ex: 12.530000","Age: 72 ex_fr_female$Type: Observed Year: 1979 Ex: 12.740000","Age: 72 ex_fr_female$Type: Observed Year: 1980 Ex: 12.790000","Age: 72 ex_fr_female$Type: Observed Year: 1981 Ex: 12.750000","Age: 72 ex_fr_female$Type: Observed Year: 1982 Ex: 13.050000","Age: 72 ex_fr_female$Type: Observed Year: 1983 Ex: 12.900000","Age: 72 ex_fr_female$Type: Observed Year: 1984 Ex: 13.290000","Age: 72 ex_fr_female$Type: Observed Year: 1985 Ex: 13.260000","Age: 72 ex_fr_female$Type: Observed Year: 1986 Ex: 13.450000","Age: 72 ex_fr_female$Type: Observed Year: 1987 Ex: 13.880000","Age: 72 ex_fr_female$Type: Observed Year: 1988 Ex: 14.040000","Age: 72 ex_fr_female$Type: Observed Year: 1989 Ex: 14.130000","Age: 72 ex_fr_female$Type: Observed Year: 1990 Ex: 14.270000","Age: 72 ex_fr_female$Type: Observed Year: 1991 Ex: 14.490000","Age: 72 ex_fr_female$Type: Observed Year: 1992 Ex: 14.680000","Age: 72 ex_fr_female$Type: Observed Year: 1993 Ex: 14.680000","Age: 72 ex_fr_female$Type: Observed Year: 1994 Ex: 15.010000","Age: 72 ex_fr_female$Type: Observed Year: 1995 Ex: 14.960000","Age: 72 ex_fr_female$Type: Observed Year: 1996 Ex: 15.010000","Age: 72 ex_fr_female$Type: Observed Year: 1997 Ex: 15.140000","Age: 72 ex_fr_female$Type: Observed Year: 1998 Ex: 15.200000","Age: 72 ex_fr_female$Type: Observed Year: 1999 Ex: 15.210000","Age: 72 ex_fr_female$Type: Observed Year: 2000 Ex: 15.430000","Age: 72 ex_fr_female$Type: Observed Year: 2001 Ex: 15.570000","Age: 72 ex_fr_female$Type: Observed Year: 2002 Ex: 15.580000","Age: 72 ex_fr_female$Type: Observed Year: 2003 Ex: 15.420000","Age: 72 ex_fr_female$Type: Observed Year: 2004 Ex: 16.250000","Age: 72 ex_fr_female$Type: Observed Year: 2005 Ex: 16.120000","Age: 72 ex_fr_female$Type: Observed Year: 2006 Ex: 16.450000","Age: 72 ex_fr_female$Type: Observed Year: 2007 Ex: 16.550000","Age: 72 ex_fr_female$Type: Observed Year: 2008 Ex: 16.540000","Age: 72 ex_fr_female$Type: Observed Year: 2009 Ex: 16.630000","Age: 72 ex_fr_female$Type: Observed Year: 2010 Ex: 16.790000","Age: 72 ex_fr_female$Type: Observed Year: 2011 Ex: 17.060000","Age: 72 ex_fr_female$Type: Observed Year: 2012 Ex: 16.860000","Age: 72 ex_fr_female$Type: Observed Year: 2013 Ex: 17.040000","Age: 72 ex_fr_female$Type: Observed Year: 2014 Ex: 17.380000","Age: 72 ex_fr_female$Type: Observed Year: 2015 Ex: 17.090000","Age: 72 ex_fr_female$Type: Observed Year: 2016 Ex: 17.260000","Age: 72 ex_fr_female$Type: Observed Year: 2017 Ex: 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72 ex_fr_female$Type: Predicted Year: 1816 Ex: 7.898421","Age: 72 ex_fr_female$Type: Predicted Year: 1817 Ex: 8.103941","Age: 72 ex_fr_female$Type: Predicted Year: 1818 Ex: 8.169890","Age: 72 ex_fr_female$Type: Predicted Year: 1819 Ex: 8.292685","Age: 72 ex_fr_female$Type: Predicted Year: 1820 Ex: 7.860461","Age: 72 ex_fr_female$Type: Predicted Year: 1821 Ex: 8.544280","Age: 72 ex_fr_female$Type: Predicted Year: 1822 Ex: 8.411325","Age: 72 ex_fr_female$Type: Predicted Year: 1823 Ex: 8.399559","Age: 72 ex_fr_female$Type: Predicted Year: 1824 Ex: 8.637934","Age: 72 ex_fr_female$Type: Predicted Year: 1825 Ex: 8.523210","Age: 72 ex_fr_female$Type: Predicted Year: 1826 Ex: 8.063412","Age: 72 ex_fr_female$Type: Predicted Year: 1827 Ex: 8.438283","Age: 72 ex_fr_female$Type: Predicted Year: 1828 Ex: 8.155030","Age: 72 ex_fr_female$Type: Predicted Year: 1829 Ex: 7.845704","Age: 72 ex_fr_female$Type: Predicted Year: 1830 Ex: 7.860147","Age: 72 ex_fr_female$Type: Predicted Year: 1831 Ex: 7.974110","Age: 72 ex_fr_female$Type: Predicted Year: 1832 Ex: 7.371966","Age: 72 ex_fr_female$Type: Predicted Year: 1833 Ex: 8.244419","Age: 72 ex_fr_female$Type: Predicted Year: 1834 Ex: 7.985822","Age: 72 ex_fr_female$Type: Predicted Year: 1835 Ex: 8.246120","Age: 72 ex_fr_female$Type: Predicted Year: 1836 Ex: 8.307287","Age: 72 ex_fr_female$Type: Predicted Year: 1837 Ex: 7.216967","Age: 72 ex_fr_female$Type: Predicted Year: 1838 Ex: 8.005616","Age: 72 ex_fr_female$Type: Predicted Year: 1839 Ex: 8.427399","Age: 72 ex_fr_female$Type: Predicted Year: 1840 Ex: 7.995845","Age: 72 ex_fr_female$Type: Predicted Year: 1841 Ex: 8.367362","Age: 72 ex_fr_female$Type: Predicted Year: 1842 Ex: 7.910120","Age: 72 ex_fr_female$Type: Predicted Year: 1843 Ex: 8.096750","Age: 72 ex_fr_female$Type: Predicted Year: 1844 Ex: 8.170654","Age: 72 ex_fr_female$Type: Predicted Year: 1845 Ex: 8.334637","Age: 72 ex_fr_female$Type: Predicted Year: 1846 Ex: 8.142803","Age: 72 ex_fr_female$Type: Predicted Year: 1847 Ex: 7.539087","Age: 72 ex_fr_female$Type: Predicted Year: 1848 Ex: 7.784530","Age: 72 ex_fr_female$Type: Predicted Year: 1849 Ex: 7.586035","Age: 72 ex_fr_female$Type: Predicted Year: 1850 Ex: 8.192599","Age: 72 ex_fr_female$Type: Predicted Year: 1851 Ex: 8.016753","Age: 72 ex_fr_female$Type: Predicted Year: 1852 Ex: 8.100307","Age: 72 ex_fr_female$Type: Predicted Year: 1853 Ex: 7.796790","Age: 72 ex_fr_female$Type: Predicted Year: 1854 Ex: 7.341143","Age: 72 ex_fr_female$Type: Predicted Year: 1855 Ex: 7.386440","Age: 72 ex_fr_female$Type: Predicted Year: 1856 Ex: 8.143931","Age: 72 ex_fr_female$Type: Predicted Year: 1857 Ex: 7.900619","Age: 72 ex_fr_female$Type: Predicted Year: 1858 Ex: 7.516025","Age: 72 ex_fr_female$Type: Predicted Year: 1859 Ex: 7.705682","Age: 72 ex_fr_female$Type: Predicted Year: 1860 Ex: 8.175350","Age: 72 ex_fr_female$Type: Predicted Year: 1861 Ex: 8.149705","Age: 72 ex_fr_female$Type: Predicted Year: 1862 Ex: 8.209270","Age: 72 ex_fr_female$Type: Predicted Year: 1863 Ex: 8.097699","Age: 72 ex_fr_female$Type: Predicted Year: 1864 Ex: 7.805082","Age: 72 ex_fr_female$Type: Predicted Year: 1865 Ex: 7.688499","Age: 72 ex_fr_female$Type: Predicted Year: 1866 Ex: 7.915016","Age: 72 ex_fr_female$Type: Predicted Year: 1867 Ex: 7.899686","Age: 72 ex_fr_female$Type: Predicted Year: 1868 Ex: 7.801875","Age: 72 ex_fr_female$Type: Predicted Year: 1869 Ex: 7.884242","Age: 72 ex_fr_female$Type: Predicted Year: 1870 Ex: 7.178552","Age: 72 ex_fr_female$Type: Predicted Year: 1871 Ex: 7.080968","Age: 72 ex_fr_female$Type: Predicted Year: 1872 Ex: 8.598258","Age: 72 ex_fr_female$Type: Predicted Year: 1873 Ex: 8.085015","Age: 72 ex_fr_female$Type: Predicted Year: 1874 Ex: 8.320394","Age: 72 ex_fr_female$Type: Predicted Year: 1875 Ex: 7.882691","Age: 72 ex_fr_female$Type: Predicted Year: 1876 Ex: 8.151989","Age: 72 ex_fr_female$Type: Predicted Year: 1877 Ex: 8.356091","Age: 72 ex_fr_female$Type: Predicted Year: 1878 Ex: 7.999245","Age: 72 ex_fr_female$Type: Predicted Year: 1879 Ex: 7.848167","Age: 72 ex_fr_female$Type: Predicted Year: 1880 Ex: 8.121412","Age: 72 ex_fr_female$Type: Predicted Year: 1881 Ex: 8.516130","Age: 72 ex_fr_female$Type: Predicted Year: 1882 Ex: 8.572326","Age: 72 ex_fr_female$Type: Predicted Year: 1883 Ex: 8.510529","Age: 72 ex_fr_female$Type: Predicted Year: 1884 Ex: 8.522573","Age: 72 ex_fr_female$Type: Predicted Year: 1885 Ex: 8.529536","Age: 72 ex_fr_female$Type: Predicted Year: 1886 Ex: 8.497279","Age: 72 ex_fr_female$Type: Predicted Year: 1887 Ex: 8.514585","Age: 72 ex_fr_female$Type: Predicted Year: 1888 Ex: 8.227903","Age: 72 ex_fr_female$Type: Predicted Year: 1889 Ex: 8.535982","Age: 72 ex_fr_female$Type: Predicted Year: 1890 Ex: 7.947196","Age: 72 ex_fr_female$Type: Predicted Year: 1891 Ex: 7.617231","Age: 72 ex_fr_female$Type: Predicted Year: 1892 Ex: 7.637601","Age: 72 ex_fr_female$Type: Predicted Year: 1893 Ex: 7.722919","Age: 72 ex_fr_female$Type: Predicted Year: 1894 Ex: 8.076572","Age: 72 ex_fr_female$Type: Predicted Year: 1895 Ex: 7.698109","Age: 72 ex_fr_female$Type: Predicted Year: 1896 Ex: 8.374073","Age: 72 ex_fr_female$Type: Predicted Year: 1897 Ex: 8.489273","Age: 72 ex_fr_female$Type: Predicted Year: 1898 Ex: 8.026112","Age: 72 ex_fr_female$Type: Predicted Year: 1899 Ex: 8.056141","Age: 72 ex_fr_female$Type: Predicted Year: 1900 Ex: 7.686890","Age: 72 ex_fr_female$Type: Predicted Year: 1901 Ex: 8.178599","Age: 72 ex_fr_female$Type: Predicted Year: 1902 Ex: 8.344561","Age: 72 ex_fr_female$Type: Predicted Year: 1903 Ex: 8.299587","Age: 72 ex_fr_female$Type: Predicted Year: 1904 Ex: 8.229362","Age: 72 ex_fr_female$Type: Predicted Year: 1905 Ex: 8.129405","Age: 72 ex_fr_female$Type: Predicted Year: 1906 Ex: 8.144178","Age: 72 ex_fr_female$Type: Predicted Year: 1907 Ex: 7.851866","Age: 72 ex_fr_female$Type: Predicted Year: 1908 Ex: 8.302213","Age: 72 ex_fr_female$Type: Predicted Year: 1909 Ex: 7.964909","Age: 72 ex_fr_female$Type: Predicted Year: 1910 Ex: 8.496508","Age: 72 ex_fr_female$Type: Predicted Year: 1911 Ex: 8.004261","Age: 72 ex_fr_female$Type: Predicted Year: 1912 Ex: 8.654744","Age: 72 ex_fr_female$Type: Predicted Year: 1913 Ex: 8.618348","Age: 72 ex_fr_female$Type: Predicted Year: 1914 Ex: 8.124510","Age: 72 ex_fr_female$Type: Predicted Year: 1915 Ex: 8.248530","Age: 72 ex_fr_female$Type: Predicted Year: 1916 Ex: 8.273805","Age: 72 ex_fr_female$Type: Predicted Year: 1917 Ex: 8.085572","Age: 72 ex_fr_female$Type: Predicted Year: 1918 Ex: 8.206961","Age: 72 ex_fr_female$Type: Predicted Year: 1919 Ex: 8.251788","Age: 72 ex_fr_female$Type: Predicted Year: 1920 Ex: 8.852199","Age: 72 ex_fr_female$Type: Predicted Year: 1921 Ex: 8.773938","Age: 72 ex_fr_female$Type: Predicted Year: 1922 Ex: 8.426622","Age: 72 ex_fr_female$Type: Predicted Year: 1923 Ex: 8.977033","Age: 72 ex_fr_female$Type: Predicted Year: 1924 Ex: 8.751102","Age: 72 ex_fr_female$Type: Predicted Year: 1925 Ex: 8.635973","Age: 72 ex_fr_female$Type: Predicted Year: 1926 Ex: 8.697528","Age: 72 ex_fr_female$Type: Predicted Year: 1927 Ex: 8.756045","Age: 72 ex_fr_female$Type: Predicted Year: 1928 Ex: 8.980798","Age: 72 ex_fr_female$Type: Predicted Year: 1929 Ex: 8.286782","Age: 72 ex_fr_female$Type: Predicted Year: 1930 Ex: 9.420692","Age: 72 ex_fr_female$Type: Predicted Year: 1931 Ex: 8.793413","Age: 72 ex_fr_female$Type: Predicted Year: 1932 Ex: 9.113334","Age: 72 ex_fr_female$Type: Predicted Year: 1933 Ex: 9.067879","Age: 72 ex_fr_female$Type: Predicted Year: 1934 Ex: 9.483573","Age: 72 ex_fr_female$Type: Predicted Year: 1935 Ex: 9.186075","Age: 72 ex_fr_female$Type: Predicted Year: 1936 Ex: 9.306262","Age: 72 ex_fr_female$Type: Predicted Year: 1937 Ex: 9.536995","Age: 72 ex_fr_female$Type: Predicted Year: 1938 Ex: 9.328678","Age: 72 ex_fr_female$Type: Predicted Year: 1939 Ex: 9.197329","Age: 72 ex_fr_female$Type: Predicted Year: 1940 Ex: 8.202426","Age: 72 ex_fr_female$Type: Predicted Year: 1941 Ex: 8.991110","Age: 72 ex_fr_female$Type: Predicted Year: 1942 Ex: 8.989007","Age: 72 ex_fr_female$Type: Predicted Year: 1943 Ex: 9.167869","Age: 72 ex_fr_female$Type: Predicted Year: 1944 Ex: 8.575277","Age: 72 ex_fr_female$Type: Predicted Year: 1945 Ex: 9.208613","Age: 72 ex_fr_female$Type: Predicted Year: 1946 Ex: 10.109593","Age: 72 ex_fr_female$Type: Predicted Year: 1947 Ex: 10.256656","Age: 72 ex_fr_female$Type: Predicted Year: 1948 Ex: 10.734468","Age: 72 ex_fr_female$Type: Predicted Year: 1949 Ex: 9.780325","Age: 72 ex_fr_female$Type: Predicted Year: 1950 Ex: 10.361532","Age: 72 ex_fr_female$Type: Predicted Year: 1951 Ex: 9.923765","Age: 72 ex_fr_female$Type: Predicted Year: 1952 Ex: 10.512808","Age: 72 ex_fr_female$Type: Predicted Year: 1953 Ex: 10.012605","Age: 72 ex_fr_female$Type: Predicted Year: 1954 Ex: 10.720542","Age: 72 ex_fr_female$Type: Predicted Year: 1955 Ex: 10.643430","Age: 72 ex_fr_female$Type: Predicted Year: 1956 Ex: 10.424145","Age: 72 ex_fr_female$Type: Predicted Year: 1957 Ex: 10.763579","Age: 72 ex_fr_female$Type: Predicted Year: 1958 Ex: 11.078619","Age: 72 ex_fr_female$Type: Predicted Year: 1959 Ex: 11.117600","Age: 72 ex_fr_female$Type: Predicted Year: 1960 Ex: 11.068005","Age: 72 ex_fr_female$Type: Predicted Year: 1961 Ex: 11.517793","Age: 72 ex_fr_female$Type: Predicted Year: 1962 Ex: 11.064141","Age: 72 ex_fr_female$Type: Predicted Year: 1963 Ex: 10.999412","Age: 72 ex_fr_female$Type: Predicted Year: 1964 Ex: 11.681949","Age: 72 ex_fr_female$Type: Predicted Year: 1965 Ex: 11.468767","Age: 72 ex_fr_female$Type: Predicted Year: 1966 Ex: 11.802011","Age: 72 ex_fr_female$Type: Predicted Year: 1967 Ex: 11.737496","Age: 72 ex_fr_female$Type: Predicted Year: 1968 Ex: 11.682123","Age: 72 ex_fr_female$Type: Predicted Year: 1969 Ex: 11.626904","Age: 72 ex_fr_female$Type: Predicted Year: 1970 Ex: 11.976566","Age: 72 ex_fr_female$Type: Predicted Year: 1971 Ex: 11.956408","Age: 72 ex_fr_female$Type: Predicted Year: 1972 Ex: 12.185476","Age: 72 ex_fr_female$Type: Predicted Year: 1973 Ex: 12.088314","Age: 72 ex_fr_female$Type: Predicted Year: 1974 Ex: 12.297021","Age: 72 ex_fr_female$Type: Predicted Year: 1975 Ex: 12.313178","Age: 72 ex_fr_female$Type: Predicted Year: 1976 Ex: 12.437556","Age: 72 ex_fr_female$Type: Predicted Year: 1977 Ex: 12.870081","Age: 72 ex_fr_female$Type: Predicted Year: 1978 Ex: 12.834093","Age: 72 ex_fr_female$Type: Predicted Year: 1979 Ex: 13.042308","Age: 72 ex_fr_female$Type: Predicted Year: 1980 Ex: 13.084809","Age: 72 ex_fr_female$Type: Predicted Year: 1981 Ex: 13.049270","Age: 72 ex_fr_female$Type: Predicted Year: 1982 Ex: 13.346084","Age: 72 ex_fr_female$Type: Predicted Year: 1983 Ex: 13.200608","Age: 72 ex_fr_female$Type: Predicted Year: 1984 Ex: 13.580688","Age: 72 ex_fr_female$Type: Predicted Year: 1985 Ex: 13.557947","Age: 72 ex_fr_female$Type: Predicted Year: 1986 Ex: 13.744780","Age: 72 ex_fr_female$Type: Predicted Year: 1987 Ex: 14.174198","Age: 72 ex_fr_female$Type: Predicted Year: 1988 Ex: 14.330116","Age: 72 ex_fr_female$Type: Predicted Year: 1989 Ex: 14.421137","Age: 72 ex_fr_female$Type: Predicted Year: 1990 Ex: 14.554113","Age: 72 ex_fr_female$Type: Predicted Year: 1991 Ex: 14.782870","Age: 72 ex_fr_female$Type: Predicted Year: 1992 Ex: 14.968398","Age: 72 ex_fr_female$Type: Predicted Year: 1993 Ex: 14.967452","Age: 72 ex_fr_female$Type: Predicted Year: 1994 Ex: 15.299145","Age: 72 ex_fr_female$Type: Predicted Year: 1995 Ex: 15.240956","Age: 72 ex_fr_female$Type: Predicted Year: 1996 Ex: 15.291138","Age: 72 ex_fr_female$Type: Predicted Year: 1997 Ex: 15.428961","Age: 72 ex_fr_female$Type: Predicted Year: 1998 Ex: 15.483373","Age: 72 ex_fr_female$Type: Predicted Year: 1999 Ex: 15.495534","Age: 72 ex_fr_female$Type: Predicted Year: 2000 Ex: 15.715774","Age: 72 ex_fr_female$Type: Predicted Year: 2001 Ex: 15.855826","Age: 72 ex_fr_female$Type: Predicted Year: 2002 Ex: 15.867304","Age: 72 ex_fr_female$Type: Predicted Year: 2003 Ex: 15.703973","Age: 72 ex_fr_female$Type: Predicted Year: 2004 Ex: 16.532191","Age: 72 ex_fr_female$Type: Predicted Year: 2005 Ex: 16.396674","Age: 72 ex_fr_female$Type: Predicted Year: 2006 Ex: 16.730837","Age: 72 ex_fr_female$Type: Predicted Year: 2007 Ex: 16.831654","Age: 72 ex_fr_female$Type: Predicted Year: 2008 Ex: 16.820055","Age: 72 ex_fr_female$Type: Predicted Year: 2009 Ex: 16.911414","Age: 72 ex_fr_female$Type: Predicted Year: 2010 Ex: 17.065509","Age: 72 ex_fr_female$Type: Predicted Year: 2011 Ex: 17.335999","Age: 72 ex_fr_female$Type: Predicted Year: 2012 Ex: 17.137957","Age: 72 ex_fr_female$Type: Predicted Year: 2013 Ex: 17.317786","Age: 72 ex_fr_female$Type: Predicted Year: 2014 Ex: 17.654493","Age: 72 ex_fr_female$Type: Predicted Year: 2015 Ex: 17.364808","Age: 72 ex_fr_female$Type: Predicted Year: 2016 Ex: 17.537292","Age: 72 ex_fr_female$Type: Predicted Year: 2017 Ex: 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ex_fr_female$Type: Observed Year: 1880 Ex: 7.340000","Age: 73 ex_fr_female$Type: Observed Year: 1881 Ex: 7.720000","Age: 73 ex_fr_female$Type: Observed Year: 1882 Ex: 7.770000","Age: 73 ex_fr_female$Type: Observed Year: 1883 Ex: 7.720000","Age: 73 ex_fr_female$Type: Observed Year: 1884 Ex: 7.740000","Age: 73 ex_fr_female$Type: Observed Year: 1885 Ex: 7.760000","Age: 73 ex_fr_female$Type: Observed Year: 1886 Ex: 7.720000","Age: 73 ex_fr_female$Type: Observed Year: 1887 Ex: 7.750000","Age: 73 ex_fr_female$Type: Observed Year: 1888 Ex: 7.460000","Age: 73 ex_fr_female$Type: Observed Year: 1889 Ex: 7.760000","Age: 73 ex_fr_female$Type: Observed Year: 1890 Ex: 7.180000","Age: 73 ex_fr_female$Type: Observed Year: 1891 Ex: 6.860000","Age: 73 ex_fr_female$Type: Observed Year: 1892 Ex: 6.840000","Age: 73 ex_fr_female$Type: Observed Year: 1893 Ex: 6.940000","Age: 73 ex_fr_female$Type: Observed Year: 1894 Ex: 7.300000","Age: 73 ex_fr_female$Type: Observed Year: 1895 Ex: 6.920000","Age: 73 ex_fr_female$Type: Observed Year: 1896 Ex: 7.590000","Age: 73 ex_fr_female$Type: Observed Year: 1897 Ex: 7.710000","Age: 73 ex_fr_female$Type: Observed Year: 1898 Ex: 7.250000","Age: 73 ex_fr_female$Type: Observed Year: 1899 Ex: 7.300000","Age: 73 ex_fr_female$Type: Observed Year: 1900 Ex: 6.920000","Age: 73 ex_fr_female$Type: Observed Year: 1901 Ex: 7.390000","Age: 73 ex_fr_female$Type: Observed Year: 1902 Ex: 7.570000","Age: 73 ex_fr_female$Type: Observed Year: 1903 Ex: 7.510000","Age: 73 ex_fr_female$Type: Observed Year: 1904 Ex: 7.440000","Age: 73 ex_fr_female$Type: Observed Year: 1905 Ex: 7.360000","Age: 73 ex_fr_female$Type: Observed Year: 1906 Ex: 7.390000","Age: 73 ex_fr_female$Type: Observed Year: 1907 Ex: 7.060000","Age: 73 ex_fr_female$Type: Observed Year: 1908 Ex: 7.500000","Age: 73 ex_fr_female$Type: Observed Year: 1909 Ex: 7.180000","Age: 73 ex_fr_female$Type: Observed Year: 1910 Ex: 7.670000","Age: 73 ex_fr_female$Type: Observed Year: 1911 Ex: 7.200000","Age: 73 ex_fr_female$Type: Observed Year: 1912 Ex: 7.840000","Age: 73 ex_fr_female$Type: Observed Year: 1913 Ex: 7.790000","Age: 73 ex_fr_female$Type: Observed Year: 1914 Ex: 7.330000","Age: 73 ex_fr_female$Type: Observed Year: 1915 Ex: 7.460000","Age: 73 ex_fr_female$Type: Observed Year: 1916 Ex: 7.490000","Age: 73 ex_fr_female$Type: Observed Year: 1917 Ex: 7.270000","Age: 73 ex_fr_female$Type: Observed Year: 1918 Ex: 7.400000","Age: 73 ex_fr_female$Type: Observed Year: 1919 Ex: 7.450000","Age: 73 ex_fr_female$Type: Observed Year: 1920 Ex: 8.020000","Age: 73 ex_fr_female$Type: Observed Year: 1921 Ex: 7.960000","Age: 73 ex_fr_female$Type: Observed Year: 1922 Ex: 7.590000","Age: 73 ex_fr_female$Type: Observed Year: 1923 Ex: 8.150000","Age: 73 ex_fr_female$Type: Observed Year: 1924 Ex: 7.930000","Age: 73 ex_fr_female$Type: Observed Year: 1925 Ex: 7.820000","Age: 73 ex_fr_female$Type: Observed Year: 1926 Ex: 7.860000","Age: 73 ex_fr_female$Type: Observed Year: 1927 Ex: 7.920000","Age: 73 ex_fr_female$Type: Observed Year: 1928 Ex: 8.150000","Age: 73 ex_fr_female$Type: Observed Year: 1929 Ex: 7.460000","Age: 73 ex_fr_female$Type: Observed Year: 1930 Ex: 8.580000","Age: 73 ex_fr_female$Type: Observed Year: 1931 Ex: 7.960000","Age: 73 ex_fr_female$Type: Observed Year: 1932 Ex: 8.270000","Age: 73 ex_fr_female$Type: Observed Year: 1933 Ex: 8.210000","Age: 73 ex_fr_female$Type: Observed Year: 1934 Ex: 8.650000","Age: 73 ex_fr_female$Type: Observed Year: 1935 Ex: 8.340000","Age: 73 ex_fr_female$Type: Observed Year: 1936 Ex: 8.470000","Age: 73 ex_fr_female$Type: Observed Year: 1937 Ex: 8.680000","Age: 73 ex_fr_female$Type: Observed Year: 1938 Ex: 8.470000","Age: 73 ex_fr_female$Type: Observed Year: 1939 Ex: 8.340000","Age: 73 ex_fr_female$Type: Observed Year: 1940 Ex: 7.360000","Age: 73 ex_fr_female$Type: Observed Year: 1941 Ex: 8.130000","Age: 73 ex_fr_female$Type: Observed Year: 1942 Ex: 8.130000","Age: 73 ex_fr_female$Type: Observed Year: 1943 Ex: 8.300000","Age: 73 ex_fr_female$Type: Observed Year: 1944 Ex: 7.730000","Age: 73 ex_fr_female$Type: Observed Year: 1945 Ex: 8.350000","Age: 73 ex_fr_female$Type: Observed Year: 1946 Ex: 9.220000","Age: 73 ex_fr_female$Type: Observed Year: 1947 Ex: 9.370000","Age: 73 ex_fr_female$Type: Observed Year: 1948 Ex: 9.840000","Age: 73 ex_fr_female$Type: Observed Year: 1949 Ex: 8.890000","Age: 73 ex_fr_female$Type: Observed Year: 1950 Ex: 9.470000","Age: 73 ex_fr_female$Type: Observed Year: 1951 Ex: 9.030000","Age: 73 ex_fr_female$Type: Observed Year: 1952 Ex: 9.620000","Age: 73 ex_fr_female$Type: Observed Year: 1953 Ex: 9.110000","Age: 73 ex_fr_female$Type: Observed Year: 1954 Ex: 9.800000","Age: 73 ex_fr_female$Type: Observed Year: 1955 Ex: 9.730000","Age: 73 ex_fr_female$Type: Observed Year: 1956 Ex: 9.510000","Age: 73 ex_fr_female$Type: Observed Year: 1957 Ex: 9.850000","Age: 73 ex_fr_female$Type: Observed Year: 1958 Ex: 10.140000","Age: 73 ex_fr_female$Type: Observed Year: 1959 Ex: 10.180000","Age: 73 ex_fr_female$Type: Observed Year: 1960 Ex: 10.130000","Age: 73 ex_fr_female$Type: Observed Year: 1961 Ex: 10.580000","Age: 73 ex_fr_female$Type: Observed Year: 1962 Ex: 10.120000","Age: 73 ex_fr_female$Type: Observed Year: 1963 Ex: 10.060000","Age: 73 ex_fr_female$Type: Observed Year: 1964 Ex: 10.730000","Age: 73 ex_fr_female$Type: Observed Year: 1965 Ex: 10.520000","Age: 73 ex_fr_female$Type: Observed Year: 1966 Ex: 10.850000","Age: 73 ex_fr_female$Type: Observed Year: 1967 Ex: 10.780000","Age: 73 ex_fr_female$Type: Observed Year: 1968 Ex: 10.720000","Age: 73 ex_fr_female$Type: Observed Year: 1969 Ex: 10.690000","Age: 73 ex_fr_female$Type: Observed Year: 1970 Ex: 11.010000","Age: 73 ex_fr_female$Type: Observed Year: 1971 Ex: 10.990000","Age: 73 ex_fr_female$Type: Observed Year: 1972 Ex: 11.210000","Age: 73 ex_fr_female$Type: Observed Year: 1973 Ex: 11.120000","Age: 73 ex_fr_female$Type: Observed Year: 1974 Ex: 11.320000","Age: 73 ex_fr_female$Type: Observed Year: 1975 Ex: 11.330000","Age: 73 ex_fr_female$Type: Observed Year: 1976 Ex: 11.440000","Age: 73 ex_fr_female$Type: Observed Year: 1977 Ex: 11.870000","Age: 73 ex_fr_female$Type: Observed Year: 1978 Ex: 11.840000","Age: 73 ex_fr_female$Type: Observed Year: 1979 Ex: 12.040000","Age: 73 ex_fr_female$Type: Observed Year: 1980 Ex: 12.070000","Age: 73 ex_fr_female$Type: Observed Year: 1981 Ex: 12.030000","Age: 73 ex_fr_female$Type: Observed Year: 1982 Ex: 12.330000","Age: 73 ex_fr_female$Type: Observed Year: 1983 Ex: 12.180000","Age: 73 ex_fr_female$Type: Observed Year: 1984 Ex: 12.550000","Age: 73 ex_fr_female$Type: Observed Year: 1985 Ex: 12.520000","Age: 73 ex_fr_female$Type: Observed Year: 1986 Ex: 12.710000","Age: 73 ex_fr_female$Type: Observed Year: 1987 Ex: 13.140000","Age: 73 ex_fr_female$Type: Observed Year: 1988 Ex: 13.300000","Age: 73 ex_fr_female$Type: Observed Year: 1989 Ex: 13.370000","Age: 73 ex_fr_female$Type: Observed Year: 1990 Ex: 13.510000","Age: 73 ex_fr_female$Type: Observed Year: 1991 Ex: 13.730000","Age: 73 ex_fr_female$Type: Observed Year: 1992 Ex: 13.920000","Age: 73 ex_fr_female$Type: Observed Year: 1993 Ex: 13.910000","Age: 73 ex_fr_female$Type: Observed Year: 1994 Ex: 14.240000","Age: 73 ex_fr_female$Type: Observed Year: 1995 Ex: 14.190000","Age: 73 ex_fr_female$Type: Observed Year: 1996 Ex: 14.230000","Age: 73 ex_fr_female$Type: Observed Year: 1997 Ex: 14.370000","Age: 73 ex_fr_female$Type: Observed Year: 1998 Ex: 14.420000","Age: 73 ex_fr_female$Type: Observed Year: 1999 Ex: 14.430000","Age: 73 ex_fr_female$Type: Observed Year: 2000 Ex: 14.650000","Age: 73 ex_fr_female$Type: Observed Year: 2001 Ex: 14.780000","Age: 73 ex_fr_female$Type: Observed Year: 2002 Ex: 14.800000","Age: 73 ex_fr_female$Type: Observed Year: 2003 Ex: 14.640000","Age: 73 ex_fr_female$Type: Observed Year: 2004 Ex: 15.450000","Age: 73 ex_fr_female$Type: Observed Year: 2005 Ex: 15.310000","Age: 73 ex_fr_female$Type: Observed Year: 2006 Ex: 15.640000","Age: 73 ex_fr_female$Type: Observed Year: 2007 Ex: 15.740000","Age: 73 ex_fr_female$Type: Observed Year: 2008 Ex: 15.720000","Age: 73 ex_fr_female$Type: Observed Year: 2009 Ex: 15.820000","Age: 73 ex_fr_female$Type: Observed Year: 2010 Ex: 15.970000","Age: 73 ex_fr_female$Type: Observed Year: 2011 Ex: 16.240000","Age: 73 ex_fr_female$Type: Observed Year: 2012 Ex: 16.030000","Age: 73 ex_fr_female$Type: Observed Year: 2013 Ex: 16.230000","Age: 73 ex_fr_female$Type: Observed Year: 2014 Ex: 16.550000","Age: 73 ex_fr_female$Type: Observed Year: 2015 Ex: 16.270000","Age: 73 ex_fr_female$Type: Observed Year: 2016 Ex: 16.450000","Age: 73 ex_fr_female$Type: Observed Year: 2017 Ex: 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73 ex_fr_female$Type: Predicted Year: 1816 Ex: 7.540688","Age: 73 ex_fr_female$Type: Predicted Year: 1817 Ex: 7.739500","Age: 73 ex_fr_female$Type: Predicted Year: 1818 Ex: 7.807882","Age: 73 ex_fr_female$Type: Predicted Year: 1819 Ex: 7.906808","Age: 73 ex_fr_female$Type: Predicted Year: 1820 Ex: 7.485182","Age: 73 ex_fr_female$Type: Predicted Year: 1821 Ex: 8.147175","Age: 73 ex_fr_female$Type: Predicted Year: 1822 Ex: 8.007152","Age: 73 ex_fr_female$Type: Predicted Year: 1823 Ex: 8.009228","Age: 73 ex_fr_female$Type: Predicted Year: 1824 Ex: 8.234458","Age: 73 ex_fr_female$Type: Predicted Year: 1825 Ex: 8.118915","Age: 73 ex_fr_female$Type: Predicted Year: 1826 Ex: 7.657424","Age: 73 ex_fr_female$Type: Predicted Year: 1827 Ex: 8.047687","Age: 73 ex_fr_female$Type: Predicted Year: 1828 Ex: 7.784564","Age: 73 ex_fr_female$Type: Predicted Year: 1829 Ex: 7.480836","Age: 73 ex_fr_female$Type: Predicted Year: 1830 Ex: 7.502618","Age: 73 ex_fr_female$Type: Predicted Year: 1831 Ex: 7.586254","Age: 73 ex_fr_female$Type: Predicted Year: 1832 Ex: 7.042075","Age: 73 ex_fr_female$Type: Predicted Year: 1833 Ex: 7.869813","Age: 73 ex_fr_female$Type: Predicted Year: 1834 Ex: 7.620044","Age: 73 ex_fr_female$Type: Predicted Year: 1835 Ex: 7.855652","Age: 73 ex_fr_female$Type: Predicted Year: 1836 Ex: 7.916911","Age: 73 ex_fr_female$Type: Predicted Year: 1837 Ex: 6.883940","Age: 73 ex_fr_female$Type: Predicted Year: 1838 Ex: 7.635320","Age: 73 ex_fr_female$Type: Predicted Year: 1839 Ex: 8.036908","Age: 73 ex_fr_female$Type: Predicted Year: 1840 Ex: 7.619930","Age: 73 ex_fr_female$Type: Predicted Year: 1841 Ex: 7.985331","Age: 73 ex_fr_female$Type: Predicted Year: 1842 Ex: 7.551628","Age: 73 ex_fr_female$Type: Predicted Year: 1843 Ex: 7.710465","Age: 73 ex_fr_female$Type: Predicted Year: 1844 Ex: 7.784447","Age: 73 ex_fr_female$Type: Predicted Year: 1845 Ex: 7.935240","Age: 73 ex_fr_female$Type: Predicted Year: 1846 Ex: 7.738263","Age: 73 ex_fr_female$Type: Predicted Year: 1847 Ex: 7.150696","Age: 73 ex_fr_female$Type: Predicted Year: 1848 Ex: 7.409379","Age: 73 ex_fr_female$Type: Predicted Year: 1849 Ex: 7.240788","Age: 73 ex_fr_female$Type: Predicted Year: 1850 Ex: 7.809896","Age: 73 ex_fr_female$Type: Predicted Year: 1851 Ex: 7.624575","Age: 73 ex_fr_female$Type: Predicted Year: 1852 Ex: 7.694754","Age: 73 ex_fr_female$Type: Predicted Year: 1853 Ex: 7.392199","Age: 73 ex_fr_female$Type: Predicted Year: 1854 Ex: 6.985858","Age: 73 ex_fr_female$Type: Predicted Year: 1855 Ex: 6.997543","Age: 73 ex_fr_female$Type: Predicted Year: 1856 Ex: 7.740387","Age: 73 ex_fr_female$Type: Predicted Year: 1857 Ex: 7.527220","Age: 73 ex_fr_female$Type: Predicted Year: 1858 Ex: 7.143221","Age: 73 ex_fr_female$Type: Predicted Year: 1859 Ex: 7.316718","Age: 73 ex_fr_female$Type: Predicted Year: 1860 Ex: 7.781967","Age: 73 ex_fr_female$Type: Predicted Year: 1861 Ex: 7.746943","Age: 73 ex_fr_female$Type: Predicted Year: 1862 Ex: 7.804751","Age: 73 ex_fr_female$Type: Predicted Year: 1863 Ex: 7.721860","Age: 73 ex_fr_female$Type: Predicted Year: 1864 Ex: 7.441314","Age: 73 ex_fr_female$Type: Predicted Year: 1865 Ex: 7.305502","Age: 73 ex_fr_female$Type: Predicted Year: 1866 Ex: 7.514772","Age: 73 ex_fr_female$Type: Predicted Year: 1867 Ex: 7.483397","Age: 73 ex_fr_female$Type: Predicted Year: 1868 Ex: 7.399122","Age: 73 ex_fr_female$Type: Predicted Year: 1869 Ex: 7.492948","Age: 73 ex_fr_female$Type: Predicted Year: 1870 Ex: 6.826348","Age: 73 ex_fr_female$Type: Predicted Year: 1871 Ex: 6.733712","Age: 73 ex_fr_female$Type: Predicted Year: 1872 Ex: 8.188914","Age: 73 ex_fr_female$Type: Predicted Year: 1873 Ex: 7.683018","Age: 73 ex_fr_female$Type: Predicted Year: 1874 Ex: 7.918134","Age: 73 ex_fr_female$Type: Predicted Year: 1875 Ex: 7.472324","Age: 73 ex_fr_female$Type: Predicted Year: 1876 Ex: 7.707466","Age: 73 ex_fr_female$Type: Predicted Year: 1877 Ex: 7.902965","Age: 73 ex_fr_female$Type: Predicted Year: 1878 Ex: 7.557418","Age: 73 ex_fr_female$Type: Predicted Year: 1879 Ex: 7.425036","Age: 73 ex_fr_female$Type: Predicted Year: 1880 Ex: 7.694173","Age: 73 ex_fr_female$Type: Predicted Year: 1881 Ex: 8.074144","Age: 73 ex_fr_female$Type: Predicted Year: 1882 Ex: 8.127340","Age: 73 ex_fr_female$Type: Predicted Year: 1883 Ex: 8.066352","Age: 73 ex_fr_female$Type: Predicted Year: 1884 Ex: 8.090662","Age: 73 ex_fr_female$Type: Predicted Year: 1885 Ex: 8.110093","Age: 73 ex_fr_female$Type: Predicted Year: 1886 Ex: 8.073099","Age: 73 ex_fr_female$Type: Predicted Year: 1887 Ex: 8.101894","Age: 73 ex_fr_female$Type: Predicted Year: 1888 Ex: 7.818158","Age: 73 ex_fr_female$Type: Predicted Year: 1889 Ex: 8.112433","Age: 73 ex_fr_female$Type: Predicted Year: 1890 Ex: 7.537874","Age: 73 ex_fr_female$Type: Predicted Year: 1891 Ex: 7.226027","Age: 73 ex_fr_female$Type: Predicted Year: 1892 Ex: 7.201332","Age: 73 ex_fr_female$Type: Predicted Year: 1893 Ex: 7.300650","Age: 73 ex_fr_female$Type: Predicted Year: 1894 Ex: 7.650941","Age: 73 ex_fr_female$Type: Predicted Year: 1895 Ex: 7.279386","Age: 73 ex_fr_female$Type: Predicted Year: 1896 Ex: 7.942290","Age: 73 ex_fr_female$Type: Predicted Year: 1897 Ex: 8.060488","Age: 73 ex_fr_female$Type: Predicted Year: 1898 Ex: 7.608826","Age: 73 ex_fr_female$Type: Predicted Year: 1899 Ex: 7.653909","Age: 73 ex_fr_female$Type: Predicted Year: 1900 Ex: 7.278082","Age: 73 ex_fr_female$Type: Predicted Year: 1901 Ex: 7.739142","Age: 73 ex_fr_female$Type: Predicted Year: 1902 Ex: 7.920676","Age: 73 ex_fr_female$Type: Predicted Year: 1903 Ex: 7.867119","Age: 73 ex_fr_female$Type: Predicted Year: 1904 Ex: 7.790373","Age: 73 ex_fr_female$Type: Predicted Year: 1905 Ex: 7.713863","Age: 73 ex_fr_female$Type: Predicted Year: 1906 Ex: 7.736446","Age: 73 ex_fr_female$Type: Predicted Year: 1907 Ex: 7.419661","Age: 73 ex_fr_female$Type: Predicted Year: 1908 Ex: 7.856288","Age: 73 ex_fr_female$Type: Predicted Year: 1909 Ex: 7.532260","Age: 73 ex_fr_female$Type: Predicted Year: 1910 Ex: 8.024179","Age: 73 ex_fr_female$Type: Predicted Year: 1911 Ex: 7.552722","Age: 73 ex_fr_female$Type: Predicted Year: 1912 Ex: 8.190943","Age: 73 ex_fr_female$Type: Predicted Year: 1913 Ex: 8.141767","Age: 73 ex_fr_female$Type: Predicted Year: 1914 Ex: 7.679221","Age: 73 ex_fr_female$Type: Predicted Year: 1915 Ex: 7.812847","Age: 73 ex_fr_female$Type: Predicted Year: 1916 Ex: 7.840714","Age: 73 ex_fr_female$Type: Predicted Year: 1917 Ex: 7.621009","Age: 73 ex_fr_female$Type: Predicted Year: 1918 Ex: 7.750884","Age: 73 ex_fr_female$Type: Predicted Year: 1919 Ex: 7.793725","Age: 73 ex_fr_female$Type: Predicted Year: 1920 Ex: 8.361111","Age: 73 ex_fr_female$Type: Predicted Year: 1921 Ex: 8.305360","Age: 73 ex_fr_female$Type: Predicted Year: 1922 Ex: 7.939030","Age: 73 ex_fr_female$Type: Predicted Year: 1923 Ex: 8.488151","Age: 73 ex_fr_female$Type: Predicted Year: 1924 Ex: 8.271482","Age: 73 ex_fr_female$Type: Predicted Year: 1925 Ex: 8.157321","Age: 73 ex_fr_female$Type: Predicted Year: 1926 Ex: 8.205637","Age: 73 ex_fr_female$Type: Predicted Year: 1927 Ex: 8.263745","Age: 73 ex_fr_female$Type: Predicted Year: 1928 Ex: 8.485396","Age: 73 ex_fr_female$Type: Predicted Year: 1929 Ex: 7.806515","Age: 73 ex_fr_female$Type: Predicted Year: 1930 Ex: 8.919641","Age: 73 ex_fr_female$Type: Predicted Year: 1931 Ex: 8.304998","Age: 73 ex_fr_female$Type: Predicted Year: 1932 Ex: 8.606294","Age: 73 ex_fr_female$Type: Predicted Year: 1933 Ex: 8.548725","Age: 73 ex_fr_female$Type: Predicted Year: 1934 Ex: 8.983192","Age: 73 ex_fr_female$Type: Predicted Year: 1935 Ex: 8.674656","Age: 73 ex_fr_female$Type: Predicted Year: 1936 Ex: 8.803278","Age: 73 ex_fr_female$Type: Predicted Year: 1937 Ex: 9.017177","Age: 73 ex_fr_female$Type: Predicted Year: 1938 Ex: 8.804120","Age: 73 ex_fr_female$Type: Predicted Year: 1939 Ex: 8.677812","Age: 73 ex_fr_female$Type: Predicted Year: 1940 Ex: 7.701983","Age: 73 ex_fr_female$Type: Predicted Year: 1941 Ex: 8.467198","Age: 73 ex_fr_female$Type: Predicted Year: 1942 Ex: 8.462645","Age: 73 ex_fr_female$Type: Predicted Year: 1943 Ex: 8.632641","Age: 73 ex_fr_female$Type: Predicted Year: 1944 Ex: 8.067487","Age: 73 ex_fr_female$Type: Predicted Year: 1945 Ex: 8.685583","Age: 73 ex_fr_female$Type: Predicted Year: 1946 Ex: 9.547755","Age: 73 ex_fr_female$Type: Predicted Year: 1947 Ex: 9.694280","Age: 73 ex_fr_female$Type: Predicted Year: 1948 Ex: 10.167772","Age: 73 ex_fr_female$Type: Predicted Year: 1949 Ex: 9.218436","Age: 73 ex_fr_female$Type: Predicted Year: 1950 Ex: 9.790982","Age: 73 ex_fr_female$Type: Predicted Year: 1951 Ex: 9.358286","Age: 73 ex_fr_female$Type: Predicted Year: 1952 Ex: 9.939442","Age: 73 ex_fr_female$Type: Predicted Year: 1953 Ex: 9.433417","Age: 73 ex_fr_female$Type: Predicted Year: 1954 Ex: 10.118994","Age: 73 ex_fr_female$Type: Predicted Year: 1955 Ex: 10.048897","Age: 73 ex_fr_female$Type: Predicted Year: 1956 Ex: 9.831382","Age: 73 ex_fr_female$Type: Predicted Year: 1957 Ex: 10.171072","Age: 73 ex_fr_female$Type: Predicted Year: 1958 Ex: 10.459740","Age: 73 ex_fr_female$Type: Predicted Year: 1959 Ex: 10.501116","Age: 73 ex_fr_female$Type: Predicted Year: 1960 Ex: 10.446444","Age: 73 ex_fr_female$Type: Predicted Year: 1961 Ex: 10.891696","Age: 73 ex_fr_female$Type: Predicted Year: 1962 Ex: 10.433580","Age: 73 ex_fr_female$Type: Predicted Year: 1963 Ex: 10.378006","Age: 73 ex_fr_female$Type: Predicted Year: 1964 Ex: 11.042241","Age: 73 ex_fr_female$Type: Predicted Year: 1965 Ex: 10.836355","Age: 73 ex_fr_female$Type: Predicted Year: 1966 Ex: 11.165121","Age: 73 ex_fr_female$Type: Predicted Year: 1967 Ex: 11.095054","Age: 73 ex_fr_female$Type: Predicted Year: 1968 Ex: 11.035611","Age: 73 ex_fr_female$Type: Predicted Year: 1969 Ex: 11.003359","Age: 73 ex_fr_female$Type: Predicted Year: 1970 Ex: 11.320311","Age: 73 ex_fr_female$Type: Predicted Year: 1971 Ex: 11.299431","Age: 73 ex_fr_female$Type: Predicted Year: 1972 Ex: 11.520681","Age: 73 ex_fr_female$Type: Predicted Year: 1973 Ex: 11.428961","Age: 73 ex_fr_female$Type: Predicted Year: 1974 Ex: 11.629480","Age: 73 ex_fr_female$Type: Predicted Year: 1975 Ex: 11.640140","Age: 73 ex_fr_female$Type: Predicted Year: 1976 Ex: 11.749570","Age: 73 ex_fr_female$Type: Predicted Year: 1977 Ex: 12.176019","Age: 73 ex_fr_female$Type: Predicted Year: 1978 Ex: 12.140658","Age: 73 ex_fr_female$Type: Predicted Year: 1979 Ex: 12.338373","Age: 73 ex_fr_female$Type: Predicted Year: 1980 Ex: 12.374407","Age: 73 ex_fr_female$Type: Predicted Year: 1981 Ex: 12.329067","Age: 73 ex_fr_female$Type: Predicted Year: 1982 Ex: 12.629872","Age: 73 ex_fr_female$Type: Predicted Year: 1983 Ex: 12.475340","Age: 73 ex_fr_female$Type: Predicted Year: 1984 Ex: 12.853488","Age: 73 ex_fr_female$Type: Predicted Year: 1985 Ex: 12.822277","Age: 73 ex_fr_female$Type: Predicted Year: 1986 Ex: 13.005326","Age: 73 ex_fr_female$Type: Predicted Year: 1987 Ex: 13.431482","Age: 73 ex_fr_female$Type: Predicted Year: 1988 Ex: 13.594986","Age: 73 ex_fr_female$Type: Predicted Year: 1989 Ex: 13.665774","Age: 73 ex_fr_female$Type: Predicted Year: 1990 Ex: 13.800086","Age: 73 ex_fr_female$Type: Predicted Year: 1991 Ex: 14.019046","Age: 73 ex_fr_female$Type: Predicted Year: 1992 Ex: 14.208083","Age: 73 ex_fr_female$Type: Predicted Year: 1993 Ex: 14.199622","Age: 73 ex_fr_female$Type: Predicted Year: 1994 Ex: 14.532578","Age: 73 ex_fr_female$Type: Predicted Year: 1995 Ex: 14.474669","Age: 73 ex_fr_female$Type: Predicted Year: 1996 Ex: 14.519788","Age: 73 ex_fr_female$Type: Predicted Year: 1997 Ex: 14.653526","Age: 73 ex_fr_female$Type: Predicted Year: 1998 Ex: 14.706476","Age: 73 ex_fr_female$Type: Predicted Year: 1999 Ex: 14.715166","Age: 73 ex_fr_female$Type: Predicted Year: 2000 Ex: 14.934618","Age: 73 ex_fr_female$Type: Predicted Year: 2001 Ex: 15.066250","Age: 73 ex_fr_female$Type: Predicted Year: 2002 Ex: 15.079911","Age: 73 ex_fr_female$Type: Predicted Year: 2003 Ex: 14.919871","Age: 73 ex_fr_female$Type: Predicted Year: 2004 Ex: 15.734179","Age: 73 ex_fr_female$Type: Predicted Year: 2005 Ex: 15.590999","Age: 73 ex_fr_female$Type: Predicted Year: 2006 Ex: 15.922512","Age: 73 ex_fr_female$Type: Predicted Year: 2007 Ex: 16.024355","Age: 73 ex_fr_female$Type: Predicted Year: 2008 Ex: 16.004860","Age: 73 ex_fr_female$Type: Predicted Year: 2009 Ex: 16.098747","Age: 73 ex_fr_female$Type: Predicted Year: 2010 Ex: 16.253763","Age: 73 ex_fr_female$Type: Predicted Year: 2011 Ex: 16.516943","Age: 73 ex_fr_female$Type: Predicted Year: 2012 Ex: 16.310551","Age: 73 ex_fr_female$Type: Predicted Year: 2013 Ex: 16.507887","Age: 73 ex_fr_female$Type: Predicted Year: 2014 Ex: 16.834179","Age: 73 ex_fr_female$Type: Predicted Year: 2015 Ex: 16.546743","Age: 73 ex_fr_female$Type: Predicted Year: 2016 Ex: 16.724016","Age: 73 ex_fr_female$Type: Predicted Year: 2017 Ex: 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ex_fr_female$Type: Observed Year: 1880 Ex: 6.920000","Age: 74 ex_fr_female$Type: Observed Year: 1881 Ex: 7.290000","Age: 74 ex_fr_female$Type: Observed Year: 1882 Ex: 7.340000","Age: 74 ex_fr_female$Type: Observed Year: 1883 Ex: 7.280000","Age: 74 ex_fr_female$Type: Observed Year: 1884 Ex: 7.300000","Age: 74 ex_fr_female$Type: Observed Year: 1885 Ex: 7.350000","Age: 74 ex_fr_female$Type: Observed Year: 1886 Ex: 7.310000","Age: 74 ex_fr_female$Type: Observed Year: 1887 Ex: 7.360000","Age: 74 ex_fr_female$Type: Observed Year: 1888 Ex: 7.070000","Age: 74 ex_fr_female$Type: Observed Year: 1889 Ex: 7.340000","Age: 74 ex_fr_female$Type: Observed Year: 1890 Ex: 6.780000","Age: 74 ex_fr_female$Type: Observed Year: 1891 Ex: 6.490000","Age: 74 ex_fr_female$Type: Observed Year: 1892 Ex: 6.440000","Age: 74 ex_fr_female$Type: Observed Year: 1893 Ex: 6.530000","Age: 74 ex_fr_female$Type: Observed Year: 1894 Ex: 6.880000","Age: 74 ex_fr_female$Type: Observed Year: 1895 Ex: 6.520000","Age: 74 ex_fr_female$Type: Observed Year: 1896 Ex: 7.180000","Age: 74 ex_fr_female$Type: Observed Year: 1897 Ex: 7.280000","Age: 74 ex_fr_female$Type: Observed Year: 1898 Ex: 6.810000","Age: 74 ex_fr_female$Type: Observed Year: 1899 Ex: 6.860000","Age: 74 ex_fr_female$Type: Observed Year: 1900 Ex: 6.510000","Age: 74 ex_fr_female$Type: Observed Year: 1901 Ex: 6.950000","Age: 74 ex_fr_female$Type: Observed Year: 1902 Ex: 7.130000","Age: 74 ex_fr_female$Type: Observed Year: 1903 Ex: 7.070000","Age: 74 ex_fr_female$Type: Observed Year: 1904 Ex: 7.000000","Age: 74 ex_fr_female$Type: Observed Year: 1905 Ex: 6.930000","Age: 74 ex_fr_female$Type: Observed Year: 1906 Ex: 6.960000","Age: 74 ex_fr_female$Type: Observed Year: 1907 Ex: 6.660000","Age: 74 ex_fr_female$Type: Observed Year: 1908 Ex: 7.070000","Age: 74 ex_fr_female$Type: Observed Year: 1909 Ex: 6.740000","Age: 74 ex_fr_female$Type: Observed Year: 1910 Ex: 7.230000","Age: 74 ex_fr_female$Type: Observed Year: 1911 Ex: 6.750000","Age: 74 ex_fr_female$Type: Observed Year: 1912 Ex: 7.400000","Age: 74 ex_fr_female$Type: Observed Year: 1913 Ex: 7.320000","Age: 74 ex_fr_female$Type: Observed Year: 1914 Ex: 6.880000","Age: 74 ex_fr_female$Type: Observed Year: 1915 Ex: 7.020000","Age: 74 ex_fr_female$Type: Observed Year: 1916 Ex: 7.050000","Age: 74 ex_fr_female$Type: Observed Year: 1917 Ex: 6.840000","Age: 74 ex_fr_female$Type: Observed Year: 1918 Ex: 6.960000","Age: 74 ex_fr_female$Type: Observed Year: 1919 Ex: 6.990000","Age: 74 ex_fr_female$Type: Observed Year: 1920 Ex: 7.560000","Age: 74 ex_fr_female$Type: Observed Year: 1921 Ex: 7.480000","Age: 74 ex_fr_female$Type: Observed Year: 1922 Ex: 7.140000","Age: 74 ex_fr_female$Type: Observed Year: 1923 Ex: 7.650000","Age: 74 ex_fr_female$Type: Observed Year: 1924 Ex: 7.460000","Age: 74 ex_fr_female$Type: Observed Year: 1925 Ex: 7.330000","Age: 74 ex_fr_female$Type: Observed Year: 1926 Ex: 7.390000","Age: 74 ex_fr_female$Type: Observed Year: 1927 Ex: 7.430000","Age: 74 ex_fr_female$Type: Observed Year: 1928 Ex: 7.660000","Age: 74 ex_fr_female$Type: Observed Year: 1929 Ex: 7.000000","Age: 74 ex_fr_female$Type: Observed Year: 1930 Ex: 8.100000","Age: 74 ex_fr_female$Type: Observed Year: 1931 Ex: 7.480000","Age: 74 ex_fr_female$Type: Observed Year: 1932 Ex: 7.780000","Age: 74 ex_fr_female$Type: Observed Year: 1933 Ex: 7.720000","Age: 74 ex_fr_female$Type: Observed Year: 1934 Ex: 8.130000","Age: 74 ex_fr_female$Type: Observed Year: 1935 Ex: 7.850000","Age: 74 ex_fr_female$Type: Observed Year: 1936 Ex: 7.980000","Age: 74 ex_fr_female$Type: Observed Year: 1937 Ex: 8.190000","Age: 74 ex_fr_female$Type: Observed Year: 1938 Ex: 7.970000","Age: 74 ex_fr_female$Type: Observed Year: 1939 Ex: 7.840000","Age: 74 ex_fr_female$Type: Observed Year: 1940 Ex: 6.890000","Age: 74 ex_fr_female$Type: Observed Year: 1941 Ex: 7.620000","Age: 74 ex_fr_female$Type: Observed Year: 1942 Ex: 7.610000","Age: 74 ex_fr_female$Type: Observed Year: 1943 Ex: 7.780000","Age: 74 ex_fr_female$Type: Observed Year: 1944 Ex: 7.230000","Age: 74 ex_fr_female$Type: Observed Year: 1945 Ex: 7.830000","Age: 74 ex_fr_female$Type: Observed Year: 1946 Ex: 8.670000","Age: 74 ex_fr_female$Type: Observed Year: 1947 Ex: 8.820000","Age: 74 ex_fr_female$Type: Observed Year: 1948 Ex: 9.290000","Age: 74 ex_fr_female$Type: Observed Year: 1949 Ex: 8.360000","Age: 74 ex_fr_female$Type: Observed Year: 1950 Ex: 8.910000","Age: 74 ex_fr_female$Type: Observed Year: 1951 Ex: 8.480000","Age: 74 ex_fr_female$Type: Observed Year: 1952 Ex: 9.060000","Age: 74 ex_fr_female$Type: Observed Year: 1953 Ex: 8.550000","Age: 74 ex_fr_female$Type: Observed Year: 1954 Ex: 9.210000","Age: 74 ex_fr_female$Type: Observed Year: 1955 Ex: 9.150000","Age: 74 ex_fr_female$Type: Observed Year: 1956 Ex: 8.920000","Age: 74 ex_fr_female$Type: Observed Year: 1957 Ex: 9.270000","Age: 74 ex_fr_female$Type: Observed Year: 1958 Ex: 9.540000","Age: 74 ex_fr_female$Type: Observed Year: 1959 Ex: 9.580000","Age: 74 ex_fr_female$Type: Observed Year: 1960 Ex: 9.530000","Age: 74 ex_fr_female$Type: Observed Year: 1961 Ex: 9.970000","Age: 74 ex_fr_female$Type: Observed Year: 1962 Ex: 9.500000","Age: 74 ex_fr_female$Type: Observed Year: 1963 Ex: 9.450000","Age: 74 ex_fr_female$Type: Observed Year: 1964 Ex: 10.100000","Age: 74 ex_fr_female$Type: Observed Year: 1965 Ex: 9.910000","Age: 74 ex_fr_female$Type: Observed Year: 1966 Ex: 10.230000","Age: 74 ex_fr_female$Type: Observed Year: 1967 Ex: 10.160000","Age: 74 ex_fr_female$Type: Observed Year: 1968 Ex: 10.100000","Age: 74 ex_fr_female$Type: Observed Year: 1969 Ex: 10.080000","Age: 74 ex_fr_female$Type: Observed Year: 1970 Ex: 10.380000","Age: 74 ex_fr_female$Type: Observed Year: 1971 Ex: 10.350000","Age: 74 ex_fr_female$Type: Observed Year: 1972 Ex: 10.570000","Age: 74 ex_fr_female$Type: Observed Year: 1973 Ex: 10.470000","Age: 74 ex_fr_female$Type: Observed Year: 1974 Ex: 10.670000","Age: 74 ex_fr_female$Type: Observed Year: 1975 Ex: 10.670000","Age: 74 ex_fr_female$Type: Observed Year: 1976 Ex: 10.780000","Age: 74 ex_fr_female$Type: Observed Year: 1977 Ex: 11.200000","Age: 74 ex_fr_female$Type: Observed Year: 1978 Ex: 11.160000","Age: 74 ex_fr_female$Type: Observed Year: 1979 Ex: 11.350000","Age: 74 ex_fr_female$Type: Observed Year: 1980 Ex: 11.380000","Age: 74 ex_fr_female$Type: Observed Year: 1981 Ex: 11.330000","Age: 74 ex_fr_female$Type: Observed Year: 1982 Ex: 11.630000","Age: 74 ex_fr_female$Type: Observed Year: 1983 Ex: 11.470000","Age: 74 ex_fr_female$Type: Observed Year: 1984 Ex: 11.840000","Age: 74 ex_fr_female$Type: Observed Year: 1985 Ex: 11.810000","Age: 74 ex_fr_female$Type: Observed Year: 1986 Ex: 11.990000","Age: 74 ex_fr_female$Type: Observed Year: 1987 Ex: 12.400000","Age: 74 ex_fr_female$Type: Observed Year: 1988 Ex: 12.560000","Age: 74 ex_fr_female$Type: Observed Year: 1989 Ex: 12.630000","Age: 74 ex_fr_female$Type: Observed Year: 1990 Ex: 12.770000","Age: 74 ex_fr_female$Type: Observed Year: 1991 Ex: 12.980000","Age: 74 ex_fr_female$Type: Observed Year: 1992 Ex: 13.170000","Age: 74 ex_fr_female$Type: Observed Year: 1993 Ex: 13.150000","Age: 74 ex_fr_female$Type: Observed Year: 1994 Ex: 13.490000","Age: 74 ex_fr_female$Type: Observed Year: 1995 Ex: 13.430000","Age: 74 ex_fr_female$Type: Observed Year: 1996 Ex: 13.480000","Age: 74 ex_fr_female$Type: Observed Year: 1997 Ex: 13.600000","Age: 74 ex_fr_female$Type: Observed Year: 1998 Ex: 13.660000","Age: 74 ex_fr_female$Type: Observed Year: 1999 Ex: 13.660000","Age: 74 ex_fr_female$Type: Observed Year: 2000 Ex: 13.870000","Age: 74 ex_fr_female$Type: Observed Year: 2001 Ex: 14.010000","Age: 74 ex_fr_female$Type: Observed Year: 2002 Ex: 14.010000","Age: 74 ex_fr_female$Type: Observed Year: 2003 Ex: 13.850000","Age: 74 ex_fr_female$Type: Observed Year: 2004 Ex: 14.660000","Age: 74 ex_fr_female$Type: Observed Year: 2005 Ex: 14.510000","Age: 74 ex_fr_female$Type: Observed Year: 2006 Ex: 14.840000","Age: 74 ex_fr_female$Type: Observed Year: 2007 Ex: 14.940000","Age: 74 ex_fr_female$Type: Observed Year: 2008 Ex: 14.920000","Age: 74 ex_fr_female$Type: Observed Year: 2009 Ex: 15.010000","Age: 74 ex_fr_female$Type: Observed Year: 2010 Ex: 15.160000","Age: 74 ex_fr_female$Type: Observed Year: 2011 Ex: 15.430000","Age: 74 ex_fr_female$Type: Observed Year: 2012 Ex: 15.220000","Age: 74 ex_fr_female$Type: Observed Year: 2013 Ex: 15.420000","Age: 74 ex_fr_female$Type: Observed Year: 2014 Ex: 15.740000","Age: 74 ex_fr_female$Type: Observed Year: 2015 Ex: 15.460000","Age: 74 ex_fr_female$Type: Observed Year: 2016 Ex: 15.630000","Age: 74 ex_fr_female$Type: Observed Year: 2017 Ex: 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74 ex_fr_female$Type: Predicted Year: 1816 Ex: 7.208997","Age: 74 ex_fr_female$Type: Predicted Year: 1817 Ex: 7.393472","Age: 74 ex_fr_female$Type: Predicted Year: 1818 Ex: 7.468430","Age: 74 ex_fr_female$Type: Predicted Year: 1819 Ex: 7.540696","Age: 74 ex_fr_female$Type: Predicted Year: 1820 Ex: 7.127558","Age: 74 ex_fr_female$Type: Predicted Year: 1821 Ex: 7.768772","Age: 74 ex_fr_female$Type: Predicted Year: 1822 Ex: 7.620945","Age: 74 ex_fr_female$Type: Predicted Year: 1823 Ex: 7.643801","Age: 74 ex_fr_female$Type: Predicted Year: 1824 Ex: 7.851599","Age: 74 ex_fr_female$Type: Predicted Year: 1825 Ex: 7.730298","Age: 74 ex_fr_female$Type: Predicted Year: 1826 Ex: 7.267946","Age: 74 ex_fr_female$Type: Predicted Year: 1827 Ex: 7.669048","Age: 74 ex_fr_female$Type: Predicted Year: 1828 Ex: 7.421707","Age: 74 ex_fr_female$Type: Predicted Year: 1829 Ex: 7.125410","Age: 74 ex_fr_female$Type: Predicted Year: 1830 Ex: 7.165546","Age: 74 ex_fr_female$Type: Predicted Year: 1831 Ex: 7.216945","Age: 74 ex_fr_female$Type: Predicted Year: 1832 Ex: 6.725497","Age: 74 ex_fr_female$Type: Predicted Year: 1833 Ex: 7.519471","Age: 74 ex_fr_female$Type: Predicted Year: 1834 Ex: 7.275290","Age: 74 ex_fr_female$Type: Predicted Year: 1835 Ex: 7.477248","Age: 74 ex_fr_female$Type: Predicted Year: 1836 Ex: 7.542153","Age: 74 ex_fr_female$Type: Predicted Year: 1837 Ex: 6.569955","Age: 74 ex_fr_female$Type: Predicted Year: 1838 Ex: 7.295017","Age: 74 ex_fr_female$Type: Predicted Year: 1839 Ex: 7.671693","Age: 74 ex_fr_female$Type: Predicted Year: 1840 Ex: 7.253540","Age: 74 ex_fr_female$Type: Predicted Year: 1841 Ex: 7.613577","Age: 74 ex_fr_female$Type: Predicted Year: 1842 Ex: 7.205131","Age: 74 ex_fr_female$Type: Predicted Year: 1843 Ex: 7.342305","Age: 74 ex_fr_female$Type: Predicted Year: 1844 Ex: 7.418882","Age: 74 ex_fr_female$Type: Predicted Year: 1845 Ex: 7.558152","Age: 74 ex_fr_female$Type: Predicted Year: 1846 Ex: 7.362057","Age: 74 ex_fr_female$Type: Predicted Year: 1847 Ex: 6.790967","Age: 74 ex_fr_female$Type: Predicted Year: 1848 Ex: 7.043802","Age: 74 ex_fr_female$Type: Predicted Year: 1849 Ex: 6.898105","Age: 74 ex_fr_female$Type: Predicted Year: 1850 Ex: 7.450688","Age: 74 ex_fr_female$Type: Predicted Year: 1851 Ex: 7.254014","Age: 74 ex_fr_female$Type: Predicted Year: 1852 Ex: 7.307756","Age: 74 ex_fr_female$Type: Predicted Year: 1853 Ex: 7.010582","Age: 74 ex_fr_female$Type: Predicted Year: 1854 Ex: 6.648917","Age: 74 ex_fr_female$Type: Predicted Year: 1855 Ex: 6.620287","Age: 74 ex_fr_female$Type: Predicted Year: 1856 Ex: 7.349254","Age: 74 ex_fr_female$Type: Predicted Year: 1857 Ex: 7.169926","Age: 74 ex_fr_female$Type: Predicted Year: 1858 Ex: 6.800529","Age: 74 ex_fr_female$Type: Predicted Year: 1859 Ex: 6.947406","Age: 74 ex_fr_female$Type: Predicted Year: 1860 Ex: 7.396783","Age: 74 ex_fr_female$Type: Predicted Year: 1861 Ex: 7.357699","Age: 74 ex_fr_female$Type: Predicted Year: 1862 Ex: 7.415700","Age: 74 ex_fr_female$Type: Predicted Year: 1863 Ex: 7.353676","Age: 74 ex_fr_female$Type: Predicted Year: 1864 Ex: 7.093262","Age: 74 ex_fr_female$Type: Predicted Year: 1865 Ex: 6.957687","Age: 74 ex_fr_female$Type: Predicted Year: 1866 Ex: 7.147600","Age: 74 ex_fr_female$Type: Predicted Year: 1867 Ex: 7.097699","Age: 74 ex_fr_female$Type: Predicted Year: 1868 Ex: 7.002552","Age: 74 ex_fr_female$Type: Predicted Year: 1869 Ex: 7.102985","Age: 74 ex_fr_female$Type: Predicted Year: 1870 Ex: 6.498662","Age: 74 ex_fr_female$Type: Predicted Year: 1871 Ex: 6.408914","Age: 74 ex_fr_female$Type: Predicted Year: 1872 Ex: 7.797102","Age: 74 ex_fr_female$Type: Predicted Year: 1873 Ex: 7.294318","Age: 74 ex_fr_female$Type: Predicted Year: 1874 Ex: 7.533817","Age: 74 ex_fr_female$Type: Predicted Year: 1875 Ex: 7.086715","Age: 74 ex_fr_female$Type: Predicted Year: 1876 Ex: 7.289108","Age: 74 ex_fr_female$Type: Predicted Year: 1877 Ex: 7.476623","Age: 74 ex_fr_female$Type: Predicted Year: 1878 Ex: 7.135893","Age: 74 ex_fr_female$Type: Predicted Year: 1879 Ex: 7.015661","Age: 74 ex_fr_female$Type: Predicted Year: 1880 Ex: 7.281520","Age: 74 ex_fr_female$Type: Predicted Year: 1881 Ex: 7.650613","Age: 74 ex_fr_female$Type: Predicted Year: 1882 Ex: 7.700711","Age: 74 ex_fr_female$Type: Predicted Year: 1883 Ex: 7.628950","Age: 74 ex_fr_female$Type: Predicted Year: 1884 Ex: 7.659315","Age: 74 ex_fr_female$Type: Predicted Year: 1885 Ex: 7.699309","Age: 74 ex_fr_female$Type: Predicted Year: 1886 Ex: 7.667708","Age: 74 ex_fr_female$Type: Predicted Year: 1887 Ex: 7.710349","Age: 74 ex_fr_female$Type: Predicted Year: 1888 Ex: 7.425067","Age: 74 ex_fr_female$Type: Predicted Year: 1889 Ex: 7.702570","Age: 74 ex_fr_female$Type: Predicted Year: 1890 Ex: 7.143250","Age: 74 ex_fr_female$Type: Predicted Year: 1891 Ex: 6.860262","Age: 74 ex_fr_female$Type: Predicted Year: 1892 Ex: 6.803908","Age: 74 ex_fr_female$Type: Predicted Year: 1893 Ex: 6.900729","Age: 74 ex_fr_female$Type: Predicted Year: 1894 Ex: 7.237315","Age: 74 ex_fr_female$Type: Predicted Year: 1895 Ex: 6.879141","Age: 74 ex_fr_female$Type: Predicted Year: 1896 Ex: 7.537970","Age: 74 ex_fr_female$Type: Predicted Year: 1897 Ex: 7.642520","Age: 74 ex_fr_female$Type: Predicted Year: 1898 Ex: 7.170745","Age: 74 ex_fr_female$Type: Predicted Year: 1899 Ex: 7.215759","Age: 74 ex_fr_female$Type: Predicted Year: 1900 Ex: 6.875874","Age: 74 ex_fr_female$Type: Predicted Year: 1901 Ex: 7.312927","Age: 74 ex_fr_female$Type: Predicted Year: 1902 Ex: 7.483866","Age: 74 ex_fr_female$Type: Predicted Year: 1903 Ex: 7.427276","Age: 74 ex_fr_female$Type: Predicted Year: 1904 Ex: 7.354678","Age: 74 ex_fr_female$Type: Predicted Year: 1905 Ex: 7.283150","Age: 74 ex_fr_female$Type: Predicted Year: 1906 Ex: 7.317060","Age: 74 ex_fr_female$Type: Predicted Year: 1907 Ex: 7.024812","Age: 74 ex_fr_female$Type: Predicted Year: 1908 Ex: 7.427520","Age: 74 ex_fr_female$Type: Predicted Year: 1909 Ex: 7.098241","Age: 74 ex_fr_female$Type: Predicted Year: 1910 Ex: 7.584613","Age: 74 ex_fr_female$Type: Predicted Year: 1911 Ex: 7.113103","Age: 74 ex_fr_female$Type: Predicted Year: 1912 Ex: 7.754618","Age: 74 ex_fr_female$Type: Predicted Year: 1913 Ex: 7.680925","Age: 74 ex_fr_female$Type: Predicted Year: 1914 Ex: 7.232134","Age: 74 ex_fr_female$Type: Predicted Year: 1915 Ex: 7.380627","Age: 74 ex_fr_female$Type: Predicted Year: 1916 Ex: 7.405352","Age: 74 ex_fr_female$Type: Predicted Year: 1917 Ex: 7.196830","Age: 74 ex_fr_female$Type: Predicted Year: 1918 Ex: 7.312288","Age: 74 ex_fr_female$Type: Predicted Year: 1919 Ex: 7.344530","Age: 74 ex_fr_female$Type: Predicted Year: 1920 Ex: 7.905977","Age: 74 ex_fr_female$Type: Predicted Year: 1921 Ex: 7.826166","Age: 74 ex_fr_female$Type: Predicted Year: 1922 Ex: 7.490401","Age: 74 ex_fr_female$Type: Predicted Year: 1923 Ex: 8.002239","Age: 74 ex_fr_female$Type: Predicted Year: 1924 Ex: 7.810302","Age: 74 ex_fr_female$Type: Predicted Year: 1925 Ex: 7.677004","Age: 74 ex_fr_female$Type: Predicted Year: 1926 Ex: 7.737583","Age: 74 ex_fr_female$Type: Predicted Year: 1927 Ex: 7.778791","Age: 74 ex_fr_female$Type: Predicted Year: 1928 Ex: 8.001349","Age: 74 ex_fr_female$Type: Predicted Year: 1929 Ex: 7.345393","Age: 74 ex_fr_female$Type: Predicted Year: 1930 Ex: 8.441070","Age: 74 ex_fr_female$Type: Predicted Year: 1931 Ex: 7.826613","Age: 74 ex_fr_female$Type: Predicted Year: 1932 Ex: 8.126171","Age: 74 ex_fr_female$Type: Predicted Year: 1933 Ex: 8.061482","Age: 74 ex_fr_female$Type: Predicted Year: 1934 Ex: 8.470948","Age: 74 ex_fr_female$Type: Predicted Year: 1935 Ex: 8.194565","Age: 74 ex_fr_female$Type: Predicted Year: 1936 Ex: 8.322356","Age: 74 ex_fr_female$Type: Predicted Year: 1937 Ex: 8.533518","Age: 74 ex_fr_female$Type: Predicted Year: 1938 Ex: 8.312748","Age: 74 ex_fr_female$Type: Predicted Year: 1939 Ex: 8.177140","Age: 74 ex_fr_female$Type: Predicted Year: 1940 Ex: 7.231448","Age: 74 ex_fr_female$Type: Predicted Year: 1941 Ex: 7.959676","Age: 74 ex_fr_female$Type: Predicted Year: 1942 Ex: 7.949934","Age: 74 ex_fr_female$Type: Predicted Year: 1943 Ex: 8.116610","Age: 74 ex_fr_female$Type: Predicted Year: 1944 Ex: 7.570886","Age: 74 ex_fr_female$Type: Predicted Year: 1945 Ex: 8.172269","Age: 74 ex_fr_female$Type: Predicted Year: 1946 Ex: 9.007556","Age: 74 ex_fr_female$Type: Predicted Year: 1947 Ex: 9.154569","Age: 74 ex_fr_female$Type: Predicted Year: 1948 Ex: 9.617592","Age: 74 ex_fr_female$Type: Predicted Year: 1949 Ex: 8.689596","Age: 74 ex_fr_female$Type: Predicted Year: 1950 Ex: 9.238362","Age: 74 ex_fr_female$Type: Predicted Year: 1951 Ex: 8.812837","Age: 74 ex_fr_female$Type: Predicted Year: 1952 Ex: 9.384274","Age: 74 ex_fr_female$Type: Predicted Year: 1953 Ex: 8.881585","Age: 74 ex_fr_female$Type: Predicted Year: 1954 Ex: 9.538384","Age: 74 ex_fr_female$Type: Predicted Year: 1955 Ex: 9.472112","Age: 74 ex_fr_female$Type: Predicted Year: 1956 Ex: 9.246615","Age: 74 ex_fr_female$Type: Predicted Year: 1957 Ex: 9.593844","Age: 74 ex_fr_female$Type: Predicted Year: 1958 Ex: 9.857656","Age: 74 ex_fr_female$Type: Predicted Year: 1959 Ex: 9.904015","Age: 74 ex_fr_female$Type: Predicted Year: 1960 Ex: 9.846312","Age: 74 ex_fr_female$Type: Predicted Year: 1961 Ex: 10.288183","Age: 74 ex_fr_female$Type: Predicted Year: 1962 Ex: 9.823736","Age: 74 ex_fr_female$Type: Predicted Year: 1963 Ex: 9.775020","Age: 74 ex_fr_female$Type: Predicted Year: 1964 Ex: 10.420195","Age: 74 ex_fr_female$Type: Predicted Year: 1965 Ex: 10.228048","Age: 74 ex_fr_female$Type: Predicted Year: 1966 Ex: 10.546927","Age: 74 ex_fr_female$Type: Predicted Year: 1967 Ex: 10.473364","Age: 74 ex_fr_female$Type: Predicted Year: 1968 Ex: 10.417694","Age: 74 ex_fr_female$Type: Predicted Year: 1969 Ex: 10.397455","Age: 74 ex_fr_female$Type: Predicted Year: 1970 Ex: 10.694340","Age: 74 ex_fr_female$Type: Predicted Year: 1971 Ex: 10.662350","Age: 74 ex_fr_female$Type: Predicted Year: 1972 Ex: 10.883175","Age: 74 ex_fr_female$Type: Predicted Year: 1973 Ex: 10.782794","Age: 74 ex_fr_female$Type: Predicted Year: 1974 Ex: 10.978088","Age: 74 ex_fr_female$Type: Predicted Year: 1975 Ex: 10.981271","Age: 74 ex_fr_female$Type: Predicted Year: 1976 Ex: 11.089994","Age: 74 ex_fr_female$Type: Predicted Year: 1977 Ex: 11.508431","Age: 74 ex_fr_female$Type: Predicted Year: 1978 Ex: 11.465359","Age: 74 ex_fr_female$Type: Predicted Year: 1979 Ex: 11.655452","Age: 74 ex_fr_female$Type: Predicted Year: 1980 Ex: 11.686843","Age: 74 ex_fr_female$Type: Predicted Year: 1981 Ex: 11.636788","Age: 74 ex_fr_female$Type: Predicted Year: 1982 Ex: 11.931610","Age: 74 ex_fr_female$Type: Predicted Year: 1983 Ex: 11.773848","Age: 74 ex_fr_female$Type: Predicted Year: 1984 Ex: 12.143073","Age: 74 ex_fr_female$Type: Predicted Year: 1985 Ex: 12.109996","Age: 74 ex_fr_female$Type: Predicted Year: 1986 Ex: 12.287595","Age: 74 ex_fr_female$Type: Predicted Year: 1987 Ex: 12.703020","Age: 74 ex_fr_female$Type: Predicted Year: 1988 Ex: 12.860600","Age: 74 ex_fr_female$Type: Predicted Year: 1989 Ex: 12.926914","Age: 74 ex_fr_female$Type: Predicted Year: 1990 Ex: 13.063212","Age: 74 ex_fr_female$Type: Predicted Year: 1991 Ex: 13.276856","Age: 74 ex_fr_female$Type: Predicted Year: 1992 Ex: 13.461118","Age: 74 ex_fr_female$Type: Predicted Year: 1993 Ex: 13.441900","Age: 74 ex_fr_female$Type: Predicted Year: 1994 Ex: 13.778460","Age: 74 ex_fr_female$Type: Predicted Year: 1995 Ex: 13.719678","Age: 74 ex_fr_female$Type: Predicted Year: 1996 Ex: 13.769297","Age: 74 ex_fr_female$Type: Predicted Year: 1997 Ex: 13.892168","Age: 74 ex_fr_female$Type: Predicted Year: 1998 Ex: 13.946733","Age: 74 ex_fr_female$Type: Predicted Year: 1999 Ex: 13.949066","Age: 74 ex_fr_female$Type: Predicted Year: 2000 Ex: 14.161275","Age: 74 ex_fr_female$Type: Predicted Year: 2001 Ex: 14.295862","Age: 74 ex_fr_female$Type: Predicted Year: 2002 Ex: 14.299819","Age: 74 ex_fr_female$Type: Predicted Year: 2003 Ex: 14.140585","Age: 74 ex_fr_female$Type: Predicted Year: 2004 Ex: 14.945716","Age: 74 ex_fr_female$Type: Predicted Year: 2005 Ex: 14.795806","Age: 74 ex_fr_female$Type: Predicted Year: 2006 Ex: 15.127754","Age: 74 ex_fr_female$Type: Predicted Year: 2007 Ex: 15.225290","Age: 74 ex_fr_female$Type: Predicted Year: 2008 Ex: 15.208213","Age: 74 ex_fr_female$Type: Predicted Year: 2009 Ex: 15.297959","Age: 74 ex_fr_female$Type: Predicted Year: 2010 Ex: 15.444747","Age: 74 ex_fr_female$Type: Predicted Year: 2011 Ex: 15.717117","Age: 74 ex_fr_female$Type: Predicted Year: 2012 Ex: 15.503664","Age: 74 ex_fr_female$Type: Predicted Year: 2013 Ex: 15.702923","Age: 74 ex_fr_female$Type: Predicted Year: 2014 Ex: 16.022117","Age: 74 ex_fr_female$Type: Predicted Year: 2015 Ex: 15.739167","Age: 74 ex_fr_female$Type: Predicted Year: 2016 Ex: 15.912492","Age: 74 ex_fr_female$Type: Predicted Year: 2017 Ex: 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ex_fr_female$Type: Observed Year: 1832 Ex: 6.020000","Age: 75 ex_fr_female$Type: Observed Year: 1833 Ex: 6.790000","Age: 75 ex_fr_female$Type: Observed Year: 1834 Ex: 6.560000","Age: 75 ex_fr_female$Type: Observed Year: 1835 Ex: 6.730000","Age: 75 ex_fr_female$Type: Observed Year: 1836 Ex: 6.800000","Age: 75 ex_fr_female$Type: Observed Year: 1837 Ex: 5.870000","Age: 75 ex_fr_female$Type: Observed Year: 1838 Ex: 6.580000","Age: 75 ex_fr_female$Type: Observed Year: 1839 Ex: 6.940000","Age: 75 ex_fr_female$Type: Observed Year: 1840 Ex: 6.520000","Age: 75 ex_fr_female$Type: Observed Year: 1841 Ex: 6.860000","Age: 75 ex_fr_female$Type: Observed Year: 1842 Ex: 6.480000","Age: 75 ex_fr_female$Type: Observed Year: 1843 Ex: 6.600000","Age: 75 ex_fr_female$Type: Observed Year: 1844 Ex: 6.680000","Age: 75 ex_fr_female$Type: Observed Year: 1845 Ex: 6.820000","Age: 75 ex_fr_female$Type: Observed Year: 1846 Ex: 6.630000","Age: 75 ex_fr_female$Type: Observed Year: 1847 Ex: 6.070000","Age: 75 ex_fr_female$Type: Observed Year: 1848 Ex: 6.320000","Age: 75 ex_fr_female$Type: Observed Year: 1849 Ex: 6.170000","Age: 75 ex_fr_female$Type: Observed Year: 1850 Ex: 6.710000","Age: 75 ex_fr_female$Type: Observed Year: 1851 Ex: 6.520000","Age: 75 ex_fr_female$Type: Observed Year: 1852 Ex: 6.560000","Age: 75 ex_fr_female$Type: Observed Year: 1853 Ex: 6.270000","Age: 75 ex_fr_female$Type: Observed Year: 1854 Ex: 5.950000","Age: 75 ex_fr_female$Type: Observed Year: 1855 Ex: 5.890000","Age: 75 ex_fr_female$Type: Observed Year: 1856 Ex: 6.600000","Age: 75 ex_fr_female$Type: Observed Year: 1857 Ex: 6.450000","Age: 75 ex_fr_female$Type: Observed Year: 1858 Ex: 6.090000","Age: 75 ex_fr_female$Type: Observed Year: 1859 Ex: 6.230000","Age: 75 ex_fr_female$Type: Observed Year: 1860 Ex: 6.660000","Age: 75 ex_fr_female$Type: Observed Year: 1861 Ex: 6.600000","Age: 75 ex_fr_female$Type: Observed Year: 1862 Ex: 6.670000","Age: 75 ex_fr_female$Type: Observed Year: 1863 Ex: 6.620000","Age: 75 ex_fr_female$Type: Observed Year: 1864 Ex: 6.370000","Age: 75 ex_fr_female$Type: Observed Year: 1865 Ex: 6.250000","Age: 75 ex_fr_female$Type: Observed Year: 1866 Ex: 6.440000","Age: 75 ex_fr_female$Type: Observed Year: 1867 Ex: 6.370000","Age: 75 ex_fr_female$Type: Observed Year: 1868 Ex: 6.260000","Age: 75 ex_fr_female$Type: Observed Year: 1869 Ex: 6.340000","Age: 75 ex_fr_female$Type: Observed Year: 1870 Ex: 5.780000","Age: 75 ex_fr_female$Type: Observed Year: 1871 Ex: 5.720000","Age: 75 ex_fr_female$Type: Observed Year: 1872 Ex: 7.050000","Age: 75 ex_fr_female$Type: Observed Year: 1873 Ex: 6.550000","Age: 75 ex_fr_female$Type: Observed Year: 1874 Ex: 6.790000","Age: 75 ex_fr_female$Type: Observed Year: 1875 Ex: 6.350000","Age: 75 ex_fr_female$Type: Observed Year: 1876 Ex: 6.530000","Age: 75 ex_fr_female$Type: Observed Year: 1877 Ex: 6.710000","Age: 75 ex_fr_female$Type: Observed Year: 1878 Ex: 6.370000","Age: 75 ex_fr_female$Type: Observed Year: 1879 Ex: 6.260000","Age: 75 ex_fr_female$Type: Observed Year: 1880 Ex: 6.510000","Age: 75 ex_fr_female$Type: Observed Year: 1881 Ex: 6.870000","Age: 75 ex_fr_female$Type: Observed Year: 1882 Ex: 6.930000","Age: 75 ex_fr_female$Type: Observed Year: 1883 Ex: 6.850000","Age: 75 ex_fr_female$Type: Observed Year: 1884 Ex: 6.870000","Age: 75 ex_fr_female$Type: Observed Year: 1885 Ex: 6.930000","Age: 75 ex_fr_female$Type: Observed Year: 1886 Ex: 6.910000","Age: 75 ex_fr_female$Type: Observed Year: 1887 Ex: 6.980000","Age: 75 ex_fr_female$Type: Observed Year: 1888 Ex: 6.690000","Age: 75 ex_fr_female$Type: Observed Year: 1889 Ex: 6.940000","Age: 75 ex_fr_female$Type: Observed Year: 1890 Ex: 6.390000","Age: 75 ex_fr_female$Type: Observed Year: 1891 Ex: 6.140000","Age: 75 ex_fr_female$Type: Observed Year: 1892 Ex: 6.070000","Age: 75 ex_fr_female$Type: Observed Year: 1893 Ex: 6.170000","Age: 75 ex_fr_female$Type: Observed Year: 1894 Ex: 6.480000","Age: 75 ex_fr_female$Type: Observed Year: 1895 Ex: 6.120000","Age: 75 ex_fr_female$Type: Observed Year: 1896 Ex: 6.770000","Age: 75 ex_fr_female$Type: Observed Year: 1897 Ex: 6.870000","Age: 75 ex_fr_female$Type: Observed Year: 1898 Ex: 6.420000","Age: 75 ex_fr_female$Type: Observed Year: 1899 Ex: 6.430000","Age: 75 ex_fr_female$Type: Observed Year: 1900 Ex: 6.100000","Age: 75 ex_fr_female$Type: Observed Year: 1901 Ex: 6.560000","Age: 75 ex_fr_female$Type: Observed Year: 1902 Ex: 6.710000","Age: 75 ex_fr_female$Type: Observed Year: 1903 Ex: 6.630000","Age: 75 ex_fr_female$Type: Observed Year: 1904 Ex: 6.580000","Age: 75 ex_fr_female$Type: Observed Year: 1905 Ex: 6.510000","Age: 75 ex_fr_female$Type: Observed Year: 1906 Ex: 6.540000","Age: 75 ex_fr_female$Type: Observed Year: 1907 Ex: 6.280000","Age: 75 ex_fr_female$Type: Observed Year: 1908 Ex: 6.680000","Age: 75 ex_fr_female$Type: Observed Year: 1909 Ex: 6.340000","Age: 75 ex_fr_female$Type: Observed Year: 1910 Ex: 6.800000","Age: 75 ex_fr_female$Type: Observed Year: 1911 Ex: 6.350000","Age: 75 ex_fr_female$Type: Observed Year: 1912 Ex: 6.970000","Age: 75 ex_fr_female$Type: Observed Year: 1913 Ex: 6.910000","Age: 75 ex_fr_female$Type: Observed Year: 1914 Ex: 6.450000","Age: 75 ex_fr_female$Type: Observed Year: 1915 Ex: 6.590000","Age: 75 ex_fr_female$Type: Observed Year: 1916 Ex: 6.630000","Age: 75 ex_fr_female$Type: Observed Year: 1917 Ex: 6.420000","Age: 75 ex_fr_female$Type: Observed Year: 1918 Ex: 6.570000","Age: 75 ex_fr_female$Type: Observed Year: 1919 Ex: 6.570000","Age: 75 ex_fr_female$Type: Observed Year: 1920 Ex: 7.110000","Age: 75 ex_fr_female$Type: Observed Year: 1921 Ex: 7.040000","Age: 75 ex_fr_female$Type: Observed Year: 1922 Ex: 6.700000","Age: 75 ex_fr_female$Type: Observed Year: 1923 Ex: 7.200000","Age: 75 ex_fr_female$Type: Observed Year: 1924 Ex: 7.020000","Age: 75 ex_fr_female$Type: Observed Year: 1925 Ex: 6.880000","Age: 75 ex_fr_female$Type: Observed Year: 1926 Ex: 6.940000","Age: 75 ex_fr_female$Type: Observed Year: 1927 Ex: 6.980000","Age: 75 ex_fr_female$Type: Observed Year: 1928 Ex: 7.200000","Age: 75 ex_fr_female$Type: Observed Year: 1929 Ex: 6.550000","Age: 75 ex_fr_female$Type: Observed Year: 1930 Ex: 7.620000","Age: 75 ex_fr_female$Type: Observed Year: 1931 Ex: 7.040000","Age: 75 ex_fr_female$Type: Observed Year: 1932 Ex: 7.330000","Age: 75 ex_fr_female$Type: Observed Year: 1933 Ex: 7.260000","Age: 75 ex_fr_female$Type: Observed Year: 1934 Ex: 7.650000","Age: 75 ex_fr_female$Type: Observed Year: 1935 Ex: 7.370000","Age: 75 ex_fr_female$Type: Observed Year: 1936 Ex: 7.510000","Age: 75 ex_fr_female$Type: Observed Year: 1937 Ex: 7.720000","Age: 75 ex_fr_female$Type: Observed Year: 1938 Ex: 7.500000","Age: 75 ex_fr_female$Type: Observed Year: 1939 Ex: 7.350000","Age: 75 ex_fr_female$Type: Observed Year: 1940 Ex: 6.430000","Age: 75 ex_fr_female$Type: Observed Year: 1941 Ex: 7.150000","Age: 75 ex_fr_female$Type: Observed Year: 1942 Ex: 7.110000","Age: 75 ex_fr_female$Type: Observed Year: 1943 Ex: 7.270000","Age: 75 ex_fr_female$Type: Observed Year: 1944 Ex: 6.750000","Age: 75 ex_fr_female$Type: Observed Year: 1945 Ex: 7.330000","Age: 75 ex_fr_female$Type: Observed Year: 1946 Ex: 8.160000","Age: 75 ex_fr_female$Type: Observed Year: 1947 Ex: 8.310000","Age: 75 ex_fr_female$Type: Observed Year: 1948 Ex: 8.760000","Age: 75 ex_fr_female$Type: Observed Year: 1949 Ex: 7.840000","Age: 75 ex_fr_female$Type: Observed Year: 1950 Ex: 8.380000","Age: 75 ex_fr_female$Type: Observed Year: 1951 Ex: 7.950000","Age: 75 ex_fr_female$Type: Observed Year: 1952 Ex: 8.520000","Age: 75 ex_fr_female$Type: Observed Year: 1953 Ex: 8.020000","Age: 75 ex_fr_female$Type: Observed Year: 1954 Ex: 8.660000","Age: 75 ex_fr_female$Type: Observed Year: 1955 Ex: 8.580000","Age: 75 ex_fr_female$Type: Observed Year: 1956 Ex: 8.370000","Age: 75 ex_fr_female$Type: Observed Year: 1957 Ex: 8.710000","Age: 75 ex_fr_female$Type: Observed Year: 1958 Ex: 8.970000","Age: 75 ex_fr_female$Type: Observed Year: 1959 Ex: 9.010000","Age: 75 ex_fr_female$Type: Observed Year: 1960 Ex: 8.950000","Age: 75 ex_fr_female$Type: Observed Year: 1961 Ex: 9.370000","Age: 75 ex_fr_female$Type: Observed Year: 1962 Ex: 8.920000","Age: 75 ex_fr_female$Type: Observed Year: 1963 Ex: 8.870000","Age: 75 ex_fr_female$Type: Observed Year: 1964 Ex: 9.500000","Age: 75 ex_fr_female$Type: Observed Year: 1965 Ex: 9.310000","Age: 75 ex_fr_female$Type: Observed Year: 1966 Ex: 9.630000","Age: 75 ex_fr_female$Type: Observed Year: 1967 Ex: 9.560000","Age: 75 ex_fr_female$Type: Observed Year: 1968 Ex: 9.500000","Age: 75 ex_fr_female$Type: Observed Year: 1969 Ex: 9.500000","Age: 75 ex_fr_female$Type: Observed Year: 1970 Ex: 9.780000","Age: 75 ex_fr_female$Type: Observed Year: 1971 Ex: 9.730000","Age: 75 ex_fr_female$Type: Observed Year: 1972 Ex: 9.950000","Age: 75 ex_fr_female$Type: Observed Year: 1973 Ex: 9.850000","Age: 75 ex_fr_female$Type: Observed Year: 1974 Ex: 10.040000","Age: 75 ex_fr_female$Type: Observed Year: 1975 Ex: 10.030000","Age: 75 ex_fr_female$Type: Observed Year: 1976 Ex: 10.130000","Age: 75 ex_fr_female$Type: Observed Year: 1977 Ex: 10.540000","Age: 75 ex_fr_female$Type: Observed Year: 1978 Ex: 10.510000","Age: 75 ex_fr_female$Type: Observed Year: 1979 Ex: 10.690000","Age: 75 ex_fr_female$Type: Observed Year: 1980 Ex: 10.710000","Age: 75 ex_fr_female$Type: Observed Year: 1981 Ex: 10.660000","Age: 75 ex_fr_female$Type: Observed Year: 1982 Ex: 10.940000","Age: 75 ex_fr_female$Type: Observed Year: 1983 Ex: 10.780000","Age: 75 ex_fr_female$Type: Observed Year: 1984 Ex: 11.150000","Age: 75 ex_fr_female$Type: Observed Year: 1985 Ex: 11.110000","Age: 75 ex_fr_female$Type: Observed Year: 1986 Ex: 11.280000","Age: 75 ex_fr_female$Type: Observed Year: 1987 Ex: 11.690000","Age: 75 ex_fr_female$Type: Observed Year: 1988 Ex: 11.840000","Age: 75 ex_fr_female$Type: Observed Year: 1989 Ex: 11.910000","Age: 75 ex_fr_female$Type: Observed Year: 1990 Ex: 12.050000","Age: 75 ex_fr_female$Type: Observed Year: 1991 Ex: 12.250000","Age: 75 ex_fr_female$Type: Observed Year: 1992 Ex: 12.440000","Age: 75 ex_fr_female$Type: Observed Year: 1993 Ex: 12.410000","Age: 75 ex_fr_female$Type: Observed Year: 1994 Ex: 12.750000","Age: 75 ex_fr_female$Type: Observed Year: 1995 Ex: 12.690000","Age: 75 ex_fr_female$Type: Observed Year: 1996 Ex: 12.740000","Age: 75 ex_fr_female$Type: Observed Year: 1997 Ex: 12.860000","Age: 75 ex_fr_female$Type: Observed Year: 1998 Ex: 12.910000","Age: 75 ex_fr_female$Type: Observed Year: 1999 Ex: 12.900000","Age: 75 ex_fr_female$Type: Observed Year: 2000 Ex: 13.110000","Age: 75 ex_fr_female$Type: Observed Year: 2001 Ex: 13.250000","Age: 75 ex_fr_female$Type: Observed Year: 2002 Ex: 13.250000","Age: 75 ex_fr_female$Type: Observed Year: 2003 Ex: 13.090000","Age: 75 ex_fr_female$Type: Observed Year: 2004 Ex: 13.890000","Age: 75 ex_fr_female$Type: Observed Year: 2005 Ex: 13.730000","Age: 75 ex_fr_female$Type: Observed Year: 2006 Ex: 14.060000","Age: 75 ex_fr_female$Type: Observed Year: 2007 Ex: 14.150000","Age: 75 ex_fr_female$Type: Observed Year: 2008 Ex: 14.140000","Age: 75 ex_fr_female$Type: Observed Year: 2009 Ex: 14.220000","Age: 75 ex_fr_female$Type: Observed Year: 2010 Ex: 14.360000","Age: 75 ex_fr_female$Type: Observed Year: 2011 Ex: 14.630000","Age: 75 ex_fr_female$Type: Observed Year: 2012 Ex: 14.420000","Age: 75 ex_fr_female$Type: Observed Year: 2013 Ex: 14.620000","Age: 75 ex_fr_female$Type: Observed Year: 2014 Ex: 14.930000","Age: 75 ex_fr_female$Type: Observed Year: 2015 Ex: 14.650000","Age: 75 ex_fr_female$Type: Observed Year: 2016 Ex: 14.830000","Age: 75 ex_fr_female$Type: Observed Year: 2017 Ex: 14.800000"],"frame":"75","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[6.89012514178997,7.05779660764533,7.13944263380934,7.18879335593793,6.77952163777518,7.39820164128072,7.24726873166543,7.28670917484486,7.4853210513691,7.35316965991916,6.88575551374159,7.29600936981189,7.06870359600228,6.77708964174521,6.83373154870248,6.86226513602792,6.42184578613861,7.18068446568367,6.94335298863927,7.11500248411986,7.17745109650102,6.26693337414128,6.96255643561281,7.32925923795257,6.90215357815139,7.23925194169766,6.86184788496297,6.98098045857912,7.06394689700782,7.19813154745612,7.00453133025786,6.45366199016238,6.69956659330123,6.55381905363481,7.08616618650799,6.89763085412465,6.93776467322608,6.64273026720515,6.32724573183775,6.26073102966833,6.96572907906368,6.81879322821,6.46590721420849,6.60112261157089,7.0256738503709,6.96789747095054,7.03815500456477,6.99408797183591,6.74766087966285,6.62629004588321,6.81156818761685,6.7414254442769,6.63349198984525,6.71173066542673,6.16001410315407,6.09731950328713,7.41652512649083,6.91869538215269,7.16007074672719,6.7167033444078,6.89779721766231,7.07718613703119,6.74012441510511,6.62298973632331,6.87665909662683,7.23634056264349,7.28898133033126,7.20772858508195,7.23536687778848,7.28574946864114,7.2687515852573,7.3355827707302,7.05176904998681,7.3059890676657,6.76305379716455,6.51209797596955,6.43910888169996,6.54243907732886,6.84555370245019,6.48997615850533,7.13769118682653,7.23215229447557,6.79055744870785,6.7976668062769,6.47157026962296,6.92055420323698,7.07449874739397,6.99403343502404,6.93952504734654,6.86927241493197,6.90055076976354,6.64708878388438,7.04143776967791,6.70929378394757,7.16401225614229,6.7121514345606,7.32704249592406,7.27364953954794,6.81011298349593,6.95296704885505,6.98462068375867,6.78096207152889,6.9277425808925,6.92233827764657,7.46517966473459,7.39047544429403,7.05619079753907,7.55700421155605,7.37417771901559,7.23679315505452,7.29631766575626,7.33411429107289,7.55403164196324,6.90752811857003,7.97347557370237,7.38661213614974,7.68157669458899,7.61217556000989,8.00041974432129,7.71537686243827,7.86168957518834,8.06328820278688,7.85049935793631,7.69529611921158,6.78356956729554,7.49166561650451,7.45339172239022,7.61669323911533,7.09755685533963,7.67903569190466,8.49563233929087,8.64320666267739,9.09130127578466,8.17921369334191,8.71548512391321,8.28569686423584,8.85334568694538,8.3554303368908,8.99447805208273,8.9149647672072,8.69957660260058,9.03611890221812,9.29334126703591,9.33614935695495,9.27432796055023,9.6973876552577,9.24350071712103,9.19637496636327,9.81911140027882,9.63027824949614,9.9526131356046,9.87825936428965,9.82053617920612,9.82030924840162,10.097387796413,10.0469209978373,10.2685600963272,10.1659469753285,10.3508108799111,10.3456415430919,10.4431368926415,10.8529069885415,10.8172005027608,11.001537158876,11.0239847947308,10.964162943718,11.2470714178632,11.0885487566293,11.452649331202,11.4198840723539,11.5834770001962,11.9937003725338,12.1452916727276,12.2056342755892,12.3483294655683,12.5473643685905,12.7348655399917,12.7074465467113,13.0426476033411,12.9859327125257,13.0350625578295,13.1497425617525,13.2039863986072,13.1958132299555,13.4052383674659,13.5426503753034,13.5368478647854,13.3773775596608,14.1750423705222,14.0166534132446,14.3510561800204,14.4390210825719,14.4219948074472,14.5049397387847,14.6502958506314,14.9109925143875,14.6999875107823,14.9043186828894,15.2178353215221,14.9371833195529,15.1111987357748,15.0838951840197],"text":["Age: 75 ex_fr_female$Type: Predicted Year: 1816 Ex: 6.890125","Age: 75 ex_fr_female$Type: Predicted Year: 1817 Ex: 7.057797","Age: 75 ex_fr_female$Type: Predicted Year: 1818 Ex: 7.139443","Age: 75 ex_fr_female$Type: Predicted Year: 1819 Ex: 7.188793","Age: 75 ex_fr_female$Type: Predicted Year: 1820 Ex: 6.779522","Age: 75 ex_fr_female$Type: Predicted Year: 1821 Ex: 7.398202","Age: 75 ex_fr_female$Type: Predicted Year: 1822 Ex: 7.247269","Age: 75 ex_fr_female$Type: Predicted Year: 1823 Ex: 7.286709","Age: 75 ex_fr_female$Type: Predicted Year: 1824 Ex: 7.485321","Age: 75 ex_fr_female$Type: Predicted Year: 1825 Ex: 7.353170","Age: 75 ex_fr_female$Type: Predicted Year: 1826 Ex: 6.885756","Age: 75 ex_fr_female$Type: Predicted Year: 1827 Ex: 7.296009","Age: 75 ex_fr_female$Type: Predicted Year: 1828 Ex: 7.068704","Age: 75 ex_fr_female$Type: Predicted Year: 1829 Ex: 6.777090","Age: 75 ex_fr_female$Type: Predicted Year: 1830 Ex: 6.833732","Age: 75 ex_fr_female$Type: Predicted Year: 1831 Ex: 6.862265","Age: 75 ex_fr_female$Type: Predicted Year: 1832 Ex: 6.421846","Age: 75 ex_fr_female$Type: Predicted Year: 1833 Ex: 7.180684","Age: 75 ex_fr_female$Type: Predicted Year: 1834 Ex: 6.943353","Age: 75 ex_fr_female$Type: Predicted Year: 1835 Ex: 7.115002","Age: 75 ex_fr_female$Type: Predicted Year: 1836 Ex: 7.177451","Age: 75 ex_fr_female$Type: Predicted Year: 1837 Ex: 6.266933","Age: 75 ex_fr_female$Type: Predicted Year: 1838 Ex: 6.962556","Age: 75 ex_fr_female$Type: Predicted Year: 1839 Ex: 7.329259","Age: 75 ex_fr_female$Type: Predicted Year: 1840 Ex: 6.902154","Age: 75 ex_fr_female$Type: Predicted Year: 1841 Ex: 7.239252","Age: 75 ex_fr_female$Type: Predicted Year: 1842 Ex: 6.861848","Age: 75 ex_fr_female$Type: Predicted Year: 1843 Ex: 6.980980","Age: 75 ex_fr_female$Type: Predicted Year: 1844 Ex: 7.063947","Age: 75 ex_fr_female$Type: Predicted Year: 1845 Ex: 7.198132","Age: 75 ex_fr_female$Type: Predicted Year: 1846 Ex: 7.004531","Age: 75 ex_fr_female$Type: Predicted Year: 1847 Ex: 6.453662","Age: 75 ex_fr_female$Type: Predicted Year: 1848 Ex: 6.699567","Age: 75 ex_fr_female$Type: Predicted Year: 1849 Ex: 6.553819","Age: 75 ex_fr_female$Type: Predicted Year: 1850 Ex: 7.086166","Age: 75 ex_fr_female$Type: Predicted Year: 1851 Ex: 6.897631","Age: 75 ex_fr_female$Type: Predicted Year: 1852 Ex: 6.937765","Age: 75 ex_fr_female$Type: Predicted Year: 1853 Ex: 6.642730","Age: 75 ex_fr_female$Type: Predicted Year: 1854 Ex: 6.327246","Age: 75 ex_fr_female$Type: Predicted Year: 1855 Ex: 6.260731","Age: 75 ex_fr_female$Type: Predicted Year: 1856 Ex: 6.965729","Age: 75 ex_fr_female$Type: Predicted Year: 1857 Ex: 6.818793","Age: 75 ex_fr_female$Type: Predicted Year: 1858 Ex: 6.465907","Age: 75 ex_fr_female$Type: Predicted Year: 1859 Ex: 6.601123","Age: 75 ex_fr_female$Type: Predicted Year: 1860 Ex: 7.025674","Age: 75 ex_fr_female$Type: Predicted Year: 1861 Ex: 6.967897","Age: 75 ex_fr_female$Type: Predicted Year: 1862 Ex: 7.038155","Age: 75 ex_fr_female$Type: Predicted Year: 1863 Ex: 6.994088","Age: 75 ex_fr_female$Type: Predicted Year: 1864 Ex: 6.747661","Age: 75 ex_fr_female$Type: Predicted Year: 1865 Ex: 6.626290","Age: 75 ex_fr_female$Type: Predicted Year: 1866 Ex: 6.811568","Age: 75 ex_fr_female$Type: Predicted Year: 1867 Ex: 6.741425","Age: 75 ex_fr_female$Type: Predicted Year: 1868 Ex: 6.633492","Age: 75 ex_fr_female$Type: Predicted Year: 1869 Ex: 6.711731","Age: 75 ex_fr_female$Type: Predicted Year: 1870 Ex: 6.160014","Age: 75 ex_fr_female$Type: Predicted Year: 1871 Ex: 6.097320","Age: 75 ex_fr_female$Type: Predicted Year: 1872 Ex: 7.416525","Age: 75 ex_fr_female$Type: Predicted Year: 1873 Ex: 6.918695","Age: 75 ex_fr_female$Type: Predicted Year: 1874 Ex: 7.160071","Age: 75 ex_fr_female$Type: Predicted Year: 1875 Ex: 6.716703","Age: 75 ex_fr_female$Type: Predicted Year: 1876 Ex: 6.897797","Age: 75 ex_fr_female$Type: Predicted Year: 1877 Ex: 7.077186","Age: 75 ex_fr_female$Type: Predicted Year: 1878 Ex: 6.740124","Age: 75 ex_fr_female$Type: Predicted Year: 1879 Ex: 6.622990","Age: 75 ex_fr_female$Type: Predicted Year: 1880 Ex: 6.876659","Age: 75 ex_fr_female$Type: Predicted Year: 1881 Ex: 7.236341","Age: 75 ex_fr_female$Type: Predicted Year: 1882 Ex: 7.288981","Age: 75 ex_fr_female$Type: Predicted Year: 1883 Ex: 7.207729","Age: 75 ex_fr_female$Type: Predicted Year: 1884 Ex: 7.235367","Age: 75 ex_fr_female$Type: Predicted Year: 1885 Ex: 7.285749","Age: 75 ex_fr_female$Type: Predicted Year: 1886 Ex: 7.268752","Age: 75 ex_fr_female$Type: Predicted Year: 1887 Ex: 7.335583","Age: 75 ex_fr_female$Type: Predicted Year: 1888 Ex: 7.051769","Age: 75 ex_fr_female$Type: Predicted Year: 1889 Ex: 7.305989","Age: 75 ex_fr_female$Type: Predicted Year: 1890 Ex: 6.763054","Age: 75 ex_fr_female$Type: Predicted Year: 1891 Ex: 6.512098","Age: 75 ex_fr_female$Type: Predicted Year: 1892 Ex: 6.439109","Age: 75 ex_fr_female$Type: Predicted Year: 1893 Ex: 6.542439","Age: 75 ex_fr_female$Type: Predicted Year: 1894 Ex: 6.845554","Age: 75 ex_fr_female$Type: Predicted Year: 1895 Ex: 6.489976","Age: 75 ex_fr_female$Type: Predicted Year: 1896 Ex: 7.137691","Age: 75 ex_fr_female$Type: Predicted Year: 1897 Ex: 7.232152","Age: 75 ex_fr_female$Type: Predicted Year: 1898 Ex: 6.790557","Age: 75 ex_fr_female$Type: Predicted Year: 1899 Ex: 6.797667","Age: 75 ex_fr_female$Type: Predicted Year: 1900 Ex: 6.471570","Age: 75 ex_fr_female$Type: Predicted Year: 1901 Ex: 6.920554","Age: 75 ex_fr_female$Type: Predicted Year: 1902 Ex: 7.074499","Age: 75 ex_fr_female$Type: Predicted Year: 1903 Ex: 6.994033","Age: 75 ex_fr_female$Type: Predicted Year: 1904 Ex: 6.939525","Age: 75 ex_fr_female$Type: Predicted Year: 1905 Ex: 6.869272","Age: 75 ex_fr_female$Type: Predicted Year: 1906 Ex: 6.900551","Age: 75 ex_fr_female$Type: Predicted Year: 1907 Ex: 6.647089","Age: 75 ex_fr_female$Type: Predicted Year: 1908 Ex: 7.041438","Age: 75 ex_fr_female$Type: Predicted Year: 1909 Ex: 6.709294","Age: 75 ex_fr_female$Type: Predicted Year: 1910 Ex: 7.164012","Age: 75 ex_fr_female$Type: Predicted Year: 1911 Ex: 6.712151","Age: 75 ex_fr_female$Type: Predicted Year: 1912 Ex: 7.327042","Age: 75 ex_fr_female$Type: Predicted Year: 1913 Ex: 7.273650","Age: 75 ex_fr_female$Type: Predicted Year: 1914 Ex: 6.810113","Age: 75 ex_fr_female$Type: Predicted Year: 1915 Ex: 6.952967","Age: 75 ex_fr_female$Type: Predicted Year: 1916 Ex: 6.984621","Age: 75 ex_fr_female$Type: Predicted Year: 1917 Ex: 6.780962","Age: 75 ex_fr_female$Type: Predicted Year: 1918 Ex: 6.927743","Age: 75 ex_fr_female$Type: Predicted Year: 1919 Ex: 6.922338","Age: 75 ex_fr_female$Type: Predicted Year: 1920 Ex: 7.465180","Age: 75 ex_fr_female$Type: Predicted Year: 1921 Ex: 7.390475","Age: 75 ex_fr_female$Type: Predicted Year: 1922 Ex: 7.056191","Age: 75 ex_fr_female$Type: Predicted Year: 1923 Ex: 7.557004","Age: 75 ex_fr_female$Type: Predicted Year: 1924 Ex: 7.374178","Age: 75 ex_fr_female$Type: Predicted Year: 1925 Ex: 7.236793","Age: 75 ex_fr_female$Type: Predicted Year: 1926 Ex: 7.296318","Age: 75 ex_fr_female$Type: Predicted Year: 1927 Ex: 7.334114","Age: 75 ex_fr_female$Type: Predicted Year: 1928 Ex: 7.554032","Age: 75 ex_fr_female$Type: Predicted Year: 1929 Ex: 6.907528","Age: 75 ex_fr_female$Type: Predicted Year: 1930 Ex: 7.973476","Age: 75 ex_fr_female$Type: Predicted Year: 1931 Ex: 7.386612","Age: 75 ex_fr_female$Type: Predicted Year: 1932 Ex: 7.681577","Age: 75 ex_fr_female$Type: Predicted Year: 1933 Ex: 7.612176","Age: 75 ex_fr_female$Type: Predicted Year: 1934 Ex: 8.000420","Age: 75 ex_fr_female$Type: Predicted Year: 1935 Ex: 7.715377","Age: 75 ex_fr_female$Type: Predicted Year: 1936 Ex: 7.861690","Age: 75 ex_fr_female$Type: Predicted Year: 1937 Ex: 8.063288","Age: 75 ex_fr_female$Type: Predicted Year: 1938 Ex: 7.850499","Age: 75 ex_fr_female$Type: Predicted Year: 1939 Ex: 7.695296","Age: 75 ex_fr_female$Type: Predicted Year: 1940 Ex: 6.783570","Age: 75 ex_fr_female$Type: Predicted Year: 1941 Ex: 7.491666","Age: 75 ex_fr_female$Type: Predicted Year: 1942 Ex: 7.453392","Age: 75 ex_fr_female$Type: Predicted Year: 1943 Ex: 7.616693","Age: 75 ex_fr_female$Type: Predicted Year: 1944 Ex: 7.097557","Age: 75 ex_fr_female$Type: Predicted Year: 1945 Ex: 7.679036","Age: 75 ex_fr_female$Type: Predicted Year: 1946 Ex: 8.495632","Age: 75 ex_fr_female$Type: Predicted Year: 1947 Ex: 8.643207","Age: 75 ex_fr_female$Type: Predicted Year: 1948 Ex: 9.091301","Age: 75 ex_fr_female$Type: Predicted Year: 1949 Ex: 8.179214","Age: 75 ex_fr_female$Type: Predicted Year: 1950 Ex: 8.715485","Age: 75 ex_fr_female$Type: Predicted Year: 1951 Ex: 8.285697","Age: 75 ex_fr_female$Type: Predicted Year: 1952 Ex: 8.853346","Age: 75 ex_fr_female$Type: Predicted Year: 1953 Ex: 8.355430","Age: 75 ex_fr_female$Type: Predicted Year: 1954 Ex: 8.994478","Age: 75 ex_fr_female$Type: Predicted Year: 1955 Ex: 8.914965","Age: 75 ex_fr_female$Type: Predicted Year: 1956 Ex: 8.699577","Age: 75 ex_fr_female$Type: Predicted Year: 1957 Ex: 9.036119","Age: 75 ex_fr_female$Type: Predicted Year: 1958 Ex: 9.293341","Age: 75 ex_fr_female$Type: Predicted Year: 1959 Ex: 9.336149","Age: 75 ex_fr_female$Type: Predicted Year: 1960 Ex: 9.274328","Age: 75 ex_fr_female$Type: Predicted Year: 1961 Ex: 9.697388","Age: 75 ex_fr_female$Type: Predicted Year: 1962 Ex: 9.243501","Age: 75 ex_fr_female$Type: Predicted Year: 1963 Ex: 9.196375","Age: 75 ex_fr_female$Type: Predicted Year: 1964 Ex: 9.819111","Age: 75 ex_fr_female$Type: Predicted Year: 1965 Ex: 9.630278","Age: 75 ex_fr_female$Type: Predicted Year: 1966 Ex: 9.952613","Age: 75 ex_fr_female$Type: Predicted Year: 1967 Ex: 9.878259","Age: 75 ex_fr_female$Type: Predicted Year: 1968 Ex: 9.820536","Age: 75 ex_fr_female$Type: Predicted Year: 1969 Ex: 9.820309","Age: 75 ex_fr_female$Type: Predicted Year: 1970 Ex: 10.097388","Age: 75 ex_fr_female$Type: Predicted Year: 1971 Ex: 10.046921","Age: 75 ex_fr_female$Type: Predicted Year: 1972 Ex: 10.268560","Age: 75 ex_fr_female$Type: Predicted Year: 1973 Ex: 10.165947","Age: 75 ex_fr_female$Type: Predicted Year: 1974 Ex: 10.350811","Age: 75 ex_fr_female$Type: Predicted Year: 1975 Ex: 10.345642","Age: 75 ex_fr_female$Type: Predicted Year: 1976 Ex: 10.443137","Age: 75 ex_fr_female$Type: Predicted Year: 1977 Ex: 10.852907","Age: 75 ex_fr_female$Type: Predicted Year: 1978 Ex: 10.817201","Age: 75 ex_fr_female$Type: Predicted Year: 1979 Ex: 11.001537","Age: 75 ex_fr_female$Type: Predicted Year: 1980 Ex: 11.023985","Age: 75 ex_fr_female$Type: Predicted Year: 1981 Ex: 10.964163","Age: 75 ex_fr_female$Type: Predicted Year: 1982 Ex: 11.247071","Age: 75 ex_fr_female$Type: Predicted Year: 1983 Ex: 11.088549","Age: 75 ex_fr_female$Type: Predicted Year: 1984 Ex: 11.452649","Age: 75 ex_fr_female$Type: Predicted Year: 1985 Ex: 11.419884","Age: 75 ex_fr_female$Type: Predicted Year: 1986 Ex: 11.583477","Age: 75 ex_fr_female$Type: Predicted Year: 1987 Ex: 11.993700","Age: 75 ex_fr_female$Type: Predicted Year: 1988 Ex: 12.145292","Age: 75 ex_fr_female$Type: Predicted Year: 1989 Ex: 12.205634","Age: 75 ex_fr_female$Type: Predicted Year: 1990 Ex: 12.348329","Age: 75 ex_fr_female$Type: Predicted Year: 1991 Ex: 12.547364","Age: 75 ex_fr_female$Type: Predicted Year: 1992 Ex: 12.734866","Age: 75 ex_fr_female$Type: Predicted Year: 1993 Ex: 12.707447","Age: 75 ex_fr_female$Type: Predicted Year: 1994 Ex: 13.042648","Age: 75 ex_fr_female$Type: Predicted Year: 1995 Ex: 12.985933","Age: 75 ex_fr_female$Type: Predicted Year: 1996 Ex: 13.035063","Age: 75 ex_fr_female$Type: Predicted Year: 1997 Ex: 13.149743","Age: 75 ex_fr_female$Type: Predicted Year: 1998 Ex: 13.203986","Age: 75 ex_fr_female$Type: Predicted Year: 1999 Ex: 13.195813","Age: 75 ex_fr_female$Type: Predicted Year: 2000 Ex: 13.405238","Age: 75 ex_fr_female$Type: Predicted Year: 2001 Ex: 13.542650","Age: 75 ex_fr_female$Type: Predicted Year: 2002 Ex: 13.536848","Age: 75 ex_fr_female$Type: Predicted Year: 2003 Ex: 13.377378","Age: 75 ex_fr_female$Type: Predicted Year: 2004 Ex: 14.175042","Age: 75 ex_fr_female$Type: Predicted Year: 2005 Ex: 14.016653","Age: 75 ex_fr_female$Type: Predicted Year: 2006 Ex: 14.351056","Age: 75 ex_fr_female$Type: Predicted Year: 2007 Ex: 14.439021","Age: 75 ex_fr_female$Type: Predicted Year: 2008 Ex: 14.421995","Age: 75 ex_fr_female$Type: Predicted Year: 2009 Ex: 14.504940","Age: 75 ex_fr_female$Type: Predicted Year: 2010 Ex: 14.650296","Age: 75 ex_fr_female$Type: Predicted Year: 2011 Ex: 14.910993","Age: 75 ex_fr_female$Type: Predicted Year: 2012 Ex: 14.699988","Age: 75 ex_fr_female$Type: Predicted Year: 2013 Ex: 14.904319","Age: 75 ex_fr_female$Type: Predicted Year: 2014 Ex: 15.217835","Age: 75 ex_fr_female$Type: Predicted Year: 2015 Ex: 14.937183","Age: 75 ex_fr_female$Type: Predicted Year: 2016 Ex: 15.111199","Age: 75 ex_fr_female$Type: Predicted Year: 2017 Ex: 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ex_fr_female$Type: Observed Year: 1832 Ex: 5.730000","Age: 76 ex_fr_female$Type: Observed Year: 1833 Ex: 6.460000","Age: 76 ex_fr_female$Type: Observed Year: 1834 Ex: 6.220000","Age: 76 ex_fr_female$Type: Observed Year: 1835 Ex: 6.380000","Age: 76 ex_fr_female$Type: Observed Year: 1836 Ex: 6.430000","Age: 76 ex_fr_female$Type: Observed Year: 1837 Ex: 5.570000","Age: 76 ex_fr_female$Type: Observed Year: 1838 Ex: 6.230000","Age: 76 ex_fr_female$Type: Observed Year: 1839 Ex: 6.600000","Age: 76 ex_fr_female$Type: Observed Year: 1840 Ex: 6.180000","Age: 76 ex_fr_female$Type: Observed Year: 1841 Ex: 6.490000","Age: 76 ex_fr_female$Type: Observed Year: 1842 Ex: 6.120000","Age: 76 ex_fr_female$Type: Observed Year: 1843 Ex: 6.230000","Age: 76 ex_fr_female$Type: Observed Year: 1844 Ex: 6.320000","Age: 76 ex_fr_female$Type: Observed Year: 1845 Ex: 6.460000","Age: 76 ex_fr_female$Type: Observed Year: 1846 Ex: 6.280000","Age: 76 ex_fr_female$Type: Observed Year: 1847 Ex: 5.740000","Age: 76 ex_fr_female$Type: Observed Year: 1848 Ex: 5.980000","Age: 76 ex_fr_female$Type: Observed Year: 1849 Ex: 5.830000","Age: 76 ex_fr_female$Type: Observed Year: 1850 Ex: 6.330000","Age: 76 ex_fr_female$Type: Observed Year: 1851 Ex: 6.150000","Age: 76 ex_fr_female$Type: Observed Year: 1852 Ex: 6.200000","Age: 76 ex_fr_female$Type: Observed Year: 1853 Ex: 5.910000","Age: 76 ex_fr_female$Type: Observed Year: 1854 Ex: 5.630000","Age: 76 ex_fr_female$Type: Observed Year: 1855 Ex: 5.540000","Age: 76 ex_fr_female$Type: Observed Year: 1856 Ex: 6.220000","Age: 76 ex_fr_female$Type: Observed Year: 1857 Ex: 6.090000","Age: 76 ex_fr_female$Type: Observed Year: 1858 Ex: 5.750000","Age: 76 ex_fr_female$Type: Observed Year: 1859 Ex: 5.880000","Age: 76 ex_fr_female$Type: Observed Year: 1860 Ex: 6.300000","Age: 76 ex_fr_female$Type: Observed Year: 1861 Ex: 6.220000","Age: 76 ex_fr_female$Type: Observed Year: 1862 Ex: 6.290000","Age: 76 ex_fr_female$Type: Observed Year: 1863 Ex: 6.260000","Age: 76 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ex_fr_female$Type: Observed Year: 1880 Ex: 6.110000","Age: 76 ex_fr_female$Type: Observed Year: 1881 Ex: 6.450000","Age: 76 ex_fr_female$Type: Observed Year: 1882 Ex: 6.510000","Age: 76 ex_fr_female$Type: Observed Year: 1883 Ex: 6.440000","Age: 76 ex_fr_female$Type: Observed Year: 1884 Ex: 6.460000","Age: 76 ex_fr_female$Type: Observed Year: 1885 Ex: 6.520000","Age: 76 ex_fr_female$Type: Observed Year: 1886 Ex: 6.510000","Age: 76 ex_fr_female$Type: Observed Year: 1887 Ex: 6.600000","Age: 76 ex_fr_female$Type: Observed Year: 1888 Ex: 6.330000","Age: 76 ex_fr_female$Type: Observed Year: 1889 Ex: 6.560000","Age: 76 ex_fr_female$Type: Observed Year: 1890 Ex: 6.020000","Age: 76 ex_fr_female$Type: Observed Year: 1891 Ex: 5.790000","Age: 76 ex_fr_female$Type: Observed Year: 1892 Ex: 5.710000","Age: 76 ex_fr_female$Type: Observed Year: 1893 Ex: 5.840000","Age: 76 ex_fr_female$Type: Observed Year: 1894 Ex: 6.120000","Age: 76 ex_fr_female$Type: Observed Year: 1895 Ex: 5.750000","Age: 76 ex_fr_female$Type: Observed Year: 1896 Ex: 6.380000","Age: 76 ex_fr_female$Type: Observed Year: 1897 Ex: 6.490000","Age: 76 ex_fr_female$Type: Observed Year: 1898 Ex: 6.070000","Age: 76 ex_fr_female$Type: Observed Year: 1899 Ex: 6.100000","Age: 76 ex_fr_female$Type: Observed Year: 1900 Ex: 5.730000","Age: 76 ex_fr_female$Type: Observed Year: 1901 Ex: 6.160000","Age: 76 ex_fr_female$Type: Observed Year: 1902 Ex: 6.340000","Age: 76 ex_fr_female$Type: Observed Year: 1903 Ex: 6.260000","Age: 76 ex_fr_female$Type: Observed Year: 1904 Ex: 6.180000","Age: 76 ex_fr_female$Type: Observed Year: 1905 Ex: 6.130000","Age: 76 ex_fr_female$Type: Observed Year: 1906 Ex: 6.150000","Age: 76 ex_fr_female$Type: Observed Year: 1907 Ex: 5.920000","Age: 76 ex_fr_female$Type: Observed Year: 1908 Ex: 6.310000","Age: 76 ex_fr_female$Type: Observed Year: 1909 Ex: 5.980000","Age: 76 ex_fr_female$Type: Observed Year: 1910 Ex: 6.410000","Age: 76 ex_fr_female$Type: Observed Year: 1911 Ex: 5.960000","Age: 76 ex_fr_female$Type: Observed Year: 1912 Ex: 6.560000","Age: 76 ex_fr_female$Type: Observed Year: 1913 Ex: 6.500000","Age: 76 ex_fr_female$Type: Observed Year: 1914 Ex: 6.060000","Age: 76 ex_fr_female$Type: Observed Year: 1915 Ex: 6.180000","Age: 76 ex_fr_female$Type: Observed Year: 1916 Ex: 6.220000","Age: 76 ex_fr_female$Type: Observed Year: 1917 Ex: 6.030000","Age: 76 ex_fr_female$Type: Observed Year: 1918 Ex: 6.180000","Age: 76 ex_fr_female$Type: Observed Year: 1919 Ex: 6.170000","Age: 76 ex_fr_female$Type: Observed Year: 1920 Ex: 6.690000","Age: 76 ex_fr_female$Type: Observed Year: 1921 Ex: 6.620000","Age: 76 ex_fr_female$Type: Observed Year: 1922 Ex: 6.300000","Age: 76 ex_fr_female$Type: Observed Year: 1923 Ex: 6.770000","Age: 76 ex_fr_female$Type: Observed Year: 1924 Ex: 6.610000","Age: 76 ex_fr_female$Type: Observed Year: 1925 Ex: 6.440000","Age: 76 ex_fr_female$Type: Observed Year: 1926 Ex: 6.520000","Age: 76 ex_fr_female$Type: Observed Year: 1927 Ex: 6.560000","Age: 76 ex_fr_female$Type: Observed Year: 1928 Ex: 6.780000","Age: 76 ex_fr_female$Type: Observed Year: 1929 Ex: 6.150000","Age: 76 ex_fr_female$Type: Observed Year: 1930 Ex: 7.160000","Age: 76 ex_fr_female$Type: Observed Year: 1931 Ex: 6.590000","Age: 76 ex_fr_female$Type: Observed Year: 1932 Ex: 6.890000","Age: 76 ex_fr_female$Type: Observed Year: 1933 Ex: 6.830000","Age: 76 ex_fr_female$Type: Observed Year: 1934 Ex: 7.220000","Age: 76 ex_fr_female$Type: Observed Year: 1935 Ex: 6.930000","Age: 76 ex_fr_female$Type: Observed Year: 1936 Ex: 7.060000","Age: 76 ex_fr_female$Type: Observed Year: 1937 Ex: 7.260000","Age: 76 ex_fr_female$Type: Observed Year: 1938 Ex: 7.050000","Age: 76 ex_fr_female$Type: Observed Year: 1939 Ex: 6.900000","Age: 76 ex_fr_female$Type: Observed Year: 1940 Ex: 5.980000","Age: 76 ex_fr_female$Type: Observed Year: 1941 Ex: 6.680000","Age: 76 ex_fr_female$Type: Observed Year: 1942 Ex: 6.640000","Age: 76 ex_fr_female$Type: Observed Year: 1943 Ex: 6.780000","Age: 76 ex_fr_female$Type: Observed Year: 1944 Ex: 6.280000","Age: 76 ex_fr_female$Type: Observed Year: 1945 Ex: 6.850000","Age: 76 ex_fr_female$Type: Observed Year: 1946 Ex: 7.650000","Age: 76 ex_fr_female$Type: Observed Year: 1947 Ex: 7.800000","Age: 76 ex_fr_female$Type: Observed Year: 1948 Ex: 8.250000","Age: 76 ex_fr_female$Type: Observed Year: 1949 Ex: 7.350000","Age: 76 ex_fr_female$Type: Observed Year: 1950 Ex: 7.870000","Age: 76 ex_fr_female$Type: Observed Year: 1951 Ex: 7.450000","Age: 76 ex_fr_female$Type: Observed Year: 1952 Ex: 7.990000","Age: 76 ex_fr_female$Type: Observed Year: 1953 Ex: 7.510000","Age: 76 ex_fr_female$Type: Observed Year: 1954 Ex: 8.150000","Age: 76 ex_fr_female$Type: Observed Year: 1955 Ex: 8.050000","Age: 76 ex_fr_female$Type: Observed Year: 1956 Ex: 7.830000","Age: 76 ex_fr_female$Type: Observed Year: 1957 Ex: 8.180000","Age: 76 ex_fr_female$Type: Observed Year: 1958 Ex: 8.420000","Age: 76 ex_fr_female$Type: Observed Year: 1959 Ex: 8.460000","Age: 76 ex_fr_female$Type: Observed Year: 1960 Ex: 8.390000","Age: 76 ex_fr_female$Type: Observed Year: 1961 Ex: 8.810000","Age: 76 ex_fr_female$Type: Observed Year: 1962 Ex: 8.360000","Age: 76 ex_fr_female$Type: Observed Year: 1963 Ex: 8.320000","Age: 76 ex_fr_female$Type: Observed Year: 1964 Ex: 8.920000","Age: 76 ex_fr_female$Type: Observed Year: 1965 Ex: 8.720000","Age: 76 ex_fr_female$Type: Observed Year: 1966 Ex: 9.060000","Age: 76 ex_fr_female$Type: Observed Year: 1967 Ex: 8.970000","Age: 76 ex_fr_female$Type: Observed Year: 1968 Ex: 8.920000","Age: 76 ex_fr_female$Type: Observed Year: 1969 Ex: 8.930000","Age: 76 ex_fr_female$Type: Observed Year: 1970 Ex: 9.200000","Age: 76 ex_fr_female$Type: Observed Year: 1971 Ex: 9.130000","Age: 76 ex_fr_female$Type: Observed Year: 1972 Ex: 9.340000","Age: 76 ex_fr_female$Type: Observed Year: 1973 Ex: 9.240000","Age: 76 ex_fr_female$Type: Observed Year: 1974 Ex: 9.420000","Age: 76 ex_fr_female$Type: Observed Year: 1975 Ex: 9.420000","Age: 76 ex_fr_female$Type: Observed Year: 1976 Ex: 9.510000","Age: 76 ex_fr_female$Type: Observed Year: 1977 Ex: 9.920000","Age: 76 ex_fr_female$Type: Observed Year: 1978 Ex: 9.870000","Age: 76 ex_fr_female$Type: Observed Year: 1979 Ex: 10.050000","Age: 76 ex_fr_female$Type: Observed Year: 1980 Ex: 10.060000","Age: 76 ex_fr_female$Type: Observed Year: 1981 Ex: 10.000000","Age: 76 ex_fr_female$Type: Observed Year: 1982 Ex: 10.280000","Age: 76 ex_fr_female$Type: Observed Year: 1983 Ex: 10.120000","Age: 76 ex_fr_female$Type: Observed Year: 1984 Ex: 10.480000","Age: 76 ex_fr_female$Type: Observed Year: 1985 Ex: 10.430000","Age: 76 ex_fr_female$Type: Observed Year: 1986 Ex: 10.590000","Age: 76 ex_fr_female$Type: Observed Year: 1987 Ex: 11.000000","Age: 76 ex_fr_female$Type: Observed Year: 1988 Ex: 11.150000","Age: 76 ex_fr_female$Type: Observed Year: 1989 Ex: 11.210000","Age: 76 ex_fr_female$Type: Observed Year: 1990 Ex: 11.350000","Age: 76 ex_fr_female$Type: Observed Year: 1991 Ex: 11.540000","Age: 76 ex_fr_female$Type: Observed Year: 1992 Ex: 11.720000","Age: 76 ex_fr_female$Type: Observed Year: 1993 Ex: 11.700000","Age: 76 ex_fr_female$Type: Observed Year: 1994 Ex: 12.030000","Age: 76 ex_fr_female$Type: Observed Year: 1995 Ex: 11.970000","Age: 76 ex_fr_female$Type: Observed Year: 1996 Ex: 12.010000","Age: 76 ex_fr_female$Type: Observed Year: 1997 Ex: 12.120000","Age: 76 ex_fr_female$Type: Observed Year: 1998 Ex: 12.180000","Age: 76 ex_fr_female$Type: Observed Year: 1999 Ex: 12.160000","Age: 76 ex_fr_female$Type: Observed Year: 2000 Ex: 12.360000","Age: 76 ex_fr_female$Type: Observed Year: 2001 Ex: 12.510000","Age: 76 ex_fr_female$Type: Observed Year: 2002 Ex: 12.500000","Age: 76 ex_fr_female$Type: Observed Year: 2003 Ex: 12.340000","Age: 76 ex_fr_female$Type: Observed Year: 2004 Ex: 13.120000","Age: 76 ex_fr_female$Type: Observed Year: 2005 Ex: 12.960000","Age: 76 ex_fr_female$Type: Observed Year: 2006 Ex: 13.290000","Age: 76 ex_fr_female$Type: Observed Year: 2007 Ex: 13.380000","Age: 76 ex_fr_female$Type: Observed Year: 2008 Ex: 13.360000","Age: 76 ex_fr_female$Type: Observed Year: 2009 Ex: 13.440000","Age: 76 ex_fr_female$Type: Observed Year: 2010 Ex: 13.580000","Age: 76 ex_fr_female$Type: Observed Year: 2011 Ex: 13.830000","Age: 76 ex_fr_female$Type: Observed Year: 2012 Ex: 13.620000","Age: 76 ex_fr_female$Type: Observed Year: 2013 Ex: 13.840000","Age: 76 ex_fr_female$Type: Observed Year: 2014 Ex: 14.140000","Age: 76 ex_fr_female$Type: Observed Year: 2015 Ex: 13.870000","Age: 76 ex_fr_female$Type: Observed Year: 2016 Ex: 14.030000","Age: 76 ex_fr_female$Type: Observed Year: 2017 Ex: 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76 ex_fr_female$Type: Predicted Year: 1816 Ex: 6.570492","Age: 76 ex_fr_female$Type: Predicted Year: 1817 Ex: 6.726834","Age: 76 ex_fr_female$Type: Predicted Year: 1818 Ex: 6.814023","Age: 76 ex_fr_female$Type: Predicted Year: 1819 Ex: 6.840158","Age: 76 ex_fr_female$Type: Predicted Year: 1820 Ex: 6.435725","Age: 76 ex_fr_female$Type: Predicted Year: 1821 Ex: 7.035976","Age: 76 ex_fr_female$Type: Predicted Year: 1822 Ex: 6.880770","Age: 76 ex_fr_female$Type: Predicted Year: 1823 Ex: 6.926443","Age: 76 ex_fr_female$Type: Predicted Year: 1824 Ex: 7.117171","Age: 76 ex_fr_female$Type: Predicted Year: 1825 Ex: 6.984455","Age: 76 ex_fr_female$Type: Predicted Year: 1826 Ex: 6.521599","Age: 76 ex_fr_female$Type: Predicted Year: 1827 Ex: 6.925228","Age: 76 ex_fr_female$Type: Predicted Year: 1828 Ex: 6.720231","Age: 76 ex_fr_female$Type: Predicted Year: 1829 Ex: 6.436445","Age: 76 ex_fr_female$Type: Predicted Year: 1830 Ex: 6.503950","Age: 76 ex_fr_female$Type: Predicted Year: 1831 Ex: 6.517611","Age: 76 ex_fr_female$Type: Predicted Year: 1832 Ex: 6.130754","Age: 76 ex_fr_female$Type: Predicted Year: 1833 Ex: 6.851051","Age: 76 ex_fr_female$Type: Predicted Year: 1834 Ex: 6.609902","Age: 76 ex_fr_female$Type: Predicted Year: 1835 Ex: 6.764129","Age: 76 ex_fr_female$Type: Predicted Year: 1836 Ex: 6.821912","Age: 76 ex_fr_female$Type: Predicted Year: 1837 Ex: 5.964492","Age: 76 ex_fr_female$Type: Predicted Year: 1838 Ex: 6.627733","Age: 76 ex_fr_female$Type: Predicted Year: 1839 Ex: 6.987846","Age: 76 ex_fr_female$Type: Predicted Year: 1840 Ex: 6.564228","Age: 76 ex_fr_female$Type: Predicted Year: 1841 Ex: 6.871853","Age: 76 ex_fr_female$Type: Predicted Year: 1842 Ex: 6.515182","Age: 76 ex_fr_female$Type: Predicted Year: 1843 Ex: 6.623235","Age: 76 ex_fr_female$Type: Predicted Year: 1844 Ex: 6.705969","Age: 76 ex_fr_female$Type: Predicted Year: 1845 Ex: 6.848196","Age: 76 ex_fr_female$Type: Predicted Year: 1846 Ex: 6.661168","Age: 76 ex_fr_female$Type: Predicted Year: 1847 Ex: 6.128374","Age: 76 ex_fr_female$Type: Predicted Year: 1848 Ex: 6.366801","Age: 76 ex_fr_female$Type: Predicted Year: 1849 Ex: 6.224286","Age: 76 ex_fr_female$Type: Predicted Year: 1850 Ex: 6.711909","Age: 76 ex_fr_female$Type: Predicted Year: 1851 Ex: 6.527892","Age: 76 ex_fr_female$Type: Predicted Year: 1852 Ex: 6.580987","Age: 76 ex_fr_female$Type: Predicted Year: 1853 Ex: 6.286884","Age: 76 ex_fr_female$Type: Predicted Year: 1854 Ex: 6.010445","Age: 76 ex_fr_female$Type: Predicted Year: 1855 Ex: 5.918919","Age: 76 ex_fr_female$Type: Predicted Year: 1856 Ex: 6.592101","Age: 76 ex_fr_female$Type: Predicted Year: 1857 Ex: 6.463307","Age: 76 ex_fr_female$Type: Predicted Year: 1858 Ex: 6.130294","Age: 76 ex_fr_female$Type: Predicted Year: 1859 Ex: 6.255932","Age: 76 ex_fr_female$Type: Predicted Year: 1860 Ex: 6.673077","Age: 76 ex_fr_female$Type: Predicted Year: 1861 Ex: 6.595190","Age: 76 ex_fr_female$Type: Predicted Year: 1862 Ex: 6.668166","Age: 76 ex_fr_female$Type: Predicted Year: 1863 Ex: 6.638214","Age: 76 ex_fr_female$Type: Predicted Year: 1864 Ex: 6.407179","Age: 76 ex_fr_female$Type: Predicted Year: 1865 Ex: 6.300213","Age: 76 ex_fr_female$Type: Predicted Year: 1866 Ex: 6.485602","Age: 76 ex_fr_female$Type: Predicted Year: 1867 Ex: 6.409076","Age: 76 ex_fr_female$Type: Predicted Year: 1868 Ex: 6.288508","Age: 76 ex_fr_female$Type: Predicted Year: 1869 Ex: 6.345805","Age: 76 ex_fr_female$Type: Predicted Year: 1870 Ex: 5.804798","Age: 76 ex_fr_female$Type: Predicted Year: 1871 Ex: 5.759273","Age: 76 ex_fr_female$Type: Predicted Year: 1872 Ex: 7.042454","Age: 76 ex_fr_female$Type: Predicted Year: 1873 Ex: 6.553576","Age: 76 ex_fr_female$Type: Predicted Year: 1874 Ex: 6.799415","Age: 76 ex_fr_female$Type: Predicted Year: 1875 Ex: 6.358362","Age: 76 ex_fr_female$Type: Predicted Year: 1876 Ex: 6.525258","Age: 76 ex_fr_female$Type: Predicted Year: 1877 Ex: 6.703158","Age: 76 ex_fr_female$Type: Predicted Year: 1878 Ex: 6.370000","Age: 76 ex_fr_female$Type: Predicted Year: 1879 Ex: 6.248749","Age: 76 ex_fr_female$Type: Predicted Year: 1880 Ex: 6.483267","Age: 76 ex_fr_female$Type: Predicted Year: 1881 Ex: 6.827441","Age: 76 ex_fr_female$Type: Predicted Year: 1882 Ex: 6.883740","Age: 76 ex_fr_female$Type: Predicted Year: 1883 Ex: 6.800779","Age: 76 ex_fr_female$Type: Predicted Year: 1884 Ex: 6.826162","Age: 76 ex_fr_female$Type: Predicted Year: 1885 Ex: 6.879116","Age: 76 ex_fr_female$Type: Predicted Year: 1886 Ex: 6.870297","Age: 76 ex_fr_female$Type: Predicted Year: 1887 Ex: 6.963005","Age: 76 ex_fr_female$Type: Predicted Year: 1888 Ex: 6.692817","Age: 76 ex_fr_female$Type: Predicted Year: 1889 Ex: 6.927866","Age: 76 ex_fr_female$Type: Predicted Year: 1890 Ex: 6.397871","Age: 76 ex_fr_female$Type: Predicted Year: 1891 Ex: 6.169580","Age: 76 ex_fr_female$Type: Predicted Year: 1892 Ex: 6.092045","Age: 76 ex_fr_female$Type: Predicted Year: 1893 Ex: 6.213059","Age: 76 ex_fr_female$Type: Predicted Year: 1894 Ex: 6.493288","Age: 76 ex_fr_female$Type: Predicted Year: 1895 Ex: 6.125413","Age: 76 ex_fr_female$Type: Predicted Year: 1896 Ex: 6.744554","Age: 76 ex_fr_female$Type: Predicted Year: 1897 Ex: 6.858923","Age: 76 ex_fr_female$Type: Predicted Year: 1898 Ex: 6.439700","Age: 76 ex_fr_female$Type: Predicted Year: 1899 Ex: 6.464697","Age: 76 ex_fr_female$Type: Predicted Year: 1900 Ex: 6.103731","Age: 76 ex_fr_female$Type: Predicted Year: 1901 Ex: 6.535355","Age: 76 ex_fr_female$Type: Predicted Year: 1902 Ex: 6.711480","Age: 76 ex_fr_female$Type: Predicted Year: 1903 Ex: 6.632433","Age: 76 ex_fr_female$Type: Predicted Year: 1904 Ex: 6.547168","Age: 76 ex_fr_female$Type: Predicted Year: 1905 Ex: 6.496179","Age: 76 ex_fr_female$Type: Predicted Year: 1906 Ex: 6.515755","Age: 76 ex_fr_female$Type: Predicted Year: 1907 Ex: 6.296876","Age: 76 ex_fr_female$Type: Predicted Year: 1908 Ex: 6.677086","Age: 76 ex_fr_female$Type: Predicted Year: 1909 Ex: 6.354447","Age: 76 ex_fr_female$Type: Predicted Year: 1910 Ex: 6.780864","Age: 76 ex_fr_female$Type: Predicted Year: 1911 Ex: 6.331394","Age: 76 ex_fr_female$Type: Predicted Year: 1912 Ex: 6.927367","Age: 76 ex_fr_female$Type: Predicted Year: 1913 Ex: 6.870977","Age: 76 ex_fr_female$Type: Predicted Year: 1914 Ex: 6.430502","Age: 76 ex_fr_female$Type: Predicted Year: 1915 Ex: 6.549083","Age: 76 ex_fr_female$Type: Predicted Year: 1916 Ex: 6.580964","Age: 76 ex_fr_female$Type: Predicted Year: 1917 Ex: 6.395997","Age: 76 ex_fr_female$Type: Predicted Year: 1918 Ex: 6.542667","Age: 76 ex_fr_female$Type: Predicted Year: 1919 Ex: 6.526317","Age: 76 ex_fr_female$Type: Predicted Year: 1920 Ex: 7.053400","Age: 76 ex_fr_female$Type: Predicted Year: 1921 Ex: 6.981074","Age: 76 ex_fr_female$Type: Predicted Year: 1922 Ex: 6.664139","Age: 76 ex_fr_female$Type: Predicted Year: 1923 Ex: 7.126351","Age: 76 ex_fr_female$Type: Predicted Year: 1924 Ex: 6.972207","Age: 76 ex_fr_female$Type: Predicted Year: 1925 Ex: 6.799435","Age: 76 ex_fr_female$Type: Predicted Year: 1926 Ex: 6.880177","Age: 76 ex_fr_female$Type: Predicted Year: 1927 Ex: 6.916464","Age: 76 ex_fr_female$Type: Predicted Year: 1928 Ex: 7.131848","Age: 76 ex_fr_female$Type: Predicted Year: 1929 Ex: 6.506744","Age: 76 ex_fr_female$Type: Predicted Year: 1930 Ex: 7.518964","Age: 76 ex_fr_female$Type: Predicted Year: 1931 Ex: 6.942361","Age: 76 ex_fr_female$Type: Predicted Year: 1932 Ex: 7.241645","Age: 76 ex_fr_female$Type: Predicted Year: 1933 Ex: 7.183896","Age: 76 ex_fr_female$Type: Predicted Year: 1934 Ex: 7.569339","Age: 76 ex_fr_female$Type: Predicted Year: 1935 Ex: 7.280185","Age: 76 ex_fr_female$Type: Predicted Year: 1936 Ex: 7.409704","Age: 76 ex_fr_female$Type: Predicted Year: 1937 Ex: 7.613301","Age: 76 ex_fr_female$Type: Predicted Year: 1938 Ex: 7.405038","Age: 76 ex_fr_female$Type: Predicted Year: 1939 Ex: 7.252008","Age: 76 ex_fr_female$Type: Predicted Year: 1940 Ex: 6.341997","Age: 76 ex_fr_female$Type: Predicted Year: 1941 Ex: 7.030209","Age: 76 ex_fr_female$Type: Predicted Year: 1942 Ex: 6.988387","Age: 76 ex_fr_female$Type: Predicted Year: 1943 Ex: 7.134000","Age: 76 ex_fr_female$Type: Predicted Year: 1944 Ex: 6.635051","Age: 76 ex_fr_female$Type: Predicted Year: 1945 Ex: 7.202648","Age: 76 ex_fr_female$Type: Predicted Year: 1946 Ex: 7.993097","Age: 76 ex_fr_female$Type: Predicted Year: 1947 Ex: 8.141892","Age: 76 ex_fr_female$Type: Predicted Year: 1948 Ex: 8.588456","Age: 76 ex_fr_female$Type: Predicted Year: 1949 Ex: 7.696607","Age: 76 ex_fr_female$Type: Predicted Year: 1950 Ex: 8.212229","Age: 76 ex_fr_female$Type: Predicted Year: 1951 Ex: 7.788581","Age: 76 ex_fr_female$Type: Predicted Year: 1952 Ex: 8.328952","Age: 76 ex_fr_female$Type: Predicted Year: 1953 Ex: 7.854033","Age: 76 ex_fr_female$Type: Predicted Year: 1954 Ex: 8.484321","Age: 76 ex_fr_female$Type: Predicted Year: 1955 Ex: 8.385005","Age: 76 ex_fr_female$Type: Predicted Year: 1956 Ex: 8.171373","Age: 76 ex_fr_female$Type: Predicted Year: 1957 Ex: 8.514280","Age: 76 ex_fr_female$Type: Predicted Year: 1958 Ex: 8.751870","Age: 76 ex_fr_female$Type: Predicted Year: 1959 Ex: 8.790773","Age: 76 ex_fr_female$Type: Predicted Year: 1960 Ex: 8.721894","Age: 76 ex_fr_female$Type: Predicted Year: 1961 Ex: 9.136018","Age: 76 ex_fr_female$Type: Predicted Year: 1962 Ex: 8.693817","Age: 76 ex_fr_female$Type: Predicted Year: 1963 Ex: 8.646369","Age: 76 ex_fr_female$Type: Predicted Year: 1964 Ex: 9.250563","Age: 76 ex_fr_female$Type: Predicted Year: 1965 Ex: 9.052318","Age: 76 ex_fr_female$Type: Predicted Year: 1966 Ex: 9.384310","Age: 76 ex_fr_female$Type: Predicted Year: 1967 Ex: 9.296166","Age: 76 ex_fr_female$Type: Predicted Year: 1968 Ex: 9.245714","Age: 76 ex_fr_female$Type: Predicted Year: 1969 Ex: 9.257477","Age: 76 ex_fr_female$Type: Predicted Year: 1970 Ex: 9.522552","Age: 76 ex_fr_female$Type: Predicted Year: 1971 Ex: 9.454003","Age: 76 ex_fr_female$Type: Predicted Year: 1972 Ex: 9.666870","Age: 76 ex_fr_female$Type: Predicted Year: 1973 Ex: 9.562690","Age: 76 ex_fr_female$Type: Predicted Year: 1974 Ex: 9.744785","Age: 76 ex_fr_female$Type: Predicted Year: 1975 Ex: 9.740126","Age: 76 ex_fr_female$Type: Predicted Year: 1976 Ex: 9.832634","Age: 76 ex_fr_female$Type: Predicted Year: 1977 Ex: 10.231692","Age: 76 ex_fr_female$Type: Predicted Year: 1978 Ex: 10.189545","Age: 76 ex_fr_female$Type: Predicted Year: 1979 Ex: 10.360418","Age: 76 ex_fr_female$Type: Predicted Year: 1980 Ex: 10.373187","Age: 76 ex_fr_female$Type: Predicted Year: 1981 Ex: 10.315382","Age: 76 ex_fr_female$Type: Predicted Year: 1982 Ex: 10.591132","Age: 76 ex_fr_female$Type: Predicted Year: 1983 Ex: 10.434532","Age: 76 ex_fr_female$Type: Predicted Year: 1984 Ex: 10.786120","Age: 76 ex_fr_female$Type: Predicted Year: 1985 Ex: 10.741333","Age: 76 ex_fr_female$Type: Predicted Year: 1986 Ex: 10.902326","Age: 76 ex_fr_female$Type: Predicted Year: 1987 Ex: 11.305915","Age: 76 ex_fr_female$Type: Predicted Year: 1988 Ex: 11.453850","Age: 76 ex_fr_female$Type: Predicted Year: 1989 Ex: 11.510265","Age: 76 ex_fr_female$Type: Predicted Year: 1990 Ex: 11.648530","Age: 76 ex_fr_female$Type: Predicted Year: 1991 Ex: 11.838162","Age: 76 ex_fr_female$Type: Predicted Year: 1992 Ex: 12.023423","Age: 76 ex_fr_female$Type: Predicted Year: 1993 Ex: 11.995983","Age: 76 ex_fr_female$Type: Predicted Year: 1994 Ex: 12.324348","Age: 76 ex_fr_female$Type: Predicted Year: 1995 Ex: 12.266998","Age: 76 ex_fr_female$Type: Predicted Year: 1996 Ex: 12.310954","Age: 76 ex_fr_female$Type: Predicted Year: 1997 Ex: 12.420661","Age: 76 ex_fr_female$Type: Predicted Year: 1998 Ex: 12.471396","Age: 76 ex_fr_female$Type: Predicted Year: 1999 Ex: 12.459032","Age: 76 ex_fr_female$Type: Predicted Year: 2000 Ex: 12.659368","Age: 76 ex_fr_female$Type: Predicted Year: 2001 Ex: 12.802413","Age: 76 ex_fr_female$Type: Predicted Year: 2002 Ex: 12.789050","Age: 76 ex_fr_female$Type: Predicted Year: 2003 Ex: 12.628595","Age: 76 ex_fr_female$Type: Predicted Year: 2004 Ex: 13.409094","Age: 76 ex_fr_female$Type: Predicted Year: 2005 Ex: 13.251569","Age: 76 ex_fr_female$Type: Predicted Year: 2006 Ex: 13.583753","Age: 76 ex_fr_female$Type: Predicted Year: 2007 Ex: 13.666252","Age: 76 ex_fr_female$Type: Predicted Year: 2008 Ex: 13.649797","Age: 76 ex_fr_female$Type: Predicted Year: 2009 Ex: 13.731822","Age: 76 ex_fr_female$Type: Predicted Year: 2010 Ex: 13.866165","Age: 76 ex_fr_female$Type: Predicted Year: 2011 Ex: 14.122502","Age: 76 ex_fr_female$Type: Predicted Year: 2012 Ex: 13.912146","Age: 76 ex_fr_female$Type: Predicted Year: 2013 Ex: 14.122455","Age: 76 ex_fr_female$Type: Predicted Year: 2014 Ex: 14.425785","Age: 76 ex_fr_female$Type: Predicted Year: 2015 Ex: 14.152154","Age: 76 ex_fr_female$Type: Predicted Year: 2016 Ex: 14.316605","Age: 76 ex_fr_female$Type: Predicted Year: 2017 Ex: 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ex_fr_female$Type: Observed Year: 1880 Ex: 5.720000","Age: 77 ex_fr_female$Type: Observed Year: 1881 Ex: 6.050000","Age: 77 ex_fr_female$Type: Observed Year: 1882 Ex: 6.100000","Age: 77 ex_fr_female$Type: Observed Year: 1883 Ex: 6.030000","Age: 77 ex_fr_female$Type: Observed Year: 1884 Ex: 6.060000","Age: 77 ex_fr_female$Type: Observed Year: 1885 Ex: 6.120000","Age: 77 ex_fr_female$Type: Observed Year: 1886 Ex: 6.110000","Age: 77 ex_fr_female$Type: Observed Year: 1887 Ex: 6.220000","Age: 77 ex_fr_female$Type: Observed Year: 1888 Ex: 5.960000","Age: 77 ex_fr_female$Type: Observed Year: 1889 Ex: 6.200000","Age: 77 ex_fr_female$Type: Observed Year: 1890 Ex: 5.680000","Age: 77 ex_fr_female$Type: Observed Year: 1891 Ex: 5.470000","Age: 77 ex_fr_female$Type: Observed Year: 1892 Ex: 5.380000","Age: 77 ex_fr_female$Type: Observed Year: 1893 Ex: 5.510000","Age: 77 ex_fr_female$Type: Observed Year: 1894 Ex: 5.790000","Age: 77 ex_fr_female$Type: Observed Year: 1895 Ex: 5.430000","Age: 77 ex_fr_female$Type: Observed Year: 1896 Ex: 6.000000","Age: 77 ex_fr_female$Type: Observed Year: 1897 Ex: 6.100000","Age: 77 ex_fr_female$Type: Observed Year: 1898 Ex: 5.690000","Age: 77 ex_fr_female$Type: Observed Year: 1899 Ex: 5.760000","Age: 77 ex_fr_female$Type: Observed Year: 1900 Ex: 5.420000","Age: 77 ex_fr_female$Type: Observed Year: 1901 Ex: 5.780000","Age: 77 ex_fr_female$Type: Observed Year: 1902 Ex: 5.960000","Age: 77 ex_fr_female$Type: Observed Year: 1903 Ex: 5.890000","Age: 77 ex_fr_female$Type: Observed Year: 1904 Ex: 5.810000","Age: 77 ex_fr_female$Type: Observed Year: 1905 Ex: 5.740000","Age: 77 ex_fr_female$Type: Observed Year: 1906 Ex: 5.770000","Age: 77 ex_fr_female$Type: Observed Year: 1907 Ex: 5.540000","Age: 77 ex_fr_female$Type: Observed Year: 1908 Ex: 5.950000","Age: 77 ex_fr_female$Type: Observed Year: 1909 Ex: 5.620000","Age: 77 ex_fr_female$Type: Observed Year: 1910 Ex: 6.050000","Age: 77 ex_fr_female$Type: Observed Year: 1911 Ex: 5.590000","Age: 77 ex_fr_female$Type: Observed Year: 1912 Ex: 6.170000","Age: 77 ex_fr_female$Type: Observed Year: 1913 Ex: 6.140000","Age: 77 ex_fr_female$Type: Observed Year: 1914 Ex: 5.710000","Age: 77 ex_fr_female$Type: Observed Year: 1915 Ex: 5.810000","Age: 77 ex_fr_female$Type: Observed Year: 1916 Ex: 5.810000","Age: 77 ex_fr_female$Type: Observed Year: 1917 Ex: 5.630000","Age: 77 ex_fr_female$Type: Observed Year: 1918 Ex: 5.800000","Age: 77 ex_fr_female$Type: Observed Year: 1919 Ex: 5.780000","Age: 77 ex_fr_female$Type: Observed Year: 1920 Ex: 6.290000","Age: 77 ex_fr_female$Type: Observed Year: 1921 Ex: 6.210000","Age: 77 ex_fr_female$Type: Observed Year: 1922 Ex: 5.930000","Age: 77 ex_fr_female$Type: Observed Year: 1923 Ex: 6.360000","Age: 77 ex_fr_female$Type: Observed Year: 1924 Ex: 6.210000","Age: 77 ex_fr_female$Type: Observed Year: 1925 Ex: 6.040000","Age: 77 ex_fr_female$Type: Observed Year: 1926 Ex: 6.100000","Age: 77 ex_fr_female$Type: Observed Year: 1927 Ex: 6.120000","Age: 77 ex_fr_female$Type: Observed Year: 1928 Ex: 6.360000","Age: 77 ex_fr_female$Type: Observed Year: 1929 Ex: 5.760000","Age: 77 ex_fr_female$Type: Observed Year: 1930 Ex: 6.740000","Age: 77 ex_fr_female$Type: Observed Year: 1931 Ex: 6.150000","Age: 77 ex_fr_female$Type: Observed Year: 1932 Ex: 6.460000","Age: 77 ex_fr_female$Type: Observed Year: 1933 Ex: 6.410000","Age: 77 ex_fr_female$Type: Observed Year: 1934 Ex: 6.810000","Age: 77 ex_fr_female$Type: Observed Year: 1935 Ex: 6.510000","Age: 77 ex_fr_female$Type: Observed Year: 1936 Ex: 6.620000","Age: 77 ex_fr_female$Type: Observed Year: 1937 Ex: 6.830000","Age: 77 ex_fr_female$Type: Observed Year: 1938 Ex: 6.620000","Age: 77 ex_fr_female$Type: Observed Year: 1939 Ex: 6.490000","Age: 77 ex_fr_female$Type: Observed Year: 1940 Ex: 5.590000","Age: 77 ex_fr_female$Type: Observed Year: 1941 Ex: 6.240000","Age: 77 ex_fr_female$Type: Observed Year: 1942 Ex: 6.210000","Age: 77 ex_fr_female$Type: Observed Year: 1943 Ex: 6.360000","Age: 77 ex_fr_female$Type: Observed Year: 1944 Ex: 5.850000","Age: 77 ex_fr_female$Type: Observed Year: 1945 Ex: 6.400000","Age: 77 ex_fr_female$Type: Observed Year: 1946 Ex: 7.160000","Age: 77 ex_fr_female$Type: Observed Year: 1947 Ex: 7.310000","Age: 77 ex_fr_female$Type: Observed Year: 1948 Ex: 7.750000","Age: 77 ex_fr_female$Type: Observed Year: 1949 Ex: 6.890000","Age: 77 ex_fr_female$Type: Observed Year: 1950 Ex: 7.400000","Age: 77 ex_fr_female$Type: Observed Year: 1951 Ex: 6.980000","Age: 77 ex_fr_female$Type: Observed Year: 1952 Ex: 7.490000","Age: 77 ex_fr_female$Type: Observed Year: 1953 Ex: 7.030000","Age: 77 ex_fr_female$Type: Observed Year: 1954 Ex: 7.660000","Age: 77 ex_fr_female$Type: Observed Year: 1955 Ex: 7.540000","Age: 77 ex_fr_female$Type: Observed Year: 1956 Ex: 7.330000","Age: 77 ex_fr_female$Type: Observed Year: 1957 Ex: 7.670000","Age: 77 ex_fr_female$Type: Observed Year: 1958 Ex: 7.900000","Age: 77 ex_fr_female$Type: Observed Year: 1959 Ex: 7.940000","Age: 77 ex_fr_female$Type: Observed Year: 1960 Ex: 7.860000","Age: 77 ex_fr_female$Type: Observed Year: 1961 Ex: 8.270000","Age: 77 ex_fr_female$Type: Observed Year: 1962 Ex: 7.830000","Age: 77 ex_fr_female$Type: Observed Year: 1963 Ex: 7.780000","Age: 77 ex_fr_female$Type: Observed Year: 1964 Ex: 8.370000","Age: 77 ex_fr_female$Type: Observed Year: 1965 Ex: 8.180000","Age: 77 ex_fr_female$Type: Observed Year: 1966 Ex: 8.500000","Age: 77 ex_fr_female$Type: Observed Year: 1967 Ex: 8.410000","Age: 77 ex_fr_female$Type: Observed Year: 1968 Ex: 8.360000","Age: 77 ex_fr_female$Type: Observed Year: 1969 Ex: 8.390000","Age: 77 ex_fr_female$Type: Observed Year: 1970 Ex: 8.630000","Age: 77 ex_fr_female$Type: Observed Year: 1971 Ex: 8.560000","Age: 77 ex_fr_female$Type: Observed Year: 1972 Ex: 8.770000","Age: 77 ex_fr_female$Type: Observed Year: 1973 Ex: 8.660000","Age: 77 ex_fr_female$Type: Observed Year: 1974 Ex: 8.840000","Age: 77 ex_fr_female$Type: Observed Year: 1975 Ex: 8.830000","Age: 77 ex_fr_female$Type: Observed Year: 1976 Ex: 8.920000","Age: 77 ex_fr_female$Type: Observed Year: 1977 Ex: 9.310000","Age: 77 ex_fr_female$Type: Observed Year: 1978 Ex: 9.260000","Age: 77 ex_fr_female$Type: Observed Year: 1979 Ex: 9.430000","Age: 77 ex_fr_female$Type: Observed Year: 1980 Ex: 9.440000","Age: 77 ex_fr_female$Type: Observed Year: 1981 Ex: 9.380000","Age: 77 ex_fr_female$Type: Observed Year: 1982 Ex: 9.640000","Age: 77 ex_fr_female$Type: Observed Year: 1983 Ex: 9.480000","Age: 77 ex_fr_female$Type: Observed Year: 1984 Ex: 9.830000","Age: 77 ex_fr_female$Type: Observed Year: 1985 Ex: 9.780000","Age: 77 ex_fr_female$Type: Observed Year: 1986 Ex: 9.940000","Age: 77 ex_fr_female$Type: Observed Year: 1987 Ex: 10.330000","Age: 77 ex_fr_female$Type: Observed Year: 1988 Ex: 10.470000","Age: 77 ex_fr_female$Type: Observed Year: 1989 Ex: 10.520000","Age: 77 ex_fr_female$Type: Observed Year: 1990 Ex: 10.650000","Age: 77 ex_fr_female$Type: Observed Year: 1991 Ex: 10.840000","Age: 77 ex_fr_female$Type: Observed Year: 1992 Ex: 11.040000","Age: 77 ex_fr_female$Type: Observed Year: 1993 Ex: 10.990000","Age: 77 ex_fr_female$Type: Observed Year: 1994 Ex: 11.320000","Age: 77 ex_fr_female$Type: Observed Year: 1995 Ex: 11.260000","Age: 77 ex_fr_female$Type: Observed Year: 1996 Ex: 11.300000","Age: 77 ex_fr_female$Type: Observed Year: 1997 Ex: 11.410000","Age: 77 ex_fr_female$Type: Observed Year: 1998 Ex: 11.460000","Age: 77 ex_fr_female$Type: Observed Year: 1999 Ex: 11.450000","Age: 77 ex_fr_female$Type: Observed Year: 2000 Ex: 11.640000","Age: 77 ex_fr_female$Type: Observed Year: 2001 Ex: 11.770000","Age: 77 ex_fr_female$Type: Observed Year: 2002 Ex: 11.770000","Age: 77 ex_fr_female$Type: Observed Year: 2003 Ex: 11.610000","Age: 77 ex_fr_female$Type: Observed Year: 2004 Ex: 12.380000","Age: 77 ex_fr_female$Type: Observed Year: 2005 Ex: 12.210000","Age: 77 ex_fr_female$Type: Observed Year: 2006 Ex: 12.540000","Age: 77 ex_fr_female$Type: Observed Year: 2007 Ex: 12.620000","Age: 77 ex_fr_female$Type: Observed Year: 2008 Ex: 12.600000","Age: 77 ex_fr_female$Type: Observed Year: 2009 Ex: 12.680000","Age: 77 ex_fr_female$Type: Observed Year: 2010 Ex: 12.810000","Age: 77 ex_fr_female$Type: Observed Year: 2011 Ex: 13.060000","Age: 77 ex_fr_female$Type: Observed Year: 2012 Ex: 12.860000","Age: 77 ex_fr_female$Type: Observed Year: 2013 Ex: 13.050000","Age: 77 ex_fr_female$Type: Observed Year: 2014 Ex: 13.370000","Age: 77 ex_fr_female$Type: Observed Year: 2015 Ex: 13.100000","Age: 77 ex_fr_female$Type: Observed Year: 2016 Ex: 13.240000","Age: 77 ex_fr_female$Type: Observed Year: 2017 Ex: 13.220000"],"frame":"77","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[6.25092461903786,6.39797049585774,6.49855572032356,6.49785494213654,6.09324502528852,6.6786427962306,6.52251948794964,6.56591340077304,6.75101637549511,6.61499374042543,6.1834698972637,6.57627026525776,6.38023205956676,6.10582602730972,6.17786151552445,6.18406865047999,5.85301563768528,6.53367143300621,6.27937091133119,6.4212214503101,6.47582812500403,5.66561234960576,6.28948209749802,6.64860008159369,6.2278829698325,6.51017551470873,6.17440613052627,6.27022957061198,6.34768697617089,6.50188212019821,6.32112296320879,5.80626089360208,6.04078043989307,5.91012305135419,6.35465307437689,6.16187266991265,6.2245954386556,5.9414672545859,5.70213161101565,5.59208273656472,6.23155228239151,6.10908823807258,5.79160136573945,5.91177167555749,6.3228743649799,6.23685679327373,6.31286916602599,6.28338994969377,6.07293017677397,5.9868122873962,6.1647350614725,6.08408176087224,5.96515548591408,6.00816252283504,5.47312768270736,5.42579103634159,6.66555176584074,6.19972203345446,6.45337409095743,6.0186772385376,6.17105593535641,6.34465397174751,6.02279062505486,5.89388763298652,6.10672278979628,6.42707566304399,6.48066049099732,6.4042484872205,6.43352183279568,6.48931781568903,6.48077522223005,6.5839994683704,6.33625733331474,6.56811558038206,6.05691606268308,5.84650571012492,5.76429933909789,5.89421464888768,6.16179246572764,5.80319696358911,6.37239631760561,6.47893361932734,6.07224122209966,6.12908226160194,5.80276075699596,6.15923004650742,6.32962842447367,6.26342790029594,6.18210409494873,6.1154741318818,6.1428634772742,5.92514899101907,6.32538892477499,6.00322432676503,6.42060713468287,5.97015147731156,6.54366674108223,6.50745608334686,6.07971996739513,6.18790620871764,6.18029635890338,6.00175054477203,6.17124243882177,6.1429296588905,6.65786084723476,6.57638219400648,6.29682818614146,6.72464511342959,6.57775452551458,6.40582073637728,6.46349519293378,6.48194399744788,6.71638129924216,6.12314537101471,7.10113681438024,6.51012349773045,6.81816784730054,6.76748188223966,7.16574107312294,6.87040581827154,6.98431264128535,7.18241871951023,6.98173182032057,6.847354062275,5.95545517925676,6.59710565376429,6.5698316567148,6.71431363808431,6.2091886502265,6.75676667747388,7.50836595181647,7.65987382404772,8.09229823507353,7.24457449899946,7.74487708934888,7.32378506719781,7.83437902922234,7.3761232129087,8.00037482237958,7.88615672363953,7.67087889255164,8.00753837988295,8.23497599000184,8.2771222203223,8.19793334304421,8.60017379570149,8.16779705373999,8.1120864443173,8.69986190849271,8.50918048681863,8.83430985229431,8.74364343651472,8.68942897412613,8.72622181589833,8.96107596013498,8.88609549718735,9.10125831914306,8.98881799766938,9.16234909520863,9.1554507963713,9.24782526393213,9.62880238727554,9.57727116848124,9.7465727633585,9.75635240805748,9.6950803500828,9.95374948147302,9.80017341637564,10.1443445678838,10.0939700143895,10.2528672287684,10.6360318146526,10.7806983231154,10.8293869296482,10.9574407727973,11.1477824361939,11.3427217712912,11.2942135609649,11.6196978977872,11.5591058606993,11.5991907417183,11.7145066533813,11.7606044201527,11.7458599098512,11.9378083214556,12.071926158702,12.0634212482092,11.904345511307,12.6717276371637,12.5031931785889,12.8373961751112,12.9119678618312,12.8958757917191,12.9689247525538,13.1025462206794,13.3506661761196,13.1463376646661,13.3432793898414,13.6552070278089,13.3840079987661,13.5327155302836,13.5123124619767],"text":["Age: 77 ex_fr_female$Type: Predicted Year: 1816 Ex: 6.250925","Age: 77 ex_fr_female$Type: Predicted Year: 1817 Ex: 6.397970","Age: 77 ex_fr_female$Type: Predicted Year: 1818 Ex: 6.498556","Age: 77 ex_fr_female$Type: Predicted Year: 1819 Ex: 6.497855","Age: 77 ex_fr_female$Type: Predicted Year: 1820 Ex: 6.093245","Age: 77 ex_fr_female$Type: Predicted Year: 1821 Ex: 6.678643","Age: 77 ex_fr_female$Type: Predicted Year: 1822 Ex: 6.522519","Age: 77 ex_fr_female$Type: Predicted Year: 1823 Ex: 6.565913","Age: 77 ex_fr_female$Type: Predicted Year: 1824 Ex: 6.751016","Age: 77 ex_fr_female$Type: Predicted Year: 1825 Ex: 6.614994","Age: 77 ex_fr_female$Type: Predicted Year: 1826 Ex: 6.183470","Age: 77 ex_fr_female$Type: Predicted Year: 1827 Ex: 6.576270","Age: 77 ex_fr_female$Type: Predicted Year: 1828 Ex: 6.380232","Age: 77 ex_fr_female$Type: Predicted Year: 1829 Ex: 6.105826","Age: 77 ex_fr_female$Type: Predicted Year: 1830 Ex: 6.177862","Age: 77 ex_fr_female$Type: Predicted Year: 1831 Ex: 6.184069","Age: 77 ex_fr_female$Type: Predicted Year: 1832 Ex: 5.853016","Age: 77 ex_fr_female$Type: Predicted Year: 1833 Ex: 6.533671","Age: 77 ex_fr_female$Type: Predicted Year: 1834 Ex: 6.279371","Age: 77 ex_fr_female$Type: Predicted Year: 1835 Ex: 6.421221","Age: 77 ex_fr_female$Type: Predicted Year: 1836 Ex: 6.475828","Age: 77 ex_fr_female$Type: Predicted Year: 1837 Ex: 5.665612","Age: 77 ex_fr_female$Type: Predicted Year: 1838 Ex: 6.289482","Age: 77 ex_fr_female$Type: Predicted Year: 1839 Ex: 6.648600","Age: 77 ex_fr_female$Type: Predicted Year: 1840 Ex: 6.227883","Age: 77 ex_fr_female$Type: Predicted Year: 1841 Ex: 6.510176","Age: 77 ex_fr_female$Type: Predicted Year: 1842 Ex: 6.174406","Age: 77 ex_fr_female$Type: Predicted Year: 1843 Ex: 6.270230","Age: 77 ex_fr_female$Type: Predicted Year: 1844 Ex: 6.347687","Age: 77 ex_fr_female$Type: Predicted Year: 1845 Ex: 6.501882","Age: 77 ex_fr_female$Type: Predicted Year: 1846 Ex: 6.321123","Age: 77 ex_fr_female$Type: Predicted Year: 1847 Ex: 5.806261","Age: 77 ex_fr_female$Type: Predicted Year: 1848 Ex: 6.040780","Age: 77 ex_fr_female$Type: Predicted Year: 1849 Ex: 5.910123","Age: 77 ex_fr_female$Type: Predicted Year: 1850 Ex: 6.354653","Age: 77 ex_fr_female$Type: Predicted Year: 1851 Ex: 6.161873","Age: 77 ex_fr_female$Type: Predicted Year: 1852 Ex: 6.224595","Age: 77 ex_fr_female$Type: Predicted Year: 1853 Ex: 5.941467","Age: 77 ex_fr_female$Type: Predicted Year: 1854 Ex: 5.702132","Age: 77 ex_fr_female$Type: Predicted Year: 1855 Ex: 5.592083","Age: 77 ex_fr_female$Type: Predicted Year: 1856 Ex: 6.231552","Age: 77 ex_fr_female$Type: Predicted Year: 1857 Ex: 6.109088","Age: 77 ex_fr_female$Type: Predicted Year: 1858 Ex: 5.791601","Age: 77 ex_fr_female$Type: Predicted Year: 1859 Ex: 5.911772","Age: 77 ex_fr_female$Type: Predicted Year: 1860 Ex: 6.322874","Age: 77 ex_fr_female$Type: Predicted Year: 1861 Ex: 6.236857","Age: 77 ex_fr_female$Type: Predicted Year: 1862 Ex: 6.312869","Age: 77 ex_fr_female$Type: Predicted Year: 1863 Ex: 6.283390","Age: 77 ex_fr_female$Type: Predicted Year: 1864 Ex: 6.072930","Age: 77 ex_fr_female$Type: Predicted Year: 1865 Ex: 5.986812","Age: 77 ex_fr_female$Type: Predicted Year: 1866 Ex: 6.164735","Age: 77 ex_fr_female$Type: Predicted Year: 1867 Ex: 6.084082","Age: 77 ex_fr_female$Type: Predicted Year: 1868 Ex: 5.965155","Age: 77 ex_fr_female$Type: Predicted Year: 1869 Ex: 6.008163","Age: 77 ex_fr_female$Type: Predicted Year: 1870 Ex: 5.473128","Age: 77 ex_fr_female$Type: Predicted Year: 1871 Ex: 5.425791","Age: 77 ex_fr_female$Type: Predicted Year: 1872 Ex: 6.665552","Age: 77 ex_fr_female$Type: Predicted Year: 1873 Ex: 6.199722","Age: 77 ex_fr_female$Type: Predicted Year: 1874 Ex: 6.453374","Age: 77 ex_fr_female$Type: Predicted Year: 1875 Ex: 6.018677","Age: 77 ex_fr_female$Type: Predicted Year: 1876 Ex: 6.171056","Age: 77 ex_fr_female$Type: Predicted Year: 1877 Ex: 6.344654","Age: 77 ex_fr_female$Type: Predicted Year: 1878 Ex: 6.022791","Age: 77 ex_fr_female$Type: Predicted Year: 1879 Ex: 5.893888","Age: 77 ex_fr_female$Type: Predicted Year: 1880 Ex: 6.106723","Age: 77 ex_fr_female$Type: Predicted Year: 1881 Ex: 6.427076","Age: 77 ex_fr_female$Type: Predicted Year: 1882 Ex: 6.480660","Age: 77 ex_fr_female$Type: Predicted Year: 1883 Ex: 6.404248","Age: 77 ex_fr_female$Type: Predicted Year: 1884 Ex: 6.433522","Age: 77 ex_fr_female$Type: Predicted Year: 1885 Ex: 6.489318","Age: 77 ex_fr_female$Type: Predicted Year: 1886 Ex: 6.480775","Age: 77 ex_fr_female$Type: Predicted Year: 1887 Ex: 6.583999","Age: 77 ex_fr_female$Type: Predicted Year: 1888 Ex: 6.336257","Age: 77 ex_fr_female$Type: Predicted Year: 1889 Ex: 6.568116","Age: 77 ex_fr_female$Type: Predicted Year: 1890 Ex: 6.056916","Age: 77 ex_fr_female$Type: Predicted Year: 1891 Ex: 5.846506","Age: 77 ex_fr_female$Type: Predicted Year: 1892 Ex: 5.764299","Age: 77 ex_fr_female$Type: Predicted Year: 1893 Ex: 5.894215","Age: 77 ex_fr_female$Type: Predicted Year: 1894 Ex: 6.161792","Age: 77 ex_fr_female$Type: Predicted Year: 1895 Ex: 5.803197","Age: 77 ex_fr_female$Type: Predicted Year: 1896 Ex: 6.372396","Age: 77 ex_fr_female$Type: Predicted Year: 1897 Ex: 6.478934","Age: 77 ex_fr_female$Type: Predicted Year: 1898 Ex: 6.072241","Age: 77 ex_fr_female$Type: Predicted Year: 1899 Ex: 6.129082","Age: 77 ex_fr_female$Type: Predicted Year: 1900 Ex: 5.802761","Age: 77 ex_fr_female$Type: Predicted Year: 1901 Ex: 6.159230","Age: 77 ex_fr_female$Type: Predicted Year: 1902 Ex: 6.329628","Age: 77 ex_fr_female$Type: Predicted Year: 1903 Ex: 6.263428","Age: 77 ex_fr_female$Type: Predicted Year: 1904 Ex: 6.182104","Age: 77 ex_fr_female$Type: Predicted Year: 1905 Ex: 6.115474","Age: 77 ex_fr_female$Type: Predicted Year: 1906 Ex: 6.142863","Age: 77 ex_fr_female$Type: Predicted Year: 1907 Ex: 5.925149","Age: 77 ex_fr_female$Type: Predicted Year: 1908 Ex: 6.325389","Age: 77 ex_fr_female$Type: Predicted Year: 1909 Ex: 6.003224","Age: 77 ex_fr_female$Type: Predicted Year: 1910 Ex: 6.420607","Age: 77 ex_fr_female$Type: Predicted Year: 1911 Ex: 5.970151","Age: 77 ex_fr_female$Type: Predicted Year: 1912 Ex: 6.543667","Age: 77 ex_fr_female$Type: Predicted Year: 1913 Ex: 6.507456","Age: 77 ex_fr_female$Type: Predicted Year: 1914 Ex: 6.079720","Age: 77 ex_fr_female$Type: Predicted Year: 1915 Ex: 6.187906","Age: 77 ex_fr_female$Type: Predicted Year: 1916 Ex: 6.180296","Age: 77 ex_fr_female$Type: Predicted Year: 1917 Ex: 6.001751","Age: 77 ex_fr_female$Type: Predicted Year: 1918 Ex: 6.171242","Age: 77 ex_fr_female$Type: Predicted Year: 1919 Ex: 6.142930","Age: 77 ex_fr_female$Type: Predicted Year: 1920 Ex: 6.657861","Age: 77 ex_fr_female$Type: Predicted Year: 1921 Ex: 6.576382","Age: 77 ex_fr_female$Type: Predicted Year: 1922 Ex: 6.296828","Age: 77 ex_fr_female$Type: Predicted Year: 1923 Ex: 6.724645","Age: 77 ex_fr_female$Type: Predicted Year: 1924 Ex: 6.577755","Age: 77 ex_fr_female$Type: Predicted Year: 1925 Ex: 6.405821","Age: 77 ex_fr_female$Type: Predicted Year: 1926 Ex: 6.463495","Age: 77 ex_fr_female$Type: Predicted Year: 1927 Ex: 6.481944","Age: 77 ex_fr_female$Type: Predicted Year: 1928 Ex: 6.716381","Age: 77 ex_fr_female$Type: Predicted Year: 1929 Ex: 6.123145","Age: 77 ex_fr_female$Type: Predicted Year: 1930 Ex: 7.101137","Age: 77 ex_fr_female$Type: Predicted Year: 1931 Ex: 6.510123","Age: 77 ex_fr_female$Type: Predicted Year: 1932 Ex: 6.818168","Age: 77 ex_fr_female$Type: Predicted Year: 1933 Ex: 6.767482","Age: 77 ex_fr_female$Type: Predicted Year: 1934 Ex: 7.165741","Age: 77 ex_fr_female$Type: Predicted Year: 1935 Ex: 6.870406","Age: 77 ex_fr_female$Type: Predicted Year: 1936 Ex: 6.984313","Age: 77 ex_fr_female$Type: Predicted Year: 1937 Ex: 7.182419","Age: 77 ex_fr_female$Type: Predicted Year: 1938 Ex: 6.981732","Age: 77 ex_fr_female$Type: Predicted Year: 1939 Ex: 6.847354","Age: 77 ex_fr_female$Type: Predicted Year: 1940 Ex: 5.955455","Age: 77 ex_fr_female$Type: Predicted Year: 1941 Ex: 6.597106","Age: 77 ex_fr_female$Type: Predicted Year: 1942 Ex: 6.569832","Age: 77 ex_fr_female$Type: Predicted Year: 1943 Ex: 6.714314","Age: 77 ex_fr_female$Type: Predicted Year: 1944 Ex: 6.209189","Age: 77 ex_fr_female$Type: Predicted Year: 1945 Ex: 6.756767","Age: 77 ex_fr_female$Type: Predicted Year: 1946 Ex: 7.508366","Age: 77 ex_fr_female$Type: Predicted Year: 1947 Ex: 7.659874","Age: 77 ex_fr_female$Type: Predicted Year: 1948 Ex: 8.092298","Age: 77 ex_fr_female$Type: Predicted Year: 1949 Ex: 7.244574","Age: 77 ex_fr_female$Type: Predicted Year: 1950 Ex: 7.744877","Age: 77 ex_fr_female$Type: Predicted Year: 1951 Ex: 7.323785","Age: 77 ex_fr_female$Type: Predicted Year: 1952 Ex: 7.834379","Age: 77 ex_fr_female$Type: Predicted Year: 1953 Ex: 7.376123","Age: 77 ex_fr_female$Type: Predicted Year: 1954 Ex: 8.000375","Age: 77 ex_fr_female$Type: Predicted Year: 1955 Ex: 7.886157","Age: 77 ex_fr_female$Type: Predicted Year: 1956 Ex: 7.670879","Age: 77 ex_fr_female$Type: Predicted Year: 1957 Ex: 8.007538","Age: 77 ex_fr_female$Type: Predicted Year: 1958 Ex: 8.234976","Age: 77 ex_fr_female$Type: Predicted Year: 1959 Ex: 8.277122","Age: 77 ex_fr_female$Type: Predicted Year: 1960 Ex: 8.197933","Age: 77 ex_fr_female$Type: Predicted Year: 1961 Ex: 8.600174","Age: 77 ex_fr_female$Type: Predicted Year: 1962 Ex: 8.167797","Age: 77 ex_fr_female$Type: Predicted Year: 1963 Ex: 8.112086","Age: 77 ex_fr_female$Type: Predicted Year: 1964 Ex: 8.699862","Age: 77 ex_fr_female$Type: Predicted Year: 1965 Ex: 8.509180","Age: 77 ex_fr_female$Type: Predicted Year: 1966 Ex: 8.834310","Age: 77 ex_fr_female$Type: Predicted Year: 1967 Ex: 8.743643","Age: 77 ex_fr_female$Type: Predicted Year: 1968 Ex: 8.689429","Age: 77 ex_fr_female$Type: Predicted Year: 1969 Ex: 8.726222","Age: 77 ex_fr_female$Type: Predicted Year: 1970 Ex: 8.961076","Age: 77 ex_fr_female$Type: Predicted Year: 1971 Ex: 8.886095","Age: 77 ex_fr_female$Type: Predicted Year: 1972 Ex: 9.101258","Age: 77 ex_fr_female$Type: Predicted Year: 1973 Ex: 8.988818","Age: 77 ex_fr_female$Type: Predicted Year: 1974 Ex: 9.162349","Age: 77 ex_fr_female$Type: Predicted Year: 1975 Ex: 9.155451","Age: 77 ex_fr_female$Type: Predicted Year: 1976 Ex: 9.247825","Age: 77 ex_fr_female$Type: Predicted Year: 1977 Ex: 9.628802","Age: 77 ex_fr_female$Type: Predicted Year: 1978 Ex: 9.577271","Age: 77 ex_fr_female$Type: Predicted Year: 1979 Ex: 9.746573","Age: 77 ex_fr_female$Type: Predicted Year: 1980 Ex: 9.756352","Age: 77 ex_fr_female$Type: Predicted Year: 1981 Ex: 9.695080","Age: 77 ex_fr_female$Type: Predicted Year: 1982 Ex: 9.953749","Age: 77 ex_fr_female$Type: Predicted Year: 1983 Ex: 9.800173","Age: 77 ex_fr_female$Type: Predicted Year: 1984 Ex: 10.144345","Age: 77 ex_fr_female$Type: Predicted Year: 1985 Ex: 10.093970","Age: 77 ex_fr_female$Type: Predicted Year: 1986 Ex: 10.252867","Age: 77 ex_fr_female$Type: Predicted Year: 1987 Ex: 10.636032","Age: 77 ex_fr_female$Type: Predicted Year: 1988 Ex: 10.780698","Age: 77 ex_fr_female$Type: Predicted Year: 1989 Ex: 10.829387","Age: 77 ex_fr_female$Type: Predicted Year: 1990 Ex: 10.957441","Age: 77 ex_fr_female$Type: Predicted Year: 1991 Ex: 11.147782","Age: 77 ex_fr_female$Type: Predicted Year: 1992 Ex: 11.342722","Age: 77 ex_fr_female$Type: Predicted Year: 1993 Ex: 11.294214","Age: 77 ex_fr_female$Type: Predicted Year: 1994 Ex: 11.619698","Age: 77 ex_fr_female$Type: Predicted Year: 1995 Ex: 11.559106","Age: 77 ex_fr_female$Type: Predicted Year: 1996 Ex: 11.599191","Age: 77 ex_fr_female$Type: Predicted Year: 1997 Ex: 11.714507","Age: 77 ex_fr_female$Type: Predicted Year: 1998 Ex: 11.760604","Age: 77 ex_fr_female$Type: Predicted Year: 1999 Ex: 11.745860","Age: 77 ex_fr_female$Type: Predicted Year: 2000 Ex: 11.937808","Age: 77 ex_fr_female$Type: Predicted Year: 2001 Ex: 12.071926","Age: 77 ex_fr_female$Type: Predicted Year: 2002 Ex: 12.063421","Age: 77 ex_fr_female$Type: Predicted Year: 2003 Ex: 11.904346","Age: 77 ex_fr_female$Type: Predicted Year: 2004 Ex: 12.671728","Age: 77 ex_fr_female$Type: Predicted Year: 2005 Ex: 12.503193","Age: 77 ex_fr_female$Type: Predicted Year: 2006 Ex: 12.837396","Age: 77 ex_fr_female$Type: Predicted Year: 2007 Ex: 12.911968","Age: 77 ex_fr_female$Type: Predicted Year: 2008 Ex: 12.895876","Age: 77 ex_fr_female$Type: Predicted Year: 2009 Ex: 12.968925","Age: 77 ex_fr_female$Type: Predicted Year: 2010 Ex: 13.102546","Age: 77 ex_fr_female$Type: Predicted Year: 2011 Ex: 13.350666","Age: 77 ex_fr_female$Type: Predicted Year: 2012 Ex: 13.146338","Age: 77 ex_fr_female$Type: Predicted Year: 2013 Ex: 13.343279","Age: 77 ex_fr_female$Type: Predicted Year: 2014 Ex: 13.655207","Age: 77 ex_fr_female$Type: Predicted Year: 2015 Ex: 13.384008","Age: 77 ex_fr_female$Type: Predicted Year: 2016 Ex: 13.532716","Age: 77 ex_fr_female$Type: Predicted Year: 2017 Ex: 13.512312"],"frame":"77","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"78","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[5.52,5.66,5.79,5.77,5.35,5.92,5.77,5.81,5.99,5.85,5.45,5.84,5.65,5.38,5.45,5.46,5.17,5.82,5.55,5.69,5.74,4.96,5.55,5.91,5.5,5.75,5.44,5.53,5.59,5.76,5.59,5.08,5.31,5.2,5.62,5.42,5.48,5.2,5,4.89,5.5,5.37,5.06,5.18,5.59,5.5,5.59,5.55,5.35,5.3,5.46,5.37,5.26,5.3,4.77,4.72,5.91,5.46,5.74,5.31,5.45,5.62,5.3,5.17,5.36,5.66,5.7,5.64,5.67,5.74,5.73,5.83,5.59,5.83,5.36,5.16,5.07,5.2,5.46,5.12,5.66,5.75,5.32,5.38,5.09,5.44,5.57,5.5,5.44,5.4,5.4,5.2,5.59,5.32,5.7,5.26,5.83,5.77,5.36,5.46,5.44,5.25,5.41,5.41,5.91,5.85,5.57,5.97,5.85,5.65,5.74,5.75,5.95,5.38,6.35,5.77,6.05,6,6.39,6.13,6.24,6.43,6.22,6.1,5.24,5.85,5.81,5.96,5.48,5.98,6.71,6.85,7.27,6.44,6.94,6.53,7.02,6.57,7.18,7.07,6.85,7.18,7.39,7.43,7.35,7.76,7.32,7.27,7.84,7.64,7.95,7.87,7.82,7.88,8.08,8.02,8.23,8.11,8.28,8.27,8.36,8.72,8.66,8.83,8.84,8.77,9.03,8.88,9.21,9.15,9.31,9.69,9.82,9.86,9.99,10.17,10.36,10.31,10.63,10.57,10.61,10.72,10.76,10.75,10.93,11.06,11.05,10.88,11.64,11.48,11.81,11.87,11.86,11.92,12.06,12.3,12.09,12.29,12.6,12.33,12.48,12.46],"text":["Age: 78 ex_fr_female$Type: Observed Year: 1816 Ex: 5.520000","Age: 78 ex_fr_female$Type: Observed Year: 1817 Ex: 5.660000","Age: 78 ex_fr_female$Type: Observed Year: 1818 Ex: 5.790000","Age: 78 ex_fr_female$Type: Observed Year: 1819 Ex: 5.770000","Age: 78 ex_fr_female$Type: Observed Year: 1820 Ex: 5.350000","Age: 78 ex_fr_female$Type: Observed Year: 1821 Ex: 5.920000","Age: 78 ex_fr_female$Type: Observed Year: 1822 Ex: 5.770000","Age: 78 ex_fr_female$Type: Observed Year: 1823 Ex: 5.810000","Age: 78 ex_fr_female$Type: Observed Year: 1824 Ex: 5.990000","Age: 78 ex_fr_female$Type: Observed Year: 1825 Ex: 5.850000","Age: 78 ex_fr_female$Type: Observed Year: 1826 Ex: 5.450000","Age: 78 ex_fr_female$Type: Observed Year: 1827 Ex: 5.840000","Age: 78 ex_fr_female$Type: Observed Year: 1828 Ex: 5.650000","Age: 78 ex_fr_female$Type: Observed Year: 1829 Ex: 5.380000","Age: 78 ex_fr_female$Type: Observed Year: 1830 Ex: 5.450000","Age: 78 ex_fr_female$Type: Observed Year: 1831 Ex: 5.460000","Age: 78 ex_fr_female$Type: Observed Year: 1832 Ex: 5.170000","Age: 78 ex_fr_female$Type: Observed Year: 1833 Ex: 5.820000","Age: 78 ex_fr_female$Type: Observed Year: 1834 Ex: 5.550000","Age: 78 ex_fr_female$Type: Observed Year: 1835 Ex: 5.690000","Age: 78 ex_fr_female$Type: Observed Year: 1836 Ex: 5.740000","Age: 78 ex_fr_female$Type: Observed Year: 1837 Ex: 4.960000","Age: 78 ex_fr_female$Type: Observed Year: 1838 Ex: 5.550000","Age: 78 ex_fr_female$Type: Observed Year: 1839 Ex: 5.910000","Age: 78 ex_fr_female$Type: Observed Year: 1840 Ex: 5.500000","Age: 78 ex_fr_female$Type: Observed Year: 1841 Ex: 5.750000","Age: 78 ex_fr_female$Type: Observed Year: 1842 Ex: 5.440000","Age: 78 ex_fr_female$Type: Observed Year: 1843 Ex: 5.530000","Age: 78 ex_fr_female$Type: Observed Year: 1844 Ex: 5.590000","Age: 78 ex_fr_female$Type: Observed Year: 1845 Ex: 5.760000","Age: 78 ex_fr_female$Type: Observed Year: 1846 Ex: 5.590000","Age: 78 ex_fr_female$Type: Observed Year: 1847 Ex: 5.080000","Age: 78 ex_fr_female$Type: Observed Year: 1848 Ex: 5.310000","Age: 78 ex_fr_female$Type: Observed Year: 1849 Ex: 5.200000","Age: 78 ex_fr_female$Type: Observed Year: 1850 Ex: 5.620000","Age: 78 ex_fr_female$Type: Observed Year: 1851 Ex: 5.420000","Age: 78 ex_fr_female$Type: Observed Year: 1852 Ex: 5.480000","Age: 78 ex_fr_female$Type: Observed Year: 1853 Ex: 5.200000","Age: 78 ex_fr_female$Type: Observed Year: 1854 Ex: 5.000000","Age: 78 ex_fr_female$Type: Observed Year: 1855 Ex: 4.890000","Age: 78 ex_fr_female$Type: Observed Year: 1856 Ex: 5.500000","Age: 78 ex_fr_female$Type: Observed Year: 1857 Ex: 5.370000","Age: 78 ex_fr_female$Type: Observed Year: 1858 Ex: 5.060000","Age: 78 ex_fr_female$Type: Observed Year: 1859 Ex: 5.180000","Age: 78 ex_fr_female$Type: Observed Year: 1860 Ex: 5.590000","Age: 78 ex_fr_female$Type: Observed Year: 1861 Ex: 5.500000","Age: 78 ex_fr_female$Type: Observed Year: 1862 Ex: 5.590000","Age: 78 ex_fr_female$Type: Observed Year: 1863 Ex: 5.550000","Age: 78 ex_fr_female$Type: Observed Year: 1864 Ex: 5.350000","Age: 78 ex_fr_female$Type: Observed Year: 1865 Ex: 5.300000","Age: 78 ex_fr_female$Type: Observed Year: 1866 Ex: 5.460000","Age: 78 ex_fr_female$Type: Observed Year: 1867 Ex: 5.370000","Age: 78 ex_fr_female$Type: Observed Year: 1868 Ex: 5.260000","Age: 78 ex_fr_female$Type: Observed Year: 1869 Ex: 5.300000","Age: 78 ex_fr_female$Type: Observed Year: 1870 Ex: 4.770000","Age: 78 ex_fr_female$Type: Observed Year: 1871 Ex: 4.720000","Age: 78 ex_fr_female$Type: Observed Year: 1872 Ex: 5.910000","Age: 78 ex_fr_female$Type: Observed Year: 1873 Ex: 5.460000","Age: 78 ex_fr_female$Type: Observed Year: 1874 Ex: 5.740000","Age: 78 ex_fr_female$Type: Observed Year: 1875 Ex: 5.310000","Age: 78 ex_fr_female$Type: Observed Year: 1876 Ex: 5.450000","Age: 78 ex_fr_female$Type: Observed Year: 1877 Ex: 5.620000","Age: 78 ex_fr_female$Type: Observed Year: 1878 Ex: 5.300000","Age: 78 ex_fr_female$Type: Observed Year: 1879 Ex: 5.170000","Age: 78 ex_fr_female$Type: Observed Year: 1880 Ex: 5.360000","Age: 78 ex_fr_female$Type: Observed Year: 1881 Ex: 5.660000","Age: 78 ex_fr_female$Type: Observed Year: 1882 Ex: 5.700000","Age: 78 ex_fr_female$Type: Observed Year: 1883 Ex: 5.640000","Age: 78 ex_fr_female$Type: Observed Year: 1884 Ex: 5.670000","Age: 78 ex_fr_female$Type: Observed Year: 1885 Ex: 5.740000","Age: 78 ex_fr_female$Type: Observed Year: 1886 Ex: 5.730000","Age: 78 ex_fr_female$Type: Observed Year: 1887 Ex: 5.830000","Age: 78 ex_fr_female$Type: Observed Year: 1888 Ex: 5.590000","Age: 78 ex_fr_female$Type: Observed Year: 1889 Ex: 5.830000","Age: 78 ex_fr_female$Type: Observed Year: 1890 Ex: 5.360000","Age: 78 ex_fr_female$Type: Observed Year: 1891 Ex: 5.160000","Age: 78 ex_fr_female$Type: Observed Year: 1892 Ex: 5.070000","Age: 78 ex_fr_female$Type: Observed Year: 1893 Ex: 5.200000","Age: 78 ex_fr_female$Type: Observed Year: 1894 Ex: 5.460000","Age: 78 ex_fr_female$Type: Observed Year: 1895 Ex: 5.120000","Age: 78 ex_fr_female$Type: Observed Year: 1896 Ex: 5.660000","Age: 78 ex_fr_female$Type: Observed Year: 1897 Ex: 5.750000","Age: 78 ex_fr_female$Type: Observed Year: 1898 Ex: 5.320000","Age: 78 ex_fr_female$Type: Observed Year: 1899 Ex: 5.380000","Age: 78 ex_fr_female$Type: Observed Year: 1900 Ex: 5.090000","Age: 78 ex_fr_female$Type: Observed Year: 1901 Ex: 5.440000","Age: 78 ex_fr_female$Type: Observed Year: 1902 Ex: 5.570000","Age: 78 ex_fr_female$Type: Observed Year: 1903 Ex: 5.500000","Age: 78 ex_fr_female$Type: Observed Year: 1904 Ex: 5.440000","Age: 78 ex_fr_female$Type: Observed Year: 1905 Ex: 5.400000","Age: 78 ex_fr_female$Type: Observed Year: 1906 Ex: 5.400000","Age: 78 ex_fr_female$Type: Observed Year: 1907 Ex: 5.200000","Age: 78 ex_fr_female$Type: Observed Year: 1908 Ex: 5.590000","Age: 78 ex_fr_female$Type: Observed Year: 1909 Ex: 5.320000","Age: 78 ex_fr_female$Type: Observed Year: 1910 Ex: 5.700000","Age: 78 ex_fr_female$Type: Observed Year: 1911 Ex: 5.260000","Age: 78 ex_fr_female$Type: Observed Year: 1912 Ex: 5.830000","Age: 78 ex_fr_female$Type: Observed Year: 1913 Ex: 5.770000","Age: 78 ex_fr_female$Type: Observed Year: 1914 Ex: 5.360000","Age: 78 ex_fr_female$Type: Observed Year: 1915 Ex: 5.460000","Age: 78 ex_fr_female$Type: Observed Year: 1916 Ex: 5.440000","Age: 78 ex_fr_female$Type: Observed Year: 1917 Ex: 5.250000","Age: 78 ex_fr_female$Type: Observed Year: 1918 Ex: 5.410000","Age: 78 ex_fr_female$Type: Observed Year: 1919 Ex: 5.410000","Age: 78 ex_fr_female$Type: Observed Year: 1920 Ex: 5.910000","Age: 78 ex_fr_female$Type: Observed Year: 1921 Ex: 5.850000","Age: 78 ex_fr_female$Type: Observed Year: 1922 Ex: 5.570000","Age: 78 ex_fr_female$Type: Observed Year: 1923 Ex: 5.970000","Age: 78 ex_fr_female$Type: Observed Year: 1924 Ex: 5.850000","Age: 78 ex_fr_female$Type: Observed Year: 1925 Ex: 5.650000","Age: 78 ex_fr_female$Type: Observed Year: 1926 Ex: 5.740000","Age: 78 ex_fr_female$Type: Observed Year: 1927 Ex: 5.750000","Age: 78 ex_fr_female$Type: Observed Year: 1928 Ex: 5.950000","Age: 78 ex_fr_female$Type: Observed Year: 1929 Ex: 5.380000","Age: 78 ex_fr_female$Type: Observed Year: 1930 Ex: 6.350000","Age: 78 ex_fr_female$Type: Observed Year: 1931 Ex: 5.770000","Age: 78 ex_fr_female$Type: Observed Year: 1932 Ex: 6.050000","Age: 78 ex_fr_female$Type: Observed Year: 1933 Ex: 6.000000","Age: 78 ex_fr_female$Type: Observed Year: 1934 Ex: 6.390000","Age: 78 ex_fr_female$Type: Observed Year: 1935 Ex: 6.130000","Age: 78 ex_fr_female$Type: Observed Year: 1936 Ex: 6.240000","Age: 78 ex_fr_female$Type: Observed Year: 1937 Ex: 6.430000","Age: 78 ex_fr_female$Type: Observed Year: 1938 Ex: 6.220000","Age: 78 ex_fr_female$Type: Observed Year: 1939 Ex: 6.100000","Age: 78 ex_fr_female$Type: Observed Year: 1940 Ex: 5.240000","Age: 78 ex_fr_female$Type: Observed Year: 1941 Ex: 5.850000","Age: 78 ex_fr_female$Type: Observed Year: 1942 Ex: 5.810000","Age: 78 ex_fr_female$Type: Observed Year: 1943 Ex: 5.960000","Age: 78 ex_fr_female$Type: Observed Year: 1944 Ex: 5.480000","Age: 78 ex_fr_female$Type: Observed Year: 1945 Ex: 5.980000","Age: 78 ex_fr_female$Type: Observed Year: 1946 Ex: 6.710000","Age: 78 ex_fr_female$Type: Observed Year: 1947 Ex: 6.850000","Age: 78 ex_fr_female$Type: Observed Year: 1948 Ex: 7.270000","Age: 78 ex_fr_female$Type: Observed Year: 1949 Ex: 6.440000","Age: 78 ex_fr_female$Type: Observed Year: 1950 Ex: 6.940000","Age: 78 ex_fr_female$Type: Observed Year: 1951 Ex: 6.530000","Age: 78 ex_fr_female$Type: Observed Year: 1952 Ex: 7.020000","Age: 78 ex_fr_female$Type: Observed Year: 1953 Ex: 6.570000","Age: 78 ex_fr_female$Type: Observed Year: 1954 Ex: 7.180000","Age: 78 ex_fr_female$Type: Observed Year: 1955 Ex: 7.070000","Age: 78 ex_fr_female$Type: Observed Year: 1956 Ex: 6.850000","Age: 78 ex_fr_female$Type: Observed Year: 1957 Ex: 7.180000","Age: 78 ex_fr_female$Type: Observed Year: 1958 Ex: 7.390000","Age: 78 ex_fr_female$Type: Observed Year: 1959 Ex: 7.430000","Age: 78 ex_fr_female$Type: Observed Year: 1960 Ex: 7.350000","Age: 78 ex_fr_female$Type: Observed Year: 1961 Ex: 7.760000","Age: 78 ex_fr_female$Type: Observed Year: 1962 Ex: 7.320000","Age: 78 ex_fr_female$Type: Observed Year: 1963 Ex: 7.270000","Age: 78 ex_fr_female$Type: Observed Year: 1964 Ex: 7.840000","Age: 78 ex_fr_female$Type: Observed Year: 1965 Ex: 7.640000","Age: 78 ex_fr_female$Type: Observed Year: 1966 Ex: 7.950000","Age: 78 ex_fr_female$Type: Observed Year: 1967 Ex: 7.870000","Age: 78 ex_fr_female$Type: Observed Year: 1968 Ex: 7.820000","Age: 78 ex_fr_female$Type: Observed Year: 1969 Ex: 7.880000","Age: 78 ex_fr_female$Type: Observed Year: 1970 Ex: 8.080000","Age: 78 ex_fr_female$Type: Observed Year: 1971 Ex: 8.020000","Age: 78 ex_fr_female$Type: Observed Year: 1972 Ex: 8.230000","Age: 78 ex_fr_female$Type: Observed Year: 1973 Ex: 8.110000","Age: 78 ex_fr_female$Type: Observed Year: 1974 Ex: 8.280000","Age: 78 ex_fr_female$Type: Observed Year: 1975 Ex: 8.270000","Age: 78 ex_fr_female$Type: Observed Year: 1976 Ex: 8.360000","Age: 78 ex_fr_female$Type: Observed Year: 1977 Ex: 8.720000","Age: 78 ex_fr_female$Type: Observed Year: 1978 Ex: 8.660000","Age: 78 ex_fr_female$Type: Observed Year: 1979 Ex: 8.830000","Age: 78 ex_fr_female$Type: Observed Year: 1980 Ex: 8.840000","Age: 78 ex_fr_female$Type: Observed Year: 1981 Ex: 8.770000","Age: 78 ex_fr_female$Type: Observed Year: 1982 Ex: 9.030000","Age: 78 ex_fr_female$Type: Observed Year: 1983 Ex: 8.880000","Age: 78 ex_fr_female$Type: Observed Year: 1984 Ex: 9.210000","Age: 78 ex_fr_female$Type: Observed Year: 1985 Ex: 9.150000","Age: 78 ex_fr_female$Type: Observed Year: 1986 Ex: 9.310000","Age: 78 ex_fr_female$Type: Observed Year: 1987 Ex: 9.690000","Age: 78 ex_fr_female$Type: Observed Year: 1988 Ex: 9.820000","Age: 78 ex_fr_female$Type: Observed Year: 1989 Ex: 9.860000","Age: 78 ex_fr_female$Type: Observed Year: 1990 Ex: 9.990000","Age: 78 ex_fr_female$Type: Observed Year: 1991 Ex: 10.170000","Age: 78 ex_fr_female$Type: Observed Year: 1992 Ex: 10.360000","Age: 78 ex_fr_female$Type: Observed Year: 1993 Ex: 10.310000","Age: 78 ex_fr_female$Type: Observed Year: 1994 Ex: 10.630000","Age: 78 ex_fr_female$Type: Observed Year: 1995 Ex: 10.570000","Age: 78 ex_fr_female$Type: Observed Year: 1996 Ex: 10.610000","Age: 78 ex_fr_female$Type: Observed Year: 1997 Ex: 10.720000","Age: 78 ex_fr_female$Type: Observed Year: 1998 Ex: 10.760000","Age: 78 ex_fr_female$Type: Observed Year: 1999 Ex: 10.750000","Age: 78 ex_fr_female$Type: Observed Year: 2000 Ex: 10.930000","Age: 78 ex_fr_female$Type: Observed Year: 2001 Ex: 11.060000","Age: 78 ex_fr_female$Type: Observed Year: 2002 Ex: 11.050000","Age: 78 ex_fr_female$Type: Observed Year: 2003 Ex: 10.880000","Age: 78 ex_fr_female$Type: Observed Year: 2004 Ex: 11.640000","Age: 78 ex_fr_female$Type: Observed Year: 2005 Ex: 11.480000","Age: 78 ex_fr_female$Type: Observed Year: 2006 Ex: 11.810000","Age: 78 ex_fr_female$Type: Observed Year: 2007 Ex: 11.870000","Age: 78 ex_fr_female$Type: Observed Year: 2008 Ex: 11.860000","Age: 78 ex_fr_female$Type: Observed Year: 2009 Ex: 11.920000","Age: 78 ex_fr_female$Type: Observed Year: 2010 Ex: 12.060000","Age: 78 ex_fr_female$Type: Observed Year: 2011 Ex: 12.300000","Age: 78 ex_fr_female$Type: Observed Year: 2012 Ex: 12.090000","Age: 78 ex_fr_female$Type: Observed Year: 2013 Ex: 12.290000","Age: 78 ex_fr_female$Type: Observed Year: 2014 Ex: 12.600000","Age: 78 ex_fr_female$Type: Observed Year: 2015 Ex: 12.330000","Age: 78 ex_fr_female$Type: Observed Year: 2016 Ex: 12.480000","Age: 78 ex_fr_female$Type: Observed Year: 2017 Ex: 12.460000"],"frame":"78","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[5.9420207633093,6.06999376977537,6.19216718046622,6.17389267765227,5.76017786416354,6.32663054021921,6.16962866134124,6.20886815655327,6.39580208698758,6.2536652880065,5.85484682062008,6.24550270546461,6.06351839714479,5.79115141274402,5.86253888425808,5.86221414018021,5.58218094796956,6.22715874926155,5.96026167193848,6.09219060469973,6.13858963406554,5.37496974947147,5.95619815906669,6.31246588015443,5.89686599390682,6.15248918141985,5.84681302393083,5.93124442428556,5.99239453470669,6.16345606004312,5.98497544165941,5.48599844445652,5.71584592581185,5.60720961072663,6.01886344091792,5.81433654811056,5.87507364879705,5.5950086124537,5.39918316585538,5.28448504130383,5.88166886116625,5.76093030644475,5.4570729375203,5.56874419632602,5.97763022426543,5.88674232395265,5.98006834969156,5.93938635390808,5.74031973027256,5.68700803003577,5.85579535512255,5.76090426223245,5.64689921755474,5.69589281445415,5.17072584276695,5.11235098931299,6.28844468518848,5.8445099951033,6.1218078891078,5.70043669141244,5.83778688896261,5.99912091631244,5.68858216836053,5.55591523480205,5.75120094476995,6.04329923881958,6.08586432619322,6.01293901876385,6.05323981329096,6.11824614380857,6.10615694706129,6.20530382222765,5.97340548056094,6.21312066763841,5.73957924620864,5.54491362985936,5.45782673017922,5.5871127578865,5.83518268069643,5.49811461239647,6.03855408020827,6.12793522756538,5.70397641736895,5.76336598905049,5.47970893874013,5.82533200534964,5.94760286124007,5.8871152818347,5.82553334729115,5.77648889683291,5.77567846151416,5.58368443993846,5.97185504000338,5.70327285844031,6.08133476402984,5.64141620502759,6.20769384352569,6.14927912580284,5.73996772170846,5.84241588206677,5.81819621668451,5.62426557806959,5.79024965465943,5.78072600008933,6.28228771616144,6.22462520888912,5.94742666780596,6.33759052055428,6.22102098254989,6.0182007557229,6.11168273945897,6.11838670102789,6.31764073571472,5.75575627835172,6.71281876754803,6.135180893804,6.41117305316386,6.3642536012886,6.75711435754036,6.49749399868497,6.6040791928398,6.78562885397102,6.5834848309719,6.46030483089438,5.60638688762204,6.21315089100211,6.17542240338021,6.32459999046874,5.84524061015028,6.34640961042953,7.06620776066157,7.20604778392462,7.6230039912567,6.79960028652332,7.28941930474289,6.88569911935505,7.36963639213108,6.92559523570442,7.53245179826993,7.41440874649596,7.20198900517962,7.5221937010449,7.73219365267479,7.77696626532286,7.69687125951865,8.09570755416554,7.66355587056458,7.61146648536398,8.17818577998415,7.98223679144564,8.28664549250388,8.21012641395026,8.15795471450702,8.21445203631924,8.41716797213747,8.35310545087023,8.5672656385266,8.4455997424608,8.61295300340858,8.60305390743063,8.689256854876,9.04886308371819,8.98935749159156,9.1581281011795,9.16379784372972,9.09358800591348,9.35350621057692,9.19760698231628,9.52805471591431,9.47397959581972,9.62295503940168,10.0038342275242,10.131500457663,10.1705305897508,10.2988162607562,10.4753732447604,10.6671472405253,10.6225263244484,10.9348983807802,10.8777086264163,10.9142665768923,11.0231706224,11.0656776804269,11.0551556864146,11.2305404076479,11.3645303178112,11.3526092245478,11.1806731851031,11.9398710043632,11.778056929816,12.1079282181562,12.1685414723196,12.1613571750015,12.2201861336436,12.3548288072057,12.5950750585502,12.3866026328659,12.5832292270911,12.8895976531417,12.6202567439537,12.7685059811334,12.7501187768443],"text":["Age: 78 ex_fr_female$Type: Predicted Year: 1816 Ex: 5.942021","Age: 78 ex_fr_female$Type: Predicted Year: 1817 Ex: 6.069994","Age: 78 ex_fr_female$Type: Predicted Year: 1818 Ex: 6.192167","Age: 78 ex_fr_female$Type: Predicted Year: 1819 Ex: 6.173893","Age: 78 ex_fr_female$Type: Predicted Year: 1820 Ex: 5.760178","Age: 78 ex_fr_female$Type: Predicted Year: 1821 Ex: 6.326631","Age: 78 ex_fr_female$Type: Predicted Year: 1822 Ex: 6.169629","Age: 78 ex_fr_female$Type: Predicted Year: 1823 Ex: 6.208868","Age: 78 ex_fr_female$Type: Predicted Year: 1824 Ex: 6.395802","Age: 78 ex_fr_female$Type: Predicted Year: 1825 Ex: 6.253665","Age: 78 ex_fr_female$Type: Predicted Year: 1826 Ex: 5.854847","Age: 78 ex_fr_female$Type: Predicted Year: 1827 Ex: 6.245503","Age: 78 ex_fr_female$Type: Predicted Year: 1828 Ex: 6.063518","Age: 78 ex_fr_female$Type: Predicted Year: 1829 Ex: 5.791151","Age: 78 ex_fr_female$Type: Predicted Year: 1830 Ex: 5.862539","Age: 78 ex_fr_female$Type: Predicted Year: 1831 Ex: 5.862214","Age: 78 ex_fr_female$Type: Predicted Year: 1832 Ex: 5.582181","Age: 78 ex_fr_female$Type: Predicted Year: 1833 Ex: 6.227159","Age: 78 ex_fr_female$Type: Predicted Year: 1834 Ex: 5.960262","Age: 78 ex_fr_female$Type: Predicted Year: 1835 Ex: 6.092191","Age: 78 ex_fr_female$Type: Predicted Year: 1836 Ex: 6.138590","Age: 78 ex_fr_female$Type: Predicted Year: 1837 Ex: 5.374970","Age: 78 ex_fr_female$Type: Predicted Year: 1838 Ex: 5.956198","Age: 78 ex_fr_female$Type: Predicted Year: 1839 Ex: 6.312466","Age: 78 ex_fr_female$Type: Predicted Year: 1840 Ex: 5.896866","Age: 78 ex_fr_female$Type: Predicted Year: 1841 Ex: 6.152489","Age: 78 ex_fr_female$Type: Predicted Year: 1842 Ex: 5.846813","Age: 78 ex_fr_female$Type: Predicted Year: 1843 Ex: 5.931244","Age: 78 ex_fr_female$Type: Predicted Year: 1844 Ex: 5.992395","Age: 78 ex_fr_female$Type: Predicted Year: 1845 Ex: 6.163456","Age: 78 ex_fr_female$Type: Predicted Year: 1846 Ex: 5.984975","Age: 78 ex_fr_female$Type: Predicted Year: 1847 Ex: 5.485998","Age: 78 ex_fr_female$Type: Predicted Year: 1848 Ex: 5.715846","Age: 78 ex_fr_female$Type: Predicted Year: 1849 Ex: 5.607210","Age: 78 ex_fr_female$Type: Predicted Year: 1850 Ex: 6.018863","Age: 78 ex_fr_female$Type: Predicted Year: 1851 Ex: 5.814337","Age: 78 ex_fr_female$Type: Predicted Year: 1852 Ex: 5.875074","Age: 78 ex_fr_female$Type: Predicted Year: 1853 Ex: 5.595009","Age: 78 ex_fr_female$Type: Predicted Year: 1854 Ex: 5.399183","Age: 78 ex_fr_female$Type: Predicted Year: 1855 Ex: 5.284485","Age: 78 ex_fr_female$Type: Predicted Year: 1856 Ex: 5.881669","Age: 78 ex_fr_female$Type: Predicted Year: 1857 Ex: 5.760930","Age: 78 ex_fr_female$Type: Predicted Year: 1858 Ex: 5.457073","Age: 78 ex_fr_female$Type: Predicted Year: 1859 Ex: 5.568744","Age: 78 ex_fr_female$Type: Predicted Year: 1860 Ex: 5.977630","Age: 78 ex_fr_female$Type: Predicted Year: 1861 Ex: 5.886742","Age: 78 ex_fr_female$Type: Predicted Year: 1862 Ex: 5.980068","Age: 78 ex_fr_female$Type: Predicted Year: 1863 Ex: 5.939386","Age: 78 ex_fr_female$Type: Predicted Year: 1864 Ex: 5.740320","Age: 78 ex_fr_female$Type: Predicted Year: 1865 Ex: 5.687008","Age: 78 ex_fr_female$Type: Predicted Year: 1866 Ex: 5.855795","Age: 78 ex_fr_female$Type: Predicted Year: 1867 Ex: 5.760904","Age: 78 ex_fr_female$Type: Predicted Year: 1868 Ex: 5.646899","Age: 78 ex_fr_female$Type: Predicted Year: 1869 Ex: 5.695893","Age: 78 ex_fr_female$Type: Predicted Year: 1870 Ex: 5.170726","Age: 78 ex_fr_female$Type: Predicted Year: 1871 Ex: 5.112351","Age: 78 ex_fr_female$Type: Predicted Year: 1872 Ex: 6.288445","Age: 78 ex_fr_female$Type: Predicted Year: 1873 Ex: 5.844510","Age: 78 ex_fr_female$Type: Predicted Year: 1874 Ex: 6.121808","Age: 78 ex_fr_female$Type: Predicted Year: 1875 Ex: 5.700437","Age: 78 ex_fr_female$Type: Predicted Year: 1876 Ex: 5.837787","Age: 78 ex_fr_female$Type: Predicted Year: 1877 Ex: 5.999121","Age: 78 ex_fr_female$Type: Predicted Year: 1878 Ex: 5.688582","Age: 78 ex_fr_female$Type: Predicted Year: 1879 Ex: 5.555915","Age: 78 ex_fr_female$Type: Predicted Year: 1880 Ex: 5.751201","Age: 78 ex_fr_female$Type: Predicted Year: 1881 Ex: 6.043299","Age: 78 ex_fr_female$Type: Predicted Year: 1882 Ex: 6.085864","Age: 78 ex_fr_female$Type: Predicted Year: 1883 Ex: 6.012939","Age: 78 ex_fr_female$Type: Predicted Year: 1884 Ex: 6.053240","Age: 78 ex_fr_female$Type: Predicted Year: 1885 Ex: 6.118246","Age: 78 ex_fr_female$Type: Predicted Year: 1886 Ex: 6.106157","Age: 78 ex_fr_female$Type: Predicted Year: 1887 Ex: 6.205304","Age: 78 ex_fr_female$Type: Predicted Year: 1888 Ex: 5.973405","Age: 78 ex_fr_female$Type: Predicted Year: 1889 Ex: 6.213121","Age: 78 ex_fr_female$Type: Predicted Year: 1890 Ex: 5.739579","Age: 78 ex_fr_female$Type: Predicted Year: 1891 Ex: 5.544914","Age: 78 ex_fr_female$Type: Predicted Year: 1892 Ex: 5.457827","Age: 78 ex_fr_female$Type: Predicted Year: 1893 Ex: 5.587113","Age: 78 ex_fr_female$Type: Predicted Year: 1894 Ex: 5.835183","Age: 78 ex_fr_female$Type: Predicted Year: 1895 Ex: 5.498115","Age: 78 ex_fr_female$Type: Predicted Year: 1896 Ex: 6.038554","Age: 78 ex_fr_female$Type: Predicted Year: 1897 Ex: 6.127935","Age: 78 ex_fr_female$Type: Predicted Year: 1898 Ex: 5.703976","Age: 78 ex_fr_female$Type: Predicted Year: 1899 Ex: 5.763366","Age: 78 ex_fr_female$Type: Predicted Year: 1900 Ex: 5.479709","Age: 78 ex_fr_female$Type: Predicted Year: 1901 Ex: 5.825332","Age: 78 ex_fr_female$Type: Predicted Year: 1902 Ex: 5.947603","Age: 78 ex_fr_female$Type: Predicted Year: 1903 Ex: 5.887115","Age: 78 ex_fr_female$Type: Predicted Year: 1904 Ex: 5.825533","Age: 78 ex_fr_female$Type: Predicted Year: 1905 Ex: 5.776489","Age: 78 ex_fr_female$Type: Predicted Year: 1906 Ex: 5.775678","Age: 78 ex_fr_female$Type: Predicted Year: 1907 Ex: 5.583684","Age: 78 ex_fr_female$Type: Predicted Year: 1908 Ex: 5.971855","Age: 78 ex_fr_female$Type: Predicted Year: 1909 Ex: 5.703273","Age: 78 ex_fr_female$Type: Predicted Year: 1910 Ex: 6.081335","Age: 78 ex_fr_female$Type: Predicted Year: 1911 Ex: 5.641416","Age: 78 ex_fr_female$Type: Predicted Year: 1912 Ex: 6.207694","Age: 78 ex_fr_female$Type: Predicted Year: 1913 Ex: 6.149279","Age: 78 ex_fr_female$Type: Predicted Year: 1914 Ex: 5.739968","Age: 78 ex_fr_female$Type: Predicted Year: 1915 Ex: 5.842416","Age: 78 ex_fr_female$Type: Predicted Year: 1916 Ex: 5.818196","Age: 78 ex_fr_female$Type: Predicted Year: 1917 Ex: 5.624266","Age: 78 ex_fr_female$Type: Predicted Year: 1918 Ex: 5.790250","Age: 78 ex_fr_female$Type: Predicted Year: 1919 Ex: 5.780726","Age: 78 ex_fr_female$Type: Predicted Year: 1920 Ex: 6.282288","Age: 78 ex_fr_female$Type: Predicted Year: 1921 Ex: 6.224625","Age: 78 ex_fr_female$Type: Predicted Year: 1922 Ex: 5.947427","Age: 78 ex_fr_female$Type: Predicted Year: 1923 Ex: 6.337591","Age: 78 ex_fr_female$Type: Predicted Year: 1924 Ex: 6.221021","Age: 78 ex_fr_female$Type: Predicted Year: 1925 Ex: 6.018201","Age: 78 ex_fr_female$Type: Predicted Year: 1926 Ex: 6.111683","Age: 78 ex_fr_female$Type: Predicted Year: 1927 Ex: 6.118387","Age: 78 ex_fr_female$Type: Predicted Year: 1928 Ex: 6.317641","Age: 78 ex_fr_female$Type: Predicted Year: 1929 Ex: 5.755756","Age: 78 ex_fr_female$Type: Predicted Year: 1930 Ex: 6.712819","Age: 78 ex_fr_female$Type: Predicted Year: 1931 Ex: 6.135181","Age: 78 ex_fr_female$Type: Predicted Year: 1932 Ex: 6.411173","Age: 78 ex_fr_female$Type: Predicted Year: 1933 Ex: 6.364254","Age: 78 ex_fr_female$Type: Predicted Year: 1934 Ex: 6.757114","Age: 78 ex_fr_female$Type: Predicted Year: 1935 Ex: 6.497494","Age: 78 ex_fr_female$Type: Predicted Year: 1936 Ex: 6.604079","Age: 78 ex_fr_female$Type: Predicted Year: 1937 Ex: 6.785629","Age: 78 ex_fr_female$Type: Predicted Year: 1938 Ex: 6.583485","Age: 78 ex_fr_female$Type: Predicted Year: 1939 Ex: 6.460305","Age: 78 ex_fr_female$Type: Predicted Year: 1940 Ex: 5.606387","Age: 78 ex_fr_female$Type: Predicted Year: 1941 Ex: 6.213151","Age: 78 ex_fr_female$Type: Predicted Year: 1942 Ex: 6.175422","Age: 78 ex_fr_female$Type: Predicted Year: 1943 Ex: 6.324600","Age: 78 ex_fr_female$Type: Predicted Year: 1944 Ex: 5.845241","Age: 78 ex_fr_female$Type: Predicted Year: 1945 Ex: 6.346410","Age: 78 ex_fr_female$Type: Predicted Year: 1946 Ex: 7.066208","Age: 78 ex_fr_female$Type: Predicted Year: 1947 Ex: 7.206048","Age: 78 ex_fr_female$Type: Predicted Year: 1948 Ex: 7.623004","Age: 78 ex_fr_female$Type: Predicted Year: 1949 Ex: 6.799600","Age: 78 ex_fr_female$Type: Predicted Year: 1950 Ex: 7.289419","Age: 78 ex_fr_female$Type: Predicted Year: 1951 Ex: 6.885699","Age: 78 ex_fr_female$Type: Predicted Year: 1952 Ex: 7.369636","Age: 78 ex_fr_female$Type: Predicted Year: 1953 Ex: 6.925595","Age: 78 ex_fr_female$Type: Predicted Year: 1954 Ex: 7.532452","Age: 78 ex_fr_female$Type: Predicted Year: 1955 Ex: 7.414409","Age: 78 ex_fr_female$Type: Predicted Year: 1956 Ex: 7.201989","Age: 78 ex_fr_female$Type: Predicted Year: 1957 Ex: 7.522194","Age: 78 ex_fr_female$Type: Predicted Year: 1958 Ex: 7.732194","Age: 78 ex_fr_female$Type: Predicted Year: 1959 Ex: 7.776966","Age: 78 ex_fr_female$Type: Predicted Year: 1960 Ex: 7.696871","Age: 78 ex_fr_female$Type: Predicted Year: 1961 Ex: 8.095708","Age: 78 ex_fr_female$Type: Predicted Year: 1962 Ex: 7.663556","Age: 78 ex_fr_female$Type: Predicted Year: 1963 Ex: 7.611466","Age: 78 ex_fr_female$Type: Predicted Year: 1964 Ex: 8.178186","Age: 78 ex_fr_female$Type: Predicted Year: 1965 Ex: 7.982237","Age: 78 ex_fr_female$Type: Predicted Year: 1966 Ex: 8.286645","Age: 78 ex_fr_female$Type: Predicted Year: 1967 Ex: 8.210126","Age: 78 ex_fr_female$Type: Predicted Year: 1968 Ex: 8.157955","Age: 78 ex_fr_female$Type: Predicted Year: 1969 Ex: 8.214452","Age: 78 ex_fr_female$Type: Predicted Year: 1970 Ex: 8.417168","Age: 78 ex_fr_female$Type: Predicted Year: 1971 Ex: 8.353105","Age: 78 ex_fr_female$Type: Predicted Year: 1972 Ex: 8.567266","Age: 78 ex_fr_female$Type: Predicted Year: 1973 Ex: 8.445600","Age: 78 ex_fr_female$Type: Predicted Year: 1974 Ex: 8.612953","Age: 78 ex_fr_female$Type: Predicted Year: 1975 Ex: 8.603054","Age: 78 ex_fr_female$Type: Predicted Year: 1976 Ex: 8.689257","Age: 78 ex_fr_female$Type: Predicted Year: 1977 Ex: 9.048863","Age: 78 ex_fr_female$Type: Predicted Year: 1978 Ex: 8.989357","Age: 78 ex_fr_female$Type: Predicted Year: 1979 Ex: 9.158128","Age: 78 ex_fr_female$Type: Predicted Year: 1980 Ex: 9.163798","Age: 78 ex_fr_female$Type: Predicted Year: 1981 Ex: 9.093588","Age: 78 ex_fr_female$Type: Predicted Year: 1982 Ex: 9.353506","Age: 78 ex_fr_female$Type: Predicted Year: 1983 Ex: 9.197607","Age: 78 ex_fr_female$Type: Predicted Year: 1984 Ex: 9.528055","Age: 78 ex_fr_female$Type: Predicted Year: 1985 Ex: 9.473980","Age: 78 ex_fr_female$Type: Predicted Year: 1986 Ex: 9.622955","Age: 78 ex_fr_female$Type: Predicted Year: 1987 Ex: 10.003834","Age: 78 ex_fr_female$Type: Predicted Year: 1988 Ex: 10.131500","Age: 78 ex_fr_female$Type: Predicted Year: 1989 Ex: 10.170531","Age: 78 ex_fr_female$Type: Predicted Year: 1990 Ex: 10.298816","Age: 78 ex_fr_female$Type: Predicted Year: 1991 Ex: 10.475373","Age: 78 ex_fr_female$Type: Predicted Year: 1992 Ex: 10.667147","Age: 78 ex_fr_female$Type: Predicted Year: 1993 Ex: 10.622526","Age: 78 ex_fr_female$Type: Predicted Year: 1994 Ex: 10.934898","Age: 78 ex_fr_female$Type: Predicted Year: 1995 Ex: 10.877709","Age: 78 ex_fr_female$Type: Predicted Year: 1996 Ex: 10.914267","Age: 78 ex_fr_female$Type: Predicted Year: 1997 Ex: 11.023171","Age: 78 ex_fr_female$Type: Predicted Year: 1998 Ex: 11.065678","Age: 78 ex_fr_female$Type: Predicted Year: 1999 Ex: 11.055156","Age: 78 ex_fr_female$Type: Predicted Year: 2000 Ex: 11.230540","Age: 78 ex_fr_female$Type: Predicted Year: 2001 Ex: 11.364530","Age: 78 ex_fr_female$Type: Predicted Year: 2002 Ex: 11.352609","Age: 78 ex_fr_female$Type: Predicted Year: 2003 Ex: 11.180673","Age: 78 ex_fr_female$Type: Predicted Year: 2004 Ex: 11.939871","Age: 78 ex_fr_female$Type: Predicted Year: 2005 Ex: 11.778057","Age: 78 ex_fr_female$Type: Predicted Year: 2006 Ex: 12.107928","Age: 78 ex_fr_female$Type: Predicted Year: 2007 Ex: 12.168541","Age: 78 ex_fr_female$Type: Predicted Year: 2008 Ex: 12.161357","Age: 78 ex_fr_female$Type: Predicted Year: 2009 Ex: 12.220186","Age: 78 ex_fr_female$Type: Predicted Year: 2010 Ex: 12.354829","Age: 78 ex_fr_female$Type: Predicted Year: 2011 Ex: 12.595075","Age: 78 ex_fr_female$Type: Predicted Year: 2012 Ex: 12.386603","Age: 78 ex_fr_female$Type: Predicted Year: 2013 Ex: 12.583229","Age: 78 ex_fr_female$Type: Predicted Year: 2014 Ex: 12.889598","Age: 78 ex_fr_female$Type: Predicted Year: 2015 Ex: 12.620257","Age: 78 ex_fr_female$Type: Predicted Year: 2016 Ex: 12.768506","Age: 78 ex_fr_female$Type: Predicted Year: 2017 Ex: 12.750119"],"frame":"78","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"79","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[5.23,5.34,5.48,5.45,5.03,5.57,5.41,5.45,5.64,5.5,5.13,5.51,5.34,5.08,5.15,5.15,4.9,5.51,5.23,5.38,5.41,4.67,5.22,5.58,5.16,5.4,5.12,5.2,5.24,5.42,5.26,4.76,4.99,4.9,5.29,5.09,5.14,4.86,4.69,4.59,5.16,5.02,4.73,4.83,5.24,5.15,5.27,5.22,5.02,4.99,5.16,5.05,4.93,4.99,4.49,4.42,5.54,5.1,5.4,5.01,5.13,5.28,4.97,4.84,5.02,5.29,5.32,5.25,5.29,5.38,5.37,5.46,5.23,5.47,5.04,4.88,4.79,4.9,5.13,4.81,5.34,5.45,5.04,5.05,4.79,5.17,5.29,5.17,5.12,5.11,5.11,4.9,5.25,4.99,5.4,4.94,5.5,5.45,5.01,5.14,5.09,4.9,5.05,5.04,5.57,5.47,5.23,5.6,5.51,5.31,5.36,5.4,5.56,5.03,5.96,5.4,5.68,5.61,6.01,5.75,5.85,6.04,5.85,5.7,4.87,5.47,5.44,5.56,5.12,5.6,6.28,6.42,6.82,6.01,6.5,6.1,6.58,6.13,6.73,6.62,6.41,6.72,6.91,6.96,6.88,7.27,6.84,6.78,7.34,7.14,7.43,7.34,7.31,7.38,7.57,7.5,7.71,7.58,7.75,7.74,7.82,8.17,8.1,8.26,8.26,8.19,8.45,8.29,8.61,8.56,8.7,9.07,9.2,9.21,9.34,9.52,9.7,9.66,9.97,9.91,9.94,10.04,10.08,10.07,10.24,10.37,10.36,10.19,10.93,10.76,11.1,11.15,11.14,11.19,11.33,11.56,11.35,11.53,11.84,11.57,11.73,11.71],"text":["Age: 79 ex_fr_female$Type: Observed Year: 1816 Ex: 5.230000","Age: 79 ex_fr_female$Type: Observed Year: 1817 Ex: 5.340000","Age: 79 ex_fr_female$Type: Observed Year: 1818 Ex: 5.480000","Age: 79 ex_fr_female$Type: Observed Year: 1819 Ex: 5.450000","Age: 79 ex_fr_female$Type: Observed Year: 1820 Ex: 5.030000","Age: 79 ex_fr_female$Type: Observed Year: 1821 Ex: 5.570000","Age: 79 ex_fr_female$Type: Observed Year: 1822 Ex: 5.410000","Age: 79 ex_fr_female$Type: Observed Year: 1823 Ex: 5.450000","Age: 79 ex_fr_female$Type: Observed Year: 1824 Ex: 5.640000","Age: 79 ex_fr_female$Type: Observed Year: 1825 Ex: 5.500000","Age: 79 ex_fr_female$Type: Observed Year: 1826 Ex: 5.130000","Age: 79 ex_fr_female$Type: Observed Year: 1827 Ex: 5.510000","Age: 79 ex_fr_female$Type: Observed Year: 1828 Ex: 5.340000","Age: 79 ex_fr_female$Type: Observed Year: 1829 Ex: 5.080000","Age: 79 ex_fr_female$Type: Observed Year: 1830 Ex: 5.150000","Age: 79 ex_fr_female$Type: Observed Year: 1831 Ex: 5.150000","Age: 79 ex_fr_female$Type: Observed Year: 1832 Ex: 4.900000","Age: 79 ex_fr_female$Type: Observed Year: 1833 Ex: 5.510000","Age: 79 ex_fr_female$Type: Observed Year: 1834 Ex: 5.230000","Age: 79 ex_fr_female$Type: Observed Year: 1835 Ex: 5.380000","Age: 79 ex_fr_female$Type: Observed Year: 1836 Ex: 5.410000","Age: 79 ex_fr_female$Type: Observed Year: 1837 Ex: 4.670000","Age: 79 ex_fr_female$Type: Observed Year: 1838 Ex: 5.220000","Age: 79 ex_fr_female$Type: Observed Year: 1839 Ex: 5.580000","Age: 79 ex_fr_female$Type: Observed Year: 1840 Ex: 5.160000","Age: 79 ex_fr_female$Type: Observed Year: 1841 Ex: 5.400000","Age: 79 ex_fr_female$Type: Observed Year: 1842 Ex: 5.120000","Age: 79 ex_fr_female$Type: Observed Year: 1843 Ex: 5.200000","Age: 79 ex_fr_female$Type: Observed Year: 1844 Ex: 5.240000","Age: 79 ex_fr_female$Type: Observed Year: 1845 Ex: 5.420000","Age: 79 ex_fr_female$Type: Observed Year: 1846 Ex: 5.260000","Age: 79 ex_fr_female$Type: Observed Year: 1847 Ex: 4.760000","Age: 79 ex_fr_female$Type: Observed Year: 1848 Ex: 4.990000","Age: 79 ex_fr_female$Type: Observed Year: 1849 Ex: 4.900000","Age: 79 ex_fr_female$Type: Observed Year: 1850 Ex: 5.290000","Age: 79 ex_fr_female$Type: Observed Year: 1851 Ex: 5.090000","Age: 79 ex_fr_female$Type: Observed Year: 1852 Ex: 5.140000","Age: 79 ex_fr_female$Type: Observed Year: 1853 Ex: 4.860000","Age: 79 ex_fr_female$Type: Observed Year: 1854 Ex: 4.690000","Age: 79 ex_fr_female$Type: Observed Year: 1855 Ex: 4.590000","Age: 79 ex_fr_female$Type: Observed Year: 1856 Ex: 5.160000","Age: 79 ex_fr_female$Type: Observed Year: 1857 Ex: 5.020000","Age: 79 ex_fr_female$Type: Observed Year: 1858 Ex: 4.730000","Age: 79 ex_fr_female$Type: Observed Year: 1859 Ex: 4.830000","Age: 79 ex_fr_female$Type: Observed Year: 1860 Ex: 5.240000","Age: 79 ex_fr_female$Type: Observed Year: 1861 Ex: 5.150000","Age: 79 ex_fr_female$Type: Observed Year: 1862 Ex: 5.270000","Age: 79 ex_fr_female$Type: Observed Year: 1863 Ex: 5.220000","Age: 79 ex_fr_female$Type: Observed Year: 1864 Ex: 5.020000","Age: 79 ex_fr_female$Type: Observed Year: 1865 Ex: 4.990000","Age: 79 ex_fr_female$Type: Observed Year: 1866 Ex: 5.160000","Age: 79 ex_fr_female$Type: Observed Year: 1867 Ex: 5.050000","Age: 79 ex_fr_female$Type: Observed Year: 1868 Ex: 4.930000","Age: 79 ex_fr_female$Type: Observed Year: 1869 Ex: 4.990000","Age: 79 ex_fr_female$Type: Observed Year: 1870 Ex: 4.490000","Age: 79 ex_fr_female$Type: Observed Year: 1871 Ex: 4.420000","Age: 79 ex_fr_female$Type: Observed Year: 1872 Ex: 5.540000","Age: 79 ex_fr_female$Type: Observed Year: 1873 Ex: 5.100000","Age: 79 ex_fr_female$Type: Observed Year: 1874 Ex: 5.400000","Age: 79 ex_fr_female$Type: Observed Year: 1875 Ex: 5.010000","Age: 79 ex_fr_female$Type: Observed Year: 1876 Ex: 5.130000","Age: 79 ex_fr_female$Type: Observed Year: 1877 Ex: 5.280000","Age: 79 ex_fr_female$Type: Observed Year: 1878 Ex: 4.970000","Age: 79 ex_fr_female$Type: Observed Year: 1879 Ex: 4.840000","Age: 79 ex_fr_female$Type: Observed Year: 1880 Ex: 5.020000","Age: 79 ex_fr_female$Type: Observed Year: 1881 Ex: 5.290000","Age: 79 ex_fr_female$Type: Observed Year: 1882 Ex: 5.320000","Age: 79 ex_fr_female$Type: Observed Year: 1883 Ex: 5.250000","Age: 79 ex_fr_female$Type: Observed Year: 1884 Ex: 5.290000","Age: 79 ex_fr_female$Type: Observed Year: 1885 Ex: 5.380000","Age: 79 ex_fr_female$Type: Observed Year: 1886 Ex: 5.370000","Age: 79 ex_fr_female$Type: Observed Year: 1887 Ex: 5.460000","Age: 79 ex_fr_female$Type: Observed Year: 1888 Ex: 5.230000","Age: 79 ex_fr_female$Type: Observed Year: 1889 Ex: 5.470000","Age: 79 ex_fr_female$Type: Observed Year: 1890 Ex: 5.040000","Age: 79 ex_fr_female$Type: Observed Year: 1891 Ex: 4.880000","Age: 79 ex_fr_female$Type: Observed Year: 1892 Ex: 4.790000","Age: 79 ex_fr_female$Type: Observed Year: 1893 Ex: 4.900000","Age: 79 ex_fr_female$Type: Observed Year: 1894 Ex: 5.130000","Age: 79 ex_fr_female$Type: Observed Year: 1895 Ex: 4.810000","Age: 79 ex_fr_female$Type: Observed Year: 1896 Ex: 5.340000","Age: 79 ex_fr_female$Type: Observed Year: 1897 Ex: 5.450000","Age: 79 ex_fr_female$Type: Observed Year: 1898 Ex: 5.040000","Age: 79 ex_fr_female$Type: Observed Year: 1899 Ex: 5.050000","Age: 79 ex_fr_female$Type: Observed Year: 1900 Ex: 4.790000","Age: 79 ex_fr_female$Type: Observed Year: 1901 Ex: 5.170000","Age: 79 ex_fr_female$Type: Observed Year: 1902 Ex: 5.290000","Age: 79 ex_fr_female$Type: Observed Year: 1903 Ex: 5.170000","Age: 79 ex_fr_female$Type: Observed Year: 1904 Ex: 5.120000","Age: 79 ex_fr_female$Type: Observed Year: 1905 Ex: 5.110000","Age: 79 ex_fr_female$Type: Observed Year: 1906 Ex: 5.110000","Age: 79 ex_fr_female$Type: Observed Year: 1907 Ex: 4.900000","Age: 79 ex_fr_female$Type: Observed Year: 1908 Ex: 5.250000","Age: 79 ex_fr_female$Type: Observed Year: 1909 Ex: 4.990000","Age: 79 ex_fr_female$Type: Observed Year: 1910 Ex: 5.400000","Age: 79 ex_fr_female$Type: Observed Year: 1911 Ex: 4.940000","Age: 79 ex_fr_female$Type: Observed Year: 1912 Ex: 5.500000","Age: 79 ex_fr_female$Type: Observed Year: 1913 Ex: 5.450000","Age: 79 ex_fr_female$Type: Observed Year: 1914 Ex: 5.010000","Age: 79 ex_fr_female$Type: Observed Year: 1915 Ex: 5.140000","Age: 79 ex_fr_female$Type: Observed Year: 1916 Ex: 5.090000","Age: 79 ex_fr_female$Type: Observed Year: 1917 Ex: 4.900000","Age: 79 ex_fr_female$Type: Observed Year: 1918 Ex: 5.050000","Age: 79 ex_fr_female$Type: Observed Year: 1919 Ex: 5.040000","Age: 79 ex_fr_female$Type: Observed Year: 1920 Ex: 5.570000","Age: 79 ex_fr_female$Type: Observed Year: 1921 Ex: 5.470000","Age: 79 ex_fr_female$Type: Observed Year: 1922 Ex: 5.230000","Age: 79 ex_fr_female$Type: Observed Year: 1923 Ex: 5.600000","Age: 79 ex_fr_female$Type: Observed Year: 1924 Ex: 5.510000","Age: 79 ex_fr_female$Type: Observed Year: 1925 Ex: 5.310000","Age: 79 ex_fr_female$Type: Observed Year: 1926 Ex: 5.360000","Age: 79 ex_fr_female$Type: Observed Year: 1927 Ex: 5.400000","Age: 79 ex_fr_female$Type: Observed Year: 1928 Ex: 5.560000","Age: 79 ex_fr_female$Type: Observed Year: 1929 Ex: 5.030000","Age: 79 ex_fr_female$Type: Observed Year: 1930 Ex: 5.960000","Age: 79 ex_fr_female$Type: Observed Year: 1931 Ex: 5.400000","Age: 79 ex_fr_female$Type: Observed Year: 1932 Ex: 5.680000","Age: 79 ex_fr_female$Type: Observed Year: 1933 Ex: 5.610000","Age: 79 ex_fr_female$Type: Observed Year: 1934 Ex: 6.010000","Age: 79 ex_fr_female$Type: Observed Year: 1935 Ex: 5.750000","Age: 79 ex_fr_female$Type: Observed Year: 1936 Ex: 5.850000","Age: 79 ex_fr_female$Type: Observed Year: 1937 Ex: 6.040000","Age: 79 ex_fr_female$Type: Observed Year: 1938 Ex: 5.850000","Age: 79 ex_fr_female$Type: Observed Year: 1939 Ex: 5.700000","Age: 79 ex_fr_female$Type: Observed Year: 1940 Ex: 4.870000","Age: 79 ex_fr_female$Type: Observed Year: 1941 Ex: 5.470000","Age: 79 ex_fr_female$Type: Observed Year: 1942 Ex: 5.440000","Age: 79 ex_fr_female$Type: Observed Year: 1943 Ex: 5.560000","Age: 79 ex_fr_female$Type: Observed Year: 1944 Ex: 5.120000","Age: 79 ex_fr_female$Type: Observed Year: 1945 Ex: 5.600000","Age: 79 ex_fr_female$Type: Observed Year: 1946 Ex: 6.280000","Age: 79 ex_fr_female$Type: Observed Year: 1947 Ex: 6.420000","Age: 79 ex_fr_female$Type: Observed Year: 1948 Ex: 6.820000","Age: 79 ex_fr_female$Type: Observed Year: 1949 Ex: 6.010000","Age: 79 ex_fr_female$Type: Observed Year: 1950 Ex: 6.500000","Age: 79 ex_fr_female$Type: Observed Year: 1951 Ex: 6.100000","Age: 79 ex_fr_female$Type: Observed Year: 1952 Ex: 6.580000","Age: 79 ex_fr_female$Type: Observed Year: 1953 Ex: 6.130000","Age: 79 ex_fr_female$Type: Observed Year: 1954 Ex: 6.730000","Age: 79 ex_fr_female$Type: Observed Year: 1955 Ex: 6.620000","Age: 79 ex_fr_female$Type: Observed Year: 1956 Ex: 6.410000","Age: 79 ex_fr_female$Type: Observed Year: 1957 Ex: 6.720000","Age: 79 ex_fr_female$Type: Observed Year: 1958 Ex: 6.910000","Age: 79 ex_fr_female$Type: Observed Year: 1959 Ex: 6.960000","Age: 79 ex_fr_female$Type: Observed Year: 1960 Ex: 6.880000","Age: 79 ex_fr_female$Type: Observed Year: 1961 Ex: 7.270000","Age: 79 ex_fr_female$Type: Observed Year: 1962 Ex: 6.840000","Age: 79 ex_fr_female$Type: Observed Year: 1963 Ex: 6.780000","Age: 79 ex_fr_female$Type: Observed Year: 1964 Ex: 7.340000","Age: 79 ex_fr_female$Type: Observed Year: 1965 Ex: 7.140000","Age: 79 ex_fr_female$Type: Observed Year: 1966 Ex: 7.430000","Age: 79 ex_fr_female$Type: Observed Year: 1967 Ex: 7.340000","Age: 79 ex_fr_female$Type: Observed Year: 1968 Ex: 7.310000","Age: 79 ex_fr_female$Type: Observed Year: 1969 Ex: 7.380000","Age: 79 ex_fr_female$Type: Observed Year: 1970 Ex: 7.570000","Age: 79 ex_fr_female$Type: Observed Year: 1971 Ex: 7.500000","Age: 79 ex_fr_female$Type: Observed Year: 1972 Ex: 7.710000","Age: 79 ex_fr_female$Type: Observed Year: 1973 Ex: 7.580000","Age: 79 ex_fr_female$Type: Observed Year: 1974 Ex: 7.750000","Age: 79 ex_fr_female$Type: Observed Year: 1975 Ex: 7.740000","Age: 79 ex_fr_female$Type: Observed Year: 1976 Ex: 7.820000","Age: 79 ex_fr_female$Type: Observed Year: 1977 Ex: 8.170000","Age: 79 ex_fr_female$Type: Observed Year: 1978 Ex: 8.100000","Age: 79 ex_fr_female$Type: Observed Year: 1979 Ex: 8.260000","Age: 79 ex_fr_female$Type: Observed Year: 1980 Ex: 8.260000","Age: 79 ex_fr_female$Type: Observed Year: 1981 Ex: 8.190000","Age: 79 ex_fr_female$Type: Observed Year: 1982 Ex: 8.450000","Age: 79 ex_fr_female$Type: Observed Year: 1983 Ex: 8.290000","Age: 79 ex_fr_female$Type: Observed Year: 1984 Ex: 8.610000","Age: 79 ex_fr_female$Type: Observed Year: 1985 Ex: 8.560000","Age: 79 ex_fr_female$Type: Observed Year: 1986 Ex: 8.700000","Age: 79 ex_fr_female$Type: Observed Year: 1987 Ex: 9.070000","Age: 79 ex_fr_female$Type: Observed Year: 1988 Ex: 9.200000","Age: 79 ex_fr_female$Type: Observed Year: 1989 Ex: 9.210000","Age: 79 ex_fr_female$Type: Observed Year: 1990 Ex: 9.340000","Age: 79 ex_fr_female$Type: Observed Year: 1991 Ex: 9.520000","Age: 79 ex_fr_female$Type: Observed Year: 1992 Ex: 9.700000","Age: 79 ex_fr_female$Type: Observed Year: 1993 Ex: 9.660000","Age: 79 ex_fr_female$Type: Observed Year: 1994 Ex: 9.970000","Age: 79 ex_fr_female$Type: Observed Year: 1995 Ex: 9.910000","Age: 79 ex_fr_female$Type: Observed Year: 1996 Ex: 9.940000","Age: 79 ex_fr_female$Type: Observed Year: 1997 Ex: 10.040000","Age: 79 ex_fr_female$Type: Observed Year: 1998 Ex: 10.080000","Age: 79 ex_fr_female$Type: Observed Year: 1999 Ex: 10.070000","Age: 79 ex_fr_female$Type: Observed Year: 2000 Ex: 10.240000","Age: 79 ex_fr_female$Type: Observed Year: 2001 Ex: 10.370000","Age: 79 ex_fr_female$Type: Observed Year: 2002 Ex: 10.360000","Age: 79 ex_fr_female$Type: Observed Year: 2003 Ex: 10.190000","Age: 79 ex_fr_female$Type: Observed Year: 2004 Ex: 10.930000","Age: 79 ex_fr_female$Type: Observed Year: 2005 Ex: 10.760000","Age: 79 ex_fr_female$Type: Observed Year: 2006 Ex: 11.100000","Age: 79 ex_fr_female$Type: Observed Year: 2007 Ex: 11.150000","Age: 79 ex_fr_female$Type: Observed Year: 2008 Ex: 11.140000","Age: 79 ex_fr_female$Type: Observed Year: 2009 Ex: 11.190000","Age: 79 ex_fr_female$Type: Observed Year: 2010 Ex: 11.330000","Age: 79 ex_fr_female$Type: Observed Year: 2011 Ex: 11.560000","Age: 79 ex_fr_female$Type: Observed Year: 2012 Ex: 11.350000","Age: 79 ex_fr_female$Type: Observed Year: 2013 Ex: 11.530000","Age: 79 ex_fr_female$Type: Observed Year: 2014 Ex: 11.840000","Age: 79 ex_fr_female$Type: Observed Year: 2015 Ex: 11.570000","Age: 79 ex_fr_female$Type: Observed Year: 2016 Ex: 11.730000","Age: 79 ex_fr_female$Type: Observed Year: 2017 Ex: 11.710000"],"frame":"79","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[5.65414106093622,5.75476558394957,5.89067636588053,5.8686894537219,5.45495536788921,5.98974415374208,5.82400110118465,5.85628423382074,6.05553624870421,5.91066052517652,5.54286999627175,5.9243363266775,5.76274629719779,5.49760157469815,5.56779018801748,5.5596320697591,5.32039431931757,5.92551197227463,5.65169567198224,5.7851124658347,5.81720026896135,5.09133604991014,5.63811785546114,5.9890492101195,5.57082201838947,5.80671758772597,5.53071631233369,5.61372531013588,5.65174387198564,5.83348523115662,5.6568854425941,5.16955200584325,5.39576542432684,5.30837199518218,5.7002103936603,5.48999653658267,5.54642961037094,5.25807793507496,5.08988853752284,4.98716888650525,5.54717015720607,5.41993022624126,5.13320952109029,5.23374545954121,5.63736176951199,5.54862116255151,5.65971531805105,5.61945052147101,5.41992269261425,5.38900578567555,5.56015978741726,5.44777193989907,5.33063493206372,5.38926973171717,4.89343309617217,4.82340324079033,5.93010164575814,5.49085235638517,5.78520723685056,5.40176262204345,5.52664172968173,5.66867753016346,5.36789193741966,5.22664435402504,5.41556785448141,5.68526204043985,5.71222488227056,5.63333609402194,5.67879173547094,5.75858552313165,5.74912834486914,5.83793516629473,5.61450672323601,5.85215816078591,5.42681497878593,5.26681258952784,5.17866154026739,5.29313182913855,5.51614907257519,5.19612781567681,5.72451760556408,5.83373349026071,5.42740488843302,5.43945631510635,5.17840135933012,5.55832572671744,5.67376396753615,5.55638860675911,5.50219521282999,5.4861476240113,5.4955733123082,5.28812321707463,5.63464417783823,5.38001863716177,5.77845309434512,5.324482004499,5.87847628569758,5.82866830402253,5.39936024042707,5.52176671789232,5.47267135550657,5.28614567684924,5.4290186983373,5.4163860512435,5.94856332672255,5.85149669702512,5.60688924874299,5.97404027450486,5.88497429346281,5.68182628974165,5.74162687913937,5.77344843975808,5.92905712648505,5.40906584489341,6.33637446622382,5.77990625967896,6.04612134883368,5.97556838235848,6.37649539339445,6.12303028479569,6.22527660034585,6.40942502615393,6.21785523809449,6.0735882177653,5.2447022034015,5.84105444706186,5.81068615708486,5.92804264002033,5.49365537718611,5.97148096782295,6.6438108444969,6.78368380106901,7.18288882822542,6.37892840793156,6.86080537740815,6.45982350254938,6.93324128708041,6.49370114811335,7.08218121922293,6.97584447597048,6.76245183843823,7.07043890817323,7.25673107346609,7.30514168577014,7.22890038996448,7.61267026830299,7.18619277411405,7.13328317587524,7.68124698736445,7.48188248527653,7.77375751574404,7.68761507971242,7.65054764812668,7.7280393978717,7.91034036135047,7.83627758765502,8.05153756384367,7.92197809543269,8.08655093510482,8.07684647787524,8.15681970993226,8.49815446813334,8.43435921631139,8.58648301348756,8.59379802775779,8.52208935778546,8.77861376336601,8.61632341633662,8.93309228102721,8.88362964605209,9.02252773526274,9.38778835465127,9.51630268215632,9.52996615281903,9.65255405648081,9.83176349453499,10.0088175588348,9.97117773416062,10.2838405423714,10.2235583928623,10.2526192467837,10.353439244849,10.3908513783121,10.3820734304467,10.5505039492507,10.6721625502494,10.6668265733843,10.495079984833,11.2313651552511,11.065659317368,11.3965633749192,11.4464903974265,11.4385379431644,11.4891687649684,11.6241123160196,11.8549791346236,11.6473712494894,11.8300474543404,12.1392605133524,11.8682023927124,12.0247442219826,12.0010960956514],"text":["Age: 79 ex_fr_female$Type: Predicted Year: 1816 Ex: 5.654141","Age: 79 ex_fr_female$Type: Predicted Year: 1817 Ex: 5.754766","Age: 79 ex_fr_female$Type: Predicted Year: 1818 Ex: 5.890676","Age: 79 ex_fr_female$Type: Predicted Year: 1819 Ex: 5.868689","Age: 79 ex_fr_female$Type: Predicted Year: 1820 Ex: 5.454955","Age: 79 ex_fr_female$Type: Predicted Year: 1821 Ex: 5.989744","Age: 79 ex_fr_female$Type: Predicted Year: 1822 Ex: 5.824001","Age: 79 ex_fr_female$Type: Predicted Year: 1823 Ex: 5.856284","Age: 79 ex_fr_female$Type: Predicted Year: 1824 Ex: 6.055536","Age: 79 ex_fr_female$Type: Predicted Year: 1825 Ex: 5.910661","Age: 79 ex_fr_female$Type: Predicted Year: 1826 Ex: 5.542870","Age: 79 ex_fr_female$Type: Predicted Year: 1827 Ex: 5.924336","Age: 79 ex_fr_female$Type: Predicted Year: 1828 Ex: 5.762746","Age: 79 ex_fr_female$Type: Predicted Year: 1829 Ex: 5.497602","Age: 79 ex_fr_female$Type: Predicted Year: 1830 Ex: 5.567790","Age: 79 ex_fr_female$Type: Predicted Year: 1831 Ex: 5.559632","Age: 79 ex_fr_female$Type: Predicted Year: 1832 Ex: 5.320394","Age: 79 ex_fr_female$Type: Predicted Year: 1833 Ex: 5.925512","Age: 79 ex_fr_female$Type: Predicted Year: 1834 Ex: 5.651696","Age: 79 ex_fr_female$Type: Predicted Year: 1835 Ex: 5.785112","Age: 79 ex_fr_female$Type: Predicted Year: 1836 Ex: 5.817200","Age: 79 ex_fr_female$Type: Predicted Year: 1837 Ex: 5.091336","Age: 79 ex_fr_female$Type: Predicted Year: 1838 Ex: 5.638118","Age: 79 ex_fr_female$Type: Predicted Year: 1839 Ex: 5.989049","Age: 79 ex_fr_female$Type: Predicted Year: 1840 Ex: 5.570822","Age: 79 ex_fr_female$Type: Predicted Year: 1841 Ex: 5.806718","Age: 79 ex_fr_female$Type: Predicted Year: 1842 Ex: 5.530716","Age: 79 ex_fr_female$Type: Predicted Year: 1843 Ex: 5.613725","Age: 79 ex_fr_female$Type: Predicted Year: 1844 Ex: 5.651744","Age: 79 ex_fr_female$Type: Predicted Year: 1845 Ex: 5.833485","Age: 79 ex_fr_female$Type: Predicted Year: 1846 Ex: 5.656885","Age: 79 ex_fr_female$Type: Predicted Year: 1847 Ex: 5.169552","Age: 79 ex_fr_female$Type: Predicted Year: 1848 Ex: 5.395765","Age: 79 ex_fr_female$Type: Predicted Year: 1849 Ex: 5.308372","Age: 79 ex_fr_female$Type: Predicted Year: 1850 Ex: 5.700210","Age: 79 ex_fr_female$Type: Predicted Year: 1851 Ex: 5.489997","Age: 79 ex_fr_female$Type: Predicted Year: 1852 Ex: 5.546430","Age: 79 ex_fr_female$Type: Predicted Year: 1853 Ex: 5.258078","Age: 79 ex_fr_female$Type: Predicted Year: 1854 Ex: 5.089889","Age: 79 ex_fr_female$Type: Predicted Year: 1855 Ex: 4.987169","Age: 79 ex_fr_female$Type: Predicted Year: 1856 Ex: 5.547170","Age: 79 ex_fr_female$Type: Predicted Year: 1857 Ex: 5.419930","Age: 79 ex_fr_female$Type: Predicted Year: 1858 Ex: 5.133210","Age: 79 ex_fr_female$Type: Predicted Year: 1859 Ex: 5.233745","Age: 79 ex_fr_female$Type: Predicted Year: 1860 Ex: 5.637362","Age: 79 ex_fr_female$Type: Predicted Year: 1861 Ex: 5.548621","Age: 79 ex_fr_female$Type: Predicted Year: 1862 Ex: 5.659715","Age: 79 ex_fr_female$Type: Predicted Year: 1863 Ex: 5.619451","Age: 79 ex_fr_female$Type: Predicted Year: 1864 Ex: 5.419923","Age: 79 ex_fr_female$Type: Predicted Year: 1865 Ex: 5.389006","Age: 79 ex_fr_female$Type: Predicted Year: 1866 Ex: 5.560160","Age: 79 ex_fr_female$Type: Predicted Year: 1867 Ex: 5.447772","Age: 79 ex_fr_female$Type: Predicted Year: 1868 Ex: 5.330635","Age: 79 ex_fr_female$Type: Predicted Year: 1869 Ex: 5.389270","Age: 79 ex_fr_female$Type: Predicted Year: 1870 Ex: 4.893433","Age: 79 ex_fr_female$Type: Predicted Year: 1871 Ex: 4.823403","Age: 79 ex_fr_female$Type: Predicted Year: 1872 Ex: 5.930102","Age: 79 ex_fr_female$Type: Predicted Year: 1873 Ex: 5.490852","Age: 79 ex_fr_female$Type: Predicted Year: 1874 Ex: 5.785207","Age: 79 ex_fr_female$Type: Predicted Year: 1875 Ex: 5.401763","Age: 79 ex_fr_female$Type: Predicted Year: 1876 Ex: 5.526642","Age: 79 ex_fr_female$Type: Predicted Year: 1877 Ex: 5.668678","Age: 79 ex_fr_female$Type: Predicted Year: 1878 Ex: 5.367892","Age: 79 ex_fr_female$Type: Predicted Year: 1879 Ex: 5.226644","Age: 79 ex_fr_female$Type: Predicted Year: 1880 Ex: 5.415568","Age: 79 ex_fr_female$Type: Predicted Year: 1881 Ex: 5.685262","Age: 79 ex_fr_female$Type: Predicted Year: 1882 Ex: 5.712225","Age: 79 ex_fr_female$Type: Predicted Year: 1883 Ex: 5.633336","Age: 79 ex_fr_female$Type: Predicted Year: 1884 Ex: 5.678792","Age: 79 ex_fr_female$Type: Predicted Year: 1885 Ex: 5.758586","Age: 79 ex_fr_female$Type: Predicted Year: 1886 Ex: 5.749128","Age: 79 ex_fr_female$Type: Predicted Year: 1887 Ex: 5.837935","Age: 79 ex_fr_female$Type: Predicted Year: 1888 Ex: 5.614507","Age: 79 ex_fr_female$Type: Predicted Year: 1889 Ex: 5.852158","Age: 79 ex_fr_female$Type: Predicted Year: 1890 Ex: 5.426815","Age: 79 ex_fr_female$Type: Predicted Year: 1891 Ex: 5.266813","Age: 79 ex_fr_female$Type: Predicted Year: 1892 Ex: 5.178662","Age: 79 ex_fr_female$Type: Predicted Year: 1893 Ex: 5.293132","Age: 79 ex_fr_female$Type: Predicted Year: 1894 Ex: 5.516149","Age: 79 ex_fr_female$Type: Predicted Year: 1895 Ex: 5.196128","Age: 79 ex_fr_female$Type: Predicted Year: 1896 Ex: 5.724518","Age: 79 ex_fr_female$Type: Predicted Year: 1897 Ex: 5.833733","Age: 79 ex_fr_female$Type: Predicted Year: 1898 Ex: 5.427405","Age: 79 ex_fr_female$Type: Predicted Year: 1899 Ex: 5.439456","Age: 79 ex_fr_female$Type: Predicted Year: 1900 Ex: 5.178401","Age: 79 ex_fr_female$Type: Predicted Year: 1901 Ex: 5.558326","Age: 79 ex_fr_female$Type: Predicted Year: 1902 Ex: 5.673764","Age: 79 ex_fr_female$Type: Predicted Year: 1903 Ex: 5.556389","Age: 79 ex_fr_female$Type: Predicted Year: 1904 Ex: 5.502195","Age: 79 ex_fr_female$Type: Predicted Year: 1905 Ex: 5.486148","Age: 79 ex_fr_female$Type: Predicted Year: 1906 Ex: 5.495573","Age: 79 ex_fr_female$Type: Predicted Year: 1907 Ex: 5.288123","Age: 79 ex_fr_female$Type: Predicted Year: 1908 Ex: 5.634644","Age: 79 ex_fr_female$Type: Predicted Year: 1909 Ex: 5.380019","Age: 79 ex_fr_female$Type: Predicted Year: 1910 Ex: 5.778453","Age: 79 ex_fr_female$Type: Predicted Year: 1911 Ex: 5.324482","Age: 79 ex_fr_female$Type: Predicted Year: 1912 Ex: 5.878476","Age: 79 ex_fr_female$Type: Predicted Year: 1913 Ex: 5.828668","Age: 79 ex_fr_female$Type: Predicted Year: 1914 Ex: 5.399360","Age: 79 ex_fr_female$Type: Predicted Year: 1915 Ex: 5.521767","Age: 79 ex_fr_female$Type: Predicted Year: 1916 Ex: 5.472671","Age: 79 ex_fr_female$Type: Predicted Year: 1917 Ex: 5.286146","Age: 79 ex_fr_female$Type: Predicted Year: 1918 Ex: 5.429019","Age: 79 ex_fr_female$Type: Predicted Year: 1919 Ex: 5.416386","Age: 79 ex_fr_female$Type: Predicted Year: 1920 Ex: 5.948563","Age: 79 ex_fr_female$Type: Predicted Year: 1921 Ex: 5.851497","Age: 79 ex_fr_female$Type: Predicted Year: 1922 Ex: 5.606889","Age: 79 ex_fr_female$Type: Predicted Year: 1923 Ex: 5.974040","Age: 79 ex_fr_female$Type: Predicted Year: 1924 Ex: 5.884974","Age: 79 ex_fr_female$Type: Predicted Year: 1925 Ex: 5.681826","Age: 79 ex_fr_female$Type: Predicted Year: 1926 Ex: 5.741627","Age: 79 ex_fr_female$Type: Predicted Year: 1927 Ex: 5.773448","Age: 79 ex_fr_female$Type: Predicted Year: 1928 Ex: 5.929057","Age: 79 ex_fr_female$Type: Predicted Year: 1929 Ex: 5.409066","Age: 79 ex_fr_female$Type: Predicted Year: 1930 Ex: 6.336374","Age: 79 ex_fr_female$Type: Predicted Year: 1931 Ex: 5.779906","Age: 79 ex_fr_female$Type: Predicted Year: 1932 Ex: 6.046121","Age: 79 ex_fr_female$Type: Predicted Year: 1933 Ex: 5.975568","Age: 79 ex_fr_female$Type: Predicted Year: 1934 Ex: 6.376495","Age: 79 ex_fr_female$Type: Predicted Year: 1935 Ex: 6.123030","Age: 79 ex_fr_female$Type: Predicted Year: 1936 Ex: 6.225277","Age: 79 ex_fr_female$Type: Predicted Year: 1937 Ex: 6.409425","Age: 79 ex_fr_female$Type: Predicted Year: 1938 Ex: 6.217855","Age: 79 ex_fr_female$Type: Predicted Year: 1939 Ex: 6.073588","Age: 79 ex_fr_female$Type: Predicted Year: 1940 Ex: 5.244702","Age: 79 ex_fr_female$Type: Predicted Year: 1941 Ex: 5.841054","Age: 79 ex_fr_female$Type: Predicted Year: 1942 Ex: 5.810686","Age: 79 ex_fr_female$Type: Predicted Year: 1943 Ex: 5.928043","Age: 79 ex_fr_female$Type: Predicted Year: 1944 Ex: 5.493655","Age: 79 ex_fr_female$Type: Predicted Year: 1945 Ex: 5.971481","Age: 79 ex_fr_female$Type: Predicted Year: 1946 Ex: 6.643811","Age: 79 ex_fr_female$Type: Predicted Year: 1947 Ex: 6.783684","Age: 79 ex_fr_female$Type: Predicted Year: 1948 Ex: 7.182889","Age: 79 ex_fr_female$Type: Predicted Year: 1949 Ex: 6.378928","Age: 79 ex_fr_female$Type: Predicted Year: 1950 Ex: 6.860805","Age: 79 ex_fr_female$Type: Predicted Year: 1951 Ex: 6.459824","Age: 79 ex_fr_female$Type: Predicted Year: 1952 Ex: 6.933241","Age: 79 ex_fr_female$Type: Predicted Year: 1953 Ex: 6.493701","Age: 79 ex_fr_female$Type: Predicted Year: 1954 Ex: 7.082181","Age: 79 ex_fr_female$Type: Predicted Year: 1955 Ex: 6.975844","Age: 79 ex_fr_female$Type: Predicted Year: 1956 Ex: 6.762452","Age: 79 ex_fr_female$Type: Predicted Year: 1957 Ex: 7.070439","Age: 79 ex_fr_female$Type: Predicted Year: 1958 Ex: 7.256731","Age: 79 ex_fr_female$Type: Predicted Year: 1959 Ex: 7.305142","Age: 79 ex_fr_female$Type: Predicted Year: 1960 Ex: 7.228900","Age: 79 ex_fr_female$Type: Predicted Year: 1961 Ex: 7.612670","Age: 79 ex_fr_female$Type: Predicted Year: 1962 Ex: 7.186193","Age: 79 ex_fr_female$Type: Predicted Year: 1963 Ex: 7.133283","Age: 79 ex_fr_female$Type: Predicted Year: 1964 Ex: 7.681247","Age: 79 ex_fr_female$Type: Predicted Year: 1965 Ex: 7.481882","Age: 79 ex_fr_female$Type: Predicted Year: 1966 Ex: 7.773758","Age: 79 ex_fr_female$Type: Predicted Year: 1967 Ex: 7.687615","Age: 79 ex_fr_female$Type: Predicted Year: 1968 Ex: 7.650548","Age: 79 ex_fr_female$Type: Predicted Year: 1969 Ex: 7.728039","Age: 79 ex_fr_female$Type: Predicted Year: 1970 Ex: 7.910340","Age: 79 ex_fr_female$Type: Predicted Year: 1971 Ex: 7.836278","Age: 79 ex_fr_female$Type: Predicted Year: 1972 Ex: 8.051538","Age: 79 ex_fr_female$Type: Predicted Year: 1973 Ex: 7.921978","Age: 79 ex_fr_female$Type: Predicted Year: 1974 Ex: 8.086551","Age: 79 ex_fr_female$Type: Predicted Year: 1975 Ex: 8.076846","Age: 79 ex_fr_female$Type: Predicted Year: 1976 Ex: 8.156820","Age: 79 ex_fr_female$Type: Predicted Year: 1977 Ex: 8.498154","Age: 79 ex_fr_female$Type: Predicted Year: 1978 Ex: 8.434359","Age: 79 ex_fr_female$Type: Predicted Year: 1979 Ex: 8.586483","Age: 79 ex_fr_female$Type: Predicted Year: 1980 Ex: 8.593798","Age: 79 ex_fr_female$Type: Predicted Year: 1981 Ex: 8.522089","Age: 79 ex_fr_female$Type: Predicted Year: 1982 Ex: 8.778614","Age: 79 ex_fr_female$Type: Predicted Year: 1983 Ex: 8.616323","Age: 79 ex_fr_female$Type: Predicted Year: 1984 Ex: 8.933092","Age: 79 ex_fr_female$Type: Predicted Year: 1985 Ex: 8.883630","Age: 79 ex_fr_female$Type: Predicted Year: 1986 Ex: 9.022528","Age: 79 ex_fr_female$Type: Predicted Year: 1987 Ex: 9.387788","Age: 79 ex_fr_female$Type: Predicted Year: 1988 Ex: 9.516303","Age: 79 ex_fr_female$Type: Predicted Year: 1989 Ex: 9.529966","Age: 79 ex_fr_female$Type: Predicted Year: 1990 Ex: 9.652554","Age: 79 ex_fr_female$Type: Predicted Year: 1991 Ex: 9.831763","Age: 79 ex_fr_female$Type: Predicted Year: 1992 Ex: 10.008818","Age: 79 ex_fr_female$Type: Predicted Year: 1993 Ex: 9.971178","Age: 79 ex_fr_female$Type: Predicted Year: 1994 Ex: 10.283841","Age: 79 ex_fr_female$Type: Predicted Year: 1995 Ex: 10.223558","Age: 79 ex_fr_female$Type: Predicted Year: 1996 Ex: 10.252619","Age: 79 ex_fr_female$Type: Predicted Year: 1997 Ex: 10.353439","Age: 79 ex_fr_female$Type: Predicted Year: 1998 Ex: 10.390851","Age: 79 ex_fr_female$Type: Predicted Year: 1999 Ex: 10.382073","Age: 79 ex_fr_female$Type: Predicted Year: 2000 Ex: 10.550504","Age: 79 ex_fr_female$Type: Predicted Year: 2001 Ex: 10.672163","Age: 79 ex_fr_female$Type: Predicted Year: 2002 Ex: 10.666827","Age: 79 ex_fr_female$Type: Predicted Year: 2003 Ex: 10.495080","Age: 79 ex_fr_female$Type: Predicted Year: 2004 Ex: 11.231365","Age: 79 ex_fr_female$Type: Predicted Year: 2005 Ex: 11.065659","Age: 79 ex_fr_female$Type: Predicted Year: 2006 Ex: 11.396563","Age: 79 ex_fr_female$Type: Predicted Year: 2007 Ex: 11.446490","Age: 79 ex_fr_female$Type: Predicted Year: 2008 Ex: 11.438538","Age: 79 ex_fr_female$Type: Predicted Year: 2009 Ex: 11.489169","Age: 79 ex_fr_female$Type: Predicted Year: 2010 Ex: 11.624112","Age: 79 ex_fr_female$Type: Predicted Year: 2011 Ex: 11.854979","Age: 79 ex_fr_female$Type: Predicted Year: 2012 Ex: 11.647371","Age: 79 ex_fr_female$Type: Predicted Year: 2013 Ex: 11.830047","Age: 79 ex_fr_female$Type: Predicted Year: 2014 Ex: 12.139261","Age: 79 ex_fr_female$Type: Predicted Year: 2015 Ex: 11.868202","Age: 79 ex_fr_female$Type: Predicted Year: 2016 Ex: 12.024744","Age: 79 ex_fr_female$Type: Predicted Year: 2017 Ex: 12.001096"],"frame":"79","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"80","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[4.9,5.04,5.18,5.15,4.75,5.26,5.08,5.1,5.31,5.17,4.83,5.19,5.04,4.79,4.86,4.86,4.64,5.22,4.93,5.07,5.1,4.39,4.91,5.27,4.84,5.06,4.81,4.89,4.92,5.1,4.92,4.44,4.67,4.6,4.98,4.77,4.83,4.53,4.38,4.28,4.82,4.69,4.41,4.51,4.91,4.82,4.95,4.91,4.72,4.7,4.86,4.74,4.62,4.68,4.21,4.14,5.2,4.76,5.05,4.69,4.83,4.96,4.66,4.51,4.69,4.95,4.97,4.89,4.92,5.01,5.01,5.1,4.88,5.11,4.71,4.6,4.53,4.63,4.82,4.51,5.04,5.07,4.72,4.73,4.46,4.82,4.97,4.87,4.77,4.75,4.79,4.63,4.95,4.68,5.04,4.67,5.21,5.15,4.72,4.83,4.78,4.59,4.73,4.7,5.23,5.15,4.91,5.28,5.18,4.99,5.03,5.04,5.23,4.7,5.62,5.05,5.33,5.26,5.64,5.39,5.5,5.71,5.5,5.36,4.53,5.1,5.1,5.2,4.75,5.23,5.89,6.02,6.4,5.61,6.08,5.69,6.16,5.74,6.3,6.19,5.98,6.29,6.46,6.51,6.42,6.8,6.38,6.34,6.86,6.67,6.94,6.87,6.82,6.9,7.08,7.01,7.22,7.09,7.24,7.23,7.31,7.65,7.57,7.71,7.71,7.64,7.9,7.73,8.04,7.99,8.11,8.48,8.59,8.6,8.73,8.89,9.06,9.02,9.33,9.28,9.3,9.4,9.43,9.42,9.58,9.7,9.69,9.52,10.24,10.08,10.39,10.45,10.44,10.48,10.61,10.84,10.63,10.8,11.11,10.84,11,10.97],"text":["Age: 80 ex_fr_female$Type: Observed Year: 1816 Ex: 4.900000","Age: 80 ex_fr_female$Type: Observed Year: 1817 Ex: 5.040000","Age: 80 ex_fr_female$Type: Observed Year: 1818 Ex: 5.180000","Age: 80 ex_fr_female$Type: Observed Year: 1819 Ex: 5.150000","Age: 80 ex_fr_female$Type: Observed Year: 1820 Ex: 4.750000","Age: 80 ex_fr_female$Type: Observed Year: 1821 Ex: 5.260000","Age: 80 ex_fr_female$Type: Observed Year: 1822 Ex: 5.080000","Age: 80 ex_fr_female$Type: Observed Year: 1823 Ex: 5.100000","Age: 80 ex_fr_female$Type: Observed Year: 1824 Ex: 5.310000","Age: 80 ex_fr_female$Type: Observed Year: 1825 Ex: 5.170000","Age: 80 ex_fr_female$Type: Observed Year: 1826 Ex: 4.830000","Age: 80 ex_fr_female$Type: Observed Year: 1827 Ex: 5.190000","Age: 80 ex_fr_female$Type: Observed Year: 1828 Ex: 5.040000","Age: 80 ex_fr_female$Type: Observed Year: 1829 Ex: 4.790000","Age: 80 ex_fr_female$Type: Observed Year: 1830 Ex: 4.860000","Age: 80 ex_fr_female$Type: Observed Year: 1831 Ex: 4.860000","Age: 80 ex_fr_female$Type: Observed Year: 1832 Ex: 4.640000","Age: 80 ex_fr_female$Type: Observed Year: 1833 Ex: 5.220000","Age: 80 ex_fr_female$Type: Observed Year: 1834 Ex: 4.930000","Age: 80 ex_fr_female$Type: Observed Year: 1835 Ex: 5.070000","Age: 80 ex_fr_female$Type: Observed Year: 1836 Ex: 5.100000","Age: 80 ex_fr_female$Type: Observed Year: 1837 Ex: 4.390000","Age: 80 ex_fr_female$Type: Observed Year: 1838 Ex: 4.910000","Age: 80 ex_fr_female$Type: Observed Year: 1839 Ex: 5.270000","Age: 80 ex_fr_female$Type: Observed Year: 1840 Ex: 4.840000","Age: 80 ex_fr_female$Type: Observed Year: 1841 Ex: 5.060000","Age: 80 ex_fr_female$Type: Observed Year: 1842 Ex: 4.810000","Age: 80 ex_fr_female$Type: Observed Year: 1843 Ex: 4.890000","Age: 80 ex_fr_female$Type: Observed Year: 1844 Ex: 4.920000","Age: 80 ex_fr_female$Type: Observed Year: 1845 Ex: 5.100000","Age: 80 ex_fr_female$Type: Observed Year: 1846 Ex: 4.920000","Age: 80 ex_fr_female$Type: Observed Year: 1847 Ex: 4.440000","Age: 80 ex_fr_female$Type: Observed Year: 1848 Ex: 4.670000","Age: 80 ex_fr_female$Type: Observed Year: 1849 Ex: 4.600000","Age: 80 ex_fr_female$Type: Observed Year: 1850 Ex: 4.980000","Age: 80 ex_fr_female$Type: Observed Year: 1851 Ex: 4.770000","Age: 80 ex_fr_female$Type: Observed Year: 1852 Ex: 4.830000","Age: 80 ex_fr_female$Type: Observed Year: 1853 Ex: 4.530000","Age: 80 ex_fr_female$Type: Observed Year: 1854 Ex: 4.380000","Age: 80 ex_fr_female$Type: Observed Year: 1855 Ex: 4.280000","Age: 80 ex_fr_female$Type: Observed Year: 1856 Ex: 4.820000","Age: 80 ex_fr_female$Type: Observed Year: 1857 Ex: 4.690000","Age: 80 ex_fr_female$Type: Observed Year: 1858 Ex: 4.410000","Age: 80 ex_fr_female$Type: Observed Year: 1859 Ex: 4.510000","Age: 80 ex_fr_female$Type: Observed Year: 1860 Ex: 4.910000","Age: 80 ex_fr_female$Type: Observed Year: 1861 Ex: 4.820000","Age: 80 ex_fr_female$Type: Observed Year: 1862 Ex: 4.950000","Age: 80 ex_fr_female$Type: Observed Year: 1863 Ex: 4.910000","Age: 80 ex_fr_female$Type: Observed Year: 1864 Ex: 4.720000","Age: 80 ex_fr_female$Type: Observed Year: 1865 Ex: 4.700000","Age: 80 ex_fr_female$Type: Observed Year: 1866 Ex: 4.860000","Age: 80 ex_fr_female$Type: Observed Year: 1867 Ex: 4.740000","Age: 80 ex_fr_female$Type: Observed Year: 1868 Ex: 4.620000","Age: 80 ex_fr_female$Type: Observed Year: 1869 Ex: 4.680000","Age: 80 ex_fr_female$Type: Observed Year: 1870 Ex: 4.210000","Age: 80 ex_fr_female$Type: Observed Year: 1871 Ex: 4.140000","Age: 80 ex_fr_female$Type: Observed Year: 1872 Ex: 5.200000","Age: 80 ex_fr_female$Type: Observed Year: 1873 Ex: 4.760000","Age: 80 ex_fr_female$Type: Observed Year: 1874 Ex: 5.050000","Age: 80 ex_fr_female$Type: Observed Year: 1875 Ex: 4.690000","Age: 80 ex_fr_female$Type: Observed Year: 1876 Ex: 4.830000","Age: 80 ex_fr_female$Type: Observed Year: 1877 Ex: 4.960000","Age: 80 ex_fr_female$Type: Observed Year: 1878 Ex: 4.660000","Age: 80 ex_fr_female$Type: Observed Year: 1879 Ex: 4.510000","Age: 80 ex_fr_female$Type: Observed Year: 1880 Ex: 4.690000","Age: 80 ex_fr_female$Type: Observed Year: 1881 Ex: 4.950000","Age: 80 ex_fr_female$Type: Observed Year: 1882 Ex: 4.970000","Age: 80 ex_fr_female$Type: Observed Year: 1883 Ex: 4.890000","Age: 80 ex_fr_female$Type: Observed Year: 1884 Ex: 4.920000","Age: 80 ex_fr_female$Type: Observed Year: 1885 Ex: 5.010000","Age: 80 ex_fr_female$Type: Observed Year: 1886 Ex: 5.010000","Age: 80 ex_fr_female$Type: Observed Year: 1887 Ex: 5.100000","Age: 80 ex_fr_female$Type: Observed Year: 1888 Ex: 4.880000","Age: 80 ex_fr_female$Type: Observed Year: 1889 Ex: 5.110000","Age: 80 ex_fr_female$Type: Observed Year: 1890 Ex: 4.710000","Age: 80 ex_fr_female$Type: Observed Year: 1891 Ex: 4.600000","Age: 80 ex_fr_female$Type: Observed Year: 1892 Ex: 4.530000","Age: 80 ex_fr_female$Type: Observed Year: 1893 Ex: 4.630000","Age: 80 ex_fr_female$Type: Observed Year: 1894 Ex: 4.820000","Age: 80 ex_fr_female$Type: Observed Year: 1895 Ex: 4.510000","Age: 80 ex_fr_female$Type: Observed Year: 1896 Ex: 5.040000","Age: 80 ex_fr_female$Type: Observed Year: 1897 Ex: 5.070000","Age: 80 ex_fr_female$Type: Observed Year: 1898 Ex: 4.720000","Age: 80 ex_fr_female$Type: Observed Year: 1899 Ex: 4.730000","Age: 80 ex_fr_female$Type: Observed Year: 1900 Ex: 4.460000","Age: 80 ex_fr_female$Type: Observed Year: 1901 Ex: 4.820000","Age: 80 ex_fr_female$Type: Observed Year: 1902 Ex: 4.970000","Age: 80 ex_fr_female$Type: Observed Year: 1903 Ex: 4.870000","Age: 80 ex_fr_female$Type: Observed Year: 1904 Ex: 4.770000","Age: 80 ex_fr_female$Type: Observed Year: 1905 Ex: 4.750000","Age: 80 ex_fr_female$Type: Observed Year: 1906 Ex: 4.790000","Age: 80 ex_fr_female$Type: Observed Year: 1907 Ex: 4.630000","Age: 80 ex_fr_female$Type: Observed Year: 1908 Ex: 4.950000","Age: 80 ex_fr_female$Type: Observed Year: 1909 Ex: 4.680000","Age: 80 ex_fr_female$Type: Observed Year: 1910 Ex: 5.040000","Age: 80 ex_fr_female$Type: Observed Year: 1911 Ex: 4.670000","Age: 80 ex_fr_female$Type: Observed Year: 1912 Ex: 5.210000","Age: 80 ex_fr_female$Type: Observed Year: 1913 Ex: 5.150000","Age: 80 ex_fr_female$Type: Observed Year: 1914 Ex: 4.720000","Age: 80 ex_fr_female$Type: Observed Year: 1915 Ex: 4.830000","Age: 80 ex_fr_female$Type: Observed Year: 1916 Ex: 4.780000","Age: 80 ex_fr_female$Type: Observed Year: 1917 Ex: 4.590000","Age: 80 ex_fr_female$Type: Observed Year: 1918 Ex: 4.730000","Age: 80 ex_fr_female$Type: Observed Year: 1919 Ex: 4.700000","Age: 80 ex_fr_female$Type: Observed Year: 1920 Ex: 5.230000","Age: 80 ex_fr_female$Type: Observed Year: 1921 Ex: 5.150000","Age: 80 ex_fr_female$Type: Observed Year: 1922 Ex: 4.910000","Age: 80 ex_fr_female$Type: Observed Year: 1923 Ex: 5.280000","Age: 80 ex_fr_female$Type: Observed Year: 1924 Ex: 5.180000","Age: 80 ex_fr_female$Type: Observed Year: 1925 Ex: 4.990000","Age: 80 ex_fr_female$Type: Observed Year: 1926 Ex: 5.030000","Age: 80 ex_fr_female$Type: Observed Year: 1927 Ex: 5.040000","Age: 80 ex_fr_female$Type: Observed Year: 1928 Ex: 5.230000","Age: 80 ex_fr_female$Type: Observed Year: 1929 Ex: 4.700000","Age: 80 ex_fr_female$Type: Observed Year: 1930 Ex: 5.620000","Age: 80 ex_fr_female$Type: Observed Year: 1931 Ex: 5.050000","Age: 80 ex_fr_female$Type: Observed Year: 1932 Ex: 5.330000","Age: 80 ex_fr_female$Type: Observed Year: 1933 Ex: 5.260000","Age: 80 ex_fr_female$Type: Observed Year: 1934 Ex: 5.640000","Age: 80 ex_fr_female$Type: Observed Year: 1935 Ex: 5.390000","Age: 80 ex_fr_female$Type: Observed Year: 1936 Ex: 5.500000","Age: 80 ex_fr_female$Type: Observed Year: 1937 Ex: 5.710000","Age: 80 ex_fr_female$Type: Observed Year: 1938 Ex: 5.500000","Age: 80 ex_fr_female$Type: Observed Year: 1939 Ex: 5.360000","Age: 80 ex_fr_female$Type: Observed Year: 1940 Ex: 4.530000","Age: 80 ex_fr_female$Type: Observed Year: 1941 Ex: 5.100000","Age: 80 ex_fr_female$Type: Observed Year: 1942 Ex: 5.100000","Age: 80 ex_fr_female$Type: Observed Year: 1943 Ex: 5.200000","Age: 80 ex_fr_female$Type: Observed Year: 1944 Ex: 4.750000","Age: 80 ex_fr_female$Type: Observed Year: 1945 Ex: 5.230000","Age: 80 ex_fr_female$Type: Observed Year: 1946 Ex: 5.890000","Age: 80 ex_fr_female$Type: Observed Year: 1947 Ex: 6.020000","Age: 80 ex_fr_female$Type: Observed Year: 1948 Ex: 6.400000","Age: 80 ex_fr_female$Type: Observed Year: 1949 Ex: 5.610000","Age: 80 ex_fr_female$Type: Observed Year: 1950 Ex: 6.080000","Age: 80 ex_fr_female$Type: Observed Year: 1951 Ex: 5.690000","Age: 80 ex_fr_female$Type: Observed Year: 1952 Ex: 6.160000","Age: 80 ex_fr_female$Type: Observed Year: 1953 Ex: 5.740000","Age: 80 ex_fr_female$Type: Observed Year: 1954 Ex: 6.300000","Age: 80 ex_fr_female$Type: Observed Year: 1955 Ex: 6.190000","Age: 80 ex_fr_female$Type: Observed Year: 1956 Ex: 5.980000","Age: 80 ex_fr_female$Type: Observed Year: 1957 Ex: 6.290000","Age: 80 ex_fr_female$Type: Observed Year: 1958 Ex: 6.460000","Age: 80 ex_fr_female$Type: Observed Year: 1959 Ex: 6.510000","Age: 80 ex_fr_female$Type: Observed Year: 1960 Ex: 6.420000","Age: 80 ex_fr_female$Type: Observed Year: 1961 Ex: 6.800000","Age: 80 ex_fr_female$Type: Observed Year: 1962 Ex: 6.380000","Age: 80 ex_fr_female$Type: Observed Year: 1963 Ex: 6.340000","Age: 80 ex_fr_female$Type: Observed Year: 1964 Ex: 6.860000","Age: 80 ex_fr_female$Type: Observed Year: 1965 Ex: 6.670000","Age: 80 ex_fr_female$Type: Observed Year: 1966 Ex: 6.940000","Age: 80 ex_fr_female$Type: Observed Year: 1967 Ex: 6.870000","Age: 80 ex_fr_female$Type: Observed Year: 1968 Ex: 6.820000","Age: 80 ex_fr_female$Type: Observed Year: 1969 Ex: 6.900000","Age: 80 ex_fr_female$Type: Observed Year: 1970 Ex: 7.080000","Age: 80 ex_fr_female$Type: Observed Year: 1971 Ex: 7.010000","Age: 80 ex_fr_female$Type: Observed Year: 1972 Ex: 7.220000","Age: 80 ex_fr_female$Type: Observed Year: 1973 Ex: 7.090000","Age: 80 ex_fr_female$Type: Observed Year: 1974 Ex: 7.240000","Age: 80 ex_fr_female$Type: Observed Year: 1975 Ex: 7.230000","Age: 80 ex_fr_female$Type: Observed Year: 1976 Ex: 7.310000","Age: 80 ex_fr_female$Type: Observed Year: 1977 Ex: 7.650000","Age: 80 ex_fr_female$Type: Observed Year: 1978 Ex: 7.570000","Age: 80 ex_fr_female$Type: Observed Year: 1979 Ex: 7.710000","Age: 80 ex_fr_female$Type: Observed Year: 1980 Ex: 7.710000","Age: 80 ex_fr_female$Type: Observed Year: 1981 Ex: 7.640000","Age: 80 ex_fr_female$Type: Observed Year: 1982 Ex: 7.900000","Age: 80 ex_fr_female$Type: Observed Year: 1983 Ex: 7.730000","Age: 80 ex_fr_female$Type: Observed Year: 1984 Ex: 8.040000","Age: 80 ex_fr_female$Type: Observed Year: 1985 Ex: 7.990000","Age: 80 ex_fr_female$Type: Observed Year: 1986 Ex: 8.110000","Age: 80 ex_fr_female$Type: Observed Year: 1987 Ex: 8.480000","Age: 80 ex_fr_female$Type: Observed Year: 1988 Ex: 8.590000","Age: 80 ex_fr_female$Type: Observed Year: 1989 Ex: 8.600000","Age: 80 ex_fr_female$Type: Observed Year: 1990 Ex: 8.730000","Age: 80 ex_fr_female$Type: Observed Year: 1991 Ex: 8.890000","Age: 80 ex_fr_female$Type: Observed Year: 1992 Ex: 9.060000","Age: 80 ex_fr_female$Type: Observed Year: 1993 Ex: 9.020000","Age: 80 ex_fr_female$Type: Observed Year: 1994 Ex: 9.330000","Age: 80 ex_fr_female$Type: Observed Year: 1995 Ex: 9.280000","Age: 80 ex_fr_female$Type: Observed Year: 1996 Ex: 9.300000","Age: 80 ex_fr_female$Type: Observed Year: 1997 Ex: 9.400000","Age: 80 ex_fr_female$Type: Observed Year: 1998 Ex: 9.430000","Age: 80 ex_fr_female$Type: Observed Year: 1999 Ex: 9.420000","Age: 80 ex_fr_female$Type: Observed Year: 2000 Ex: 9.580000","Age: 80 ex_fr_female$Type: Observed Year: 2001 Ex: 9.700000","Age: 80 ex_fr_female$Type: Observed Year: 2002 Ex: 9.690000","Age: 80 ex_fr_female$Type: Observed Year: 2003 Ex: 9.520000","Age: 80 ex_fr_female$Type: Observed Year: 2004 Ex: 10.240000","Age: 80 ex_fr_female$Type: Observed Year: 2005 Ex: 10.080000","Age: 80 ex_fr_female$Type: Observed Year: 2006 Ex: 10.390000","Age: 80 ex_fr_female$Type: Observed Year: 2007 Ex: 10.450000","Age: 80 ex_fr_female$Type: Observed Year: 2008 Ex: 10.440000","Age: 80 ex_fr_female$Type: Observed Year: 2009 Ex: 10.480000","Age: 80 ex_fr_female$Type: Observed Year: 2010 Ex: 10.610000","Age: 80 ex_fr_female$Type: Observed Year: 2011 Ex: 10.840000","Age: 80 ex_fr_female$Type: Observed Year: 2012 Ex: 10.630000","Age: 80 ex_fr_female$Type: Observed Year: 2013 Ex: 10.800000","Age: 80 ex_fr_female$Type: Observed Year: 2014 Ex: 11.110000","Age: 80 ex_fr_female$Type: Observed Year: 2015 Ex: 10.840000","Age: 80 ex_fr_female$Type: Observed Year: 2016 Ex: 11.000000","Age: 80 ex_fr_female$Type: Observed Year: 2017 Ex: 10.970000"],"frame":"80","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[5.33825268576198,5.46419666154332,5.60655124294399,5.57737237163913,5.18324668009415,5.69143243119953,5.49619430436627,5.51828411151955,5.73477614574863,5.588110627645,5.24950045132837,5.62024360495639,5.47625424672899,5.2127878269963,5.28970504613637,5.2805589752044,5.06917023688294,5.63830569317281,5.35302662389874,5.49147809880365,5.52301528504255,4.8245675409352,5.33900729640799,5.6917049783254,5.26044904713117,5.47594895362628,5.23472216131815,5.31438083567451,5.33952235621531,5.52112013194613,5.3323966103911,4.86208614563022,5.0880651781622,5.02027391450754,5.39303930349621,5.1830508699242,5.24449449045326,4.9460942442671,4.79109234591608,4.68527772035541,5.21593574227002,5.09532507418782,4.82404375326507,4.91612098029114,5.3079830463818,5.22200042415223,5.35196457449602,5.3144064719744,5.13021040329644,5.09983449124227,5.26041316610441,5.14748254615829,5.02853200887475,5.08620292775163,4.61873598890966,4.55135306818203,5.59614585774826,5.16266303709824,5.44575636084928,5.0941237677459,5.22921424173465,5.35366074209283,5.06485135293158,4.91272476549754,5.09536225961029,5.35032148138247,5.36930414600198,5.27878824890614,5.31973062609096,5.4003350450052,5.39960095592391,5.48582404984624,5.27385123968041,5.49906433056817,5.10338000659677,4.98902895079755,4.92709377922931,5.02077818030478,5.20664328654044,4.90014061322407,5.42909106530274,5.46918348246748,5.12033891778234,5.12119944788635,4.85731775758975,5.21151666795427,5.35853901357363,5.26647680652466,5.16130623747323,5.14212458473513,5.18255040143165,5.02349636776765,5.340335362267,5.07417724364751,5.43226199856355,5.05996011781165,5.59915687164727,5.5367933951921,5.11096157922673,5.22291063880351,5.1695221887869,4.98130331054046,5.11879283345912,5.08882458400581,5.61196419877312,5.53496931967771,5.29338875758129,5.66313564667769,5.56377036421663,5.36872879373026,5.41741867808487,5.42705374473413,5.60488868107928,5.08958862781433,5.99375533666482,5.4292528467122,5.7089299143058,5.63646739884572,6.01666404414031,5.76686829277092,5.87775080792577,6.07780395750423,5.87267854794646,5.73517412819788,4.9136826370708,5.47797630762827,5.47130303417933,5.57759331803218,5.13481803582607,5.60280013032122,6.2571888762183,6.39076227631486,6.76645982931356,5.98455357275552,6.44673644379575,6.05936756266237,6.52542249342254,6.10889697551843,6.65487927106295,6.55460965126289,6.34323013509537,6.64247302965994,6.82059850992898,6.86876717147863,6.7741803541399,7.15087532282765,6.74003901225806,6.69059273314749,7.20586895310665,7.01809152414494,7.2865613739377,7.21447860182311,7.16839562065423,7.25250837541444,7.42451816783403,7.35018756854068,7.56129659926931,7.4375196368156,7.57835051616751,7.57052091925469,7.65080807831498,7.98719227939889,7.91040033834063,8.04441478435105,8.04932017291007,7.97230381956113,8.23185777757436,8.06188166508684,8.37052779658936,8.32026447894451,8.44247369464486,8.80178299865246,8.91760893812995,8.92508888109513,9.04625753452953,9.21061154596576,9.37823790061458,9.33864363481218,9.64677708944681,9.59404855474788,9.61014907660473,9.71762877405199,9.74688658551254,9.73287818664887,9.89022892969884,10.0105314236626,10.0017610355877,9.82745504524999,10.5453859055478,10.38255670916,10.6984923108654,10.7507029320064,10.7429792668721,10.7809067542704,10.9128102946624,11.1383721896958,10.9344997391094,11.1039945865185,11.4068621979666,11.1356218495285,11.2944304773808,11.2637562789607],"text":["Age: 80 ex_fr_female$Type: Predicted Year: 1816 Ex: 5.338253","Age: 80 ex_fr_female$Type: Predicted Year: 1817 Ex: 5.464197","Age: 80 ex_fr_female$Type: Predicted Year: 1818 Ex: 5.606551","Age: 80 ex_fr_female$Type: Predicted Year: 1819 Ex: 5.577372","Age: 80 ex_fr_female$Type: Predicted Year: 1820 Ex: 5.183247","Age: 80 ex_fr_female$Type: Predicted Year: 1821 Ex: 5.691432","Age: 80 ex_fr_female$Type: Predicted Year: 1822 Ex: 5.496194","Age: 80 ex_fr_female$Type: Predicted Year: 1823 Ex: 5.518284","Age: 80 ex_fr_female$Type: Predicted Year: 1824 Ex: 5.734776","Age: 80 ex_fr_female$Type: Predicted Year: 1825 Ex: 5.588111","Age: 80 ex_fr_female$Type: Predicted Year: 1826 Ex: 5.249500","Age: 80 ex_fr_female$Type: Predicted Year: 1827 Ex: 5.620244","Age: 80 ex_fr_female$Type: Predicted Year: 1828 Ex: 5.476254","Age: 80 ex_fr_female$Type: Predicted Year: 1829 Ex: 5.212788","Age: 80 ex_fr_female$Type: Predicted Year: 1830 Ex: 5.289705","Age: 80 ex_fr_female$Type: Predicted Year: 1831 Ex: 5.280559","Age: 80 ex_fr_female$Type: Predicted Year: 1832 Ex: 5.069170","Age: 80 ex_fr_female$Type: Predicted Year: 1833 Ex: 5.638306","Age: 80 ex_fr_female$Type: Predicted Year: 1834 Ex: 5.353027","Age: 80 ex_fr_female$Type: Predicted Year: 1835 Ex: 5.491478","Age: 80 ex_fr_female$Type: Predicted Year: 1836 Ex: 5.523015","Age: 80 ex_fr_female$Type: Predicted Year: 1837 Ex: 4.824568","Age: 80 ex_fr_female$Type: Predicted Year: 1838 Ex: 5.339007","Age: 80 ex_fr_female$Type: Predicted Year: 1839 Ex: 5.691705","Age: 80 ex_fr_female$Type: Predicted Year: 1840 Ex: 5.260449","Age: 80 ex_fr_female$Type: Predicted Year: 1841 Ex: 5.475949","Age: 80 ex_fr_female$Type: Predicted Year: 1842 Ex: 5.234722","Age: 80 ex_fr_female$Type: Predicted Year: 1843 Ex: 5.314381","Age: 80 ex_fr_female$Type: Predicted Year: 1844 Ex: 5.339522","Age: 80 ex_fr_female$Type: Predicted Year: 1845 Ex: 5.521120","Age: 80 ex_fr_female$Type: Predicted Year: 1846 Ex: 5.332397","Age: 80 ex_fr_female$Type: Predicted Year: 1847 Ex: 4.862086","Age: 80 ex_fr_female$Type: Predicted Year: 1848 Ex: 5.088065","Age: 80 ex_fr_female$Type: Predicted Year: 1849 Ex: 5.020274","Age: 80 ex_fr_female$Type: Predicted Year: 1850 Ex: 5.393039","Age: 80 ex_fr_female$Type: Predicted Year: 1851 Ex: 5.183051","Age: 80 ex_fr_female$Type: Predicted Year: 1852 Ex: 5.244494","Age: 80 ex_fr_female$Type: Predicted Year: 1853 Ex: 4.946094","Age: 80 ex_fr_female$Type: Predicted Year: 1854 Ex: 4.791092","Age: 80 ex_fr_female$Type: Predicted Year: 1855 Ex: 4.685278","Age: 80 ex_fr_female$Type: Predicted Year: 1856 Ex: 5.215936","Age: 80 ex_fr_female$Type: Predicted Year: 1857 Ex: 5.095325","Age: 80 ex_fr_female$Type: Predicted Year: 1858 Ex: 4.824044","Age: 80 ex_fr_female$Type: Predicted Year: 1859 Ex: 4.916121","Age: 80 ex_fr_female$Type: Predicted Year: 1860 Ex: 5.307983","Age: 80 ex_fr_female$Type: Predicted Year: 1861 Ex: 5.222000","Age: 80 ex_fr_female$Type: Predicted Year: 1862 Ex: 5.351965","Age: 80 ex_fr_female$Type: Predicted Year: 1863 Ex: 5.314406","Age: 80 ex_fr_female$Type: Predicted Year: 1864 Ex: 5.130210","Age: 80 ex_fr_female$Type: Predicted Year: 1865 Ex: 5.099834","Age: 80 ex_fr_female$Type: Predicted Year: 1866 Ex: 5.260413","Age: 80 ex_fr_female$Type: Predicted Year: 1867 Ex: 5.147483","Age: 80 ex_fr_female$Type: Predicted Year: 1868 Ex: 5.028532","Age: 80 ex_fr_female$Type: Predicted Year: 1869 Ex: 5.086203","Age: 80 ex_fr_female$Type: Predicted Year: 1870 Ex: 4.618736","Age: 80 ex_fr_female$Type: Predicted Year: 1871 Ex: 4.551353","Age: 80 ex_fr_female$Type: Predicted Year: 1872 Ex: 5.596146","Age: 80 ex_fr_female$Type: Predicted Year: 1873 Ex: 5.162663","Age: 80 ex_fr_female$Type: Predicted Year: 1874 Ex: 5.445756","Age: 80 ex_fr_female$Type: Predicted Year: 1875 Ex: 5.094124","Age: 80 ex_fr_female$Type: Predicted Year: 1876 Ex: 5.229214","Age: 80 ex_fr_female$Type: Predicted Year: 1877 Ex: 5.353661","Age: 80 ex_fr_female$Type: Predicted Year: 1878 Ex: 5.064851","Age: 80 ex_fr_female$Type: Predicted Year: 1879 Ex: 4.912725","Age: 80 ex_fr_female$Type: Predicted Year: 1880 Ex: 5.095362","Age: 80 ex_fr_female$Type: Predicted Year: 1881 Ex: 5.350321","Age: 80 ex_fr_female$Type: Predicted Year: 1882 Ex: 5.369304","Age: 80 ex_fr_female$Type: Predicted Year: 1883 Ex: 5.278788","Age: 80 ex_fr_female$Type: Predicted Year: 1884 Ex: 5.319731","Age: 80 ex_fr_female$Type: Predicted Year: 1885 Ex: 5.400335","Age: 80 ex_fr_female$Type: Predicted Year: 1886 Ex: 5.399601","Age: 80 ex_fr_female$Type: Predicted Year: 1887 Ex: 5.485824","Age: 80 ex_fr_female$Type: Predicted Year: 1888 Ex: 5.273851","Age: 80 ex_fr_female$Type: Predicted Year: 1889 Ex: 5.499064","Age: 80 ex_fr_female$Type: Predicted Year: 1890 Ex: 5.103380","Age: 80 ex_fr_female$Type: Predicted Year: 1891 Ex: 4.989029","Age: 80 ex_fr_female$Type: Predicted Year: 1892 Ex: 4.927094","Age: 80 ex_fr_female$Type: Predicted Year: 1893 Ex: 5.020778","Age: 80 ex_fr_female$Type: Predicted Year: 1894 Ex: 5.206643","Age: 80 ex_fr_female$Type: Predicted Year: 1895 Ex: 4.900141","Age: 80 ex_fr_female$Type: Predicted Year: 1896 Ex: 5.429091","Age: 80 ex_fr_female$Type: Predicted Year: 1897 Ex: 5.469183","Age: 80 ex_fr_female$Type: Predicted Year: 1898 Ex: 5.120339","Age: 80 ex_fr_female$Type: Predicted Year: 1899 Ex: 5.121199","Age: 80 ex_fr_female$Type: Predicted Year: 1900 Ex: 4.857318","Age: 80 ex_fr_female$Type: Predicted Year: 1901 Ex: 5.211517","Age: 80 ex_fr_female$Type: Predicted Year: 1902 Ex: 5.358539","Age: 80 ex_fr_female$Type: Predicted Year: 1903 Ex: 5.266477","Age: 80 ex_fr_female$Type: Predicted Year: 1904 Ex: 5.161306","Age: 80 ex_fr_female$Type: Predicted Year: 1905 Ex: 5.142125","Age: 80 ex_fr_female$Type: Predicted Year: 1906 Ex: 5.182550","Age: 80 ex_fr_female$Type: Predicted Year: 1907 Ex: 5.023496","Age: 80 ex_fr_female$Type: Predicted Year: 1908 Ex: 5.340335","Age: 80 ex_fr_female$Type: Predicted Year: 1909 Ex: 5.074177","Age: 80 ex_fr_female$Type: Predicted Year: 1910 Ex: 5.432262","Age: 80 ex_fr_female$Type: Predicted Year: 1911 Ex: 5.059960","Age: 80 ex_fr_female$Type: Predicted Year: 1912 Ex: 5.599157","Age: 80 ex_fr_female$Type: Predicted Year: 1913 Ex: 5.536793","Age: 80 ex_fr_female$Type: Predicted Year: 1914 Ex: 5.110962","Age: 80 ex_fr_female$Type: Predicted Year: 1915 Ex: 5.222911","Age: 80 ex_fr_female$Type: Predicted Year: 1916 Ex: 5.169522","Age: 80 ex_fr_female$Type: Predicted Year: 1917 Ex: 4.981303","Age: 80 ex_fr_female$Type: Predicted Year: 1918 Ex: 5.118793","Age: 80 ex_fr_female$Type: Predicted Year: 1919 Ex: 5.088825","Age: 80 ex_fr_female$Type: Predicted Year: 1920 Ex: 5.611964","Age: 80 ex_fr_female$Type: Predicted Year: 1921 Ex: 5.534969","Age: 80 ex_fr_female$Type: Predicted Year: 1922 Ex: 5.293389","Age: 80 ex_fr_female$Type: Predicted Year: 1923 Ex: 5.663136","Age: 80 ex_fr_female$Type: Predicted Year: 1924 Ex: 5.563770","Age: 80 ex_fr_female$Type: Predicted Year: 1925 Ex: 5.368729","Age: 80 ex_fr_female$Type: Predicted Year: 1926 Ex: 5.417419","Age: 80 ex_fr_female$Type: Predicted Year: 1927 Ex: 5.427054","Age: 80 ex_fr_female$Type: Predicted Year: 1928 Ex: 5.604889","Age: 80 ex_fr_female$Type: Predicted Year: 1929 Ex: 5.089589","Age: 80 ex_fr_female$Type: Predicted Year: 1930 Ex: 5.993755","Age: 80 ex_fr_female$Type: Predicted Year: 1931 Ex: 5.429253","Age: 80 ex_fr_female$Type: Predicted Year: 1932 Ex: 5.708930","Age: 80 ex_fr_female$Type: Predicted Year: 1933 Ex: 5.636467","Age: 80 ex_fr_female$Type: Predicted Year: 1934 Ex: 6.016664","Age: 80 ex_fr_female$Type: Predicted Year: 1935 Ex: 5.766868","Age: 80 ex_fr_female$Type: Predicted Year: 1936 Ex: 5.877751","Age: 80 ex_fr_female$Type: Predicted Year: 1937 Ex: 6.077804","Age: 80 ex_fr_female$Type: Predicted Year: 1938 Ex: 5.872679","Age: 80 ex_fr_female$Type: Predicted Year: 1939 Ex: 5.735174","Age: 80 ex_fr_female$Type: Predicted Year: 1940 Ex: 4.913683","Age: 80 ex_fr_female$Type: Predicted Year: 1941 Ex: 5.477976","Age: 80 ex_fr_female$Type: Predicted Year: 1942 Ex: 5.471303","Age: 80 ex_fr_female$Type: Predicted Year: 1943 Ex: 5.577593","Age: 80 ex_fr_female$Type: Predicted Year: 1944 Ex: 5.134818","Age: 80 ex_fr_female$Type: Predicted Year: 1945 Ex: 5.602800","Age: 80 ex_fr_female$Type: Predicted Year: 1946 Ex: 6.257189","Age: 80 ex_fr_female$Type: Predicted Year: 1947 Ex: 6.390762","Age: 80 ex_fr_female$Type: Predicted Year: 1948 Ex: 6.766460","Age: 80 ex_fr_female$Type: Predicted Year: 1949 Ex: 5.984554","Age: 80 ex_fr_female$Type: Predicted Year: 1950 Ex: 6.446736","Age: 80 ex_fr_female$Type: Predicted Year: 1951 Ex: 6.059368","Age: 80 ex_fr_female$Type: Predicted Year: 1952 Ex: 6.525422","Age: 80 ex_fr_female$Type: Predicted Year: 1953 Ex: 6.108897","Age: 80 ex_fr_female$Type: Predicted Year: 1954 Ex: 6.654879","Age: 80 ex_fr_female$Type: Predicted Year: 1955 Ex: 6.554610","Age: 80 ex_fr_female$Type: Predicted Year: 1956 Ex: 6.343230","Age: 80 ex_fr_female$Type: Predicted Year: 1957 Ex: 6.642473","Age: 80 ex_fr_female$Type: Predicted Year: 1958 Ex: 6.820599","Age: 80 ex_fr_female$Type: Predicted Year: 1959 Ex: 6.868767","Age: 80 ex_fr_female$Type: Predicted Year: 1960 Ex: 6.774180","Age: 80 ex_fr_female$Type: Predicted Year: 1961 Ex: 7.150875","Age: 80 ex_fr_female$Type: Predicted Year: 1962 Ex: 6.740039","Age: 80 ex_fr_female$Type: Predicted Year: 1963 Ex: 6.690593","Age: 80 ex_fr_female$Type: Predicted Year: 1964 Ex: 7.205869","Age: 80 ex_fr_female$Type: Predicted Year: 1965 Ex: 7.018092","Age: 80 ex_fr_female$Type: Predicted Year: 1966 Ex: 7.286561","Age: 80 ex_fr_female$Type: Predicted Year: 1967 Ex: 7.214479","Age: 80 ex_fr_female$Type: Predicted Year: 1968 Ex: 7.168396","Age: 80 ex_fr_female$Type: Predicted Year: 1969 Ex: 7.252508","Age: 80 ex_fr_female$Type: Predicted Year: 1970 Ex: 7.424518","Age: 80 ex_fr_female$Type: Predicted Year: 1971 Ex: 7.350188","Age: 80 ex_fr_female$Type: Predicted Year: 1972 Ex: 7.561297","Age: 80 ex_fr_female$Type: Predicted Year: 1973 Ex: 7.437520","Age: 80 ex_fr_female$Type: Predicted Year: 1974 Ex: 7.578351","Age: 80 ex_fr_female$Type: Predicted Year: 1975 Ex: 7.570521","Age: 80 ex_fr_female$Type: Predicted Year: 1976 Ex: 7.650808","Age: 80 ex_fr_female$Type: Predicted Year: 1977 Ex: 7.987192","Age: 80 ex_fr_female$Type: Predicted Year: 1978 Ex: 7.910400","Age: 80 ex_fr_female$Type: Predicted Year: 1979 Ex: 8.044415","Age: 80 ex_fr_female$Type: Predicted Year: 1980 Ex: 8.049320","Age: 80 ex_fr_female$Type: Predicted Year: 1981 Ex: 7.972304","Age: 80 ex_fr_female$Type: Predicted Year: 1982 Ex: 8.231858","Age: 80 ex_fr_female$Type: Predicted Year: 1983 Ex: 8.061882","Age: 80 ex_fr_female$Type: Predicted Year: 1984 Ex: 8.370528","Age: 80 ex_fr_female$Type: Predicted Year: 1985 Ex: 8.320264","Age: 80 ex_fr_female$Type: Predicted Year: 1986 Ex: 8.442474","Age: 80 ex_fr_female$Type: Predicted Year: 1987 Ex: 8.801783","Age: 80 ex_fr_female$Type: Predicted Year: 1988 Ex: 8.917609","Age: 80 ex_fr_female$Type: Predicted Year: 1989 Ex: 8.925089","Age: 80 ex_fr_female$Type: Predicted Year: 1990 Ex: 9.046258","Age: 80 ex_fr_female$Type: Predicted Year: 1991 Ex: 9.210612","Age: 80 ex_fr_female$Type: Predicted Year: 1992 Ex: 9.378238","Age: 80 ex_fr_female$Type: Predicted Year: 1993 Ex: 9.338644","Age: 80 ex_fr_female$Type: Predicted Year: 1994 Ex: 9.646777","Age: 80 ex_fr_female$Type: Predicted Year: 1995 Ex: 9.594049","Age: 80 ex_fr_female$Type: Predicted Year: 1996 Ex: 9.610149","Age: 80 ex_fr_female$Type: Predicted Year: 1997 Ex: 9.717629","Age: 80 ex_fr_female$Type: Predicted Year: 1998 Ex: 9.746887","Age: 80 ex_fr_female$Type: Predicted Year: 1999 Ex: 9.732878","Age: 80 ex_fr_female$Type: Predicted Year: 2000 Ex: 9.890229","Age: 80 ex_fr_female$Type: Predicted Year: 2001 Ex: 10.010531","Age: 80 ex_fr_female$Type: Predicted Year: 2002 Ex: 10.001761","Age: 80 ex_fr_female$Type: Predicted Year: 2003 Ex: 9.827455","Age: 80 ex_fr_female$Type: Predicted Year: 2004 Ex: 10.545386","Age: 80 ex_fr_female$Type: Predicted Year: 2005 Ex: 10.382557","Age: 80 ex_fr_female$Type: Predicted Year: 2006 Ex: 10.698492","Age: 80 ex_fr_female$Type: Predicted Year: 2007 Ex: 10.750703","Age: 80 ex_fr_female$Type: Predicted Year: 2008 Ex: 10.742979","Age: 80 ex_fr_female$Type: Predicted Year: 2009 Ex: 10.780907","Age: 80 ex_fr_female$Type: Predicted Year: 2010 Ex: 10.912810","Age: 80 ex_fr_female$Type: Predicted Year: 2011 Ex: 11.138372","Age: 80 ex_fr_female$Type: Predicted Year: 2012 Ex: 10.934500","Age: 80 ex_fr_female$Type: Predicted Year: 2013 Ex: 11.103995","Age: 80 ex_fr_female$Type: Predicted Year: 2014 Ex: 11.406862","Age: 80 ex_fr_female$Type: Predicted Year: 2015 Ex: 11.135622","Age: 80 ex_fr_female$Type: Predicted Year: 2016 Ex: 11.294430","Age: 80 ex_fr_female$Type: Predicted Year: 2017 Ex: 11.263756"],"frame":"80","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"81","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[4.67,4.8,4.94,4.9,4.51,5.01,4.8,4.83,5.06,4.9,4.58,4.95,4.81,4.54,4.61,4.59,4.41,4.96,4.67,4.81,4.84,4.16,4.66,5.02,4.57,4.78,4.56,4.63,4.65,4.83,4.64,4.17,4.4,4.34,4.7,4.49,4.56,4.26,4.12,4.01,4.51,4.39,4.14,4.23,4.62,4.53,4.66,4.62,4.44,4.42,4.58,4.46,4.34,4.4,3.94,3.88,4.89,4.46,4.75,4.41,4.53,4.65,4.37,4.22,4.41,4.66,4.68,4.58,4.62,4.7,4.69,4.77,4.57,4.79,4.41,4.31,4.26,4.36,4.51,4.2,4.72,4.83,4.47,4.48,4.24,4.57,4.69,4.62,4.51,4.49,4.52,4.34,4.67,4.39,4.75,4.36,4.91,4.86,4.41,4.53,4.48,4.28,4.44,4.4,4.92,4.83,4.6,4.97,4.87,4.68,4.72,4.73,4.88,4.4,5.27,4.73,5,4.92,5.3,5.03,5.17,5.35,5.16,5.02,4.23,4.75,4.75,4.86,4.43,4.89,5.53,5.64,6.01,5.25,5.69,5.31,5.76,5.35,5.9,5.79,5.57,5.86,6.04,6.09,5.99,6.35,5.95,5.91,6.41,6.23,6.49,6.41,6.37,6.46,6.61,6.54,6.74,6.61,6.76,6.75,6.81,7.15,7.07,7.19,7.2,7.12,7.37,7.2,7.5,7.45,7.56,7.92,8.03,8.02,8.14,8.3,8.45,8.42,8.72,8.66,8.69,8.77,8.8,8.79,8.94,9.06,9.04,8.87,9.58,9.42,9.72,9.78,9.76,9.78,9.92,10.14,9.94,10.1,10.39,10.12,10.28,10.25],"text":["Age: 81 ex_fr_female$Type: Observed Year: 1816 Ex: 4.670000","Age: 81 ex_fr_female$Type: Observed Year: 1817 Ex: 4.800000","Age: 81 ex_fr_female$Type: Observed Year: 1818 Ex: 4.940000","Age: 81 ex_fr_female$Type: Observed Year: 1819 Ex: 4.900000","Age: 81 ex_fr_female$Type: Observed Year: 1820 Ex: 4.510000","Age: 81 ex_fr_female$Type: Observed Year: 1821 Ex: 5.010000","Age: 81 ex_fr_female$Type: Observed Year: 1822 Ex: 4.800000","Age: 81 ex_fr_female$Type: Observed Year: 1823 Ex: 4.830000","Age: 81 ex_fr_female$Type: Observed Year: 1824 Ex: 5.060000","Age: 81 ex_fr_female$Type: Observed Year: 1825 Ex: 4.900000","Age: 81 ex_fr_female$Type: Observed Year: 1826 Ex: 4.580000","Age: 81 ex_fr_female$Type: Observed Year: 1827 Ex: 4.950000","Age: 81 ex_fr_female$Type: Observed Year: 1828 Ex: 4.810000","Age: 81 ex_fr_female$Type: Observed Year: 1829 Ex: 4.540000","Age: 81 ex_fr_female$Type: Observed Year: 1830 Ex: 4.610000","Age: 81 ex_fr_female$Type: Observed Year: 1831 Ex: 4.590000","Age: 81 ex_fr_female$Type: Observed Year: 1832 Ex: 4.410000","Age: 81 ex_fr_female$Type: Observed Year: 1833 Ex: 4.960000","Age: 81 ex_fr_female$Type: Observed Year: 1834 Ex: 4.670000","Age: 81 ex_fr_female$Type: Observed Year: 1835 Ex: 4.810000","Age: 81 ex_fr_female$Type: Observed Year: 1836 Ex: 4.840000","Age: 81 ex_fr_female$Type: Observed Year: 1837 Ex: 4.160000","Age: 81 ex_fr_female$Type: Observed Year: 1838 Ex: 4.660000","Age: 81 ex_fr_female$Type: Observed Year: 1839 Ex: 5.020000","Age: 81 ex_fr_female$Type: Observed Year: 1840 Ex: 4.570000","Age: 81 ex_fr_female$Type: Observed Year: 1841 Ex: 4.780000","Age: 81 ex_fr_female$Type: Observed Year: 1842 Ex: 4.560000","Age: 81 ex_fr_female$Type: Observed Year: 1843 Ex: 4.630000","Age: 81 ex_fr_female$Type: Observed Year: 1844 Ex: 4.650000","Age: 81 ex_fr_female$Type: Observed Year: 1845 Ex: 4.830000","Age: 81 ex_fr_female$Type: Observed Year: 1846 Ex: 4.640000","Age: 81 ex_fr_female$Type: Observed Year: 1847 Ex: 4.170000","Age: 81 ex_fr_female$Type: Observed Year: 1848 Ex: 4.400000","Age: 81 ex_fr_female$Type: Observed Year: 1849 Ex: 4.340000","Age: 81 ex_fr_female$Type: Observed Year: 1850 Ex: 4.700000","Age: 81 ex_fr_female$Type: Observed Year: 1851 Ex: 4.490000","Age: 81 ex_fr_female$Type: Observed Year: 1852 Ex: 4.560000","Age: 81 ex_fr_female$Type: Observed Year: 1853 Ex: 4.260000","Age: 81 ex_fr_female$Type: Observed Year: 1854 Ex: 4.120000","Age: 81 ex_fr_female$Type: Observed Year: 1855 Ex: 4.010000","Age: 81 ex_fr_female$Type: Observed Year: 1856 Ex: 4.510000","Age: 81 ex_fr_female$Type: Observed Year: 1857 Ex: 4.390000","Age: 81 ex_fr_female$Type: Observed Year: 1858 Ex: 4.140000","Age: 81 ex_fr_female$Type: Observed Year: 1859 Ex: 4.230000","Age: 81 ex_fr_female$Type: Observed Year: 1860 Ex: 4.620000","Age: 81 ex_fr_female$Type: Observed Year: 1861 Ex: 4.530000","Age: 81 ex_fr_female$Type: Observed Year: 1862 Ex: 4.660000","Age: 81 ex_fr_female$Type: Observed Year: 1863 Ex: 4.620000","Age: 81 ex_fr_female$Type: Observed Year: 1864 Ex: 4.440000","Age: 81 ex_fr_female$Type: Observed Year: 1865 Ex: 4.420000","Age: 81 ex_fr_female$Type: Observed Year: 1866 Ex: 4.580000","Age: 81 ex_fr_female$Type: Observed Year: 1867 Ex: 4.460000","Age: 81 ex_fr_female$Type: Observed Year: 1868 Ex: 4.340000","Age: 81 ex_fr_female$Type: Observed Year: 1869 Ex: 4.400000","Age: 81 ex_fr_female$Type: Observed Year: 1870 Ex: 3.940000","Age: 81 ex_fr_female$Type: Observed Year: 1871 Ex: 3.880000","Age: 81 ex_fr_female$Type: Observed Year: 1872 Ex: 4.890000","Age: 81 ex_fr_female$Type: Observed Year: 1873 Ex: 4.460000","Age: 81 ex_fr_female$Type: Observed Year: 1874 Ex: 4.750000","Age: 81 ex_fr_female$Type: Observed Year: 1875 Ex: 4.410000","Age: 81 ex_fr_female$Type: Observed Year: 1876 Ex: 4.530000","Age: 81 ex_fr_female$Type: Observed Year: 1877 Ex: 4.650000","Age: 81 ex_fr_female$Type: Observed Year: 1878 Ex: 4.370000","Age: 81 ex_fr_female$Type: Observed Year: 1879 Ex: 4.220000","Age: 81 ex_fr_female$Type: Observed Year: 1880 Ex: 4.410000","Age: 81 ex_fr_female$Type: Observed Year: 1881 Ex: 4.660000","Age: 81 ex_fr_female$Type: Observed Year: 1882 Ex: 4.680000","Age: 81 ex_fr_female$Type: Observed Year: 1883 Ex: 4.580000","Age: 81 ex_fr_female$Type: Observed Year: 1884 Ex: 4.620000","Age: 81 ex_fr_female$Type: Observed Year: 1885 Ex: 4.700000","Age: 81 ex_fr_female$Type: Observed Year: 1886 Ex: 4.690000","Age: 81 ex_fr_female$Type: Observed Year: 1887 Ex: 4.770000","Age: 81 ex_fr_female$Type: Observed Year: 1888 Ex: 4.570000","Age: 81 ex_fr_female$Type: Observed Year: 1889 Ex: 4.790000","Age: 81 ex_fr_female$Type: Observed Year: 1890 Ex: 4.410000","Age: 81 ex_fr_female$Type: Observed Year: 1891 Ex: 4.310000","Age: 81 ex_fr_female$Type: Observed Year: 1892 Ex: 4.260000","Age: 81 ex_fr_female$Type: Observed Year: 1893 Ex: 4.360000","Age: 81 ex_fr_female$Type: Observed Year: 1894 Ex: 4.510000","Age: 81 ex_fr_female$Type: Observed Year: 1895 Ex: 4.200000","Age: 81 ex_fr_female$Type: Observed Year: 1896 Ex: 4.720000","Age: 81 ex_fr_female$Type: Observed Year: 1897 Ex: 4.830000","Age: 81 ex_fr_female$Type: Observed Year: 1898 Ex: 4.470000","Age: 81 ex_fr_female$Type: Observed Year: 1899 Ex: 4.480000","Age: 81 ex_fr_female$Type: Observed Year: 1900 Ex: 4.240000","Age: 81 ex_fr_female$Type: Observed Year: 1901 Ex: 4.570000","Age: 81 ex_fr_female$Type: Observed Year: 1902 Ex: 4.690000","Age: 81 ex_fr_female$Type: Observed Year: 1903 Ex: 4.620000","Age: 81 ex_fr_female$Type: Observed Year: 1904 Ex: 4.510000","Age: 81 ex_fr_female$Type: Observed Year: 1905 Ex: 4.490000","Age: 81 ex_fr_female$Type: Observed Year: 1906 Ex: 4.520000","Age: 81 ex_fr_female$Type: Observed Year: 1907 Ex: 4.340000","Age: 81 ex_fr_female$Type: Observed Year: 1908 Ex: 4.670000","Age: 81 ex_fr_female$Type: Observed Year: 1909 Ex: 4.390000","Age: 81 ex_fr_female$Type: Observed Year: 1910 Ex: 4.750000","Age: 81 ex_fr_female$Type: Observed Year: 1911 Ex: 4.360000","Age: 81 ex_fr_female$Type: Observed Year: 1912 Ex: 4.910000","Age: 81 ex_fr_female$Type: Observed Year: 1913 Ex: 4.860000","Age: 81 ex_fr_female$Type: Observed Year: 1914 Ex: 4.410000","Age: 81 ex_fr_female$Type: Observed Year: 1915 Ex: 4.530000","Age: 81 ex_fr_female$Type: Observed Year: 1916 Ex: 4.480000","Age: 81 ex_fr_female$Type: Observed Year: 1917 Ex: 4.280000","Age: 81 ex_fr_female$Type: Observed Year: 1918 Ex: 4.440000","Age: 81 ex_fr_female$Type: Observed Year: 1919 Ex: 4.400000","Age: 81 ex_fr_female$Type: Observed Year: 1920 Ex: 4.920000","Age: 81 ex_fr_female$Type: Observed Year: 1921 Ex: 4.830000","Age: 81 ex_fr_female$Type: Observed Year: 1922 Ex: 4.600000","Age: 81 ex_fr_female$Type: Observed Year: 1923 Ex: 4.970000","Age: 81 ex_fr_female$Type: Observed Year: 1924 Ex: 4.870000","Age: 81 ex_fr_female$Type: Observed Year: 1925 Ex: 4.680000","Age: 81 ex_fr_female$Type: Observed Year: 1926 Ex: 4.720000","Age: 81 ex_fr_female$Type: Observed Year: 1927 Ex: 4.730000","Age: 81 ex_fr_female$Type: Observed Year: 1928 Ex: 4.880000","Age: 81 ex_fr_female$Type: Observed Year: 1929 Ex: 4.400000","Age: 81 ex_fr_female$Type: Observed Year: 1930 Ex: 5.270000","Age: 81 ex_fr_female$Type: Observed Year: 1931 Ex: 4.730000","Age: 81 ex_fr_female$Type: Observed Year: 1932 Ex: 5.000000","Age: 81 ex_fr_female$Type: Observed Year: 1933 Ex: 4.920000","Age: 81 ex_fr_female$Type: Observed Year: 1934 Ex: 5.300000","Age: 81 ex_fr_female$Type: Observed Year: 1935 Ex: 5.030000","Age: 81 ex_fr_female$Type: Observed Year: 1936 Ex: 5.170000","Age: 81 ex_fr_female$Type: Observed Year: 1937 Ex: 5.350000","Age: 81 ex_fr_female$Type: Observed Year: 1938 Ex: 5.160000","Age: 81 ex_fr_female$Type: Observed Year: 1939 Ex: 5.020000","Age: 81 ex_fr_female$Type: Observed Year: 1940 Ex: 4.230000","Age: 81 ex_fr_female$Type: Observed Year: 1941 Ex: 4.750000","Age: 81 ex_fr_female$Type: Observed Year: 1942 Ex: 4.750000","Age: 81 ex_fr_female$Type: Observed Year: 1943 Ex: 4.860000","Age: 81 ex_fr_female$Type: Observed Year: 1944 Ex: 4.430000","Age: 81 ex_fr_female$Type: Observed Year: 1945 Ex: 4.890000","Age: 81 ex_fr_female$Type: Observed Year: 1946 Ex: 5.530000","Age: 81 ex_fr_female$Type: Observed Year: 1947 Ex: 5.640000","Age: 81 ex_fr_female$Type: Observed Year: 1948 Ex: 6.010000","Age: 81 ex_fr_female$Type: Observed Year: 1949 Ex: 5.250000","Age: 81 ex_fr_female$Type: Observed Year: 1950 Ex: 5.690000","Age: 81 ex_fr_female$Type: Observed Year: 1951 Ex: 5.310000","Age: 81 ex_fr_female$Type: Observed Year: 1952 Ex: 5.760000","Age: 81 ex_fr_female$Type: Observed Year: 1953 Ex: 5.350000","Age: 81 ex_fr_female$Type: Observed Year: 1954 Ex: 5.900000","Age: 81 ex_fr_female$Type: Observed Year: 1955 Ex: 5.790000","Age: 81 ex_fr_female$Type: Observed Year: 1956 Ex: 5.570000","Age: 81 ex_fr_female$Type: Observed Year: 1957 Ex: 5.860000","Age: 81 ex_fr_female$Type: Observed Year: 1958 Ex: 6.040000","Age: 81 ex_fr_female$Type: Observed Year: 1959 Ex: 6.090000","Age: 81 ex_fr_female$Type: Observed Year: 1960 Ex: 5.990000","Age: 81 ex_fr_female$Type: Observed Year: 1961 Ex: 6.350000","Age: 81 ex_fr_female$Type: Observed Year: 1962 Ex: 5.950000","Age: 81 ex_fr_female$Type: Observed Year: 1963 Ex: 5.910000","Age: 81 ex_fr_female$Type: Observed Year: 1964 Ex: 6.410000","Age: 81 ex_fr_female$Type: Observed Year: 1965 Ex: 6.230000","Age: 81 ex_fr_female$Type: Observed Year: 1966 Ex: 6.490000","Age: 81 ex_fr_female$Type: Observed Year: 1967 Ex: 6.410000","Age: 81 ex_fr_female$Type: Observed Year: 1968 Ex: 6.370000","Age: 81 ex_fr_female$Type: Observed Year: 1969 Ex: 6.460000","Age: 81 ex_fr_female$Type: Observed Year: 1970 Ex: 6.610000","Age: 81 ex_fr_female$Type: Observed Year: 1971 Ex: 6.540000","Age: 81 ex_fr_female$Type: Observed Year: 1972 Ex: 6.740000","Age: 81 ex_fr_female$Type: Observed Year: 1973 Ex: 6.610000","Age: 81 ex_fr_female$Type: Observed Year: 1974 Ex: 6.760000","Age: 81 ex_fr_female$Type: Observed Year: 1975 Ex: 6.750000","Age: 81 ex_fr_female$Type: Observed Year: 1976 Ex: 6.810000","Age: 81 ex_fr_female$Type: Observed Year: 1977 Ex: 7.150000","Age: 81 ex_fr_female$Type: Observed Year: 1978 Ex: 7.070000","Age: 81 ex_fr_female$Type: Observed Year: 1979 Ex: 7.190000","Age: 81 ex_fr_female$Type: Observed Year: 1980 Ex: 7.200000","Age: 81 ex_fr_female$Type: Observed Year: 1981 Ex: 7.120000","Age: 81 ex_fr_female$Type: Observed Year: 1982 Ex: 7.370000","Age: 81 ex_fr_female$Type: Observed Year: 1983 Ex: 7.200000","Age: 81 ex_fr_female$Type: Observed Year: 1984 Ex: 7.500000","Age: 81 ex_fr_female$Type: Observed Year: 1985 Ex: 7.450000","Age: 81 ex_fr_female$Type: Observed Year: 1986 Ex: 7.560000","Age: 81 ex_fr_female$Type: Observed Year: 1987 Ex: 7.920000","Age: 81 ex_fr_female$Type: Observed Year: 1988 Ex: 8.030000","Age: 81 ex_fr_female$Type: Observed Year: 1989 Ex: 8.020000","Age: 81 ex_fr_female$Type: Observed Year: 1990 Ex: 8.140000","Age: 81 ex_fr_female$Type: Observed Year: 1991 Ex: 8.300000","Age: 81 ex_fr_female$Type: Observed Year: 1992 Ex: 8.450000","Age: 81 ex_fr_female$Type: Observed Year: 1993 Ex: 8.420000","Age: 81 ex_fr_female$Type: Observed Year: 1994 Ex: 8.720000","Age: 81 ex_fr_female$Type: Observed Year: 1995 Ex: 8.660000","Age: 81 ex_fr_female$Type: Observed Year: 1996 Ex: 8.690000","Age: 81 ex_fr_female$Type: Observed Year: 1997 Ex: 8.770000","Age: 81 ex_fr_female$Type: Observed Year: 1998 Ex: 8.800000","Age: 81 ex_fr_female$Type: Observed Year: 1999 Ex: 8.790000","Age: 81 ex_fr_female$Type: Observed Year: 2000 Ex: 8.940000","Age: 81 ex_fr_female$Type: Observed Year: 2001 Ex: 9.060000","Age: 81 ex_fr_female$Type: Observed Year: 2002 Ex: 9.040000","Age: 81 ex_fr_female$Type: Observed Year: 2003 Ex: 8.870000","Age: 81 ex_fr_female$Type: Observed Year: 2004 Ex: 9.580000","Age: 81 ex_fr_female$Type: Observed Year: 2005 Ex: 9.420000","Age: 81 ex_fr_female$Type: Observed Year: 2006 Ex: 9.720000","Age: 81 ex_fr_female$Type: Observed Year: 2007 Ex: 9.780000","Age: 81 ex_fr_female$Type: Observed Year: 2008 Ex: 9.760000","Age: 81 ex_fr_female$Type: Observed Year: 2009 Ex: 9.780000","Age: 81 ex_fr_female$Type: Observed Year: 2010 Ex: 9.920000","Age: 81 ex_fr_female$Type: Observed Year: 2011 Ex: 10.140000","Age: 81 ex_fr_female$Type: Observed Year: 2012 Ex: 9.940000","Age: 81 ex_fr_female$Type: Observed Year: 2013 Ex: 10.100000","Age: 81 ex_fr_female$Type: Observed Year: 2014 Ex: 10.390000","Age: 81 ex_fr_female$Type: Observed Year: 2015 Ex: 10.120000","Age: 81 ex_fr_female$Type: Observed Year: 2016 Ex: 10.280000","Age: 81 ex_fr_female$Type: Observed Year: 2017 Ex: 10.250000"],"frame":"81","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[5.11780399132198,5.23790510904824,5.37339036483099,5.33308521648022,4.95288300725453,5.44241011064708,5.23169864497296,5.25120145151163,5.49298699032788,5.32929317157397,5.00871065533233,5.37914652711893,5.2453122085674,4.97630770033702,5.04317894690926,5.02481293452507,4.84258445553209,5.38272093690115,5.1063642517148,5.23636595035713,5.26617469056221,4.60279643734198,5.09348515014252,5.44439390162097,5.00129570986231,5.20749798258323,4.99217748351254,5.06205491358759,5.07875093779157,5.26058325901521,5.05611206743162,4.5995753509838,4.82741279308851,4.7707563871279,5.12334995559371,4.91027499876312,4.98054387736032,4.67696564268079,4.53787628480533,4.42632431379268,4.91823368347409,4.80599211547594,4.555762433928,4.64584220042769,5.02754232256809,4.93939493662296,5.06679571817627,5.02864595749114,4.85288681061122,4.82568794716284,4.98662043759886,4.86983102799014,4.75442761280325,4.81172073201233,4.364624402182,4.29492715209764,5.29293835662608,4.87201438399534,5.14779072631571,4.81309029206649,4.94026417245478,5.0523181659809,4.77918376097199,4.62582688704135,4.82056348925344,5.06815447476074,5.083547498898,4.98179189764725,5.02553647399428,5.09389897113169,5.08587538225791,5.16343649854006,4.97216873076621,5.19206321828483,4.81347651804365,4.70911623050961,4.66381980630189,4.75805316995783,4.90234377619811,4.59924812760541,5.11791610349706,5.22631803488055,4.87363467752893,4.87912395888559,4.64190615679867,4.96509474293028,5.0878539374493,5.01679579165051,4.90424454038711,4.88395415034361,4.91426673964551,4.74536648853407,5.06188540584724,4.7937462228225,5.14467134384123,4.75595777607788,5.30218436820536,5.24741907597998,4.80748445175223,4.92728335070548,4.87381092326989,4.67563734357108,4.83180276076312,4.78843056630212,5.30782795368875,5.22173084146593,4.98761343031928,5.35114253318266,5.25648298354001,5.06916356013649,5.11013147838028,5.11785041632512,5.26646490346683,4.79303368396692,5.65160154702443,5.1157313156842,5.38511175398832,5.3035339831105,5.67960878828201,5.413839976789,5.54962326663985,5.72825899592332,5.53537221687494,5.39964442538281,4.61149732078319,5.13406581165283,5.13578400153143,5.23874180226004,4.81493328753437,5.26977846420227,5.89884513130544,6.0184186474383,6.38041907410312,5.62327430153855,6.05849223054448,5.68288095917176,6.12777810805593,5.72659109807951,6.2644792005458,6.16041710086818,5.9413671782838,6.22478059232277,6.40393257613528,6.45271431232099,6.34725922788483,6.70331100255217,6.31081825483435,6.26816454503613,6.76600122869508,6.58918909158722,6.84129151772899,6.76244384640593,6.72416761280893,6.8125802025906,6.96603467116558,6.88670485969889,7.08656906187805,6.96598419230607,7.10374946395624,7.09457823762581,7.15655351348284,7.48956791531945,7.41483030496504,7.53485004105482,7.53782118300443,7.45685660261972,7.70559867049317,7.53509390384834,7.83314258601264,7.78456676366905,7.89485430701071,8.25103961028492,8.35716557563264,8.34819804433351,8.46109423470146,8.62201012798377,8.77599719148243,8.74035907502475,9.04500551789626,8.98011249210675,9.00630726760961,9.09232301366328,9.12113376924924,9.10627010580532,9.25513965492171,9.37764657404925,9.35650119088784,9.18440267392755,9.89439516736786,9.73143387585712,10.0337323841844,10.0902012613156,10.0651938272344,10.0926533747981,10.227590867974,10.4410232101791,10.240800456438,10.4080675853174,10.6970870516136,10.4262762357176,10.5868741132343,10.5505047400557],"text":["Age: 81 ex_fr_female$Type: Predicted Year: 1816 Ex: 5.117804","Age: 81 ex_fr_female$Type: Predicted Year: 1817 Ex: 5.237905","Age: 81 ex_fr_female$Type: Predicted Year: 1818 Ex: 5.373390","Age: 81 ex_fr_female$Type: Predicted Year: 1819 Ex: 5.333085","Age: 81 ex_fr_female$Type: Predicted Year: 1820 Ex: 4.952883","Age: 81 ex_fr_female$Type: Predicted Year: 1821 Ex: 5.442410","Age: 81 ex_fr_female$Type: Predicted Year: 1822 Ex: 5.231699","Age: 81 ex_fr_female$Type: Predicted Year: 1823 Ex: 5.251201","Age: 81 ex_fr_female$Type: Predicted Year: 1824 Ex: 5.492987","Age: 81 ex_fr_female$Type: Predicted Year: 1825 Ex: 5.329293","Age: 81 ex_fr_female$Type: Predicted Year: 1826 Ex: 5.008711","Age: 81 ex_fr_female$Type: Predicted Year: 1827 Ex: 5.379147","Age: 81 ex_fr_female$Type: Predicted Year: 1828 Ex: 5.245312","Age: 81 ex_fr_female$Type: Predicted Year: 1829 Ex: 4.976308","Age: 81 ex_fr_female$Type: Predicted Year: 1830 Ex: 5.043179","Age: 81 ex_fr_female$Type: Predicted Year: 1831 Ex: 5.024813","Age: 81 ex_fr_female$Type: Predicted Year: 1832 Ex: 4.842584","Age: 81 ex_fr_female$Type: Predicted Year: 1833 Ex: 5.382721","Age: 81 ex_fr_female$Type: Predicted Year: 1834 Ex: 5.106364","Age: 81 ex_fr_female$Type: Predicted Year: 1835 Ex: 5.236366","Age: 81 ex_fr_female$Type: Predicted Year: 1836 Ex: 5.266175","Age: 81 ex_fr_female$Type: Predicted Year: 1837 Ex: 4.602796","Age: 81 ex_fr_female$Type: Predicted Year: 1838 Ex: 5.093485","Age: 81 ex_fr_female$Type: Predicted Year: 1839 Ex: 5.444394","Age: 81 ex_fr_female$Type: Predicted Year: 1840 Ex: 5.001296","Age: 81 ex_fr_female$Type: Predicted Year: 1841 Ex: 5.207498","Age: 81 ex_fr_female$Type: Predicted Year: 1842 Ex: 4.992177","Age: 81 ex_fr_female$Type: Predicted Year: 1843 Ex: 5.062055","Age: 81 ex_fr_female$Type: Predicted Year: 1844 Ex: 5.078751","Age: 81 ex_fr_female$Type: Predicted Year: 1845 Ex: 5.260583","Age: 81 ex_fr_female$Type: Predicted Year: 1846 Ex: 5.056112","Age: 81 ex_fr_female$Type: Predicted Year: 1847 Ex: 4.599575","Age: 81 ex_fr_female$Type: Predicted Year: 1848 Ex: 4.827413","Age: 81 ex_fr_female$Type: Predicted Year: 1849 Ex: 4.770756","Age: 81 ex_fr_female$Type: Predicted Year: 1850 Ex: 5.123350","Age: 81 ex_fr_female$Type: Predicted Year: 1851 Ex: 4.910275","Age: 81 ex_fr_female$Type: Predicted Year: 1852 Ex: 4.980544","Age: 81 ex_fr_female$Type: Predicted Year: 1853 Ex: 4.676966","Age: 81 ex_fr_female$Type: Predicted Year: 1854 Ex: 4.537876","Age: 81 ex_fr_female$Type: Predicted Year: 1855 Ex: 4.426324","Age: 81 ex_fr_female$Type: Predicted Year: 1856 Ex: 4.918234","Age: 81 ex_fr_female$Type: Predicted Year: 1857 Ex: 4.805992","Age: 81 ex_fr_female$Type: Predicted Year: 1858 Ex: 4.555762","Age: 81 ex_fr_female$Type: Predicted Year: 1859 Ex: 4.645842","Age: 81 ex_fr_female$Type: Predicted Year: 1860 Ex: 5.027542","Age: 81 ex_fr_female$Type: Predicted Year: 1861 Ex: 4.939395","Age: 81 ex_fr_female$Type: Predicted Year: 1862 Ex: 5.066796","Age: 81 ex_fr_female$Type: Predicted Year: 1863 Ex: 5.028646","Age: 81 ex_fr_female$Type: Predicted Year: 1864 Ex: 4.852887","Age: 81 ex_fr_female$Type: Predicted Year: 1865 Ex: 4.825688","Age: 81 ex_fr_female$Type: Predicted Year: 1866 Ex: 4.986620","Age: 81 ex_fr_female$Type: Predicted Year: 1867 Ex: 4.869831","Age: 81 ex_fr_female$Type: Predicted Year: 1868 Ex: 4.754428","Age: 81 ex_fr_female$Type: Predicted Year: 1869 Ex: 4.811721","Age: 81 ex_fr_female$Type: Predicted Year: 1870 Ex: 4.364624","Age: 81 ex_fr_female$Type: Predicted Year: 1871 Ex: 4.294927","Age: 81 ex_fr_female$Type: Predicted Year: 1872 Ex: 5.292938","Age: 81 ex_fr_female$Type: Predicted Year: 1873 Ex: 4.872014","Age: 81 ex_fr_female$Type: Predicted Year: 1874 Ex: 5.147791","Age: 81 ex_fr_female$Type: Predicted Year: 1875 Ex: 4.813090","Age: 81 ex_fr_female$Type: Predicted Year: 1876 Ex: 4.940264","Age: 81 ex_fr_female$Type: Predicted Year: 1877 Ex: 5.052318","Age: 81 ex_fr_female$Type: Predicted Year: 1878 Ex: 4.779184","Age: 81 ex_fr_female$Type: Predicted Year: 1879 Ex: 4.625827","Age: 81 ex_fr_female$Type: Predicted Year: 1880 Ex: 4.820563","Age: 81 ex_fr_female$Type: Predicted Year: 1881 Ex: 5.068154","Age: 81 ex_fr_female$Type: Predicted Year: 1882 Ex: 5.083547","Age: 81 ex_fr_female$Type: Predicted Year: 1883 Ex: 4.981792","Age: 81 ex_fr_female$Type: Predicted Year: 1884 Ex: 5.025536","Age: 81 ex_fr_female$Type: Predicted Year: 1885 Ex: 5.093899","Age: 81 ex_fr_female$Type: Predicted Year: 1886 Ex: 5.085875","Age: 81 ex_fr_female$Type: Predicted Year: 1887 Ex: 5.163436","Age: 81 ex_fr_female$Type: Predicted Year: 1888 Ex: 4.972169","Age: 81 ex_fr_female$Type: Predicted Year: 1889 Ex: 5.192063","Age: 81 ex_fr_female$Type: Predicted Year: 1890 Ex: 4.813477","Age: 81 ex_fr_female$Type: Predicted Year: 1891 Ex: 4.709116","Age: 81 ex_fr_female$Type: Predicted Year: 1892 Ex: 4.663820","Age: 81 ex_fr_female$Type: Predicted Year: 1893 Ex: 4.758053","Age: 81 ex_fr_female$Type: Predicted Year: 1894 Ex: 4.902344","Age: 81 ex_fr_female$Type: Predicted Year: 1895 Ex: 4.599248","Age: 81 ex_fr_female$Type: Predicted Year: 1896 Ex: 5.117916","Age: 81 ex_fr_female$Type: Predicted Year: 1897 Ex: 5.226318","Age: 81 ex_fr_female$Type: Predicted Year: 1898 Ex: 4.873635","Age: 81 ex_fr_female$Type: Predicted Year: 1899 Ex: 4.879124","Age: 81 ex_fr_female$Type: Predicted Year: 1900 Ex: 4.641906","Age: 81 ex_fr_female$Type: Predicted Year: 1901 Ex: 4.965095","Age: 81 ex_fr_female$Type: Predicted Year: 1902 Ex: 5.087854","Age: 81 ex_fr_female$Type: Predicted Year: 1903 Ex: 5.016796","Age: 81 ex_fr_female$Type: Predicted Year: 1904 Ex: 4.904245","Age: 81 ex_fr_female$Type: Predicted Year: 1905 Ex: 4.883954","Age: 81 ex_fr_female$Type: Predicted Year: 1906 Ex: 4.914267","Age: 81 ex_fr_female$Type: Predicted Year: 1907 Ex: 4.745366","Age: 81 ex_fr_female$Type: Predicted Year: 1908 Ex: 5.061885","Age: 81 ex_fr_female$Type: Predicted Year: 1909 Ex: 4.793746","Age: 81 ex_fr_female$Type: Predicted Year: 1910 Ex: 5.144671","Age: 81 ex_fr_female$Type: Predicted Year: 1911 Ex: 4.755958","Age: 81 ex_fr_female$Type: Predicted Year: 1912 Ex: 5.302184","Age: 81 ex_fr_female$Type: Predicted Year: 1913 Ex: 5.247419","Age: 81 ex_fr_female$Type: Predicted Year: 1914 Ex: 4.807484","Age: 81 ex_fr_female$Type: Predicted Year: 1915 Ex: 4.927283","Age: 81 ex_fr_female$Type: Predicted Year: 1916 Ex: 4.873811","Age: 81 ex_fr_female$Type: Predicted Year: 1917 Ex: 4.675637","Age: 81 ex_fr_female$Type: Predicted Year: 1918 Ex: 4.831803","Age: 81 ex_fr_female$Type: Predicted Year: 1919 Ex: 4.788431","Age: 81 ex_fr_female$Type: Predicted Year: 1920 Ex: 5.307828","Age: 81 ex_fr_female$Type: Predicted Year: 1921 Ex: 5.221731","Age: 81 ex_fr_female$Type: Predicted Year: 1922 Ex: 4.987613","Age: 81 ex_fr_female$Type: Predicted Year: 1923 Ex: 5.351143","Age: 81 ex_fr_female$Type: Predicted Year: 1924 Ex: 5.256483","Age: 81 ex_fr_female$Type: Predicted Year: 1925 Ex: 5.069164","Age: 81 ex_fr_female$Type: Predicted Year: 1926 Ex: 5.110131","Age: 81 ex_fr_female$Type: Predicted Year: 1927 Ex: 5.117850","Age: 81 ex_fr_female$Type: Predicted Year: 1928 Ex: 5.266465","Age: 81 ex_fr_female$Type: Predicted Year: 1929 Ex: 4.793034","Age: 81 ex_fr_female$Type: Predicted Year: 1930 Ex: 5.651602","Age: 81 ex_fr_female$Type: Predicted Year: 1931 Ex: 5.115731","Age: 81 ex_fr_female$Type: Predicted Year: 1932 Ex: 5.385112","Age: 81 ex_fr_female$Type: Predicted Year: 1933 Ex: 5.303534","Age: 81 ex_fr_female$Type: Predicted Year: 1934 Ex: 5.679609","Age: 81 ex_fr_female$Type: Predicted Year: 1935 Ex: 5.413840","Age: 81 ex_fr_female$Type: Predicted Year: 1936 Ex: 5.549623","Age: 81 ex_fr_female$Type: Predicted Year: 1937 Ex: 5.728259","Age: 81 ex_fr_female$Type: Predicted Year: 1938 Ex: 5.535372","Age: 81 ex_fr_female$Type: Predicted Year: 1939 Ex: 5.399644","Age: 81 ex_fr_female$Type: Predicted Year: 1940 Ex: 4.611497","Age: 81 ex_fr_female$Type: Predicted Year: 1941 Ex: 5.134066","Age: 81 ex_fr_female$Type: Predicted Year: 1942 Ex: 5.135784","Age: 81 ex_fr_female$Type: Predicted Year: 1943 Ex: 5.238742","Age: 81 ex_fr_female$Type: Predicted Year: 1944 Ex: 4.814933","Age: 81 ex_fr_female$Type: Predicted Year: 1945 Ex: 5.269778","Age: 81 ex_fr_female$Type: Predicted Year: 1946 Ex: 5.898845","Age: 81 ex_fr_female$Type: Predicted Year: 1947 Ex: 6.018419","Age: 81 ex_fr_female$Type: Predicted Year: 1948 Ex: 6.380419","Age: 81 ex_fr_female$Type: Predicted Year: 1949 Ex: 5.623274","Age: 81 ex_fr_female$Type: Predicted Year: 1950 Ex: 6.058492","Age: 81 ex_fr_female$Type: Predicted Year: 1951 Ex: 5.682881","Age: 81 ex_fr_female$Type: Predicted Year: 1952 Ex: 6.127778","Age: 81 ex_fr_female$Type: Predicted Year: 1953 Ex: 5.726591","Age: 81 ex_fr_female$Type: Predicted Year: 1954 Ex: 6.264479","Age: 81 ex_fr_female$Type: Predicted Year: 1955 Ex: 6.160417","Age: 81 ex_fr_female$Type: Predicted Year: 1956 Ex: 5.941367","Age: 81 ex_fr_female$Type: Predicted Year: 1957 Ex: 6.224781","Age: 81 ex_fr_female$Type: Predicted Year: 1958 Ex: 6.403933","Age: 81 ex_fr_female$Type: Predicted Year: 1959 Ex: 6.452714","Age: 81 ex_fr_female$Type: Predicted Year: 1960 Ex: 6.347259","Age: 81 ex_fr_female$Type: Predicted Year: 1961 Ex: 6.703311","Age: 81 ex_fr_female$Type: Predicted Year: 1962 Ex: 6.310818","Age: 81 ex_fr_female$Type: Predicted Year: 1963 Ex: 6.268165","Age: 81 ex_fr_female$Type: Predicted Year: 1964 Ex: 6.766001","Age: 81 ex_fr_female$Type: Predicted Year: 1965 Ex: 6.589189","Age: 81 ex_fr_female$Type: Predicted Year: 1966 Ex: 6.841292","Age: 81 ex_fr_female$Type: Predicted Year: 1967 Ex: 6.762444","Age: 81 ex_fr_female$Type: Predicted Year: 1968 Ex: 6.724168","Age: 81 ex_fr_female$Type: Predicted Year: 1969 Ex: 6.812580","Age: 81 ex_fr_female$Type: Predicted Year: 1970 Ex: 6.966035","Age: 81 ex_fr_female$Type: Predicted Year: 1971 Ex: 6.886705","Age: 81 ex_fr_female$Type: Predicted Year: 1972 Ex: 7.086569","Age: 81 ex_fr_female$Type: Predicted Year: 1973 Ex: 6.965984","Age: 81 ex_fr_female$Type: Predicted Year: 1974 Ex: 7.103749","Age: 81 ex_fr_female$Type: Predicted Year: 1975 Ex: 7.094578","Age: 81 ex_fr_female$Type: Predicted Year: 1976 Ex: 7.156554","Age: 81 ex_fr_female$Type: Predicted Year: 1977 Ex: 7.489568","Age: 81 ex_fr_female$Type: Predicted Year: 1978 Ex: 7.414830","Age: 81 ex_fr_female$Type: Predicted Year: 1979 Ex: 7.534850","Age: 81 ex_fr_female$Type: Predicted Year: 1980 Ex: 7.537821","Age: 81 ex_fr_female$Type: Predicted Year: 1981 Ex: 7.456857","Age: 81 ex_fr_female$Type: Predicted Year: 1982 Ex: 7.705599","Age: 81 ex_fr_female$Type: Predicted Year: 1983 Ex: 7.535094","Age: 81 ex_fr_female$Type: Predicted Year: 1984 Ex: 7.833143","Age: 81 ex_fr_female$Type: Predicted Year: 1985 Ex: 7.784567","Age: 81 ex_fr_female$Type: Predicted Year: 1986 Ex: 7.894854","Age: 81 ex_fr_female$Type: Predicted Year: 1987 Ex: 8.251040","Age: 81 ex_fr_female$Type: Predicted Year: 1988 Ex: 8.357166","Age: 81 ex_fr_female$Type: Predicted Year: 1989 Ex: 8.348198","Age: 81 ex_fr_female$Type: Predicted Year: 1990 Ex: 8.461094","Age: 81 ex_fr_female$Type: Predicted Year: 1991 Ex: 8.622010","Age: 81 ex_fr_female$Type: Predicted Year: 1992 Ex: 8.775997","Age: 81 ex_fr_female$Type: Predicted Year: 1993 Ex: 8.740359","Age: 81 ex_fr_female$Type: Predicted Year: 1994 Ex: 9.045006","Age: 81 ex_fr_female$Type: Predicted Year: 1995 Ex: 8.980112","Age: 81 ex_fr_female$Type: Predicted Year: 1996 Ex: 9.006307","Age: 81 ex_fr_female$Type: Predicted Year: 1997 Ex: 9.092323","Age: 81 ex_fr_female$Type: Predicted Year: 1998 Ex: 9.121134","Age: 81 ex_fr_female$Type: Predicted Year: 1999 Ex: 9.106270","Age: 81 ex_fr_female$Type: Predicted Year: 2000 Ex: 9.255140","Age: 81 ex_fr_female$Type: Predicted Year: 2001 Ex: 9.377647","Age: 81 ex_fr_female$Type: Predicted Year: 2002 Ex: 9.356501","Age: 81 ex_fr_female$Type: Predicted Year: 2003 Ex: 9.184403","Age: 81 ex_fr_female$Type: Predicted Year: 2004 Ex: 9.894395","Age: 81 ex_fr_female$Type: Predicted Year: 2005 Ex: 9.731434","Age: 81 ex_fr_female$Type: Predicted Year: 2006 Ex: 10.033732","Age: 81 ex_fr_female$Type: Predicted Year: 2007 Ex: 10.090201","Age: 81 ex_fr_female$Type: Predicted Year: 2008 Ex: 10.065194","Age: 81 ex_fr_female$Type: Predicted Year: 2009 Ex: 10.092653","Age: 81 ex_fr_female$Type: Predicted Year: 2010 Ex: 10.227591","Age: 81 ex_fr_female$Type: Predicted Year: 2011 Ex: 10.441023","Age: 81 ex_fr_female$Type: Predicted Year: 2012 Ex: 10.240800","Age: 81 ex_fr_female$Type: Predicted Year: 2013 Ex: 10.408068","Age: 81 ex_fr_female$Type: Predicted Year: 2014 Ex: 10.697087","Age: 81 ex_fr_female$Type: Predicted Year: 2015 Ex: 10.426276","Age: 81 ex_fr_female$Type: Predicted Year: 2016 Ex: 10.586874","Age: 81 ex_fr_female$Type: Predicted Year: 2017 Ex: 10.550505"],"frame":"81","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"82","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[4.49,4.62,4.75,4.69,4.32,4.8,4.57,4.6,4.86,4.68,4.37,4.74,4.61,4.33,4.39,4.37,4.2,4.73,4.46,4.59,4.61,3.97,4.45,4.8,4.34,4.55,4.35,4.41,4.43,4.6,4.39,3.93,4.17,4.12,4.46,4.25,4.32,4.01,3.89,3.77,4.23,4.12,3.89,3.98,4.36,4.27,4.39,4.35,4.18,4.15,4.32,4.2,4.09,4.15,3.71,3.64,4.61,4.19,4.47,4.14,4.26,4.37,4.1,3.95,4.16,4.4,4.42,4.31,4.36,4.41,4.39,4.46,4.29,4.5,4.14,4.05,4,4.09,4.24,3.92,4.41,4.49,4.15,4.14,3.93,4.26,4.37,4.28,4.16,4.18,4.18,4.07,4.36,4.12,4.45,4.08,4.6,4.57,4.12,4.25,4.18,3.99,4.15,4.1,4.61,4.52,4.28,4.66,4.56,4.37,4.4,4.41,4.56,4.1,4.96,4.4,4.67,4.59,4.95,4.71,4.82,5,4.82,4.69,3.93,4.42,4.42,4.52,4.12,4.57,5.18,5.28,5.64,4.91,5.33,4.94,5.38,5,5.51,5.4,5.19,5.47,5.63,5.69,5.58,5.92,5.54,5.5,5.99,5.81,6.06,5.98,5.94,6.03,6.17,6.08,6.29,6.17,6.3,6.29,6.35,6.67,6.59,6.71,6.71,6.62,6.88,6.7,6.99,6.93,7.04,7.39,7.48,7.46,7.57,7.73,7.87,7.83,8.13,8.06,8.09,8.19,8.19,8.18,8.33,8.45,8.43,8.25,8.94,8.79,9.08,9.14,9.11,9.13,9.26,9.46,9.26,9.42,9.7,9.44,9.59,9.55],"text":["Age: 82 ex_fr_female$Type: Observed Year: 1816 Ex: 4.490000","Age: 82 ex_fr_female$Type: Observed Year: 1817 Ex: 4.620000","Age: 82 ex_fr_female$Type: Observed Year: 1818 Ex: 4.750000","Age: 82 ex_fr_female$Type: Observed Year: 1819 Ex: 4.690000","Age: 82 ex_fr_female$Type: Observed Year: 1820 Ex: 4.320000","Age: 82 ex_fr_female$Type: Observed Year: 1821 Ex: 4.800000","Age: 82 ex_fr_female$Type: Observed Year: 1822 Ex: 4.570000","Age: 82 ex_fr_female$Type: Observed Year: 1823 Ex: 4.600000","Age: 82 ex_fr_female$Type: Observed Year: 1824 Ex: 4.860000","Age: 82 ex_fr_female$Type: Observed Year: 1825 Ex: 4.680000","Age: 82 ex_fr_female$Type: Observed Year: 1826 Ex: 4.370000","Age: 82 ex_fr_female$Type: Observed Year: 1827 Ex: 4.740000","Age: 82 ex_fr_female$Type: Observed Year: 1828 Ex: 4.610000","Age: 82 ex_fr_female$Type: Observed Year: 1829 Ex: 4.330000","Age: 82 ex_fr_female$Type: Observed Year: 1830 Ex: 4.390000","Age: 82 ex_fr_female$Type: Observed Year: 1831 Ex: 4.370000","Age: 82 ex_fr_female$Type: Observed Year: 1832 Ex: 4.200000","Age: 82 ex_fr_female$Type: Observed Year: 1833 Ex: 4.730000","Age: 82 ex_fr_female$Type: Observed Year: 1834 Ex: 4.460000","Age: 82 ex_fr_female$Type: Observed Year: 1835 Ex: 4.590000","Age: 82 ex_fr_female$Type: Observed Year: 1836 Ex: 4.610000","Age: 82 ex_fr_female$Type: Observed Year: 1837 Ex: 3.970000","Age: 82 ex_fr_female$Type: Observed Year: 1838 Ex: 4.450000","Age: 82 ex_fr_female$Type: Observed Year: 1839 Ex: 4.800000","Age: 82 ex_fr_female$Type: Observed Year: 1840 Ex: 4.340000","Age: 82 ex_fr_female$Type: Observed Year: 1841 Ex: 4.550000","Age: 82 ex_fr_female$Type: Observed Year: 1842 Ex: 4.350000","Age: 82 ex_fr_female$Type: Observed Year: 1843 Ex: 4.410000","Age: 82 ex_fr_female$Type: Observed Year: 1844 Ex: 4.430000","Age: 82 ex_fr_female$Type: Observed Year: 1845 Ex: 4.600000","Age: 82 ex_fr_female$Type: Observed Year: 1846 Ex: 4.390000","Age: 82 ex_fr_female$Type: Observed Year: 1847 Ex: 3.930000","Age: 82 ex_fr_female$Type: Observed Year: 1848 Ex: 4.170000","Age: 82 ex_fr_female$Type: Observed Year: 1849 Ex: 4.120000","Age: 82 ex_fr_female$Type: Observed Year: 1850 Ex: 4.460000","Age: 82 ex_fr_female$Type: Observed Year: 1851 Ex: 4.250000","Age: 82 ex_fr_female$Type: Observed Year: 1852 Ex: 4.320000","Age: 82 ex_fr_female$Type: Observed Year: 1853 Ex: 4.010000","Age: 82 ex_fr_female$Type: Observed Year: 1854 Ex: 3.890000","Age: 82 ex_fr_female$Type: Observed Year: 1855 Ex: 3.770000","Age: 82 ex_fr_female$Type: Observed Year: 1856 Ex: 4.230000","Age: 82 ex_fr_female$Type: Observed Year: 1857 Ex: 4.120000","Age: 82 ex_fr_female$Type: Observed Year: 1858 Ex: 3.890000","Age: 82 ex_fr_female$Type: Observed Year: 1859 Ex: 3.980000","Age: 82 ex_fr_female$Type: Observed Year: 1860 Ex: 4.360000","Age: 82 ex_fr_female$Type: Observed Year: 1861 Ex: 4.270000","Age: 82 ex_fr_female$Type: Observed Year: 1862 Ex: 4.390000","Age: 82 ex_fr_female$Type: Observed Year: 1863 Ex: 4.350000","Age: 82 ex_fr_female$Type: Observed Year: 1864 Ex: 4.180000","Age: 82 ex_fr_female$Type: Observed Year: 1865 Ex: 4.150000","Age: 82 ex_fr_female$Type: Observed Year: 1866 Ex: 4.320000","Age: 82 ex_fr_female$Type: Observed Year: 1867 Ex: 4.200000","Age: 82 ex_fr_female$Type: Observed Year: 1868 Ex: 4.090000","Age: 82 ex_fr_female$Type: Observed Year: 1869 Ex: 4.150000","Age: 82 ex_fr_female$Type: Observed Year: 1870 Ex: 3.710000","Age: 82 ex_fr_female$Type: Observed Year: 1871 Ex: 3.640000","Age: 82 ex_fr_female$Type: Observed Year: 1872 Ex: 4.610000","Age: 82 ex_fr_female$Type: Observed Year: 1873 Ex: 4.190000","Age: 82 ex_fr_female$Type: Observed Year: 1874 Ex: 4.470000","Age: 82 ex_fr_female$Type: Observed Year: 1875 Ex: 4.140000","Age: 82 ex_fr_female$Type: Observed Year: 1876 Ex: 4.260000","Age: 82 ex_fr_female$Type: Observed Year: 1877 Ex: 4.370000","Age: 82 ex_fr_female$Type: Observed Year: 1878 Ex: 4.100000","Age: 82 ex_fr_female$Type: Observed Year: 1879 Ex: 3.950000","Age: 82 ex_fr_female$Type: Observed Year: 1880 Ex: 4.160000","Age: 82 ex_fr_female$Type: Observed Year: 1881 Ex: 4.400000","Age: 82 ex_fr_female$Type: Observed Year: 1882 Ex: 4.420000","Age: 82 ex_fr_female$Type: Observed Year: 1883 Ex: 4.310000","Age: 82 ex_fr_female$Type: Observed Year: 1884 Ex: 4.360000","Age: 82 ex_fr_female$Type: Observed Year: 1885 Ex: 4.410000","Age: 82 ex_fr_female$Type: Observed Year: 1886 Ex: 4.390000","Age: 82 ex_fr_female$Type: Observed Year: 1887 Ex: 4.460000","Age: 82 ex_fr_female$Type: Observed Year: 1888 Ex: 4.290000","Age: 82 ex_fr_female$Type: Observed Year: 1889 Ex: 4.500000","Age: 82 ex_fr_female$Type: Observed Year: 1890 Ex: 4.140000","Age: 82 ex_fr_female$Type: Observed Year: 1891 Ex: 4.050000","Age: 82 ex_fr_female$Type: Observed Year: 1892 Ex: 4.000000","Age: 82 ex_fr_female$Type: Observed Year: 1893 Ex: 4.090000","Age: 82 ex_fr_female$Type: Observed Year: 1894 Ex: 4.240000","Age: 82 ex_fr_female$Type: Observed Year: 1895 Ex: 3.920000","Age: 82 ex_fr_female$Type: Observed Year: 1896 Ex: 4.410000","Age: 82 ex_fr_female$Type: Observed Year: 1897 Ex: 4.490000","Age: 82 ex_fr_female$Type: Observed Year: 1898 Ex: 4.150000","Age: 82 ex_fr_female$Type: Observed Year: 1899 Ex: 4.140000","Age: 82 ex_fr_female$Type: Observed Year: 1900 Ex: 3.930000","Age: 82 ex_fr_female$Type: Observed Year: 1901 Ex: 4.260000","Age: 82 ex_fr_female$Type: Observed Year: 1902 Ex: 4.370000","Age: 82 ex_fr_female$Type: Observed Year: 1903 Ex: 4.280000","Age: 82 ex_fr_female$Type: Observed Year: 1904 Ex: 4.160000","Age: 82 ex_fr_female$Type: Observed Year: 1905 Ex: 4.180000","Age: 82 ex_fr_female$Type: Observed Year: 1906 Ex: 4.180000","Age: 82 ex_fr_female$Type: Observed Year: 1907 Ex: 4.070000","Age: 82 ex_fr_female$Type: Observed Year: 1908 Ex: 4.360000","Age: 82 ex_fr_female$Type: Observed Year: 1909 Ex: 4.120000","Age: 82 ex_fr_female$Type: Observed Year: 1910 Ex: 4.450000","Age: 82 ex_fr_female$Type: Observed Year: 1911 Ex: 4.080000","Age: 82 ex_fr_female$Type: Observed Year: 1912 Ex: 4.600000","Age: 82 ex_fr_female$Type: Observed Year: 1913 Ex: 4.570000","Age: 82 ex_fr_female$Type: Observed Year: 1914 Ex: 4.120000","Age: 82 ex_fr_female$Type: Observed Year: 1915 Ex: 4.250000","Age: 82 ex_fr_female$Type: Observed Year: 1916 Ex: 4.180000","Age: 82 ex_fr_female$Type: Observed Year: 1917 Ex: 3.990000","Age: 82 ex_fr_female$Type: Observed Year: 1918 Ex: 4.150000","Age: 82 ex_fr_female$Type: Observed Year: 1919 Ex: 4.100000","Age: 82 ex_fr_female$Type: Observed Year: 1920 Ex: 4.610000","Age: 82 ex_fr_female$Type: Observed Year: 1921 Ex: 4.520000","Age: 82 ex_fr_female$Type: Observed Year: 1922 Ex: 4.280000","Age: 82 ex_fr_female$Type: Observed Year: 1923 Ex: 4.660000","Age: 82 ex_fr_female$Type: Observed Year: 1924 Ex: 4.560000","Age: 82 ex_fr_female$Type: Observed Year: 1925 Ex: 4.370000","Age: 82 ex_fr_female$Type: Observed Year: 1926 Ex: 4.400000","Age: 82 ex_fr_female$Type: Observed Year: 1927 Ex: 4.410000","Age: 82 ex_fr_female$Type: Observed Year: 1928 Ex: 4.560000","Age: 82 ex_fr_female$Type: Observed Year: 1929 Ex: 4.100000","Age: 82 ex_fr_female$Type: Observed Year: 1930 Ex: 4.960000","Age: 82 ex_fr_female$Type: Observed Year: 1931 Ex: 4.400000","Age: 82 ex_fr_female$Type: Observed Year: 1932 Ex: 4.670000","Age: 82 ex_fr_female$Type: Observed Year: 1933 Ex: 4.590000","Age: 82 ex_fr_female$Type: Observed Year: 1934 Ex: 4.950000","Age: 82 ex_fr_female$Type: Observed Year: 1935 Ex: 4.710000","Age: 82 ex_fr_female$Type: Observed Year: 1936 Ex: 4.820000","Age: 82 ex_fr_female$Type: Observed Year: 1937 Ex: 5.000000","Age: 82 ex_fr_female$Type: Observed Year: 1938 Ex: 4.820000","Age: 82 ex_fr_female$Type: Observed Year: 1939 Ex: 4.690000","Age: 82 ex_fr_female$Type: Observed Year: 1940 Ex: 3.930000","Age: 82 ex_fr_female$Type: Observed Year: 1941 Ex: 4.420000","Age: 82 ex_fr_female$Type: Observed Year: 1942 Ex: 4.420000","Age: 82 ex_fr_female$Type: Observed Year: 1943 Ex: 4.520000","Age: 82 ex_fr_female$Type: Observed Year: 1944 Ex: 4.120000","Age: 82 ex_fr_female$Type: Observed Year: 1945 Ex: 4.570000","Age: 82 ex_fr_female$Type: Observed Year: 1946 Ex: 5.180000","Age: 82 ex_fr_female$Type: Observed Year: 1947 Ex: 5.280000","Age: 82 ex_fr_female$Type: Observed Year: 1948 Ex: 5.640000","Age: 82 ex_fr_female$Type: Observed Year: 1949 Ex: 4.910000","Age: 82 ex_fr_female$Type: Observed Year: 1950 Ex: 5.330000","Age: 82 ex_fr_female$Type: Observed Year: 1951 Ex: 4.940000","Age: 82 ex_fr_female$Type: Observed Year: 1952 Ex: 5.380000","Age: 82 ex_fr_female$Type: Observed Year: 1953 Ex: 5.000000","Age: 82 ex_fr_female$Type: Observed Year: 1954 Ex: 5.510000","Age: 82 ex_fr_female$Type: Observed Year: 1955 Ex: 5.400000","Age: 82 ex_fr_female$Type: Observed Year: 1956 Ex: 5.190000","Age: 82 ex_fr_female$Type: Observed Year: 1957 Ex: 5.470000","Age: 82 ex_fr_female$Type: Observed Year: 1958 Ex: 5.630000","Age: 82 ex_fr_female$Type: Observed Year: 1959 Ex: 5.690000","Age: 82 ex_fr_female$Type: Observed Year: 1960 Ex: 5.580000","Age: 82 ex_fr_female$Type: Observed Year: 1961 Ex: 5.920000","Age: 82 ex_fr_female$Type: Observed Year: 1962 Ex: 5.540000","Age: 82 ex_fr_female$Type: Observed Year: 1963 Ex: 5.500000","Age: 82 ex_fr_female$Type: Observed Year: 1964 Ex: 5.990000","Age: 82 ex_fr_female$Type: Observed Year: 1965 Ex: 5.810000","Age: 82 ex_fr_female$Type: Observed Year: 1966 Ex: 6.060000","Age: 82 ex_fr_female$Type: Observed Year: 1967 Ex: 5.980000","Age: 82 ex_fr_female$Type: Observed Year: 1968 Ex: 5.940000","Age: 82 ex_fr_female$Type: Observed Year: 1969 Ex: 6.030000","Age: 82 ex_fr_female$Type: Observed Year: 1970 Ex: 6.170000","Age: 82 ex_fr_female$Type: Observed Year: 1971 Ex: 6.080000","Age: 82 ex_fr_female$Type: Observed Year: 1972 Ex: 6.290000","Age: 82 ex_fr_female$Type: Observed Year: 1973 Ex: 6.170000","Age: 82 ex_fr_female$Type: Observed Year: 1974 Ex: 6.300000","Age: 82 ex_fr_female$Type: Observed Year: 1975 Ex: 6.290000","Age: 82 ex_fr_female$Type: Observed Year: 1976 Ex: 6.350000","Age: 82 ex_fr_female$Type: Observed Year: 1977 Ex: 6.670000","Age: 82 ex_fr_female$Type: Observed Year: 1978 Ex: 6.590000","Age: 82 ex_fr_female$Type: Observed Year: 1979 Ex: 6.710000","Age: 82 ex_fr_female$Type: Observed Year: 1980 Ex: 6.710000","Age: 82 ex_fr_female$Type: Observed Year: 1981 Ex: 6.620000","Age: 82 ex_fr_female$Type: Observed Year: 1982 Ex: 6.880000","Age: 82 ex_fr_female$Type: Observed Year: 1983 Ex: 6.700000","Age: 82 ex_fr_female$Type: Observed Year: 1984 Ex: 6.990000","Age: 82 ex_fr_female$Type: Observed Year: 1985 Ex: 6.930000","Age: 82 ex_fr_female$Type: Observed Year: 1986 Ex: 7.040000","Age: 82 ex_fr_female$Type: Observed Year: 1987 Ex: 7.390000","Age: 82 ex_fr_female$Type: Observed Year: 1988 Ex: 7.480000","Age: 82 ex_fr_female$Type: Observed Year: 1989 Ex: 7.460000","Age: 82 ex_fr_female$Type: Observed Year: 1990 Ex: 7.570000","Age: 82 ex_fr_female$Type: Observed Year: 1991 Ex: 7.730000","Age: 82 ex_fr_female$Type: Observed Year: 1992 Ex: 7.870000","Age: 82 ex_fr_female$Type: Observed Year: 1993 Ex: 7.830000","Age: 82 ex_fr_female$Type: Observed Year: 1994 Ex: 8.130000","Age: 82 ex_fr_female$Type: Observed Year: 1995 Ex: 8.060000","Age: 82 ex_fr_female$Type: Observed Year: 1996 Ex: 8.090000","Age: 82 ex_fr_female$Type: Observed Year: 1997 Ex: 8.190000","Age: 82 ex_fr_female$Type: Observed Year: 1998 Ex: 8.190000","Age: 82 ex_fr_female$Type: Observed Year: 1999 Ex: 8.180000","Age: 82 ex_fr_female$Type: Observed Year: 2000 Ex: 8.330000","Age: 82 ex_fr_female$Type: Observed Year: 2001 Ex: 8.450000","Age: 82 ex_fr_female$Type: Observed Year: 2002 Ex: 8.430000","Age: 82 ex_fr_female$Type: Observed Year: 2003 Ex: 8.250000","Age: 82 ex_fr_female$Type: Observed Year: 2004 Ex: 8.940000","Age: 82 ex_fr_female$Type: Observed Year: 2005 Ex: 8.790000","Age: 82 ex_fr_female$Type: Observed Year: 2006 Ex: 9.080000","Age: 82 ex_fr_female$Type: Observed Year: 2007 Ex: 9.140000","Age: 82 ex_fr_female$Type: Observed Year: 2008 Ex: 9.110000","Age: 82 ex_fr_female$Type: Observed Year: 2009 Ex: 9.130000","Age: 82 ex_fr_female$Type: Observed Year: 2010 Ex: 9.260000","Age: 82 ex_fr_female$Type: Observed Year: 2011 Ex: 9.460000","Age: 82 ex_fr_female$Type: Observed Year: 2012 Ex: 9.260000","Age: 82 ex_fr_female$Type: Observed Year: 2013 Ex: 9.420000","Age: 82 ex_fr_female$Type: Observed Year: 2014 Ex: 9.700000","Age: 82 ex_fr_female$Type: Observed Year: 2015 Ex: 9.440000","Age: 82 ex_fr_female$Type: Observed Year: 2016 Ex: 9.590000","Age: 82 ex_fr_female$Type: Observed Year: 2017 Ex: 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82 ex_fr_female$Type: Predicted Year: 1816 Ex: 4.945567","Age: 82 ex_fr_female$Type: Predicted Year: 1817 Ex: 5.062392","Age: 82 ex_fr_female$Type: Predicted Year: 1818 Ex: 5.180213","Age: 82 ex_fr_female$Type: Predicted Year: 1819 Ex: 5.129723","Age: 82 ex_fr_female$Type: Predicted Year: 1820 Ex: 4.769569","Age: 82 ex_fr_female$Type: Predicted Year: 1821 Ex: 5.239090","Age: 82 ex_fr_female$Type: Predicted Year: 1822 Ex: 5.006528","Age: 82 ex_fr_female$Type: Predicted Year: 1823 Ex: 5.028279","Age: 82 ex_fr_female$Type: Predicted Year: 1824 Ex: 5.305696","Age: 82 ex_fr_female$Type: Predicted Year: 1825 Ex: 5.119312","Age: 82 ex_fr_female$Type: Predicted Year: 1826 Ex: 4.803606","Age: 82 ex_fr_female$Type: Predicted Year: 1827 Ex: 5.180348","Age: 82 ex_fr_female$Type: Predicted Year: 1828 Ex: 5.053457","Age: 82 ex_fr_female$Type: Predicted Year: 1829 Ex: 4.775200","Age: 82 ex_fr_female$Type: Predicted Year: 1830 Ex: 4.836465","Age: 82 ex_fr_female$Type: Predicted Year: 1831 Ex: 4.807889","Age: 82 ex_fr_female$Type: Predicted Year: 1832 Ex: 4.644634","Age: 82 ex_fr_female$Type: Predicted Year: 1833 Ex: 5.158730","Age: 82 ex_fr_female$Type: Predicted Year: 1834 Ex: 4.904424","Age: 82 ex_fr_female$Type: Predicted Year: 1835 Ex: 5.017062","Age: 82 ex_fr_female$Type: Predicted Year: 1836 Ex: 5.046984","Age: 82 ex_fr_female$Type: Predicted Year: 1837 Ex: 4.417015","Age: 82 ex_fr_female$Type: Predicted Year: 1838 Ex: 4.891484","Age: 82 ex_fr_female$Type: Predicted Year: 1839 Ex: 5.237065","Age: 82 ex_fr_female$Type: Predicted Year: 1840 Ex: 4.775522","Age: 82 ex_fr_female$Type: Predicted Year: 1841 Ex: 4.981285","Age: 82 ex_fr_female$Type: Predicted Year: 1842 Ex: 4.789587","Age: 82 ex_fr_female$Type: Predicted Year: 1843 Ex: 4.845441","Age: 82 ex_fr_female$Type: Predicted Year: 1844 Ex: 4.861658","Age: 82 ex_fr_female$Type: Predicted Year: 1845 Ex: 5.036856","Age: 82 ex_fr_female$Type: Predicted Year: 1846 Ex: 4.810514","Age: 82 ex_fr_female$Type: Predicted Year: 1847 Ex: 4.371393","Age: 82 ex_fr_female$Type: Predicted Year: 1848 Ex: 4.607233","Age: 82 ex_fr_female$Type: Predicted Year: 1849 Ex: 4.556687","Age: 82 ex_fr_female$Type: Predicted Year: 1850 Ex: 4.891488","Age: 82 ex_fr_female$Type: Predicted Year: 1851 Ex: 4.671551","Age: 82 ex_fr_female$Type: Predicted Year: 1852 Ex: 4.749721","Age: 82 ex_fr_female$Type: Predicted Year: 1853 Ex: 4.441106","Age: 82 ex_fr_female$Type: Predicted Year: 1854 Ex: 4.314301","Age: 82 ex_fr_female$Type: Predicted Year: 1855 Ex: 4.191879","Age: 82 ex_fr_female$Type: Predicted Year: 1856 Ex: 4.643801","Age: 82 ex_fr_female$Type: Predicted Year: 1857 Ex: 4.543529","Age: 82 ex_fr_female$Type: Predicted Year: 1858 Ex: 4.314091","Age: 82 ex_fr_female$Type: Predicted Year: 1859 Ex: 4.404980","Age: 82 ex_fr_female$Type: Predicted Year: 1860 Ex: 4.775834","Age: 82 ex_fr_female$Type: Predicted Year: 1861 Ex: 4.688754","Age: 82 ex_fr_female$Type: Predicted Year: 1862 Ex: 4.803996","Age: 82 ex_fr_female$Type: Predicted Year: 1863 Ex: 4.770436","Age: 82 ex_fr_female$Type: Predicted Year: 1864 Ex: 4.602408","Age: 82 ex_fr_female$Type: Predicted Year: 1865 Ex: 4.566955","Age: 82 ex_fr_female$Type: Predicted Year: 1866 Ex: 4.734305","Age: 82 ex_fr_female$Type: Predicted Year: 1867 Ex: 4.619075","Age: 82 ex_fr_female$Type: Predicted Year: 1868 Ex: 4.510744","Age: 82 ex_fr_female$Type: Predicted Year: 1869 Ex: 4.565968","Age: 82 ex_fr_female$Type: Predicted Year: 1870 Ex: 4.139663","Age: 82 ex_fr_female$Type: Predicted Year: 1871 Ex: 4.062977","Age: 82 ex_fr_female$Type: Predicted Year: 1872 Ex: 5.017948","Age: 82 ex_fr_female$Type: Predicted Year: 1873 Ex: 4.611028","Age: 82 ex_fr_female$Type: Predicted Year: 1874 Ex: 4.873589","Age: 82 ex_fr_female$Type: Predicted Year: 1875 Ex: 4.556064","Age: 82 ex_fr_female$Type: Predicted Year: 1876 Ex: 4.675745","Age: 82 ex_fr_female$Type: Predicted Year: 1877 Ex: 4.775498","Age: 82 ex_fr_female$Type: Predicted Year: 1878 Ex: 4.517428","Age: 82 ex_fr_female$Type: Predicted Year: 1879 Ex: 4.362658","Age: 82 ex_fr_female$Type: Predicted Year: 1880 Ex: 4.578095","Age: 82 ex_fr_female$Type: Predicted Year: 1881 Ex: 4.821445","Age: 82 ex_fr_female$Type: Predicted Year: 1882 Ex: 4.834116","Age: 82 ex_fr_female$Type: Predicted Year: 1883 Ex: 4.715908","Age: 82 ex_fr_female$Type: Predicted Year: 1884 Ex: 4.765705","Age: 82 ex_fr_female$Type: Predicted Year: 1885 Ex: 4.815555","Age: 82 ex_fr_female$Type: Predicted Year: 1886 Ex: 4.794975","Age: 82 ex_fr_female$Type: Predicted Year: 1887 Ex: 4.864758","Age: 82 ex_fr_female$Type: Predicted Year: 1888 Ex: 4.694720","Age: 82 ex_fr_female$Type: Predicted Year: 1889 Ex: 4.911813","Age: 82 ex_fr_female$Type: Predicted Year: 1890 Ex: 4.552041","Age: 82 ex_fr_female$Type: Predicted Year: 1891 Ex: 4.449997","Age: 82 ex_fr_female$Type: Predicted Year: 1892 Ex: 4.405707","Age: 82 ex_fr_female$Type: Predicted Year: 1893 Ex: 4.497427","Age: 82 ex_fr_female$Type: Predicted Year: 1894 Ex: 4.639292","Age: 82 ex_fr_female$Type: Predicted Year: 1895 Ex: 4.327249","Age: 82 ex_fr_female$Type: Predicted Year: 1896 Ex: 4.817627","Age: 82 ex_fr_female$Type: Predicted Year: 1897 Ex: 4.896499","Age: 82 ex_fr_female$Type: Predicted Year: 1898 Ex: 4.561249","Age: 82 ex_fr_female$Type: Predicted Year: 1899 Ex: 4.547520","Age: 82 ex_fr_female$Type: Predicted Year: 1900 Ex: 4.345386","Age: 82 ex_fr_female$Type: Predicted Year: 1901 Ex: 4.659510","Age: 82 ex_fr_female$Type: Predicted Year: 1902 Ex: 4.773674","Age: 82 ex_fr_female$Type: Predicted Year: 1903 Ex: 4.692620","Age: 82 ex_fr_female$Type: Predicted Year: 1904 Ex: 4.567707","Age: 82 ex_fr_female$Type: Predicted Year: 1905 Ex: 4.577988","Age: 82 ex_fr_female$Type: Predicted Year: 1906 Ex: 4.584909","Age: 82 ex_fr_female$Type: Predicted Year: 1907 Ex: 4.483641","Age: 82 ex_fr_female$Type: Predicted Year: 1908 Ex: 4.766481","Age: 82 ex_fr_female$Type: Predicted Year: 1909 Ex: 4.526656","Age: 82 ex_fr_female$Type: Predicted Year: 1910 Ex: 4.844943","Age: 82 ex_fr_female$Type: Predicted Year: 1911 Ex: 4.479611","Age: 82 ex_fr_female$Type: Predicted Year: 1912 Ex: 4.999506","Age: 82 ex_fr_female$Type: Predicted Year: 1913 Ex: 4.968565","Age: 82 ex_fr_female$Type: Predicted Year: 1914 Ex: 4.519911","Age: 82 ex_fr_female$Type: Predicted Year: 1915 Ex: 4.648275","Age: 82 ex_fr_female$Type: Predicted Year: 1916 Ex: 4.583026","Age: 82 ex_fr_female$Type: Predicted Year: 1917 Ex: 4.393407","Age: 82 ex_fr_female$Type: Predicted Year: 1918 Ex: 4.554094","Age: 82 ex_fr_female$Type: Predicted Year: 1919 Ex: 4.499365","Age: 82 ex_fr_female$Type: Predicted Year: 1920 Ex: 5.008791","Age: 82 ex_fr_female$Type: Predicted Year: 1921 Ex: 4.914165","Age: 82 ex_fr_female$Type: Predicted Year: 1922 Ex: 4.678447","Age: 82 ex_fr_female$Type: Predicted Year: 1923 Ex: 5.051724","Age: 82 ex_fr_female$Type: Predicted Year: 1924 Ex: 4.958508","Age: 82 ex_fr_female$Type: Predicted Year: 1925 Ex: 4.766619","Age: 82 ex_fr_female$Type: Predicted Year: 1926 Ex: 4.800453","Age: 82 ex_fr_female$Type: Predicted Year: 1927 Ex: 4.807088","Age: 82 ex_fr_female$Type: Predicted Year: 1928 Ex: 4.956242","Age: 82 ex_fr_female$Type: Predicted Year: 1929 Ex: 4.496583","Age: 82 ex_fr_female$Type: Predicted Year: 1930 Ex: 5.349806","Age: 82 ex_fr_female$Type: Predicted Year: 1931 Ex: 4.795120","Age: 82 ex_fr_female$Type: Predicted Year: 1932 Ex: 5.061085","Age: 82 ex_fr_female$Type: Predicted Year: 1933 Ex: 4.979709","Age: 82 ex_fr_female$Type: Predicted Year: 1934 Ex: 5.339429","Age: 82 ex_fr_female$Type: Predicted Year: 1935 Ex: 5.098116","Age: 82 ex_fr_female$Type: Predicted Year: 1936 Ex: 5.209364","Age: 82 ex_fr_female$Type: Predicted Year: 1937 Ex: 5.384170","Age: 82 ex_fr_female$Type: Predicted Year: 1938 Ex: 5.203262","Age: 82 ex_fr_female$Type: Predicted Year: 1939 Ex: 5.079197","Age: 82 ex_fr_female$Type: Predicted Year: 1940 Ex: 4.320230","Age: 82 ex_fr_female$Type: Predicted Year: 1941 Ex: 4.812789","Age: 82 ex_fr_female$Type: Predicted Year: 1942 Ex: 4.804251","Age: 82 ex_fr_female$Type: Predicted Year: 1943 Ex: 4.907859","Age: 82 ex_fr_female$Type: Predicted Year: 1944 Ex: 4.515711","Age: 82 ex_fr_female$Type: Predicted Year: 1945 Ex: 4.953841","Age: 82 ex_fr_female$Type: Predicted Year: 1946 Ex: 5.555524","Age: 82 ex_fr_female$Type: Predicted Year: 1947 Ex: 5.660095","Age: 82 ex_fr_female$Type: Predicted Year: 1948 Ex: 6.013043","Age: 82 ex_fr_female$Type: Predicted Year: 1949 Ex: 5.293568","Age: 82 ex_fr_female$Type: Predicted Year: 1950 Ex: 5.704828","Age: 82 ex_fr_female$Type: Predicted Year: 1951 Ex: 5.319361","Age: 82 ex_fr_female$Type: Predicted Year: 1952 Ex: 5.754133","Age: 82 ex_fr_female$Type: Predicted Year: 1953 Ex: 5.375686","Age: 82 ex_fr_female$Type: Predicted Year: 1954 Ex: 5.886359","Age: 82 ex_fr_female$Type: Predicted Year: 1955 Ex: 5.769813","Age: 82 ex_fr_female$Type: Predicted Year: 1956 Ex: 5.564648","Age: 82 ex_fr_female$Type: Predicted Year: 1957 Ex: 5.838436","Age: 82 ex_fr_female$Type: Predicted Year: 1958 Ex: 6.000329","Age: 82 ex_fr_female$Type: Predicted Year: 1959 Ex: 6.058573","Age: 82 ex_fr_female$Type: Predicted Year: 1960 Ex: 5.950592","Age: 82 ex_fr_female$Type: Predicted Year: 1961 Ex: 6.285060","Age: 82 ex_fr_female$Type: Predicted Year: 1962 Ex: 5.909170","Age: 82 ex_fr_female$Type: Predicted Year: 1963 Ex: 5.868569","Age: 82 ex_fr_female$Type: Predicted Year: 1964 Ex: 6.350746","Age: 82 ex_fr_female$Type: Predicted Year: 1965 Ex: 6.177410","Age: 82 ex_fr_female$Type: Predicted Year: 1966 Ex: 6.422997","Age: 82 ex_fr_female$Type: Predicted Year: 1967 Ex: 6.340753","Age: 82 ex_fr_female$Type: Predicted Year: 1968 Ex: 6.300987","Age: 82 ex_fr_female$Type: Predicted Year: 1969 Ex: 6.387510","Age: 82 ex_fr_female$Type: Predicted Year: 1970 Ex: 6.523419","Age: 82 ex_fr_female$Type: Predicted Year: 1971 Ex: 6.436069","Age: 82 ex_fr_female$Type: Predicted Year: 1972 Ex: 6.647324","Age: 82 ex_fr_female$Type: Predicted Year: 1973 Ex: 6.529206","Age: 82 ex_fr_female$Type: Predicted Year: 1974 Ex: 6.651698","Age: 82 ex_fr_female$Type: Predicted Year: 1975 Ex: 6.643983","Age: 82 ex_fr_female$Type: Predicted Year: 1976 Ex: 6.703181","Age: 82 ex_fr_female$Type: Predicted Year: 1977 Ex: 7.021621","Age: 82 ex_fr_female$Type: Predicted Year: 1978 Ex: 6.945442","Age: 82 ex_fr_female$Type: Predicted Year: 1979 Ex: 7.058307","Age: 82 ex_fr_female$Type: Predicted Year: 1980 Ex: 7.054461","Age: 82 ex_fr_female$Type: Predicted Year: 1981 Ex: 6.973088","Age: 82 ex_fr_female$Type: Predicted Year: 1982 Ex: 7.223566","Age: 82 ex_fr_female$Type: Predicted Year: 1983 Ex: 7.041786","Age: 82 ex_fr_female$Type: Predicted Year: 1984 Ex: 7.329883","Age: 82 ex_fr_female$Type: Predicted Year: 1985 Ex: 7.277550","Age: 82 ex_fr_female$Type: Predicted Year: 1986 Ex: 7.382113","Age: 82 ex_fr_female$Type: Predicted Year: 1987 Ex: 7.725297","Age: 82 ex_fr_female$Type: Predicted Year: 1988 Ex: 7.812587","Age: 82 ex_fr_female$Type: Predicted Year: 1989 Ex: 7.797451","Age: 82 ex_fr_female$Type: Predicted Year: 1990 Ex: 7.903007","Age: 82 ex_fr_female$Type: Predicted Year: 1991 Ex: 8.060939","Age: 82 ex_fr_female$Type: Predicted Year: 1992 Ex: 8.201191","Age: 82 ex_fr_female$Type: Predicted Year: 1993 Ex: 8.161555","Age: 82 ex_fr_female$Type: Predicted Year: 1994 Ex: 8.458078","Age: 82 ex_fr_female$Type: Predicted Year: 1995 Ex: 8.390315","Age: 82 ex_fr_female$Type: Predicted Year: 1996 Ex: 8.410642","Age: 82 ex_fr_female$Type: Predicted Year: 1997 Ex: 8.510297","Age: 82 ex_fr_female$Type: Predicted Year: 1998 Ex: 8.513865","Age: 82 ex_fr_female$Type: Predicted Year: 1999 Ex: 8.505800","Age: 82 ex_fr_female$Type: Predicted Year: 2000 Ex: 8.656266","Age: 82 ex_fr_female$Type: Predicted Year: 2001 Ex: 8.773060","Age: 82 ex_fr_female$Type: Predicted Year: 2002 Ex: 8.746068","Age: 82 ex_fr_female$Type: Predicted Year: 2003 Ex: 8.573569","Age: 82 ex_fr_female$Type: Predicted Year: 2004 Ex: 9.260737","Age: 82 ex_fr_female$Type: Predicted Year: 2005 Ex: 9.104191","Age: 82 ex_fr_female$Type: Predicted Year: 2006 Ex: 9.393129","Age: 82 ex_fr_female$Type: Predicted Year: 2007 Ex: 9.449836","Age: 82 ex_fr_female$Type: Predicted Year: 2008 Ex: 9.427366","Age: 82 ex_fr_female$Type: Predicted Year: 2009 Ex: 9.440937","Age: 82 ex_fr_female$Type: Predicted Year: 2010 Ex: 9.569587","Age: 82 ex_fr_female$Type: Predicted Year: 2011 Ex: 9.771190","Age: 82 ex_fr_female$Type: Predicted Year: 2012 Ex: 9.568445","Age: 82 ex_fr_female$Type: Predicted Year: 2013 Ex: 9.725780","Age: 82 ex_fr_female$Type: Predicted Year: 2014 Ex: 10.013020","Age: 82 ex_fr_female$Type: Predicted Year: 2015 Ex: 9.750210","Age: 82 ex_fr_female$Type: Predicted Year: 2016 Ex: 9.898976","Age: 82 ex_fr_female$Type: Predicted Year: 2017 Ex: 9.858165"],"frame":"82","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"83","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[4.37,4.5,4.59,4.53,4.18,4.64,4.38,4.42,4.73,4.52,4.2,4.58,4.46,4.17,4.23,4.19,4.03,4.53,4.3,4.4,4.43,3.82,4.29,4.63,4.14,4.36,4.19,4.23,4.25,4.42,4.17,3.74,3.99,3.94,4.26,4.04,4.12,3.81,3.69,3.56,3.97,3.88,3.67,3.76,4.13,4.05,4.14,4.12,3.96,3.91,4.08,3.97,3.87,3.93,3.51,3.43,4.36,3.96,4.21,3.91,4.02,4.12,3.86,3.71,3.94,4.18,4.2,4.07,4.12,4.16,4.12,4.18,4.03,4.25,3.9,3.81,3.75,3.83,3.98,3.69,4.14,4.27,3.92,3.9,3.7,4.04,4.15,4.03,3.9,3.92,3.93,3.84,4.11,3.88,4.18,3.82,4.32,4.28,3.88,3.98,3.94,3.73,3.88,3.84,4.34,4.24,4.02,4.36,4.29,4.09,4.13,4.14,4.28,3.84,4.64,4.13,4.36,4.29,4.66,4.41,4.52,4.68,4.51,4.39,3.64,4.13,4.12,4.22,3.84,4.26,4.85,4.95,5.29,4.59,4.99,4.61,5.04,4.66,5.15,5.04,4.84,5.09,5.26,5.31,5.2,5.54,5.16,5.11,5.59,5.43,5.65,5.58,5.54,5.62,5.76,5.66,5.87,5.75,5.87,5.86,5.91,6.22,6.15,6.25,6.24,6.16,6.4,6.23,6.5,6.45,6.56,6.88,6.97,6.94,7.05,7.19,7.32,7.27,7.57,7.49,7.52,7.61,7.63,7.61,7.74,7.86,7.84,7.67,8.33,8.18,8.47,8.51,8.49,8.51,8.62,8.81,8.61,8.76,9.03,8.78,8.92,8.88],"text":["Age: 83 ex_fr_female$Type: Observed Year: 1816 Ex: 4.370000","Age: 83 ex_fr_female$Type: Observed Year: 1817 Ex: 4.500000","Age: 83 ex_fr_female$Type: Observed Year: 1818 Ex: 4.590000","Age: 83 ex_fr_female$Type: Observed Year: 1819 Ex: 4.530000","Age: 83 ex_fr_female$Type: Observed Year: 1820 Ex: 4.180000","Age: 83 ex_fr_female$Type: Observed Year: 1821 Ex: 4.640000","Age: 83 ex_fr_female$Type: Observed Year: 1822 Ex: 4.380000","Age: 83 ex_fr_female$Type: Observed Year: 1823 Ex: 4.420000","Age: 83 ex_fr_female$Type: Observed Year: 1824 Ex: 4.730000","Age: 83 ex_fr_female$Type: Observed Year: 1825 Ex: 4.520000","Age: 83 ex_fr_female$Type: Observed Year: 1826 Ex: 4.200000","Age: 83 ex_fr_female$Type: Observed Year: 1827 Ex: 4.580000","Age: 83 ex_fr_female$Type: Observed Year: 1828 Ex: 4.460000","Age: 83 ex_fr_female$Type: Observed Year: 1829 Ex: 4.170000","Age: 83 ex_fr_female$Type: Observed Year: 1830 Ex: 4.230000","Age: 83 ex_fr_female$Type: Observed Year: 1831 Ex: 4.190000","Age: 83 ex_fr_female$Type: Observed Year: 1832 Ex: 4.030000","Age: 83 ex_fr_female$Type: Observed Year: 1833 Ex: 4.530000","Age: 83 ex_fr_female$Type: Observed Year: 1834 Ex: 4.300000","Age: 83 ex_fr_female$Type: Observed Year: 1835 Ex: 4.400000","Age: 83 ex_fr_female$Type: Observed Year: 1836 Ex: 4.430000","Age: 83 ex_fr_female$Type: Observed Year: 1837 Ex: 3.820000","Age: 83 ex_fr_female$Type: Observed Year: 1838 Ex: 4.290000","Age: 83 ex_fr_female$Type: Observed Year: 1839 Ex: 4.630000","Age: 83 ex_fr_female$Type: Observed Year: 1840 Ex: 4.140000","Age: 83 ex_fr_female$Type: Observed Year: 1841 Ex: 4.360000","Age: 83 ex_fr_female$Type: Observed Year: 1842 Ex: 4.190000","Age: 83 ex_fr_female$Type: Observed Year: 1843 Ex: 4.230000","Age: 83 ex_fr_female$Type: Observed Year: 1844 Ex: 4.250000","Age: 83 ex_fr_female$Type: Observed Year: 1845 Ex: 4.420000","Age: 83 ex_fr_female$Type: Observed Year: 1846 Ex: 4.170000","Age: 83 ex_fr_female$Type: Observed Year: 1847 Ex: 3.740000","Age: 83 ex_fr_female$Type: Observed Year: 1848 Ex: 3.990000","Age: 83 ex_fr_female$Type: Observed Year: 1849 Ex: 3.940000","Age: 83 ex_fr_female$Type: Observed Year: 1850 Ex: 4.260000","Age: 83 ex_fr_female$Type: Observed Year: 1851 Ex: 4.040000","Age: 83 ex_fr_female$Type: Observed Year: 1852 Ex: 4.120000","Age: 83 ex_fr_female$Type: Observed Year: 1853 Ex: 3.810000","Age: 83 ex_fr_female$Type: Observed Year: 1854 Ex: 3.690000","Age: 83 ex_fr_female$Type: Observed Year: 1855 Ex: 3.560000","Age: 83 ex_fr_female$Type: Observed Year: 1856 Ex: 3.970000","Age: 83 ex_fr_female$Type: Observed Year: 1857 Ex: 3.880000","Age: 83 ex_fr_female$Type: Observed Year: 1858 Ex: 3.670000","Age: 83 ex_fr_female$Type: Observed Year: 1859 Ex: 3.760000","Age: 83 ex_fr_female$Type: Observed Year: 1860 Ex: 4.130000","Age: 83 ex_fr_female$Type: Observed Year: 1861 Ex: 4.050000","Age: 83 ex_fr_female$Type: Observed Year: 1862 Ex: 4.140000","Age: 83 ex_fr_female$Type: Observed Year: 1863 Ex: 4.120000","Age: 83 ex_fr_female$Type: Observed Year: 1864 Ex: 3.960000","Age: 83 ex_fr_female$Type: Observed Year: 1865 Ex: 3.910000","Age: 83 ex_fr_female$Type: Observed Year: 1866 Ex: 4.080000","Age: 83 ex_fr_female$Type: Observed Year: 1867 Ex: 3.970000","Age: 83 ex_fr_female$Type: Observed Year: 1868 Ex: 3.870000","Age: 83 ex_fr_female$Type: Observed Year: 1869 Ex: 3.930000","Age: 83 ex_fr_female$Type: Observed Year: 1870 Ex: 3.510000","Age: 83 ex_fr_female$Type: Observed Year: 1871 Ex: 3.430000","Age: 83 ex_fr_female$Type: Observed Year: 1872 Ex: 4.360000","Age: 83 ex_fr_female$Type: Observed Year: 1873 Ex: 3.960000","Age: 83 ex_fr_female$Type: Observed Year: 1874 Ex: 4.210000","Age: 83 ex_fr_female$Type: Observed Year: 1875 Ex: 3.910000","Age: 83 ex_fr_female$Type: Observed Year: 1876 Ex: 4.020000","Age: 83 ex_fr_female$Type: Observed Year: 1877 Ex: 4.120000","Age: 83 ex_fr_female$Type: Observed Year: 1878 Ex: 3.860000","Age: 83 ex_fr_female$Type: Observed Year: 1879 Ex: 3.710000","Age: 83 ex_fr_female$Type: Observed Year: 1880 Ex: 3.940000","Age: 83 ex_fr_female$Type: Observed Year: 1881 Ex: 4.180000","Age: 83 ex_fr_female$Type: Observed Year: 1882 Ex: 4.200000","Age: 83 ex_fr_female$Type: Observed Year: 1883 Ex: 4.070000","Age: 83 ex_fr_female$Type: Observed Year: 1884 Ex: 4.120000","Age: 83 ex_fr_female$Type: Observed Year: 1885 Ex: 4.160000","Age: 83 ex_fr_female$Type: Observed Year: 1886 Ex: 4.120000","Age: 83 ex_fr_female$Type: Observed Year: 1887 Ex: 4.180000","Age: 83 ex_fr_female$Type: Observed Year: 1888 Ex: 4.030000","Age: 83 ex_fr_female$Type: Observed Year: 1889 Ex: 4.250000","Age: 83 ex_fr_female$Type: Observed Year: 1890 Ex: 3.900000","Age: 83 ex_fr_female$Type: Observed Year: 1891 Ex: 3.810000","Age: 83 ex_fr_female$Type: Observed Year: 1892 Ex: 3.750000","Age: 83 ex_fr_female$Type: Observed Year: 1893 Ex: 3.830000","Age: 83 ex_fr_female$Type: Observed Year: 1894 Ex: 3.980000","Age: 83 ex_fr_female$Type: Observed Year: 1895 Ex: 3.690000","Age: 83 ex_fr_female$Type: Observed Year: 1896 Ex: 4.140000","Age: 83 ex_fr_female$Type: Observed Year: 1897 Ex: 4.270000","Age: 83 ex_fr_female$Type: Observed Year: 1898 Ex: 3.920000","Age: 83 ex_fr_female$Type: Observed Year: 1899 Ex: 3.900000","Age: 83 ex_fr_female$Type: Observed Year: 1900 Ex: 3.700000","Age: 83 ex_fr_female$Type: Observed Year: 1901 Ex: 4.040000","Age: 83 ex_fr_female$Type: Observed Year: 1902 Ex: 4.150000","Age: 83 ex_fr_female$Type: Observed Year: 1903 Ex: 4.030000","Age: 83 ex_fr_female$Type: Observed Year: 1904 Ex: 3.900000","Age: 83 ex_fr_female$Type: Observed Year: 1905 Ex: 3.920000","Age: 83 ex_fr_female$Type: Observed Year: 1906 Ex: 3.930000","Age: 83 ex_fr_female$Type: Observed Year: 1907 Ex: 3.840000","Age: 83 ex_fr_female$Type: Observed Year: 1908 Ex: 4.110000","Age: 83 ex_fr_female$Type: Observed Year: 1909 Ex: 3.880000","Age: 83 ex_fr_female$Type: Observed Year: 1910 Ex: 4.180000","Age: 83 ex_fr_female$Type: Observed Year: 1911 Ex: 3.820000","Age: 83 ex_fr_female$Type: Observed Year: 1912 Ex: 4.320000","Age: 83 ex_fr_female$Type: Observed Year: 1913 Ex: 4.280000","Age: 83 ex_fr_female$Type: Observed Year: 1914 Ex: 3.880000","Age: 83 ex_fr_female$Type: Observed Year: 1915 Ex: 3.980000","Age: 83 ex_fr_female$Type: Observed Year: 1916 Ex: 3.940000","Age: 83 ex_fr_female$Type: Observed Year: 1917 Ex: 3.730000","Age: 83 ex_fr_female$Type: Observed Year: 1918 Ex: 3.880000","Age: 83 ex_fr_female$Type: Observed Year: 1919 Ex: 3.840000","Age: 83 ex_fr_female$Type: Observed Year: 1920 Ex: 4.340000","Age: 83 ex_fr_female$Type: Observed Year: 1921 Ex: 4.240000","Age: 83 ex_fr_female$Type: Observed Year: 1922 Ex: 4.020000","Age: 83 ex_fr_female$Type: Observed Year: 1923 Ex: 4.360000","Age: 83 ex_fr_female$Type: Observed Year: 1924 Ex: 4.290000","Age: 83 ex_fr_female$Type: Observed Year: 1925 Ex: 4.090000","Age: 83 ex_fr_female$Type: Observed Year: 1926 Ex: 4.130000","Age: 83 ex_fr_female$Type: Observed Year: 1927 Ex: 4.140000","Age: 83 ex_fr_female$Type: Observed Year: 1928 Ex: 4.280000","Age: 83 ex_fr_female$Type: Observed Year: 1929 Ex: 3.840000","Age: 83 ex_fr_female$Type: Observed Year: 1930 Ex: 4.640000","Age: 83 ex_fr_female$Type: Observed Year: 1931 Ex: 4.130000","Age: 83 ex_fr_female$Type: Observed Year: 1932 Ex: 4.360000","Age: 83 ex_fr_female$Type: Observed Year: 1933 Ex: 4.290000","Age: 83 ex_fr_female$Type: Observed Year: 1934 Ex: 4.660000","Age: 83 ex_fr_female$Type: Observed Year: 1935 Ex: 4.410000","Age: 83 ex_fr_female$Type: Observed Year: 1936 Ex: 4.520000","Age: 83 ex_fr_female$Type: Observed Year: 1937 Ex: 4.680000","Age: 83 ex_fr_female$Type: Observed Year: 1938 Ex: 4.510000","Age: 83 ex_fr_female$Type: Observed Year: 1939 Ex: 4.390000","Age: 83 ex_fr_female$Type: Observed Year: 1940 Ex: 3.640000","Age: 83 ex_fr_female$Type: Observed Year: 1941 Ex: 4.130000","Age: 83 ex_fr_female$Type: Observed Year: 1942 Ex: 4.120000","Age: 83 ex_fr_female$Type: Observed Year: 1943 Ex: 4.220000","Age: 83 ex_fr_female$Type: Observed Year: 1944 Ex: 3.840000","Age: 83 ex_fr_female$Type: Observed Year: 1945 Ex: 4.260000","Age: 83 ex_fr_female$Type: Observed Year: 1946 Ex: 4.850000","Age: 83 ex_fr_female$Type: Observed Year: 1947 Ex: 4.950000","Age: 83 ex_fr_female$Type: Observed Year: 1948 Ex: 5.290000","Age: 83 ex_fr_female$Type: Observed Year: 1949 Ex: 4.590000","Age: 83 ex_fr_female$Type: Observed Year: 1950 Ex: 4.990000","Age: 83 ex_fr_female$Type: Observed Year: 1951 Ex: 4.610000","Age: 83 ex_fr_female$Type: Observed Year: 1952 Ex: 5.040000","Age: 83 ex_fr_female$Type: Observed Year: 1953 Ex: 4.660000","Age: 83 ex_fr_female$Type: Observed Year: 1954 Ex: 5.150000","Age: 83 ex_fr_female$Type: Observed Year: 1955 Ex: 5.040000","Age: 83 ex_fr_female$Type: Observed Year: 1956 Ex: 4.840000","Age: 83 ex_fr_female$Type: Observed Year: 1957 Ex: 5.090000","Age: 83 ex_fr_female$Type: Observed Year: 1958 Ex: 5.260000","Age: 83 ex_fr_female$Type: Observed Year: 1959 Ex: 5.310000","Age: 83 ex_fr_female$Type: Observed Year: 1960 Ex: 5.200000","Age: 83 ex_fr_female$Type: Observed Year: 1961 Ex: 5.540000","Age: 83 ex_fr_female$Type: Observed Year: 1962 Ex: 5.160000","Age: 83 ex_fr_female$Type: Observed Year: 1963 Ex: 5.110000","Age: 83 ex_fr_female$Type: Observed Year: 1964 Ex: 5.590000","Age: 83 ex_fr_female$Type: Observed Year: 1965 Ex: 5.430000","Age: 83 ex_fr_female$Type: Observed Year: 1966 Ex: 5.650000","Age: 83 ex_fr_female$Type: Observed Year: 1967 Ex: 5.580000","Age: 83 ex_fr_female$Type: Observed Year: 1968 Ex: 5.540000","Age: 83 ex_fr_female$Type: Observed Year: 1969 Ex: 5.620000","Age: 83 ex_fr_female$Type: Observed Year: 1970 Ex: 5.760000","Age: 83 ex_fr_female$Type: Observed Year: 1971 Ex: 5.660000","Age: 83 ex_fr_female$Type: Observed Year: 1972 Ex: 5.870000","Age: 83 ex_fr_female$Type: Observed Year: 1973 Ex: 5.750000","Age: 83 ex_fr_female$Type: Observed Year: 1974 Ex: 5.870000","Age: 83 ex_fr_female$Type: Observed Year: 1975 Ex: 5.860000","Age: 83 ex_fr_female$Type: Observed Year: 1976 Ex: 5.910000","Age: 83 ex_fr_female$Type: Observed Year: 1977 Ex: 6.220000","Age: 83 ex_fr_female$Type: Observed Year: 1978 Ex: 6.150000","Age: 83 ex_fr_female$Type: Observed Year: 1979 Ex: 6.250000","Age: 83 ex_fr_female$Type: Observed Year: 1980 Ex: 6.240000","Age: 83 ex_fr_female$Type: Observed Year: 1981 Ex: 6.160000","Age: 83 ex_fr_female$Type: Observed Year: 1982 Ex: 6.400000","Age: 83 ex_fr_female$Type: Observed Year: 1983 Ex: 6.230000","Age: 83 ex_fr_female$Type: Observed Year: 1984 Ex: 6.500000","Age: 83 ex_fr_female$Type: Observed Year: 1985 Ex: 6.450000","Age: 83 ex_fr_female$Type: Observed Year: 1986 Ex: 6.560000","Age: 83 ex_fr_female$Type: Observed Year: 1987 Ex: 6.880000","Age: 83 ex_fr_female$Type: Observed Year: 1988 Ex: 6.970000","Age: 83 ex_fr_female$Type: Observed Year: 1989 Ex: 6.940000","Age: 83 ex_fr_female$Type: Observed Year: 1990 Ex: 7.050000","Age: 83 ex_fr_female$Type: Observed Year: 1991 Ex: 7.190000","Age: 83 ex_fr_female$Type: Observed Year: 1992 Ex: 7.320000","Age: 83 ex_fr_female$Type: Observed Year: 1993 Ex: 7.270000","Age: 83 ex_fr_female$Type: Observed Year: 1994 Ex: 7.570000","Age: 83 ex_fr_female$Type: Observed Year: 1995 Ex: 7.490000","Age: 83 ex_fr_female$Type: Observed Year: 1996 Ex: 7.520000","Age: 83 ex_fr_female$Type: Observed Year: 1997 Ex: 7.610000","Age: 83 ex_fr_female$Type: Observed Year: 1998 Ex: 7.630000","Age: 83 ex_fr_female$Type: Observed Year: 1999 Ex: 7.610000","Age: 83 ex_fr_female$Type: Observed Year: 2000 Ex: 7.740000","Age: 83 ex_fr_female$Type: Observed Year: 2001 Ex: 7.860000","Age: 83 ex_fr_female$Type: Observed Year: 2002 Ex: 7.840000","Age: 83 ex_fr_female$Type: Observed Year: 2003 Ex: 7.670000","Age: 83 ex_fr_female$Type: Observed Year: 2004 Ex: 8.330000","Age: 83 ex_fr_female$Type: Observed Year: 2005 Ex: 8.180000","Age: 83 ex_fr_female$Type: Observed Year: 2006 Ex: 8.470000","Age: 83 ex_fr_female$Type: Observed Year: 2007 Ex: 8.510000","Age: 83 ex_fr_female$Type: Observed Year: 2008 Ex: 8.490000","Age: 83 ex_fr_female$Type: Observed Year: 2009 Ex: 8.510000","Age: 83 ex_fr_female$Type: Observed Year: 2010 Ex: 8.620000","Age: 83 ex_fr_female$Type: Observed Year: 2011 Ex: 8.810000","Age: 83 ex_fr_female$Type: Observed Year: 2012 Ex: 8.610000","Age: 83 ex_fr_female$Type: Observed Year: 2013 Ex: 8.760000","Age: 83 ex_fr_female$Type: Observed Year: 2014 Ex: 9.030000","Age: 83 ex_fr_female$Type: Observed Year: 2015 Ex: 8.780000","Age: 83 ex_fr_female$Type: Observed Year: 2016 Ex: 8.920000","Age: 83 ex_fr_female$Type: Observed Year: 2017 Ex: 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83 ex_fr_female$Type: Predicted Year: 1816 Ex: 4.823031","Age: 83 ex_fr_female$Type: Predicted Year: 1817 Ex: 4.937755","Age: 83 ex_fr_female$Type: Predicted Year: 1818 Ex: 5.028618","Age: 83 ex_fr_female$Type: Predicted Year: 1819 Ex: 4.970243","Age: 83 ex_fr_female$Type: Predicted Year: 1820 Ex: 4.636736","Age: 83 ex_fr_female$Type: Predicted Year: 1821 Ex: 5.085331","Age: 83 ex_fr_female$Type: Predicted Year: 1822 Ex: 4.824413","Age: 83 ex_fr_female$Type: Predicted Year: 1823 Ex: 4.850435","Age: 83 ex_fr_female$Type: Predicted Year: 1824 Ex: 5.172391","Age: 83 ex_fr_female$Type: Predicted Year: 1825 Ex: 4.958326","Age: 83 ex_fr_female$Type: Predicted Year: 1826 Ex: 4.636249","Age: 83 ex_fr_female$Type: Predicted Year: 1827 Ex: 5.026551","Age: 83 ex_fr_female$Type: Predicted Year: 1828 Ex: 4.905604","Age: 83 ex_fr_female$Type: Predicted Year: 1829 Ex: 4.615065","Age: 83 ex_fr_female$Type: Predicted Year: 1830 Ex: 4.675726","Age: 83 ex_fr_female$Type: Predicted Year: 1831 Ex: 4.636130","Age: 83 ex_fr_female$Type: Predicted Year: 1832 Ex: 4.482857","Age: 83 ex_fr_female$Type: Predicted Year: 1833 Ex: 4.972137","Age: 83 ex_fr_female$Type: Predicted Year: 1834 Ex: 4.751172","Age: 83 ex_fr_female$Type: Predicted Year: 1835 Ex: 4.837020","Age: 83 ex_fr_female$Type: Predicted Year: 1836 Ex: 4.868048","Age: 83 ex_fr_female$Type: Predicted Year: 1837 Ex: 4.269992","Age: 83 ex_fr_female$Type: Predicted Year: 1838 Ex: 4.735480","Age: 83 ex_fr_female$Type: Predicted Year: 1839 Ex: 5.071659","Age: 83 ex_fr_female$Type: Predicted Year: 1840 Ex: 4.585739","Age: 83 ex_fr_female$Type: Predicted Year: 1841 Ex: 4.797629","Age: 83 ex_fr_female$Type: Predicted Year: 1842 Ex: 4.627676","Age: 83 ex_fr_female$Type: Predicted Year: 1843 Ex: 4.666773","Age: 83 ex_fr_female$Type: Predicted Year: 1844 Ex: 4.690864","Age: 83 ex_fr_female$Type: Predicted Year: 1845 Ex: 4.854419","Age: 83 ex_fr_female$Type: Predicted Year: 1846 Ex: 4.600421","Age: 83 ex_fr_female$Type: Predicted Year: 1847 Ex: 4.182848","Age: 83 ex_fr_female$Type: Predicted Year: 1848 Ex: 4.431622","Age: 83 ex_fr_female$Type: Predicted Year: 1849 Ex: 4.382094","Age: 83 ex_fr_female$Type: Predicted Year: 1850 Ex: 4.700212","Age: 83 ex_fr_female$Type: Predicted Year: 1851 Ex: 4.468369","Age: 83 ex_fr_female$Type: Predicted Year: 1852 Ex: 4.552809","Age: 83 ex_fr_female$Type: Predicted Year: 1853 Ex: 4.239887","Age: 83 ex_fr_female$Type: Predicted Year: 1854 Ex: 4.123064","Age: 83 ex_fr_female$Type: Predicted Year: 1855 Ex: 3.985720","Age: 83 ex_fr_female$Type: Predicted Year: 1856 Ex: 4.397532","Age: 83 ex_fr_female$Type: Predicted Year: 1857 Ex: 4.311431","Age: 83 ex_fr_female$Type: Predicted Year: 1858 Ex: 4.101448","Age: 83 ex_fr_female$Type: Predicted Year: 1859 Ex: 4.194593","Age: 83 ex_fr_female$Type: Predicted Year: 1860 Ex: 4.552614","Age: 83 ex_fr_female$Type: Predicted Year: 1861 Ex: 4.469945","Age: 83 ex_fr_female$Type: Predicted Year: 1862 Ex: 4.565043","Age: 83 ex_fr_female$Type: Predicted Year: 1863 Ex: 4.541309","Age: 83 ex_fr_female$Type: Predicted Year: 1864 Ex: 4.382279","Age: 83 ex_fr_female$Type: Predicted Year: 1865 Ex: 4.328203","Age: 83 ex_fr_female$Type: Predicted Year: 1866 Ex: 4.506515","Age: 83 ex_fr_female$Type: Predicted Year: 1867 Ex: 4.398115","Age: 83 ex_fr_female$Type: Predicted Year: 1868 Ex: 4.299382","Age: 83 ex_fr_female$Type: Predicted Year: 1869 Ex: 4.350531","Age: 83 ex_fr_female$Type: Predicted Year: 1870 Ex: 3.945826","Age: 83 ex_fr_female$Type: Predicted Year: 1871 Ex: 3.857962","Age: 83 ex_fr_female$Type: Predicted Year: 1872 Ex: 4.773188","Age: 83 ex_fr_female$Type: Predicted Year: 1873 Ex: 4.381754","Age: 83 ex_fr_female$Type: Predicted Year: 1874 Ex: 4.626417","Age: 83 ex_fr_female$Type: Predicted Year: 1875 Ex: 4.327028","Age: 83 ex_fr_female$Type: Predicted Year: 1876 Ex: 4.440507","Age: 83 ex_fr_female$Type: Predicted Year: 1877 Ex: 4.528063","Age: 83 ex_fr_female$Type: Predicted Year: 1878 Ex: 4.284565","Age: 83 ex_fr_female$Type: Predicted Year: 1879 Ex: 4.126187","Age: 83 ex_fr_female$Type: Predicted Year: 1880 Ex: 4.368186","Age: 83 ex_fr_female$Type: Predicted Year: 1881 Ex: 4.608671","Age: 83 ex_fr_female$Type: Predicted Year: 1882 Ex: 4.617721","Age: 83 ex_fr_female$Type: Predicted Year: 1883 Ex: 4.478491","Age: 83 ex_fr_female$Type: Predicted Year: 1884 Ex: 4.538869","Age: 83 ex_fr_female$Type: Predicted Year: 1885 Ex: 4.566392","Age: 83 ex_fr_female$Type: Predicted Year: 1886 Ex: 4.530574","Age: 83 ex_fr_female$Type: Predicted Year: 1887 Ex: 4.590957","Age: 83 ex_fr_female$Type: Predicted Year: 1888 Ex: 4.446842","Age: 83 ex_fr_female$Type: Predicted Year: 1889 Ex: 4.658695","Age: 83 ex_fr_female$Type: Predicted Year: 1890 Ex: 4.316268","Age: 83 ex_fr_female$Type: Predicted Year: 1891 Ex: 4.214082","Age: 83 ex_fr_female$Type: Predicted Year: 1892 Ex: 4.166254","Age: 83 ex_fr_female$Type: Predicted Year: 1893 Ex: 4.241790","Age: 83 ex_fr_female$Type: Predicted Year: 1894 Ex: 4.385458","Age: 83 ex_fr_female$Type: Predicted Year: 1895 Ex: 4.103511","Age: 83 ex_fr_female$Type: Predicted Year: 1896 Ex: 4.552477","Age: 83 ex_fr_female$Type: Predicted Year: 1897 Ex: 4.680209","Age: 83 ex_fr_female$Type: Predicted Year: 1898 Ex: 4.341582","Age: 83 ex_fr_female$Type: Predicted Year: 1899 Ex: 4.305856","Age: 83 ex_fr_female$Type: Predicted Year: 1900 Ex: 4.116706","Age: 83 ex_fr_female$Type: Predicted Year: 1901 Ex: 4.442013","Age: 83 ex_fr_female$Type: Predicted Year: 1902 Ex: 4.555200","Age: 83 ex_fr_female$Type: Predicted Year: 1903 Ex: 4.446357","Age: 83 ex_fr_female$Type: Predicted Year: 1904 Ex: 4.314283","Age: 83 ex_fr_female$Type: Predicted Year: 1905 Ex: 4.324846","Age: 83 ex_fr_female$Type: Predicted Year: 1906 Ex: 4.336589","Age: 83 ex_fr_female$Type: Predicted Year: 1907 Ex: 4.256055","Age: 83 ex_fr_female$Type: Predicted Year: 1908 Ex: 4.518166","Age: 83 ex_fr_female$Type: Predicted Year: 1909 Ex: 4.295556","Age: 83 ex_fr_female$Type: Predicted Year: 1910 Ex: 4.581937","Age: 83 ex_fr_female$Type: Predicted Year: 1911 Ex: 4.224795","Age: 83 ex_fr_female$Type: Predicted Year: 1912 Ex: 4.725581","Age: 83 ex_fr_female$Type: Predicted Year: 1913 Ex: 4.682451","Age: 83 ex_fr_female$Type: Predicted Year: 1914 Ex: 4.285352","Age: 83 ex_fr_female$Type: Predicted Year: 1915 Ex: 4.392808","Age: 83 ex_fr_female$Type: Predicted Year: 1916 Ex: 4.343329","Age: 83 ex_fr_female$Type: Predicted Year: 1917 Ex: 4.146264","Age: 83 ex_fr_female$Type: Predicted Year: 1918 Ex: 4.286879","Age: 83 ex_fr_female$Type: Predicted Year: 1919 Ex: 4.239933","Age: 83 ex_fr_female$Type: Predicted Year: 1920 Ex: 4.737101","Age: 83 ex_fr_female$Type: Predicted Year: 1921 Ex: 4.635757","Age: 83 ex_fr_female$Type: Predicted Year: 1922 Ex: 4.426808","Age: 83 ex_fr_female$Type: Predicted Year: 1923 Ex: 4.754169","Age: 83 ex_fr_female$Type: Predicted Year: 1924 Ex: 4.690011","Age: 83 ex_fr_female$Type: Predicted Year: 1925 Ex: 4.491130","Age: 83 ex_fr_female$Type: Predicted Year: 1926 Ex: 4.532229","Age: 83 ex_fr_female$Type: Predicted Year: 1927 Ex: 4.536951","Age: 83 ex_fr_female$Type: Predicted Year: 1928 Ex: 4.673098","Age: 83 ex_fr_female$Type: Predicted Year: 1929 Ex: 4.241553","Age: 83 ex_fr_female$Type: Predicted Year: 1930 Ex: 5.035718","Age: 83 ex_fr_female$Type: Predicted Year: 1931 Ex: 4.531909","Age: 83 ex_fr_female$Type: Predicted Year: 1932 Ex: 4.755036","Age: 83 ex_fr_female$Type: Predicted Year: 1933 Ex: 4.687910","Age: 83 ex_fr_female$Type: Predicted Year: 1934 Ex: 5.048788","Age: 83 ex_fr_female$Type: Predicted Year: 1935 Ex: 4.802655","Age: 83 ex_fr_female$Type: Predicted Year: 1936 Ex: 4.910358","Age: 83 ex_fr_female$Type: Predicted Year: 1937 Ex: 5.066941","Age: 83 ex_fr_female$Type: Predicted Year: 1938 Ex: 4.897594","Age: 83 ex_fr_female$Type: Predicted Year: 1939 Ex: 4.786042","Age: 83 ex_fr_female$Type: Predicted Year: 1940 Ex: 4.035798","Age: 83 ex_fr_female$Type: Predicted Year: 1941 Ex: 4.521344","Age: 83 ex_fr_female$Type: Predicted Year: 1942 Ex: 4.512310","Age: 83 ex_fr_female$Type: Predicted Year: 1943 Ex: 4.618991","Age: 83 ex_fr_female$Type: Predicted Year: 1944 Ex: 4.243086","Age: 83 ex_fr_female$Type: Predicted Year: 1945 Ex: 4.652148","Age: 83 ex_fr_female$Type: Predicted Year: 1946 Ex: 5.232356","Age: 83 ex_fr_female$Type: Predicted Year: 1947 Ex: 5.336085","Age: 83 ex_fr_female$Type: Predicted Year: 1948 Ex: 5.670475","Age: 83 ex_fr_female$Type: Predicted Year: 1949 Ex: 4.982474","Age: 83 ex_fr_female$Type: Predicted Year: 1950 Ex: 5.369451","Age: 83 ex_fr_female$Type: Predicted Year: 1951 Ex: 4.998702","Age: 83 ex_fr_female$Type: Predicted Year: 1952 Ex: 5.420059","Age: 83 ex_fr_female$Type: Predicted Year: 1953 Ex: 5.041500","Age: 83 ex_fr_female$Type: Predicted Year: 1954 Ex: 5.524331","Age: 83 ex_fr_female$Type: Predicted Year: 1955 Ex: 5.416969","Age: 83 ex_fr_female$Type: Predicted Year: 1956 Ex: 5.224571","Age: 83 ex_fr_female$Type: Predicted Year: 1957 Ex: 5.463370","Age: 83 ex_fr_female$Type: Predicted Year: 1958 Ex: 5.634547","Age: 83 ex_fr_female$Type: Predicted Year: 1959 Ex: 5.684354","Age: 83 ex_fr_female$Type: Predicted Year: 1960 Ex: 5.573528","Age: 83 ex_fr_female$Type: Predicted Year: 1961 Ex: 5.905627","Age: 83 ex_fr_female$Type: Predicted Year: 1962 Ex: 5.533542","Age: 83 ex_fr_female$Type: Predicted Year: 1963 Ex: 5.482791","Age: 83 ex_fr_female$Type: Predicted Year: 1964 Ex: 5.959746","Age: 83 ex_fr_female$Type: Predicted Year: 1965 Ex: 5.799175","Age: 83 ex_fr_female$Type: Predicted Year: 1966 Ex: 6.023281","Age: 83 ex_fr_female$Type: Predicted Year: 1967 Ex: 5.945740","Age: 83 ex_fr_female$Type: Predicted Year: 1968 Ex: 5.902560","Age: 83 ex_fr_female$Type: Predicted Year: 1969 Ex: 5.983678","Age: 83 ex_fr_female$Type: Predicted Year: 1970 Ex: 6.119202","Age: 83 ex_fr_female$Type: Predicted Year: 1971 Ex: 6.020010","Age: 83 ex_fr_female$Type: Predicted Year: 1972 Ex: 6.233599","Age: 83 ex_fr_female$Type: Predicted Year: 1973 Ex: 6.114681","Age: 83 ex_fr_female$Type: Predicted Year: 1974 Ex: 6.227730","Age: 83 ex_fr_female$Type: Predicted Year: 1975 Ex: 6.225423","Age: 83 ex_fr_female$Type: Predicted Year: 1976 Ex: 6.268216","Age: 83 ex_fr_female$Type: Predicted Year: 1977 Ex: 6.577342","Age: 83 ex_fr_female$Type: Predicted Year: 1978 Ex: 6.510947","Age: 83 ex_fr_female$Type: Predicted Year: 1979 Ex: 6.608249","Age: 83 ex_fr_female$Type: Predicted Year: 1980 Ex: 6.595476","Age: 83 ex_fr_female$Type: Predicted Year: 1981 Ex: 6.514198","Age: 83 ex_fr_female$Type: Predicted Year: 1982 Ex: 6.750892","Age: 83 ex_fr_female$Type: Predicted Year: 1983 Ex: 6.586367","Age: 83 ex_fr_female$Type: Predicted Year: 1984 Ex: 6.852725","Age: 83 ex_fr_female$Type: Predicted Year: 1985 Ex: 6.801356","Age: 83 ex_fr_female$Type: Predicted Year: 1986 Ex: 6.904652","Age: 83 ex_fr_female$Type: Predicted Year: 1987 Ex: 7.221996","Age: 83 ex_fr_female$Type: Predicted Year: 1988 Ex: 7.308091","Age: 83 ex_fr_female$Type: Predicted Year: 1989 Ex: 7.280861","Age: 83 ex_fr_female$Type: Predicted Year: 1990 Ex: 7.386065","Age: 83 ex_fr_female$Type: Predicted Year: 1991 Ex: 7.525813","Age: 83 ex_fr_female$Type: Predicted Year: 1992 Ex: 7.659240","Age: 83 ex_fr_female$Type: Predicted Year: 1993 Ex: 7.608802","Age: 83 ex_fr_female$Type: Predicted Year: 1994 Ex: 7.903102","Age: 83 ex_fr_female$Type: Predicted Year: 1995 Ex: 7.824133","Age: 83 ex_fr_female$Type: Predicted Year: 1996 Ex: 7.850673","Age: 83 ex_fr_female$Type: Predicted Year: 1997 Ex: 7.940992","Age: 83 ex_fr_female$Type: Predicted Year: 1998 Ex: 7.962263","Age: 83 ex_fr_female$Type: Predicted Year: 1999 Ex: 7.937941","Age: 83 ex_fr_female$Type: Predicted Year: 2000 Ex: 8.066303","Age: 83 ex_fr_female$Type: Predicted Year: 2001 Ex: 8.186187","Age: 83 ex_fr_female$Type: Predicted Year: 2002 Ex: 8.167209","Age: 83 ex_fr_female$Type: Predicted Year: 2003 Ex: 7.996010","Age: 83 ex_fr_female$Type: Predicted Year: 2004 Ex: 8.656071","Age: 83 ex_fr_female$Type: Predicted Year: 2005 Ex: 8.501462","Age: 83 ex_fr_female$Type: Predicted Year: 2006 Ex: 8.786166","Age: 83 ex_fr_female$Type: Predicted Year: 2007 Ex: 8.829591","Age: 83 ex_fr_female$Type: Predicted Year: 2008 Ex: 8.806260","Age: 83 ex_fr_female$Type: Predicted Year: 2009 Ex: 8.823859","Age: 83 ex_fr_female$Type: Predicted Year: 2010 Ex: 8.937697","Age: 83 ex_fr_female$Type: Predicted Year: 2011 Ex: 9.125599","Age: 83 ex_fr_female$Type: Predicted Year: 2012 Ex: 8.924056","Age: 83 ex_fr_female$Type: Predicted Year: 2013 Ex: 9.070599","Age: 83 ex_fr_female$Type: Predicted Year: 2014 Ex: 9.347078","Age: 83 ex_fr_female$Type: Predicted Year: 2015 Ex: 9.089321","Age: 83 ex_fr_female$Type: Predicted Year: 2016 Ex: 9.233800","Age: 83 ex_fr_female$Type: Predicted Year: 2017 Ex: 9.192408"],"frame":"83","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"84","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[4.29,4.42,4.48,4.41,4.1,4.53,4.24,4.28,4.65,4.4,4.06,4.47,4.35,4.05,4.11,4.07,3.91,4.39,4.2,4.26,4.29,3.71,4.18,4.51,3.99,4.22,4.06,4.08,4.12,4.27,3.99,3.59,3.86,3.8,4.11,3.87,3.95,3.63,3.53,3.38,3.75,3.68,3.48,3.58,3.93,3.85,3.92,3.91,3.76,3.68,3.88,3.78,3.69,3.74,3.34,3.24,4.14,3.76,3.99,3.7,3.81,3.9,3.65,3.49,3.76,4,4.01,3.85,3.92,3.93,3.88,3.93,3.81,4.02,3.68,3.58,3.53,3.59,3.73,3.48,3.93,4.05,3.69,3.65,3.47,3.77,3.89,3.78,3.65,3.65,3.68,3.63,3.86,3.67,3.91,3.59,4.06,4.02,3.64,3.77,3.68,3.51,3.63,3.57,4.08,3.96,3.76,4.08,4.04,3.83,3.86,3.88,4.01,3.59,4.37,3.84,4.08,4.01,4.36,4.13,4.23,4.38,4.22,4.12,3.38,3.84,3.83,3.94,3.56,3.98,4.53,4.65,4.96,4.31,4.67,4.31,4.71,4.35,4.81,4.7,4.51,4.75,4.91,4.97,4.85,5.17,4.81,4.76,5.21,5.06,5.28,5.2,5.15,5.24,5.36,5.27,5.47,5.36,5.46,5.46,5.5,5.8,5.75,5.83,5.81,5.74,5.96,5.8,6.05,5.99,6.09,6.4,6.48,6.44,6.54,6.68,6.8,6.75,7.03,6.97,6.98,7.06,7.09,7.07,7.19,7.29,7.29,7.11,7.76,7.6,7.87,7.91,7.9,7.91,8.02,8.19,7.99,8.12,8.4,8.13,8.28,8.23],"text":["Age: 84 ex_fr_female$Type: Observed Year: 1816 Ex: 4.290000","Age: 84 ex_fr_female$Type: Observed Year: 1817 Ex: 4.420000","Age: 84 ex_fr_female$Type: Observed Year: 1818 Ex: 4.480000","Age: 84 ex_fr_female$Type: Observed Year: 1819 Ex: 4.410000","Age: 84 ex_fr_female$Type: Observed Year: 1820 Ex: 4.100000","Age: 84 ex_fr_female$Type: Observed Year: 1821 Ex: 4.530000","Age: 84 ex_fr_female$Type: Observed Year: 1822 Ex: 4.240000","Age: 84 ex_fr_female$Type: Observed Year: 1823 Ex: 4.280000","Age: 84 ex_fr_female$Type: Observed Year: 1824 Ex: 4.650000","Age: 84 ex_fr_female$Type: Observed Year: 1825 Ex: 4.400000","Age: 84 ex_fr_female$Type: Observed Year: 1826 Ex: 4.060000","Age: 84 ex_fr_female$Type: Observed Year: 1827 Ex: 4.470000","Age: 84 ex_fr_female$Type: Observed Year: 1828 Ex: 4.350000","Age: 84 ex_fr_female$Type: Observed Year: 1829 Ex: 4.050000","Age: 84 ex_fr_female$Type: Observed Year: 1830 Ex: 4.110000","Age: 84 ex_fr_female$Type: Observed Year: 1831 Ex: 4.070000","Age: 84 ex_fr_female$Type: Observed Year: 1832 Ex: 3.910000","Age: 84 ex_fr_female$Type: Observed Year: 1833 Ex: 4.390000","Age: 84 ex_fr_female$Type: Observed Year: 1834 Ex: 4.200000","Age: 84 ex_fr_female$Type: Observed Year: 1835 Ex: 4.260000","Age: 84 ex_fr_female$Type: Observed Year: 1836 Ex: 4.290000","Age: 84 ex_fr_female$Type: Observed Year: 1837 Ex: 3.710000","Age: 84 ex_fr_female$Type: Observed Year: 1838 Ex: 4.180000","Age: 84 ex_fr_female$Type: Observed Year: 1839 Ex: 4.510000","Age: 84 ex_fr_female$Type: Observed Year: 1840 Ex: 3.990000","Age: 84 ex_fr_female$Type: Observed Year: 1841 Ex: 4.220000","Age: 84 ex_fr_female$Type: Observed Year: 1842 Ex: 4.060000","Age: 84 ex_fr_female$Type: Observed Year: 1843 Ex: 4.080000","Age: 84 ex_fr_female$Type: Observed Year: 1844 Ex: 4.120000","Age: 84 ex_fr_female$Type: Observed Year: 1845 Ex: 4.270000","Age: 84 ex_fr_female$Type: Observed Year: 1846 Ex: 3.990000","Age: 84 ex_fr_female$Type: Observed Year: 1847 Ex: 3.590000","Age: 84 ex_fr_female$Type: Observed Year: 1848 Ex: 3.860000","Age: 84 ex_fr_female$Type: Observed Year: 1849 Ex: 3.800000","Age: 84 ex_fr_female$Type: Observed Year: 1850 Ex: 4.110000","Age: 84 ex_fr_female$Type: Observed Year: 1851 Ex: 3.870000","Age: 84 ex_fr_female$Type: Observed Year: 1852 Ex: 3.950000","Age: 84 ex_fr_female$Type: Observed Year: 1853 Ex: 3.630000","Age: 84 ex_fr_female$Type: Observed Year: 1854 Ex: 3.530000","Age: 84 ex_fr_female$Type: Observed Year: 1855 Ex: 3.380000","Age: 84 ex_fr_female$Type: Observed Year: 1856 Ex: 3.750000","Age: 84 ex_fr_female$Type: Observed Year: 1857 Ex: 3.680000","Age: 84 ex_fr_female$Type: Observed Year: 1858 Ex: 3.480000","Age: 84 ex_fr_female$Type: Observed Year: 1859 Ex: 3.580000","Age: 84 ex_fr_female$Type: Observed Year: 1860 Ex: 3.930000","Age: 84 ex_fr_female$Type: Observed Year: 1861 Ex: 3.850000","Age: 84 ex_fr_female$Type: Observed Year: 1862 Ex: 3.920000","Age: 84 ex_fr_female$Type: Observed Year: 1863 Ex: 3.910000","Age: 84 ex_fr_female$Type: Observed Year: 1864 Ex: 3.760000","Age: 84 ex_fr_female$Type: Observed Year: 1865 Ex: 3.680000","Age: 84 ex_fr_female$Type: Observed Year: 1866 Ex: 3.880000","Age: 84 ex_fr_female$Type: Observed Year: 1867 Ex: 3.780000","Age: 84 ex_fr_female$Type: Observed Year: 1868 Ex: 3.690000","Age: 84 ex_fr_female$Type: Observed Year: 1869 Ex: 3.740000","Age: 84 ex_fr_female$Type: Observed Year: 1870 Ex: 3.340000","Age: 84 ex_fr_female$Type: Observed Year: 1871 Ex: 3.240000","Age: 84 ex_fr_female$Type: Observed Year: 1872 Ex: 4.140000","Age: 84 ex_fr_female$Type: Observed Year: 1873 Ex: 3.760000","Age: 84 ex_fr_female$Type: Observed Year: 1874 Ex: 3.990000","Age: 84 ex_fr_female$Type: Observed Year: 1875 Ex: 3.700000","Age: 84 ex_fr_female$Type: Observed Year: 1876 Ex: 3.810000","Age: 84 ex_fr_female$Type: Observed Year: 1877 Ex: 3.900000","Age: 84 ex_fr_female$Type: Observed Year: 1878 Ex: 3.650000","Age: 84 ex_fr_female$Type: Observed Year: 1879 Ex: 3.490000","Age: 84 ex_fr_female$Type: Observed Year: 1880 Ex: 3.760000","Age: 84 ex_fr_female$Type: Observed Year: 1881 Ex: 4.000000","Age: 84 ex_fr_female$Type: Observed Year: 1882 Ex: 4.010000","Age: 84 ex_fr_female$Type: Observed Year: 1883 Ex: 3.850000","Age: 84 ex_fr_female$Type: Observed Year: 1884 Ex: 3.920000","Age: 84 ex_fr_female$Type: Observed Year: 1885 Ex: 3.930000","Age: 84 ex_fr_female$Type: Observed Year: 1886 Ex: 3.880000","Age: 84 ex_fr_female$Type: Observed Year: 1887 Ex: 3.930000","Age: 84 ex_fr_female$Type: Observed Year: 1888 Ex: 3.810000","Age: 84 ex_fr_female$Type: Observed Year: 1889 Ex: 4.020000","Age: 84 ex_fr_female$Type: Observed Year: 1890 Ex: 3.680000","Age: 84 ex_fr_female$Type: Observed Year: 1891 Ex: 3.580000","Age: 84 ex_fr_female$Type: Observed Year: 1892 Ex: 3.530000","Age: 84 ex_fr_female$Type: Observed Year: 1893 Ex: 3.590000","Age: 84 ex_fr_female$Type: Observed Year: 1894 Ex: 3.730000","Age: 84 ex_fr_female$Type: Observed Year: 1895 Ex: 3.480000","Age: 84 ex_fr_female$Type: Observed Year: 1896 Ex: 3.930000","Age: 84 ex_fr_female$Type: Observed Year: 1897 Ex: 4.050000","Age: 84 ex_fr_female$Type: Observed Year: 1898 Ex: 3.690000","Age: 84 ex_fr_female$Type: Observed Year: 1899 Ex: 3.650000","Age: 84 ex_fr_female$Type: Observed Year: 1900 Ex: 3.470000","Age: 84 ex_fr_female$Type: Observed Year: 1901 Ex: 3.770000","Age: 84 ex_fr_female$Type: Observed Year: 1902 Ex: 3.890000","Age: 84 ex_fr_female$Type: Observed Year: 1903 Ex: 3.780000","Age: 84 ex_fr_female$Type: Observed Year: 1904 Ex: 3.650000","Age: 84 ex_fr_female$Type: Observed Year: 1905 Ex: 3.650000","Age: 84 ex_fr_female$Type: Observed Year: 1906 Ex: 3.680000","Age: 84 ex_fr_female$Type: Observed Year: 1907 Ex: 3.630000","Age: 84 ex_fr_female$Type: Observed Year: 1908 Ex: 3.860000","Age: 84 ex_fr_female$Type: Observed Year: 1909 Ex: 3.670000","Age: 84 ex_fr_female$Type: Observed Year: 1910 Ex: 3.910000","Age: 84 ex_fr_female$Type: Observed Year: 1911 Ex: 3.590000","Age: 84 ex_fr_female$Type: Observed Year: 1912 Ex: 4.060000","Age: 84 ex_fr_female$Type: Observed Year: 1913 Ex: 4.020000","Age: 84 ex_fr_female$Type: Observed Year: 1914 Ex: 3.640000","Age: 84 ex_fr_female$Type: Observed Year: 1915 Ex: 3.770000","Age: 84 ex_fr_female$Type: Observed Year: 1916 Ex: 3.680000","Age: 84 ex_fr_female$Type: Observed Year: 1917 Ex: 3.510000","Age: 84 ex_fr_female$Type: Observed Year: 1918 Ex: 3.630000","Age: 84 ex_fr_female$Type: Observed Year: 1919 Ex: 3.570000","Age: 84 ex_fr_female$Type: Observed Year: 1920 Ex: 4.080000","Age: 84 ex_fr_female$Type: Observed Year: 1921 Ex: 3.960000","Age: 84 ex_fr_female$Type: Observed Year: 1922 Ex: 3.760000","Age: 84 ex_fr_female$Type: Observed Year: 1923 Ex: 4.080000","Age: 84 ex_fr_female$Type: Observed Year: 1924 Ex: 4.040000","Age: 84 ex_fr_female$Type: Observed Year: 1925 Ex: 3.830000","Age: 84 ex_fr_female$Type: Observed Year: 1926 Ex: 3.860000","Age: 84 ex_fr_female$Type: Observed Year: 1927 Ex: 3.880000","Age: 84 ex_fr_female$Type: Observed Year: 1928 Ex: 4.010000","Age: 84 ex_fr_female$Type: Observed Year: 1929 Ex: 3.590000","Age: 84 ex_fr_female$Type: Observed Year: 1930 Ex: 4.370000","Age: 84 ex_fr_female$Type: Observed Year: 1931 Ex: 3.840000","Age: 84 ex_fr_female$Type: Observed Year: 1932 Ex: 4.080000","Age: 84 ex_fr_female$Type: Observed Year: 1933 Ex: 4.010000","Age: 84 ex_fr_female$Type: Observed Year: 1934 Ex: 4.360000","Age: 84 ex_fr_female$Type: Observed Year: 1935 Ex: 4.130000","Age: 84 ex_fr_female$Type: Observed Year: 1936 Ex: 4.230000","Age: 84 ex_fr_female$Type: Observed Year: 1937 Ex: 4.380000","Age: 84 ex_fr_female$Type: Observed Year: 1938 Ex: 4.220000","Age: 84 ex_fr_female$Type: Observed Year: 1939 Ex: 4.120000","Age: 84 ex_fr_female$Type: Observed Year: 1940 Ex: 3.380000","Age: 84 ex_fr_female$Type: Observed Year: 1941 Ex: 3.840000","Age: 84 ex_fr_female$Type: Observed Year: 1942 Ex: 3.830000","Age: 84 ex_fr_female$Type: Observed Year: 1943 Ex: 3.940000","Age: 84 ex_fr_female$Type: Observed Year: 1944 Ex: 3.560000","Age: 84 ex_fr_female$Type: Observed Year: 1945 Ex: 3.980000","Age: 84 ex_fr_female$Type: Observed Year: 1946 Ex: 4.530000","Age: 84 ex_fr_female$Type: Observed Year: 1947 Ex: 4.650000","Age: 84 ex_fr_female$Type: Observed Year: 1948 Ex: 4.960000","Age: 84 ex_fr_female$Type: Observed Year: 1949 Ex: 4.310000","Age: 84 ex_fr_female$Type: Observed Year: 1950 Ex: 4.670000","Age: 84 ex_fr_female$Type: Observed Year: 1951 Ex: 4.310000","Age: 84 ex_fr_female$Type: Observed Year: 1952 Ex: 4.710000","Age: 84 ex_fr_female$Type: Observed Year: 1953 Ex: 4.350000","Age: 84 ex_fr_female$Type: Observed Year: 1954 Ex: 4.810000","Age: 84 ex_fr_female$Type: Observed Year: 1955 Ex: 4.700000","Age: 84 ex_fr_female$Type: Observed Year: 1956 Ex: 4.510000","Age: 84 ex_fr_female$Type: Observed Year: 1957 Ex: 4.750000","Age: 84 ex_fr_female$Type: Observed Year: 1958 Ex: 4.910000","Age: 84 ex_fr_female$Type: Observed Year: 1959 Ex: 4.970000","Age: 84 ex_fr_female$Type: Observed Year: 1960 Ex: 4.850000","Age: 84 ex_fr_female$Type: Observed Year: 1961 Ex: 5.170000","Age: 84 ex_fr_female$Type: Observed Year: 1962 Ex: 4.810000","Age: 84 ex_fr_female$Type: Observed Year: 1963 Ex: 4.760000","Age: 84 ex_fr_female$Type: Observed Year: 1964 Ex: 5.210000","Age: 84 ex_fr_female$Type: Observed Year: 1965 Ex: 5.060000","Age: 84 ex_fr_female$Type: Observed Year: 1966 Ex: 5.280000","Age: 84 ex_fr_female$Type: Observed Year: 1967 Ex: 5.200000","Age: 84 ex_fr_female$Type: Observed Year: 1968 Ex: 5.150000","Age: 84 ex_fr_female$Type: Observed Year: 1969 Ex: 5.240000","Age: 84 ex_fr_female$Type: Observed Year: 1970 Ex: 5.360000","Age: 84 ex_fr_female$Type: Observed Year: 1971 Ex: 5.270000","Age: 84 ex_fr_female$Type: Observed Year: 1972 Ex: 5.470000","Age: 84 ex_fr_female$Type: Observed Year: 1973 Ex: 5.360000","Age: 84 ex_fr_female$Type: Observed Year: 1974 Ex: 5.460000","Age: 84 ex_fr_female$Type: Observed Year: 1975 Ex: 5.460000","Age: 84 ex_fr_female$Type: Observed Year: 1976 Ex: 5.500000","Age: 84 ex_fr_female$Type: Observed Year: 1977 Ex: 5.800000","Age: 84 ex_fr_female$Type: Observed Year: 1978 Ex: 5.750000","Age: 84 ex_fr_female$Type: Observed Year: 1979 Ex: 5.830000","Age: 84 ex_fr_female$Type: Observed Year: 1980 Ex: 5.810000","Age: 84 ex_fr_female$Type: Observed Year: 1981 Ex: 5.740000","Age: 84 ex_fr_female$Type: Observed Year: 1982 Ex: 5.960000","Age: 84 ex_fr_female$Type: Observed Year: 1983 Ex: 5.800000","Age: 84 ex_fr_female$Type: Observed Year: 1984 Ex: 6.050000","Age: 84 ex_fr_female$Type: Observed Year: 1985 Ex: 5.990000","Age: 84 ex_fr_female$Type: Observed Year: 1986 Ex: 6.090000","Age: 84 ex_fr_female$Type: Observed Year: 1987 Ex: 6.400000","Age: 84 ex_fr_female$Type: Observed Year: 1988 Ex: 6.480000","Age: 84 ex_fr_female$Type: Observed Year: 1989 Ex: 6.440000","Age: 84 ex_fr_female$Type: Observed Year: 1990 Ex: 6.540000","Age: 84 ex_fr_female$Type: Observed Year: 1991 Ex: 6.680000","Age: 84 ex_fr_female$Type: Observed Year: 1992 Ex: 6.800000","Age: 84 ex_fr_female$Type: Observed Year: 1993 Ex: 6.750000","Age: 84 ex_fr_female$Type: Observed Year: 1994 Ex: 7.030000","Age: 84 ex_fr_female$Type: Observed Year: 1995 Ex: 6.970000","Age: 84 ex_fr_female$Type: Observed Year: 1996 Ex: 6.980000","Age: 84 ex_fr_female$Type: Observed Year: 1997 Ex: 7.060000","Age: 84 ex_fr_female$Type: Observed Year: 1998 Ex: 7.090000","Age: 84 ex_fr_female$Type: Observed Year: 1999 Ex: 7.070000","Age: 84 ex_fr_female$Type: Observed Year: 2000 Ex: 7.190000","Age: 84 ex_fr_female$Type: Observed Year: 2001 Ex: 7.290000","Age: 84 ex_fr_female$Type: Observed Year: 2002 Ex: 7.290000","Age: 84 ex_fr_female$Type: Observed Year: 2003 Ex: 7.110000","Age: 84 ex_fr_female$Type: Observed Year: 2004 Ex: 7.760000","Age: 84 ex_fr_female$Type: Observed Year: 2005 Ex: 7.600000","Age: 84 ex_fr_female$Type: Observed Year: 2006 Ex: 7.870000","Age: 84 ex_fr_female$Type: Observed Year: 2007 Ex: 7.910000","Age: 84 ex_fr_female$Type: Observed Year: 2008 Ex: 7.900000","Age: 84 ex_fr_female$Type: Observed Year: 2009 Ex: 7.910000","Age: 84 ex_fr_female$Type: Observed Year: 2010 Ex: 8.020000","Age: 84 ex_fr_female$Type: Observed Year: 2011 Ex: 8.190000","Age: 84 ex_fr_female$Type: Observed Year: 2012 Ex: 7.990000","Age: 84 ex_fr_female$Type: Observed Year: 2013 Ex: 8.120000","Age: 84 ex_fr_female$Type: Observed Year: 2014 Ex: 8.400000","Age: 84 ex_fr_female$Type: Observed Year: 2015 Ex: 8.130000","Age: 84 ex_fr_female$Type: Observed Year: 2016 Ex: 8.280000","Age: 84 ex_fr_female$Type: Observed Year: 2017 Ex: 8.230000"],"frame":"84","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[4.74807850117055,4.85801942393566,4.91564677609692,4.85354886444006,4.55304982191899,4.98125727227361,4.68710757291565,4.7160062608722,5.08758021450087,4.84180808298627,4.50518821421947,4.91584918131655,4.80253886100755,4.49808387920814,4.56383176562259,4.51222170986312,4.36243262609142,4.82674680954188,4.64726586005247,4.6968304318446,4.72926231275683,4.16201389774215,4.62423112701362,4.94682387459668,4.4336022015477,4.65394108977444,4.5039468017402,4.52521208530253,4.56416908526715,4.71389259417957,4.42845987644423,4.03756527205312,4.30196829810444,4.24895290427532,4.55023591788296,4.30082937797628,4.38855835214263,4.07194289909253,3.96381698056388,3.80921574312292,4.18365394326156,4.11278481186913,3.91977336150568,4.01483791243107,4.35589406347374,4.28088430194445,4.35060007640213,4.34059165681949,4.19298422637548,4.1140966886174,4.30574220748494,4.2075180389602,4.12053423512261,4.1654226359788,3.78331765440864,3.6812851729196,4.55961635815164,4.18435595509844,4.40689536984665,4.12717591779446,4.23696908362083,4.3125819136699,4.08438606985847,3.91895544134856,4.19036332563794,4.42703540053039,4.42967982773974,4.2652053072279,4.34020548907228,4.34458808958619,4.29471113887734,4.34599572990322,4.22701229789411,4.43626927621893,4.10472536816882,3.99655579148561,3.94802460158815,4.00580612402316,4.14061247497907,3.89109978155502,4.34272703126223,4.46200554480619,4.11153425833494,4.06427355220986,3.89828844800599,4.18766042016769,4.30378455002335,4.20338185183647,4.07414928034224,4.0558527897631,4.0895027695174,4.04971297696721,4.27052161966433,4.08754986385536,4.32626131903271,3.99907198554412,4.47191121671437,4.43207534344183,4.04953677226004,4.1801957751987,4.09677698264051,3.92712218579303,4.04825093236603,3.97911285192392,4.48040040788705,4.36504665437163,4.17376756059104,4.48568809354843,4.44009451909955,4.2334146372674,4.27186040259189,4.28857660354147,4.41401617687606,3.99693987986445,4.76858976686921,4.2479502530974,4.48339360571805,4.41297772452523,4.76314601444631,4.52508822459901,4.62616922488081,4.7723177023804,4.61838201154294,4.51324598194249,3.78235368890925,4.23779745473132,4.23673061694623,4.34113233832007,3.97295787724197,4.37774529643751,4.92035407866513,5.03894077227995,5.34612288368439,4.69936624281208,5.05529467538446,4.70268285333965,5.09670781119254,4.73652195692288,5.19841626931083,5.08651303596604,4.8994911524827,5.13057656346958,5.29304315005966,5.34747741198726,5.22839466831439,5.54491059808347,5.19180998143998,5.1409869570294,5.58836737600322,5.43675751090927,5.65495673287463,5.57281032022253,5.52363105103674,5.61499334179361,5.7308424899706,5.63966388080653,5.84037678320002,5.73107506973894,5.82551058292051,5.82930468378267,5.86932732195976,6.159812343172,6.10807949147034,6.191132580893,6.17045366986671,6.09795107458418,6.32321109542488,6.15481512616776,6.40698089012282,6.35112938246724,6.44734344643026,6.75123169791923,6.83227462551445,6.7916952134649,6.88934457044541,7.02527964993175,7.14611418931318,7.09490670102083,7.36669341233371,7.30477819120146,7.31410863746915,7.39857115131174,7.42178452614704,7.40806638659008,7.52026164953282,7.62535246689686,7.62153007224674,7.44272996354656,8.08463349820568,7.92367050045564,8.19890284928741,8.2381060453544,8.22183089366849,8.2303457086506,8.33885862022453,8.51465477665302,8.31406876486988,8.44007448362985,8.71389661973533,8.45404792117932,8.59828747437138,8.54692838233332],"text":["Age: 84 ex_fr_female$Type: Predicted Year: 1816 Ex: 4.748079","Age: 84 ex_fr_female$Type: Predicted Year: 1817 Ex: 4.858019","Age: 84 ex_fr_female$Type: Predicted Year: 1818 Ex: 4.915647","Age: 84 ex_fr_female$Type: Predicted Year: 1819 Ex: 4.853549","Age: 84 ex_fr_female$Type: Predicted Year: 1820 Ex: 4.553050","Age: 84 ex_fr_female$Type: Predicted Year: 1821 Ex: 4.981257","Age: 84 ex_fr_female$Type: Predicted Year: 1822 Ex: 4.687108","Age: 84 ex_fr_female$Type: Predicted Year: 1823 Ex: 4.716006","Age: 84 ex_fr_female$Type: Predicted Year: 1824 Ex: 5.087580","Age: 84 ex_fr_female$Type: Predicted Year: 1825 Ex: 4.841808","Age: 84 ex_fr_female$Type: Predicted Year: 1826 Ex: 4.505188","Age: 84 ex_fr_female$Type: Predicted Year: 1827 Ex: 4.915849","Age: 84 ex_fr_female$Type: Predicted Year: 1828 Ex: 4.802539","Age: 84 ex_fr_female$Type: Predicted Year: 1829 Ex: 4.498084","Age: 84 ex_fr_female$Type: Predicted Year: 1830 Ex: 4.563832","Age: 84 ex_fr_female$Type: Predicted Year: 1831 Ex: 4.512222","Age: 84 ex_fr_female$Type: Predicted Year: 1832 Ex: 4.362433","Age: 84 ex_fr_female$Type: Predicted Year: 1833 Ex: 4.826747","Age: 84 ex_fr_female$Type: Predicted Year: 1834 Ex: 4.647266","Age: 84 ex_fr_female$Type: Predicted Year: 1835 Ex: 4.696830","Age: 84 ex_fr_female$Type: Predicted Year: 1836 Ex: 4.729262","Age: 84 ex_fr_female$Type: Predicted Year: 1837 Ex: 4.162014","Age: 84 ex_fr_female$Type: Predicted Year: 1838 Ex: 4.624231","Age: 84 ex_fr_female$Type: Predicted Year: 1839 Ex: 4.946824","Age: 84 ex_fr_female$Type: Predicted Year: 1840 Ex: 4.433602","Age: 84 ex_fr_female$Type: Predicted Year: 1841 Ex: 4.653941","Age: 84 ex_fr_female$Type: Predicted Year: 1842 Ex: 4.503947","Age: 84 ex_fr_female$Type: Predicted Year: 1843 Ex: 4.525212","Age: 84 ex_fr_female$Type: Predicted Year: 1844 Ex: 4.564169","Age: 84 ex_fr_female$Type: Predicted Year: 1845 Ex: 4.713893","Age: 84 ex_fr_female$Type: Predicted Year: 1846 Ex: 4.428460","Age: 84 ex_fr_female$Type: Predicted Year: 1847 Ex: 4.037565","Age: 84 ex_fr_female$Type: Predicted Year: 1848 Ex: 4.301968","Age: 84 ex_fr_female$Type: Predicted Year: 1849 Ex: 4.248953","Age: 84 ex_fr_female$Type: Predicted Year: 1850 Ex: 4.550236","Age: 84 ex_fr_female$Type: Predicted Year: 1851 Ex: 4.300829","Age: 84 ex_fr_female$Type: Predicted Year: 1852 Ex: 4.388558","Age: 84 ex_fr_female$Type: Predicted Year: 1853 Ex: 4.071943","Age: 84 ex_fr_female$Type: Predicted Year: 1854 Ex: 3.963817","Age: 84 ex_fr_female$Type: Predicted Year: 1855 Ex: 3.809216","Age: 84 ex_fr_female$Type: Predicted Year: 1856 Ex: 4.183654","Age: 84 ex_fr_female$Type: Predicted Year: 1857 Ex: 4.112785","Age: 84 ex_fr_female$Type: Predicted Year: 1858 Ex: 3.919773","Age: 84 ex_fr_female$Type: Predicted Year: 1859 Ex: 4.014838","Age: 84 ex_fr_female$Type: Predicted Year: 1860 Ex: 4.355894","Age: 84 ex_fr_female$Type: Predicted Year: 1861 Ex: 4.280884","Age: 84 ex_fr_female$Type: Predicted Year: 1862 Ex: 4.350600","Age: 84 ex_fr_female$Type: Predicted Year: 1863 Ex: 4.340592","Age: 84 ex_fr_female$Type: Predicted Year: 1864 Ex: 4.192984","Age: 84 ex_fr_female$Type: Predicted Year: 1865 Ex: 4.114097","Age: 84 ex_fr_female$Type: Predicted Year: 1866 Ex: 4.305742","Age: 84 ex_fr_female$Type: Predicted Year: 1867 Ex: 4.207518","Age: 84 ex_fr_female$Type: Predicted Year: 1868 Ex: 4.120534","Age: 84 ex_fr_female$Type: Predicted Year: 1869 Ex: 4.165423","Age: 84 ex_fr_female$Type: Predicted Year: 1870 Ex: 3.783318","Age: 84 ex_fr_female$Type: Predicted Year: 1871 Ex: 3.681285","Age: 84 ex_fr_female$Type: Predicted Year: 1872 Ex: 4.559616","Age: 84 ex_fr_female$Type: Predicted Year: 1873 Ex: 4.184356","Age: 84 ex_fr_female$Type: Predicted Year: 1874 Ex: 4.406895","Age: 84 ex_fr_female$Type: Predicted Year: 1875 Ex: 4.127176","Age: 84 ex_fr_female$Type: Predicted Year: 1876 Ex: 4.236969","Age: 84 ex_fr_female$Type: Predicted Year: 1877 Ex: 4.312582","Age: 84 ex_fr_female$Type: Predicted Year: 1878 Ex: 4.084386","Age: 84 ex_fr_female$Type: Predicted Year: 1879 Ex: 3.918955","Age: 84 ex_fr_female$Type: Predicted Year: 1880 Ex: 4.190363","Age: 84 ex_fr_female$Type: Predicted Year: 1881 Ex: 4.427035","Age: 84 ex_fr_female$Type: Predicted Year: 1882 Ex: 4.429680","Age: 84 ex_fr_female$Type: Predicted Year: 1883 Ex: 4.265205","Age: 84 ex_fr_female$Type: Predicted Year: 1884 Ex: 4.340205","Age: 84 ex_fr_female$Type: Predicted Year: 1885 Ex: 4.344588","Age: 84 ex_fr_female$Type: Predicted Year: 1886 Ex: 4.294711","Age: 84 ex_fr_female$Type: Predicted Year: 1887 Ex: 4.345996","Age: 84 ex_fr_female$Type: Predicted Year: 1888 Ex: 4.227012","Age: 84 ex_fr_female$Type: Predicted Year: 1889 Ex: 4.436269","Age: 84 ex_fr_female$Type: Predicted Year: 1890 Ex: 4.104725","Age: 84 ex_fr_female$Type: Predicted Year: 1891 Ex: 3.996556","Age: 84 ex_fr_female$Type: Predicted Year: 1892 Ex: 3.948025","Age: 84 ex_fr_female$Type: Predicted Year: 1893 Ex: 4.005806","Age: 84 ex_fr_female$Type: Predicted Year: 1894 Ex: 4.140612","Age: 84 ex_fr_female$Type: Predicted Year: 1895 Ex: 3.891100","Age: 84 ex_fr_female$Type: Predicted Year: 1896 Ex: 4.342727","Age: 84 ex_fr_female$Type: Predicted Year: 1897 Ex: 4.462006","Age: 84 ex_fr_female$Type: Predicted Year: 1898 Ex: 4.111534","Age: 84 ex_fr_female$Type: Predicted Year: 1899 Ex: 4.064274","Age: 84 ex_fr_female$Type: Predicted Year: 1900 Ex: 3.898288","Age: 84 ex_fr_female$Type: Predicted Year: 1901 Ex: 4.187660","Age: 84 ex_fr_female$Type: Predicted Year: 1902 Ex: 4.303785","Age: 84 ex_fr_female$Type: Predicted Year: 1903 Ex: 4.203382","Age: 84 ex_fr_female$Type: Predicted Year: 1904 Ex: 4.074149","Age: 84 ex_fr_female$Type: Predicted Year: 1905 Ex: 4.055853","Age: 84 ex_fr_female$Type: Predicted Year: 1906 Ex: 4.089503","Age: 84 ex_fr_female$Type: Predicted Year: 1907 Ex: 4.049713","Age: 84 ex_fr_female$Type: Predicted Year: 1908 Ex: 4.270522","Age: 84 ex_fr_female$Type: Predicted Year: 1909 Ex: 4.087550","Age: 84 ex_fr_female$Type: Predicted Year: 1910 Ex: 4.326261","Age: 84 ex_fr_female$Type: Predicted Year: 1911 Ex: 3.999072","Age: 84 ex_fr_female$Type: Predicted Year: 1912 Ex: 4.471911","Age: 84 ex_fr_female$Type: Predicted Year: 1913 Ex: 4.432075","Age: 84 ex_fr_female$Type: Predicted Year: 1914 Ex: 4.049537","Age: 84 ex_fr_female$Type: Predicted Year: 1915 Ex: 4.180196","Age: 84 ex_fr_female$Type: Predicted Year: 1916 Ex: 4.096777","Age: 84 ex_fr_female$Type: Predicted Year: 1917 Ex: 3.927122","Age: 84 ex_fr_female$Type: Predicted Year: 1918 Ex: 4.048251","Age: 84 ex_fr_female$Type: Predicted Year: 1919 Ex: 3.979113","Age: 84 ex_fr_female$Type: Predicted Year: 1920 Ex: 4.480400","Age: 84 ex_fr_female$Type: Predicted Year: 1921 Ex: 4.365047","Age: 84 ex_fr_female$Type: Predicted Year: 1922 Ex: 4.173768","Age: 84 ex_fr_female$Type: Predicted Year: 1923 Ex: 4.485688","Age: 84 ex_fr_female$Type: Predicted Year: 1924 Ex: 4.440095","Age: 84 ex_fr_female$Type: Predicted Year: 1925 Ex: 4.233415","Age: 84 ex_fr_female$Type: Predicted Year: 1926 Ex: 4.271860","Age: 84 ex_fr_female$Type: Predicted Year: 1927 Ex: 4.288577","Age: 84 ex_fr_female$Type: Predicted Year: 1928 Ex: 4.414016","Age: 84 ex_fr_female$Type: Predicted Year: 1929 Ex: 3.996940","Age: 84 ex_fr_female$Type: Predicted Year: 1930 Ex: 4.768590","Age: 84 ex_fr_female$Type: Predicted Year: 1931 Ex: 4.247950","Age: 84 ex_fr_female$Type: Predicted Year: 1932 Ex: 4.483394","Age: 84 ex_fr_female$Type: Predicted Year: 1933 Ex: 4.412978","Age: 84 ex_fr_female$Type: Predicted Year: 1934 Ex: 4.763146","Age: 84 ex_fr_female$Type: Predicted Year: 1935 Ex: 4.525088","Age: 84 ex_fr_female$Type: Predicted Year: 1936 Ex: 4.626169","Age: 84 ex_fr_female$Type: Predicted Year: 1937 Ex: 4.772318","Age: 84 ex_fr_female$Type: Predicted Year: 1938 Ex: 4.618382","Age: 84 ex_fr_female$Type: Predicted Year: 1939 Ex: 4.513246","Age: 84 ex_fr_female$Type: Predicted Year: 1940 Ex: 3.782354","Age: 84 ex_fr_female$Type: Predicted Year: 1941 Ex: 4.237797","Age: 84 ex_fr_female$Type: Predicted Year: 1942 Ex: 4.236731","Age: 84 ex_fr_female$Type: Predicted Year: 1943 Ex: 4.341132","Age: 84 ex_fr_female$Type: Predicted Year: 1944 Ex: 3.972958","Age: 84 ex_fr_female$Type: Predicted Year: 1945 Ex: 4.377745","Age: 84 ex_fr_female$Type: Predicted Year: 1946 Ex: 4.920354","Age: 84 ex_fr_female$Type: Predicted Year: 1947 Ex: 5.038941","Age: 84 ex_fr_female$Type: Predicted Year: 1948 Ex: 5.346123","Age: 84 ex_fr_female$Type: Predicted Year: 1949 Ex: 4.699366","Age: 84 ex_fr_female$Type: Predicted Year: 1950 Ex: 5.055295","Age: 84 ex_fr_female$Type: Predicted Year: 1951 Ex: 4.702683","Age: 84 ex_fr_female$Type: Predicted Year: 1952 Ex: 5.096708","Age: 84 ex_fr_female$Type: Predicted Year: 1953 Ex: 4.736522","Age: 84 ex_fr_female$Type: Predicted Year: 1954 Ex: 5.198416","Age: 84 ex_fr_female$Type: Predicted Year: 1955 Ex: 5.086513","Age: 84 ex_fr_female$Type: Predicted Year: 1956 Ex: 4.899491","Age: 84 ex_fr_female$Type: Predicted Year: 1957 Ex: 5.130577","Age: 84 ex_fr_female$Type: Predicted Year: 1958 Ex: 5.293043","Age: 84 ex_fr_female$Type: Predicted Year: 1959 Ex: 5.347477","Age: 84 ex_fr_female$Type: Predicted Year: 1960 Ex: 5.228395","Age: 84 ex_fr_female$Type: Predicted Year: 1961 Ex: 5.544911","Age: 84 ex_fr_female$Type: Predicted Year: 1962 Ex: 5.191810","Age: 84 ex_fr_female$Type: Predicted Year: 1963 Ex: 5.140987","Age: 84 ex_fr_female$Type: Predicted Year: 1964 Ex: 5.588367","Age: 84 ex_fr_female$Type: Predicted Year: 1965 Ex: 5.436758","Age: 84 ex_fr_female$Type: Predicted Year: 1966 Ex: 5.654957","Age: 84 ex_fr_female$Type: Predicted Year: 1967 Ex: 5.572810","Age: 84 ex_fr_female$Type: Predicted Year: 1968 Ex: 5.523631","Age: 84 ex_fr_female$Type: Predicted Year: 1969 Ex: 5.614993","Age: 84 ex_fr_female$Type: Predicted Year: 1970 Ex: 5.730842","Age: 84 ex_fr_female$Type: Predicted Year: 1971 Ex: 5.639664","Age: 84 ex_fr_female$Type: Predicted Year: 1972 Ex: 5.840377","Age: 84 ex_fr_female$Type: Predicted Year: 1973 Ex: 5.731075","Age: 84 ex_fr_female$Type: Predicted Year: 1974 Ex: 5.825511","Age: 84 ex_fr_female$Type: Predicted Year: 1975 Ex: 5.829305","Age: 84 ex_fr_female$Type: Predicted Year: 1976 Ex: 5.869327","Age: 84 ex_fr_female$Type: Predicted Year: 1977 Ex: 6.159812","Age: 84 ex_fr_female$Type: Predicted Year: 1978 Ex: 6.108079","Age: 84 ex_fr_female$Type: Predicted Year: 1979 Ex: 6.191133","Age: 84 ex_fr_female$Type: Predicted Year: 1980 Ex: 6.170454","Age: 84 ex_fr_female$Type: Predicted Year: 1981 Ex: 6.097951","Age: 84 ex_fr_female$Type: Predicted Year: 1982 Ex: 6.323211","Age: 84 ex_fr_female$Type: Predicted Year: 1983 Ex: 6.154815","Age: 84 ex_fr_female$Type: Predicted Year: 1984 Ex: 6.406981","Age: 84 ex_fr_female$Type: Predicted Year: 1985 Ex: 6.351129","Age: 84 ex_fr_female$Type: Predicted Year: 1986 Ex: 6.447343","Age: 84 ex_fr_female$Type: Predicted Year: 1987 Ex: 6.751232","Age: 84 ex_fr_female$Type: Predicted Year: 1988 Ex: 6.832275","Age: 84 ex_fr_female$Type: Predicted Year: 1989 Ex: 6.791695","Age: 84 ex_fr_female$Type: Predicted Year: 1990 Ex: 6.889345","Age: 84 ex_fr_female$Type: Predicted Year: 1991 Ex: 7.025280","Age: 84 ex_fr_female$Type: Predicted Year: 1992 Ex: 7.146114","Age: 84 ex_fr_female$Type: Predicted Year: 1993 Ex: 7.094907","Age: 84 ex_fr_female$Type: Predicted Year: 1994 Ex: 7.366693","Age: 84 ex_fr_female$Type: Predicted Year: 1995 Ex: 7.304778","Age: 84 ex_fr_female$Type: Predicted Year: 1996 Ex: 7.314109","Age: 84 ex_fr_female$Type: Predicted Year: 1997 Ex: 7.398571","Age: 84 ex_fr_female$Type: Predicted Year: 1998 Ex: 7.421785","Age: 84 ex_fr_female$Type: Predicted Year: 1999 Ex: 7.408066","Age: 84 ex_fr_female$Type: Predicted Year: 2000 Ex: 7.520262","Age: 84 ex_fr_female$Type: Predicted Year: 2001 Ex: 7.625352","Age: 84 ex_fr_female$Type: Predicted Year: 2002 Ex: 7.621530","Age: 84 ex_fr_female$Type: Predicted Year: 2003 Ex: 7.442730","Age: 84 ex_fr_female$Type: Predicted Year: 2004 Ex: 8.084633","Age: 84 ex_fr_female$Type: Predicted Year: 2005 Ex: 7.923671","Age: 84 ex_fr_female$Type: Predicted Year: 2006 Ex: 8.198903","Age: 84 ex_fr_female$Type: Predicted Year: 2007 Ex: 8.238106","Age: 84 ex_fr_female$Type: Predicted Year: 2008 Ex: 8.221831","Age: 84 ex_fr_female$Type: Predicted Year: 2009 Ex: 8.230346","Age: 84 ex_fr_female$Type: Predicted Year: 2010 Ex: 8.338859","Age: 84 ex_fr_female$Type: Predicted Year: 2011 Ex: 8.514655","Age: 84 ex_fr_female$Type: Predicted Year: 2012 Ex: 8.314069","Age: 84 ex_fr_female$Type: Predicted Year: 2013 Ex: 8.440074","Age: 84 ex_fr_female$Type: Predicted Year: 2014 Ex: 8.713897","Age: 84 ex_fr_female$Type: Predicted Year: 2015 Ex: 8.454048","Age: 84 ex_fr_female$Type: Predicted Year: 2016 Ex: 8.598287","Age: 84 ex_fr_female$Type: Predicted Year: 2017 Ex: 8.546928"],"frame":"84","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"85","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[4.26,4.37,4.4,4.33,4.06,4.47,4.14,4.18,4.6,4.32,3.96,4.4,4.29,3.97,4.04,3.99,3.83,4.28,4.14,4.15,4.18,3.63,4.1,4.42,3.87,4.1,3.97,3.97,4.03,4.17,3.85,3.48,3.77,3.71,4,3.73,3.81,3.49,3.39,3.22,3.57,3.51,3.32,3.42,3.75,3.68,3.73,3.73,3.59,3.49,3.7,3.61,3.53,3.57,3.2,3.09,3.95,3.58,3.79,3.52,3.64,3.7,3.48,3.31,3.61,3.84,3.84,3.65,3.74,3.73,3.66,3.71,3.61,3.82,3.49,3.38,3.32,3.37,3.5,3.26,3.73,3.84,3.54,3.46,3.33,3.56,3.67,3.57,3.46,3.42,3.44,3.42,3.66,3.47,3.7,3.36,3.83,3.78,3.42,3.54,3.47,3.32,3.43,3.33,3.83,3.71,3.54,3.83,3.79,3.59,3.64,3.64,3.76,3.35,4.12,3.6,3.81,3.75,4.08,3.86,3.97,4.09,3.96,3.85,3.13,3.59,3.58,3.68,3.33,3.7,4.23,4.37,4.67,4.01,4.37,4.02,4.39,4.05,4.5,4.39,4.2,4.42,4.59,4.63,4.52,4.84,4.49,4.43,4.88,4.71,4.92,4.85,4.8,4.89,5,4.91,5.1,4.99,5.1,5.09,5.12,5.41,5.35,5.44,5.41,5.34,5.54,5.38,5.62,5.56,5.65,5.95,6.03,5.98,6.07,6.2,6.32,6.27,6.52,6.45,6.47,6.54,6.57,6.56,6.68,6.76,6.75,6.58,7.2,7.04,7.31,7.34,7.33,7.33,7.44,7.61,7.4,7.52,7.79,7.53,7.66,7.61],"text":["Age: 85 ex_fr_female$Type: Observed Year: 1816 Ex: 4.260000","Age: 85 ex_fr_female$Type: Observed Year: 1817 Ex: 4.370000","Age: 85 ex_fr_female$Type: Observed Year: 1818 Ex: 4.400000","Age: 85 ex_fr_female$Type: Observed Year: 1819 Ex: 4.330000","Age: 85 ex_fr_female$Type: Observed Year: 1820 Ex: 4.060000","Age: 85 ex_fr_female$Type: Observed Year: 1821 Ex: 4.470000","Age: 85 ex_fr_female$Type: Observed Year: 1822 Ex: 4.140000","Age: 85 ex_fr_female$Type: Observed Year: 1823 Ex: 4.180000","Age: 85 ex_fr_female$Type: Observed Year: 1824 Ex: 4.600000","Age: 85 ex_fr_female$Type: Observed Year: 1825 Ex: 4.320000","Age: 85 ex_fr_female$Type: Observed Year: 1826 Ex: 3.960000","Age: 85 ex_fr_female$Type: Observed Year: 1827 Ex: 4.400000","Age: 85 ex_fr_female$Type: Observed Year: 1828 Ex: 4.290000","Age: 85 ex_fr_female$Type: Observed Year: 1829 Ex: 3.970000","Age: 85 ex_fr_female$Type: Observed Year: 1830 Ex: 4.040000","Age: 85 ex_fr_female$Type: Observed Year: 1831 Ex: 3.990000","Age: 85 ex_fr_female$Type: Observed Year: 1832 Ex: 3.830000","Age: 85 ex_fr_female$Type: Observed Year: 1833 Ex: 4.280000","Age: 85 ex_fr_female$Type: Observed Year: 1834 Ex: 4.140000","Age: 85 ex_fr_female$Type: Observed Year: 1835 Ex: 4.150000","Age: 85 ex_fr_female$Type: Observed Year: 1836 Ex: 4.180000","Age: 85 ex_fr_female$Type: Observed Year: 1837 Ex: 3.630000","Age: 85 ex_fr_female$Type: Observed Year: 1838 Ex: 4.100000","Age: 85 ex_fr_female$Type: Observed Year: 1839 Ex: 4.420000","Age: 85 ex_fr_female$Type: Observed Year: 1840 Ex: 3.870000","Age: 85 ex_fr_female$Type: Observed Year: 1841 Ex: 4.100000","Age: 85 ex_fr_female$Type: Observed Year: 1842 Ex: 3.970000","Age: 85 ex_fr_female$Type: Observed Year: 1843 Ex: 3.970000","Age: 85 ex_fr_female$Type: Observed Year: 1844 Ex: 4.030000","Age: 85 ex_fr_female$Type: Observed Year: 1845 Ex: 4.170000","Age: 85 ex_fr_female$Type: Observed Year: 1846 Ex: 3.850000","Age: 85 ex_fr_female$Type: Observed Year: 1847 Ex: 3.480000","Age: 85 ex_fr_female$Type: Observed Year: 1848 Ex: 3.770000","Age: 85 ex_fr_female$Type: Observed Year: 1849 Ex: 3.710000","Age: 85 ex_fr_female$Type: Observed Year: 1850 Ex: 4.000000","Age: 85 ex_fr_female$Type: Observed Year: 1851 Ex: 3.730000","Age: 85 ex_fr_female$Type: Observed Year: 1852 Ex: 3.810000","Age: 85 ex_fr_female$Type: Observed Year: 1853 Ex: 3.490000","Age: 85 ex_fr_female$Type: Observed Year: 1854 Ex: 3.390000","Age: 85 ex_fr_female$Type: Observed Year: 1855 Ex: 3.220000","Age: 85 ex_fr_female$Type: Observed Year: 1856 Ex: 3.570000","Age: 85 ex_fr_female$Type: Observed Year: 1857 Ex: 3.510000","Age: 85 ex_fr_female$Type: Observed Year: 1858 Ex: 3.320000","Age: 85 ex_fr_female$Type: Observed Year: 1859 Ex: 3.420000","Age: 85 ex_fr_female$Type: Observed Year: 1860 Ex: 3.750000","Age: 85 ex_fr_female$Type: Observed Year: 1861 Ex: 3.680000","Age: 85 ex_fr_female$Type: Observed Year: 1862 Ex: 3.730000","Age: 85 ex_fr_female$Type: Observed Year: 1863 Ex: 3.730000","Age: 85 ex_fr_female$Type: Observed Year: 1864 Ex: 3.590000","Age: 85 ex_fr_female$Type: Observed Year: 1865 Ex: 3.490000","Age: 85 ex_fr_female$Type: Observed Year: 1866 Ex: 3.700000","Age: 85 ex_fr_female$Type: Observed Year: 1867 Ex: 3.610000","Age: 85 ex_fr_female$Type: Observed Year: 1868 Ex: 3.530000","Age: 85 ex_fr_female$Type: Observed Year: 1869 Ex: 3.570000","Age: 85 ex_fr_female$Type: Observed Year: 1870 Ex: 3.200000","Age: 85 ex_fr_female$Type: Observed Year: 1871 Ex: 3.090000","Age: 85 ex_fr_female$Type: Observed Year: 1872 Ex: 3.950000","Age: 85 ex_fr_female$Type: Observed Year: 1873 Ex: 3.580000","Age: 85 ex_fr_female$Type: Observed Year: 1874 Ex: 3.790000","Age: 85 ex_fr_female$Type: Observed Year: 1875 Ex: 3.520000","Age: 85 ex_fr_female$Type: Observed Year: 1876 Ex: 3.640000","Age: 85 ex_fr_female$Type: Observed Year: 1877 Ex: 3.700000","Age: 85 ex_fr_female$Type: Observed Year: 1878 Ex: 3.480000","Age: 85 ex_fr_female$Type: Observed Year: 1879 Ex: 3.310000","Age: 85 ex_fr_female$Type: Observed Year: 1880 Ex: 3.610000","Age: 85 ex_fr_female$Type: Observed Year: 1881 Ex: 3.840000","Age: 85 ex_fr_female$Type: Observed Year: 1882 Ex: 3.840000","Age: 85 ex_fr_female$Type: Observed Year: 1883 Ex: 3.650000","Age: 85 ex_fr_female$Type: Observed Year: 1884 Ex: 3.740000","Age: 85 ex_fr_female$Type: Observed Year: 1885 Ex: 3.730000","Age: 85 ex_fr_female$Type: Observed Year: 1886 Ex: 3.660000","Age: 85 ex_fr_female$Type: Observed Year: 1887 Ex: 3.710000","Age: 85 ex_fr_female$Type: Observed Year: 1888 Ex: 3.610000","Age: 85 ex_fr_female$Type: Observed Year: 1889 Ex: 3.820000","Age: 85 ex_fr_female$Type: Observed Year: 1890 Ex: 3.490000","Age: 85 ex_fr_female$Type: Observed Year: 1891 Ex: 3.380000","Age: 85 ex_fr_female$Type: Observed Year: 1892 Ex: 3.320000","Age: 85 ex_fr_female$Type: Observed Year: 1893 Ex: 3.370000","Age: 85 ex_fr_female$Type: Observed Year: 1894 Ex: 3.500000","Age: 85 ex_fr_female$Type: Observed Year: 1895 Ex: 3.260000","Age: 85 ex_fr_female$Type: Observed Year: 1896 Ex: 3.730000","Age: 85 ex_fr_female$Type: Observed Year: 1897 Ex: 3.840000","Age: 85 ex_fr_female$Type: Observed Year: 1898 Ex: 3.540000","Age: 85 ex_fr_female$Type: Observed Year: 1899 Ex: 3.460000","Age: 85 ex_fr_female$Type: Observed Year: 1900 Ex: 3.330000","Age: 85 ex_fr_female$Type: Observed Year: 1901 Ex: 3.560000","Age: 85 ex_fr_female$Type: Observed Year: 1902 Ex: 3.670000","Age: 85 ex_fr_female$Type: Observed Year: 1903 Ex: 3.570000","Age: 85 ex_fr_female$Type: Observed Year: 1904 Ex: 3.460000","Age: 85 ex_fr_female$Type: Observed Year: 1905 Ex: 3.420000","Age: 85 ex_fr_female$Type: Observed Year: 1906 Ex: 3.440000","Age: 85 ex_fr_female$Type: Observed Year: 1907 Ex: 3.420000","Age: 85 ex_fr_female$Type: Observed Year: 1908 Ex: 3.660000","Age: 85 ex_fr_female$Type: Observed Year: 1909 Ex: 3.470000","Age: 85 ex_fr_female$Type: Observed Year: 1910 Ex: 3.700000","Age: 85 ex_fr_female$Type: Observed Year: 1911 Ex: 3.360000","Age: 85 ex_fr_female$Type: Observed Year: 1912 Ex: 3.830000","Age: 85 ex_fr_female$Type: Observed Year: 1913 Ex: 3.780000","Age: 85 ex_fr_female$Type: Observed Year: 1914 Ex: 3.420000","Age: 85 ex_fr_female$Type: Observed Year: 1915 Ex: 3.540000","Age: 85 ex_fr_female$Type: Observed Year: 1916 Ex: 3.470000","Age: 85 ex_fr_female$Type: Observed Year: 1917 Ex: 3.320000","Age: 85 ex_fr_female$Type: Observed Year: 1918 Ex: 3.430000","Age: 85 ex_fr_female$Type: Observed Year: 1919 Ex: 3.330000","Age: 85 ex_fr_female$Type: Observed Year: 1920 Ex: 3.830000","Age: 85 ex_fr_female$Type: Observed Year: 1921 Ex: 3.710000","Age: 85 ex_fr_female$Type: Observed Year: 1922 Ex: 3.540000","Age: 85 ex_fr_female$Type: Observed Year: 1923 Ex: 3.830000","Age: 85 ex_fr_female$Type: Observed Year: 1924 Ex: 3.790000","Age: 85 ex_fr_female$Type: Observed Year: 1925 Ex: 3.590000","Age: 85 ex_fr_female$Type: Observed Year: 1926 Ex: 3.640000","Age: 85 ex_fr_female$Type: Observed Year: 1927 Ex: 3.640000","Age: 85 ex_fr_female$Type: Observed Year: 1928 Ex: 3.760000","Age: 85 ex_fr_female$Type: Observed Year: 1929 Ex: 3.350000","Age: 85 ex_fr_female$Type: Observed Year: 1930 Ex: 4.120000","Age: 85 ex_fr_female$Type: Observed Year: 1931 Ex: 3.600000","Age: 85 ex_fr_female$Type: Observed Year: 1932 Ex: 3.810000","Age: 85 ex_fr_female$Type: Observed Year: 1933 Ex: 3.750000","Age: 85 ex_fr_female$Type: Observed Year: 1934 Ex: 4.080000","Age: 85 ex_fr_female$Type: Observed Year: 1935 Ex: 3.860000","Age: 85 ex_fr_female$Type: Observed Year: 1936 Ex: 3.970000","Age: 85 ex_fr_female$Type: Observed Year: 1937 Ex: 4.090000","Age: 85 ex_fr_female$Type: Observed Year: 1938 Ex: 3.960000","Age: 85 ex_fr_female$Type: Observed Year: 1939 Ex: 3.850000","Age: 85 ex_fr_female$Type: Observed Year: 1940 Ex: 3.130000","Age: 85 ex_fr_female$Type: Observed Year: 1941 Ex: 3.590000","Age: 85 ex_fr_female$Type: Observed Year: 1942 Ex: 3.580000","Age: 85 ex_fr_female$Type: Observed Year: 1943 Ex: 3.680000","Age: 85 ex_fr_female$Type: Observed Year: 1944 Ex: 3.330000","Age: 85 ex_fr_female$Type: Observed Year: 1945 Ex: 3.700000","Age: 85 ex_fr_female$Type: Observed Year: 1946 Ex: 4.230000","Age: 85 ex_fr_female$Type: Observed Year: 1947 Ex: 4.370000","Age: 85 ex_fr_female$Type: Observed Year: 1948 Ex: 4.670000","Age: 85 ex_fr_female$Type: Observed Year: 1949 Ex: 4.010000","Age: 85 ex_fr_female$Type: Observed Year: 1950 Ex: 4.370000","Age: 85 ex_fr_female$Type: Observed Year: 1951 Ex: 4.020000","Age: 85 ex_fr_female$Type: Observed Year: 1952 Ex: 4.390000","Age: 85 ex_fr_female$Type: Observed Year: 1953 Ex: 4.050000","Age: 85 ex_fr_female$Type: Observed Year: 1954 Ex: 4.500000","Age: 85 ex_fr_female$Type: Observed Year: 1955 Ex: 4.390000","Age: 85 ex_fr_female$Type: Observed Year: 1956 Ex: 4.200000","Age: 85 ex_fr_female$Type: Observed Year: 1957 Ex: 4.420000","Age: 85 ex_fr_female$Type: Observed Year: 1958 Ex: 4.590000","Age: 85 ex_fr_female$Type: Observed Year: 1959 Ex: 4.630000","Age: 85 ex_fr_female$Type: Observed Year: 1960 Ex: 4.520000","Age: 85 ex_fr_female$Type: Observed Year: 1961 Ex: 4.840000","Age: 85 ex_fr_female$Type: Observed Year: 1962 Ex: 4.490000","Age: 85 ex_fr_female$Type: Observed Year: 1963 Ex: 4.430000","Age: 85 ex_fr_female$Type: Observed Year: 1964 Ex: 4.880000","Age: 85 ex_fr_female$Type: Observed Year: 1965 Ex: 4.710000","Age: 85 ex_fr_female$Type: Observed Year: 1966 Ex: 4.920000","Age: 85 ex_fr_female$Type: Observed Year: 1967 Ex: 4.850000","Age: 85 ex_fr_female$Type: Observed Year: 1968 Ex: 4.800000","Age: 85 ex_fr_female$Type: Observed Year: 1969 Ex: 4.890000","Age: 85 ex_fr_female$Type: Observed Year: 1970 Ex: 5.000000","Age: 85 ex_fr_female$Type: Observed Year: 1971 Ex: 4.910000","Age: 85 ex_fr_female$Type: Observed Year: 1972 Ex: 5.100000","Age: 85 ex_fr_female$Type: Observed Year: 1973 Ex: 4.990000","Age: 85 ex_fr_female$Type: Observed Year: 1974 Ex: 5.100000","Age: 85 ex_fr_female$Type: Observed Year: 1975 Ex: 5.090000","Age: 85 ex_fr_female$Type: Observed Year: 1976 Ex: 5.120000","Age: 85 ex_fr_female$Type: Observed Year: 1977 Ex: 5.410000","Age: 85 ex_fr_female$Type: Observed Year: 1978 Ex: 5.350000","Age: 85 ex_fr_female$Type: Observed Year: 1979 Ex: 5.440000","Age: 85 ex_fr_female$Type: Observed Year: 1980 Ex: 5.410000","Age: 85 ex_fr_female$Type: Observed Year: 1981 Ex: 5.340000","Age: 85 ex_fr_female$Type: Observed Year: 1982 Ex: 5.540000","Age: 85 ex_fr_female$Type: Observed Year: 1983 Ex: 5.380000","Age: 85 ex_fr_female$Type: Observed Year: 1984 Ex: 5.620000","Age: 85 ex_fr_female$Type: Observed Year: 1985 Ex: 5.560000","Age: 85 ex_fr_female$Type: Observed Year: 1986 Ex: 5.650000","Age: 85 ex_fr_female$Type: Observed Year: 1987 Ex: 5.950000","Age: 85 ex_fr_female$Type: Observed Year: 1988 Ex: 6.030000","Age: 85 ex_fr_female$Type: Observed Year: 1989 Ex: 5.980000","Age: 85 ex_fr_female$Type: Observed Year: 1990 Ex: 6.070000","Age: 85 ex_fr_female$Type: Observed Year: 1991 Ex: 6.200000","Age: 85 ex_fr_female$Type: Observed Year: 1992 Ex: 6.320000","Age: 85 ex_fr_female$Type: Observed Year: 1993 Ex: 6.270000","Age: 85 ex_fr_female$Type: Observed Year: 1994 Ex: 6.520000","Age: 85 ex_fr_female$Type: Observed Year: 1995 Ex: 6.450000","Age: 85 ex_fr_female$Type: Observed Year: 1996 Ex: 6.470000","Age: 85 ex_fr_female$Type: Observed Year: 1997 Ex: 6.540000","Age: 85 ex_fr_female$Type: Observed Year: 1998 Ex: 6.570000","Age: 85 ex_fr_female$Type: Observed Year: 1999 Ex: 6.560000","Age: 85 ex_fr_female$Type: Observed Year: 2000 Ex: 6.680000","Age: 85 ex_fr_female$Type: Observed Year: 2001 Ex: 6.760000","Age: 85 ex_fr_female$Type: Observed Year: 2002 Ex: 6.750000","Age: 85 ex_fr_female$Type: Observed Year: 2003 Ex: 6.580000","Age: 85 ex_fr_female$Type: Observed Year: 2004 Ex: 7.200000","Age: 85 ex_fr_female$Type: Observed Year: 2005 Ex: 7.040000","Age: 85 ex_fr_female$Type: Observed Year: 2006 Ex: 7.310000","Age: 85 ex_fr_female$Type: Observed Year: 2007 Ex: 7.340000","Age: 85 ex_fr_female$Type: Observed Year: 2008 Ex: 7.330000","Age: 85 ex_fr_female$Type: Observed Year: 2009 Ex: 7.330000","Age: 85 ex_fr_female$Type: Observed Year: 2010 Ex: 7.440000","Age: 85 ex_fr_female$Type: Observed Year: 2011 Ex: 7.610000","Age: 85 ex_fr_female$Type: Observed Year: 2012 Ex: 7.400000","Age: 85 ex_fr_female$Type: Observed Year: 2013 Ex: 7.520000","Age: 85 ex_fr_female$Type: Observed Year: 2014 Ex: 7.790000","Age: 85 ex_fr_female$Type: Observed Year: 2015 Ex: 7.530000","Age: 85 ex_fr_female$Type: Observed Year: 2016 Ex: 7.660000","Age: 85 ex_fr_female$Type: Observed Year: 2017 Ex: 7.610000"],"frame":"85","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[4.70633008324387,4.80178202555045,4.82589658804206,4.76792569963713,4.50369057799608,4.91452886265912,4.58799863930903,4.61262793677949,5.03115199283494,4.75366598352703,4.4003754764006,4.83469137018754,4.73470951752536,4.41611238107322,4.49236346234623,4.42746704453879,4.27912954074995,4.71640735668872,4.58036376804576,4.58680626365906,4.62011801752803,4.08335096782008,4.54556654845648,4.85010028181812,4.31483197628031,4.53899058695121,4.40653394942998,4.41260306222478,4.46827119513389,4.60547664974592,4.28934290068582,3.93149455855116,4.20874191808874,4.14975647919996,4.43346885237042,4.16196056903435,4.24913138017326,3.92967648944703,3.82853418995653,3.65683667404387,4.00206180363642,3.9458457457645,3.76666515753341,3.86097597771939,4.17800746745585,4.11375881920976,4.15844921624615,4.16301829312873,4.02963581565175,3.92584989548089,4.13093345392771,4.04305340955092,3.96665657347179,4.0045162046005,3.64638959730381,3.52981537431238,4.37356299490543,4.01398730088798,4.21084430402184,3.95071711220267,4.0603078763597,4.12462045571096,3.91442242764433,3.73793661577892,4.03736702676618,4.26763625631412,4.25930400399365,4.06807521958354,4.1593501652584,4.14287657898903,4.08560331551016,4.13091530740255,4.03284386516185,4.23755738299733,3.91602418552495,3.79174088183127,3.74472412327902,3.79102498501432,3.91597882133647,3.68398377770251,4.14292391554627,4.26012400969041,3.96118830849365,3.87848581493598,3.75081980876432,3.97991526126684,4.08512785106028,4.00069506721444,3.88910914788724,3.83376955273323,3.85670957099375,3.84226485026722,4.07207865395353,3.88828367165269,4.11561937315579,3.78001447535365,4.24535023940891,4.19539037267529,3.83473099966617,3.95998432820418,3.89157840159502,3.73746015362836,3.84481961167016,3.74748430632609,4.24213984847516,4.12293888300389,3.95138531671347,4.24093356498632,4.20036889489712,3.99803389106411,4.05275053123999,4.05290672052575,4.16831748216958,3.76929160059627,4.52555106709111,4.01755108245024,4.2133077505496,4.15575863593141,4.4849607471922,4.2638417321102,4.37679103668921,4.49211803716433,4.36146429326587,4.25059144375342,3.54383805920862,4.00127070582971,3.98702495670864,4.09285349570689,3.7438688692128,4.11100340967117,4.62839372857174,4.76671666745725,5.0600933816489,4.41512743101795,4.76262683025851,4.41683206673033,4.78756936437912,4.4448660409595,4.88965061201959,4.78226165142726,4.59547194772816,4.81268425566201,4.97417007543926,5.01835402242225,4.9068477990819,5.22152739367557,4.87904513455551,4.82029669572928,5.25767675961203,5.09757626891783,5.30633127259995,5.22873410547289,5.17974819906817,5.27080847206981,5.37380136942989,5.28312539717226,5.48033671738827,5.36811296711413,5.47189143964139,5.4648852206549,5.49637300923159,5.77983840660808,5.72106580050026,5.80535262335025,5.77576876040877,5.70410465695609,5.90971892526695,5.75062276545397,5.98799540390539,5.92368825097935,6.01408941287129,6.31135543414202,6.380609308788,6.33829678015949,6.42407819585382,6.55363522782528,6.67275114729117,6.61406547741832,6.87003287004729,6.80006993308581,6.8102990806051,6.88536779044688,6.91400381897687,6.89901384472776,7.01699987585533,7.10200333750637,7.09108312235237,6.91955792132428,7.5363131711501,7.37868607317248,7.64629192370279,7.67344611239029,7.66123593755427,7.66557604630118,7.77274408096764,7.93325405645563,7.73116460635487,7.84208090005298,8.10984333968018,7.85049282953289,7.98874624820073,7.92875228172282],"text":["Age: 85 ex_fr_female$Type: Predicted Year: 1816 Ex: 4.706330","Age: 85 ex_fr_female$Type: Predicted Year: 1817 Ex: 4.801782","Age: 85 ex_fr_female$Type: Predicted Year: 1818 Ex: 4.825897","Age: 85 ex_fr_female$Type: Predicted Year: 1819 Ex: 4.767926","Age: 85 ex_fr_female$Type: Predicted Year: 1820 Ex: 4.503691","Age: 85 ex_fr_female$Type: Predicted Year: 1821 Ex: 4.914529","Age: 85 ex_fr_female$Type: Predicted Year: 1822 Ex: 4.587999","Age: 85 ex_fr_female$Type: Predicted Year: 1823 Ex: 4.612628","Age: 85 ex_fr_female$Type: Predicted Year: 1824 Ex: 5.031152","Age: 85 ex_fr_female$Type: Predicted Year: 1825 Ex: 4.753666","Age: 85 ex_fr_female$Type: Predicted Year: 1826 Ex: 4.400375","Age: 85 ex_fr_female$Type: Predicted Year: 1827 Ex: 4.834691","Age: 85 ex_fr_female$Type: Predicted Year: 1828 Ex: 4.734710","Age: 85 ex_fr_female$Type: Predicted Year: 1829 Ex: 4.416112","Age: 85 ex_fr_female$Type: Predicted Year: 1830 Ex: 4.492363","Age: 85 ex_fr_female$Type: Predicted Year: 1831 Ex: 4.427467","Age: 85 ex_fr_female$Type: Predicted Year: 1832 Ex: 4.279130","Age: 85 ex_fr_female$Type: Predicted Year: 1833 Ex: 4.716407","Age: 85 ex_fr_female$Type: Predicted Year: 1834 Ex: 4.580364","Age: 85 ex_fr_female$Type: Predicted Year: 1835 Ex: 4.586806","Age: 85 ex_fr_female$Type: Predicted Year: 1836 Ex: 4.620118","Age: 85 ex_fr_female$Type: Predicted Year: 1837 Ex: 4.083351","Age: 85 ex_fr_female$Type: Predicted Year: 1838 Ex: 4.545567","Age: 85 ex_fr_female$Type: Predicted Year: 1839 Ex: 4.850100","Age: 85 ex_fr_female$Type: Predicted Year: 1840 Ex: 4.314832","Age: 85 ex_fr_female$Type: Predicted Year: 1841 Ex: 4.538991","Age: 85 ex_fr_female$Type: Predicted Year: 1842 Ex: 4.406534","Age: 85 ex_fr_female$Type: Predicted Year: 1843 Ex: 4.412603","Age: 85 ex_fr_female$Type: Predicted Year: 1844 Ex: 4.468271","Age: 85 ex_fr_female$Type: Predicted Year: 1845 Ex: 4.605477","Age: 85 ex_fr_female$Type: Predicted Year: 1846 Ex: 4.289343","Age: 85 ex_fr_female$Type: Predicted Year: 1847 Ex: 3.931495","Age: 85 ex_fr_female$Type: Predicted Year: 1848 Ex: 4.208742","Age: 85 ex_fr_female$Type: Predicted Year: 1849 Ex: 4.149756","Age: 85 ex_fr_female$Type: Predicted Year: 1850 Ex: 4.433469","Age: 85 ex_fr_female$Type: Predicted Year: 1851 Ex: 4.161961","Age: 85 ex_fr_female$Type: Predicted Year: 1852 Ex: 4.249131","Age: 85 ex_fr_female$Type: Predicted Year: 1853 Ex: 3.929676","Age: 85 ex_fr_female$Type: Predicted Year: 1854 Ex: 3.828534","Age: 85 ex_fr_female$Type: Predicted Year: 1855 Ex: 3.656837","Age: 85 ex_fr_female$Type: Predicted Year: 1856 Ex: 4.002062","Age: 85 ex_fr_female$Type: Predicted Year: 1857 Ex: 3.945846","Age: 85 ex_fr_female$Type: Predicted Year: 1858 Ex: 3.766665","Age: 85 ex_fr_female$Type: Predicted Year: 1859 Ex: 3.860976","Age: 85 ex_fr_female$Type: Predicted Year: 1860 Ex: 4.178007","Age: 85 ex_fr_female$Type: Predicted Year: 1861 Ex: 4.113759","Age: 85 ex_fr_female$Type: Predicted Year: 1862 Ex: 4.158449","Age: 85 ex_fr_female$Type: Predicted Year: 1863 Ex: 4.163018","Age: 85 ex_fr_female$Type: Predicted Year: 1864 Ex: 4.029636","Age: 85 ex_fr_female$Type: Predicted Year: 1865 Ex: 3.925850","Age: 85 ex_fr_female$Type: Predicted Year: 1866 Ex: 4.130933","Age: 85 ex_fr_female$Type: Predicted Year: 1867 Ex: 4.043053","Age: 85 ex_fr_female$Type: Predicted Year: 1868 Ex: 3.966657","Age: 85 ex_fr_female$Type: Predicted Year: 1869 Ex: 4.004516","Age: 85 ex_fr_female$Type: Predicted Year: 1870 Ex: 3.646390","Age: 85 ex_fr_female$Type: Predicted Year: 1871 Ex: 3.529815","Age: 85 ex_fr_female$Type: Predicted Year: 1872 Ex: 4.373563","Age: 85 ex_fr_female$Type: Predicted Year: 1873 Ex: 4.013987","Age: 85 ex_fr_female$Type: Predicted Year: 1874 Ex: 4.210844","Age: 85 ex_fr_female$Type: Predicted Year: 1875 Ex: 3.950717","Age: 85 ex_fr_female$Type: Predicted Year: 1876 Ex: 4.060308","Age: 85 ex_fr_female$Type: Predicted Year: 1877 Ex: 4.124620","Age: 85 ex_fr_female$Type: Predicted Year: 1878 Ex: 3.914422","Age: 85 ex_fr_female$Type: Predicted Year: 1879 Ex: 3.737937","Age: 85 ex_fr_female$Type: Predicted Year: 1880 Ex: 4.037367","Age: 85 ex_fr_female$Type: Predicted Year: 1881 Ex: 4.267636","Age: 85 ex_fr_female$Type: Predicted Year: 1882 Ex: 4.259304","Age: 85 ex_fr_female$Type: Predicted Year: 1883 Ex: 4.068075","Age: 85 ex_fr_female$Type: Predicted Year: 1884 Ex: 4.159350","Age: 85 ex_fr_female$Type: Predicted Year: 1885 Ex: 4.142877","Age: 85 ex_fr_female$Type: Predicted Year: 1886 Ex: 4.085603","Age: 85 ex_fr_female$Type: Predicted Year: 1887 Ex: 4.130915","Age: 85 ex_fr_female$Type: Predicted Year: 1888 Ex: 4.032844","Age: 85 ex_fr_female$Type: Predicted Year: 1889 Ex: 4.237557","Age: 85 ex_fr_female$Type: Predicted Year: 1890 Ex: 3.916024","Age: 85 ex_fr_female$Type: Predicted Year: 1891 Ex: 3.791741","Age: 85 ex_fr_female$Type: Predicted Year: 1892 Ex: 3.744724","Age: 85 ex_fr_female$Type: Predicted Year: 1893 Ex: 3.791025","Age: 85 ex_fr_female$Type: Predicted Year: 1894 Ex: 3.915979","Age: 85 ex_fr_female$Type: Predicted Year: 1895 Ex: 3.683984","Age: 85 ex_fr_female$Type: Predicted Year: 1896 Ex: 4.142924","Age: 85 ex_fr_female$Type: Predicted Year: 1897 Ex: 4.260124","Age: 85 ex_fr_female$Type: Predicted Year: 1898 Ex: 3.961188","Age: 85 ex_fr_female$Type: Predicted Year: 1899 Ex: 3.878486","Age: 85 ex_fr_female$Type: Predicted Year: 1900 Ex: 3.750820","Age: 85 ex_fr_female$Type: Predicted Year: 1901 Ex: 3.979915","Age: 85 ex_fr_female$Type: Predicted Year: 1902 Ex: 4.085128","Age: 85 ex_fr_female$Type: Predicted Year: 1903 Ex: 4.000695","Age: 85 ex_fr_female$Type: Predicted Year: 1904 Ex: 3.889109","Age: 85 ex_fr_female$Type: Predicted Year: 1905 Ex: 3.833770","Age: 85 ex_fr_female$Type: Predicted Year: 1906 Ex: 3.856710","Age: 85 ex_fr_female$Type: Predicted Year: 1907 Ex: 3.842265","Age: 85 ex_fr_female$Type: Predicted Year: 1908 Ex: 4.072079","Age: 85 ex_fr_female$Type: Predicted Year: 1909 Ex: 3.888284","Age: 85 ex_fr_female$Type: Predicted Year: 1910 Ex: 4.115619","Age: 85 ex_fr_female$Type: Predicted Year: 1911 Ex: 3.780014","Age: 85 ex_fr_female$Type: Predicted Year: 1912 Ex: 4.245350","Age: 85 ex_fr_female$Type: Predicted Year: 1913 Ex: 4.195390","Age: 85 ex_fr_female$Type: Predicted Year: 1914 Ex: 3.834731","Age: 85 ex_fr_female$Type: Predicted Year: 1915 Ex: 3.959984","Age: 85 ex_fr_female$Type: Predicted Year: 1916 Ex: 3.891578","Age: 85 ex_fr_female$Type: Predicted Year: 1917 Ex: 3.737460","Age: 85 ex_fr_female$Type: Predicted Year: 1918 Ex: 3.844820","Age: 85 ex_fr_female$Type: Predicted Year: 1919 Ex: 3.747484","Age: 85 ex_fr_female$Type: Predicted Year: 1920 Ex: 4.242140","Age: 85 ex_fr_female$Type: Predicted Year: 1921 Ex: 4.122939","Age: 85 ex_fr_female$Type: Predicted Year: 1922 Ex: 3.951385","Age: 85 ex_fr_female$Type: Predicted Year: 1923 Ex: 4.240934","Age: 85 ex_fr_female$Type: Predicted Year: 1924 Ex: 4.200369","Age: 85 ex_fr_female$Type: Predicted Year: 1925 Ex: 3.998034","Age: 85 ex_fr_female$Type: Predicted Year: 1926 Ex: 4.052751","Age: 85 ex_fr_female$Type: Predicted Year: 1927 Ex: 4.052907","Age: 85 ex_fr_female$Type: Predicted Year: 1928 Ex: 4.168317","Age: 85 ex_fr_female$Type: Predicted Year: 1929 Ex: 3.769292","Age: 85 ex_fr_female$Type: Predicted Year: 1930 Ex: 4.525551","Age: 85 ex_fr_female$Type: Predicted Year: 1931 Ex: 4.017551","Age: 85 ex_fr_female$Type: Predicted Year: 1932 Ex: 4.213308","Age: 85 ex_fr_female$Type: Predicted Year: 1933 Ex: 4.155759","Age: 85 ex_fr_female$Type: Predicted Year: 1934 Ex: 4.484961","Age: 85 ex_fr_female$Type: Predicted Year: 1935 Ex: 4.263842","Age: 85 ex_fr_female$Type: Predicted Year: 1936 Ex: 4.376791","Age: 85 ex_fr_female$Type: Predicted Year: 1937 Ex: 4.492118","Age: 85 ex_fr_female$Type: Predicted Year: 1938 Ex: 4.361464","Age: 85 ex_fr_female$Type: Predicted Year: 1939 Ex: 4.250591","Age: 85 ex_fr_female$Type: Predicted Year: 1940 Ex: 3.543838","Age: 85 ex_fr_female$Type: Predicted Year: 1941 Ex: 4.001271","Age: 85 ex_fr_female$Type: Predicted Year: 1942 Ex: 3.987025","Age: 85 ex_fr_female$Type: Predicted Year: 1943 Ex: 4.092853","Age: 85 ex_fr_female$Type: Predicted Year: 1944 Ex: 3.743869","Age: 85 ex_fr_female$Type: Predicted Year: 1945 Ex: 4.111003","Age: 85 ex_fr_female$Type: Predicted Year: 1946 Ex: 4.628394","Age: 85 ex_fr_female$Type: Predicted Year: 1947 Ex: 4.766717","Age: 85 ex_fr_female$Type: Predicted Year: 1948 Ex: 5.060093","Age: 85 ex_fr_female$Type: Predicted Year: 1949 Ex: 4.415127","Age: 85 ex_fr_female$Type: Predicted Year: 1950 Ex: 4.762627","Age: 85 ex_fr_female$Type: Predicted Year: 1951 Ex: 4.416832","Age: 85 ex_fr_female$Type: Predicted Year: 1952 Ex: 4.787569","Age: 85 ex_fr_female$Type: Predicted Year: 1953 Ex: 4.444866","Age: 85 ex_fr_female$Type: Predicted Year: 1954 Ex: 4.889651","Age: 85 ex_fr_female$Type: Predicted Year: 1955 Ex: 4.782262","Age: 85 ex_fr_female$Type: Predicted Year: 1956 Ex: 4.595472","Age: 85 ex_fr_female$Type: Predicted Year: 1957 Ex: 4.812684","Age: 85 ex_fr_female$Type: Predicted Year: 1958 Ex: 4.974170","Age: 85 ex_fr_female$Type: Predicted Year: 1959 Ex: 5.018354","Age: 85 ex_fr_female$Type: Predicted Year: 1960 Ex: 4.906848","Age: 85 ex_fr_female$Type: Predicted Year: 1961 Ex: 5.221527","Age: 85 ex_fr_female$Type: Predicted Year: 1962 Ex: 4.879045","Age: 85 ex_fr_female$Type: Predicted Year: 1963 Ex: 4.820297","Age: 85 ex_fr_female$Type: Predicted Year: 1964 Ex: 5.257677","Age: 85 ex_fr_female$Type: Predicted Year: 1965 Ex: 5.097576","Age: 85 ex_fr_female$Type: Predicted Year: 1966 Ex: 5.306331","Age: 85 ex_fr_female$Type: Predicted Year: 1967 Ex: 5.228734","Age: 85 ex_fr_female$Type: Predicted Year: 1968 Ex: 5.179748","Age: 85 ex_fr_female$Type: Predicted Year: 1969 Ex: 5.270808","Age: 85 ex_fr_female$Type: Predicted Year: 1970 Ex: 5.373801","Age: 85 ex_fr_female$Type: Predicted Year: 1971 Ex: 5.283125","Age: 85 ex_fr_female$Type: Predicted Year: 1972 Ex: 5.480337","Age: 85 ex_fr_female$Type: Predicted Year: 1973 Ex: 5.368113","Age: 85 ex_fr_female$Type: Predicted Year: 1974 Ex: 5.471891","Age: 85 ex_fr_female$Type: Predicted Year: 1975 Ex: 5.464885","Age: 85 ex_fr_female$Type: Predicted Year: 1976 Ex: 5.496373","Age: 85 ex_fr_female$Type: Predicted Year: 1977 Ex: 5.779838","Age: 85 ex_fr_female$Type: Predicted Year: 1978 Ex: 5.721066","Age: 85 ex_fr_female$Type: Predicted Year: 1979 Ex: 5.805353","Age: 85 ex_fr_female$Type: Predicted Year: 1980 Ex: 5.775769","Age: 85 ex_fr_female$Type: Predicted Year: 1981 Ex: 5.704105","Age: 85 ex_fr_female$Type: Predicted Year: 1982 Ex: 5.909719","Age: 85 ex_fr_female$Type: Predicted Year: 1983 Ex: 5.750623","Age: 85 ex_fr_female$Type: Predicted Year: 1984 Ex: 5.987995","Age: 85 ex_fr_female$Type: Predicted Year: 1985 Ex: 5.923688","Age: 85 ex_fr_female$Type: Predicted Year: 1986 Ex: 6.014089","Age: 85 ex_fr_female$Type: Predicted Year: 1987 Ex: 6.311355","Age: 85 ex_fr_female$Type: Predicted Year: 1988 Ex: 6.380609","Age: 85 ex_fr_female$Type: Predicted Year: 1989 Ex: 6.338297","Age: 85 ex_fr_female$Type: Predicted Year: 1990 Ex: 6.424078","Age: 85 ex_fr_female$Type: Predicted Year: 1991 Ex: 6.553635","Age: 85 ex_fr_female$Type: Predicted Year: 1992 Ex: 6.672751","Age: 85 ex_fr_female$Type: Predicted Year: 1993 Ex: 6.614065","Age: 85 ex_fr_female$Type: Predicted Year: 1994 Ex: 6.870033","Age: 85 ex_fr_female$Type: Predicted Year: 1995 Ex: 6.800070","Age: 85 ex_fr_female$Type: Predicted Year: 1996 Ex: 6.810299","Age: 85 ex_fr_female$Type: Predicted Year: 1997 Ex: 6.885368","Age: 85 ex_fr_female$Type: Predicted Year: 1998 Ex: 6.914004","Age: 85 ex_fr_female$Type: Predicted Year: 1999 Ex: 6.899014","Age: 85 ex_fr_female$Type: Predicted Year: 2000 Ex: 7.017000","Age: 85 ex_fr_female$Type: Predicted Year: 2001 Ex: 7.102003","Age: 85 ex_fr_female$Type: Predicted Year: 2002 Ex: 7.091083","Age: 85 ex_fr_female$Type: Predicted Year: 2003 Ex: 6.919558","Age: 85 ex_fr_female$Type: Predicted Year: 2004 Ex: 7.536313","Age: 85 ex_fr_female$Type: Predicted Year: 2005 Ex: 7.378686","Age: 85 ex_fr_female$Type: Predicted Year: 2006 Ex: 7.646292","Age: 85 ex_fr_female$Type: Predicted Year: 2007 Ex: 7.673446","Age: 85 ex_fr_female$Type: Predicted Year: 2008 Ex: 7.661236","Age: 85 ex_fr_female$Type: Predicted Year: 2009 Ex: 7.665576","Age: 85 ex_fr_female$Type: Predicted Year: 2010 Ex: 7.772744","Age: 85 ex_fr_female$Type: Predicted Year: 2011 Ex: 7.933254","Age: 85 ex_fr_female$Type: Predicted Year: 2012 Ex: 7.731165","Age: 85 ex_fr_female$Type: Predicted Year: 2013 Ex: 7.842081","Age: 85 ex_fr_female$Type: Predicted Year: 2014 Ex: 8.109843","Age: 85 ex_fr_female$Type: Predicted Year: 2015 Ex: 7.850493","Age: 85 ex_fr_female$Type: Predicted Year: 2016 Ex: 7.988746","Age: 85 ex_fr_female$Type: Predicted Year: 2017 Ex: 7.928752"],"frame":"85","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"86","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[4.22,4.31,4.31,4.25,4.02,4.42,4.07,4.08,4.54,4.23,3.87,4.32,4.24,3.91,3.99,3.92,3.77,4.18,4.08,4.05,4.08,3.56,4.03,4.32,3.77,4,3.88,3.87,3.94,4.07,3.73,3.4,3.69,3.62,3.89,3.6,3.68,3.36,3.26,3.08,3.4,3.36,3.18,3.28,3.58,3.52,3.55,3.56,3.44,3.32,3.54,3.46,3.39,3.42,3.08,2.95,3.78,3.42,3.6,3.36,3.47,3.53,3.33,3.14,3.46,3.68,3.67,3.45,3.56,3.53,3.47,3.51,3.43,3.63,3.31,3.17,3.12,3.16,3.29,3.07,3.52,3.64,3.35,3.24,3.12,3.34,3.45,3.39,3.3,3.21,3.22,3.22,3.43,3.28,3.49,3.14,3.62,3.57,3.21,3.35,3.25,3.1,3.21,3.12,3.61,3.5,3.32,3.57,3.57,3.34,3.41,3.42,3.51,3.13,3.87,3.38,3.57,3.48,3.85,3.59,3.74,3.83,3.69,3.61,2.89,3.36,3.34,3.44,3.11,3.46,3.95,4.1,4.4,3.74,4.09,3.75,4.12,3.76,4.2,4.1,3.91,4.11,4.28,4.32,4.22,4.52,4.19,4.13,4.55,4.39,4.59,4.52,4.48,4.56,4.65,4.56,4.75,4.64,4.73,4.73,4.75,5.04,4.98,5.06,5.02,4.96,5.16,4.99,5.23,5.17,5.25,5.53,5.6,5.56,5.63,5.76,5.86,5.8,6.06,5.98,5.99,6.06,6.09,6.07,6.19,6.28,6.25,6.07,6.68,6.53,6.78,6.81,6.79,6.8,6.89,7.05,6.85,6.96,7.21,6.94,7.08,7.01],"text":["Age: 86 ex_fr_female$Type: Observed Year: 1816 Ex: 4.220000","Age: 86 ex_fr_female$Type: Observed Year: 1817 Ex: 4.310000","Age: 86 ex_fr_female$Type: Observed Year: 1818 Ex: 4.310000","Age: 86 ex_fr_female$Type: Observed Year: 1819 Ex: 4.250000","Age: 86 ex_fr_female$Type: Observed Year: 1820 Ex: 4.020000","Age: 86 ex_fr_female$Type: Observed Year: 1821 Ex: 4.420000","Age: 86 ex_fr_female$Type: Observed Year: 1822 Ex: 4.070000","Age: 86 ex_fr_female$Type: Observed Year: 1823 Ex: 4.080000","Age: 86 ex_fr_female$Type: Observed Year: 1824 Ex: 4.540000","Age: 86 ex_fr_female$Type: Observed Year: 1825 Ex: 4.230000","Age: 86 ex_fr_female$Type: Observed Year: 1826 Ex: 3.870000","Age: 86 ex_fr_female$Type: Observed Year: 1827 Ex: 4.320000","Age: 86 ex_fr_female$Type: Observed Year: 1828 Ex: 4.240000","Age: 86 ex_fr_female$Type: Observed Year: 1829 Ex: 3.910000","Age: 86 ex_fr_female$Type: Observed Year: 1830 Ex: 3.990000","Age: 86 ex_fr_female$Type: Observed Year: 1831 Ex: 3.920000","Age: 86 ex_fr_female$Type: Observed Year: 1832 Ex: 3.770000","Age: 86 ex_fr_female$Type: Observed Year: 1833 Ex: 4.180000","Age: 86 ex_fr_female$Type: Observed Year: 1834 Ex: 4.080000","Age: 86 ex_fr_female$Type: Observed Year: 1835 Ex: 4.050000","Age: 86 ex_fr_female$Type: Observed Year: 1836 Ex: 4.080000","Age: 86 ex_fr_female$Type: Observed Year: 1837 Ex: 3.560000","Age: 86 ex_fr_female$Type: Observed Year: 1838 Ex: 4.030000","Age: 86 ex_fr_female$Type: Observed Year: 1839 Ex: 4.320000","Age: 86 ex_fr_female$Type: Observed Year: 1840 Ex: 3.770000","Age: 86 ex_fr_female$Type: Observed Year: 1841 Ex: 4.000000","Age: 86 ex_fr_female$Type: Observed Year: 1842 Ex: 3.880000","Age: 86 ex_fr_female$Type: Observed Year: 1843 Ex: 3.870000","Age: 86 ex_fr_female$Type: Observed Year: 1844 Ex: 3.940000","Age: 86 ex_fr_female$Type: Observed Year: 1845 Ex: 4.070000","Age: 86 ex_fr_female$Type: Observed Year: 1846 Ex: 3.730000","Age: 86 ex_fr_female$Type: Observed Year: 1847 Ex: 3.400000","Age: 86 ex_fr_female$Type: Observed Year: 1848 Ex: 3.690000","Age: 86 ex_fr_female$Type: Observed Year: 1849 Ex: 3.620000","Age: 86 ex_fr_female$Type: Observed Year: 1850 Ex: 3.890000","Age: 86 ex_fr_female$Type: Observed Year: 1851 Ex: 3.600000","Age: 86 ex_fr_female$Type: Observed Year: 1852 Ex: 3.680000","Age: 86 ex_fr_female$Type: Observed Year: 1853 Ex: 3.360000","Age: 86 ex_fr_female$Type: Observed Year: 1854 Ex: 3.260000","Age: 86 ex_fr_female$Type: Observed Year: 1855 Ex: 3.080000","Age: 86 ex_fr_female$Type: Observed Year: 1856 Ex: 3.400000","Age: 86 ex_fr_female$Type: Observed Year: 1857 Ex: 3.360000","Age: 86 ex_fr_female$Type: Observed Year: 1858 Ex: 3.180000","Age: 86 ex_fr_female$Type: Observed Year: 1859 Ex: 3.280000","Age: 86 ex_fr_female$Type: Observed Year: 1860 Ex: 3.580000","Age: 86 ex_fr_female$Type: Observed Year: 1861 Ex: 3.520000","Age: 86 ex_fr_female$Type: Observed Year: 1862 Ex: 3.550000","Age: 86 ex_fr_female$Type: Observed Year: 1863 Ex: 3.560000","Age: 86 ex_fr_female$Type: Observed Year: 1864 Ex: 3.440000","Age: 86 ex_fr_female$Type: Observed Year: 1865 Ex: 3.320000","Age: 86 ex_fr_female$Type: Observed Year: 1866 Ex: 3.540000","Age: 86 ex_fr_female$Type: Observed Year: 1867 Ex: 3.460000","Age: 86 ex_fr_female$Type: Observed Year: 1868 Ex: 3.390000","Age: 86 ex_fr_female$Type: Observed Year: 1869 Ex: 3.420000","Age: 86 ex_fr_female$Type: Observed Year: 1870 Ex: 3.080000","Age: 86 ex_fr_female$Type: Observed Year: 1871 Ex: 2.950000","Age: 86 ex_fr_female$Type: Observed Year: 1872 Ex: 3.780000","Age: 86 ex_fr_female$Type: Observed Year: 1873 Ex: 3.420000","Age: 86 ex_fr_female$Type: Observed Year: 1874 Ex: 3.600000","Age: 86 ex_fr_female$Type: Observed Year: 1875 Ex: 3.360000","Age: 86 ex_fr_female$Type: Observed Year: 1876 Ex: 3.470000","Age: 86 ex_fr_female$Type: Observed Year: 1877 Ex: 3.530000","Age: 86 ex_fr_female$Type: Observed Year: 1878 Ex: 3.330000","Age: 86 ex_fr_female$Type: Observed Year: 1879 Ex: 3.140000","Age: 86 ex_fr_female$Type: Observed Year: 1880 Ex: 3.460000","Age: 86 ex_fr_female$Type: Observed Year: 1881 Ex: 3.680000","Age: 86 ex_fr_female$Type: Observed Year: 1882 Ex: 3.670000","Age: 86 ex_fr_female$Type: Observed Year: 1883 Ex: 3.450000","Age: 86 ex_fr_female$Type: Observed Year: 1884 Ex: 3.560000","Age: 86 ex_fr_female$Type: Observed Year: 1885 Ex: 3.530000","Age: 86 ex_fr_female$Type: Observed Year: 1886 Ex: 3.470000","Age: 86 ex_fr_female$Type: Observed Year: 1887 Ex: 3.510000","Age: 86 ex_fr_female$Type: Observed Year: 1888 Ex: 3.430000","Age: 86 ex_fr_female$Type: Observed Year: 1889 Ex: 3.630000","Age: 86 ex_fr_female$Type: Observed Year: 1890 Ex: 3.310000","Age: 86 ex_fr_female$Type: Observed Year: 1891 Ex: 3.170000","Age: 86 ex_fr_female$Type: Observed Year: 1892 Ex: 3.120000","Age: 86 ex_fr_female$Type: Observed Year: 1893 Ex: 3.160000","Age: 86 ex_fr_female$Type: Observed Year: 1894 Ex: 3.290000","Age: 86 ex_fr_female$Type: Observed Year: 1895 Ex: 3.070000","Age: 86 ex_fr_female$Type: Observed Year: 1896 Ex: 3.520000","Age: 86 ex_fr_female$Type: Observed Year: 1897 Ex: 3.640000","Age: 86 ex_fr_female$Type: Observed Year: 1898 Ex: 3.350000","Age: 86 ex_fr_female$Type: Observed Year: 1899 Ex: 3.240000","Age: 86 ex_fr_female$Type: Observed Year: 1900 Ex: 3.120000","Age: 86 ex_fr_female$Type: Observed Year: 1901 Ex: 3.340000","Age: 86 ex_fr_female$Type: Observed Year: 1902 Ex: 3.450000","Age: 86 ex_fr_female$Type: Observed Year: 1903 Ex: 3.390000","Age: 86 ex_fr_female$Type: Observed Year: 1904 Ex: 3.300000","Age: 86 ex_fr_female$Type: Observed Year: 1905 Ex: 3.210000","Age: 86 ex_fr_female$Type: Observed Year: 1906 Ex: 3.220000","Age: 86 ex_fr_female$Type: Observed Year: 1907 Ex: 3.220000","Age: 86 ex_fr_female$Type: Observed Year: 1908 Ex: 3.430000","Age: 86 ex_fr_female$Type: Observed Year: 1909 Ex: 3.280000","Age: 86 ex_fr_female$Type: Observed Year: 1910 Ex: 3.490000","Age: 86 ex_fr_female$Type: Observed Year: 1911 Ex: 3.140000","Age: 86 ex_fr_female$Type: Observed Year: 1912 Ex: 3.620000","Age: 86 ex_fr_female$Type: Observed Year: 1913 Ex: 3.570000","Age: 86 ex_fr_female$Type: Observed Year: 1914 Ex: 3.210000","Age: 86 ex_fr_female$Type: Observed Year: 1915 Ex: 3.350000","Age: 86 ex_fr_female$Type: Observed Year: 1916 Ex: 3.250000","Age: 86 ex_fr_female$Type: Observed Year: 1917 Ex: 3.100000","Age: 86 ex_fr_female$Type: Observed Year: 1918 Ex: 3.210000","Age: 86 ex_fr_female$Type: Observed Year: 1919 Ex: 3.120000","Age: 86 ex_fr_female$Type: Observed Year: 1920 Ex: 3.610000","Age: 86 ex_fr_female$Type: Observed Year: 1921 Ex: 3.500000","Age: 86 ex_fr_female$Type: Observed Year: 1922 Ex: 3.320000","Age: 86 ex_fr_female$Type: Observed Year: 1923 Ex: 3.570000","Age: 86 ex_fr_female$Type: Observed Year: 1924 Ex: 3.570000","Age: 86 ex_fr_female$Type: Observed Year: 1925 Ex: 3.340000","Age: 86 ex_fr_female$Type: Observed Year: 1926 Ex: 3.410000","Age: 86 ex_fr_female$Type: Observed Year: 1927 Ex: 3.420000","Age: 86 ex_fr_female$Type: Observed Year: 1928 Ex: 3.510000","Age: 86 ex_fr_female$Type: Observed Year: 1929 Ex: 3.130000","Age: 86 ex_fr_female$Type: Observed Year: 1930 Ex: 3.870000","Age: 86 ex_fr_female$Type: Observed Year: 1931 Ex: 3.380000","Age: 86 ex_fr_female$Type: Observed Year: 1932 Ex: 3.570000","Age: 86 ex_fr_female$Type: Observed Year: 1933 Ex: 3.480000","Age: 86 ex_fr_female$Type: Observed Year: 1934 Ex: 3.850000","Age: 86 ex_fr_female$Type: Observed Year: 1935 Ex: 3.590000","Age: 86 ex_fr_female$Type: Observed Year: 1936 Ex: 3.740000","Age: 86 ex_fr_female$Type: Observed Year: 1937 Ex: 3.830000","Age: 86 ex_fr_female$Type: Observed Year: 1938 Ex: 3.690000","Age: 86 ex_fr_female$Type: Observed Year: 1939 Ex: 3.610000","Age: 86 ex_fr_female$Type: Observed Year: 1940 Ex: 2.890000","Age: 86 ex_fr_female$Type: Observed Year: 1941 Ex: 3.360000","Age: 86 ex_fr_female$Type: Observed Year: 1942 Ex: 3.340000","Age: 86 ex_fr_female$Type: Observed Year: 1943 Ex: 3.440000","Age: 86 ex_fr_female$Type: Observed Year: 1944 Ex: 3.110000","Age: 86 ex_fr_female$Type: Observed Year: 1945 Ex: 3.460000","Age: 86 ex_fr_female$Type: Observed Year: 1946 Ex: 3.950000","Age: 86 ex_fr_female$Type: Observed Year: 1947 Ex: 4.100000","Age: 86 ex_fr_female$Type: Observed Year: 1948 Ex: 4.400000","Age: 86 ex_fr_female$Type: Observed Year: 1949 Ex: 3.740000","Age: 86 ex_fr_female$Type: Observed Year: 1950 Ex: 4.090000","Age: 86 ex_fr_female$Type: Observed Year: 1951 Ex: 3.750000","Age: 86 ex_fr_female$Type: Observed Year: 1952 Ex: 4.120000","Age: 86 ex_fr_female$Type: Observed Year: 1953 Ex: 3.760000","Age: 86 ex_fr_female$Type: Observed Year: 1954 Ex: 4.200000","Age: 86 ex_fr_female$Type: Observed Year: 1955 Ex: 4.100000","Age: 86 ex_fr_female$Type: Observed Year: 1956 Ex: 3.910000","Age: 86 ex_fr_female$Type: Observed Year: 1957 Ex: 4.110000","Age: 86 ex_fr_female$Type: Observed Year: 1958 Ex: 4.280000","Age: 86 ex_fr_female$Type: Observed Year: 1959 Ex: 4.320000","Age: 86 ex_fr_female$Type: Observed Year: 1960 Ex: 4.220000","Age: 86 ex_fr_female$Type: Observed Year: 1961 Ex: 4.520000","Age: 86 ex_fr_female$Type: Observed Year: 1962 Ex: 4.190000","Age: 86 ex_fr_female$Type: Observed Year: 1963 Ex: 4.130000","Age: 86 ex_fr_female$Type: Observed Year: 1964 Ex: 4.550000","Age: 86 ex_fr_female$Type: Observed Year: 1965 Ex: 4.390000","Age: 86 ex_fr_female$Type: Observed Year: 1966 Ex: 4.590000","Age: 86 ex_fr_female$Type: Observed Year: 1967 Ex: 4.520000","Age: 86 ex_fr_female$Type: Observed Year: 1968 Ex: 4.480000","Age: 86 ex_fr_female$Type: Observed Year: 1969 Ex: 4.560000","Age: 86 ex_fr_female$Type: Observed Year: 1970 Ex: 4.650000","Age: 86 ex_fr_female$Type: Observed Year: 1971 Ex: 4.560000","Age: 86 ex_fr_female$Type: Observed Year: 1972 Ex: 4.750000","Age: 86 ex_fr_female$Type: Observed Year: 1973 Ex: 4.640000","Age: 86 ex_fr_female$Type: Observed Year: 1974 Ex: 4.730000","Age: 86 ex_fr_female$Type: Observed Year: 1975 Ex: 4.730000","Age: 86 ex_fr_female$Type: Observed Year: 1976 Ex: 4.750000","Age: 86 ex_fr_female$Type: Observed Year: 1977 Ex: 5.040000","Age: 86 ex_fr_female$Type: Observed Year: 1978 Ex: 4.980000","Age: 86 ex_fr_female$Type: Observed Year: 1979 Ex: 5.060000","Age: 86 ex_fr_female$Type: Observed Year: 1980 Ex: 5.020000","Age: 86 ex_fr_female$Type: Observed Year: 1981 Ex: 4.960000","Age: 86 ex_fr_female$Type: Observed Year: 1982 Ex: 5.160000","Age: 86 ex_fr_female$Type: Observed Year: 1983 Ex: 4.990000","Age: 86 ex_fr_female$Type: Observed Year: 1984 Ex: 5.230000","Age: 86 ex_fr_female$Type: Observed Year: 1985 Ex: 5.170000","Age: 86 ex_fr_female$Type: Observed Year: 1986 Ex: 5.250000","Age: 86 ex_fr_female$Type: Observed Year: 1987 Ex: 5.530000","Age: 86 ex_fr_female$Type: Observed Year: 1988 Ex: 5.600000","Age: 86 ex_fr_female$Type: Observed Year: 1989 Ex: 5.560000","Age: 86 ex_fr_female$Type: Observed Year: 1990 Ex: 5.630000","Age: 86 ex_fr_female$Type: Observed Year: 1991 Ex: 5.760000","Age: 86 ex_fr_female$Type: Observed Year: 1992 Ex: 5.860000","Age: 86 ex_fr_female$Type: Observed Year: 1993 Ex: 5.800000","Age: 86 ex_fr_female$Type: Observed Year: 1994 Ex: 6.060000","Age: 86 ex_fr_female$Type: Observed Year: 1995 Ex: 5.980000","Age: 86 ex_fr_female$Type: Observed Year: 1996 Ex: 5.990000","Age: 86 ex_fr_female$Type: Observed Year: 1997 Ex: 6.060000","Age: 86 ex_fr_female$Type: Observed Year: 1998 Ex: 6.090000","Age: 86 ex_fr_female$Type: Observed Year: 1999 Ex: 6.070000","Age: 86 ex_fr_female$Type: Observed Year: 2000 Ex: 6.190000","Age: 86 ex_fr_female$Type: Observed Year: 2001 Ex: 6.280000","Age: 86 ex_fr_female$Type: Observed Year: 2002 Ex: 6.250000","Age: 86 ex_fr_female$Type: Observed Year: 2003 Ex: 6.070000","Age: 86 ex_fr_female$Type: Observed Year: 2004 Ex: 6.680000","Age: 86 ex_fr_female$Type: Observed Year: 2005 Ex: 6.530000","Age: 86 ex_fr_female$Type: Observed Year: 2006 Ex: 6.780000","Age: 86 ex_fr_female$Type: Observed Year: 2007 Ex: 6.810000","Age: 86 ex_fr_female$Type: Observed Year: 2008 Ex: 6.790000","Age: 86 ex_fr_female$Type: Observed Year: 2009 Ex: 6.800000","Age: 86 ex_fr_female$Type: Observed Year: 2010 Ex: 6.890000","Age: 86 ex_fr_female$Type: Observed Year: 2011 Ex: 7.050000","Age: 86 ex_fr_female$Type: Observed Year: 2012 Ex: 6.850000","Age: 86 ex_fr_female$Type: Observed Year: 2013 Ex: 6.960000","Age: 86 ex_fr_female$Type: Observed Year: 2014 Ex: 7.210000","Age: 86 ex_fr_female$Type: Observed Year: 2015 Ex: 6.940000","Age: 86 ex_fr_female$Type: Observed Year: 2016 Ex: 7.080000","Age: 86 ex_fr_female$Type: Observed Year: 2017 Ex: 7.010000"],"frame":"86","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[4.66261868390695,4.72761011939237,4.72918635396467,4.68667668651109,4.45481512889691,4.85488366556316,4.50654783301362,4.51250269392657,4.96201554939352,4.66215109427917,4.30101265493443,4.75443215290496,4.67758624559604,4.34618660718152,4.43505412218478,4.35473594744769,4.21348723884049,4.61900134722679,4.5160682473048,4.48178559410144,4.51539865104853,4.00903951516923,4.47133146778388,4.75451928315369,4.21560328801341,4.42926979507494,4.31160783921852,4.31100370516435,4.37605258826161,4.50601048023786,4.16589769303707,3.84795229515161,4.12527548162192,4.06158488048632,4.32772378485168,4.0341037759882,4.11689775189727,3.79764823964195,3.70055307724365,3.51404371585202,3.84609144473223,3.80128378899236,3.63230802502707,3.72117049505572,4.00434304578838,3.95415283686477,3.98324338523968,3.99828709285749,3.88137477039889,3.76111556210182,3.97382872001807,3.89407199547813,3.8218764411414,3.85323153831253,3.52094814912279,3.39413168582995,4.20494953692807,3.85912672611681,4.02865589641633,3.78423561845875,3.89613187191607,3.94969431005027,3.76300891381594,3.5712578802739,3.89097160562228,4.11271041461012,4.08900021921749,3.87501361420848,3.9815845739149,3.94952740845772,3.89695003840177,3.94289879131008,3.85613801407947,4.05347819414379,3.73713123006342,3.59385334257265,3.55084841038638,3.59027180100444,3.70650680571833,3.49005925258569,3.94020315405655,4.06720913840369,3.7765095297046,3.66770408569329,3.55377768866976,3.76747635613369,3.869228531468,3.81994635991319,3.73406136785176,3.62883549446135,3.64872002959598,3.65143450684859,3.85754780260826,3.70442379751335,3.909682907295,3.56559016345056,4.03464034153764,3.98758413473797,3.63847422116675,3.76772292929419,3.67599524827199,3.53148317851504,3.62942884322252,3.54261549124744,4.02417451923211,3.9156213029398,3.74306757471227,3.99044141366766,3.98131016075955,3.75736499610704,3.83401336255979,3.8330660019614,3.92272641515623,3.55127446804895,4.27697905058668,3.8031829162941,3.98275403056018,3.89409082884027,4.25772690913495,4.00061834827669,4.14536134965134,4.23348926127634,4.09752307950777,4.01599465019181,3.31022513530292,3.76918609962918,3.75044214865981,3.85809227102611,3.53031753197749,3.8688500972207,4.34988848745136,4.50019253047346,4.80324674336833,4.14678571927635,4.48876887951894,4.15766895500858,4.52427601127391,4.16875473060148,4.60061376805271,4.49996328338711,4.31116473866313,4.51098009738334,4.67259593456345,4.71213811157635,4.61606686898628,4.90735394941632,4.58133657042472,4.52927469422988,4.93929321774871,4.77789766846406,4.97547096202965,4.91114818352226,4.86532440424424,4.94735293910361,5.03630023557222,4.94602552252312,5.13820869863819,5.02806216446689,5.11251248732077,5.11394963310749,5.13166391646511,5.41414550495691,5.35294909016141,5.43754050389527,5.39750561291222,5.33926400558197,5.52919321206411,5.36168877718362,5.59732534889915,5.53991420077332,5.61459465830693,5.89429741417777,5.95980673584274,5.91602686857928,5.98496704053876,6.11551190308097,6.21742556423678,6.15842920059526,6.40771528144184,6.33321566181063,6.34211702587044,6.41083367225277,6.43647479971955,6.41769984285927,6.5354487999482,6.62200605332497,6.59251871155594,6.41306495717181,7.02114946422114,6.86946358826054,7.11900283541598,7.144049781996,7.12531173629813,7.13528125268449,7.23057021676289,7.38830434085578,7.18814299828499,7.29092588118448,7.53772612673942,7.27382241317632,7.41409572941252,7.33985965820538],"text":["Age: 86 ex_fr_female$Type: Predicted Year: 1816 Ex: 4.662619","Age: 86 ex_fr_female$Type: Predicted Year: 1817 Ex: 4.727610","Age: 86 ex_fr_female$Type: Predicted Year: 1818 Ex: 4.729186","Age: 86 ex_fr_female$Type: Predicted Year: 1819 Ex: 4.686677","Age: 86 ex_fr_female$Type: Predicted Year: 1820 Ex: 4.454815","Age: 86 ex_fr_female$Type: Predicted Year: 1821 Ex: 4.854884","Age: 86 ex_fr_female$Type: Predicted Year: 1822 Ex: 4.506548","Age: 86 ex_fr_female$Type: Predicted Year: 1823 Ex: 4.512503","Age: 86 ex_fr_female$Type: Predicted Year: 1824 Ex: 4.962016","Age: 86 ex_fr_female$Type: Predicted Year: 1825 Ex: 4.662151","Age: 86 ex_fr_female$Type: Predicted Year: 1826 Ex: 4.301013","Age: 86 ex_fr_female$Type: Predicted Year: 1827 Ex: 4.754432","Age: 86 ex_fr_female$Type: Predicted Year: 1828 Ex: 4.677586","Age: 86 ex_fr_female$Type: Predicted Year: 1829 Ex: 4.346187","Age: 86 ex_fr_female$Type: Predicted Year: 1830 Ex: 4.435054","Age: 86 ex_fr_female$Type: Predicted Year: 1831 Ex: 4.354736","Age: 86 ex_fr_female$Type: Predicted Year: 1832 Ex: 4.213487","Age: 86 ex_fr_female$Type: Predicted Year: 1833 Ex: 4.619001","Age: 86 ex_fr_female$Type: Predicted Year: 1834 Ex: 4.516068","Age: 86 ex_fr_female$Type: Predicted Year: 1835 Ex: 4.481786","Age: 86 ex_fr_female$Type: Predicted Year: 1836 Ex: 4.515399","Age: 86 ex_fr_female$Type: Predicted Year: 1837 Ex: 4.009040","Age: 86 ex_fr_female$Type: Predicted Year: 1838 Ex: 4.471331","Age: 86 ex_fr_female$Type: Predicted Year: 1839 Ex: 4.754519","Age: 86 ex_fr_female$Type: Predicted Year: 1840 Ex: 4.215603","Age: 86 ex_fr_female$Type: Predicted Year: 1841 Ex: 4.429270","Age: 86 ex_fr_female$Type: Predicted Year: 1842 Ex: 4.311608","Age: 86 ex_fr_female$Type: Predicted Year: 1843 Ex: 4.311004","Age: 86 ex_fr_female$Type: Predicted Year: 1844 Ex: 4.376053","Age: 86 ex_fr_female$Type: Predicted Year: 1845 Ex: 4.506010","Age: 86 ex_fr_female$Type: Predicted Year: 1846 Ex: 4.165898","Age: 86 ex_fr_female$Type: Predicted Year: 1847 Ex: 3.847952","Age: 86 ex_fr_female$Type: Predicted Year: 1848 Ex: 4.125275","Age: 86 ex_fr_female$Type: Predicted Year: 1849 Ex: 4.061585","Age: 86 ex_fr_female$Type: Predicted Year: 1850 Ex: 4.327724","Age: 86 ex_fr_female$Type: Predicted Year: 1851 Ex: 4.034104","Age: 86 ex_fr_female$Type: Predicted Year: 1852 Ex: 4.116898","Age: 86 ex_fr_female$Type: Predicted Year: 1853 Ex: 3.797648","Age: 86 ex_fr_female$Type: Predicted Year: 1854 Ex: 3.700553","Age: 86 ex_fr_female$Type: Predicted Year: 1855 Ex: 3.514044","Age: 86 ex_fr_female$Type: Predicted Year: 1856 Ex: 3.846091","Age: 86 ex_fr_female$Type: Predicted Year: 1857 Ex: 3.801284","Age: 86 ex_fr_female$Type: Predicted Year: 1858 Ex: 3.632308","Age: 86 ex_fr_female$Type: Predicted Year: 1859 Ex: 3.721170","Age: 86 ex_fr_female$Type: Predicted Year: 1860 Ex: 4.004343","Age: 86 ex_fr_female$Type: Predicted Year: 1861 Ex: 3.954153","Age: 86 ex_fr_female$Type: Predicted Year: 1862 Ex: 3.983243","Age: 86 ex_fr_female$Type: Predicted Year: 1863 Ex: 3.998287","Age: 86 ex_fr_female$Type: Predicted Year: 1864 Ex: 3.881375","Age: 86 ex_fr_female$Type: Predicted Year: 1865 Ex: 3.761116","Age: 86 ex_fr_female$Type: Predicted Year: 1866 Ex: 3.973829","Age: 86 ex_fr_female$Type: Predicted Year: 1867 Ex: 3.894072","Age: 86 ex_fr_female$Type: Predicted Year: 1868 Ex: 3.821876","Age: 86 ex_fr_female$Type: Predicted Year: 1869 Ex: 3.853232","Age: 86 ex_fr_female$Type: Predicted Year: 1870 Ex: 3.520948","Age: 86 ex_fr_female$Type: Predicted Year: 1871 Ex: 3.394132","Age: 86 ex_fr_female$Type: Predicted Year: 1872 Ex: 4.204950","Age: 86 ex_fr_female$Type: Predicted Year: 1873 Ex: 3.859127","Age: 86 ex_fr_female$Type: Predicted Year: 1874 Ex: 4.028656","Age: 86 ex_fr_female$Type: Predicted Year: 1875 Ex: 3.784236","Age: 86 ex_fr_female$Type: Predicted Year: 1876 Ex: 3.896132","Age: 86 ex_fr_female$Type: Predicted Year: 1877 Ex: 3.949694","Age: 86 ex_fr_female$Type: Predicted Year: 1878 Ex: 3.763009","Age: 86 ex_fr_female$Type: Predicted Year: 1879 Ex: 3.571258","Age: 86 ex_fr_female$Type: Predicted Year: 1880 Ex: 3.890972","Age: 86 ex_fr_female$Type: Predicted Year: 1881 Ex: 4.112710","Age: 86 ex_fr_female$Type: Predicted Year: 1882 Ex: 4.089000","Age: 86 ex_fr_female$Type: Predicted Year: 1883 Ex: 3.875014","Age: 86 ex_fr_female$Type: Predicted Year: 1884 Ex: 3.981585","Age: 86 ex_fr_female$Type: Predicted Year: 1885 Ex: 3.949527","Age: 86 ex_fr_female$Type: Predicted Year: 1886 Ex: 3.896950","Age: 86 ex_fr_female$Type: Predicted Year: 1887 Ex: 3.942899","Age: 86 ex_fr_female$Type: Predicted Year: 1888 Ex: 3.856138","Age: 86 ex_fr_female$Type: Predicted Year: 1889 Ex: 4.053478","Age: 86 ex_fr_female$Type: Predicted Year: 1890 Ex: 3.737131","Age: 86 ex_fr_female$Type: Predicted Year: 1891 Ex: 3.593853","Age: 86 ex_fr_female$Type: Predicted Year: 1892 Ex: 3.550848","Age: 86 ex_fr_female$Type: Predicted Year: 1893 Ex: 3.590272","Age: 86 ex_fr_female$Type: Predicted Year: 1894 Ex: 3.706507","Age: 86 ex_fr_female$Type: Predicted Year: 1895 Ex: 3.490059","Age: 86 ex_fr_female$Type: Predicted Year: 1896 Ex: 3.940203","Age: 86 ex_fr_female$Type: Predicted Year: 1897 Ex: 4.067209","Age: 86 ex_fr_female$Type: Predicted Year: 1898 Ex: 3.776510","Age: 86 ex_fr_female$Type: Predicted Year: 1899 Ex: 3.667704","Age: 86 ex_fr_female$Type: Predicted Year: 1900 Ex: 3.553778","Age: 86 ex_fr_female$Type: Predicted Year: 1901 Ex: 3.767476","Age: 86 ex_fr_female$Type: Predicted Year: 1902 Ex: 3.869229","Age: 86 ex_fr_female$Type: Predicted Year: 1903 Ex: 3.819946","Age: 86 ex_fr_female$Type: Predicted Year: 1904 Ex: 3.734061","Age: 86 ex_fr_female$Type: Predicted Year: 1905 Ex: 3.628835","Age: 86 ex_fr_female$Type: Predicted Year: 1906 Ex: 3.648720","Age: 86 ex_fr_female$Type: Predicted Year: 1907 Ex: 3.651435","Age: 86 ex_fr_female$Type: Predicted Year: 1908 Ex: 3.857548","Age: 86 ex_fr_female$Type: Predicted Year: 1909 Ex: 3.704424","Age: 86 ex_fr_female$Type: Predicted Year: 1910 Ex: 3.909683","Age: 86 ex_fr_female$Type: Predicted Year: 1911 Ex: 3.565590","Age: 86 ex_fr_female$Type: Predicted Year: 1912 Ex: 4.034640","Age: 86 ex_fr_female$Type: Predicted Year: 1913 Ex: 3.987584","Age: 86 ex_fr_female$Type: Predicted Year: 1914 Ex: 3.638474","Age: 86 ex_fr_female$Type: Predicted Year: 1915 Ex: 3.767723","Age: 86 ex_fr_female$Type: Predicted Year: 1916 Ex: 3.675995","Age: 86 ex_fr_female$Type: Predicted Year: 1917 Ex: 3.531483","Age: 86 ex_fr_female$Type: Predicted Year: 1918 Ex: 3.629429","Age: 86 ex_fr_female$Type: Predicted Year: 1919 Ex: 3.542615","Age: 86 ex_fr_female$Type: Predicted Year: 1920 Ex: 4.024175","Age: 86 ex_fr_female$Type: Predicted Year: 1921 Ex: 3.915621","Age: 86 ex_fr_female$Type: Predicted Year: 1922 Ex: 3.743068","Age: 86 ex_fr_female$Type: Predicted Year: 1923 Ex: 3.990441","Age: 86 ex_fr_female$Type: Predicted Year: 1924 Ex: 3.981310","Age: 86 ex_fr_female$Type: Predicted Year: 1925 Ex: 3.757365","Age: 86 ex_fr_female$Type: Predicted Year: 1926 Ex: 3.834013","Age: 86 ex_fr_female$Type: Predicted Year: 1927 Ex: 3.833066","Age: 86 ex_fr_female$Type: Predicted Year: 1928 Ex: 3.922726","Age: 86 ex_fr_female$Type: Predicted Year: 1929 Ex: 3.551274","Age: 86 ex_fr_female$Type: Predicted Year: 1930 Ex: 4.276979","Age: 86 ex_fr_female$Type: Predicted Year: 1931 Ex: 3.803183","Age: 86 ex_fr_female$Type: Predicted Year: 1932 Ex: 3.982754","Age: 86 ex_fr_female$Type: Predicted Year: 1933 Ex: 3.894091","Age: 86 ex_fr_female$Type: Predicted Year: 1934 Ex: 4.257727","Age: 86 ex_fr_female$Type: Predicted Year: 1935 Ex: 4.000618","Age: 86 ex_fr_female$Type: Predicted Year: 1936 Ex: 4.145361","Age: 86 ex_fr_female$Type: Predicted Year: 1937 Ex: 4.233489","Age: 86 ex_fr_female$Type: Predicted Year: 1938 Ex: 4.097523","Age: 86 ex_fr_female$Type: Predicted Year: 1939 Ex: 4.015995","Age: 86 ex_fr_female$Type: Predicted Year: 1940 Ex: 3.310225","Age: 86 ex_fr_female$Type: Predicted Year: 1941 Ex: 3.769186","Age: 86 ex_fr_female$Type: Predicted Year: 1942 Ex: 3.750442","Age: 86 ex_fr_female$Type: Predicted Year: 1943 Ex: 3.858092","Age: 86 ex_fr_female$Type: Predicted Year: 1944 Ex: 3.530318","Age: 86 ex_fr_female$Type: Predicted Year: 1945 Ex: 3.868850","Age: 86 ex_fr_female$Type: Predicted Year: 1946 Ex: 4.349888","Age: 86 ex_fr_female$Type: Predicted Year: 1947 Ex: 4.500193","Age: 86 ex_fr_female$Type: Predicted Year: 1948 Ex: 4.803247","Age: 86 ex_fr_female$Type: Predicted Year: 1949 Ex: 4.146786","Age: 86 ex_fr_female$Type: Predicted Year: 1950 Ex: 4.488769","Age: 86 ex_fr_female$Type: Predicted Year: 1951 Ex: 4.157669","Age: 86 ex_fr_female$Type: Predicted Year: 1952 Ex: 4.524276","Age: 86 ex_fr_female$Type: Predicted Year: 1953 Ex: 4.168755","Age: 86 ex_fr_female$Type: Predicted Year: 1954 Ex: 4.600614","Age: 86 ex_fr_female$Type: Predicted Year: 1955 Ex: 4.499963","Age: 86 ex_fr_female$Type: Predicted Year: 1956 Ex: 4.311165","Age: 86 ex_fr_female$Type: Predicted Year: 1957 Ex: 4.510980","Age: 86 ex_fr_female$Type: Predicted Year: 1958 Ex: 4.672596","Age: 86 ex_fr_female$Type: Predicted Year: 1959 Ex: 4.712138","Age: 86 ex_fr_female$Type: Predicted Year: 1960 Ex: 4.616067","Age: 86 ex_fr_female$Type: Predicted Year: 1961 Ex: 4.907354","Age: 86 ex_fr_female$Type: Predicted Year: 1962 Ex: 4.581337","Age: 86 ex_fr_female$Type: Predicted Year: 1963 Ex: 4.529275","Age: 86 ex_fr_female$Type: Predicted Year: 1964 Ex: 4.939293","Age: 86 ex_fr_female$Type: Predicted Year: 1965 Ex: 4.777898","Age: 86 ex_fr_female$Type: Predicted Year: 1966 Ex: 4.975471","Age: 86 ex_fr_female$Type: Predicted Year: 1967 Ex: 4.911148","Age: 86 ex_fr_female$Type: Predicted Year: 1968 Ex: 4.865324","Age: 86 ex_fr_female$Type: Predicted Year: 1969 Ex: 4.947353","Age: 86 ex_fr_female$Type: Predicted Year: 1970 Ex: 5.036300","Age: 86 ex_fr_female$Type: Predicted Year: 1971 Ex: 4.946026","Age: 86 ex_fr_female$Type: Predicted Year: 1972 Ex: 5.138209","Age: 86 ex_fr_female$Type: Predicted Year: 1973 Ex: 5.028062","Age: 86 ex_fr_female$Type: Predicted Year: 1974 Ex: 5.112512","Age: 86 ex_fr_female$Type: Predicted Year: 1975 Ex: 5.113950","Age: 86 ex_fr_female$Type: Predicted Year: 1976 Ex: 5.131664","Age: 86 ex_fr_female$Type: Predicted Year: 1977 Ex: 5.414146","Age: 86 ex_fr_female$Type: Predicted Year: 1978 Ex: 5.352949","Age: 86 ex_fr_female$Type: Predicted Year: 1979 Ex: 5.437541","Age: 86 ex_fr_female$Type: Predicted Year: 1980 Ex: 5.397506","Age: 86 ex_fr_female$Type: Predicted Year: 1981 Ex: 5.339264","Age: 86 ex_fr_female$Type: Predicted Year: 1982 Ex: 5.529193","Age: 86 ex_fr_female$Type: Predicted Year: 1983 Ex: 5.361689","Age: 86 ex_fr_female$Type: Predicted Year: 1984 Ex: 5.597325","Age: 86 ex_fr_female$Type: Predicted Year: 1985 Ex: 5.539914","Age: 86 ex_fr_female$Type: Predicted Year: 1986 Ex: 5.614595","Age: 86 ex_fr_female$Type: Predicted Year: 1987 Ex: 5.894297","Age: 86 ex_fr_female$Type: Predicted Year: 1988 Ex: 5.959807","Age: 86 ex_fr_female$Type: Predicted Year: 1989 Ex: 5.916027","Age: 86 ex_fr_female$Type: Predicted Year: 1990 Ex: 5.984967","Age: 86 ex_fr_female$Type: Predicted Year: 1991 Ex: 6.115512","Age: 86 ex_fr_female$Type: Predicted Year: 1992 Ex: 6.217426","Age: 86 ex_fr_female$Type: Predicted Year: 1993 Ex: 6.158429","Age: 86 ex_fr_female$Type: Predicted Year: 1994 Ex: 6.407715","Age: 86 ex_fr_female$Type: Predicted Year: 1995 Ex: 6.333216","Age: 86 ex_fr_female$Type: Predicted Year: 1996 Ex: 6.342117","Age: 86 ex_fr_female$Type: Predicted Year: 1997 Ex: 6.410834","Age: 86 ex_fr_female$Type: Predicted Year: 1998 Ex: 6.436475","Age: 86 ex_fr_female$Type: Predicted Year: 1999 Ex: 6.417700","Age: 86 ex_fr_female$Type: Predicted Year: 2000 Ex: 6.535449","Age: 86 ex_fr_female$Type: Predicted Year: 2001 Ex: 6.622006","Age: 86 ex_fr_female$Type: Predicted Year: 2002 Ex: 6.592519","Age: 86 ex_fr_female$Type: Predicted Year: 2003 Ex: 6.413065","Age: 86 ex_fr_female$Type: Predicted Year: 2004 Ex: 7.021149","Age: 86 ex_fr_female$Type: Predicted Year: 2005 Ex: 6.869464","Age: 86 ex_fr_female$Type: Predicted Year: 2006 Ex: 7.119003","Age: 86 ex_fr_female$Type: Predicted Year: 2007 Ex: 7.144050","Age: 86 ex_fr_female$Type: Predicted Year: 2008 Ex: 7.125312","Age: 86 ex_fr_female$Type: Predicted Year: 2009 Ex: 7.135281","Age: 86 ex_fr_female$Type: Predicted Year: 2010 Ex: 7.230570","Age: 86 ex_fr_female$Type: Predicted Year: 2011 Ex: 7.388304","Age: 86 ex_fr_female$Type: Predicted Year: 2012 Ex: 7.188143","Age: 86 ex_fr_female$Type: Predicted Year: 2013 Ex: 7.290926","Age: 86 ex_fr_female$Type: Predicted Year: 2014 Ex: 7.537726","Age: 86 ex_fr_female$Type: Predicted Year: 2015 Ex: 7.273822","Age: 86 ex_fr_female$Type: Predicted Year: 2016 Ex: 7.414096","Age: 86 ex_fr_female$Type: Predicted Year: 2017 Ex: 7.339860"],"frame":"86","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"87","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[4.16,4.2,4.19,4.16,3.95,4.35,3.99,3.97,4.44,4.12,3.76,4.23,4.18,3.83,3.93,3.84,3.71,4.09,4,3.94,3.97,3.48,3.95,4.22,3.68,3.88,3.77,3.77,3.84,3.97,3.61,3.33,3.6,3.53,3.79,3.47,3.55,3.23,3.13,2.94,3.27,3.23,3.06,3.15,3.4,3.36,3.38,3.41,3.3,3.18,3.39,3.32,3.25,3.27,2.96,2.82,3.62,3.28,3.43,3.19,3.31,3.36,3.19,2.98,3.31,3.53,3.49,3.26,3.38,3.34,3.3,3.35,3.26,3.45,3.13,2.97,2.94,2.97,3.08,2.88,3.33,3.45,3.18,3.06,2.93,3.14,3.24,3.22,3.12,3.03,3.03,3.03,3.23,3.09,3.31,2.96,3.41,3.39,3.02,3.13,3.06,2.92,3.02,2.92,3.39,3.29,3.13,3.37,3.3,3.13,3.23,3.18,3.3,2.94,3.63,3.18,3.35,3.26,3.61,3.36,3.49,3.58,3.43,3.37,2.68,3.13,3.11,3.22,2.9,3.21,3.7,3.83,4.13,3.51,3.83,3.5,3.86,3.52,3.94,3.84,3.64,3.84,4,4.04,3.94,4.23,3.92,3.86,4.24,4.1,4.28,4.21,4.17,4.25,4.34,4.23,4.44,4.33,4.39,4.4,4.42,4.69,4.63,4.71,4.67,4.62,4.79,4.63,4.86,4.81,4.87,5.12,5.2,5.15,5.22,5.34,5.43,5.38,5.62,5.54,5.54,5.61,5.63,5.61,5.72,5.8,5.78,5.59,6.19,6.04,6.28,6.29,6.27,6.29,6.38,6.53,6.34,6.44,6.67,6.4,6.53,6.45],"text":["Age: 87 ex_fr_female$Type: Observed Year: 1816 Ex: 4.160000","Age: 87 ex_fr_female$Type: Observed Year: 1817 Ex: 4.200000","Age: 87 ex_fr_female$Type: Observed Year: 1818 Ex: 4.190000","Age: 87 ex_fr_female$Type: Observed Year: 1819 Ex: 4.160000","Age: 87 ex_fr_female$Type: Observed Year: 1820 Ex: 3.950000","Age: 87 ex_fr_female$Type: Observed Year: 1821 Ex: 4.350000","Age: 87 ex_fr_female$Type: Observed Year: 1822 Ex: 3.990000","Age: 87 ex_fr_female$Type: Observed Year: 1823 Ex: 3.970000","Age: 87 ex_fr_female$Type: Observed Year: 1824 Ex: 4.440000","Age: 87 ex_fr_female$Type: Observed Year: 1825 Ex: 4.120000","Age: 87 ex_fr_female$Type: Observed Year: 1826 Ex: 3.760000","Age: 87 ex_fr_female$Type: Observed Year: 1827 Ex: 4.230000","Age: 87 ex_fr_female$Type: Observed Year: 1828 Ex: 4.180000","Age: 87 ex_fr_female$Type: Observed Year: 1829 Ex: 3.830000","Age: 87 ex_fr_female$Type: Observed Year: 1830 Ex: 3.930000","Age: 87 ex_fr_female$Type: Observed Year: 1831 Ex: 3.840000","Age: 87 ex_fr_female$Type: Observed Year: 1832 Ex: 3.710000","Age: 87 ex_fr_female$Type: Observed Year: 1833 Ex: 4.090000","Age: 87 ex_fr_female$Type: Observed Year: 1834 Ex: 4.000000","Age: 87 ex_fr_female$Type: Observed Year: 1835 Ex: 3.940000","Age: 87 ex_fr_female$Type: Observed Year: 1836 Ex: 3.970000","Age: 87 ex_fr_female$Type: Observed Year: 1837 Ex: 3.480000","Age: 87 ex_fr_female$Type: Observed Year: 1838 Ex: 3.950000","Age: 87 ex_fr_female$Type: Observed Year: 1839 Ex: 4.220000","Age: 87 ex_fr_female$Type: Observed Year: 1840 Ex: 3.680000","Age: 87 ex_fr_female$Type: Observed Year: 1841 Ex: 3.880000","Age: 87 ex_fr_female$Type: Observed Year: 1842 Ex: 3.770000","Age: 87 ex_fr_female$Type: Observed Year: 1843 Ex: 3.770000","Age: 87 ex_fr_female$Type: Observed Year: 1844 Ex: 3.840000","Age: 87 ex_fr_female$Type: Observed Year: 1845 Ex: 3.970000","Age: 87 ex_fr_female$Type: Observed Year: 1846 Ex: 3.610000","Age: 87 ex_fr_female$Type: Observed Year: 1847 Ex: 3.330000","Age: 87 ex_fr_female$Type: Observed Year: 1848 Ex: 3.600000","Age: 87 ex_fr_female$Type: Observed Year: 1849 Ex: 3.530000","Age: 87 ex_fr_female$Type: Observed Year: 1850 Ex: 3.790000","Age: 87 ex_fr_female$Type: Observed Year: 1851 Ex: 3.470000","Age: 87 ex_fr_female$Type: Observed Year: 1852 Ex: 3.550000","Age: 87 ex_fr_female$Type: Observed Year: 1853 Ex: 3.230000","Age: 87 ex_fr_female$Type: Observed Year: 1854 Ex: 3.130000","Age: 87 ex_fr_female$Type: Observed Year: 1855 Ex: 2.940000","Age: 87 ex_fr_female$Type: Observed Year: 1856 Ex: 3.270000","Age: 87 ex_fr_female$Type: Observed Year: 1857 Ex: 3.230000","Age: 87 ex_fr_female$Type: Observed Year: 1858 Ex: 3.060000","Age: 87 ex_fr_female$Type: Observed Year: 1859 Ex: 3.150000","Age: 87 ex_fr_female$Type: Observed Year: 1860 Ex: 3.400000","Age: 87 ex_fr_female$Type: Observed Year: 1861 Ex: 3.360000","Age: 87 ex_fr_female$Type: Observed Year: 1862 Ex: 3.380000","Age: 87 ex_fr_female$Type: Observed Year: 1863 Ex: 3.410000","Age: 87 ex_fr_female$Type: Observed Year: 1864 Ex: 3.300000","Age: 87 ex_fr_female$Type: Observed Year: 1865 Ex: 3.180000","Age: 87 ex_fr_female$Type: Observed Year: 1866 Ex: 3.390000","Age: 87 ex_fr_female$Type: Observed Year: 1867 Ex: 3.320000","Age: 87 ex_fr_female$Type: Observed Year: 1868 Ex: 3.250000","Age: 87 ex_fr_female$Type: Observed Year: 1869 Ex: 3.270000","Age: 87 ex_fr_female$Type: Observed Year: 1870 Ex: 2.960000","Age: 87 ex_fr_female$Type: Observed Year: 1871 Ex: 2.820000","Age: 87 ex_fr_female$Type: Observed Year: 1872 Ex: 3.620000","Age: 87 ex_fr_female$Type: Observed Year: 1873 Ex: 3.280000","Age: 87 ex_fr_female$Type: Observed Year: 1874 Ex: 3.430000","Age: 87 ex_fr_female$Type: Observed Year: 1875 Ex: 3.190000","Age: 87 ex_fr_female$Type: Observed Year: 1876 Ex: 3.310000","Age: 87 ex_fr_female$Type: Observed Year: 1877 Ex: 3.360000","Age: 87 ex_fr_female$Type: Observed Year: 1878 Ex: 3.190000","Age: 87 ex_fr_female$Type: Observed Year: 1879 Ex: 2.980000","Age: 87 ex_fr_female$Type: Observed Year: 1880 Ex: 3.310000","Age: 87 ex_fr_female$Type: Observed Year: 1881 Ex: 3.530000","Age: 87 ex_fr_female$Type: Observed Year: 1882 Ex: 3.490000","Age: 87 ex_fr_female$Type: Observed Year: 1883 Ex: 3.260000","Age: 87 ex_fr_female$Type: Observed Year: 1884 Ex: 3.380000","Age: 87 ex_fr_female$Type: Observed Year: 1885 Ex: 3.340000","Age: 87 ex_fr_female$Type: Observed Year: 1886 Ex: 3.300000","Age: 87 ex_fr_female$Type: Observed Year: 1887 Ex: 3.350000","Age: 87 ex_fr_female$Type: Observed Year: 1888 Ex: 3.260000","Age: 87 ex_fr_female$Type: Observed Year: 1889 Ex: 3.450000","Age: 87 ex_fr_female$Type: Observed Year: 1890 Ex: 3.130000","Age: 87 ex_fr_female$Type: Observed Year: 1891 Ex: 2.970000","Age: 87 ex_fr_female$Type: Observed Year: 1892 Ex: 2.940000","Age: 87 ex_fr_female$Type: Observed Year: 1893 Ex: 2.970000","Age: 87 ex_fr_female$Type: Observed Year: 1894 Ex: 3.080000","Age: 87 ex_fr_female$Type: Observed Year: 1895 Ex: 2.880000","Age: 87 ex_fr_female$Type: Observed Year: 1896 Ex: 3.330000","Age: 87 ex_fr_female$Type: Observed Year: 1897 Ex: 3.450000","Age: 87 ex_fr_female$Type: Observed Year: 1898 Ex: 3.180000","Age: 87 ex_fr_female$Type: Observed Year: 1899 Ex: 3.060000","Age: 87 ex_fr_female$Type: Observed Year: 1900 Ex: 2.930000","Age: 87 ex_fr_female$Type: Observed Year: 1901 Ex: 3.140000","Age: 87 ex_fr_female$Type: Observed Year: 1902 Ex: 3.240000","Age: 87 ex_fr_female$Type: Observed Year: 1903 Ex: 3.220000","Age: 87 ex_fr_female$Type: Observed Year: 1904 Ex: 3.120000","Age: 87 ex_fr_female$Type: Observed Year: 1905 Ex: 3.030000","Age: 87 ex_fr_female$Type: Observed Year: 1906 Ex: 3.030000","Age: 87 ex_fr_female$Type: Observed Year: 1907 Ex: 3.030000","Age: 87 ex_fr_female$Type: Observed Year: 1908 Ex: 3.230000","Age: 87 ex_fr_female$Type: Observed Year: 1909 Ex: 3.090000","Age: 87 ex_fr_female$Type: Observed Year: 1910 Ex: 3.310000","Age: 87 ex_fr_female$Type: Observed Year: 1911 Ex: 2.960000","Age: 87 ex_fr_female$Type: Observed Year: 1912 Ex: 3.410000","Age: 87 ex_fr_female$Type: Observed Year: 1913 Ex: 3.390000","Age: 87 ex_fr_female$Type: Observed Year: 1914 Ex: 3.020000","Age: 87 ex_fr_female$Type: Observed Year: 1915 Ex: 3.130000","Age: 87 ex_fr_female$Type: Observed Year: 1916 Ex: 3.060000","Age: 87 ex_fr_female$Type: Observed Year: 1917 Ex: 2.920000","Age: 87 ex_fr_female$Type: Observed Year: 1918 Ex: 3.020000","Age: 87 ex_fr_female$Type: Observed Year: 1919 Ex: 2.920000","Age: 87 ex_fr_female$Type: Observed Year: 1920 Ex: 3.390000","Age: 87 ex_fr_female$Type: Observed Year: 1921 Ex: 3.290000","Age: 87 ex_fr_female$Type: Observed Year: 1922 Ex: 3.130000","Age: 87 ex_fr_female$Type: Observed Year: 1923 Ex: 3.370000","Age: 87 ex_fr_female$Type: Observed Year: 1924 Ex: 3.300000","Age: 87 ex_fr_female$Type: Observed Year: 1925 Ex: 3.130000","Age: 87 ex_fr_female$Type: Observed Year: 1926 Ex: 3.230000","Age: 87 ex_fr_female$Type: Observed Year: 1927 Ex: 3.180000","Age: 87 ex_fr_female$Type: Observed Year: 1928 Ex: 3.300000","Age: 87 ex_fr_female$Type: Observed Year: 1929 Ex: 2.940000","Age: 87 ex_fr_female$Type: Observed Year: 1930 Ex: 3.630000","Age: 87 ex_fr_female$Type: Observed Year: 1931 Ex: 3.180000","Age: 87 ex_fr_female$Type: Observed Year: 1932 Ex: 3.350000","Age: 87 ex_fr_female$Type: Observed Year: 1933 Ex: 3.260000","Age: 87 ex_fr_female$Type: Observed Year: 1934 Ex: 3.610000","Age: 87 ex_fr_female$Type: Observed Year: 1935 Ex: 3.360000","Age: 87 ex_fr_female$Type: Observed Year: 1936 Ex: 3.490000","Age: 87 ex_fr_female$Type: Observed Year: 1937 Ex: 3.580000","Age: 87 ex_fr_female$Type: Observed Year: 1938 Ex: 3.430000","Age: 87 ex_fr_female$Type: Observed Year: 1939 Ex: 3.370000","Age: 87 ex_fr_female$Type: Observed Year: 1940 Ex: 2.680000","Age: 87 ex_fr_female$Type: Observed Year: 1941 Ex: 3.130000","Age: 87 ex_fr_female$Type: Observed Year: 1942 Ex: 3.110000","Age: 87 ex_fr_female$Type: Observed Year: 1943 Ex: 3.220000","Age: 87 ex_fr_female$Type: Observed Year: 1944 Ex: 2.900000","Age: 87 ex_fr_female$Type: Observed Year: 1945 Ex: 3.210000","Age: 87 ex_fr_female$Type: Observed Year: 1946 Ex: 3.700000","Age: 87 ex_fr_female$Type: Observed Year: 1947 Ex: 3.830000","Age: 87 ex_fr_female$Type: Observed Year: 1948 Ex: 4.130000","Age: 87 ex_fr_female$Type: Observed Year: 1949 Ex: 3.510000","Age: 87 ex_fr_female$Type: Observed Year: 1950 Ex: 3.830000","Age: 87 ex_fr_female$Type: Observed Year: 1951 Ex: 3.500000","Age: 87 ex_fr_female$Type: Observed Year: 1952 Ex: 3.860000","Age: 87 ex_fr_female$Type: Observed Year: 1953 Ex: 3.520000","Age: 87 ex_fr_female$Type: Observed Year: 1954 Ex: 3.940000","Age: 87 ex_fr_female$Type: Observed Year: 1955 Ex: 3.840000","Age: 87 ex_fr_female$Type: Observed Year: 1956 Ex: 3.640000","Age: 87 ex_fr_female$Type: Observed Year: 1957 Ex: 3.840000","Age: 87 ex_fr_female$Type: Observed Year: 1958 Ex: 4.000000","Age: 87 ex_fr_female$Type: Observed Year: 1959 Ex: 4.040000","Age: 87 ex_fr_female$Type: Observed Year: 1960 Ex: 3.940000","Age: 87 ex_fr_female$Type: Observed Year: 1961 Ex: 4.230000","Age: 87 ex_fr_female$Type: Observed Year: 1962 Ex: 3.920000","Age: 87 ex_fr_female$Type: Observed Year: 1963 Ex: 3.860000","Age: 87 ex_fr_female$Type: Observed Year: 1964 Ex: 4.240000","Age: 87 ex_fr_female$Type: Observed Year: 1965 Ex: 4.100000","Age: 87 ex_fr_female$Type: Observed Year: 1966 Ex: 4.280000","Age: 87 ex_fr_female$Type: Observed Year: 1967 Ex: 4.210000","Age: 87 ex_fr_female$Type: Observed Year: 1968 Ex: 4.170000","Age: 87 ex_fr_female$Type: Observed Year: 1969 Ex: 4.250000","Age: 87 ex_fr_female$Type: Observed Year: 1970 Ex: 4.340000","Age: 87 ex_fr_female$Type: Observed Year: 1971 Ex: 4.230000","Age: 87 ex_fr_female$Type: Observed Year: 1972 Ex: 4.440000","Age: 87 ex_fr_female$Type: Observed Year: 1973 Ex: 4.330000","Age: 87 ex_fr_female$Type: Observed Year: 1974 Ex: 4.390000","Age: 87 ex_fr_female$Type: Observed Year: 1975 Ex: 4.400000","Age: 87 ex_fr_female$Type: Observed Year: 1976 Ex: 4.420000","Age: 87 ex_fr_female$Type: Observed Year: 1977 Ex: 4.690000","Age: 87 ex_fr_female$Type: Observed Year: 1978 Ex: 4.630000","Age: 87 ex_fr_female$Type: Observed Year: 1979 Ex: 4.710000","Age: 87 ex_fr_female$Type: Observed Year: 1980 Ex: 4.670000","Age: 87 ex_fr_female$Type: Observed Year: 1981 Ex: 4.620000","Age: 87 ex_fr_female$Type: Observed Year: 1982 Ex: 4.790000","Age: 87 ex_fr_female$Type: Observed Year: 1983 Ex: 4.630000","Age: 87 ex_fr_female$Type: Observed Year: 1984 Ex: 4.860000","Age: 87 ex_fr_female$Type: Observed Year: 1985 Ex: 4.810000","Age: 87 ex_fr_female$Type: Observed Year: 1986 Ex: 4.870000","Age: 87 ex_fr_female$Type: Observed Year: 1987 Ex: 5.120000","Age: 87 ex_fr_female$Type: Observed Year: 1988 Ex: 5.200000","Age: 87 ex_fr_female$Type: Observed Year: 1989 Ex: 5.150000","Age: 87 ex_fr_female$Type: Observed Year: 1990 Ex: 5.220000","Age: 87 ex_fr_female$Type: Observed Year: 1991 Ex: 5.340000","Age: 87 ex_fr_female$Type: Observed Year: 1992 Ex: 5.430000","Age: 87 ex_fr_female$Type: Observed Year: 1993 Ex: 5.380000","Age: 87 ex_fr_female$Type: Observed Year: 1994 Ex: 5.620000","Age: 87 ex_fr_female$Type: Observed Year: 1995 Ex: 5.540000","Age: 87 ex_fr_female$Type: Observed Year: 1996 Ex: 5.540000","Age: 87 ex_fr_female$Type: Observed Year: 1997 Ex: 5.610000","Age: 87 ex_fr_female$Type: Observed Year: 1998 Ex: 5.630000","Age: 87 ex_fr_female$Type: Observed Year: 1999 Ex: 5.610000","Age: 87 ex_fr_female$Type: Observed Year: 2000 Ex: 5.720000","Age: 87 ex_fr_female$Type: Observed Year: 2001 Ex: 5.800000","Age: 87 ex_fr_female$Type: Observed Year: 2002 Ex: 5.780000","Age: 87 ex_fr_female$Type: Observed Year: 2003 Ex: 5.590000","Age: 87 ex_fr_female$Type: Observed Year: 2004 Ex: 6.190000","Age: 87 ex_fr_female$Type: Observed Year: 2005 Ex: 6.040000","Age: 87 ex_fr_female$Type: Observed Year: 2006 Ex: 6.280000","Age: 87 ex_fr_female$Type: Observed Year: 2007 Ex: 6.290000","Age: 87 ex_fr_female$Type: Observed Year: 2008 Ex: 6.270000","Age: 87 ex_fr_female$Type: Observed Year: 2009 Ex: 6.290000","Age: 87 ex_fr_female$Type: Observed Year: 2010 Ex: 6.380000","Age: 87 ex_fr_female$Type: Observed Year: 2011 Ex: 6.530000","Age: 87 ex_fr_female$Type: Observed Year: 2012 Ex: 6.340000","Age: 87 ex_fr_female$Type: Observed Year: 2013 Ex: 6.440000","Age: 87 ex_fr_female$Type: Observed Year: 2014 Ex: 6.670000","Age: 87 ex_fr_female$Type: Observed Year: 2015 Ex: 6.400000","Age: 87 ex_fr_female$Type: Observed Year: 2016 Ex: 6.530000","Age: 87 ex_fr_female$Type: Observed Year: 2017 Ex: 6.450000"],"frame":"87","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[4.59561742809383,4.61140810948188,4.608621055818,4.59292232608081,4.38320494785982,4.78109382163239,4.42801385244321,4.39897159923924,4.85610246651195,4.54838929006031,4.193107638782,4.65553014229313,4.61099586154238,4.26880962910682,4.37046434942375,4.27230838236675,4.14876313151263,4.51951028329878,4.43219103235653,4.36697095554536,4.40225978223897,3.92538635942626,4.3852905800055,4.64472136493409,4.12853551438367,4.31263975512238,4.20661780796846,4.21063287939644,4.2715074279392,4.40024284539837,4.04582481879213,3.77510686557498,4.034934938168,3.9705403299222,4.22083440135569,3.9096660906939,3.98488191669153,3.67065561922409,3.57297659361477,3.37303455292527,3.71155536968525,3.67554995916431,3.5147152541964,3.59339597361201,3.83158161190061,3.79801507489991,3.82418107371353,3.84263700425505,3.74339287674696,3.61860182375099,3.83046726928378,3.75583389391869,3.68111954101833,3.70560358048358,3.40017274145768,3.26995992590179,4.04968785436617,3.71551581140954,3.85700516233262,3.62219971171456,3.73708317346579,3.77989035051868,3.62546553638828,3.41625819984236,3.74579283306696,3.95840152348358,3.91550545233348,3.68452702338519,3.80240642472107,3.75964588388339,3.72418628009276,3.77924564442205,3.69384655156,3.88215688754962,3.56653563980577,3.39758962627091,3.36941133428482,3.40382515944377,3.50589315540998,3.30958656471598,3.75187079741592,3.879745517162,3.61500267410473,3.48508958207783,3.37116307126915,3.56491003847989,3.662129952679,3.66052717052898,3.55700390522379,3.44877688909652,3.46502191809333,3.46028604366077,3.65559369218522,3.51941758194369,3.72913735044394,3.38775352065977,3.8334480115888,3.81069220209018,3.45384240171652,3.5626670731043,3.4910292773226,3.3490642235675,3.45248937901043,3.35329922532805,3.81446628512766,3.70929928716367,3.55222494447829,3.79273080607916,3.72667203952728,3.54929762421011,3.64957480057862,3.60660588657163,3.71895099266407,3.37085454295139,4.04974023377154,3.60147958002193,3.76121668693654,3.68268126875833,4.02700576124289,3.78272789559182,3.90343746611422,3.98607231962353,3.84841414745583,3.7885250308164,3.10526471500196,3.55389035738,3.53081038942954,3.64321678318513,3.32995035713211,3.63110837671962,4.10634044676136,4.23766795548866,4.53402859795716,3.92038727341,4.23767203915997,3.90899834757082,4.26787192279804,3.9271374286162,4.33834612829858,4.24561094182904,4.05073276321691,4.24279575897489,4.39954672595043,4.43628124581029,4.33750056497794,4.62036045702214,4.31836538812175,4.25762043117467,4.63950323871631,4.49848724884026,4.67435996706967,4.61005187372446,4.56001936689615,4.64754027111965,4.72805605712861,4.6219555450412,4.83118097484179,4.72176216554741,4.78276940639136,4.78653935233341,4.80406432522123,5.07059511518393,5.01111925011037,5.09655341975908,5.05022775507737,4.99971818811535,5.17173015568033,5.01118635349079,5.23824960757457,5.18285121510966,5.24101777369564,5.4933443069159,5.56631105394117,5.51567688919323,5.58169092497987,5.70002659245515,5.79176510814336,5.7454699891369,5.98308195092688,5.89844049271108,5.89800203292566,5.96632034452579,5.98929740511253,5.96838518311405,6.07748983791016,6.15279921210352,6.13782289424022,5.94327552736321,6.53337494151387,6.3887203626999,6.6256300017956,6.63899906613229,6.61758219698845,6.6294345500009,6.71829219084489,6.87326914732124,6.67781946259082,6.77944930774408,7.00295522664082,6.7385424953682,6.87063574741182,6.78908959986576],"text":["Age: 87 ex_fr_female$Type: Predicted Year: 1816 Ex: 4.595617","Age: 87 ex_fr_female$Type: Predicted Year: 1817 Ex: 4.611408","Age: 87 ex_fr_female$Type: Predicted Year: 1818 Ex: 4.608621","Age: 87 ex_fr_female$Type: Predicted Year: 1819 Ex: 4.592922","Age: 87 ex_fr_female$Type: Predicted Year: 1820 Ex: 4.383205","Age: 87 ex_fr_female$Type: Predicted Year: 1821 Ex: 4.781094","Age: 87 ex_fr_female$Type: Predicted Year: 1822 Ex: 4.428014","Age: 87 ex_fr_female$Type: Predicted Year: 1823 Ex: 4.398972","Age: 87 ex_fr_female$Type: Predicted Year: 1824 Ex: 4.856102","Age: 87 ex_fr_female$Type: Predicted Year: 1825 Ex: 4.548389","Age: 87 ex_fr_female$Type: Predicted Year: 1826 Ex: 4.193108","Age: 87 ex_fr_female$Type: Predicted Year: 1827 Ex: 4.655530","Age: 87 ex_fr_female$Type: Predicted Year: 1828 Ex: 4.610996","Age: 87 ex_fr_female$Type: Predicted Year: 1829 Ex: 4.268810","Age: 87 ex_fr_female$Type: Predicted Year: 1830 Ex: 4.370464","Age: 87 ex_fr_female$Type: Predicted Year: 1831 Ex: 4.272308","Age: 87 ex_fr_female$Type: Predicted Year: 1832 Ex: 4.148763","Age: 87 ex_fr_female$Type: Predicted Year: 1833 Ex: 4.519510","Age: 87 ex_fr_female$Type: Predicted Year: 1834 Ex: 4.432191","Age: 87 ex_fr_female$Type: Predicted Year: 1835 Ex: 4.366971","Age: 87 ex_fr_female$Type: Predicted Year: 1836 Ex: 4.402260","Age: 87 ex_fr_female$Type: Predicted Year: 1837 Ex: 3.925386","Age: 87 ex_fr_female$Type: Predicted Year: 1838 Ex: 4.385291","Age: 87 ex_fr_female$Type: Predicted Year: 1839 Ex: 4.644721","Age: 87 ex_fr_female$Type: Predicted Year: 1840 Ex: 4.128536","Age: 87 ex_fr_female$Type: Predicted Year: 1841 Ex: 4.312640","Age: 87 ex_fr_female$Type: Predicted Year: 1842 Ex: 4.206618","Age: 87 ex_fr_female$Type: Predicted Year: 1843 Ex: 4.210633","Age: 87 ex_fr_female$Type: Predicted Year: 1844 Ex: 4.271507","Age: 87 ex_fr_female$Type: Predicted Year: 1845 Ex: 4.400243","Age: 87 ex_fr_female$Type: Predicted Year: 1846 Ex: 4.045825","Age: 87 ex_fr_female$Type: Predicted Year: 1847 Ex: 3.775107","Age: 87 ex_fr_female$Type: Predicted Year: 1848 Ex: 4.034935","Age: 87 ex_fr_female$Type: Predicted Year: 1849 Ex: 3.970540","Age: 87 ex_fr_female$Type: Predicted Year: 1850 Ex: 4.220834","Age: 87 ex_fr_female$Type: Predicted Year: 1851 Ex: 3.909666","Age: 87 ex_fr_female$Type: Predicted Year: 1852 Ex: 3.984882","Age: 87 ex_fr_female$Type: Predicted Year: 1853 Ex: 3.670656","Age: 87 ex_fr_female$Type: Predicted Year: 1854 Ex: 3.572977","Age: 87 ex_fr_female$Type: Predicted Year: 1855 Ex: 3.373035","Age: 87 ex_fr_female$Type: Predicted Year: 1856 Ex: 3.711555","Age: 87 ex_fr_female$Type: Predicted Year: 1857 Ex: 3.675550","Age: 87 ex_fr_female$Type: Predicted Year: 1858 Ex: 3.514715","Age: 87 ex_fr_female$Type: Predicted Year: 1859 Ex: 3.593396","Age: 87 ex_fr_female$Type: Predicted Year: 1860 Ex: 3.831582","Age: 87 ex_fr_female$Type: Predicted Year: 1861 Ex: 3.798015","Age: 87 ex_fr_female$Type: Predicted Year: 1862 Ex: 3.824181","Age: 87 ex_fr_female$Type: Predicted Year: 1863 Ex: 3.842637","Age: 87 ex_fr_female$Type: Predicted Year: 1864 Ex: 3.743393","Age: 87 ex_fr_female$Type: Predicted Year: 1865 Ex: 3.618602","Age: 87 ex_fr_female$Type: Predicted Year: 1866 Ex: 3.830467","Age: 87 ex_fr_female$Type: Predicted Year: 1867 Ex: 3.755834","Age: 87 ex_fr_female$Type: Predicted Year: 1868 Ex: 3.681120","Age: 87 ex_fr_female$Type: Predicted Year: 1869 Ex: 3.705604","Age: 87 ex_fr_female$Type: Predicted Year: 1870 Ex: 3.400173","Age: 87 ex_fr_female$Type: Predicted Year: 1871 Ex: 3.269960","Age: 87 ex_fr_female$Type: Predicted Year: 1872 Ex: 4.049688","Age: 87 ex_fr_female$Type: Predicted Year: 1873 Ex: 3.715516","Age: 87 ex_fr_female$Type: Predicted Year: 1874 Ex: 3.857005","Age: 87 ex_fr_female$Type: Predicted Year: 1875 Ex: 3.622200","Age: 87 ex_fr_female$Type: Predicted Year: 1876 Ex: 3.737083","Age: 87 ex_fr_female$Type: Predicted Year: 1877 Ex: 3.779890","Age: 87 ex_fr_female$Type: Predicted Year: 1878 Ex: 3.625466","Age: 87 ex_fr_female$Type: Predicted Year: 1879 Ex: 3.416258","Age: 87 ex_fr_female$Type: Predicted Year: 1880 Ex: 3.745793","Age: 87 ex_fr_female$Type: Predicted Year: 1881 Ex: 3.958402","Age: 87 ex_fr_female$Type: Predicted Year: 1882 Ex: 3.915505","Age: 87 ex_fr_female$Type: Predicted Year: 1883 Ex: 3.684527","Age: 87 ex_fr_female$Type: Predicted Year: 1884 Ex: 3.802406","Age: 87 ex_fr_female$Type: Predicted Year: 1885 Ex: 3.759646","Age: 87 ex_fr_female$Type: Predicted Year: 1886 Ex: 3.724186","Age: 87 ex_fr_female$Type: Predicted Year: 1887 Ex: 3.779246","Age: 87 ex_fr_female$Type: Predicted Year: 1888 Ex: 3.693847","Age: 87 ex_fr_female$Type: Predicted Year: 1889 Ex: 3.882157","Age: 87 ex_fr_female$Type: Predicted Year: 1890 Ex: 3.566536","Age: 87 ex_fr_female$Type: Predicted Year: 1891 Ex: 3.397590","Age: 87 ex_fr_female$Type: Predicted Year: 1892 Ex: 3.369411","Age: 87 ex_fr_female$Type: Predicted Year: 1893 Ex: 3.403825","Age: 87 ex_fr_female$Type: Predicted Year: 1894 Ex: 3.505893","Age: 87 ex_fr_female$Type: Predicted Year: 1895 Ex: 3.309587","Age: 87 ex_fr_female$Type: Predicted Year: 1896 Ex: 3.751871","Age: 87 ex_fr_female$Type: Predicted Year: 1897 Ex: 3.879746","Age: 87 ex_fr_female$Type: Predicted Year: 1898 Ex: 3.615003","Age: 87 ex_fr_female$Type: Predicted Year: 1899 Ex: 3.485090","Age: 87 ex_fr_female$Type: Predicted Year: 1900 Ex: 3.371163","Age: 87 ex_fr_female$Type: Predicted Year: 1901 Ex: 3.564910","Age: 87 ex_fr_female$Type: Predicted Year: 1902 Ex: 3.662130","Age: 87 ex_fr_female$Type: Predicted Year: 1903 Ex: 3.660527","Age: 87 ex_fr_female$Type: Predicted Year: 1904 Ex: 3.557004","Age: 87 ex_fr_female$Type: Predicted Year: 1905 Ex: 3.448777","Age: 87 ex_fr_female$Type: Predicted Year: 1906 Ex: 3.465022","Age: 87 ex_fr_female$Type: Predicted Year: 1907 Ex: 3.460286","Age: 87 ex_fr_female$Type: Predicted Year: 1908 Ex: 3.655594","Age: 87 ex_fr_female$Type: Predicted Year: 1909 Ex: 3.519418","Age: 87 ex_fr_female$Type: Predicted Year: 1910 Ex: 3.729137","Age: 87 ex_fr_female$Type: Predicted Year: 1911 Ex: 3.387754","Age: 87 ex_fr_female$Type: Predicted Year: 1912 Ex: 3.833448","Age: 87 ex_fr_female$Type: Predicted Year: 1913 Ex: 3.810692","Age: 87 ex_fr_female$Type: Predicted Year: 1914 Ex: 3.453842","Age: 87 ex_fr_female$Type: Predicted Year: 1915 Ex: 3.562667","Age: 87 ex_fr_female$Type: Predicted Year: 1916 Ex: 3.491029","Age: 87 ex_fr_female$Type: Predicted Year: 1917 Ex: 3.349064","Age: 87 ex_fr_female$Type: Predicted Year: 1918 Ex: 3.452489","Age: 87 ex_fr_female$Type: Predicted Year: 1919 Ex: 3.353299","Age: 87 ex_fr_female$Type: Predicted Year: 1920 Ex: 3.814466","Age: 87 ex_fr_female$Type: Predicted Year: 1921 Ex: 3.709299","Age: 87 ex_fr_female$Type: Predicted Year: 1922 Ex: 3.552225","Age: 87 ex_fr_female$Type: Predicted Year: 1923 Ex: 3.792731","Age: 87 ex_fr_female$Type: Predicted Year: 1924 Ex: 3.726672","Age: 87 ex_fr_female$Type: Predicted Year: 1925 Ex: 3.549298","Age: 87 ex_fr_female$Type: Predicted Year: 1926 Ex: 3.649575","Age: 87 ex_fr_female$Type: Predicted Year: 1927 Ex: 3.606606","Age: 87 ex_fr_female$Type: Predicted Year: 1928 Ex: 3.718951","Age: 87 ex_fr_female$Type: Predicted Year: 1929 Ex: 3.370855","Age: 87 ex_fr_female$Type: Predicted Year: 1930 Ex: 4.049740","Age: 87 ex_fr_female$Type: Predicted Year: 1931 Ex: 3.601480","Age: 87 ex_fr_female$Type: Predicted Year: 1932 Ex: 3.761217","Age: 87 ex_fr_female$Type: Predicted Year: 1933 Ex: 3.682681","Age: 87 ex_fr_female$Type: Predicted Year: 1934 Ex: 4.027006","Age: 87 ex_fr_female$Type: Predicted Year: 1935 Ex: 3.782728","Age: 87 ex_fr_female$Type: Predicted Year: 1936 Ex: 3.903437","Age: 87 ex_fr_female$Type: Predicted Year: 1937 Ex: 3.986072","Age: 87 ex_fr_female$Type: Predicted Year: 1938 Ex: 3.848414","Age: 87 ex_fr_female$Type: Predicted Year: 1939 Ex: 3.788525","Age: 87 ex_fr_female$Type: Predicted Year: 1940 Ex: 3.105265","Age: 87 ex_fr_female$Type: Predicted Year: 1941 Ex: 3.553890","Age: 87 ex_fr_female$Type: Predicted Year: 1942 Ex: 3.530810","Age: 87 ex_fr_female$Type: Predicted Year: 1943 Ex: 3.643217","Age: 87 ex_fr_female$Type: Predicted Year: 1944 Ex: 3.329950","Age: 87 ex_fr_female$Type: Predicted Year: 1945 Ex: 3.631108","Age: 87 ex_fr_female$Type: Predicted Year: 1946 Ex: 4.106340","Age: 87 ex_fr_female$Type: Predicted Year: 1947 Ex: 4.237668","Age: 87 ex_fr_female$Type: Predicted Year: 1948 Ex: 4.534029","Age: 87 ex_fr_female$Type: Predicted Year: 1949 Ex: 3.920387","Age: 87 ex_fr_female$Type: Predicted Year: 1950 Ex: 4.237672","Age: 87 ex_fr_female$Type: Predicted Year: 1951 Ex: 3.908998","Age: 87 ex_fr_female$Type: Predicted Year: 1952 Ex: 4.267872","Age: 87 ex_fr_female$Type: Predicted Year: 1953 Ex: 3.927137","Age: 87 ex_fr_female$Type: Predicted Year: 1954 Ex: 4.338346","Age: 87 ex_fr_female$Type: Predicted Year: 1955 Ex: 4.245611","Age: 87 ex_fr_female$Type: Predicted Year: 1956 Ex: 4.050733","Age: 87 ex_fr_female$Type: Predicted Year: 1957 Ex: 4.242796","Age: 87 ex_fr_female$Type: Predicted Year: 1958 Ex: 4.399547","Age: 87 ex_fr_female$Type: Predicted Year: 1959 Ex: 4.436281","Age: 87 ex_fr_female$Type: Predicted Year: 1960 Ex: 4.337501","Age: 87 ex_fr_female$Type: Predicted Year: 1961 Ex: 4.620360","Age: 87 ex_fr_female$Type: Predicted Year: 1962 Ex: 4.318365","Age: 87 ex_fr_female$Type: Predicted Year: 1963 Ex: 4.257620","Age: 87 ex_fr_female$Type: Predicted Year: 1964 Ex: 4.639503","Age: 87 ex_fr_female$Type: Predicted Year: 1965 Ex: 4.498487","Age: 87 ex_fr_female$Type: Predicted Year: 1966 Ex: 4.674360","Age: 87 ex_fr_female$Type: Predicted Year: 1967 Ex: 4.610052","Age: 87 ex_fr_female$Type: Predicted Year: 1968 Ex: 4.560019","Age: 87 ex_fr_female$Type: Predicted Year: 1969 Ex: 4.647540","Age: 87 ex_fr_female$Type: Predicted Year: 1970 Ex: 4.728056","Age: 87 ex_fr_female$Type: Predicted Year: 1971 Ex: 4.621956","Age: 87 ex_fr_female$Type: Predicted Year: 1972 Ex: 4.831181","Age: 87 ex_fr_female$Type: Predicted Year: 1973 Ex: 4.721762","Age: 87 ex_fr_female$Type: Predicted Year: 1974 Ex: 4.782769","Age: 87 ex_fr_female$Type: Predicted Year: 1975 Ex: 4.786539","Age: 87 ex_fr_female$Type: Predicted Year: 1976 Ex: 4.804064","Age: 87 ex_fr_female$Type: Predicted Year: 1977 Ex: 5.070595","Age: 87 ex_fr_female$Type: Predicted Year: 1978 Ex: 5.011119","Age: 87 ex_fr_female$Type: Predicted Year: 1979 Ex: 5.096553","Age: 87 ex_fr_female$Type: Predicted Year: 1980 Ex: 5.050228","Age: 87 ex_fr_female$Type: Predicted Year: 1981 Ex: 4.999718","Age: 87 ex_fr_female$Type: Predicted Year: 1982 Ex: 5.171730","Age: 87 ex_fr_female$Type: Predicted Year: 1983 Ex: 5.011186","Age: 87 ex_fr_female$Type: Predicted Year: 1984 Ex: 5.238250","Age: 87 ex_fr_female$Type: Predicted Year: 1985 Ex: 5.182851","Age: 87 ex_fr_female$Type: Predicted Year: 1986 Ex: 5.241018","Age: 87 ex_fr_female$Type: Predicted Year: 1987 Ex: 5.493344","Age: 87 ex_fr_female$Type: Predicted Year: 1988 Ex: 5.566311","Age: 87 ex_fr_female$Type: Predicted Year: 1989 Ex: 5.515677","Age: 87 ex_fr_female$Type: Predicted Year: 1990 Ex: 5.581691","Age: 87 ex_fr_female$Type: Predicted Year: 1991 Ex: 5.700027","Age: 87 ex_fr_female$Type: Predicted Year: 1992 Ex: 5.791765","Age: 87 ex_fr_female$Type: Predicted Year: 1993 Ex: 5.745470","Age: 87 ex_fr_female$Type: Predicted Year: 1994 Ex: 5.983082","Age: 87 ex_fr_female$Type: Predicted Year: 1995 Ex: 5.898440","Age: 87 ex_fr_female$Type: Predicted Year: 1996 Ex: 5.898002","Age: 87 ex_fr_female$Type: Predicted Year: 1997 Ex: 5.966320","Age: 87 ex_fr_female$Type: Predicted Year: 1998 Ex: 5.989297","Age: 87 ex_fr_female$Type: Predicted Year: 1999 Ex: 5.968385","Age: 87 ex_fr_female$Type: Predicted Year: 2000 Ex: 6.077490","Age: 87 ex_fr_female$Type: Predicted Year: 2001 Ex: 6.152799","Age: 87 ex_fr_female$Type: Predicted Year: 2002 Ex: 6.137823","Age: 87 ex_fr_female$Type: Predicted Year: 2003 Ex: 5.943276","Age: 87 ex_fr_female$Type: Predicted Year: 2004 Ex: 6.533375","Age: 87 ex_fr_female$Type: Predicted Year: 2005 Ex: 6.388720","Age: 87 ex_fr_female$Type: Predicted Year: 2006 Ex: 6.625630","Age: 87 ex_fr_female$Type: Predicted Year: 2007 Ex: 6.638999","Age: 87 ex_fr_female$Type: Predicted Year: 2008 Ex: 6.617582","Age: 87 ex_fr_female$Type: Predicted Year: 2009 Ex: 6.629435","Age: 87 ex_fr_female$Type: Predicted Year: 2010 Ex: 6.718292","Age: 87 ex_fr_female$Type: Predicted Year: 2011 Ex: 6.873269","Age: 87 ex_fr_female$Type: Predicted Year: 2012 Ex: 6.677819","Age: 87 ex_fr_female$Type: Predicted Year: 2013 Ex: 6.779449","Age: 87 ex_fr_female$Type: Predicted Year: 2014 Ex: 7.002955","Age: 87 ex_fr_female$Type: Predicted Year: 2015 Ex: 6.738542","Age: 87 ex_fr_female$Type: Predicted Year: 2016 Ex: 6.870636","Age: 87 ex_fr_female$Type: Predicted Year: 2017 Ex: 6.789090"],"frame":"87","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"88","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[4.06,4.03,4.03,4.05,3.85,4.25,3.91,3.84,4.28,3.98,3.63,4.1,4.09,3.74,3.85,3.74,3.63,3.98,3.89,3.81,3.84,3.39,3.85,4.09,3.61,3.75,3.65,3.67,3.72,3.85,3.49,3.26,3.49,3.43,3.67,3.35,3.41,3.1,3,2.79,3.15,3.12,2.96,3.03,3.23,3.21,3.24,3.26,3.17,3.05,3.26,3.19,3.1,3.12,2.84,2.71,3.47,3.14,3.26,3.03,3.15,3.18,3.06,2.83,3.17,3.37,3.31,3.07,3.19,3.15,3.13,3.2,3.11,3.29,2.97,2.77,2.76,2.8,2.88,2.7,3.15,3.27,3.02,2.9,2.78,2.94,3.03,3.06,2.97,2.84,2.89,2.86,3.04,2.9,3.12,2.79,3.21,3.18,2.86,2.95,2.89,2.74,2.84,2.75,3.18,3.08,2.96,3.19,3.1,2.9,3.06,3.04,3.07,2.75,3.42,2.99,3.11,3.04,3.41,3.17,3.3,3.34,3.21,3.15,2.49,2.94,2.92,3.05,2.73,3,3.47,3.6,3.88,3.29,3.6,3.27,3.61,3.3,3.68,3.6,3.41,3.58,3.74,3.76,3.69,3.95,3.67,3.6,3.96,3.82,4.01,3.94,3.87,3.99,4.04,3.94,4.15,4.05,4.1,4.09,4.1,4.36,4.32,4.4,4.34,4.3,4.46,4.29,4.52,4.46,4.52,4.75,4.82,4.76,4.83,4.95,5.03,4.99,5.2,5.13,5.11,5.18,5.21,5.18,5.29,5.35,5.34,5.16,5.73,5.58,5.81,5.82,5.79,5.81,5.88,6.04,5.85,5.94,6.17,5.89,6.01,5.93],"text":["Age: 88 ex_fr_female$Type: Observed Year: 1816 Ex: 4.060000","Age: 88 ex_fr_female$Type: Observed Year: 1817 Ex: 4.030000","Age: 88 ex_fr_female$Type: Observed Year: 1818 Ex: 4.030000","Age: 88 ex_fr_female$Type: Observed Year: 1819 Ex: 4.050000","Age: 88 ex_fr_female$Type: Observed Year: 1820 Ex: 3.850000","Age: 88 ex_fr_female$Type: Observed Year: 1821 Ex: 4.250000","Age: 88 ex_fr_female$Type: Observed Year: 1822 Ex: 3.910000","Age: 88 ex_fr_female$Type: Observed Year: 1823 Ex: 3.840000","Age: 88 ex_fr_female$Type: Observed Year: 1824 Ex: 4.280000","Age: 88 ex_fr_female$Type: Observed Year: 1825 Ex: 3.980000","Age: 88 ex_fr_female$Type: Observed Year: 1826 Ex: 3.630000","Age: 88 ex_fr_female$Type: Observed Year: 1827 Ex: 4.100000","Age: 88 ex_fr_female$Type: Observed Year: 1828 Ex: 4.090000","Age: 88 ex_fr_female$Type: Observed Year: 1829 Ex: 3.740000","Age: 88 ex_fr_female$Type: Observed Year: 1830 Ex: 3.850000","Age: 88 ex_fr_female$Type: Observed Year: 1831 Ex: 3.740000","Age: 88 ex_fr_female$Type: Observed Year: 1832 Ex: 3.630000","Age: 88 ex_fr_female$Type: Observed Year: 1833 Ex: 3.980000","Age: 88 ex_fr_female$Type: Observed Year: 1834 Ex: 3.890000","Age: 88 ex_fr_female$Type: Observed Year: 1835 Ex: 3.810000","Age: 88 ex_fr_female$Type: Observed Year: 1836 Ex: 3.840000","Age: 88 ex_fr_female$Type: Observed Year: 1837 Ex: 3.390000","Age: 88 ex_fr_female$Type: Observed Year: 1838 Ex: 3.850000","Age: 88 ex_fr_female$Type: Observed Year: 1839 Ex: 4.090000","Age: 88 ex_fr_female$Type: Observed Year: 1840 Ex: 3.610000","Age: 88 ex_fr_female$Type: Observed Year: 1841 Ex: 3.750000","Age: 88 ex_fr_female$Type: Observed Year: 1842 Ex: 3.650000","Age: 88 ex_fr_female$Type: Observed Year: 1843 Ex: 3.670000","Age: 88 ex_fr_female$Type: Observed Year: 1844 Ex: 3.720000","Age: 88 ex_fr_female$Type: Observed Year: 1845 Ex: 3.850000","Age: 88 ex_fr_female$Type: Observed Year: 1846 Ex: 3.490000","Age: 88 ex_fr_female$Type: Observed Year: 1847 Ex: 3.260000","Age: 88 ex_fr_female$Type: Observed Year: 1848 Ex: 3.490000","Age: 88 ex_fr_female$Type: Observed Year: 1849 Ex: 3.430000","Age: 88 ex_fr_female$Type: Observed Year: 1850 Ex: 3.670000","Age: 88 ex_fr_female$Type: Observed Year: 1851 Ex: 3.350000","Age: 88 ex_fr_female$Type: Observed Year: 1852 Ex: 3.410000","Age: 88 ex_fr_female$Type: Observed Year: 1853 Ex: 3.100000","Age: 88 ex_fr_female$Type: Observed Year: 1854 Ex: 3.000000","Age: 88 ex_fr_female$Type: Observed Year: 1855 Ex: 2.790000","Age: 88 ex_fr_female$Type: Observed Year: 1856 Ex: 3.150000","Age: 88 ex_fr_female$Type: Observed Year: 1857 Ex: 3.120000","Age: 88 ex_fr_female$Type: Observed Year: 1858 Ex: 2.960000","Age: 88 ex_fr_female$Type: Observed Year: 1859 Ex: 3.030000","Age: 88 ex_fr_female$Type: Observed Year: 1860 Ex: 3.230000","Age: 88 ex_fr_female$Type: Observed Year: 1861 Ex: 3.210000","Age: 88 ex_fr_female$Type: Observed Year: 1862 Ex: 3.240000","Age: 88 ex_fr_female$Type: Observed Year: 1863 Ex: 3.260000","Age: 88 ex_fr_female$Type: Observed Year: 1864 Ex: 3.170000","Age: 88 ex_fr_female$Type: Observed Year: 1865 Ex: 3.050000","Age: 88 ex_fr_female$Type: Observed Year: 1866 Ex: 3.260000","Age: 88 ex_fr_female$Type: Observed Year: 1867 Ex: 3.190000","Age: 88 ex_fr_female$Type: Observed Year: 1868 Ex: 3.100000","Age: 88 ex_fr_female$Type: Observed Year: 1869 Ex: 3.120000","Age: 88 ex_fr_female$Type: Observed Year: 1870 Ex: 2.840000","Age: 88 ex_fr_female$Type: Observed Year: 1871 Ex: 2.710000","Age: 88 ex_fr_female$Type: Observed Year: 1872 Ex: 3.470000","Age: 88 ex_fr_female$Type: Observed Year: 1873 Ex: 3.140000","Age: 88 ex_fr_female$Type: Observed Year: 1874 Ex: 3.260000","Age: 88 ex_fr_female$Type: Observed Year: 1875 Ex: 3.030000","Age: 88 ex_fr_female$Type: Observed Year: 1876 Ex: 3.150000","Age: 88 ex_fr_female$Type: Observed Year: 1877 Ex: 3.180000","Age: 88 ex_fr_female$Type: Observed Year: 1878 Ex: 3.060000","Age: 88 ex_fr_female$Type: Observed Year: 1879 Ex: 2.830000","Age: 88 ex_fr_female$Type: Observed Year: 1880 Ex: 3.170000","Age: 88 ex_fr_female$Type: Observed Year: 1881 Ex: 3.370000","Age: 88 ex_fr_female$Type: Observed Year: 1882 Ex: 3.310000","Age: 88 ex_fr_female$Type: Observed Year: 1883 Ex: 3.070000","Age: 88 ex_fr_female$Type: Observed Year: 1884 Ex: 3.190000","Age: 88 ex_fr_female$Type: Observed Year: 1885 Ex: 3.150000","Age: 88 ex_fr_female$Type: Observed Year: 1886 Ex: 3.130000","Age: 88 ex_fr_female$Type: Observed Year: 1887 Ex: 3.200000","Age: 88 ex_fr_female$Type: Observed Year: 1888 Ex: 3.110000","Age: 88 ex_fr_female$Type: Observed Year: 1889 Ex: 3.290000","Age: 88 ex_fr_female$Type: Observed Year: 1890 Ex: 2.970000","Age: 88 ex_fr_female$Type: Observed Year: 1891 Ex: 2.770000","Age: 88 ex_fr_female$Type: Observed Year: 1892 Ex: 2.760000","Age: 88 ex_fr_female$Type: Observed Year: 1893 Ex: 2.800000","Age: 88 ex_fr_female$Type: Observed Year: 1894 Ex: 2.880000","Age: 88 ex_fr_female$Type: Observed Year: 1895 Ex: 2.700000","Age: 88 ex_fr_female$Type: Observed Year: 1896 Ex: 3.150000","Age: 88 ex_fr_female$Type: Observed Year: 1897 Ex: 3.270000","Age: 88 ex_fr_female$Type: Observed Year: 1898 Ex: 3.020000","Age: 88 ex_fr_female$Type: Observed Year: 1899 Ex: 2.900000","Age: 88 ex_fr_female$Type: Observed Year: 1900 Ex: 2.780000","Age: 88 ex_fr_female$Type: Observed Year: 1901 Ex: 2.940000","Age: 88 ex_fr_female$Type: Observed Year: 1902 Ex: 3.030000","Age: 88 ex_fr_female$Type: Observed Year: 1903 Ex: 3.060000","Age: 88 ex_fr_female$Type: Observed Year: 1904 Ex: 2.970000","Age: 88 ex_fr_female$Type: Observed Year: 1905 Ex: 2.840000","Age: 88 ex_fr_female$Type: Observed Year: 1906 Ex: 2.890000","Age: 88 ex_fr_female$Type: Observed Year: 1907 Ex: 2.860000","Age: 88 ex_fr_female$Type: Observed Year: 1908 Ex: 3.040000","Age: 88 ex_fr_female$Type: Observed Year: 1909 Ex: 2.900000","Age: 88 ex_fr_female$Type: Observed Year: 1910 Ex: 3.120000","Age: 88 ex_fr_female$Type: Observed Year: 1911 Ex: 2.790000","Age: 88 ex_fr_female$Type: Observed Year: 1912 Ex: 3.210000","Age: 88 ex_fr_female$Type: Observed Year: 1913 Ex: 3.180000","Age: 88 ex_fr_female$Type: Observed Year: 1914 Ex: 2.860000","Age: 88 ex_fr_female$Type: Observed Year: 1915 Ex: 2.950000","Age: 88 ex_fr_female$Type: Observed Year: 1916 Ex: 2.890000","Age: 88 ex_fr_female$Type: Observed Year: 1917 Ex: 2.740000","Age: 88 ex_fr_female$Type: Observed Year: 1918 Ex: 2.840000","Age: 88 ex_fr_female$Type: Observed Year: 1919 Ex: 2.750000","Age: 88 ex_fr_female$Type: Observed Year: 1920 Ex: 3.180000","Age: 88 ex_fr_female$Type: Observed Year: 1921 Ex: 3.080000","Age: 88 ex_fr_female$Type: Observed Year: 1922 Ex: 2.960000","Age: 88 ex_fr_female$Type: Observed Year: 1923 Ex: 3.190000","Age: 88 ex_fr_female$Type: Observed Year: 1924 Ex: 3.100000","Age: 88 ex_fr_female$Type: Observed Year: 1925 Ex: 2.900000","Age: 88 ex_fr_female$Type: Observed Year: 1926 Ex: 3.060000","Age: 88 ex_fr_female$Type: Observed Year: 1927 Ex: 3.040000","Age: 88 ex_fr_female$Type: Observed Year: 1928 Ex: 3.070000","Age: 88 ex_fr_female$Type: Observed Year: 1929 Ex: 2.750000","Age: 88 ex_fr_female$Type: Observed Year: 1930 Ex: 3.420000","Age: 88 ex_fr_female$Type: Observed Year: 1931 Ex: 2.990000","Age: 88 ex_fr_female$Type: Observed Year: 1932 Ex: 3.110000","Age: 88 ex_fr_female$Type: Observed Year: 1933 Ex: 3.040000","Age: 88 ex_fr_female$Type: Observed Year: 1934 Ex: 3.410000","Age: 88 ex_fr_female$Type: Observed Year: 1935 Ex: 3.170000","Age: 88 ex_fr_female$Type: Observed Year: 1936 Ex: 3.300000","Age: 88 ex_fr_female$Type: Observed Year: 1937 Ex: 3.340000","Age: 88 ex_fr_female$Type: Observed Year: 1938 Ex: 3.210000","Age: 88 ex_fr_female$Type: Observed Year: 1939 Ex: 3.150000","Age: 88 ex_fr_female$Type: Observed Year: 1940 Ex: 2.490000","Age: 88 ex_fr_female$Type: Observed Year: 1941 Ex: 2.940000","Age: 88 ex_fr_female$Type: Observed Year: 1942 Ex: 2.920000","Age: 88 ex_fr_female$Type: Observed Year: 1943 Ex: 3.050000","Age: 88 ex_fr_female$Type: Observed Year: 1944 Ex: 2.730000","Age: 88 ex_fr_female$Type: Observed Year: 1945 Ex: 3.000000","Age: 88 ex_fr_female$Type: Observed Year: 1946 Ex: 3.470000","Age: 88 ex_fr_female$Type: Observed Year: 1947 Ex: 3.600000","Age: 88 ex_fr_female$Type: Observed Year: 1948 Ex: 3.880000","Age: 88 ex_fr_female$Type: Observed Year: 1949 Ex: 3.290000","Age: 88 ex_fr_female$Type: Observed Year: 1950 Ex: 3.600000","Age: 88 ex_fr_female$Type: Observed Year: 1951 Ex: 3.270000","Age: 88 ex_fr_female$Type: Observed Year: 1952 Ex: 3.610000","Age: 88 ex_fr_female$Type: Observed Year: 1953 Ex: 3.300000","Age: 88 ex_fr_female$Type: Observed Year: 1954 Ex: 3.680000","Age: 88 ex_fr_female$Type: Observed Year: 1955 Ex: 3.600000","Age: 88 ex_fr_female$Type: Observed Year: 1956 Ex: 3.410000","Age: 88 ex_fr_female$Type: Observed Year: 1957 Ex: 3.580000","Age: 88 ex_fr_female$Type: Observed Year: 1958 Ex: 3.740000","Age: 88 ex_fr_female$Type: Observed Year: 1959 Ex: 3.760000","Age: 88 ex_fr_female$Type: Observed Year: 1960 Ex: 3.690000","Age: 88 ex_fr_female$Type: Observed Year: 1961 Ex: 3.950000","Age: 88 ex_fr_female$Type: Observed Year: 1962 Ex: 3.670000","Age: 88 ex_fr_female$Type: Observed Year: 1963 Ex: 3.600000","Age: 88 ex_fr_female$Type: Observed Year: 1964 Ex: 3.960000","Age: 88 ex_fr_female$Type: Observed Year: 1965 Ex: 3.820000","Age: 88 ex_fr_female$Type: Observed Year: 1966 Ex: 4.010000","Age: 88 ex_fr_female$Type: Observed Year: 1967 Ex: 3.940000","Age: 88 ex_fr_female$Type: Observed Year: 1968 Ex: 3.870000","Age: 88 ex_fr_female$Type: Observed Year: 1969 Ex: 3.990000","Age: 88 ex_fr_female$Type: Observed Year: 1970 Ex: 4.040000","Age: 88 ex_fr_female$Type: Observed Year: 1971 Ex: 3.940000","Age: 88 ex_fr_female$Type: Observed Year: 1972 Ex: 4.150000","Age: 88 ex_fr_female$Type: Observed Year: 1973 Ex: 4.050000","Age: 88 ex_fr_female$Type: Observed Year: 1974 Ex: 4.100000","Age: 88 ex_fr_female$Type: Observed Year: 1975 Ex: 4.090000","Age: 88 ex_fr_female$Type: Observed Year: 1976 Ex: 4.100000","Age: 88 ex_fr_female$Type: Observed Year: 1977 Ex: 4.360000","Age: 88 ex_fr_female$Type: Observed Year: 1978 Ex: 4.320000","Age: 88 ex_fr_female$Type: Observed Year: 1979 Ex: 4.400000","Age: 88 ex_fr_female$Type: Observed Year: 1980 Ex: 4.340000","Age: 88 ex_fr_female$Type: Observed Year: 1981 Ex: 4.300000","Age: 88 ex_fr_female$Type: Observed Year: 1982 Ex: 4.460000","Age: 88 ex_fr_female$Type: Observed Year: 1983 Ex: 4.290000","Age: 88 ex_fr_female$Type: Observed Year: 1984 Ex: 4.520000","Age: 88 ex_fr_female$Type: Observed Year: 1985 Ex: 4.460000","Age: 88 ex_fr_female$Type: Observed Year: 1986 Ex: 4.520000","Age: 88 ex_fr_female$Type: Observed Year: 1987 Ex: 4.750000","Age: 88 ex_fr_female$Type: Observed Year: 1988 Ex: 4.820000","Age: 88 ex_fr_female$Type: Observed Year: 1989 Ex: 4.760000","Age: 88 ex_fr_female$Type: Observed Year: 1990 Ex: 4.830000","Age: 88 ex_fr_female$Type: Observed Year: 1991 Ex: 4.950000","Age: 88 ex_fr_female$Type: Observed Year: 1992 Ex: 5.030000","Age: 88 ex_fr_female$Type: Observed Year: 1993 Ex: 4.990000","Age: 88 ex_fr_female$Type: Observed Year: 1994 Ex: 5.200000","Age: 88 ex_fr_female$Type: Observed Year: 1995 Ex: 5.130000","Age: 88 ex_fr_female$Type: Observed Year: 1996 Ex: 5.110000","Age: 88 ex_fr_female$Type: Observed Year: 1997 Ex: 5.180000","Age: 88 ex_fr_female$Type: Observed Year: 1998 Ex: 5.210000","Age: 88 ex_fr_female$Type: Observed Year: 1999 Ex: 5.180000","Age: 88 ex_fr_female$Type: Observed Year: 2000 Ex: 5.290000","Age: 88 ex_fr_female$Type: Observed Year: 2001 Ex: 5.350000","Age: 88 ex_fr_female$Type: Observed Year: 2002 Ex: 5.340000","Age: 88 ex_fr_female$Type: Observed Year: 2003 Ex: 5.160000","Age: 88 ex_fr_female$Type: Observed Year: 2004 Ex: 5.730000","Age: 88 ex_fr_female$Type: Observed Year: 2005 Ex: 5.580000","Age: 88 ex_fr_female$Type: Observed Year: 2006 Ex: 5.810000","Age: 88 ex_fr_female$Type: Observed Year: 2007 Ex: 5.820000","Age: 88 ex_fr_female$Type: Observed Year: 2008 Ex: 5.790000","Age: 88 ex_fr_female$Type: Observed Year: 2009 Ex: 5.810000","Age: 88 ex_fr_female$Type: Observed Year: 2010 Ex: 5.880000","Age: 88 ex_fr_female$Type: Observed Year: 2011 Ex: 6.040000","Age: 88 ex_fr_female$Type: Observed Year: 2012 Ex: 5.850000","Age: 88 ex_fr_female$Type: Observed Year: 2013 Ex: 5.940000","Age: 88 ex_fr_female$Type: Observed Year: 2014 Ex: 6.170000","Age: 88 ex_fr_female$Type: Observed Year: 2015 Ex: 5.890000","Age: 88 ex_fr_female$Type: Observed Year: 2016 Ex: 6.010000","Age: 88 ex_fr_female$Type: Observed Year: 2017 Ex: 5.930000"],"frame":"88","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[4.49298010558124,4.44166548921872,4.45448030590788,4.47641147867068,4.27379368189594,4.67622947130933,4.33845553017503,4.26026229891961,4.69984483335358,4.40223399869071,4.06689166514826,4.52481723549598,4.5182107706128,4.16687233052972,4.27914953617537,4.16129445774269,4.06709012979533,4.4037124210752,4.31271569025642,4.23226952933661,4.27217552725119,3.8244880375969,4.27775782688318,4.51088776684616,4.04743256705677,4.18221562623503,4.08401553461395,4.10567557701805,4.1459555716517,4.2776662322382,3.9191885327935,3.70111124015009,3.92403102602838,3.86602460504037,4.10411112131058,3.78418801795328,3.85045116188149,3.54813581159763,3.44423338449714,3.23122506957048,3.59507285456112,3.56468729518464,3.41331548066109,3.4793654309551,3.66193858490909,3.64742850580458,3.68359635610483,3.69571455889943,3.61395053606833,3.4973508151259,3.69826680201165,3.6257958697113,3.54184399021812,3.56004370075753,3.2815986091766,3.15481158180003,3.90501755332854,3.58152910169703,3.69535488993453,3.46344259452256,3.58026070904783,3.61057911887897,3.49789969283773,3.27252245542662,3.60149467239001,3.80639494590556,3.74189175942663,3.50106135924542,3.6238632441424,3.57240356532853,3.56478713973432,3.63633890685913,3.54281556813162,3.72353674573133,3.40662746483769,3.20551214328491,3.19941544154476,3.23811987525189,3.31595331447668,3.13796843050152,3.58141171524852,3.70024117685597,3.45554997276455,3.32785023779626,3.21947735354972,3.3761852565647,3.46235173594527,3.50607922625334,3.41306815575296,3.26385866073479,3.32066283732821,3.29839646859277,3.47259052639816,3.33728507484551,3.54652121159636,3.22344164565819,3.63843088445396,3.60963929430729,3.29293969052911,3.387199208788,3.32255967279495,3.17901107689134,3.27142902047586,3.1819341398681,3.60933241158465,3.51206190397679,3.38630571506157,3.6146125929145,3.52782209980438,3.32611626216184,3.48305868673914,3.46483080004255,3.49903480807942,3.18293454938248,3.84150869504427,3.42239491118131,3.53061422568143,3.46985348059883,3.82889703964335,3.59070912422314,3.72335588536499,3.75366030241411,3.6286453008908,3.5671611963982,2.91881694290187,3.36761741912478,3.34715624984504,3.4691793456237,3.15756235364608,3.42582491992078,3.88767557248223,4.00956800523235,4.29278116519798,3.70585176296104,4.00966392178414,3.68735911497007,4.01803665597749,3.7171347354072,4.08679339812875,4.0148680477319,3.81910430541255,3.99217840818658,4.14473637675268,4.16845855550413,4.09073168078146,4.35123116882149,4.07558351903649,4.00710726203322,4.36362482922046,4.22726181025598,4.40936997536148,4.34245659124349,4.26879672255748,4.38490384667589,4.4389579970285,4.33696716666225,4.54925321183164,4.44397654743702,4.49326744935744,4.48922487107794,4.49372807662843,4.74708216840997,4.70473401468404,4.78425788668779,4.73215785602749,4.68709441008355,4.84709946007864,4.68163908937373,4.90642885447764,4.84713735832847,4.90198665745133,5.12627352999584,5.19847299735345,5.13863447463635,5.20082286691019,5.32112350626873,5.40104576819695,5.35587758552996,5.56711780140347,5.50077504154095,5.48034587906115,5.54760064571826,5.56888232782046,5.54915726085098,5.65360384886783,5.71503800002827,5.70118193924145,5.522709058405,6.08274383357511,5.93187375435005,6.16033923529054,6.17333756534818,6.14426357186921,6.16047144699622,6.23169440962034,6.38490197076831,6.19344220499428,6.28789986401732,6.51185542160035,6.23915726356921,6.35468239128825,6.27548366242068],"text":["Age: 88 ex_fr_female$Type: Predicted Year: 1816 Ex: 4.492980","Age: 88 ex_fr_female$Type: Predicted Year: 1817 Ex: 4.441665","Age: 88 ex_fr_female$Type: Predicted Year: 1818 Ex: 4.454480","Age: 88 ex_fr_female$Type: Predicted Year: 1819 Ex: 4.476411","Age: 88 ex_fr_female$Type: Predicted Year: 1820 Ex: 4.273794","Age: 88 ex_fr_female$Type: Predicted Year: 1821 Ex: 4.676229","Age: 88 ex_fr_female$Type: Predicted Year: 1822 Ex: 4.338456","Age: 88 ex_fr_female$Type: Predicted Year: 1823 Ex: 4.260262","Age: 88 ex_fr_female$Type: Predicted Year: 1824 Ex: 4.699845","Age: 88 ex_fr_female$Type: Predicted Year: 1825 Ex: 4.402234","Age: 88 ex_fr_female$Type: Predicted Year: 1826 Ex: 4.066892","Age: 88 ex_fr_female$Type: Predicted Year: 1827 Ex: 4.524817","Age: 88 ex_fr_female$Type: Predicted Year: 1828 Ex: 4.518211","Age: 88 ex_fr_female$Type: Predicted Year: 1829 Ex: 4.166872","Age: 88 ex_fr_female$Type: Predicted Year: 1830 Ex: 4.279150","Age: 88 ex_fr_female$Type: Predicted Year: 1831 Ex: 4.161294","Age: 88 ex_fr_female$Type: Predicted Year: 1832 Ex: 4.067090","Age: 88 ex_fr_female$Type: Predicted Year: 1833 Ex: 4.403712","Age: 88 ex_fr_female$Type: Predicted Year: 1834 Ex: 4.312716","Age: 88 ex_fr_female$Type: Predicted Year: 1835 Ex: 4.232270","Age: 88 ex_fr_female$Type: Predicted Year: 1836 Ex: 4.272176","Age: 88 ex_fr_female$Type: Predicted Year: 1837 Ex: 3.824488","Age: 88 ex_fr_female$Type: Predicted Year: 1838 Ex: 4.277758","Age: 88 ex_fr_female$Type: Predicted Year: 1839 Ex: 4.510888","Age: 88 ex_fr_female$Type: Predicted Year: 1840 Ex: 4.047433","Age: 88 ex_fr_female$Type: Predicted Year: 1841 Ex: 4.182216","Age: 88 ex_fr_female$Type: Predicted Year: 1842 Ex: 4.084016","Age: 88 ex_fr_female$Type: Predicted Year: 1843 Ex: 4.105676","Age: 88 ex_fr_female$Type: Predicted Year: 1844 Ex: 4.145956","Age: 88 ex_fr_female$Type: Predicted Year: 1845 Ex: 4.277666","Age: 88 ex_fr_female$Type: Predicted Year: 1846 Ex: 3.919189","Age: 88 ex_fr_female$Type: Predicted Year: 1847 Ex: 3.701111","Age: 88 ex_fr_female$Type: Predicted Year: 1848 Ex: 3.924031","Age: 88 ex_fr_female$Type: Predicted Year: 1849 Ex: 3.866025","Age: 88 ex_fr_female$Type: Predicted Year: 1850 Ex: 4.104111","Age: 88 ex_fr_female$Type: Predicted Year: 1851 Ex: 3.784188","Age: 88 ex_fr_female$Type: Predicted Year: 1852 Ex: 3.850451","Age: 88 ex_fr_female$Type: Predicted Year: 1853 Ex: 3.548136","Age: 88 ex_fr_female$Type: Predicted Year: 1854 Ex: 3.444233","Age: 88 ex_fr_female$Type: Predicted Year: 1855 Ex: 3.231225","Age: 88 ex_fr_female$Type: Predicted Year: 1856 Ex: 3.595073","Age: 88 ex_fr_female$Type: Predicted Year: 1857 Ex: 3.564687","Age: 88 ex_fr_female$Type: Predicted Year: 1858 Ex: 3.413315","Age: 88 ex_fr_female$Type: Predicted Year: 1859 Ex: 3.479365","Age: 88 ex_fr_female$Type: Predicted Year: 1860 Ex: 3.661939","Age: 88 ex_fr_female$Type: Predicted Year: 1861 Ex: 3.647429","Age: 88 ex_fr_female$Type: Predicted Year: 1862 Ex: 3.683596","Age: 88 ex_fr_female$Type: Predicted Year: 1863 Ex: 3.695715","Age: 88 ex_fr_female$Type: Predicted Year: 1864 Ex: 3.613951","Age: 88 ex_fr_female$Type: Predicted Year: 1865 Ex: 3.497351","Age: 88 ex_fr_female$Type: Predicted Year: 1866 Ex: 3.698267","Age: 88 ex_fr_female$Type: Predicted Year: 1867 Ex: 3.625796","Age: 88 ex_fr_female$Type: Predicted Year: 1868 Ex: 3.541844","Age: 88 ex_fr_female$Type: Predicted Year: 1869 Ex: 3.560044","Age: 88 ex_fr_female$Type: Predicted Year: 1870 Ex: 3.281599","Age: 88 ex_fr_female$Type: Predicted Year: 1871 Ex: 3.154812","Age: 88 ex_fr_female$Type: Predicted Year: 1872 Ex: 3.905018","Age: 88 ex_fr_female$Type: Predicted Year: 1873 Ex: 3.581529","Age: 88 ex_fr_female$Type: Predicted Year: 1874 Ex: 3.695355","Age: 88 ex_fr_female$Type: Predicted Year: 1875 Ex: 3.463443","Age: 88 ex_fr_female$Type: Predicted Year: 1876 Ex: 3.580261","Age: 88 ex_fr_female$Type: Predicted Year: 1877 Ex: 3.610579","Age: 88 ex_fr_female$Type: Predicted Year: 1878 Ex: 3.497900","Age: 88 ex_fr_female$Type: Predicted Year: 1879 Ex: 3.272522","Age: 88 ex_fr_female$Type: Predicted Year: 1880 Ex: 3.601495","Age: 88 ex_fr_female$Type: Predicted Year: 1881 Ex: 3.806395","Age: 88 ex_fr_female$Type: Predicted Year: 1882 Ex: 3.741892","Age: 88 ex_fr_female$Type: Predicted Year: 1883 Ex: 3.501061","Age: 88 ex_fr_female$Type: Predicted Year: 1884 Ex: 3.623863","Age: 88 ex_fr_female$Type: Predicted Year: 1885 Ex: 3.572404","Age: 88 ex_fr_female$Type: Predicted Year: 1886 Ex: 3.564787","Age: 88 ex_fr_female$Type: Predicted Year: 1887 Ex: 3.636339","Age: 88 ex_fr_female$Type: Predicted Year: 1888 Ex: 3.542816","Age: 88 ex_fr_female$Type: Predicted Year: 1889 Ex: 3.723537","Age: 88 ex_fr_female$Type: Predicted Year: 1890 Ex: 3.406627","Age: 88 ex_fr_female$Type: Predicted Year: 1891 Ex: 3.205512","Age: 88 ex_fr_female$Type: Predicted Year: 1892 Ex: 3.199415","Age: 88 ex_fr_female$Type: Predicted Year: 1893 Ex: 3.238120","Age: 88 ex_fr_female$Type: Predicted Year: 1894 Ex: 3.315953","Age: 88 ex_fr_female$Type: Predicted Year: 1895 Ex: 3.137968","Age: 88 ex_fr_female$Type: Predicted Year: 1896 Ex: 3.581412","Age: 88 ex_fr_female$Type: Predicted Year: 1897 Ex: 3.700241","Age: 88 ex_fr_female$Type: Predicted Year: 1898 Ex: 3.455550","Age: 88 ex_fr_female$Type: Predicted Year: 1899 Ex: 3.327850","Age: 88 ex_fr_female$Type: Predicted Year: 1900 Ex: 3.219477","Age: 88 ex_fr_female$Type: Predicted Year: 1901 Ex: 3.376185","Age: 88 ex_fr_female$Type: Predicted Year: 1902 Ex: 3.462352","Age: 88 ex_fr_female$Type: Predicted Year: 1903 Ex: 3.506079","Age: 88 ex_fr_female$Type: Predicted Year: 1904 Ex: 3.413068","Age: 88 ex_fr_female$Type: Predicted Year: 1905 Ex: 3.263859","Age: 88 ex_fr_female$Type: Predicted Year: 1906 Ex: 3.320663","Age: 88 ex_fr_female$Type: Predicted Year: 1907 Ex: 3.298396","Age: 88 ex_fr_female$Type: Predicted Year: 1908 Ex: 3.472591","Age: 88 ex_fr_female$Type: Predicted Year: 1909 Ex: 3.337285","Age: 88 ex_fr_female$Type: Predicted Year: 1910 Ex: 3.546521","Age: 88 ex_fr_female$Type: Predicted Year: 1911 Ex: 3.223442","Age: 88 ex_fr_female$Type: Predicted Year: 1912 Ex: 3.638431","Age: 88 ex_fr_female$Type: Predicted Year: 1913 Ex: 3.609639","Age: 88 ex_fr_female$Type: Predicted Year: 1914 Ex: 3.292940","Age: 88 ex_fr_female$Type: Predicted Year: 1915 Ex: 3.387199","Age: 88 ex_fr_female$Type: Predicted Year: 1916 Ex: 3.322560","Age: 88 ex_fr_female$Type: Predicted Year: 1917 Ex: 3.179011","Age: 88 ex_fr_female$Type: Predicted Year: 1918 Ex: 3.271429","Age: 88 ex_fr_female$Type: Predicted Year: 1919 Ex: 3.181934","Age: 88 ex_fr_female$Type: Predicted Year: 1920 Ex: 3.609332","Age: 88 ex_fr_female$Type: Predicted Year: 1921 Ex: 3.512062","Age: 88 ex_fr_female$Type: Predicted Year: 1922 Ex: 3.386306","Age: 88 ex_fr_female$Type: Predicted Year: 1923 Ex: 3.614613","Age: 88 ex_fr_female$Type: Predicted Year: 1924 Ex: 3.527822","Age: 88 ex_fr_female$Type: Predicted Year: 1925 Ex: 3.326116","Age: 88 ex_fr_female$Type: Predicted Year: 1926 Ex: 3.483059","Age: 88 ex_fr_female$Type: Predicted Year: 1927 Ex: 3.464831","Age: 88 ex_fr_female$Type: Predicted Year: 1928 Ex: 3.499035","Age: 88 ex_fr_female$Type: Predicted Year: 1929 Ex: 3.182935","Age: 88 ex_fr_female$Type: Predicted Year: 1930 Ex: 3.841509","Age: 88 ex_fr_female$Type: Predicted Year: 1931 Ex: 3.422395","Age: 88 ex_fr_female$Type: Predicted Year: 1932 Ex: 3.530614","Age: 88 ex_fr_female$Type: Predicted Year: 1933 Ex: 3.469853","Age: 88 ex_fr_female$Type: Predicted Year: 1934 Ex: 3.828897","Age: 88 ex_fr_female$Type: Predicted Year: 1935 Ex: 3.590709","Age: 88 ex_fr_female$Type: Predicted Year: 1936 Ex: 3.723356","Age: 88 ex_fr_female$Type: Predicted Year: 1937 Ex: 3.753660","Age: 88 ex_fr_female$Type: Predicted Year: 1938 Ex: 3.628645","Age: 88 ex_fr_female$Type: Predicted Year: 1939 Ex: 3.567161","Age: 88 ex_fr_female$Type: Predicted Year: 1940 Ex: 2.918817","Age: 88 ex_fr_female$Type: Predicted Year: 1941 Ex: 3.367617","Age: 88 ex_fr_female$Type: Predicted Year: 1942 Ex: 3.347156","Age: 88 ex_fr_female$Type: Predicted Year: 1943 Ex: 3.469179","Age: 88 ex_fr_female$Type: Predicted Year: 1944 Ex: 3.157562","Age: 88 ex_fr_female$Type: Predicted Year: 1945 Ex: 3.425825","Age: 88 ex_fr_female$Type: Predicted Year: 1946 Ex: 3.887676","Age: 88 ex_fr_female$Type: Predicted Year: 1947 Ex: 4.009568","Age: 88 ex_fr_female$Type: Predicted Year: 1948 Ex: 4.292781","Age: 88 ex_fr_female$Type: Predicted Year: 1949 Ex: 3.705852","Age: 88 ex_fr_female$Type: Predicted Year: 1950 Ex: 4.009664","Age: 88 ex_fr_female$Type: Predicted Year: 1951 Ex: 3.687359","Age: 88 ex_fr_female$Type: Predicted Year: 1952 Ex: 4.018037","Age: 88 ex_fr_female$Type: Predicted Year: 1953 Ex: 3.717135","Age: 88 ex_fr_female$Type: Predicted Year: 1954 Ex: 4.086793","Age: 88 ex_fr_female$Type: Predicted Year: 1955 Ex: 4.014868","Age: 88 ex_fr_female$Type: Predicted Year: 1956 Ex: 3.819104","Age: 88 ex_fr_female$Type: Predicted Year: 1957 Ex: 3.992178","Age: 88 ex_fr_female$Type: Predicted Year: 1958 Ex: 4.144736","Age: 88 ex_fr_female$Type: Predicted Year: 1959 Ex: 4.168459","Age: 88 ex_fr_female$Type: Predicted Year: 1960 Ex: 4.090732","Age: 88 ex_fr_female$Type: Predicted Year: 1961 Ex: 4.351231","Age: 88 ex_fr_female$Type: Predicted Year: 1962 Ex: 4.075584","Age: 88 ex_fr_female$Type: Predicted Year: 1963 Ex: 4.007107","Age: 88 ex_fr_female$Type: Predicted Year: 1964 Ex: 4.363625","Age: 88 ex_fr_female$Type: Predicted Year: 1965 Ex: 4.227262","Age: 88 ex_fr_female$Type: Predicted Year: 1966 Ex: 4.409370","Age: 88 ex_fr_female$Type: Predicted Year: 1967 Ex: 4.342457","Age: 88 ex_fr_female$Type: Predicted Year: 1968 Ex: 4.268797","Age: 88 ex_fr_female$Type: Predicted Year: 1969 Ex: 4.384904","Age: 88 ex_fr_female$Type: Predicted Year: 1970 Ex: 4.438958","Age: 88 ex_fr_female$Type: Predicted Year: 1971 Ex: 4.336967","Age: 88 ex_fr_female$Type: Predicted Year: 1972 Ex: 4.549253","Age: 88 ex_fr_female$Type: Predicted Year: 1973 Ex: 4.443977","Age: 88 ex_fr_female$Type: Predicted Year: 1974 Ex: 4.493267","Age: 88 ex_fr_female$Type: Predicted Year: 1975 Ex: 4.489225","Age: 88 ex_fr_female$Type: Predicted Year: 1976 Ex: 4.493728","Age: 88 ex_fr_female$Type: Predicted Year: 1977 Ex: 4.747082","Age: 88 ex_fr_female$Type: Predicted Year: 1978 Ex: 4.704734","Age: 88 ex_fr_female$Type: Predicted Year: 1979 Ex: 4.784258","Age: 88 ex_fr_female$Type: Predicted Year: 1980 Ex: 4.732158","Age: 88 ex_fr_female$Type: Predicted Year: 1981 Ex: 4.687094","Age: 88 ex_fr_female$Type: Predicted Year: 1982 Ex: 4.847099","Age: 88 ex_fr_female$Type: Predicted Year: 1983 Ex: 4.681639","Age: 88 ex_fr_female$Type: Predicted Year: 1984 Ex: 4.906429","Age: 88 ex_fr_female$Type: Predicted Year: 1985 Ex: 4.847137","Age: 88 ex_fr_female$Type: Predicted Year: 1986 Ex: 4.901987","Age: 88 ex_fr_female$Type: Predicted Year: 1987 Ex: 5.126274","Age: 88 ex_fr_female$Type: Predicted Year: 1988 Ex: 5.198473","Age: 88 ex_fr_female$Type: Predicted Year: 1989 Ex: 5.138634","Age: 88 ex_fr_female$Type: Predicted Year: 1990 Ex: 5.200823","Age: 88 ex_fr_female$Type: Predicted Year: 1991 Ex: 5.321124","Age: 88 ex_fr_female$Type: Predicted Year: 1992 Ex: 5.401046","Age: 88 ex_fr_female$Type: Predicted Year: 1993 Ex: 5.355878","Age: 88 ex_fr_female$Type: Predicted Year: 1994 Ex: 5.567118","Age: 88 ex_fr_female$Type: Predicted Year: 1995 Ex: 5.500775","Age: 88 ex_fr_female$Type: Predicted Year: 1996 Ex: 5.480346","Age: 88 ex_fr_female$Type: Predicted Year: 1997 Ex: 5.547601","Age: 88 ex_fr_female$Type: Predicted Year: 1998 Ex: 5.568882","Age: 88 ex_fr_female$Type: Predicted Year: 1999 Ex: 5.549157","Age: 88 ex_fr_female$Type: Predicted Year: 2000 Ex: 5.653604","Age: 88 ex_fr_female$Type: Predicted Year: 2001 Ex: 5.715038","Age: 88 ex_fr_female$Type: Predicted Year: 2002 Ex: 5.701182","Age: 88 ex_fr_female$Type: Predicted Year: 2003 Ex: 5.522709","Age: 88 ex_fr_female$Type: Predicted Year: 2004 Ex: 6.082744","Age: 88 ex_fr_female$Type: Predicted Year: 2005 Ex: 5.931874","Age: 88 ex_fr_female$Type: Predicted Year: 2006 Ex: 6.160339","Age: 88 ex_fr_female$Type: Predicted Year: 2007 Ex: 6.173338","Age: 88 ex_fr_female$Type: Predicted Year: 2008 Ex: 6.144264","Age: 88 ex_fr_female$Type: Predicted Year: 2009 Ex: 6.160471","Age: 88 ex_fr_female$Type: Predicted Year: 2010 Ex: 6.231694","Age: 88 ex_fr_female$Type: Predicted Year: 2011 Ex: 6.384902","Age: 88 ex_fr_female$Type: Predicted Year: 2012 Ex: 6.193442","Age: 88 ex_fr_female$Type: Predicted Year: 2013 Ex: 6.287900","Age: 88 ex_fr_female$Type: Predicted Year: 2014 Ex: 6.511855","Age: 88 ex_fr_female$Type: Predicted Year: 2015 Ex: 6.239157","Age: 88 ex_fr_female$Type: Predicted Year: 2016 Ex: 6.354682","Age: 88 ex_fr_female$Type: Predicted Year: 2017 Ex: 6.275484"],"frame":"88","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"89","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[3.91,3.8,3.84,3.9,3.69,4.1,3.8,3.66,4.07,3.79,3.48,3.93,3.96,3.6,3.72,3.58,3.52,3.83,3.72,3.64,3.69,3.26,3.71,3.92,3.53,3.6,3.51,3.55,3.56,3.7,3.35,3.18,3.35,3.3,3.54,3.22,3.27,2.98,2.87,2.64,3.05,3.02,2.87,2.93,3.06,3.06,3.12,3.12,3.05,2.95,3.14,3.06,2.96,2.98,2.72,2.6,3.34,3.02,3.11,2.87,2.99,3.01,2.94,2.69,3.02,3.22,3.14,2.89,3.01,2.96,2.98,3.08,2.96,3.14,2.82,2.58,2.6,2.65,2.7,2.54,2.99,3.1,2.86,2.73,2.65,2.78,2.83,2.91,2.85,2.66,2.73,2.75,2.89,2.75,2.9,2.63,3.07,2.99,2.7,2.79,2.75,2.59,2.68,2.6,2.99,2.88,2.75,2.99,2.96,2.71,2.87,2.86,2.88,2.59,3.23,2.81,2.92,2.83,3.21,2.98,3.08,3.15,2.98,2.95,2.31,2.75,2.73,2.84,2.56,2.81,3.26,3.4,3.68,3.09,3.37,3.06,3.4,3.09,3.45,3.38,3.16,3.36,3.48,3.52,3.44,3.7,3.44,3.35,3.71,3.56,3.75,3.68,3.61,3.71,3.76,3.67,3.87,3.76,3.81,3.81,3.83,4.05,4.02,4.1,4.04,4,4.15,3.99,4.21,4.16,4.19,4.41,4.48,4.41,4.45,4.58,4.66,4.62,4.81,4.76,4.73,4.79,4.81,4.79,4.89,4.94,4.92,4.75,5.29,5.15,5.35,5.38,5.34,5.37,5.43,5.57,5.38,5.47,5.7,5.42,5.52,5.44],"text":["Age: 89 ex_fr_female$Type: Observed Year: 1816 Ex: 3.910000","Age: 89 ex_fr_female$Type: Observed Year: 1817 Ex: 3.800000","Age: 89 ex_fr_female$Type: Observed Year: 1818 Ex: 3.840000","Age: 89 ex_fr_female$Type: Observed Year: 1819 Ex: 3.900000","Age: 89 ex_fr_female$Type: Observed Year: 1820 Ex: 3.690000","Age: 89 ex_fr_female$Type: Observed Year: 1821 Ex: 4.100000","Age: 89 ex_fr_female$Type: Observed Year: 1822 Ex: 3.800000","Age: 89 ex_fr_female$Type: Observed Year: 1823 Ex: 3.660000","Age: 89 ex_fr_female$Type: Observed Year: 1824 Ex: 4.070000","Age: 89 ex_fr_female$Type: Observed Year: 1825 Ex: 3.790000","Age: 89 ex_fr_female$Type: Observed Year: 1826 Ex: 3.480000","Age: 89 ex_fr_female$Type: Observed Year: 1827 Ex: 3.930000","Age: 89 ex_fr_female$Type: Observed Year: 1828 Ex: 3.960000","Age: 89 ex_fr_female$Type: Observed Year: 1829 Ex: 3.600000","Age: 89 ex_fr_female$Type: Observed Year: 1830 Ex: 3.720000","Age: 89 ex_fr_female$Type: Observed Year: 1831 Ex: 3.580000","Age: 89 ex_fr_female$Type: Observed Year: 1832 Ex: 3.520000","Age: 89 ex_fr_female$Type: Observed Year: 1833 Ex: 3.830000","Age: 89 ex_fr_female$Type: Observed Year: 1834 Ex: 3.720000","Age: 89 ex_fr_female$Type: Observed Year: 1835 Ex: 3.640000","Age: 89 ex_fr_female$Type: Observed Year: 1836 Ex: 3.690000","Age: 89 ex_fr_female$Type: Observed Year: 1837 Ex: 3.260000","Age: 89 ex_fr_female$Type: Observed Year: 1838 Ex: 3.710000","Age: 89 ex_fr_female$Type: Observed Year: 1839 Ex: 3.920000","Age: 89 ex_fr_female$Type: Observed Year: 1840 Ex: 3.530000","Age: 89 ex_fr_female$Type: Observed Year: 1841 Ex: 3.600000","Age: 89 ex_fr_female$Type: Observed Year: 1842 Ex: 3.510000","Age: 89 ex_fr_female$Type: Observed Year: 1843 Ex: 3.550000","Age: 89 ex_fr_female$Type: Observed Year: 1844 Ex: 3.560000","Age: 89 ex_fr_female$Type: Observed Year: 1845 Ex: 3.700000","Age: 89 ex_fr_female$Type: Observed Year: 1846 Ex: 3.350000","Age: 89 ex_fr_female$Type: Observed Year: 1847 Ex: 3.180000","Age: 89 ex_fr_female$Type: Observed Year: 1848 Ex: 3.350000","Age: 89 ex_fr_female$Type: Observed Year: 1849 Ex: 3.300000","Age: 89 ex_fr_female$Type: Observed Year: 1850 Ex: 3.540000","Age: 89 ex_fr_female$Type: Observed Year: 1851 Ex: 3.220000","Age: 89 ex_fr_female$Type: Observed Year: 1852 Ex: 3.270000","Age: 89 ex_fr_female$Type: Observed Year: 1853 Ex: 2.980000","Age: 89 ex_fr_female$Type: Observed Year: 1854 Ex: 2.870000","Age: 89 ex_fr_female$Type: Observed Year: 1855 Ex: 2.640000","Age: 89 ex_fr_female$Type: Observed Year: 1856 Ex: 3.050000","Age: 89 ex_fr_female$Type: Observed Year: 1857 Ex: 3.020000","Age: 89 ex_fr_female$Type: Observed Year: 1858 Ex: 2.870000","Age: 89 ex_fr_female$Type: Observed Year: 1859 Ex: 2.930000","Age: 89 ex_fr_female$Type: Observed Year: 1860 Ex: 3.060000","Age: 89 ex_fr_female$Type: Observed Year: 1861 Ex: 3.060000","Age: 89 ex_fr_female$Type: Observed Year: 1862 Ex: 3.120000","Age: 89 ex_fr_female$Type: Observed Year: 1863 Ex: 3.120000","Age: 89 ex_fr_female$Type: Observed Year: 1864 Ex: 3.050000","Age: 89 ex_fr_female$Type: Observed Year: 1865 Ex: 2.950000","Age: 89 ex_fr_female$Type: Observed Year: 1866 Ex: 3.140000","Age: 89 ex_fr_female$Type: Observed Year: 1867 Ex: 3.060000","Age: 89 ex_fr_female$Type: Observed Year: 1868 Ex: 2.960000","Age: 89 ex_fr_female$Type: Observed Year: 1869 Ex: 2.980000","Age: 89 ex_fr_female$Type: Observed Year: 1870 Ex: 2.720000","Age: 89 ex_fr_female$Type: Observed Year: 1871 Ex: 2.600000","Age: 89 ex_fr_female$Type: Observed Year: 1872 Ex: 3.340000","Age: 89 ex_fr_female$Type: Observed Year: 1873 Ex: 3.020000","Age: 89 ex_fr_female$Type: Observed Year: 1874 Ex: 3.110000","Age: 89 ex_fr_female$Type: Observed Year: 1875 Ex: 2.870000","Age: 89 ex_fr_female$Type: Observed Year: 1876 Ex: 2.990000","Age: 89 ex_fr_female$Type: Observed Year: 1877 Ex: 3.010000","Age: 89 ex_fr_female$Type: Observed Year: 1878 Ex: 2.940000","Age: 89 ex_fr_female$Type: Observed Year: 1879 Ex: 2.690000","Age: 89 ex_fr_female$Type: Observed Year: 1880 Ex: 3.020000","Age: 89 ex_fr_female$Type: Observed Year: 1881 Ex: 3.220000","Age: 89 ex_fr_female$Type: Observed Year: 1882 Ex: 3.140000","Age: 89 ex_fr_female$Type: Observed Year: 1883 Ex: 2.890000","Age: 89 ex_fr_female$Type: Observed Year: 1884 Ex: 3.010000","Age: 89 ex_fr_female$Type: Observed Year: 1885 Ex: 2.960000","Age: 89 ex_fr_female$Type: Observed Year: 1886 Ex: 2.980000","Age: 89 ex_fr_female$Type: Observed Year: 1887 Ex: 3.080000","Age: 89 ex_fr_female$Type: Observed Year: 1888 Ex: 2.960000","Age: 89 ex_fr_female$Type: Observed Year: 1889 Ex: 3.140000","Age: 89 ex_fr_female$Type: Observed Year: 1890 Ex: 2.820000","Age: 89 ex_fr_female$Type: Observed Year: 1891 Ex: 2.580000","Age: 89 ex_fr_female$Type: Observed Year: 1892 Ex: 2.600000","Age: 89 ex_fr_female$Type: Observed Year: 1893 Ex: 2.650000","Age: 89 ex_fr_female$Type: Observed Year: 1894 Ex: 2.700000","Age: 89 ex_fr_female$Type: Observed Year: 1895 Ex: 2.540000","Age: 89 ex_fr_female$Type: Observed Year: 1896 Ex: 2.990000","Age: 89 ex_fr_female$Type: Observed Year: 1897 Ex: 3.100000","Age: 89 ex_fr_female$Type: Observed Year: 1898 Ex: 2.860000","Age: 89 ex_fr_female$Type: Observed Year: 1899 Ex: 2.730000","Age: 89 ex_fr_female$Type: Observed Year: 1900 Ex: 2.650000","Age: 89 ex_fr_female$Type: Observed Year: 1901 Ex: 2.780000","Age: 89 ex_fr_female$Type: Observed Year: 1902 Ex: 2.830000","Age: 89 ex_fr_female$Type: Observed Year: 1903 Ex: 2.910000","Age: 89 ex_fr_female$Type: Observed Year: 1904 Ex: 2.850000","Age: 89 ex_fr_female$Type: Observed Year: 1905 Ex: 2.660000","Age: 89 ex_fr_female$Type: Observed Year: 1906 Ex: 2.730000","Age: 89 ex_fr_female$Type: Observed Year: 1907 Ex: 2.750000","Age: 89 ex_fr_female$Type: Observed Year: 1908 Ex: 2.890000","Age: 89 ex_fr_female$Type: Observed Year: 1909 Ex: 2.750000","Age: 89 ex_fr_female$Type: Observed Year: 1910 Ex: 2.900000","Age: 89 ex_fr_female$Type: Observed Year: 1911 Ex: 2.630000","Age: 89 ex_fr_female$Type: Observed Year: 1912 Ex: 3.070000","Age: 89 ex_fr_female$Type: Observed Year: 1913 Ex: 2.990000","Age: 89 ex_fr_female$Type: Observed Year: 1914 Ex: 2.700000","Age: 89 ex_fr_female$Type: Observed Year: 1915 Ex: 2.790000","Age: 89 ex_fr_female$Type: Observed Year: 1916 Ex: 2.750000","Age: 89 ex_fr_female$Type: Observed Year: 1917 Ex: 2.590000","Age: 89 ex_fr_female$Type: Observed Year: 1918 Ex: 2.680000","Age: 89 ex_fr_female$Type: Observed Year: 1919 Ex: 2.600000","Age: 89 ex_fr_female$Type: Observed Year: 1920 Ex: 2.990000","Age: 89 ex_fr_female$Type: Observed Year: 1921 Ex: 2.880000","Age: 89 ex_fr_female$Type: Observed Year: 1922 Ex: 2.750000","Age: 89 ex_fr_female$Type: Observed Year: 1923 Ex: 2.990000","Age: 89 ex_fr_female$Type: Observed Year: 1924 Ex: 2.960000","Age: 89 ex_fr_female$Type: Observed Year: 1925 Ex: 2.710000","Age: 89 ex_fr_female$Type: Observed Year: 1926 Ex: 2.870000","Age: 89 ex_fr_female$Type: Observed Year: 1927 Ex: 2.860000","Age: 89 ex_fr_female$Type: Observed Year: 1928 Ex: 2.880000","Age: 89 ex_fr_female$Type: Observed Year: 1929 Ex: 2.590000","Age: 89 ex_fr_female$Type: Observed Year: 1930 Ex: 3.230000","Age: 89 ex_fr_female$Type: Observed Year: 1931 Ex: 2.810000","Age: 89 ex_fr_female$Type: Observed Year: 1932 Ex: 2.920000","Age: 89 ex_fr_female$Type: Observed Year: 1933 Ex: 2.830000","Age: 89 ex_fr_female$Type: Observed Year: 1934 Ex: 3.210000","Age: 89 ex_fr_female$Type: Observed Year: 1935 Ex: 2.980000","Age: 89 ex_fr_female$Type: Observed Year: 1936 Ex: 3.080000","Age: 89 ex_fr_female$Type: Observed Year: 1937 Ex: 3.150000","Age: 89 ex_fr_female$Type: Observed Year: 1938 Ex: 2.980000","Age: 89 ex_fr_female$Type: Observed Year: 1939 Ex: 2.950000","Age: 89 ex_fr_female$Type: Observed Year: 1940 Ex: 2.310000","Age: 89 ex_fr_female$Type: Observed Year: 1941 Ex: 2.750000","Age: 89 ex_fr_female$Type: Observed Year: 1942 Ex: 2.730000","Age: 89 ex_fr_female$Type: Observed Year: 1943 Ex: 2.840000","Age: 89 ex_fr_female$Type: Observed Year: 1944 Ex: 2.560000","Age: 89 ex_fr_female$Type: Observed Year: 1945 Ex: 2.810000","Age: 89 ex_fr_female$Type: Observed Year: 1946 Ex: 3.260000","Age: 89 ex_fr_female$Type: Observed Year: 1947 Ex: 3.400000","Age: 89 ex_fr_female$Type: Observed Year: 1948 Ex: 3.680000","Age: 89 ex_fr_female$Type: Observed Year: 1949 Ex: 3.090000","Age: 89 ex_fr_female$Type: Observed Year: 1950 Ex: 3.370000","Age: 89 ex_fr_female$Type: Observed Year: 1951 Ex: 3.060000","Age: 89 ex_fr_female$Type: Observed Year: 1952 Ex: 3.400000","Age: 89 ex_fr_female$Type: Observed Year: 1953 Ex: 3.090000","Age: 89 ex_fr_female$Type: Observed Year: 1954 Ex: 3.450000","Age: 89 ex_fr_female$Type: Observed Year: 1955 Ex: 3.380000","Age: 89 ex_fr_female$Type: Observed Year: 1956 Ex: 3.160000","Age: 89 ex_fr_female$Type: Observed Year: 1957 Ex: 3.360000","Age: 89 ex_fr_female$Type: Observed Year: 1958 Ex: 3.480000","Age: 89 ex_fr_female$Type: Observed Year: 1959 Ex: 3.520000","Age: 89 ex_fr_female$Type: Observed Year: 1960 Ex: 3.440000","Age: 89 ex_fr_female$Type: Observed Year: 1961 Ex: 3.700000","Age: 89 ex_fr_female$Type: Observed Year: 1962 Ex: 3.440000","Age: 89 ex_fr_female$Type: Observed Year: 1963 Ex: 3.350000","Age: 89 ex_fr_female$Type: Observed Year: 1964 Ex: 3.710000","Age: 89 ex_fr_female$Type: Observed Year: 1965 Ex: 3.560000","Age: 89 ex_fr_female$Type: Observed Year: 1966 Ex: 3.750000","Age: 89 ex_fr_female$Type: Observed Year: 1967 Ex: 3.680000","Age: 89 ex_fr_female$Type: Observed Year: 1968 Ex: 3.610000","Age: 89 ex_fr_female$Type: Observed Year: 1969 Ex: 3.710000","Age: 89 ex_fr_female$Type: Observed Year: 1970 Ex: 3.760000","Age: 89 ex_fr_female$Type: Observed Year: 1971 Ex: 3.670000","Age: 89 ex_fr_female$Type: Observed Year: 1972 Ex: 3.870000","Age: 89 ex_fr_female$Type: Observed Year: 1973 Ex: 3.760000","Age: 89 ex_fr_female$Type: Observed Year: 1974 Ex: 3.810000","Age: 89 ex_fr_female$Type: Observed Year: 1975 Ex: 3.810000","Age: 89 ex_fr_female$Type: Observed Year: 1976 Ex: 3.830000","Age: 89 ex_fr_female$Type: Observed Year: 1977 Ex: 4.050000","Age: 89 ex_fr_female$Type: Observed Year: 1978 Ex: 4.020000","Age: 89 ex_fr_female$Type: Observed Year: 1979 Ex: 4.100000","Age: 89 ex_fr_female$Type: Observed Year: 1980 Ex: 4.040000","Age: 89 ex_fr_female$Type: Observed Year: 1981 Ex: 4.000000","Age: 89 ex_fr_female$Type: Observed Year: 1982 Ex: 4.150000","Age: 89 ex_fr_female$Type: Observed Year: 1983 Ex: 3.990000","Age: 89 ex_fr_female$Type: Observed Year: 1984 Ex: 4.210000","Age: 89 ex_fr_female$Type: Observed Year: 1985 Ex: 4.160000","Age: 89 ex_fr_female$Type: Observed Year: 1986 Ex: 4.190000","Age: 89 ex_fr_female$Type: Observed Year: 1987 Ex: 4.410000","Age: 89 ex_fr_female$Type: Observed Year: 1988 Ex: 4.480000","Age: 89 ex_fr_female$Type: Observed Year: 1989 Ex: 4.410000","Age: 89 ex_fr_female$Type: Observed Year: 1990 Ex: 4.450000","Age: 89 ex_fr_female$Type: Observed Year: 1991 Ex: 4.580000","Age: 89 ex_fr_female$Type: Observed Year: 1992 Ex: 4.660000","Age: 89 ex_fr_female$Type: Observed Year: 1993 Ex: 4.620000","Age: 89 ex_fr_female$Type: Observed Year: 1994 Ex: 4.810000","Age: 89 ex_fr_female$Type: Observed Year: 1995 Ex: 4.760000","Age: 89 ex_fr_female$Type: Observed Year: 1996 Ex: 4.730000","Age: 89 ex_fr_female$Type: Observed Year: 1997 Ex: 4.790000","Age: 89 ex_fr_female$Type: Observed Year: 1998 Ex: 4.810000","Age: 89 ex_fr_female$Type: Observed Year: 1999 Ex: 4.790000","Age: 89 ex_fr_female$Type: Observed Year: 2000 Ex: 4.890000","Age: 89 ex_fr_female$Type: Observed Year: 2001 Ex: 4.940000","Age: 89 ex_fr_female$Type: Observed Year: 2002 Ex: 4.920000","Age: 89 ex_fr_female$Type: Observed Year: 2003 Ex: 4.750000","Age: 89 ex_fr_female$Type: Observed Year: 2004 Ex: 5.290000","Age: 89 ex_fr_female$Type: Observed Year: 2005 Ex: 5.150000","Age: 89 ex_fr_female$Type: Observed Year: 2006 Ex: 5.350000","Age: 89 ex_fr_female$Type: Observed Year: 2007 Ex: 5.380000","Age: 89 ex_fr_female$Type: Observed Year: 2008 Ex: 5.340000","Age: 89 ex_fr_female$Type: Observed Year: 2009 Ex: 5.370000","Age: 89 ex_fr_female$Type: Observed Year: 2010 Ex: 5.430000","Age: 89 ex_fr_female$Type: Observed Year: 2011 Ex: 5.570000","Age: 89 ex_fr_female$Type: Observed Year: 2012 Ex: 5.380000","Age: 89 ex_fr_female$Type: Observed Year: 2013 Ex: 5.470000","Age: 89 ex_fr_female$Type: Observed Year: 2014 Ex: 5.700000","Age: 89 ex_fr_female$Type: Observed Year: 2015 Ex: 5.420000","Age: 89 ex_fr_female$Type: Observed Year: 2016 Ex: 5.520000","Age: 89 ex_fr_female$Type: Observed Year: 2017 Ex: 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89 ex_fr_female$Type: Predicted Year: 1816 Ex: 4.346571","Age: 89 ex_fr_female$Type: Predicted Year: 1817 Ex: 4.220764","Age: 89 ex_fr_female$Type: Predicted Year: 1818 Ex: 4.264423","Age: 89 ex_fr_female$Type: Predicted Year: 1819 Ex: 4.330116","Age: 89 ex_fr_female$Type: Predicted Year: 1820 Ex: 4.120482","Age: 89 ex_fr_female$Type: Predicted Year: 1821 Ex: 4.529662","Age: 89 ex_fr_female$Type: Predicted Year: 1822 Ex: 4.223410","Age: 89 ex_fr_female$Type: Predicted Year: 1823 Ex: 4.089289","Age: 89 ex_fr_female$Type: Predicted Year: 1824 Ex: 4.490640","Age: 89 ex_fr_female$Type: Predicted Year: 1825 Ex: 4.220344","Age: 89 ex_fr_female$Type: Predicted Year: 1826 Ex: 3.917823","Age: 89 ex_fr_female$Type: Predicted Year: 1827 Ex: 4.356509","Age: 89 ex_fr_female$Type: Predicted Year: 1828 Ex: 4.387053","Age: 89 ex_fr_female$Type: Predicted Year: 1829 Ex: 4.028858","Age: 89 ex_fr_female$Type: Predicted Year: 1830 Ex: 4.146719","Age: 89 ex_fr_female$Type: Predicted Year: 1831 Ex: 4.007910","Age: 89 ex_fr_female$Type: Predicted Year: 1832 Ex: 3.952086","Age: 89 ex_fr_female$Type: Predicted Year: 1833 Ex: 4.258355","Age: 89 ex_fr_female$Type: Predicted Year: 1834 Ex: 4.146404","Age: 89 ex_fr_female$Type: Predicted Year: 1835 Ex: 4.071304","Age: 89 ex_fr_female$Type: Predicted Year: 1836 Ex: 4.119014","Age: 89 ex_fr_female$Type: Predicted Year: 1837 Ex: 3.699659","Age: 89 ex_fr_female$Type: Predicted Year: 1838 Ex: 4.142943","Age: 89 ex_fr_female$Type: Predicted Year: 1839 Ex: 4.348205","Age: 89 ex_fr_female$Type: Predicted Year: 1840 Ex: 3.962666","Age: 89 ex_fr_female$Type: Predicted Year: 1841 Ex: 4.033027","Age: 89 ex_fr_female$Type: Predicted Year: 1842 Ex: 3.939211","Age: 89 ex_fr_female$Type: Predicted Year: 1843 Ex: 3.990371","Age: 89 ex_fr_female$Type: Predicted Year: 1844 Ex: 3.995518","Age: 89 ex_fr_female$Type: Predicted Year: 1845 Ex: 4.132566","Age: 89 ex_fr_female$Type: Predicted Year: 1846 Ex: 3.777699","Age: 89 ex_fr_female$Type: Predicted Year: 1847 Ex: 3.612496","Age: 89 ex_fr_female$Type: Predicted Year: 1848 Ex: 3.781199","Age: 89 ex_fr_female$Type: Predicted Year: 1849 Ex: 3.737417","Age: 89 ex_fr_female$Type: Predicted Year: 1850 Ex: 3.969569","Age: 89 ex_fr_female$Type: Predicted Year: 1851 Ex: 3.653042","Age: 89 ex_fr_female$Type: Predicted Year: 1852 Ex: 3.710767","Age: 89 ex_fr_female$Type: Predicted Year: 1853 Ex: 3.429358","Age: 89 ex_fr_female$Type: Predicted Year: 1854 Ex: 3.314564","Age: 89 ex_fr_female$Type: Predicted Year: 1855 Ex: 3.088532","Age: 89 ex_fr_female$Type: Predicted Year: 1856 Ex: 3.492786","Age: 89 ex_fr_female$Type: Predicted Year: 1857 Ex: 3.461713","Age: 89 ex_fr_female$Type: Predicted Year: 1858 Ex: 3.322090","Age: 89 ex_fr_female$Type: Predicted Year: 1859 Ex: 3.378224","Age: 89 ex_fr_female$Type: Predicted Year: 1860 Ex: 3.499303","Age: 89 ex_fr_female$Type: Predicted Year: 1861 Ex: 3.506021","Age: 89 ex_fr_female$Type: Predicted Year: 1862 Ex: 3.564658","Age: 89 ex_fr_female$Type: Predicted Year: 1863 Ex: 3.558165","Age: 89 ex_fr_female$Type: Predicted Year: 1864 Ex: 3.491146","Age: 89 ex_fr_female$Type: Predicted Year: 1865 Ex: 3.394101","Age: 89 ex_fr_female$Type: Predicted Year: 1866 Ex: 3.573496","Age: 89 ex_fr_female$Type: Predicted Year: 1867 Ex: 3.500190","Age: 89 ex_fr_female$Type: Predicted Year: 1868 Ex: 3.401499","Age: 89 ex_fr_female$Type: Predicted Year: 1869 Ex: 3.415409","Age: 89 ex_fr_female$Type: Predicted Year: 1870 Ex: 3.163591","Age: 89 ex_fr_female$Type: Predicted Year: 1871 Ex: 3.046281","Age: 89 ex_fr_female$Type: Predicted Year: 1872 Ex: 3.766230","Age: 89 ex_fr_female$Type: Predicted Year: 1873 Ex: 3.454006","Age: 89 ex_fr_female$Type: Predicted Year: 1874 Ex: 3.542798","Age: 89 ex_fr_female$Type: Predicted Year: 1875 Ex: 3.307974","Age: 89 ex_fr_female$Type: Predicted Year: 1876 Ex: 3.424033","Age: 89 ex_fr_female$Type: Predicted Year: 1877 Ex: 3.439012","Age: 89 ex_fr_female$Type: Predicted Year: 1878 Ex: 3.374707","Age: 89 ex_fr_female$Type: Predicted Year: 1879 Ex: 3.136230","Age: 89 ex_fr_female$Type: Predicted Year: 1880 Ex: 3.456299","Age: 89 ex_fr_female$Type: Predicted Year: 1881 Ex: 3.658514","Age: 89 ex_fr_female$Type: Predicted Year: 1882 Ex: 3.572062","Age: 89 ex_fr_female$Type: Predicted Year: 1883 Ex: 3.330090","Age: 89 ex_fr_female$Type: Predicted Year: 1884 Ex: 3.450783","Age: 89 ex_fr_female$Type: Predicted Year: 1885 Ex: 3.389367","Age: 89 ex_fr_female$Type: Predicted Year: 1886 Ex: 3.415829","Age: 89 ex_fr_female$Type: Predicted Year: 1887 Ex: 3.509121","Age: 89 ex_fr_female$Type: Predicted Year: 1888 Ex: 3.397399","Age: 89 ex_fr_female$Type: Predicted Year: 1889 Ex: 3.574156","Age: 89 ex_fr_female$Type: Predicted Year: 1890 Ex: 3.259147","Age: 89 ex_fr_female$Type: Predicted Year: 1891 Ex: 3.022647","Age: 89 ex_fr_female$Type: Predicted Year: 1892 Ex: 3.044498","Age: 89 ex_fr_female$Type: Predicted Year: 1893 Ex: 3.092171","Age: 89 ex_fr_female$Type: Predicted Year: 1894 Ex: 3.143026","Age: 89 ex_fr_female$Type: Predicted Year: 1895 Ex: 2.977500","Age: 89 ex_fr_female$Type: Predicted Year: 1896 Ex: 3.422234","Age: 89 ex_fr_female$Type: Predicted Year: 1897 Ex: 3.539223","Age: 89 ex_fr_female$Type: Predicted Year: 1898 Ex: 3.300495","Age: 89 ex_fr_female$Type: Predicted Year: 1899 Ex: 3.169333","Age: 89 ex_fr_female$Type: Predicted Year: 1900 Ex: 3.096553","Age: 89 ex_fr_female$Type: Predicted Year: 1901 Ex: 3.224203","Age: 89 ex_fr_female$Type: Predicted Year: 1902 Ex: 3.274974","Age: 89 ex_fr_female$Type: Predicted Year: 1903 Ex: 3.360094","Age: 89 ex_fr_female$Type: Predicted Year: 1904 Ex: 3.286759","Age: 89 ex_fr_female$Type: Predicted Year: 1905 Ex: 3.094773","Age: 89 ex_fr_female$Type: Predicted Year: 1906 Ex: 3.163023","Age: 89 ex_fr_female$Type: Predicted Year: 1907 Ex: 3.184813","Age: 89 ex_fr_female$Type: Predicted Year: 1908 Ex: 3.331311","Age: 89 ex_fr_female$Type: Predicted Year: 1909 Ex: 3.190349","Age: 89 ex_fr_female$Type: Predicted Year: 1910 Ex: 3.333103","Age: 89 ex_fr_female$Type: Predicted Year: 1911 Ex: 3.065427","Age: 89 ex_fr_female$Type: Predicted Year: 1912 Ex: 3.501669","Age: 89 ex_fr_female$Type: Predicted Year: 1913 Ex: 3.429606","Age: 89 ex_fr_female$Type: Predicted Year: 1914 Ex: 3.138256","Age: 89 ex_fr_female$Type: Predicted Year: 1915 Ex: 3.230112","Age: 89 ex_fr_female$Type: Predicted Year: 1916 Ex: 3.187184","Age: 89 ex_fr_female$Type: Predicted Year: 1917 Ex: 3.035963","Age: 89 ex_fr_female$Type: Predicted Year: 1918 Ex: 3.116192","Age: 89 ex_fr_female$Type: Predicted Year: 1919 Ex: 3.038378","Age: 89 ex_fr_female$Type: Predicted Year: 1920 Ex: 3.421817","Age: 89 ex_fr_female$Type: Predicted Year: 1921 Ex: 3.319986","Age: 89 ex_fr_female$Type: Predicted Year: 1922 Ex: 3.185952","Age: 89 ex_fr_female$Type: Predicted Year: 1923 Ex: 3.423384","Age: 89 ex_fr_female$Type: Predicted Year: 1924 Ex: 3.384738","Age: 89 ex_fr_female$Type: Predicted Year: 1925 Ex: 3.145078","Age: 89 ex_fr_female$Type: Predicted Year: 1926 Ex: 3.297082","Age: 89 ex_fr_female$Type: Predicted Year: 1927 Ex: 3.286386","Age: 89 ex_fr_female$Type: Predicted Year: 1928 Ex: 3.312812","Age: 89 ex_fr_female$Type: Predicted Year: 1929 Ex: 3.024868","Age: 89 ex_fr_female$Type: Predicted Year: 1930 Ex: 3.657347","Age: 89 ex_fr_female$Type: Predicted Year: 1931 Ex: 3.242778","Age: 89 ex_fr_female$Type: Predicted Year: 1932 Ex: 3.353273","Age: 89 ex_fr_female$Type: Predicted Year: 1933 Ex: 3.263897","Age: 89 ex_fr_female$Type: Predicted Year: 1934 Ex: 3.630524","Age: 89 ex_fr_female$Type: Predicted Year: 1935 Ex: 3.409170","Age: 89 ex_fr_female$Type: Predicted Year: 1936 Ex: 3.508683","Age: 89 ex_fr_female$Type: Predicted Year: 1937 Ex: 3.566654","Age: 89 ex_fr_female$Type: Predicted Year: 1938 Ex: 3.414958","Age: 89 ex_fr_female$Type: Predicted Year: 1939 Ex: 3.371843","Age: 89 ex_fr_female$Type: Predicted Year: 1940 Ex: 2.744964","Age: 89 ex_fr_female$Type: Predicted Year: 1941 Ex: 3.174787","Age: 89 ex_fr_female$Type: Predicted Year: 1942 Ex: 3.164276","Age: 89 ex_fr_female$Type: Predicted Year: 1943 Ex: 3.269460","Age: 89 ex_fr_female$Type: Predicted Year: 1944 Ex: 2.996909","Age: 89 ex_fr_female$Type: Predicted Year: 1945 Ex: 3.249378","Age: 89 ex_fr_female$Type: Predicted Year: 1946 Ex: 3.676211","Age: 89 ex_fr_female$Type: Predicted Year: 1947 Ex: 3.817345","Age: 89 ex_fr_female$Type: Predicted Year: 1948 Ex: 4.096472","Age: 89 ex_fr_female$Type: Predicted Year: 1949 Ex: 3.511853","Age: 89 ex_fr_female$Type: Predicted Year: 1950 Ex: 3.782749","Age: 89 ex_fr_female$Type: Predicted Year: 1951 Ex: 3.481770","Age: 89 ex_fr_female$Type: Predicted Year: 1952 Ex: 3.817060","Age: 89 ex_fr_female$Type: Predicted Year: 1953 Ex: 3.507673","Age: 89 ex_fr_female$Type: Predicted Year: 1954 Ex: 3.858918","Age: 89 ex_fr_female$Type: Predicted Year: 1955 Ex: 3.790833","Age: 89 ex_fr_female$Type: Predicted Year: 1956 Ex: 3.582548","Age: 89 ex_fr_female$Type: Predicted Year: 1957 Ex: 3.771021","Age: 89 ex_fr_female$Type: Predicted Year: 1958 Ex: 3.897755","Age: 89 ex_fr_female$Type: Predicted Year: 1959 Ex: 3.930042","Age: 89 ex_fr_female$Type: Predicted Year: 1960 Ex: 3.851827","Age: 89 ex_fr_female$Type: Predicted Year: 1961 Ex: 4.101913","Age: 89 ex_fr_female$Type: Predicted Year: 1962 Ex: 3.849991","Age: 89 ex_fr_female$Type: Predicted Year: 1963 Ex: 3.767374","Age: 89 ex_fr_female$Type: Predicted Year: 1964 Ex: 4.119096","Age: 89 ex_fr_female$Type: Predicted Year: 1965 Ex: 3.974482","Age: 89 ex_fr_female$Type: Predicted Year: 1966 Ex: 4.155968","Age: 89 ex_fr_female$Type: Predicted Year: 1967 Ex: 4.087773","Age: 89 ex_fr_female$Type: Predicted Year: 1968 Ex: 4.017323","Age: 89 ex_fr_female$Type: Predicted Year: 1969 Ex: 4.116445","Age: 89 ex_fr_female$Type: Predicted Year: 1970 Ex: 4.167071","Age: 89 ex_fr_female$Type: Predicted Year: 1971 Ex: 4.075912","Age: 89 ex_fr_female$Type: Predicted Year: 1972 Ex: 4.272409","Age: 89 ex_fr_female$Type: Predicted Year: 1973 Ex: 4.165070","Age: 89 ex_fr_female$Type: Predicted Year: 1974 Ex: 4.210217","Age: 89 ex_fr_female$Type: Predicted Year: 1975 Ex: 4.207439","Age: 89 ex_fr_female$Type: Predicted Year: 1976 Ex: 4.228249","Age: 89 ex_fr_female$Type: Predicted Year: 1977 Ex: 4.446930","Age: 89 ex_fr_female$Type: Predicted Year: 1978 Ex: 4.419727","Age: 89 ex_fr_female$Type: Predicted Year: 1979 Ex: 4.490232","Age: 89 ex_fr_female$Type: Predicted Year: 1980 Ex: 4.436643","Age: 89 ex_fr_female$Type: Predicted Year: 1981 Ex: 4.389240","Age: 89 ex_fr_female$Type: Predicted Year: 1982 Ex: 4.543760","Age: 89 ex_fr_female$Type: Predicted Year: 1983 Ex: 4.385769","Age: 89 ex_fr_female$Type: Predicted Year: 1984 Ex: 4.596329","Age: 89 ex_fr_female$Type: Predicted Year: 1985 Ex: 4.551825","Age: 89 ex_fr_female$Type: Predicted Year: 1986 Ex: 4.584185","Age: 89 ex_fr_female$Type: Predicted Year: 1987 Ex: 4.795497","Age: 89 ex_fr_female$Type: Predicted Year: 1988 Ex: 4.860020","Age: 89 ex_fr_female$Type: Predicted Year: 1989 Ex: 4.793829","Age: 89 ex_fr_female$Type: Predicted Year: 1990 Ex: 4.833218","Age: 89 ex_fr_female$Type: Predicted Year: 1991 Ex: 4.958732","Age: 89 ex_fr_female$Type: Predicted Year: 1992 Ex: 5.036871","Age: 89 ex_fr_female$Type: Predicted Year: 1993 Ex: 4.992566","Age: 89 ex_fr_female$Type: Predicted Year: 1994 Ex: 5.186813","Age: 89 ex_fr_female$Type: Predicted Year: 1995 Ex: 5.133120","Age: 89 ex_fr_female$Type: Predicted Year: 1996 Ex: 5.104030","Age: 89 ex_fr_female$Type: Predicted Year: 1997 Ex: 5.161159","Age: 89 ex_fr_female$Type: Predicted Year: 1998 Ex: 5.181378","Age: 89 ex_fr_female$Type: Predicted Year: 1999 Ex: 5.164212","Age: 89 ex_fr_female$Type: Predicted Year: 2000 Ex: 5.262620","Age: 89 ex_fr_female$Type: Predicted Year: 2001 Ex: 5.306626","Age: 89 ex_fr_female$Type: Predicted Year: 2002 Ex: 5.292999","Age: 89 ex_fr_female$Type: Predicted Year: 2003 Ex: 5.121161","Age: 89 ex_fr_female$Type: Predicted Year: 2004 Ex: 5.654401","Age: 89 ex_fr_female$Type: Predicted Year: 2005 Ex: 5.509732","Age: 89 ex_fr_female$Type: Predicted Year: 2006 Ex: 5.706387","Age: 89 ex_fr_female$Type: Predicted Year: 2007 Ex: 5.741559","Age: 89 ex_fr_female$Type: Predicted Year: 2008 Ex: 5.703477","Age: 89 ex_fr_female$Type: Predicted Year: 2009 Ex: 5.727467","Age: 89 ex_fr_female$Type: Predicted Year: 2010 Ex: 5.785381","Age: 89 ex_fr_female$Type: Predicted Year: 2011 Ex: 5.922489","Age: 89 ex_fr_female$Type: Predicted Year: 2012 Ex: 5.736805","Age: 89 ex_fr_female$Type: Predicted Year: 2013 Ex: 5.823718","Age: 89 ex_fr_female$Type: Predicted Year: 2014 Ex: 6.049809","Age: 89 ex_fr_female$Type: Predicted Year: 2015 Ex: 5.776246","Age: 89 ex_fr_female$Type: Predicted Year: 2016 Ex: 5.877102","Age: 89 ex_fr_female$Type: Predicted Year: 2017 Ex: 5.791782"],"frame":"89","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"90","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[3.73,3.54,3.62,3.73,3.5,3.92,3.65,3.46,3.82,3.58,3.32,3.73,3.79,3.43,3.55,3.39,3.37,3.66,3.51,3.46,3.52,3.11,3.55,3.73,3.43,3.43,3.34,3.43,3.39,3.54,3.19,3.07,3.18,3.15,3.39,3.08,3.13,2.87,2.74,2.5,2.96,2.92,2.79,2.84,2.91,2.93,3.02,2.99,2.93,2.86,3.02,2.94,2.82,2.83,2.6,2.49,3.2,2.89,2.96,2.72,2.83,2.83,2.81,2.56,2.87,3.08,2.97,2.73,2.85,2.78,2.84,2.96,2.82,3,2.68,2.41,2.46,2.52,2.54,2.39,2.84,2.95,2.72,2.57,2.52,2.67,2.69,2.86,2.71,2.5,2.58,2.56,2.74,2.61,2.74,2.47,2.89,2.85,2.58,2.65,2.62,2.47,2.53,2.48,2.81,2.75,2.61,2.82,2.77,2.54,2.71,2.68,2.73,2.4,3.08,2.65,2.73,2.68,3.05,2.8,2.9,2.96,2.82,2.75,2.15,2.56,2.56,2.67,2.39,2.65,3.05,3.17,3.47,2.89,3.16,2.89,3.2,2.89,3.22,3.16,2.97,3.13,3.27,3.27,3.2,3.43,3.2,3.14,3.47,3.32,3.51,3.44,3.37,3.48,3.5,3.44,3.61,3.52,3.55,3.56,3.56,3.78,3.73,3.82,3.75,3.72,3.86,3.72,3.9,3.86,3.91,4.12,4.15,4.08,4.12,4.25,4.33,4.29,4.45,4.41,4.37,4.43,4.44,4.42,4.51,4.56,4.54,4.37,4.89,4.76,4.94,4.97,4.94,4.95,5.01,5.13,4.96,5.05,5.25,4.99,5.09,4.99],"text":["Age: 90 ex_fr_female$Type: Observed Year: 1816 Ex: 3.730000","Age: 90 ex_fr_female$Type: Observed Year: 1817 Ex: 3.540000","Age: 90 ex_fr_female$Type: Observed Year: 1818 Ex: 3.620000","Age: 90 ex_fr_female$Type: Observed Year: 1819 Ex: 3.730000","Age: 90 ex_fr_female$Type: Observed Year: 1820 Ex: 3.500000","Age: 90 ex_fr_female$Type: Observed Year: 1821 Ex: 3.920000","Age: 90 ex_fr_female$Type: Observed Year: 1822 Ex: 3.650000","Age: 90 ex_fr_female$Type: Observed Year: 1823 Ex: 3.460000","Age: 90 ex_fr_female$Type: Observed Year: 1824 Ex: 3.820000","Age: 90 ex_fr_female$Type: Observed Year: 1825 Ex: 3.580000","Age: 90 ex_fr_female$Type: Observed Year: 1826 Ex: 3.320000","Age: 90 ex_fr_female$Type: Observed Year: 1827 Ex: 3.730000","Age: 90 ex_fr_female$Type: Observed Year: 1828 Ex: 3.790000","Age: 90 ex_fr_female$Type: Observed Year: 1829 Ex: 3.430000","Age: 90 ex_fr_female$Type: Observed Year: 1830 Ex: 3.550000","Age: 90 ex_fr_female$Type: Observed Year: 1831 Ex: 3.390000","Age: 90 ex_fr_female$Type: Observed Year: 1832 Ex: 3.370000","Age: 90 ex_fr_female$Type: Observed Year: 1833 Ex: 3.660000","Age: 90 ex_fr_female$Type: Observed Year: 1834 Ex: 3.510000","Age: 90 ex_fr_female$Type: Observed Year: 1835 Ex: 3.460000","Age: 90 ex_fr_female$Type: Observed Year: 1836 Ex: 3.520000","Age: 90 ex_fr_female$Type: Observed Year: 1837 Ex: 3.110000","Age: 90 ex_fr_female$Type: Observed Year: 1838 Ex: 3.550000","Age: 90 ex_fr_female$Type: Observed Year: 1839 Ex: 3.730000","Age: 90 ex_fr_female$Type: Observed Year: 1840 Ex: 3.430000","Age: 90 ex_fr_female$Type: Observed Year: 1841 Ex: 3.430000","Age: 90 ex_fr_female$Type: Observed Year: 1842 Ex: 3.340000","Age: 90 ex_fr_female$Type: Observed Year: 1843 Ex: 3.430000","Age: 90 ex_fr_female$Type: Observed Year: 1844 Ex: 3.390000","Age: 90 ex_fr_female$Type: Observed Year: 1845 Ex: 3.540000","Age: 90 ex_fr_female$Type: Observed Year: 1846 Ex: 3.190000","Age: 90 ex_fr_female$Type: Observed Year: 1847 Ex: 3.070000","Age: 90 ex_fr_female$Type: Observed Year: 1848 Ex: 3.180000","Age: 90 ex_fr_female$Type: Observed Year: 1849 Ex: 3.150000","Age: 90 ex_fr_female$Type: Observed Year: 1850 Ex: 3.390000","Age: 90 ex_fr_female$Type: Observed Year: 1851 Ex: 3.080000","Age: 90 ex_fr_female$Type: Observed Year: 1852 Ex: 3.130000","Age: 90 ex_fr_female$Type: Observed Year: 1853 Ex: 2.870000","Age: 90 ex_fr_female$Type: Observed Year: 1854 Ex: 2.740000","Age: 90 ex_fr_female$Type: Observed Year: 1855 Ex: 2.500000","Age: 90 ex_fr_female$Type: Observed Year: 1856 Ex: 2.960000","Age: 90 ex_fr_female$Type: Observed Year: 1857 Ex: 2.920000","Age: 90 ex_fr_female$Type: Observed Year: 1858 Ex: 2.790000","Age: 90 ex_fr_female$Type: Observed Year: 1859 Ex: 2.840000","Age: 90 ex_fr_female$Type: Observed Year: 1860 Ex: 2.910000","Age: 90 ex_fr_female$Type: Observed Year: 1861 Ex: 2.930000","Age: 90 ex_fr_female$Type: Observed Year: 1862 Ex: 3.020000","Age: 90 ex_fr_female$Type: Observed Year: 1863 Ex: 2.990000","Age: 90 ex_fr_female$Type: Observed Year: 1864 Ex: 2.930000","Age: 90 ex_fr_female$Type: Observed Year: 1865 Ex: 2.860000","Age: 90 ex_fr_female$Type: Observed Year: 1866 Ex: 3.020000","Age: 90 ex_fr_female$Type: Observed Year: 1867 Ex: 2.940000","Age: 90 ex_fr_female$Type: Observed Year: 1868 Ex: 2.820000","Age: 90 ex_fr_female$Type: Observed Year: 1869 Ex: 2.830000","Age: 90 ex_fr_female$Type: Observed Year: 1870 Ex: 2.600000","Age: 90 ex_fr_female$Type: Observed Year: 1871 Ex: 2.490000","Age: 90 ex_fr_female$Type: Observed Year: 1872 Ex: 3.200000","Age: 90 ex_fr_female$Type: Observed Year: 1873 Ex: 2.890000","Age: 90 ex_fr_female$Type: Observed Year: 1874 Ex: 2.960000","Age: 90 ex_fr_female$Type: Observed Year: 1875 Ex: 2.720000","Age: 90 ex_fr_female$Type: Observed Year: 1876 Ex: 2.830000","Age: 90 ex_fr_female$Type: Observed Year: 1877 Ex: 2.830000","Age: 90 ex_fr_female$Type: Observed Year: 1878 Ex: 2.810000","Age: 90 ex_fr_female$Type: Observed Year: 1879 Ex: 2.560000","Age: 90 ex_fr_female$Type: Observed Year: 1880 Ex: 2.870000","Age: 90 ex_fr_female$Type: Observed Year: 1881 Ex: 3.080000","Age: 90 ex_fr_female$Type: Observed Year: 1882 Ex: 2.970000","Age: 90 ex_fr_female$Type: Observed Year: 1883 Ex: 2.730000","Age: 90 ex_fr_female$Type: Observed Year: 1884 Ex: 2.850000","Age: 90 ex_fr_female$Type: Observed Year: 1885 Ex: 2.780000","Age: 90 ex_fr_female$Type: Observed Year: 1886 Ex: 2.840000","Age: 90 ex_fr_female$Type: Observed Year: 1887 Ex: 2.960000","Age: 90 ex_fr_female$Type: Observed Year: 1888 Ex: 2.820000","Age: 90 ex_fr_female$Type: Observed Year: 1889 Ex: 3.000000","Age: 90 ex_fr_female$Type: Observed Year: 1890 Ex: 2.680000","Age: 90 ex_fr_female$Type: Observed Year: 1891 Ex: 2.410000","Age: 90 ex_fr_female$Type: Observed Year: 1892 Ex: 2.460000","Age: 90 ex_fr_female$Type: Observed Year: 1893 Ex: 2.520000","Age: 90 ex_fr_female$Type: Observed Year: 1894 Ex: 2.540000","Age: 90 ex_fr_female$Type: Observed Year: 1895 Ex: 2.390000","Age: 90 ex_fr_female$Type: Observed Year: 1896 Ex: 2.840000","Age: 90 ex_fr_female$Type: Observed Year: 1897 Ex: 2.950000","Age: 90 ex_fr_female$Type: Observed Year: 1898 Ex: 2.720000","Age: 90 ex_fr_female$Type: Observed Year: 1899 Ex: 2.570000","Age: 90 ex_fr_female$Type: Observed Year: 1900 Ex: 2.520000","Age: 90 ex_fr_female$Type: Observed Year: 1901 Ex: 2.670000","Age: 90 ex_fr_female$Type: Observed Year: 1902 Ex: 2.690000","Age: 90 ex_fr_female$Type: Observed Year: 1903 Ex: 2.860000","Age: 90 ex_fr_female$Type: Observed Year: 1904 Ex: 2.710000","Age: 90 ex_fr_female$Type: Observed Year: 1905 Ex: 2.500000","Age: 90 ex_fr_female$Type: Observed Year: 1906 Ex: 2.580000","Age: 90 ex_fr_female$Type: Observed Year: 1907 Ex: 2.560000","Age: 90 ex_fr_female$Type: Observed Year: 1908 Ex: 2.740000","Age: 90 ex_fr_female$Type: Observed Year: 1909 Ex: 2.610000","Age: 90 ex_fr_female$Type: Observed Year: 1910 Ex: 2.740000","Age: 90 ex_fr_female$Type: Observed Year: 1911 Ex: 2.470000","Age: 90 ex_fr_female$Type: Observed Year: 1912 Ex: 2.890000","Age: 90 ex_fr_female$Type: Observed Year: 1913 Ex: 2.850000","Age: 90 ex_fr_female$Type: Observed Year: 1914 Ex: 2.580000","Age: 90 ex_fr_female$Type: Observed Year: 1915 Ex: 2.650000","Age: 90 ex_fr_female$Type: Observed Year: 1916 Ex: 2.620000","Age: 90 ex_fr_female$Type: Observed Year: 1917 Ex: 2.470000","Age: 90 ex_fr_female$Type: Observed Year: 1918 Ex: 2.530000","Age: 90 ex_fr_female$Type: Observed Year: 1919 Ex: 2.480000","Age: 90 ex_fr_female$Type: Observed Year: 1920 Ex: 2.810000","Age: 90 ex_fr_female$Type: Observed Year: 1921 Ex: 2.750000","Age: 90 ex_fr_female$Type: Observed Year: 1922 Ex: 2.610000","Age: 90 ex_fr_female$Type: Observed Year: 1923 Ex: 2.820000","Age: 90 ex_fr_female$Type: Observed Year: 1924 Ex: 2.770000","Age: 90 ex_fr_female$Type: Observed Year: 1925 Ex: 2.540000","Age: 90 ex_fr_female$Type: Observed Year: 1926 Ex: 2.710000","Age: 90 ex_fr_female$Type: Observed Year: 1927 Ex: 2.680000","Age: 90 ex_fr_female$Type: Observed Year: 1928 Ex: 2.730000","Age: 90 ex_fr_female$Type: Observed Year: 1929 Ex: 2.400000","Age: 90 ex_fr_female$Type: Observed Year: 1930 Ex: 3.080000","Age: 90 ex_fr_female$Type: Observed Year: 1931 Ex: 2.650000","Age: 90 ex_fr_female$Type: Observed Year: 1932 Ex: 2.730000","Age: 90 ex_fr_female$Type: Observed Year: 1933 Ex: 2.680000","Age: 90 ex_fr_female$Type: Observed Year: 1934 Ex: 3.050000","Age: 90 ex_fr_female$Type: Observed Year: 1935 Ex: 2.800000","Age: 90 ex_fr_female$Type: Observed Year: 1936 Ex: 2.900000","Age: 90 ex_fr_female$Type: Observed Year: 1937 Ex: 2.960000","Age: 90 ex_fr_female$Type: Observed Year: 1938 Ex: 2.820000","Age: 90 ex_fr_female$Type: Observed Year: 1939 Ex: 2.750000","Age: 90 ex_fr_female$Type: Observed Year: 1940 Ex: 2.150000","Age: 90 ex_fr_female$Type: Observed Year: 1941 Ex: 2.560000","Age: 90 ex_fr_female$Type: Observed Year: 1942 Ex: 2.560000","Age: 90 ex_fr_female$Type: Observed Year: 1943 Ex: 2.670000","Age: 90 ex_fr_female$Type: Observed Year: 1944 Ex: 2.390000","Age: 90 ex_fr_female$Type: Observed Year: 1945 Ex: 2.650000","Age: 90 ex_fr_female$Type: Observed Year: 1946 Ex: 3.050000","Age: 90 ex_fr_female$Type: Observed Year: 1947 Ex: 3.170000","Age: 90 ex_fr_female$Type: Observed Year: 1948 Ex: 3.470000","Age: 90 ex_fr_female$Type: Observed Year: 1949 Ex: 2.890000","Age: 90 ex_fr_female$Type: Observed Year: 1950 Ex: 3.160000","Age: 90 ex_fr_female$Type: Observed Year: 1951 Ex: 2.890000","Age: 90 ex_fr_female$Type: Observed Year: 1952 Ex: 3.200000","Age: 90 ex_fr_female$Type: Observed Year: 1953 Ex: 2.890000","Age: 90 ex_fr_female$Type: Observed Year: 1954 Ex: 3.220000","Age: 90 ex_fr_female$Type: Observed Year: 1955 Ex: 3.160000","Age: 90 ex_fr_female$Type: Observed Year: 1956 Ex: 2.970000","Age: 90 ex_fr_female$Type: Observed Year: 1957 Ex: 3.130000","Age: 90 ex_fr_female$Type: Observed Year: 1958 Ex: 3.270000","Age: 90 ex_fr_female$Type: Observed Year: 1959 Ex: 3.270000","Age: 90 ex_fr_female$Type: Observed Year: 1960 Ex: 3.200000","Age: 90 ex_fr_female$Type: Observed Year: 1961 Ex: 3.430000","Age: 90 ex_fr_female$Type: Observed Year: 1962 Ex: 3.200000","Age: 90 ex_fr_female$Type: Observed Year: 1963 Ex: 3.140000","Age: 90 ex_fr_female$Type: Observed Year: 1964 Ex: 3.470000","Age: 90 ex_fr_female$Type: Observed Year: 1965 Ex: 3.320000","Age: 90 ex_fr_female$Type: Observed Year: 1966 Ex: 3.510000","Age: 90 ex_fr_female$Type: Observed Year: 1967 Ex: 3.440000","Age: 90 ex_fr_female$Type: Observed Year: 1968 Ex: 3.370000","Age: 90 ex_fr_female$Type: Observed Year: 1969 Ex: 3.480000","Age: 90 ex_fr_female$Type: Observed Year: 1970 Ex: 3.500000","Age: 90 ex_fr_female$Type: Observed Year: 1971 Ex: 3.440000","Age: 90 ex_fr_female$Type: Observed Year: 1972 Ex: 3.610000","Age: 90 ex_fr_female$Type: Observed Year: 1973 Ex: 3.520000","Age: 90 ex_fr_female$Type: Observed Year: 1974 Ex: 3.550000","Age: 90 ex_fr_female$Type: Observed Year: 1975 Ex: 3.560000","Age: 90 ex_fr_female$Type: Observed Year: 1976 Ex: 3.560000","Age: 90 ex_fr_female$Type: Observed Year: 1977 Ex: 3.780000","Age: 90 ex_fr_female$Type: Observed Year: 1978 Ex: 3.730000","Age: 90 ex_fr_female$Type: Observed Year: 1979 Ex: 3.820000","Age: 90 ex_fr_female$Type: Observed Year: 1980 Ex: 3.750000","Age: 90 ex_fr_female$Type: Observed Year: 1981 Ex: 3.720000","Age: 90 ex_fr_female$Type: Observed Year: 1982 Ex: 3.860000","Age: 90 ex_fr_female$Type: Observed Year: 1983 Ex: 3.720000","Age: 90 ex_fr_female$Type: Observed Year: 1984 Ex: 3.900000","Age: 90 ex_fr_female$Type: Observed Year: 1985 Ex: 3.860000","Age: 90 ex_fr_female$Type: Observed Year: 1986 Ex: 3.910000","Age: 90 ex_fr_female$Type: Observed Year: 1987 Ex: 4.120000","Age: 90 ex_fr_female$Type: Observed Year: 1988 Ex: 4.150000","Age: 90 ex_fr_female$Type: Observed Year: 1989 Ex: 4.080000","Age: 90 ex_fr_female$Type: Observed Year: 1990 Ex: 4.120000","Age: 90 ex_fr_female$Type: Observed Year: 1991 Ex: 4.250000","Age: 90 ex_fr_female$Type: Observed Year: 1992 Ex: 4.330000","Age: 90 ex_fr_female$Type: Observed Year: 1993 Ex: 4.290000","Age: 90 ex_fr_female$Type: Observed Year: 1994 Ex: 4.450000","Age: 90 ex_fr_female$Type: Observed Year: 1995 Ex: 4.410000","Age: 90 ex_fr_female$Type: Observed Year: 1996 Ex: 4.370000","Age: 90 ex_fr_female$Type: Observed Year: 1997 Ex: 4.430000","Age: 90 ex_fr_female$Type: Observed Year: 1998 Ex: 4.440000","Age: 90 ex_fr_female$Type: Observed Year: 1999 Ex: 4.420000","Age: 90 ex_fr_female$Type: Observed Year: 2000 Ex: 4.510000","Age: 90 ex_fr_female$Type: Observed Year: 2001 Ex: 4.560000","Age: 90 ex_fr_female$Type: Observed Year: 2002 Ex: 4.540000","Age: 90 ex_fr_female$Type: Observed Year: 2003 Ex: 4.370000","Age: 90 ex_fr_female$Type: Observed Year: 2004 Ex: 4.890000","Age: 90 ex_fr_female$Type: Observed Year: 2005 Ex: 4.760000","Age: 90 ex_fr_female$Type: Observed Year: 2006 Ex: 4.940000","Age: 90 ex_fr_female$Type: Observed Year: 2007 Ex: 4.970000","Age: 90 ex_fr_female$Type: Observed Year: 2008 Ex: 4.940000","Age: 90 ex_fr_female$Type: Observed Year: 2009 Ex: 4.950000","Age: 90 ex_fr_female$Type: Observed Year: 2010 Ex: 5.010000","Age: 90 ex_fr_female$Type: Observed Year: 2011 Ex: 5.130000","Age: 90 ex_fr_female$Type: Observed Year: 2012 Ex: 4.960000","Age: 90 ex_fr_female$Type: Observed Year: 2013 Ex: 5.050000","Age: 90 ex_fr_female$Type: Observed Year: 2014 Ex: 5.250000","Age: 90 ex_fr_female$Type: Observed Year: 2015 Ex: 4.990000","Age: 90 ex_fr_female$Type: Observed Year: 2016 Ex: 5.090000","Age: 90 ex_fr_female$Type: Observed Year: 2017 Ex: 4.990000"],"frame":"90","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[4.16570804722356,3.9747068145233,4.05455977716745,4.15913401729117,3.93456576830313,4.34844498335142,4.0786925442949,3.89458250134739,4.25218378580632,4.01642828245977,3.7534549426343,4.1647034301675,4.22066748414106,3.86051677279972,3.98030830087552,3.820324086344,3.80467038660525,4.08765683585528,3.94619593340077,3.89200251223495,3.95040689396313,3.55617406788831,3.98540533520585,4.16566403854495,3.86597418882827,3.86853885584458,3.77777791146277,3.86410274233747,3.82767103637501,3.97073093436035,3.62246520675767,3.50235035604342,3.6117199395455,3.5865173691311,3.8178532286882,3.51830090447761,3.56947045867412,3.31518705592773,3.18892525281819,2.95019800783146,3.3989447183089,3.3610558756684,3.23412517937698,3.28587411882583,3.35147011146515,3.38023106127099,3.46848740612346,3.43312430638768,3.37420093304518,3.30071264043591,3.45312359513138,3.37743044370896,3.26237147578519,3.27502945524728,3.04824974553855,2.94334713808172,3.62978942977676,3.33026178127768,3.39947416981954,3.16085653844424,3.27110133263098,3.26807476481605,3.25335598038038,3.00492745995471,3.31066212982915,3.51825548194735,3.41291344647887,3.17702317096855,3.28974290048903,3.2141085084299,3.27323289809226,3.38857772511524,3.25399917046591,3.43007248189968,3.12488520347021,2.8574771272784,2.91032984444668,2.96752438816553,2.98612020483887,2.83450982438403,3.27476212063884,3.39117661913658,3.16376414748088,3.01293416832905,2.96594547201307,3.10754540235964,3.13133813509217,3.29445969120144,3.15516236035968,2.93803931227903,3.02185564272245,3.0118153977852,3.17872190282759,3.05375197591573,3.18554690682825,2.91183727622549,3.32321427371224,3.29241009843153,3.01328152354301,3.08575440538202,3.05297457483469,2.91190526297124,2.97062942696249,2.91917169013827,3.2436715935096,3.1860721067313,3.05181713754132,3.24994213928228,3.206198926464,2.98115613091708,3.14183638261116,3.11288422467647,3.16544834744511,2.8465763309815,3.5034279934382,3.09216707175518,3.16391345213202,3.11492842782438,3.47913221699524,3.23261898691742,3.32997115565257,3.380908883803,3.25523557964911,3.18165901240091,2.59669143429539,2.99688385276103,2.99223411023495,3.09879850271852,2.83423188276835,3.09242579049455,3.47266720807254,3.59410106519194,3.88256639954311,3.32045666482748,3.58295986700321,3.31335818084627,3.61625234622316,3.31585148889205,3.64025691617765,3.58527662779773,3.39698995029396,3.55473035876463,3.69359386895444,3.68990229623953,3.61638572433035,3.84472450482786,3.6190819356133,3.55898704659968,3.88208893035169,3.74230157912345,3.92253692445266,3.8506562817146,3.78707077827246,3.88639846802703,3.91111215535129,3.85197317075818,4.01919201142723,3.92711102937523,3.96211211771379,3.96502636925393,3.96957903727908,4.18623119959457,4.13255985011475,4.21864231434729,4.15067838580638,4.12089875586032,4.25400391146186,4.11844955454513,4.29925840355648,4.25280511435718,4.30863850844319,4.51173498202588,4.53895505712261,4.47014598517463,4.50984279781426,4.63323887138735,4.7089951950158,4.67213926869155,4.83416847542611,4.78541180225897,4.74869398838828,4.81222129941692,4.82081891108974,4.80317084001845,4.88762106837149,4.9324918727893,4.91806920265192,4.74900165477798,5.25692494290128,5.13031266407758,5.30560410119696,5.33674062821725,5.30270869946644,5.31883015443995,5.37139060406922,5.49255614410857,5.31906261414878,5.41006513261512,5.60559669258133,5.3535481929552,5.44782140833405,5.34998406725014],"text":["Age: 90 ex_fr_female$Type: Predicted Year: 1816 Ex: 4.165708","Age: 90 ex_fr_female$Type: Predicted Year: 1817 Ex: 3.974707","Age: 90 ex_fr_female$Type: Predicted Year: 1818 Ex: 4.054560","Age: 90 ex_fr_female$Type: Predicted Year: 1819 Ex: 4.159134","Age: 90 ex_fr_female$Type: Predicted Year: 1820 Ex: 3.934566","Age: 90 ex_fr_female$Type: Predicted Year: 1821 Ex: 4.348445","Age: 90 ex_fr_female$Type: Predicted Year: 1822 Ex: 4.078693","Age: 90 ex_fr_female$Type: Predicted Year: 1823 Ex: 3.894583","Age: 90 ex_fr_female$Type: Predicted Year: 1824 Ex: 4.252184","Age: 90 ex_fr_female$Type: Predicted Year: 1825 Ex: 4.016428","Age: 90 ex_fr_female$Type: Predicted Year: 1826 Ex: 3.753455","Age: 90 ex_fr_female$Type: Predicted Year: 1827 Ex: 4.164703","Age: 90 ex_fr_female$Type: Predicted Year: 1828 Ex: 4.220667","Age: 90 ex_fr_female$Type: Predicted Year: 1829 Ex: 3.860517","Age: 90 ex_fr_female$Type: Predicted Year: 1830 Ex: 3.980308","Age: 90 ex_fr_female$Type: Predicted Year: 1831 Ex: 3.820324","Age: 90 ex_fr_female$Type: Predicted Year: 1832 Ex: 3.804670","Age: 90 ex_fr_female$Type: Predicted Year: 1833 Ex: 4.087657","Age: 90 ex_fr_female$Type: Predicted Year: 1834 Ex: 3.946196","Age: 90 ex_fr_female$Type: Predicted Year: 1835 Ex: 3.892003","Age: 90 ex_fr_female$Type: Predicted Year: 1836 Ex: 3.950407","Age: 90 ex_fr_female$Type: Predicted Year: 1837 Ex: 3.556174","Age: 90 ex_fr_female$Type: Predicted Year: 1838 Ex: 3.985405","Age: 90 ex_fr_female$Type: Predicted Year: 1839 Ex: 4.165664","Age: 90 ex_fr_female$Type: Predicted Year: 1840 Ex: 3.865974","Age: 90 ex_fr_female$Type: Predicted Year: 1841 Ex: 3.868539","Age: 90 ex_fr_female$Type: Predicted Year: 1842 Ex: 3.777778","Age: 90 ex_fr_female$Type: Predicted Year: 1843 Ex: 3.864103","Age: 90 ex_fr_female$Type: Predicted Year: 1844 Ex: 3.827671","Age: 90 ex_fr_female$Type: Predicted Year: 1845 Ex: 3.970731","Age: 90 ex_fr_female$Type: Predicted Year: 1846 Ex: 3.622465","Age: 90 ex_fr_female$Type: Predicted Year: 1847 Ex: 3.502350","Age: 90 ex_fr_female$Type: Predicted Year: 1848 Ex: 3.611720","Age: 90 ex_fr_female$Type: Predicted Year: 1849 Ex: 3.586517","Age: 90 ex_fr_female$Type: Predicted Year: 1850 Ex: 3.817853","Age: 90 ex_fr_female$Type: Predicted Year: 1851 Ex: 3.518301","Age: 90 ex_fr_female$Type: Predicted Year: 1852 Ex: 3.569470","Age: 90 ex_fr_female$Type: Predicted Year: 1853 Ex: 3.315187","Age: 90 ex_fr_female$Type: Predicted Year: 1854 Ex: 3.188925","Age: 90 ex_fr_female$Type: Predicted Year: 1855 Ex: 2.950198","Age: 90 ex_fr_female$Type: Predicted Year: 1856 Ex: 3.398945","Age: 90 ex_fr_female$Type: Predicted Year: 1857 Ex: 3.361056","Age: 90 ex_fr_female$Type: Predicted Year: 1858 Ex: 3.234125","Age: 90 ex_fr_female$Type: Predicted Year: 1859 Ex: 3.285874","Age: 90 ex_fr_female$Type: Predicted Year: 1860 Ex: 3.351470","Age: 90 ex_fr_female$Type: Predicted Year: 1861 Ex: 3.380231","Age: 90 ex_fr_female$Type: Predicted Year: 1862 Ex: 3.468487","Age: 90 ex_fr_female$Type: Predicted Year: 1863 Ex: 3.433124","Age: 90 ex_fr_female$Type: Predicted Year: 1864 Ex: 3.374201","Age: 90 ex_fr_female$Type: Predicted Year: 1865 Ex: 3.300713","Age: 90 ex_fr_female$Type: Predicted Year: 1866 Ex: 3.453124","Age: 90 ex_fr_female$Type: Predicted Year: 1867 Ex: 3.377430","Age: 90 ex_fr_female$Type: Predicted Year: 1868 Ex: 3.262371","Age: 90 ex_fr_female$Type: Predicted Year: 1869 Ex: 3.275029","Age: 90 ex_fr_female$Type: Predicted Year: 1870 Ex: 3.048250","Age: 90 ex_fr_female$Type: Predicted Year: 1871 Ex: 2.943347","Age: 90 ex_fr_female$Type: Predicted Year: 1872 Ex: 3.629789","Age: 90 ex_fr_female$Type: Predicted Year: 1873 Ex: 3.330262","Age: 90 ex_fr_female$Type: Predicted Year: 1874 Ex: 3.399474","Age: 90 ex_fr_female$Type: Predicted Year: 1875 Ex: 3.160857","Age: 90 ex_fr_female$Type: Predicted Year: 1876 Ex: 3.271101","Age: 90 ex_fr_female$Type: Predicted Year: 1877 Ex: 3.268075","Age: 90 ex_fr_female$Type: Predicted Year: 1878 Ex: 3.253356","Age: 90 ex_fr_female$Type: Predicted Year: 1879 Ex: 3.004927","Age: 90 ex_fr_female$Type: Predicted Year: 1880 Ex: 3.310662","Age: 90 ex_fr_female$Type: Predicted Year: 1881 Ex: 3.518255","Age: 90 ex_fr_female$Type: Predicted Year: 1882 Ex: 3.412913","Age: 90 ex_fr_female$Type: Predicted Year: 1883 Ex: 3.177023","Age: 90 ex_fr_female$Type: Predicted Year: 1884 Ex: 3.289743","Age: 90 ex_fr_female$Type: Predicted Year: 1885 Ex: 3.214109","Age: 90 ex_fr_female$Type: Predicted Year: 1886 Ex: 3.273233","Age: 90 ex_fr_female$Type: Predicted Year: 1887 Ex: 3.388578","Age: 90 ex_fr_female$Type: Predicted Year: 1888 Ex: 3.253999","Age: 90 ex_fr_female$Type: Predicted Year: 1889 Ex: 3.430072","Age: 90 ex_fr_female$Type: Predicted Year: 1890 Ex: 3.124885","Age: 90 ex_fr_female$Type: Predicted Year: 1891 Ex: 2.857477","Age: 90 ex_fr_female$Type: Predicted Year: 1892 Ex: 2.910330","Age: 90 ex_fr_female$Type: Predicted Year: 1893 Ex: 2.967524","Age: 90 ex_fr_female$Type: Predicted Year: 1894 Ex: 2.986120","Age: 90 ex_fr_female$Type: Predicted Year: 1895 Ex: 2.834510","Age: 90 ex_fr_female$Type: Predicted Year: 1896 Ex: 3.274762","Age: 90 ex_fr_female$Type: Predicted Year: 1897 Ex: 3.391177","Age: 90 ex_fr_female$Type: Predicted Year: 1898 Ex: 3.163764","Age: 90 ex_fr_female$Type: Predicted Year: 1899 Ex: 3.012934","Age: 90 ex_fr_female$Type: Predicted Year: 1900 Ex: 2.965945","Age: 90 ex_fr_female$Type: Predicted Year: 1901 Ex: 3.107545","Age: 90 ex_fr_female$Type: Predicted Year: 1902 Ex: 3.131338","Age: 90 ex_fr_female$Type: Predicted Year: 1903 Ex: 3.294460","Age: 90 ex_fr_female$Type: Predicted Year: 1904 Ex: 3.155162","Age: 90 ex_fr_female$Type: Predicted Year: 1905 Ex: 2.938039","Age: 90 ex_fr_female$Type: Predicted Year: 1906 Ex: 3.021856","Age: 90 ex_fr_female$Type: Predicted Year: 1907 Ex: 3.011815","Age: 90 ex_fr_female$Type: Predicted Year: 1908 Ex: 3.178722","Age: 90 ex_fr_female$Type: Predicted Year: 1909 Ex: 3.053752","Age: 90 ex_fr_female$Type: Predicted Year: 1910 Ex: 3.185547","Age: 90 ex_fr_female$Type: Predicted Year: 1911 Ex: 2.911837","Age: 90 ex_fr_female$Type: Predicted Year: 1912 Ex: 3.323214","Age: 90 ex_fr_female$Type: Predicted Year: 1913 Ex: 3.292410","Age: 90 ex_fr_female$Type: Predicted Year: 1914 Ex: 3.013282","Age: 90 ex_fr_female$Type: Predicted Year: 1915 Ex: 3.085754","Age: 90 ex_fr_female$Type: Predicted Year: 1916 Ex: 3.052975","Age: 90 ex_fr_female$Type: Predicted Year: 1917 Ex: 2.911905","Age: 90 ex_fr_female$Type: Predicted Year: 1918 Ex: 2.970629","Age: 90 ex_fr_female$Type: Predicted Year: 1919 Ex: 2.919172","Age: 90 ex_fr_female$Type: Predicted Year: 1920 Ex: 3.243672","Age: 90 ex_fr_female$Type: Predicted Year: 1921 Ex: 3.186072","Age: 90 ex_fr_female$Type: Predicted Year: 1922 Ex: 3.051817","Age: 90 ex_fr_female$Type: Predicted Year: 1923 Ex: 3.249942","Age: 90 ex_fr_female$Type: Predicted Year: 1924 Ex: 3.206199","Age: 90 ex_fr_female$Type: Predicted Year: 1925 Ex: 2.981156","Age: 90 ex_fr_female$Type: Predicted Year: 1926 Ex: 3.141836","Age: 90 ex_fr_female$Type: Predicted Year: 1927 Ex: 3.112884","Age: 90 ex_fr_female$Type: Predicted Year: 1928 Ex: 3.165448","Age: 90 ex_fr_female$Type: Predicted Year: 1929 Ex: 2.846576","Age: 90 ex_fr_female$Type: Predicted Year: 1930 Ex: 3.503428","Age: 90 ex_fr_female$Type: Predicted Year: 1931 Ex: 3.092167","Age: 90 ex_fr_female$Type: Predicted Year: 1932 Ex: 3.163913","Age: 90 ex_fr_female$Type: Predicted Year: 1933 Ex: 3.114928","Age: 90 ex_fr_female$Type: Predicted Year: 1934 Ex: 3.479132","Age: 90 ex_fr_female$Type: Predicted Year: 1935 Ex: 3.232619","Age: 90 ex_fr_female$Type: Predicted Year: 1936 Ex: 3.329971","Age: 90 ex_fr_female$Type: Predicted Year: 1937 Ex: 3.380909","Age: 90 ex_fr_female$Type: Predicted Year: 1938 Ex: 3.255236","Age: 90 ex_fr_female$Type: Predicted Year: 1939 Ex: 3.181659","Age: 90 ex_fr_female$Type: Predicted Year: 1940 Ex: 2.596691","Age: 90 ex_fr_female$Type: Predicted Year: 1941 Ex: 2.996884","Age: 90 ex_fr_female$Type: Predicted Year: 1942 Ex: 2.992234","Age: 90 ex_fr_female$Type: Predicted Year: 1943 Ex: 3.098799","Age: 90 ex_fr_female$Type: Predicted Year: 1944 Ex: 2.834232","Age: 90 ex_fr_female$Type: Predicted Year: 1945 Ex: 3.092426","Age: 90 ex_fr_female$Type: Predicted Year: 1946 Ex: 3.472667","Age: 90 ex_fr_female$Type: Predicted Year: 1947 Ex: 3.594101","Age: 90 ex_fr_female$Type: Predicted Year: 1948 Ex: 3.882566","Age: 90 ex_fr_female$Type: Predicted Year: 1949 Ex: 3.320457","Age: 90 ex_fr_female$Type: Predicted Year: 1950 Ex: 3.582960","Age: 90 ex_fr_female$Type: Predicted Year: 1951 Ex: 3.313358","Age: 90 ex_fr_female$Type: Predicted Year: 1952 Ex: 3.616252","Age: 90 ex_fr_female$Type: Predicted Year: 1953 Ex: 3.315851","Age: 90 ex_fr_female$Type: Predicted Year: 1954 Ex: 3.640257","Age: 90 ex_fr_female$Type: Predicted Year: 1955 Ex: 3.585277","Age: 90 ex_fr_female$Type: Predicted Year: 1956 Ex: 3.396990","Age: 90 ex_fr_female$Type: Predicted Year: 1957 Ex: 3.554730","Age: 90 ex_fr_female$Type: Predicted Year: 1958 Ex: 3.693594","Age: 90 ex_fr_female$Type: Predicted Year: 1959 Ex: 3.689902","Age: 90 ex_fr_female$Type: Predicted Year: 1960 Ex: 3.616386","Age: 90 ex_fr_female$Type: Predicted Year: 1961 Ex: 3.844725","Age: 90 ex_fr_female$Type: Predicted Year: 1962 Ex: 3.619082","Age: 90 ex_fr_female$Type: Predicted Year: 1963 Ex: 3.558987","Age: 90 ex_fr_female$Type: Predicted Year: 1964 Ex: 3.882089","Age: 90 ex_fr_female$Type: Predicted Year: 1965 Ex: 3.742302","Age: 90 ex_fr_female$Type: Predicted Year: 1966 Ex: 3.922537","Age: 90 ex_fr_female$Type: Predicted Year: 1967 Ex: 3.850656","Age: 90 ex_fr_female$Type: Predicted Year: 1968 Ex: 3.787071","Age: 90 ex_fr_female$Type: Predicted Year: 1969 Ex: 3.886398","Age: 90 ex_fr_female$Type: Predicted Year: 1970 Ex: 3.911112","Age: 90 ex_fr_female$Type: Predicted Year: 1971 Ex: 3.851973","Age: 90 ex_fr_female$Type: Predicted Year: 1972 Ex: 4.019192","Age: 90 ex_fr_female$Type: Predicted Year: 1973 Ex: 3.927111","Age: 90 ex_fr_female$Type: Predicted Year: 1974 Ex: 3.962112","Age: 90 ex_fr_female$Type: Predicted Year: 1975 Ex: 3.965026","Age: 90 ex_fr_female$Type: Predicted Year: 1976 Ex: 3.969579","Age: 90 ex_fr_female$Type: Predicted Year: 1977 Ex: 4.186231","Age: 90 ex_fr_female$Type: Predicted Year: 1978 Ex: 4.132560","Age: 90 ex_fr_female$Type: Predicted Year: 1979 Ex: 4.218642","Age: 90 ex_fr_female$Type: Predicted Year: 1980 Ex: 4.150678","Age: 90 ex_fr_female$Type: Predicted Year: 1981 Ex: 4.120899","Age: 90 ex_fr_female$Type: Predicted Year: 1982 Ex: 4.254004","Age: 90 ex_fr_female$Type: Predicted Year: 1983 Ex: 4.118450","Age: 90 ex_fr_female$Type: Predicted Year: 1984 Ex: 4.299258","Age: 90 ex_fr_female$Type: Predicted Year: 1985 Ex: 4.252805","Age: 90 ex_fr_female$Type: Predicted Year: 1986 Ex: 4.308639","Age: 90 ex_fr_female$Type: Predicted Year: 1987 Ex: 4.511735","Age: 90 ex_fr_female$Type: Predicted Year: 1988 Ex: 4.538955","Age: 90 ex_fr_female$Type: Predicted Year: 1989 Ex: 4.470146","Age: 90 ex_fr_female$Type: Predicted Year: 1990 Ex: 4.509843","Age: 90 ex_fr_female$Type: Predicted Year: 1991 Ex: 4.633239","Age: 90 ex_fr_female$Type: Predicted Year: 1992 Ex: 4.708995","Age: 90 ex_fr_female$Type: Predicted Year: 1993 Ex: 4.672139","Age: 90 ex_fr_female$Type: Predicted Year: 1994 Ex: 4.834168","Age: 90 ex_fr_female$Type: Predicted Year: 1995 Ex: 4.785412","Age: 90 ex_fr_female$Type: Predicted Year: 1996 Ex: 4.748694","Age: 90 ex_fr_female$Type: Predicted Year: 1997 Ex: 4.812221","Age: 90 ex_fr_female$Type: Predicted Year: 1998 Ex: 4.820819","Age: 90 ex_fr_female$Type: Predicted Year: 1999 Ex: 4.803171","Age: 90 ex_fr_female$Type: Predicted Year: 2000 Ex: 4.887621","Age: 90 ex_fr_female$Type: Predicted Year: 2001 Ex: 4.932492","Age: 90 ex_fr_female$Type: Predicted Year: 2002 Ex: 4.918069","Age: 90 ex_fr_female$Type: Predicted Year: 2003 Ex: 4.749002","Age: 90 ex_fr_female$Type: Predicted Year: 2004 Ex: 5.256925","Age: 90 ex_fr_female$Type: Predicted Year: 2005 Ex: 5.130313","Age: 90 ex_fr_female$Type: Predicted Year: 2006 Ex: 5.305604","Age: 90 ex_fr_female$Type: Predicted Year: 2007 Ex: 5.336741","Age: 90 ex_fr_female$Type: Predicted Year: 2008 Ex: 5.302709","Age: 90 ex_fr_female$Type: Predicted Year: 2009 Ex: 5.318830","Age: 90 ex_fr_female$Type: Predicted Year: 2010 Ex: 5.371391","Age: 90 ex_fr_female$Type: Predicted Year: 2011 Ex: 5.492556","Age: 90 ex_fr_female$Type: Predicted Year: 2012 Ex: 5.319063","Age: 90 ex_fr_female$Type: Predicted Year: 2013 Ex: 5.410065","Age: 90 ex_fr_female$Type: Predicted Year: 2014 Ex: 5.605597","Age: 90 ex_fr_female$Type: Predicted Year: 2015 Ex: 5.353548","Age: 90 ex_fr_female$Type: Predicted Year: 2016 Ex: 5.447821","Age: 90 ex_fr_female$Type: Predicted Year: 2017 Ex: 5.349984"],"frame":"90","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"91","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[3.54,3.31,3.42,3.55,3.31,3.72,3.49,3.27,3.59,3.39,3.15,3.54,3.61,3.25,3.37,3.2,3.21,3.49,3.32,3.29,3.35,2.97,3.39,3.55,3.33,3.27,3.18,3.3,3.23,3.37,3.03,2.95,3.01,3,3.23,2.95,3,2.77,2.63,2.38,2.87,2.83,2.71,2.76,2.78,2.83,2.95,2.88,2.83,2.77,2.9,2.83,2.69,2.7,2.5,2.4,3.07,2.78,2.83,2.59,2.69,2.67,2.7,2.44,2.73,2.95,2.83,2.6,2.7,2.61,2.7,2.83,2.68,2.86,2.56,2.27,2.35,2.41,2.4,2.26,2.71,2.81,2.59,2.43,2.38,2.53,2.59,2.73,2.63,2.34,2.47,2.43,2.62,2.5,2.61,2.34,2.74,2.74,2.42,2.47,2.44,2.38,2.38,2.34,2.69,2.6,2.46,2.68,2.61,2.38,2.54,2.52,2.59,2.3,2.91,2.52,2.57,2.55,2.84,2.65,2.75,2.73,2.66,2.6,2,2.4,2.39,2.48,2.26,2.53,2.87,2.99,3.24,2.72,2.97,2.7,3.01,2.7,3.02,2.99,2.79,2.95,3.09,3.06,2.98,3.2,3.01,2.95,3.25,3.13,3.29,3.23,3.15,3.25,3.28,3.2,3.37,3.28,3.32,3.33,3.31,3.53,3.47,3.56,3.49,3.45,3.58,3.46,3.64,3.59,3.63,3.84,3.85,3.79,3.81,3.94,4.01,3.95,4.13,4.08,4.04,4.1,4.1,4.09,4.16,4.18,4.19,4.03,4.51,4.39,4.56,4.58,4.55,4.57,4.62,4.72,4.56,4.64,4.84,4.6,4.69,4.59],"text":["Age: 91 ex_fr_female$Type: Observed Year: 1816 Ex: 3.540000","Age: 91 ex_fr_female$Type: Observed Year: 1817 Ex: 3.310000","Age: 91 ex_fr_female$Type: Observed Year: 1818 Ex: 3.420000","Age: 91 ex_fr_female$Type: Observed Year: 1819 Ex: 3.550000","Age: 91 ex_fr_female$Type: Observed Year: 1820 Ex: 3.310000","Age: 91 ex_fr_female$Type: Observed Year: 1821 Ex: 3.720000","Age: 91 ex_fr_female$Type: Observed Year: 1822 Ex: 3.490000","Age: 91 ex_fr_female$Type: Observed Year: 1823 Ex: 3.270000","Age: 91 ex_fr_female$Type: Observed Year: 1824 Ex: 3.590000","Age: 91 ex_fr_female$Type: Observed Year: 1825 Ex: 3.390000","Age: 91 ex_fr_female$Type: Observed Year: 1826 Ex: 3.150000","Age: 91 ex_fr_female$Type: Observed Year: 1827 Ex: 3.540000","Age: 91 ex_fr_female$Type: Observed Year: 1828 Ex: 3.610000","Age: 91 ex_fr_female$Type: Observed Year: 1829 Ex: 3.250000","Age: 91 ex_fr_female$Type: Observed Year: 1830 Ex: 3.370000","Age: 91 ex_fr_female$Type: Observed Year: 1831 Ex: 3.200000","Age: 91 ex_fr_female$Type: Observed Year: 1832 Ex: 3.210000","Age: 91 ex_fr_female$Type: Observed Year: 1833 Ex: 3.490000","Age: 91 ex_fr_female$Type: Observed Year: 1834 Ex: 3.320000","Age: 91 ex_fr_female$Type: Observed Year: 1835 Ex: 3.290000","Age: 91 ex_fr_female$Type: Observed Year: 1836 Ex: 3.350000","Age: 91 ex_fr_female$Type: Observed Year: 1837 Ex: 2.970000","Age: 91 ex_fr_female$Type: Observed Year: 1838 Ex: 3.390000","Age: 91 ex_fr_female$Type: Observed Year: 1839 Ex: 3.550000","Age: 91 ex_fr_female$Type: Observed Year: 1840 Ex: 3.330000","Age: 91 ex_fr_female$Type: Observed Year: 1841 Ex: 3.270000","Age: 91 ex_fr_female$Type: Observed Year: 1842 Ex: 3.180000","Age: 91 ex_fr_female$Type: Observed Year: 1843 Ex: 3.300000","Age: 91 ex_fr_female$Type: Observed Year: 1844 Ex: 3.230000","Age: 91 ex_fr_female$Type: Observed Year: 1845 Ex: 3.370000","Age: 91 ex_fr_female$Type: Observed Year: 1846 Ex: 3.030000","Age: 91 ex_fr_female$Type: Observed Year: 1847 Ex: 2.950000","Age: 91 ex_fr_female$Type: Observed Year: 1848 Ex: 3.010000","Age: 91 ex_fr_female$Type: Observed Year: 1849 Ex: 3.000000","Age: 91 ex_fr_female$Type: Observed Year: 1850 Ex: 3.230000","Age: 91 ex_fr_female$Type: Observed Year: 1851 Ex: 2.950000","Age: 91 ex_fr_female$Type: Observed Year: 1852 Ex: 3.000000","Age: 91 ex_fr_female$Type: Observed Year: 1853 Ex: 2.770000","Age: 91 ex_fr_female$Type: Observed Year: 1854 Ex: 2.630000","Age: 91 ex_fr_female$Type: Observed Year: 1855 Ex: 2.380000","Age: 91 ex_fr_female$Type: Observed Year: 1856 Ex: 2.870000","Age: 91 ex_fr_female$Type: Observed Year: 1857 Ex: 2.830000","Age: 91 ex_fr_female$Type: Observed Year: 1858 Ex: 2.710000","Age: 91 ex_fr_female$Type: Observed Year: 1859 Ex: 2.760000","Age: 91 ex_fr_female$Type: Observed Year: 1860 Ex: 2.780000","Age: 91 ex_fr_female$Type: Observed Year: 1861 Ex: 2.830000","Age: 91 ex_fr_female$Type: Observed Year: 1862 Ex: 2.950000","Age: 91 ex_fr_female$Type: Observed Year: 1863 Ex: 2.880000","Age: 91 ex_fr_female$Type: Observed Year: 1864 Ex: 2.830000","Age: 91 ex_fr_female$Type: Observed Year: 1865 Ex: 2.770000","Age: 91 ex_fr_female$Type: Observed Year: 1866 Ex: 2.900000","Age: 91 ex_fr_female$Type: Observed Year: 1867 Ex: 2.830000","Age: 91 ex_fr_female$Type: Observed Year: 1868 Ex: 2.690000","Age: 91 ex_fr_female$Type: Observed Year: 1869 Ex: 2.700000","Age: 91 ex_fr_female$Type: Observed Year: 1870 Ex: 2.500000","Age: 91 ex_fr_female$Type: Observed Year: 1871 Ex: 2.400000","Age: 91 ex_fr_female$Type: Observed Year: 1872 Ex: 3.070000","Age: 91 ex_fr_female$Type: Observed Year: 1873 Ex: 2.780000","Age: 91 ex_fr_female$Type: Observed Year: 1874 Ex: 2.830000","Age: 91 ex_fr_female$Type: Observed Year: 1875 Ex: 2.590000","Age: 91 ex_fr_female$Type: Observed Year: 1876 Ex: 2.690000","Age: 91 ex_fr_female$Type: Observed Year: 1877 Ex: 2.670000","Age: 91 ex_fr_female$Type: Observed Year: 1878 Ex: 2.700000","Age: 91 ex_fr_female$Type: Observed Year: 1879 Ex: 2.440000","Age: 91 ex_fr_female$Type: Observed Year: 1880 Ex: 2.730000","Age: 91 ex_fr_female$Type: Observed Year: 1881 Ex: 2.950000","Age: 91 ex_fr_female$Type: Observed Year: 1882 Ex: 2.830000","Age: 91 ex_fr_female$Type: Observed Year: 1883 Ex: 2.600000","Age: 91 ex_fr_female$Type: Observed Year: 1884 Ex: 2.700000","Age: 91 ex_fr_female$Type: Observed Year: 1885 Ex: 2.610000","Age: 91 ex_fr_female$Type: Observed Year: 1886 Ex: 2.700000","Age: 91 ex_fr_female$Type: Observed Year: 1887 Ex: 2.830000","Age: 91 ex_fr_female$Type: Observed Year: 1888 Ex: 2.680000","Age: 91 ex_fr_female$Type: Observed Year: 1889 Ex: 2.860000","Age: 91 ex_fr_female$Type: Observed Year: 1890 Ex: 2.560000","Age: 91 ex_fr_female$Type: Observed Year: 1891 Ex: 2.270000","Age: 91 ex_fr_female$Type: Observed Year: 1892 Ex: 2.350000","Age: 91 ex_fr_female$Type: Observed Year: 1893 Ex: 2.410000","Age: 91 ex_fr_female$Type: Observed Year: 1894 Ex: 2.400000","Age: 91 ex_fr_female$Type: Observed Year: 1895 Ex: 2.260000","Age: 91 ex_fr_female$Type: Observed Year: 1896 Ex: 2.710000","Age: 91 ex_fr_female$Type: Observed Year: 1897 Ex: 2.810000","Age: 91 ex_fr_female$Type: Observed Year: 1898 Ex: 2.590000","Age: 91 ex_fr_female$Type: Observed Year: 1899 Ex: 2.430000","Age: 91 ex_fr_female$Type: Observed Year: 1900 Ex: 2.380000","Age: 91 ex_fr_female$Type: Observed Year: 1901 Ex: 2.530000","Age: 91 ex_fr_female$Type: Observed Year: 1902 Ex: 2.590000","Age: 91 ex_fr_female$Type: Observed Year: 1903 Ex: 2.730000","Age: 91 ex_fr_female$Type: Observed Year: 1904 Ex: 2.630000","Age: 91 ex_fr_female$Type: Observed Year: 1905 Ex: 2.340000","Age: 91 ex_fr_female$Type: Observed Year: 1906 Ex: 2.470000","Age: 91 ex_fr_female$Type: Observed Year: 1907 Ex: 2.430000","Age: 91 ex_fr_female$Type: Observed Year: 1908 Ex: 2.620000","Age: 91 ex_fr_female$Type: Observed Year: 1909 Ex: 2.500000","Age: 91 ex_fr_female$Type: Observed Year: 1910 Ex: 2.610000","Age: 91 ex_fr_female$Type: Observed Year: 1911 Ex: 2.340000","Age: 91 ex_fr_female$Type: Observed Year: 1912 Ex: 2.740000","Age: 91 ex_fr_female$Type: Observed Year: 1913 Ex: 2.740000","Age: 91 ex_fr_female$Type: Observed Year: 1914 Ex: 2.420000","Age: 91 ex_fr_female$Type: Observed Year: 1915 Ex: 2.470000","Age: 91 ex_fr_female$Type: Observed Year: 1916 Ex: 2.440000","Age: 91 ex_fr_female$Type: Observed Year: 1917 Ex: 2.380000","Age: 91 ex_fr_female$Type: Observed Year: 1918 Ex: 2.380000","Age: 91 ex_fr_female$Type: Observed Year: 1919 Ex: 2.340000","Age: 91 ex_fr_female$Type: Observed Year: 1920 Ex: 2.690000","Age: 91 ex_fr_female$Type: Observed Year: 1921 Ex: 2.600000","Age: 91 ex_fr_female$Type: Observed Year: 1922 Ex: 2.460000","Age: 91 ex_fr_female$Type: Observed Year: 1923 Ex: 2.680000","Age: 91 ex_fr_female$Type: Observed Year: 1924 Ex: 2.610000","Age: 91 ex_fr_female$Type: Observed Year: 1925 Ex: 2.380000","Age: 91 ex_fr_female$Type: Observed Year: 1926 Ex: 2.540000","Age: 91 ex_fr_female$Type: Observed Year: 1927 Ex: 2.520000","Age: 91 ex_fr_female$Type: Observed Year: 1928 Ex: 2.590000","Age: 91 ex_fr_female$Type: Observed Year: 1929 Ex: 2.300000","Age: 91 ex_fr_female$Type: Observed Year: 1930 Ex: 2.910000","Age: 91 ex_fr_female$Type: Observed Year: 1931 Ex: 2.520000","Age: 91 ex_fr_female$Type: Observed Year: 1932 Ex: 2.570000","Age: 91 ex_fr_female$Type: Observed Year: 1933 Ex: 2.550000","Age: 91 ex_fr_female$Type: Observed Year: 1934 Ex: 2.840000","Age: 91 ex_fr_female$Type: Observed Year: 1935 Ex: 2.650000","Age: 91 ex_fr_female$Type: Observed Year: 1936 Ex: 2.750000","Age: 91 ex_fr_female$Type: Observed Year: 1937 Ex: 2.730000","Age: 91 ex_fr_female$Type: Observed Year: 1938 Ex: 2.660000","Age: 91 ex_fr_female$Type: Observed Year: 1939 Ex: 2.600000","Age: 91 ex_fr_female$Type: Observed Year: 1940 Ex: 2.000000","Age: 91 ex_fr_female$Type: Observed Year: 1941 Ex: 2.400000","Age: 91 ex_fr_female$Type: Observed Year: 1942 Ex: 2.390000","Age: 91 ex_fr_female$Type: Observed Year: 1943 Ex: 2.480000","Age: 91 ex_fr_female$Type: Observed Year: 1944 Ex: 2.260000","Age: 91 ex_fr_female$Type: Observed Year: 1945 Ex: 2.530000","Age: 91 ex_fr_female$Type: Observed Year: 1946 Ex: 2.870000","Age: 91 ex_fr_female$Type: Observed Year: 1947 Ex: 2.990000","Age: 91 ex_fr_female$Type: Observed Year: 1948 Ex: 3.240000","Age: 91 ex_fr_female$Type: Observed Year: 1949 Ex: 2.720000","Age: 91 ex_fr_female$Type: Observed Year: 1950 Ex: 2.970000","Age: 91 ex_fr_female$Type: Observed Year: 1951 Ex: 2.700000","Age: 91 ex_fr_female$Type: Observed Year: 1952 Ex: 3.010000","Age: 91 ex_fr_female$Type: Observed Year: 1953 Ex: 2.700000","Age: 91 ex_fr_female$Type: Observed Year: 1954 Ex: 3.020000","Age: 91 ex_fr_female$Type: Observed Year: 1955 Ex: 2.990000","Age: 91 ex_fr_female$Type: Observed Year: 1956 Ex: 2.790000","Age: 91 ex_fr_female$Type: Observed Year: 1957 Ex: 2.950000","Age: 91 ex_fr_female$Type: Observed Year: 1958 Ex: 3.090000","Age: 91 ex_fr_female$Type: Observed Year: 1959 Ex: 3.060000","Age: 91 ex_fr_female$Type: Observed Year: 1960 Ex: 2.980000","Age: 91 ex_fr_female$Type: Observed Year: 1961 Ex: 3.200000","Age: 91 ex_fr_female$Type: Observed Year: 1962 Ex: 3.010000","Age: 91 ex_fr_female$Type: Observed Year: 1963 Ex: 2.950000","Age: 91 ex_fr_female$Type: Observed Year: 1964 Ex: 3.250000","Age: 91 ex_fr_female$Type: Observed Year: 1965 Ex: 3.130000","Age: 91 ex_fr_female$Type: Observed Year: 1966 Ex: 3.290000","Age: 91 ex_fr_female$Type: Observed Year: 1967 Ex: 3.230000","Age: 91 ex_fr_female$Type: Observed Year: 1968 Ex: 3.150000","Age: 91 ex_fr_female$Type: Observed Year: 1969 Ex: 3.250000","Age: 91 ex_fr_female$Type: Observed Year: 1970 Ex: 3.280000","Age: 91 ex_fr_female$Type: Observed Year: 1971 Ex: 3.200000","Age: 91 ex_fr_female$Type: Observed Year: 1972 Ex: 3.370000","Age: 91 ex_fr_female$Type: Observed Year: 1973 Ex: 3.280000","Age: 91 ex_fr_female$Type: Observed Year: 1974 Ex: 3.320000","Age: 91 ex_fr_female$Type: Observed Year: 1975 Ex: 3.330000","Age: 91 ex_fr_female$Type: Observed Year: 1976 Ex: 3.310000","Age: 91 ex_fr_female$Type: Observed Year: 1977 Ex: 3.530000","Age: 91 ex_fr_female$Type: Observed Year: 1978 Ex: 3.470000","Age: 91 ex_fr_female$Type: Observed Year: 1979 Ex: 3.560000","Age: 91 ex_fr_female$Type: Observed Year: 1980 Ex: 3.490000","Age: 91 ex_fr_female$Type: Observed Year: 1981 Ex: 3.450000","Age: 91 ex_fr_female$Type: Observed Year: 1982 Ex: 3.580000","Age: 91 ex_fr_female$Type: Observed Year: 1983 Ex: 3.460000","Age: 91 ex_fr_female$Type: Observed Year: 1984 Ex: 3.640000","Age: 91 ex_fr_female$Type: Observed Year: 1985 Ex: 3.590000","Age: 91 ex_fr_female$Type: Observed Year: 1986 Ex: 3.630000","Age: 91 ex_fr_female$Type: Observed Year: 1987 Ex: 3.840000","Age: 91 ex_fr_female$Type: Observed Year: 1988 Ex: 3.850000","Age: 91 ex_fr_female$Type: Observed Year: 1989 Ex: 3.790000","Age: 91 ex_fr_female$Type: Observed Year: 1990 Ex: 3.810000","Age: 91 ex_fr_female$Type: Observed Year: 1991 Ex: 3.940000","Age: 91 ex_fr_female$Type: Observed Year: 1992 Ex: 4.010000","Age: 91 ex_fr_female$Type: Observed Year: 1993 Ex: 3.950000","Age: 91 ex_fr_female$Type: Observed Year: 1994 Ex: 4.130000","Age: 91 ex_fr_female$Type: Observed Year: 1995 Ex: 4.080000","Age: 91 ex_fr_female$Type: Observed Year: 1996 Ex: 4.040000","Age: 91 ex_fr_female$Type: Observed Year: 1997 Ex: 4.100000","Age: 91 ex_fr_female$Type: Observed Year: 1998 Ex: 4.100000","Age: 91 ex_fr_female$Type: Observed Year: 1999 Ex: 4.090000","Age: 91 ex_fr_female$Type: Observed Year: 2000 Ex: 4.160000","Age: 91 ex_fr_female$Type: Observed Year: 2001 Ex: 4.180000","Age: 91 ex_fr_female$Type: Observed Year: 2002 Ex: 4.190000","Age: 91 ex_fr_female$Type: Observed Year: 2003 Ex: 4.030000","Age: 91 ex_fr_female$Type: Observed Year: 2004 Ex: 4.510000","Age: 91 ex_fr_female$Type: Observed Year: 2005 Ex: 4.390000","Age: 91 ex_fr_female$Type: Observed Year: 2006 Ex: 4.560000","Age: 91 ex_fr_female$Type: Observed Year: 2007 Ex: 4.580000","Age: 91 ex_fr_female$Type: Observed Year: 2008 Ex: 4.550000","Age: 91 ex_fr_female$Type: Observed Year: 2009 Ex: 4.570000","Age: 91 ex_fr_female$Type: Observed Year: 2010 Ex: 4.620000","Age: 91 ex_fr_female$Type: Observed Year: 2011 Ex: 4.720000","Age: 91 ex_fr_female$Type: Observed Year: 2012 Ex: 4.560000","Age: 91 ex_fr_female$Type: Observed Year: 2013 Ex: 4.640000","Age: 91 ex_fr_female$Type: Observed Year: 2014 Ex: 4.840000","Age: 91 ex_fr_female$Type: Observed Year: 2015 Ex: 4.600000","Age: 91 ex_fr_female$Type: Observed Year: 2016 Ex: 4.690000","Age: 91 ex_fr_female$Type: Observed Year: 2017 Ex: 4.590000"],"frame":"91","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[3.98787454823681,3.75218685561235,3.85813332517593,3.9873005560133,3.74945630967244,4.15823874043751,3.91726901257123,3.70627844142618,4.03466994979001,3.82508426379198,3.59715833459463,3.98474130682764,4.04454373884868,3.68967930619491,3.8133751219403,3.63613530876261,3.65293580259594,3.92139961208596,3.75845920093848,3.72465557424942,3.7926588727358,3.42015790051525,3.82817848618059,3.98841012127031,3.75478311293265,3.70776616275484,3.6197246674858,3.73559848001018,3.66585994420813,3.8120931298184,3.46800361358334,3.37888169466231,3.44469436627622,3.4369944105303,3.66658897453354,3.39271750927804,3.44249524912345,3.21304784271216,3.07936759303601,2.8297636772603,3.30625941570268,3.26045580760781,3.14931966700239,3.20218233127333,3.23052900322799,3.27957068972556,3.39161741081475,3.3253044920724,3.26624527431028,3.20383680870138,3.33648571434018,3.26204033258902,3.13748830176778,3.15110426538046,2.94625679834503,2.84890836314322,3.4958787712734,3.2136582683814,3.26931808796347,3.03525127276161,3.13266390812187,3.11027162169036,3.13820347080208,2.88493124977551,3.17601764521952,3.39305454913111,3.27506011877586,3.04806922438895,3.14895493286034,3.05103812091031,3.13120317687529,3.26291666234718,3.11256174236583,3.29332282193561,3.00763012199418,2.72235039290716,2.80412823221776,2.86569422396893,2.85008246742788,2.70850462819432,3.14209686550034,3.25051142698387,3.03817563780889,2.87843524950272,2.83109593099852,2.97564743641731,3.03194837661545,3.1713158398442,3.0687739750318,2.78139910394306,2.90491480568256,2.88470710674304,3.05833387986002,2.93893120918729,3.05577432637359,2.78936657264339,3.17907856915459,3.17457098849984,2.860724351074,2.92182991528994,2.88024311770559,2.8179024601514,2.83281869758604,2.78171599723835,3.12355921956892,3.03907255384705,2.90237323180202,3.11349196431031,3.05047442905816,2.83162399047846,2.97649980537643,2.95713250096188,3.02553001668139,2.74620282156425,3.34062702336915,2.96284795795191,3.00930482974346,2.98687632733693,3.27431710773568,3.08864448648567,3.18822159515085,3.16359934548466,3.09971290964957,3.0373657205283,2.45223141031454,2.84255077564709,2.83424820151792,2.92478197584099,2.70023806837322,2.9675109564349,3.29828302470645,3.41850277233116,3.6651094294981,3.15022445870347,3.39600983758809,3.13600695012765,3.4332550001286,3.13519947135274,3.44544009617652,3.41470437706378,3.21589677833355,3.37138910470197,3.51220911719607,3.48236624765437,3.40518948313726,3.62163672231858,3.42909349723318,3.37312947101039,3.66477409467746,3.54720937913427,3.70598625498044,3.64513522333479,3.5677891608056,3.66932224869362,3.69440429452394,3.61024663646964,3.78484620038846,3.69415316413063,3.73690244859419,3.74321152596585,3.72350086799605,3.93787335278029,3.88045454906191,3.96570999295812,3.89329831480701,3.85926324498889,3.98220864460666,3.86511216430013,4.04081613077671,3.99067941453865,4.03179587134251,4.23485969712465,4.24658650200233,4.1886531362723,4.20569101764014,4.33670686582851,4.39660456055796,4.34602131857504,4.51744404417043,4.46234780555063,4.42720590608511,4.48521632161534,4.48276920559162,4.47305337144962,4.54508035777381,4.56762198473402,4.57121675512576,4.41899915387428,4.88458286087713,4.77044623040003,4.93793795215008,4.95304748740229,4.92790127500648,4.94344343655591,4.99679985240366,5.0927986899753,4.9263600420978,5.00895012990477,5.20275830626774,4.96541087063051,5.05376281820537,4.95712428472313],"text":["Age: 91 ex_fr_female$Type: Predicted Year: 1816 Ex: 3.987875","Age: 91 ex_fr_female$Type: Predicted Year: 1817 Ex: 3.752187","Age: 91 ex_fr_female$Type: Predicted Year: 1818 Ex: 3.858133","Age: 91 ex_fr_female$Type: Predicted Year: 1819 Ex: 3.987301","Age: 91 ex_fr_female$Type: Predicted Year: 1820 Ex: 3.749456","Age: 91 ex_fr_female$Type: Predicted Year: 1821 Ex: 4.158239","Age: 91 ex_fr_female$Type: Predicted Year: 1822 Ex: 3.917269","Age: 91 ex_fr_female$Type: Predicted Year: 1823 Ex: 3.706278","Age: 91 ex_fr_female$Type: Predicted Year: 1824 Ex: 4.034670","Age: 91 ex_fr_female$Type: Predicted Year: 1825 Ex: 3.825084","Age: 91 ex_fr_female$Type: Predicted Year: 1826 Ex: 3.597158","Age: 91 ex_fr_female$Type: Predicted Year: 1827 Ex: 3.984741","Age: 91 ex_fr_female$Type: Predicted Year: 1828 Ex: 4.044544","Age: 91 ex_fr_female$Type: Predicted Year: 1829 Ex: 3.689679","Age: 91 ex_fr_female$Type: Predicted Year: 1830 Ex: 3.813375","Age: 91 ex_fr_female$Type: Predicted Year: 1831 Ex: 3.636135","Age: 91 ex_fr_female$Type: Predicted Year: 1832 Ex: 3.652936","Age: 91 ex_fr_female$Type: Predicted Year: 1833 Ex: 3.921400","Age: 91 ex_fr_female$Type: Predicted Year: 1834 Ex: 3.758459","Age: 91 ex_fr_female$Type: Predicted Year: 1835 Ex: 3.724656","Age: 91 ex_fr_female$Type: Predicted Year: 1836 Ex: 3.792659","Age: 91 ex_fr_female$Type: Predicted Year: 1837 Ex: 3.420158","Age: 91 ex_fr_female$Type: Predicted Year: 1838 Ex: 3.828178","Age: 91 ex_fr_female$Type: Predicted Year: 1839 Ex: 3.988410","Age: 91 ex_fr_female$Type: Predicted Year: 1840 Ex: 3.754783","Age: 91 ex_fr_female$Type: Predicted Year: 1841 Ex: 3.707766","Age: 91 ex_fr_female$Type: Predicted Year: 1842 Ex: 3.619725","Age: 91 ex_fr_female$Type: Predicted Year: 1843 Ex: 3.735598","Age: 91 ex_fr_female$Type: Predicted Year: 1844 Ex: 3.665860","Age: 91 ex_fr_female$Type: Predicted Year: 1845 Ex: 3.812093","Age: 91 ex_fr_female$Type: Predicted Year: 1846 Ex: 3.468004","Age: 91 ex_fr_female$Type: Predicted Year: 1847 Ex: 3.378882","Age: 91 ex_fr_female$Type: Predicted Year: 1848 Ex: 3.444694","Age: 91 ex_fr_female$Type: Predicted Year: 1849 Ex: 3.436994","Age: 91 ex_fr_female$Type: Predicted Year: 1850 Ex: 3.666589","Age: 91 ex_fr_female$Type: Predicted Year: 1851 Ex: 3.392718","Age: 91 ex_fr_female$Type: Predicted Year: 1852 Ex: 3.442495","Age: 91 ex_fr_female$Type: Predicted Year: 1853 Ex: 3.213048","Age: 91 ex_fr_female$Type: Predicted Year: 1854 Ex: 3.079368","Age: 91 ex_fr_female$Type: Predicted Year: 1855 Ex: 2.829764","Age: 91 ex_fr_female$Type: Predicted Year: 1856 Ex: 3.306259","Age: 91 ex_fr_female$Type: Predicted Year: 1857 Ex: 3.260456","Age: 91 ex_fr_female$Type: Predicted Year: 1858 Ex: 3.149320","Age: 91 ex_fr_female$Type: Predicted Year: 1859 Ex: 3.202182","Age: 91 ex_fr_female$Type: Predicted Year: 1860 Ex: 3.230529","Age: 91 ex_fr_female$Type: Predicted Year: 1861 Ex: 3.279571","Age: 91 ex_fr_female$Type: Predicted Year: 1862 Ex: 3.391617","Age: 91 ex_fr_female$Type: Predicted Year: 1863 Ex: 3.325304","Age: 91 ex_fr_female$Type: Predicted Year: 1864 Ex: 3.266245","Age: 91 ex_fr_female$Type: Predicted Year: 1865 Ex: 3.203837","Age: 91 ex_fr_female$Type: Predicted Year: 1866 Ex: 3.336486","Age: 91 ex_fr_female$Type: Predicted Year: 1867 Ex: 3.262040","Age: 91 ex_fr_female$Type: Predicted Year: 1868 Ex: 3.137488","Age: 91 ex_fr_female$Type: Predicted Year: 1869 Ex: 3.151104","Age: 91 ex_fr_female$Type: Predicted Year: 1870 Ex: 2.946257","Age: 91 ex_fr_female$Type: Predicted Year: 1871 Ex: 2.848908","Age: 91 ex_fr_female$Type: Predicted Year: 1872 Ex: 3.495879","Age: 91 ex_fr_female$Type: Predicted Year: 1873 Ex: 3.213658","Age: 91 ex_fr_female$Type: Predicted Year: 1874 Ex: 3.269318","Age: 91 ex_fr_female$Type: Predicted Year: 1875 Ex: 3.035251","Age: 91 ex_fr_female$Type: Predicted Year: 1876 Ex: 3.132664","Age: 91 ex_fr_female$Type: Predicted Year: 1877 Ex: 3.110272","Age: 91 ex_fr_female$Type: Predicted Year: 1878 Ex: 3.138203","Age: 91 ex_fr_female$Type: Predicted Year: 1879 Ex: 2.884931","Age: 91 ex_fr_female$Type: Predicted Year: 1880 Ex: 3.176018","Age: 91 ex_fr_female$Type: Predicted Year: 1881 Ex: 3.393055","Age: 91 ex_fr_female$Type: Predicted Year: 1882 Ex: 3.275060","Age: 91 ex_fr_female$Type: Predicted Year: 1883 Ex: 3.048069","Age: 91 ex_fr_female$Type: Predicted Year: 1884 Ex: 3.148955","Age: 91 ex_fr_female$Type: Predicted Year: 1885 Ex: 3.051038","Age: 91 ex_fr_female$Type: Predicted Year: 1886 Ex: 3.131203","Age: 91 ex_fr_female$Type: Predicted Year: 1887 Ex: 3.262917","Age: 91 ex_fr_female$Type: Predicted Year: 1888 Ex: 3.112562","Age: 91 ex_fr_female$Type: Predicted Year: 1889 Ex: 3.293323","Age: 91 ex_fr_female$Type: Predicted Year: 1890 Ex: 3.007630","Age: 91 ex_fr_female$Type: Predicted Year: 1891 Ex: 2.722350","Age: 91 ex_fr_female$Type: Predicted Year: 1892 Ex: 2.804128","Age: 91 ex_fr_female$Type: Predicted Year: 1893 Ex: 2.865694","Age: 91 ex_fr_female$Type: Predicted Year: 1894 Ex: 2.850082","Age: 91 ex_fr_female$Type: Predicted Year: 1895 Ex: 2.708505","Age: 91 ex_fr_female$Type: Predicted Year: 1896 Ex: 3.142097","Age: 91 ex_fr_female$Type: Predicted Year: 1897 Ex: 3.250511","Age: 91 ex_fr_female$Type: Predicted Year: 1898 Ex: 3.038176","Age: 91 ex_fr_female$Type: Predicted Year: 1899 Ex: 2.878435","Age: 91 ex_fr_female$Type: Predicted Year: 1900 Ex: 2.831096","Age: 91 ex_fr_female$Type: Predicted Year: 1901 Ex: 2.975647","Age: 91 ex_fr_female$Type: Predicted Year: 1902 Ex: 3.031948","Age: 91 ex_fr_female$Type: Predicted Year: 1903 Ex: 3.171316","Age: 91 ex_fr_female$Type: Predicted Year: 1904 Ex: 3.068774","Age: 91 ex_fr_female$Type: Predicted Year: 1905 Ex: 2.781399","Age: 91 ex_fr_female$Type: Predicted Year: 1906 Ex: 2.904915","Age: 91 ex_fr_female$Type: Predicted Year: 1907 Ex: 2.884707","Age: 91 ex_fr_female$Type: Predicted Year: 1908 Ex: 3.058334","Age: 91 ex_fr_female$Type: Predicted Year: 1909 Ex: 2.938931","Age: 91 ex_fr_female$Type: Predicted Year: 1910 Ex: 3.055774","Age: 91 ex_fr_female$Type: Predicted Year: 1911 Ex: 2.789367","Age: 91 ex_fr_female$Type: Predicted Year: 1912 Ex: 3.179079","Age: 91 ex_fr_female$Type: Predicted Year: 1913 Ex: 3.174571","Age: 91 ex_fr_female$Type: Predicted Year: 1914 Ex: 2.860724","Age: 91 ex_fr_female$Type: Predicted Year: 1915 Ex: 2.921830","Age: 91 ex_fr_female$Type: Predicted Year: 1916 Ex: 2.880243","Age: 91 ex_fr_female$Type: Predicted Year: 1917 Ex: 2.817902","Age: 91 ex_fr_female$Type: Predicted Year: 1918 Ex: 2.832819","Age: 91 ex_fr_female$Type: Predicted Year: 1919 Ex: 2.781716","Age: 91 ex_fr_female$Type: Predicted Year: 1920 Ex: 3.123559","Age: 91 ex_fr_female$Type: Predicted Year: 1921 Ex: 3.039073","Age: 91 ex_fr_female$Type: Predicted Year: 1922 Ex: 2.902373","Age: 91 ex_fr_female$Type: Predicted Year: 1923 Ex: 3.113492","Age: 91 ex_fr_female$Type: Predicted Year: 1924 Ex: 3.050474","Age: 91 ex_fr_female$Type: Predicted Year: 1925 Ex: 2.831624","Age: 91 ex_fr_female$Type: Predicted Year: 1926 Ex: 2.976500","Age: 91 ex_fr_female$Type: Predicted Year: 1927 Ex: 2.957133","Age: 91 ex_fr_female$Type: Predicted Year: 1928 Ex: 3.025530","Age: 91 ex_fr_female$Type: Predicted Year: 1929 Ex: 2.746203","Age: 91 ex_fr_female$Type: Predicted Year: 1930 Ex: 3.340627","Age: 91 ex_fr_female$Type: Predicted Year: 1931 Ex: 2.962848","Age: 91 ex_fr_female$Type: Predicted Year: 1932 Ex: 3.009305","Age: 91 ex_fr_female$Type: Predicted Year: 1933 Ex: 2.986876","Age: 91 ex_fr_female$Type: Predicted Year: 1934 Ex: 3.274317","Age: 91 ex_fr_female$Type: Predicted Year: 1935 Ex: 3.088644","Age: 91 ex_fr_female$Type: Predicted Year: 1936 Ex: 3.188222","Age: 91 ex_fr_female$Type: Predicted Year: 1937 Ex: 3.163599","Age: 91 ex_fr_female$Type: Predicted Year: 1938 Ex: 3.099713","Age: 91 ex_fr_female$Type: Predicted Year: 1939 Ex: 3.037366","Age: 91 ex_fr_female$Type: Predicted Year: 1940 Ex: 2.452231","Age: 91 ex_fr_female$Type: Predicted Year: 1941 Ex: 2.842551","Age: 91 ex_fr_female$Type: Predicted Year: 1942 Ex: 2.834248","Age: 91 ex_fr_female$Type: Predicted Year: 1943 Ex: 2.924782","Age: 91 ex_fr_female$Type: Predicted Year: 1944 Ex: 2.700238","Age: 91 ex_fr_female$Type: Predicted Year: 1945 Ex: 2.967511","Age: 91 ex_fr_female$Type: Predicted Year: 1946 Ex: 3.298283","Age: 91 ex_fr_female$Type: Predicted Year: 1947 Ex: 3.418503","Age: 91 ex_fr_female$Type: Predicted Year: 1948 Ex: 3.665109","Age: 91 ex_fr_female$Type: Predicted Year: 1949 Ex: 3.150224","Age: 91 ex_fr_female$Type: Predicted Year: 1950 Ex: 3.396010","Age: 91 ex_fr_female$Type: Predicted Year: 1951 Ex: 3.136007","Age: 91 ex_fr_female$Type: Predicted Year: 1952 Ex: 3.433255","Age: 91 ex_fr_female$Type: Predicted Year: 1953 Ex: 3.135199","Age: 91 ex_fr_female$Type: Predicted Year: 1954 Ex: 3.445440","Age: 91 ex_fr_female$Type: Predicted Year: 1955 Ex: 3.414704","Age: 91 ex_fr_female$Type: Predicted Year: 1956 Ex: 3.215897","Age: 91 ex_fr_female$Type: Predicted Year: 1957 Ex: 3.371389","Age: 91 ex_fr_female$Type: Predicted Year: 1958 Ex: 3.512209","Age: 91 ex_fr_female$Type: Predicted Year: 1959 Ex: 3.482366","Age: 91 ex_fr_female$Type: Predicted Year: 1960 Ex: 3.405189","Age: 91 ex_fr_female$Type: Predicted Year: 1961 Ex: 3.621637","Age: 91 ex_fr_female$Type: Predicted Year: 1962 Ex: 3.429093","Age: 91 ex_fr_female$Type: Predicted Year: 1963 Ex: 3.373129","Age: 91 ex_fr_female$Type: Predicted Year: 1964 Ex: 3.664774","Age: 91 ex_fr_female$Type: Predicted Year: 1965 Ex: 3.547209","Age: 91 ex_fr_female$Type: Predicted Year: 1966 Ex: 3.705986","Age: 91 ex_fr_female$Type: Predicted Year: 1967 Ex: 3.645135","Age: 91 ex_fr_female$Type: Predicted Year: 1968 Ex: 3.567789","Age: 91 ex_fr_female$Type: Predicted Year: 1969 Ex: 3.669322","Age: 91 ex_fr_female$Type: Predicted Year: 1970 Ex: 3.694404","Age: 91 ex_fr_female$Type: Predicted Year: 1971 Ex: 3.610247","Age: 91 ex_fr_female$Type: Predicted Year: 1972 Ex: 3.784846","Age: 91 ex_fr_female$Type: Predicted Year: 1973 Ex: 3.694153","Age: 91 ex_fr_female$Type: Predicted Year: 1974 Ex: 3.736902","Age: 91 ex_fr_female$Type: Predicted Year: 1975 Ex: 3.743212","Age: 91 ex_fr_female$Type: Predicted Year: 1976 Ex: 3.723501","Age: 91 ex_fr_female$Type: Predicted Year: 1977 Ex: 3.937873","Age: 91 ex_fr_female$Type: Predicted Year: 1978 Ex: 3.880455","Age: 91 ex_fr_female$Type: Predicted Year: 1979 Ex: 3.965710","Age: 91 ex_fr_female$Type: Predicted Year: 1980 Ex: 3.893298","Age: 91 ex_fr_female$Type: Predicted Year: 1981 Ex: 3.859263","Age: 91 ex_fr_female$Type: Predicted Year: 1982 Ex: 3.982209","Age: 91 ex_fr_female$Type: Predicted Year: 1983 Ex: 3.865112","Age: 91 ex_fr_female$Type: Predicted Year: 1984 Ex: 4.040816","Age: 91 ex_fr_female$Type: Predicted Year: 1985 Ex: 3.990679","Age: 91 ex_fr_female$Type: Predicted Year: 1986 Ex: 4.031796","Age: 91 ex_fr_female$Type: Predicted Year: 1987 Ex: 4.234860","Age: 91 ex_fr_female$Type: Predicted Year: 1988 Ex: 4.246587","Age: 91 ex_fr_female$Type: Predicted Year: 1989 Ex: 4.188653","Age: 91 ex_fr_female$Type: Predicted Year: 1990 Ex: 4.205691","Age: 91 ex_fr_female$Type: Predicted Year: 1991 Ex: 4.336707","Age: 91 ex_fr_female$Type: Predicted Year: 1992 Ex: 4.396605","Age: 91 ex_fr_female$Type: Predicted Year: 1993 Ex: 4.346021","Age: 91 ex_fr_female$Type: Predicted Year: 1994 Ex: 4.517444","Age: 91 ex_fr_female$Type: Predicted Year: 1995 Ex: 4.462348","Age: 91 ex_fr_female$Type: Predicted Year: 1996 Ex: 4.427206","Age: 91 ex_fr_female$Type: Predicted Year: 1997 Ex: 4.485216","Age: 91 ex_fr_female$Type: Predicted Year: 1998 Ex: 4.482769","Age: 91 ex_fr_female$Type: Predicted Year: 1999 Ex: 4.473053","Age: 91 ex_fr_female$Type: Predicted Year: 2000 Ex: 4.545080","Age: 91 ex_fr_female$Type: Predicted Year: 2001 Ex: 4.567622","Age: 91 ex_fr_female$Type: Predicted Year: 2002 Ex: 4.571217","Age: 91 ex_fr_female$Type: Predicted Year: 2003 Ex: 4.418999","Age: 91 ex_fr_female$Type: Predicted Year: 2004 Ex: 4.884583","Age: 91 ex_fr_female$Type: Predicted Year: 2005 Ex: 4.770446","Age: 91 ex_fr_female$Type: Predicted Year: 2006 Ex: 4.937938","Age: 91 ex_fr_female$Type: Predicted Year: 2007 Ex: 4.953047","Age: 91 ex_fr_female$Type: Predicted Year: 2008 Ex: 4.927901","Age: 91 ex_fr_female$Type: Predicted Year: 2009 Ex: 4.943443","Age: 91 ex_fr_female$Type: Predicted Year: 2010 Ex: 4.996800","Age: 91 ex_fr_female$Type: Predicted Year: 2011 Ex: 5.092799","Age: 91 ex_fr_female$Type: Predicted Year: 2012 Ex: 4.926360","Age: 91 ex_fr_female$Type: Predicted Year: 2013 Ex: 5.008950","Age: 91 ex_fr_female$Type: Predicted Year: 2014 Ex: 5.202758","Age: 91 ex_fr_female$Type: Predicted Year: 2015 Ex: 4.965411","Age: 91 ex_fr_female$Type: Predicted Year: 2016 Ex: 5.053763","Age: 91 ex_fr_female$Type: Predicted Year: 2017 Ex: 4.957124"],"frame":"91","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"92","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[3.37,3.11,3.24,3.38,3.13,3.53,3.31,3.09,3.4,3.21,3.01,3.38,3.43,3.08,3.21,3.02,3.06,3.32,3.15,3.13,3.21,2.85,3.24,3.38,3.19,3.11,3.03,3.16,3.07,3.22,2.88,2.81,2.84,2.85,3.08,2.83,2.88,2.67,2.53,2.27,2.77,2.72,2.62,2.68,2.68,2.75,2.89,2.79,2.72,2.65,2.78,2.71,2.58,2.6,2.4,2.31,2.92,2.66,2.71,2.48,2.57,2.53,2.59,2.33,2.61,2.84,2.71,2.49,2.58,2.46,2.55,2.69,2.53,2.72,2.46,2.15,2.27,2.33,2.28,2.14,2.58,2.67,2.47,2.31,2.27,2.38,2.46,2.58,2.47,2.15,2.25,2.33,2.48,2.34,2.51,2.25,2.56,2.57,2.26,2.37,2.29,2.27,2.27,2.18,2.51,2.43,2.29,2.5,2.45,2.26,2.4,2.3,2.45,2.16,2.72,2.37,2.43,2.4,2.65,2.47,2.57,2.54,2.51,2.43,1.86,2.23,2.25,2.34,2.1,2.39,2.69,2.79,3.06,2.55,2.75,2.54,2.82,2.53,2.81,2.77,2.59,2.78,2.91,2.85,2.8,2.99,2.81,2.77,3.04,2.94,3.1,3.04,2.94,3.04,3.06,2.96,3.15,3.06,3.1,3.11,3.08,3.29,3.24,3.32,3.24,3.2,3.34,3.21,3.4,3.35,3.37,3.55,3.59,3.5,3.51,3.66,3.71,3.67,3.83,3.76,3.75,3.79,3.78,3.77,3.83,3.87,3.86,3.71,4.15,4.05,4.21,4.24,4.19,4.2,4.26,4.36,4.18,4.27,4.46,4.23,4.31,4.21],"text":["Age: 92 ex_fr_female$Type: Observed Year: 1816 Ex: 3.370000","Age: 92 ex_fr_female$Type: Observed Year: 1817 Ex: 3.110000","Age: 92 ex_fr_female$Type: Observed Year: 1818 Ex: 3.240000","Age: 92 ex_fr_female$Type: Observed Year: 1819 Ex: 3.380000","Age: 92 ex_fr_female$Type: Observed Year: 1820 Ex: 3.130000","Age: 92 ex_fr_female$Type: Observed Year: 1821 Ex: 3.530000","Age: 92 ex_fr_female$Type: Observed Year: 1822 Ex: 3.310000","Age: 92 ex_fr_female$Type: Observed Year: 1823 Ex: 3.090000","Age: 92 ex_fr_female$Type: Observed Year: 1824 Ex: 3.400000","Age: 92 ex_fr_female$Type: Observed Year: 1825 Ex: 3.210000","Age: 92 ex_fr_female$Type: Observed Year: 1826 Ex: 3.010000","Age: 92 ex_fr_female$Type: Observed Year: 1827 Ex: 3.380000","Age: 92 ex_fr_female$Type: Observed Year: 1828 Ex: 3.430000","Age: 92 ex_fr_female$Type: Observed Year: 1829 Ex: 3.080000","Age: 92 ex_fr_female$Type: Observed Year: 1830 Ex: 3.210000","Age: 92 ex_fr_female$Type: Observed Year: 1831 Ex: 3.020000","Age: 92 ex_fr_female$Type: Observed Year: 1832 Ex: 3.060000","Age: 92 ex_fr_female$Type: Observed Year: 1833 Ex: 3.320000","Age: 92 ex_fr_female$Type: Observed Year: 1834 Ex: 3.150000","Age: 92 ex_fr_female$Type: Observed Year: 1835 Ex: 3.130000","Age: 92 ex_fr_female$Type: Observed Year: 1836 Ex: 3.210000","Age: 92 ex_fr_female$Type: Observed Year: 1837 Ex: 2.850000","Age: 92 ex_fr_female$Type: Observed Year: 1838 Ex: 3.240000","Age: 92 ex_fr_female$Type: Observed Year: 1839 Ex: 3.380000","Age: 92 ex_fr_female$Type: Observed Year: 1840 Ex: 3.190000","Age: 92 ex_fr_female$Type: Observed Year: 1841 Ex: 3.110000","Age: 92 ex_fr_female$Type: Observed Year: 1842 Ex: 3.030000","Age: 92 ex_fr_female$Type: Observed Year: 1843 Ex: 3.160000","Age: 92 ex_fr_female$Type: Observed Year: 1844 Ex: 3.070000","Age: 92 ex_fr_female$Type: Observed Year: 1845 Ex: 3.220000","Age: 92 ex_fr_female$Type: Observed Year: 1846 Ex: 2.880000","Age: 92 ex_fr_female$Type: Observed Year: 1847 Ex: 2.810000","Age: 92 ex_fr_female$Type: Observed Year: 1848 Ex: 2.840000","Age: 92 ex_fr_female$Type: Observed Year: 1849 Ex: 2.850000","Age: 92 ex_fr_female$Type: Observed Year: 1850 Ex: 3.080000","Age: 92 ex_fr_female$Type: Observed Year: 1851 Ex: 2.830000","Age: 92 ex_fr_female$Type: Observed Year: 1852 Ex: 2.880000","Age: 92 ex_fr_female$Type: Observed Year: 1853 Ex: 2.670000","Age: 92 ex_fr_female$Type: Observed Year: 1854 Ex: 2.530000","Age: 92 ex_fr_female$Type: Observed Year: 1855 Ex: 2.270000","Age: 92 ex_fr_female$Type: Observed Year: 1856 Ex: 2.770000","Age: 92 ex_fr_female$Type: Observed Year: 1857 Ex: 2.720000","Age: 92 ex_fr_female$Type: Observed Year: 1858 Ex: 2.620000","Age: 92 ex_fr_female$Type: Observed Year: 1859 Ex: 2.680000","Age: 92 ex_fr_female$Type: Observed Year: 1860 Ex: 2.680000","Age: 92 ex_fr_female$Type: Observed Year: 1861 Ex: 2.750000","Age: 92 ex_fr_female$Type: Observed Year: 1862 Ex: 2.890000","Age: 92 ex_fr_female$Type: Observed Year: 1863 Ex: 2.790000","Age: 92 ex_fr_female$Type: Observed Year: 1864 Ex: 2.720000","Age: 92 ex_fr_female$Type: Observed Year: 1865 Ex: 2.650000","Age: 92 ex_fr_female$Type: Observed Year: 1866 Ex: 2.780000","Age: 92 ex_fr_female$Type: Observed Year: 1867 Ex: 2.710000","Age: 92 ex_fr_female$Type: Observed Year: 1868 Ex: 2.580000","Age: 92 ex_fr_female$Type: Observed Year: 1869 Ex: 2.600000","Age: 92 ex_fr_female$Type: Observed Year: 1870 Ex: 2.400000","Age: 92 ex_fr_female$Type: Observed Year: 1871 Ex: 2.310000","Age: 92 ex_fr_female$Type: Observed Year: 1872 Ex: 2.920000","Age: 92 ex_fr_female$Type: Observed Year: 1873 Ex: 2.660000","Age: 92 ex_fr_female$Type: Observed Year: 1874 Ex: 2.710000","Age: 92 ex_fr_female$Type: Observed Year: 1875 Ex: 2.480000","Age: 92 ex_fr_female$Type: Observed Year: 1876 Ex: 2.570000","Age: 92 ex_fr_female$Type: Observed Year: 1877 Ex: 2.530000","Age: 92 ex_fr_female$Type: Observed Year: 1878 Ex: 2.590000","Age: 92 ex_fr_female$Type: Observed Year: 1879 Ex: 2.330000","Age: 92 ex_fr_female$Type: Observed Year: 1880 Ex: 2.610000","Age: 92 ex_fr_female$Type: Observed Year: 1881 Ex: 2.840000","Age: 92 ex_fr_female$Type: Observed Year: 1882 Ex: 2.710000","Age: 92 ex_fr_female$Type: Observed Year: 1883 Ex: 2.490000","Age: 92 ex_fr_female$Type: Observed Year: 1884 Ex: 2.580000","Age: 92 ex_fr_female$Type: Observed Year: 1885 Ex: 2.460000","Age: 92 ex_fr_female$Type: Observed Year: 1886 Ex: 2.550000","Age: 92 ex_fr_female$Type: Observed Year: 1887 Ex: 2.690000","Age: 92 ex_fr_female$Type: Observed Year: 1888 Ex: 2.530000","Age: 92 ex_fr_female$Type: Observed Year: 1889 Ex: 2.720000","Age: 92 ex_fr_female$Type: Observed Year: 1890 Ex: 2.460000","Age: 92 ex_fr_female$Type: Observed Year: 1891 Ex: 2.150000","Age: 92 ex_fr_female$Type: Observed Year: 1892 Ex: 2.270000","Age: 92 ex_fr_female$Type: Observed Year: 1893 Ex: 2.330000","Age: 92 ex_fr_female$Type: Observed Year: 1894 Ex: 2.280000","Age: 92 ex_fr_female$Type: Observed Year: 1895 Ex: 2.140000","Age: 92 ex_fr_female$Type: Observed Year: 1896 Ex: 2.580000","Age: 92 ex_fr_female$Type: Observed Year: 1897 Ex: 2.670000","Age: 92 ex_fr_female$Type: Observed Year: 1898 Ex: 2.470000","Age: 92 ex_fr_female$Type: Observed Year: 1899 Ex: 2.310000","Age: 92 ex_fr_female$Type: Observed Year: 1900 Ex: 2.270000","Age: 92 ex_fr_female$Type: Observed Year: 1901 Ex: 2.380000","Age: 92 ex_fr_female$Type: Observed Year: 1902 Ex: 2.460000","Age: 92 ex_fr_female$Type: Observed Year: 1903 Ex: 2.580000","Age: 92 ex_fr_female$Type: Observed Year: 1904 Ex: 2.470000","Age: 92 ex_fr_female$Type: Observed Year: 1905 Ex: 2.150000","Age: 92 ex_fr_female$Type: Observed Year: 1906 Ex: 2.250000","Age: 92 ex_fr_female$Type: Observed Year: 1907 Ex: 2.330000","Age: 92 ex_fr_female$Type: Observed Year: 1908 Ex: 2.480000","Age: 92 ex_fr_female$Type: Observed Year: 1909 Ex: 2.340000","Age: 92 ex_fr_female$Type: Observed Year: 1910 Ex: 2.510000","Age: 92 ex_fr_female$Type: Observed Year: 1911 Ex: 2.250000","Age: 92 ex_fr_female$Type: Observed Year: 1912 Ex: 2.560000","Age: 92 ex_fr_female$Type: Observed Year: 1913 Ex: 2.570000","Age: 92 ex_fr_female$Type: Observed Year: 1914 Ex: 2.260000","Age: 92 ex_fr_female$Type: Observed Year: 1915 Ex: 2.370000","Age: 92 ex_fr_female$Type: Observed Year: 1916 Ex: 2.290000","Age: 92 ex_fr_female$Type: Observed Year: 1917 Ex: 2.270000","Age: 92 ex_fr_female$Type: Observed Year: 1918 Ex: 2.270000","Age: 92 ex_fr_female$Type: Observed Year: 1919 Ex: 2.180000","Age: 92 ex_fr_female$Type: Observed Year: 1920 Ex: 2.510000","Age: 92 ex_fr_female$Type: Observed Year: 1921 Ex: 2.430000","Age: 92 ex_fr_female$Type: Observed Year: 1922 Ex: 2.290000","Age: 92 ex_fr_female$Type: Observed Year: 1923 Ex: 2.500000","Age: 92 ex_fr_female$Type: Observed Year: 1924 Ex: 2.450000","Age: 92 ex_fr_female$Type: Observed Year: 1925 Ex: 2.260000","Age: 92 ex_fr_female$Type: Observed Year: 1926 Ex: 2.400000","Age: 92 ex_fr_female$Type: Observed Year: 1927 Ex: 2.300000","Age: 92 ex_fr_female$Type: Observed Year: 1928 Ex: 2.450000","Age: 92 ex_fr_female$Type: Observed Year: 1929 Ex: 2.160000","Age: 92 ex_fr_female$Type: Observed Year: 1930 Ex: 2.720000","Age: 92 ex_fr_female$Type: Observed Year: 1931 Ex: 2.370000","Age: 92 ex_fr_female$Type: Observed Year: 1932 Ex: 2.430000","Age: 92 ex_fr_female$Type: Observed Year: 1933 Ex: 2.400000","Age: 92 ex_fr_female$Type: Observed Year: 1934 Ex: 2.650000","Age: 92 ex_fr_female$Type: Observed Year: 1935 Ex: 2.470000","Age: 92 ex_fr_female$Type: Observed Year: 1936 Ex: 2.570000","Age: 92 ex_fr_female$Type: Observed Year: 1937 Ex: 2.540000","Age: 92 ex_fr_female$Type: Observed Year: 1938 Ex: 2.510000","Age: 92 ex_fr_female$Type: Observed Year: 1939 Ex: 2.430000","Age: 92 ex_fr_female$Type: Observed Year: 1940 Ex: 1.860000","Age: 92 ex_fr_female$Type: Observed Year: 1941 Ex: 2.230000","Age: 92 ex_fr_female$Type: Observed Year: 1942 Ex: 2.250000","Age: 92 ex_fr_female$Type: Observed Year: 1943 Ex: 2.340000","Age: 92 ex_fr_female$Type: Observed Year: 1944 Ex: 2.100000","Age: 92 ex_fr_female$Type: Observed Year: 1945 Ex: 2.390000","Age: 92 ex_fr_female$Type: Observed Year: 1946 Ex: 2.690000","Age: 92 ex_fr_female$Type: Observed Year: 1947 Ex: 2.790000","Age: 92 ex_fr_female$Type: Observed Year: 1948 Ex: 3.060000","Age: 92 ex_fr_female$Type: Observed Year: 1949 Ex: 2.550000","Age: 92 ex_fr_female$Type: Observed Year: 1950 Ex: 2.750000","Age: 92 ex_fr_female$Type: Observed Year: 1951 Ex: 2.540000","Age: 92 ex_fr_female$Type: Observed Year: 1952 Ex: 2.820000","Age: 92 ex_fr_female$Type: Observed Year: 1953 Ex: 2.530000","Age: 92 ex_fr_female$Type: Observed Year: 1954 Ex: 2.810000","Age: 92 ex_fr_female$Type: Observed Year: 1955 Ex: 2.770000","Age: 92 ex_fr_female$Type: Observed Year: 1956 Ex: 2.590000","Age: 92 ex_fr_female$Type: Observed Year: 1957 Ex: 2.780000","Age: 92 ex_fr_female$Type: Observed Year: 1958 Ex: 2.910000","Age: 92 ex_fr_female$Type: Observed Year: 1959 Ex: 2.850000","Age: 92 ex_fr_female$Type: Observed Year: 1960 Ex: 2.800000","Age: 92 ex_fr_female$Type: Observed Year: 1961 Ex: 2.990000","Age: 92 ex_fr_female$Type: Observed Year: 1962 Ex: 2.810000","Age: 92 ex_fr_female$Type: Observed Year: 1963 Ex: 2.770000","Age: 92 ex_fr_female$Type: Observed Year: 1964 Ex: 3.040000","Age: 92 ex_fr_female$Type: Observed Year: 1965 Ex: 2.940000","Age: 92 ex_fr_female$Type: Observed Year: 1966 Ex: 3.100000","Age: 92 ex_fr_female$Type: Observed Year: 1967 Ex: 3.040000","Age: 92 ex_fr_female$Type: Observed Year: 1968 Ex: 2.940000","Age: 92 ex_fr_female$Type: Observed Year: 1969 Ex: 3.040000","Age: 92 ex_fr_female$Type: Observed Year: 1970 Ex: 3.060000","Age: 92 ex_fr_female$Type: Observed Year: 1971 Ex: 2.960000","Age: 92 ex_fr_female$Type: Observed Year: 1972 Ex: 3.150000","Age: 92 ex_fr_female$Type: Observed Year: 1973 Ex: 3.060000","Age: 92 ex_fr_female$Type: Observed Year: 1974 Ex: 3.100000","Age: 92 ex_fr_female$Type: Observed Year: 1975 Ex: 3.110000","Age: 92 ex_fr_female$Type: Observed Year: 1976 Ex: 3.080000","Age: 92 ex_fr_female$Type: Observed Year: 1977 Ex: 3.290000","Age: 92 ex_fr_female$Type: Observed Year: 1978 Ex: 3.240000","Age: 92 ex_fr_female$Type: Observed Year: 1979 Ex: 3.320000","Age: 92 ex_fr_female$Type: Observed Year: 1980 Ex: 3.240000","Age: 92 ex_fr_female$Type: Observed Year: 1981 Ex: 3.200000","Age: 92 ex_fr_female$Type: Observed Year: 1982 Ex: 3.340000","Age: 92 ex_fr_female$Type: Observed Year: 1983 Ex: 3.210000","Age: 92 ex_fr_female$Type: Observed Year: 1984 Ex: 3.400000","Age: 92 ex_fr_female$Type: Observed Year: 1985 Ex: 3.350000","Age: 92 ex_fr_female$Type: Observed Year: 1986 Ex: 3.370000","Age: 92 ex_fr_female$Type: Observed Year: 1987 Ex: 3.550000","Age: 92 ex_fr_female$Type: Observed Year: 1988 Ex: 3.590000","Age: 92 ex_fr_female$Type: Observed Year: 1989 Ex: 3.500000","Age: 92 ex_fr_female$Type: Observed Year: 1990 Ex: 3.510000","Age: 92 ex_fr_female$Type: Observed Year: 1991 Ex: 3.660000","Age: 92 ex_fr_female$Type: Observed Year: 1992 Ex: 3.710000","Age: 92 ex_fr_female$Type: Observed Year: 1993 Ex: 3.670000","Age: 92 ex_fr_female$Type: Observed Year: 1994 Ex: 3.830000","Age: 92 ex_fr_female$Type: Observed Year: 1995 Ex: 3.760000","Age: 92 ex_fr_female$Type: Observed Year: 1996 Ex: 3.750000","Age: 92 ex_fr_female$Type: Observed Year: 1997 Ex: 3.790000","Age: 92 ex_fr_female$Type: Observed Year: 1998 Ex: 3.780000","Age: 92 ex_fr_female$Type: Observed Year: 1999 Ex: 3.770000","Age: 92 ex_fr_female$Type: Observed Year: 2000 Ex: 3.830000","Age: 92 ex_fr_female$Type: Observed Year: 2001 Ex: 3.870000","Age: 92 ex_fr_female$Type: Observed Year: 2002 Ex: 3.860000","Age: 92 ex_fr_female$Type: Observed Year: 2003 Ex: 3.710000","Age: 92 ex_fr_female$Type: Observed Year: 2004 Ex: 4.150000","Age: 92 ex_fr_female$Type: Observed Year: 2005 Ex: 4.050000","Age: 92 ex_fr_female$Type: Observed Year: 2006 Ex: 4.210000","Age: 92 ex_fr_female$Type: Observed Year: 2007 Ex: 4.240000","Age: 92 ex_fr_female$Type: Observed Year: 2008 Ex: 4.190000","Age: 92 ex_fr_female$Type: Observed Year: 2009 Ex: 4.200000","Age: 92 ex_fr_female$Type: Observed Year: 2010 Ex: 4.260000","Age: 92 ex_fr_female$Type: Observed Year: 2011 Ex: 4.360000","Age: 92 ex_fr_female$Type: Observed Year: 2012 Ex: 4.180000","Age: 92 ex_fr_female$Type: Observed Year: 2013 Ex: 4.270000","Age: 92 ex_fr_female$Type: Observed Year: 2014 Ex: 4.460000","Age: 92 ex_fr_female$Type: Observed Year: 2015 Ex: 4.230000","Age: 92 ex_fr_female$Type: Observed Year: 2016 Ex: 4.310000","Age: 92 ex_fr_female$Type: Observed Year: 2017 Ex: 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92 ex_fr_female$Type: Predicted Year: 1816 Ex: 3.823977","Age: 92 ex_fr_female$Type: Predicted Year: 1817 Ex: 3.566830","Age: 92 ex_fr_female$Type: Predicted Year: 1818 Ex: 3.682557","Age: 92 ex_fr_female$Type: Predicted Year: 1819 Ex: 3.822522","Age: 92 ex_fr_female$Type: Predicted Year: 1820 Ex: 3.581853","Age: 92 ex_fr_female$Type: Predicted Year: 1821 Ex: 3.969645","Age: 92 ex_fr_female$Type: Predicted Year: 1822 Ex: 3.741549","Age: 92 ex_fr_female$Type: Predicted Year: 1823 Ex: 3.534231","Age: 92 ex_fr_female$Type: Predicted Year: 1824 Ex: 3.853194","Age: 92 ex_fr_female$Type: Predicted Year: 1825 Ex: 3.655715","Age: 92 ex_fr_female$Type: Predicted Year: 1826 Ex: 3.454940","Age: 92 ex_fr_female$Type: Predicted Year: 1827 Ex: 3.827398","Age: 92 ex_fr_female$Type: Predicted Year: 1828 Ex: 3.867163","Age: 92 ex_fr_female$Type: Predicted Year: 1829 Ex: 3.526790","Age: 92 ex_fr_female$Type: Predicted Year: 1830 Ex: 3.655405","Age: 92 ex_fr_female$Type: Predicted Year: 1831 Ex: 3.467309","Age: 92 ex_fr_female$Type: Predicted Year: 1832 Ex: 3.504409","Age: 92 ex_fr_female$Type: Predicted Year: 1833 Ex: 3.763901","Age: 92 ex_fr_female$Type: Predicted Year: 1834 Ex: 3.593245","Age: 92 ex_fr_female$Type: Predicted Year: 1835 Ex: 3.574661","Age: 92 ex_fr_female$Type: Predicted Year: 1836 Ex: 3.648420","Age: 92 ex_fr_female$Type: Predicted Year: 1837 Ex: 3.294856","Age: 92 ex_fr_female$Type: Predicted Year: 1838 Ex: 3.676381","Age: 92 ex_fr_female$Type: Predicted Year: 1839 Ex: 3.823941","Age: 92 ex_fr_female$Type: Predicted Year: 1840 Ex: 3.618906","Age: 92 ex_fr_female$Type: Predicted Year: 1841 Ex: 3.555334","Age: 92 ex_fr_female$Type: Predicted Year: 1842 Ex: 3.469874","Age: 92 ex_fr_female$Type: Predicted Year: 1843 Ex: 3.600777","Age: 92 ex_fr_female$Type: Predicted Year: 1844 Ex: 3.515281","Age: 92 ex_fr_female$Type: Predicted Year: 1845 Ex: 3.661631","Age: 92 ex_fr_female$Type: Predicted Year: 1846 Ex: 3.317517","Age: 92 ex_fr_female$Type: Predicted Year: 1847 Ex: 3.240911","Age: 92 ex_fr_female$Type: Predicted Year: 1848 Ex: 3.288267","Age: 92 ex_fr_female$Type: Predicted Year: 1849 Ex: 3.292787","Age: 92 ex_fr_female$Type: Predicted Year: 1850 Ex: 3.515554","Age: 92 ex_fr_female$Type: Predicted Year: 1851 Ex: 3.270726","Age: 92 ex_fr_female$Type: Predicted Year: 1852 Ex: 3.324623","Age: 92 ex_fr_female$Type: Predicted Year: 1853 Ex: 3.115868","Age: 92 ex_fr_female$Type: Predicted Year: 1854 Ex: 2.982423","Age: 92 ex_fr_female$Type: Predicted Year: 1855 Ex: 2.727415","Age: 92 ex_fr_female$Type: Predicted Year: 1856 Ex: 3.200933","Age: 92 ex_fr_female$Type: Predicted Year: 1857 Ex: 3.148403","Age: 92 ex_fr_female$Type: Predicted Year: 1858 Ex: 3.054994","Age: 92 ex_fr_female$Type: Predicted Year: 1859 Ex: 3.113652","Age: 92 ex_fr_female$Type: Predicted Year: 1860 Ex: 3.129152","Age: 92 ex_fr_female$Type: Predicted Year: 1861 Ex: 3.191733","Age: 92 ex_fr_female$Type: Predicted Year: 1862 Ex: 3.318289","Age: 92 ex_fr_female$Type: Predicted Year: 1863 Ex: 3.228900","Age: 92 ex_fr_female$Type: Predicted Year: 1864 Ex: 3.161465","Age: 92 ex_fr_female$Type: Predicted Year: 1865 Ex: 3.086789","Age: 92 ex_fr_female$Type: Predicted Year: 1866 Ex: 3.212664","Age: 92 ex_fr_female$Type: Predicted Year: 1867 Ex: 3.144548","Age: 92 ex_fr_female$Type: Predicted Year: 1868 Ex: 3.025120","Age: 92 ex_fr_female$Type: Predicted Year: 1869 Ex: 3.042522","Age: 92 ex_fr_female$Type: Predicted Year: 1870 Ex: 2.853240","Age: 92 ex_fr_female$Type: Predicted Year: 1871 Ex: 2.754671","Age: 92 ex_fr_female$Type: Predicted Year: 1872 Ex: 3.352196","Age: 92 ex_fr_female$Type: Predicted Year: 1873 Ex: 3.096074","Age: 92 ex_fr_female$Type: Predicted Year: 1874 Ex: 3.145670","Age: 92 ex_fr_female$Type: Predicted Year: 1875 Ex: 2.928362","Age: 92 ex_fr_female$Type: Predicted Year: 1876 Ex: 3.006443","Age: 92 ex_fr_female$Type: Predicted Year: 1877 Ex: 2.968256","Age: 92 ex_fr_female$Type: Predicted Year: 1878 Ex: 3.023448","Age: 92 ex_fr_female$Type: Predicted Year: 1879 Ex: 2.773436","Age: 92 ex_fr_female$Type: Predicted Year: 1880 Ex: 3.050610","Age: 92 ex_fr_female$Type: Predicted Year: 1881 Ex: 3.274890","Age: 92 ex_fr_female$Type: Predicted Year: 1882 Ex: 3.152819","Age: 92 ex_fr_female$Type: Predicted Year: 1883 Ex: 2.940765","Age: 92 ex_fr_female$Type: Predicted Year: 1884 Ex: 3.030915","Age: 92 ex_fr_female$Type: Predicted Year: 1885 Ex: 2.903349","Age: 92 ex_fr_female$Type: Predicted Year: 1886 Ex: 2.986202","Age: 92 ex_fr_female$Type: Predicted Year: 1887 Ex: 3.123410","Age: 92 ex_fr_female$Type: Predicted Year: 1888 Ex: 2.969033","Age: 92 ex_fr_female$Type: Predicted Year: 1889 Ex: 3.156950","Age: 92 ex_fr_female$Type: Predicted Year: 1890 Ex: 2.901679","Age: 92 ex_fr_female$Type: Predicted Year: 1891 Ex: 2.615379","Age: 92 ex_fr_female$Type: Predicted Year: 1892 Ex: 2.720233","Age: 92 ex_fr_female$Type: Predicted Year: 1893 Ex: 2.781567","Age: 92 ex_fr_female$Type: Predicted Year: 1894 Ex: 2.736573","Age: 92 ex_fr_female$Type: Predicted Year: 1895 Ex: 2.596798","Age: 92 ex_fr_female$Type: Predicted Year: 1896 Ex: 3.010363","Age: 92 ex_fr_female$Type: Predicted Year: 1897 Ex: 3.117076","Age: 92 ex_fr_female$Type: Predicted Year: 1898 Ex: 2.915755","Age: 92 ex_fr_female$Type: Predicted Year: 1899 Ex: 2.758202","Age: 92 ex_fr_female$Type: Predicted Year: 1900 Ex: 2.719959","Age: 92 ex_fr_female$Type: Predicted Year: 1901 Ex: 2.833550","Age: 92 ex_fr_female$Type: Predicted Year: 1902 Ex: 2.906121","Age: 92 ex_fr_female$Type: Predicted Year: 1903 Ex: 3.024656","Age: 92 ex_fr_female$Type: Predicted Year: 1904 Ex: 2.911134","Age: 92 ex_fr_female$Type: Predicted Year: 1905 Ex: 2.609239","Age: 92 ex_fr_female$Type: Predicted Year: 1906 Ex: 2.704510","Age: 92 ex_fr_female$Type: Predicted Year: 1907 Ex: 2.785067","Age: 92 ex_fr_female$Type: Predicted Year: 1908 Ex: 2.926598","Age: 92 ex_fr_female$Type: Predicted Year: 1909 Ex: 2.792078","Age: 92 ex_fr_female$Type: Predicted Year: 1910 Ex: 2.949299","Age: 92 ex_fr_female$Type: Predicted Year: 1911 Ex: 2.693522","Age: 92 ex_fr_female$Type: Predicted Year: 1912 Ex: 3.011494","Age: 92 ex_fr_female$Type: Predicted Year: 1913 Ex: 3.014238","Age: 92 ex_fr_female$Type: Predicted Year: 1914 Ex: 2.703347","Age: 92 ex_fr_female$Type: Predicted Year: 1915 Ex: 2.816254","Age: 92 ex_fr_female$Type: Predicted Year: 1916 Ex: 2.740630","Age: 92 ex_fr_female$Type: Predicted Year: 1917 Ex: 2.707260","Age: 92 ex_fr_female$Type: Predicted Year: 1918 Ex: 2.718538","Age: 92 ex_fr_female$Type: Predicted Year: 1919 Ex: 2.634017","Age: 92 ex_fr_female$Type: Predicted Year: 1920 Ex: 2.953433","Age: 92 ex_fr_female$Type: Predicted Year: 1921 Ex: 2.879477","Age: 92 ex_fr_female$Type: Predicted Year: 1922 Ex: 2.739716","Age: 92 ex_fr_female$Type: Predicted Year: 1923 Ex: 2.938780","Age: 92 ex_fr_female$Type: Predicted Year: 1924 Ex: 2.900826","Age: 92 ex_fr_female$Type: Predicted Year: 1925 Ex: 2.714514","Age: 92 ex_fr_female$Type: Predicted Year: 1926 Ex: 2.841387","Age: 92 ex_fr_female$Type: Predicted Year: 1927 Ex: 2.752714","Age: 92 ex_fr_female$Type: Predicted Year: 1928 Ex: 2.893461","Age: 92 ex_fr_female$Type: Predicted Year: 1929 Ex: 2.609518","Age: 92 ex_fr_female$Type: Predicted Year: 1930 Ex: 3.156244","Age: 92 ex_fr_female$Type: Predicted Year: 1931 Ex: 2.817535","Age: 92 ex_fr_female$Type: Predicted Year: 1932 Ex: 2.878214","Age: 92 ex_fr_female$Type: Predicted Year: 1933 Ex: 2.841968","Age: 92 ex_fr_female$Type: Predicted Year: 1934 Ex: 3.090547","Age: 92 ex_fr_female$Type: Predicted Year: 1935 Ex: 2.912374","Age: 92 ex_fr_female$Type: Predicted Year: 1936 Ex: 3.014627","Age: 92 ex_fr_female$Type: Predicted Year: 1937 Ex: 2.988859","Age: 92 ex_fr_female$Type: Predicted Year: 1938 Ex: 2.954685","Age: 92 ex_fr_female$Type: Predicted Year: 1939 Ex: 2.870457","Age: 92 ex_fr_female$Type: Predicted Year: 1940 Ex: 2.320921","Age: 92 ex_fr_female$Type: Predicted Year: 1941 Ex: 2.681454","Age: 92 ex_fr_female$Type: Predicted Year: 1942 Ex: 2.699539","Age: 92 ex_fr_female$Type: Predicted Year: 1943 Ex: 2.786063","Age: 92 ex_fr_female$Type: Predicted Year: 1944 Ex: 2.551898","Age: 92 ex_fr_female$Type: Predicted Year: 1945 Ex: 2.830382","Age: 92 ex_fr_female$Type: Predicted Year: 1946 Ex: 3.127682","Age: 92 ex_fr_female$Type: Predicted Year: 1947 Ex: 3.224952","Age: 92 ex_fr_female$Type: Predicted Year: 1948 Ex: 3.490187","Age: 92 ex_fr_female$Type: Predicted Year: 1949 Ex: 2.987396","Age: 92 ex_fr_female$Type: Predicted Year: 1950 Ex: 3.186354","Age: 92 ex_fr_female$Type: Predicted Year: 1951 Ex: 2.977394","Age: 92 ex_fr_female$Type: Predicted Year: 1952 Ex: 3.251198","Age: 92 ex_fr_female$Type: Predicted Year: 1953 Ex: 2.964623","Age: 92 ex_fr_female$Type: Predicted Year: 1954 Ex: 3.242852","Age: 92 ex_fr_female$Type: Predicted Year: 1955 Ex: 3.205148","Age: 92 ex_fr_female$Type: Predicted Year: 1956 Ex: 3.030416","Age: 92 ex_fr_female$Type: Predicted Year: 1957 Ex: 3.207538","Age: 92 ex_fr_female$Type: Predicted Year: 1958 Ex: 3.334693","Age: 92 ex_fr_female$Type: Predicted Year: 1959 Ex: 3.277188","Age: 92 ex_fr_female$Type: Predicted Year: 1960 Ex: 3.224522","Age: 92 ex_fr_female$Type: Predicted Year: 1961 Ex: 3.420218","Age: 92 ex_fr_female$Type: Predicted Year: 1962 Ex: 3.233654","Age: 92 ex_fr_female$Type: Predicted Year: 1963 Ex: 3.199357","Age: 92 ex_fr_female$Type: Predicted Year: 1964 Ex: 3.466509","Age: 92 ex_fr_female$Type: Predicted Year: 1965 Ex: 3.369542","Age: 92 ex_fr_female$Type: Predicted Year: 1966 Ex: 3.520278","Age: 92 ex_fr_female$Type: Predicted Year: 1967 Ex: 3.459023","Age: 92 ex_fr_female$Type: Predicted Year: 1968 Ex: 3.365812","Age: 92 ex_fr_female$Type: Predicted Year: 1969 Ex: 3.465898","Age: 92 ex_fr_female$Type: Predicted Year: 1970 Ex: 3.479559","Age: 92 ex_fr_female$Type: Predicted Year: 1971 Ex: 3.384180","Age: 92 ex_fr_female$Type: Predicted Year: 1972 Ex: 3.570755","Age: 92 ex_fr_female$Type: Predicted Year: 1973 Ex: 3.481300","Age: 92 ex_fr_female$Type: Predicted Year: 1974 Ex: 3.521784","Age: 92 ex_fr_female$Type: Predicted Year: 1975 Ex: 3.524856","Age: 92 ex_fr_female$Type: Predicted Year: 1976 Ex: 3.496511","Age: 92 ex_fr_female$Type: Predicted Year: 1977 Ex: 3.699554","Age: 92 ex_fr_female$Type: Predicted Year: 1978 Ex: 3.652886","Age: 92 ex_fr_female$Type: Predicted Year: 1979 Ex: 3.731549","Age: 92 ex_fr_female$Type: Predicted Year: 1980 Ex: 3.657894","Age: 92 ex_fr_female$Type: Predicted Year: 1981 Ex: 3.612325","Age: 92 ex_fr_female$Type: Predicted Year: 1982 Ex: 3.755603","Age: 92 ex_fr_female$Type: Predicted Year: 1983 Ex: 3.624649","Age: 92 ex_fr_female$Type: Predicted Year: 1984 Ex: 3.805564","Age: 92 ex_fr_female$Type: Predicted Year: 1985 Ex: 3.762122","Age: 92 ex_fr_female$Type: Predicted Year: 1986 Ex: 3.778801","Age: 92 ex_fr_female$Type: Predicted Year: 1987 Ex: 3.956206","Age: 92 ex_fr_female$Type: Predicted Year: 1988 Ex: 3.988620","Age: 92 ex_fr_female$Type: Predicted Year: 1989 Ex: 3.907201","Age: 92 ex_fr_female$Type: Predicted Year: 1990 Ex: 3.917974","Age: 92 ex_fr_female$Type: Predicted Year: 1991 Ex: 4.061929","Age: 92 ex_fr_female$Type: Predicted Year: 1992 Ex: 4.110012","Age: 92 ex_fr_female$Type: Predicted Year: 1993 Ex: 4.066375","Age: 92 ex_fr_female$Type: Predicted Year: 1994 Ex: 4.220404","Age: 92 ex_fr_female$Type: Predicted Year: 1995 Ex: 4.151452","Age: 92 ex_fr_female$Type: Predicted Year: 1996 Ex: 4.142194","Age: 92 ex_fr_female$Type: Predicted Year: 1997 Ex: 4.180982","Age: 92 ex_fr_female$Type: Predicted Year: 1998 Ex: 4.176884","Age: 92 ex_fr_female$Type: Predicted Year: 1999 Ex: 4.168293","Age: 92 ex_fr_female$Type: Predicted Year: 2000 Ex: 4.227357","Age: 92 ex_fr_female$Type: Predicted Year: 2001 Ex: 4.260784","Age: 92 ex_fr_female$Type: Predicted Year: 2002 Ex: 4.254217","Age: 92 ex_fr_female$Type: Predicted Year: 2003 Ex: 4.102648","Age: 92 ex_fr_female$Type: Predicted Year: 2004 Ex: 4.540067","Age: 92 ex_fr_female$Type: Predicted Year: 2005 Ex: 4.438212","Age: 92 ex_fr_female$Type: Predicted Year: 2006 Ex: 4.596685","Age: 92 ex_fr_female$Type: Predicted Year: 2007 Ex: 4.623141","Age: 92 ex_fr_female$Type: Predicted Year: 2008 Ex: 4.575613","Age: 92 ex_fr_female$Type: Predicted Year: 2009 Ex: 4.582235","Age: 92 ex_fr_female$Type: Predicted Year: 2010 Ex: 4.638150","Age: 92 ex_fr_female$Type: Predicted Year: 2011 Ex: 4.742046","Age: 92 ex_fr_female$Type: Predicted Year: 2012 Ex: 4.562188","Age: 92 ex_fr_female$Type: Predicted Year: 2013 Ex: 4.650740","Age: 92 ex_fr_female$Type: Predicted Year: 2014 Ex: 4.832522","Age: 92 ex_fr_female$Type: Predicted Year: 2015 Ex: 4.603976","Age: 92 ex_fr_female$Type: Predicted Year: 2016 Ex: 4.688365","Age: 92 ex_fr_female$Type: Predicted Year: 2017 Ex: 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93 ex_fr_female$Type: Observed Year: 1816 Ex: 3.220000","Age: 93 ex_fr_female$Type: Observed Year: 1817 Ex: 2.960000","Age: 93 ex_fr_female$Type: Observed Year: 1818 Ex: 3.080000","Age: 93 ex_fr_female$Type: Observed Year: 1819 Ex: 3.220000","Age: 93 ex_fr_female$Type: Observed Year: 1820 Ex: 2.980000","Age: 93 ex_fr_female$Type: Observed Year: 1821 Ex: 3.350000","Age: 93 ex_fr_female$Type: Observed Year: 1822 Ex: 3.120000","Age: 93 ex_fr_female$Type: Observed Year: 1823 Ex: 2.930000","Age: 93 ex_fr_female$Type: Observed Year: 1824 Ex: 3.250000","Age: 93 ex_fr_female$Type: Observed Year: 1825 Ex: 3.060000","Age: 93 ex_fr_female$Type: Observed Year: 1826 Ex: 2.870000","Age: 93 ex_fr_female$Type: Observed Year: 1827 Ex: 3.240000","Age: 93 ex_fr_female$Type: Observed Year: 1828 Ex: 3.250000","Age: 93 ex_fr_female$Type: Observed Year: 1829 Ex: 2.930000","Age: 93 ex_fr_female$Type: Observed Year: 1830 Ex: 3.060000","Age: 93 ex_fr_female$Type: Observed Year: 1831 Ex: 2.860000","Age: 93 ex_fr_female$Type: Observed Year: 1832 Ex: 2.910000","Age: 93 ex_fr_female$Type: Observed Year: 1833 Ex: 3.170000","Age: 93 ex_fr_female$Type: Observed Year: 1834 Ex: 3.000000","Age: 93 ex_fr_female$Type: Observed Year: 1835 Ex: 2.990000","Age: 93 ex_fr_female$Type: Observed Year: 1836 Ex: 3.070000","Age: 93 ex_fr_female$Type: Observed Year: 1837 Ex: 2.720000","Age: 93 ex_fr_female$Type: Observed Year: 1838 Ex: 3.080000","Age: 93 ex_fr_female$Type: Observed Year: 1839 Ex: 3.230000","Age: 93 ex_fr_female$Type: Observed Year: 1840 Ex: 3.020000","Age: 93 ex_fr_female$Type: Observed Year: 1841 Ex: 2.960000","Age: 93 ex_fr_female$Type: Observed Year: 1842 Ex: 2.880000","Age: 93 ex_fr_female$Type: Observed Year: 1843 Ex: 3.010000","Age: 93 ex_fr_female$Type: Observed Year: 1844 Ex: 2.930000","Age: 93 ex_fr_female$Type: Observed Year: 1845 Ex: 3.070000","Age: 93 ex_fr_female$Type: Observed Year: 1846 Ex: 2.730000","Age: 93 ex_fr_female$Type: Observed Year: 1847 Ex: 2.650000","Age: 93 ex_fr_female$Type: Observed Year: 1848 Ex: 2.690000","Age: 93 ex_fr_female$Type: Observed Year: 1849 Ex: 2.700000","Age: 93 ex_fr_female$Type: Observed Year: 1850 Ex: 2.920000","Age: 93 ex_fr_female$Type: Observed Year: 1851 Ex: 2.700000","Age: 93 ex_fr_female$Type: Observed Year: 1852 Ex: 2.760000","Age: 93 ex_fr_female$Type: Observed Year: 1853 Ex: 2.560000","Age: 93 ex_fr_female$Type: Observed Year: 1854 Ex: 2.440000","Age: 93 ex_fr_female$Type: Observed Year: 1855 Ex: 2.180000","Age: 93 ex_fr_female$Type: Observed Year: 1856 Ex: 2.630000","Age: 93 ex_fr_female$Type: Observed Year: 1857 Ex: 2.580000","Age: 93 ex_fr_female$Type: Observed Year: 1858 Ex: 2.500000","Age: 93 ex_fr_female$Type: Observed Year: 1859 Ex: 2.560000","Age: 93 ex_fr_female$Type: Observed Year: 1860 Ex: 2.590000","Age: 93 ex_fr_female$Type: Observed Year: 1861 Ex: 2.650000","Age: 93 ex_fr_female$Type: Observed Year: 1862 Ex: 2.780000","Age: 93 ex_fr_female$Type: Observed Year: 1863 Ex: 2.690000","Age: 93 ex_fr_female$Type: Observed Year: 1864 Ex: 2.610000","Age: 93 ex_fr_female$Type: Observed Year: 1865 Ex: 2.490000","Age: 93 ex_fr_female$Type: Observed Year: 1866 Ex: 2.630000","Age: 93 ex_fr_female$Type: Observed Year: 1867 Ex: 2.570000","Age: 93 ex_fr_female$Type: Observed Year: 1868 Ex: 2.470000","Age: 93 ex_fr_female$Type: Observed Year: 1869 Ex: 2.490000","Age: 93 ex_fr_female$Type: Observed Year: 1870 Ex: 2.310000","Age: 93 ex_fr_female$Type: Observed Year: 1871 Ex: 2.200000","Age: 93 ex_fr_female$Type: Observed Year: 1872 Ex: 2.740000","Age: 93 ex_fr_female$Type: Observed Year: 1873 Ex: 2.530000","Age: 93 ex_fr_female$Type: Observed Year: 1874 Ex: 2.580000","Age: 93 ex_fr_female$Type: Observed Year: 1875 Ex: 2.380000","Age: 93 ex_fr_female$Type: Observed Year: 1876 Ex: 2.440000","Age: 93 ex_fr_female$Type: Observed Year: 1877 Ex: 2.390000","Age: 93 ex_fr_female$Type: Observed Year: 1878 Ex: 2.460000","Age: 93 ex_fr_female$Type: Observed Year: 1879 Ex: 2.220000","Age: 93 ex_fr_female$Type: Observed Year: 1880 Ex: 2.480000","Age: 93 ex_fr_female$Type: Observed Year: 1881 Ex: 2.710000","Age: 93 ex_fr_female$Type: Observed Year: 1882 Ex: 2.590000","Age: 93 ex_fr_female$Type: Observed Year: 1883 Ex: 2.390000","Age: 93 ex_fr_female$Type: Observed Year: 1884 Ex: 2.480000","Age: 93 ex_fr_female$Type: Observed Year: 1885 Ex: 2.320000","Age: 93 ex_fr_female$Type: Observed Year: 1886 Ex: 2.400000","Age: 93 ex_fr_female$Type: Observed Year: 1887 Ex: 2.530000","Age: 93 ex_fr_female$Type: Observed Year: 1888 Ex: 2.380000","Age: 93 ex_fr_female$Type: Observed Year: 1889 Ex: 2.570000","Age: 93 ex_fr_female$Type: Observed Year: 1890 Ex: 2.350000","Age: 93 ex_fr_female$Type: Observed Year: 1891 Ex: 2.070000","Age: 93 ex_fr_female$Type: Observed Year: 1892 Ex: 2.190000","Age: 93 ex_fr_female$Type: Observed Year: 1893 Ex: 2.250000","Age: 93 ex_fr_female$Type: Observed Year: 1894 Ex: 2.190000","Age: 93 ex_fr_female$Type: Observed Year: 1895 Ex: 2.040000","Age: 93 ex_fr_female$Type: Observed Year: 1896 Ex: 2.430000","Age: 93 ex_fr_female$Type: Observed Year: 1897 Ex: 2.540000","Age: 93 ex_fr_female$Type: Observed Year: 1898 Ex: 2.350000","Age: 93 ex_fr_female$Type: Observed Year: 1899 Ex: 2.190000","Age: 93 ex_fr_female$Type: Observed Year: 1900 Ex: 2.170000","Age: 93 ex_fr_female$Type: Observed Year: 1901 Ex: 2.270000","Age: 93 ex_fr_female$Type: Observed Year: 1902 Ex: 2.310000","Age: 93 ex_fr_female$Type: Observed Year: 1903 Ex: 2.470000","Age: 93 ex_fr_female$Type: Observed Year: 1904 Ex: 2.380000","Age: 93 ex_fr_female$Type: Observed Year: 1905 Ex: 2.020000","Age: 93 ex_fr_female$Type: Observed Year: 1906 Ex: 2.160000","Age: 93 ex_fr_female$Type: Observed Year: 1907 Ex: 2.190000","Age: 93 ex_fr_female$Type: Observed Year: 1908 Ex: 2.380000","Age: 93 ex_fr_female$Type: Observed Year: 1909 Ex: 2.220000","Age: 93 ex_fr_female$Type: Observed Year: 1910 Ex: 2.400000","Age: 93 ex_fr_female$Type: Observed Year: 1911 Ex: 2.120000","Age: 93 ex_fr_female$Type: Observed Year: 1912 Ex: 2.450000","Age: 93 ex_fr_female$Type: Observed Year: 1913 Ex: 2.390000","Age: 93 ex_fr_female$Type: Observed Year: 1914 Ex: 2.080000","Age: 93 ex_fr_female$Type: Observed Year: 1915 Ex: 2.270000","Age: 93 ex_fr_female$Type: Observed Year: 1916 Ex: 2.150000","Age: 93 ex_fr_female$Type: Observed Year: 1917 Ex: 2.110000","Age: 93 ex_fr_female$Type: Observed Year: 1918 Ex: 2.160000","Age: 93 ex_fr_female$Type: Observed Year: 1919 Ex: 2.060000","Age: 93 ex_fr_female$Type: Observed Year: 1920 Ex: 2.380000","Age: 93 ex_fr_female$Type: Observed Year: 1921 Ex: 2.350000","Age: 93 ex_fr_female$Type: Observed Year: 1922 Ex: 2.180000","Age: 93 ex_fr_female$Type: Observed Year: 1923 Ex: 2.350000","Age: 93 ex_fr_female$Type: Observed Year: 1924 Ex: 2.300000","Age: 93 ex_fr_female$Type: Observed Year: 1925 Ex: 2.150000","Age: 93 ex_fr_female$Type: Observed Year: 1926 Ex: 2.250000","Age: 93 ex_fr_female$Type: Observed Year: 1927 Ex: 2.210000","Age: 93 ex_fr_female$Type: Observed Year: 1928 Ex: 2.320000","Age: 93 ex_fr_female$Type: Observed Year: 1929 Ex: 2.040000","Age: 93 ex_fr_female$Type: Observed Year: 1930 Ex: 2.580000","Age: 93 ex_fr_female$Type: Observed Year: 1931 Ex: 2.220000","Age: 93 ex_fr_female$Type: Observed Year: 1932 Ex: 2.300000","Age: 93 ex_fr_female$Type: Observed Year: 1933 Ex: 2.280000","Age: 93 ex_fr_female$Type: Observed Year: 1934 Ex: 2.530000","Age: 93 ex_fr_female$Type: Observed Year: 1935 Ex: 2.330000","Age: 93 ex_fr_female$Type: Observed Year: 1936 Ex: 2.430000","Age: 93 ex_fr_female$Type: Observed Year: 1937 Ex: 2.410000","Age: 93 ex_fr_female$Type: Observed Year: 1938 Ex: 2.370000","Age: 93 ex_fr_female$Type: Observed Year: 1939 Ex: 2.260000","Age: 93 ex_fr_female$Type: Observed Year: 1940 Ex: 1.760000","Age: 93 ex_fr_female$Type: Observed Year: 1941 Ex: 2.110000","Age: 93 ex_fr_female$Type: Observed Year: 1942 Ex: 2.100000","Age: 93 ex_fr_female$Type: Observed Year: 1943 Ex: 2.210000","Age: 93 ex_fr_female$Type: Observed Year: 1944 Ex: 1.990000","Age: 93 ex_fr_female$Type: Observed Year: 1945 Ex: 2.290000","Age: 93 ex_fr_female$Type: Observed Year: 1946 Ex: 2.520000","Age: 93 ex_fr_female$Type: Observed Year: 1947 Ex: 2.630000","Age: 93 ex_fr_female$Type: Observed Year: 1948 Ex: 2.870000","Age: 93 ex_fr_female$Type: Observed Year: 1949 Ex: 2.380000","Age: 93 ex_fr_female$Type: Observed Year: 1950 Ex: 2.590000","Age: 93 ex_fr_female$Type: Observed Year: 1951 Ex: 2.410000","Age: 93 ex_fr_female$Type: Observed Year: 1952 Ex: 2.640000","Age: 93 ex_fr_female$Type: Observed Year: 1953 Ex: 2.390000","Age: 93 ex_fr_female$Type: Observed Year: 1954 Ex: 2.660000","Age: 93 ex_fr_female$Type: Observed Year: 1955 Ex: 2.620000","Age: 93 ex_fr_female$Type: Observed Year: 1956 Ex: 2.460000","Age: 93 ex_fr_female$Type: Observed Year: 1957 Ex: 2.580000","Age: 93 ex_fr_female$Type: Observed Year: 1958 Ex: 2.720000","Age: 93 ex_fr_female$Type: Observed Year: 1959 Ex: 2.670000","Age: 93 ex_fr_female$Type: Observed Year: 1960 Ex: 2.630000","Age: 93 ex_fr_female$Type: Observed Year: 1961 Ex: 2.810000","Age: 93 ex_fr_female$Type: Observed Year: 1962 Ex: 2.640000","Age: 93 ex_fr_female$Type: Observed Year: 1963 Ex: 2.580000","Age: 93 ex_fr_female$Type: Observed Year: 1964 Ex: 2.850000","Age: 93 ex_fr_female$Type: Observed Year: 1965 Ex: 2.770000","Age: 93 ex_fr_female$Type: Observed Year: 1966 Ex: 2.930000","Age: 93 ex_fr_female$Type: Observed Year: 1967 Ex: 2.810000","Age: 93 ex_fr_female$Type: Observed Year: 1968 Ex: 2.740000","Age: 93 ex_fr_female$Type: Observed Year: 1969 Ex: 2.840000","Age: 93 ex_fr_female$Type: Observed Year: 1970 Ex: 2.860000","Age: 93 ex_fr_female$Type: Observed Year: 1971 Ex: 2.760000","Age: 93 ex_fr_female$Type: Observed Year: 1972 Ex: 2.950000","Age: 93 ex_fr_female$Type: Observed Year: 1973 Ex: 2.850000","Age: 93 ex_fr_female$Type: Observed Year: 1974 Ex: 2.900000","Age: 93 ex_fr_female$Type: Observed Year: 1975 Ex: 2.890000","Age: 93 ex_fr_female$Type: Observed Year: 1976 Ex: 2.870000","Age: 93 ex_fr_female$Type: Observed Year: 1977 Ex: 3.070000","Age: 93 ex_fr_female$Type: Observed Year: 1978 Ex: 3.020000","Age: 93 ex_fr_female$Type: Observed Year: 1979 Ex: 3.110000","Age: 93 ex_fr_female$Type: Observed Year: 1980 Ex: 3.040000","Age: 93 ex_fr_female$Type: Observed Year: 1981 Ex: 2.970000","Age: 93 ex_fr_female$Type: Observed Year: 1982 Ex: 3.110000","Age: 93 ex_fr_female$Type: Observed Year: 1983 Ex: 2.970000","Age: 93 ex_fr_female$Type: Observed Year: 1984 Ex: 3.180000","Age: 93 ex_fr_female$Type: Observed Year: 1985 Ex: 3.120000","Age: 93 ex_fr_female$Type: Observed Year: 1986 Ex: 3.120000","Age: 93 ex_fr_female$Type: Observed Year: 1987 Ex: 3.310000","Age: 93 ex_fr_female$Type: Observed Year: 1988 Ex: 3.350000","Age: 93 ex_fr_female$Type: Observed Year: 1989 Ex: 3.250000","Age: 93 ex_fr_female$Type: Observed Year: 1990 Ex: 3.260000","Age: 93 ex_fr_female$Type: Observed Year: 1991 Ex: 3.390000","Age: 93 ex_fr_female$Type: Observed Year: 1992 Ex: 3.430000","Age: 93 ex_fr_female$Type: Observed Year: 1993 Ex: 3.410000","Age: 93 ex_fr_female$Type: Observed Year: 1994 Ex: 3.550000","Age: 93 ex_fr_female$Type: Observed Year: 1995 Ex: 3.480000","Age: 93 ex_fr_female$Type: Observed Year: 1996 Ex: 3.470000","Age: 93 ex_fr_female$Type: Observed Year: 1997 Ex: 3.500000","Age: 93 ex_fr_female$Type: Observed Year: 1998 Ex: 3.500000","Age: 93 ex_fr_female$Type: Observed Year: 1999 Ex: 3.490000","Age: 93 ex_fr_female$Type: Observed Year: 2000 Ex: 3.550000","Age: 93 ex_fr_female$Type: Observed Year: 2001 Ex: 3.580000","Age: 93 ex_fr_female$Type: Observed Year: 2002 Ex: 3.570000","Age: 93 ex_fr_female$Type: Observed Year: 2003 Ex: 3.410000","Age: 93 ex_fr_female$Type: Observed Year: 2004 Ex: 3.840000","Age: 93 ex_fr_female$Type: Observed Year: 2005 Ex: 3.720000","Age: 93 ex_fr_female$Type: Observed Year: 2006 Ex: 3.900000","Age: 93 ex_fr_female$Type: Observed Year: 2007 Ex: 3.910000","Age: 93 ex_fr_female$Type: Observed Year: 2008 Ex: 3.880000","Age: 93 ex_fr_female$Type: Observed Year: 2009 Ex: 3.860000","Age: 93 ex_fr_female$Type: Observed Year: 2010 Ex: 3.910000","Age: 93 ex_fr_female$Type: Observed Year: 2011 Ex: 4.020000","Age: 93 ex_fr_female$Type: Observed Year: 2012 Ex: 3.840000","Age: 93 ex_fr_female$Type: Observed Year: 2013 Ex: 3.930000","Age: 93 ex_fr_female$Type: Observed Year: 2014 Ex: 4.110000","Age: 93 ex_fr_female$Type: Observed Year: 2015 Ex: 3.870000","Age: 93 ex_fr_female$Type: Observed Year: 2016 Ex: 3.960000","Age: 93 ex_fr_female$Type: Observed Year: 2017 Ex: 3.870000"],"frame":"93","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[3.6774521226863,3.42253840793958,3.52811664274367,3.66253224961113,3.44047301547982,3.7951607872182,3.55533428330765,3.38226179651105,3.7137007655543,3.51046032241595,3.32578949430394,3.6948224981448,3.69231878790868,3.37687211095811,3.51047400831591,3.31739946417384,3.36034073864118,3.61398007080608,3.44781923567453,3.43586962050432,3.51167732160019,3.17329509206764,3.52433808541444,3.67448787969914,3.44935574318839,3.4093818144391,3.32921010089999,3.45365856529401,3.37312945169301,3.51769417832644,3.17135505737257,3.08519296459864,3.14468618118804,3.15330861698289,3.35961925598815,3.14180430392385,3.20090322146134,3.00430207121447,2.88598094789627,2.63493953076682,3.06104776477993,3.00888413574937,2.93213946412607,2.99793789164611,3.03200834164374,3.0882660677338,3.21138524143147,3.12506276916359,3.04549007600207,2.92830001593111,3.07028633935484,3.00831791696527,2.91225186459085,2.93949551662458,2.75629039129431,2.64392815800388,3.17830470045439,2.961523369482,3.01564751907735,2.82884706509867,2.87971311343003,2.83687791376914,2.89676867993921,2.66238319960385,2.92624948431513,3.1493962479888,3.0320618645592,2.84036670638965,2.92957873480085,2.77473652006384,2.83625151592996,2.96409483436307,2.82257015418904,3.01282034515148,2.79476802706425,2.53093413367354,2.63999451747081,2.69569465204281,2.64161429895649,2.49644249831628,2.86509492723917,2.99009689434174,2.79535137952969,2.64345140472287,2.62180916520179,2.72142980822462,2.76017360503816,2.91420897178758,2.81568461141606,2.49034581522593,2.61214273251038,2.64725893420262,2.82717900395073,2.67732867405082,2.84566419446389,2.56703850919927,2.8940128190785,2.84239467917612,2.54121935312105,2.72151230764836,2.60741454759032,2.55629865484276,2.61221093021503,2.5171606152075,2.83231785295883,2.79695941464721,2.63559114746796,2.79672524508813,2.7521666862914,2.60563924867927,2.70153789185363,2.66813225748771,2.76253313650033,2.49286910181317,3.01726334522037,2.67386432983909,2.74570370750791,2.71948093557892,2.96864555383526,2.77987279810828,2.87636085325159,2.85696420432777,2.81690199343211,2.71428388099744,2.23405806977367,2.56198425729417,2.55720242243259,2.66210053955197,2.44590533070873,2.72989658005114,2.96489372477396,3.07082013932209,3.30144728626377,2.82678986687091,3.02860567532471,2.8492668226505,3.07019821082594,2.82818573923728,3.09142275938005,3.05810953390798,2.89579021608877,3.01557834073418,3.14964488475854,3.1086208706547,3.06248640208386,3.24010395881749,3.07162503076236,3.01663534370011,3.27866064145452,3.19823065111399,3.35168186540617,3.24185297473581,3.17228642325464,3.26739594342005,3.2870905947315,3.18750238365483,3.37198208626815,3.28001456168759,3.32513304538468,3.3173161934612,3.29787546022795,3.49013183281346,3.44325355596752,3.52294104353329,3.45516114841962,3.39299769684204,3.53174152883012,3.39202764910265,3.5894331737529,3.52989876755304,3.53897165844355,3.72045595792472,3.75681164994432,3.66237983377621,3.67149432183139,3.79679871589597,3.83176020881297,3.81259171664695,3.94966419117922,3.88108747413148,3.86923052220836,3.90433494422313,3.89770194155828,3.89211776037681,3.94667108612281,3.9789604580424,3.97037328564832,3.81443357026635,4.23081837786981,4.11758516966226,4.28877341614425,4.29865511285561,4.26711463726694,4.25138198535907,4.30050464189399,4.40882410690021,4.23223465414563,4.31690115674171,4.48853861359639,4.25521521091317,4.34690034234535,4.2557807428319],"text":["Age: 93 ex_fr_female$Type: Predicted Year: 1816 Ex: 3.677452","Age: 93 ex_fr_female$Type: Predicted Year: 1817 Ex: 3.422538","Age: 93 ex_fr_female$Type: Predicted Year: 1818 Ex: 3.528117","Age: 93 ex_fr_female$Type: Predicted Year: 1819 Ex: 3.662532","Age: 93 ex_fr_female$Type: Predicted Year: 1820 Ex: 3.440473","Age: 93 ex_fr_female$Type: Predicted Year: 1821 Ex: 3.795161","Age: 93 ex_fr_female$Type: Predicted Year: 1822 Ex: 3.555334","Age: 93 ex_fr_female$Type: Predicted Year: 1823 Ex: 3.382262","Age: 93 ex_fr_female$Type: Predicted Year: 1824 Ex: 3.713701","Age: 93 ex_fr_female$Type: Predicted Year: 1825 Ex: 3.510460","Age: 93 ex_fr_female$Type: Predicted Year: 1826 Ex: 3.325789","Age: 93 ex_fr_female$Type: Predicted Year: 1827 Ex: 3.694822","Age: 93 ex_fr_female$Type: Predicted Year: 1828 Ex: 3.692319","Age: 93 ex_fr_female$Type: Predicted Year: 1829 Ex: 3.376872","Age: 93 ex_fr_female$Type: Predicted Year: 1830 Ex: 3.510474","Age: 93 ex_fr_female$Type: Predicted Year: 1831 Ex: 3.317399","Age: 93 ex_fr_female$Type: Predicted Year: 1832 Ex: 3.360341","Age: 93 ex_fr_female$Type: Predicted Year: 1833 Ex: 3.613980","Age: 93 ex_fr_female$Type: Predicted Year: 1834 Ex: 3.447819","Age: 93 ex_fr_female$Type: Predicted Year: 1835 Ex: 3.435870","Age: 93 ex_fr_female$Type: Predicted Year: 1836 Ex: 3.511677","Age: 93 ex_fr_female$Type: Predicted Year: 1837 Ex: 3.173295","Age: 93 ex_fr_female$Type: Predicted Year: 1838 Ex: 3.524338","Age: 93 ex_fr_female$Type: Predicted Year: 1839 Ex: 3.674488","Age: 93 ex_fr_female$Type: Predicted Year: 1840 Ex: 3.449356","Age: 93 ex_fr_female$Type: Predicted Year: 1841 Ex: 3.409382","Age: 93 ex_fr_female$Type: Predicted Year: 1842 Ex: 3.329210","Age: 93 ex_fr_female$Type: Predicted Year: 1843 Ex: 3.453659","Age: 93 ex_fr_female$Type: Predicted Year: 1844 Ex: 3.373129","Age: 93 ex_fr_female$Type: Predicted Year: 1845 Ex: 3.517694","Age: 93 ex_fr_female$Type: Predicted Year: 1846 Ex: 3.171355","Age: 93 ex_fr_female$Type: Predicted Year: 1847 Ex: 3.085193","Age: 93 ex_fr_female$Type: Predicted Year: 1848 Ex: 3.144686","Age: 93 ex_fr_female$Type: Predicted Year: 1849 Ex: 3.153309","Age: 93 ex_fr_female$Type: Predicted Year: 1850 Ex: 3.359619","Age: 93 ex_fr_female$Type: Predicted Year: 1851 Ex: 3.141804","Age: 93 ex_fr_female$Type: Predicted Year: 1852 Ex: 3.200903","Age: 93 ex_fr_female$Type: Predicted Year: 1853 Ex: 3.004302","Age: 93 ex_fr_female$Type: Predicted Year: 1854 Ex: 2.885981","Age: 93 ex_fr_female$Type: Predicted Year: 1855 Ex: 2.634940","Age: 93 ex_fr_female$Type: Predicted Year: 1856 Ex: 3.061048","Age: 93 ex_fr_female$Type: Predicted Year: 1857 Ex: 3.008884","Age: 93 ex_fr_female$Type: Predicted Year: 1858 Ex: 2.932139","Age: 93 ex_fr_female$Type: Predicted Year: 1859 Ex: 2.997938","Age: 93 ex_fr_female$Type: Predicted Year: 1860 Ex: 3.032008","Age: 93 ex_fr_female$Type: Predicted Year: 1861 Ex: 3.088266","Age: 93 ex_fr_female$Type: Predicted Year: 1862 Ex: 3.211385","Age: 93 ex_fr_female$Type: Predicted Year: 1863 Ex: 3.125063","Age: 93 ex_fr_female$Type: Predicted Year: 1864 Ex: 3.045490","Age: 93 ex_fr_female$Type: Predicted Year: 1865 Ex: 2.928300","Age: 93 ex_fr_female$Type: Predicted Year: 1866 Ex: 3.070286","Age: 93 ex_fr_female$Type: Predicted Year: 1867 Ex: 3.008318","Age: 93 ex_fr_female$Type: Predicted Year: 1868 Ex: 2.912252","Age: 93 ex_fr_female$Type: Predicted Year: 1869 Ex: 2.939496","Age: 93 ex_fr_female$Type: Predicted Year: 1870 Ex: 2.756290","Age: 93 ex_fr_female$Type: Predicted Year: 1871 Ex: 2.643928","Age: 93 ex_fr_female$Type: Predicted Year: 1872 Ex: 3.178305","Age: 93 ex_fr_female$Type: Predicted Year: 1873 Ex: 2.961523","Age: 93 ex_fr_female$Type: Predicted Year: 1874 Ex: 3.015648","Age: 93 ex_fr_female$Type: Predicted Year: 1875 Ex: 2.828847","Age: 93 ex_fr_female$Type: Predicted Year: 1876 Ex: 2.879713","Age: 93 ex_fr_female$Type: Predicted Year: 1877 Ex: 2.836878","Age: 93 ex_fr_female$Type: Predicted Year: 1878 Ex: 2.896769","Age: 93 ex_fr_female$Type: Predicted Year: 1879 Ex: 2.662383","Age: 93 ex_fr_female$Type: Predicted Year: 1880 Ex: 2.926249","Age: 93 ex_fr_female$Type: Predicted Year: 1881 Ex: 3.149396","Age: 93 ex_fr_female$Type: Predicted Year: 1882 Ex: 3.032062","Age: 93 ex_fr_female$Type: Predicted Year: 1883 Ex: 2.840367","Age: 93 ex_fr_female$Type: Predicted Year: 1884 Ex: 2.929579","Age: 93 ex_fr_female$Type: Predicted Year: 1885 Ex: 2.774737","Age: 93 ex_fr_female$Type: Predicted Year: 1886 Ex: 2.836252","Age: 93 ex_fr_female$Type: Predicted Year: 1887 Ex: 2.964095","Age: 93 ex_fr_female$Type: Predicted Year: 1888 Ex: 2.822570","Age: 93 ex_fr_female$Type: Predicted Year: 1889 Ex: 3.012820","Age: 93 ex_fr_female$Type: Predicted Year: 1890 Ex: 2.794768","Age: 93 ex_fr_female$Type: Predicted Year: 1891 Ex: 2.530934","Age: 93 ex_fr_female$Type: Predicted Year: 1892 Ex: 2.639995","Age: 93 ex_fr_female$Type: Predicted Year: 1893 Ex: 2.695695","Age: 93 ex_fr_female$Type: Predicted Year: 1894 Ex: 2.641614","Age: 93 ex_fr_female$Type: Predicted Year: 1895 Ex: 2.496442","Age: 93 ex_fr_female$Type: Predicted Year: 1896 Ex: 2.865095","Age: 93 ex_fr_female$Type: Predicted Year: 1897 Ex: 2.990097","Age: 93 ex_fr_female$Type: Predicted Year: 1898 Ex: 2.795351","Age: 93 ex_fr_female$Type: Predicted Year: 1899 Ex: 2.643451","Age: 93 ex_fr_female$Type: Predicted Year: 1900 Ex: 2.621809","Age: 93 ex_fr_female$Type: Predicted Year: 1901 Ex: 2.721430","Age: 93 ex_fr_female$Type: Predicted Year: 1902 Ex: 2.760174","Age: 93 ex_fr_female$Type: Predicted Year: 1903 Ex: 2.914209","Age: 93 ex_fr_female$Type: Predicted Year: 1904 Ex: 2.815685","Age: 93 ex_fr_female$Type: Predicted Year: 1905 Ex: 2.490346","Age: 93 ex_fr_female$Type: Predicted Year: 1906 Ex: 2.612143","Age: 93 ex_fr_female$Type: Predicted Year: 1907 Ex: 2.647259","Age: 93 ex_fr_female$Type: Predicted Year: 1908 Ex: 2.827179","Age: 93 ex_fr_female$Type: Predicted Year: 1909 Ex: 2.677329","Age: 93 ex_fr_female$Type: Predicted Year: 1910 Ex: 2.845664","Age: 93 ex_fr_female$Type: Predicted Year: 1911 Ex: 2.567039","Age: 93 ex_fr_female$Type: Predicted Year: 1912 Ex: 2.894013","Age: 93 ex_fr_female$Type: Predicted Year: 1913 Ex: 2.842395","Age: 93 ex_fr_female$Type: Predicted Year: 1914 Ex: 2.541219","Age: 93 ex_fr_female$Type: Predicted Year: 1915 Ex: 2.721512","Age: 93 ex_fr_female$Type: Predicted Year: 1916 Ex: 2.607415","Age: 93 ex_fr_female$Type: Predicted Year: 1917 Ex: 2.556299","Age: 93 ex_fr_female$Type: Predicted Year: 1918 Ex: 2.612211","Age: 93 ex_fr_female$Type: Predicted Year: 1919 Ex: 2.517161","Age: 93 ex_fr_female$Type: Predicted Year: 1920 Ex: 2.832318","Age: 93 ex_fr_female$Type: Predicted Year: 1921 Ex: 2.796959","Age: 93 ex_fr_female$Type: Predicted Year: 1922 Ex: 2.635591","Age: 93 ex_fr_female$Type: Predicted Year: 1923 Ex: 2.796725","Age: 93 ex_fr_female$Type: Predicted Year: 1924 Ex: 2.752167","Age: 93 ex_fr_female$Type: Predicted Year: 1925 Ex: 2.605639","Age: 93 ex_fr_female$Type: Predicted Year: 1926 Ex: 2.701538","Age: 93 ex_fr_female$Type: Predicted Year: 1927 Ex: 2.668132","Age: 93 ex_fr_female$Type: Predicted Year: 1928 Ex: 2.762533","Age: 93 ex_fr_female$Type: Predicted Year: 1929 Ex: 2.492869","Age: 93 ex_fr_female$Type: Predicted Year: 1930 Ex: 3.017263","Age: 93 ex_fr_female$Type: Predicted Year: 1931 Ex: 2.673864","Age: 93 ex_fr_female$Type: Predicted Year: 1932 Ex: 2.745704","Age: 93 ex_fr_female$Type: Predicted Year: 1933 Ex: 2.719481","Age: 93 ex_fr_female$Type: Predicted Year: 1934 Ex: 2.968646","Age: 93 ex_fr_female$Type: Predicted Year: 1935 Ex: 2.779873","Age: 93 ex_fr_female$Type: Predicted Year: 1936 Ex: 2.876361","Age: 93 ex_fr_female$Type: Predicted Year: 1937 Ex: 2.856964","Age: 93 ex_fr_female$Type: Predicted Year: 1938 Ex: 2.816902","Age: 93 ex_fr_female$Type: Predicted Year: 1939 Ex: 2.714284","Age: 93 ex_fr_female$Type: Predicted Year: 1940 Ex: 2.234058","Age: 93 ex_fr_female$Type: Predicted Year: 1941 Ex: 2.561984","Age: 93 ex_fr_female$Type: Predicted Year: 1942 Ex: 2.557202","Age: 93 ex_fr_female$Type: Predicted Year: 1943 Ex: 2.662101","Age: 93 ex_fr_female$Type: Predicted Year: 1944 Ex: 2.445905","Age: 93 ex_fr_female$Type: Predicted Year: 1945 Ex: 2.729897","Age: 93 ex_fr_female$Type: Predicted Year: 1946 Ex: 2.964894","Age: 93 ex_fr_female$Type: Predicted Year: 1947 Ex: 3.070820","Age: 93 ex_fr_female$Type: Predicted Year: 1948 Ex: 3.301447","Age: 93 ex_fr_female$Type: Predicted Year: 1949 Ex: 2.826790","Age: 93 ex_fr_female$Type: Predicted Year: 1950 Ex: 3.028606","Age: 93 ex_fr_female$Type: Predicted Year: 1951 Ex: 2.849267","Age: 93 ex_fr_female$Type: Predicted Year: 1952 Ex: 3.070198","Age: 93 ex_fr_female$Type: Predicted Year: 1953 Ex: 2.828186","Age: 93 ex_fr_female$Type: Predicted Year: 1954 Ex: 3.091423","Age: 93 ex_fr_female$Type: Predicted Year: 1955 Ex: 3.058110","Age: 93 ex_fr_female$Type: Predicted Year: 1956 Ex: 2.895790","Age: 93 ex_fr_female$Type: Predicted Year: 1957 Ex: 3.015578","Age: 93 ex_fr_female$Type: Predicted Year: 1958 Ex: 3.149645","Age: 93 ex_fr_female$Type: Predicted Year: 1959 Ex: 3.108621","Age: 93 ex_fr_female$Type: Predicted Year: 1960 Ex: 3.062486","Age: 93 ex_fr_female$Type: Predicted Year: 1961 Ex: 3.240104","Age: 93 ex_fr_female$Type: Predicted Year: 1962 Ex: 3.071625","Age: 93 ex_fr_female$Type: Predicted Year: 1963 Ex: 3.016635","Age: 93 ex_fr_female$Type: Predicted Year: 1964 Ex: 3.278661","Age: 93 ex_fr_female$Type: Predicted Year: 1965 Ex: 3.198231","Age: 93 ex_fr_female$Type: Predicted Year: 1966 Ex: 3.351682","Age: 93 ex_fr_female$Type: Predicted Year: 1967 Ex: 3.241853","Age: 93 ex_fr_female$Type: Predicted Year: 1968 Ex: 3.172286","Age: 93 ex_fr_female$Type: Predicted Year: 1969 Ex: 3.267396","Age: 93 ex_fr_female$Type: Predicted Year: 1970 Ex: 3.287091","Age: 93 ex_fr_female$Type: Predicted Year: 1971 Ex: 3.187502","Age: 93 ex_fr_female$Type: Predicted Year: 1972 Ex: 3.371982","Age: 93 ex_fr_female$Type: Predicted Year: 1973 Ex: 3.280015","Age: 93 ex_fr_female$Type: Predicted Year: 1974 Ex: 3.325133","Age: 93 ex_fr_female$Type: Predicted Year: 1975 Ex: 3.317316","Age: 93 ex_fr_female$Type: Predicted Year: 1976 Ex: 3.297875","Age: 93 ex_fr_female$Type: Predicted Year: 1977 Ex: 3.490132","Age: 93 ex_fr_female$Type: Predicted Year: 1978 Ex: 3.443254","Age: 93 ex_fr_female$Type: Predicted Year: 1979 Ex: 3.522941","Age: 93 ex_fr_female$Type: Predicted Year: 1980 Ex: 3.455161","Age: 93 ex_fr_female$Type: Predicted Year: 1981 Ex: 3.392998","Age: 93 ex_fr_female$Type: Predicted Year: 1982 Ex: 3.531742","Age: 93 ex_fr_female$Type: Predicted Year: 1983 Ex: 3.392028","Age: 93 ex_fr_female$Type: Predicted Year: 1984 Ex: 3.589433","Age: 93 ex_fr_female$Type: Predicted Year: 1985 Ex: 3.529899","Age: 93 ex_fr_female$Type: Predicted Year: 1986 Ex: 3.538972","Age: 93 ex_fr_female$Type: Predicted Year: 1987 Ex: 3.720456","Age: 93 ex_fr_female$Type: Predicted Year: 1988 Ex: 3.756812","Age: 93 ex_fr_female$Type: Predicted Year: 1989 Ex: 3.662380","Age: 93 ex_fr_female$Type: Predicted Year: 1990 Ex: 3.671494","Age: 93 ex_fr_female$Type: Predicted Year: 1991 Ex: 3.796799","Age: 93 ex_fr_female$Type: Predicted Year: 1992 Ex: 3.831760","Age: 93 ex_fr_female$Type: Predicted Year: 1993 Ex: 3.812592","Age: 93 ex_fr_female$Type: Predicted Year: 1994 Ex: 3.949664","Age: 93 ex_fr_female$Type: Predicted Year: 1995 Ex: 3.881087","Age: 93 ex_fr_female$Type: Predicted Year: 1996 Ex: 3.869231","Age: 93 ex_fr_female$Type: Predicted Year: 1997 Ex: 3.904335","Age: 93 ex_fr_female$Type: Predicted Year: 1998 Ex: 3.897702","Age: 93 ex_fr_female$Type: Predicted Year: 1999 Ex: 3.892118","Age: 93 ex_fr_female$Type: Predicted Year: 2000 Ex: 3.946671","Age: 93 ex_fr_female$Type: Predicted Year: 2001 Ex: 3.978960","Age: 93 ex_fr_female$Type: Predicted Year: 2002 Ex: 3.970373","Age: 93 ex_fr_female$Type: Predicted Year: 2003 Ex: 3.814434","Age: 93 ex_fr_female$Type: Predicted Year: 2004 Ex: 4.230818","Age: 93 ex_fr_female$Type: Predicted Year: 2005 Ex: 4.117585","Age: 93 ex_fr_female$Type: Predicted Year: 2006 Ex: 4.288773","Age: 93 ex_fr_female$Type: Predicted Year: 2007 Ex: 4.298655","Age: 93 ex_fr_female$Type: Predicted Year: 2008 Ex: 4.267115","Age: 93 ex_fr_female$Type: Predicted Year: 2009 Ex: 4.251382","Age: 93 ex_fr_female$Type: Predicted Year: 2010 Ex: 4.300505","Age: 93 ex_fr_female$Type: Predicted Year: 2011 Ex: 4.408824","Age: 93 ex_fr_female$Type: Predicted Year: 2012 Ex: 4.232235","Age: 93 ex_fr_female$Type: Predicted Year: 2013 Ex: 4.316901","Age: 93 ex_fr_female$Type: Predicted Year: 2014 Ex: 4.488539","Age: 93 ex_fr_female$Type: Predicted Year: 2015 Ex: 4.255215","Age: 93 ex_fr_female$Type: Predicted Year: 2016 Ex: 4.346900","Age: 93 ex_fr_female$Type: Predicted Year: 2017 Ex: 4.255781"],"frame":"93","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"94","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[3.1,2.86,2.94,3.06,2.87,3.19,2.93,2.8,3.16,2.94,2.75,3.13,3.08,2.79,2.93,2.74,2.77,3.02,2.87,2.85,2.92,2.59,2.92,3.09,2.8,2.82,2.74,2.84,2.79,2.93,2.58,2.47,2.56,2.57,2.75,2.55,2.61,2.41,2.32,2.08,2.43,2.38,2.32,2.39,2.47,2.5,2.59,2.54,2.45,2.25,2.46,2.4,2.33,2.37,2.19,2.05,2.5,2.35,2.42,2.27,2.29,2.25,2.3,2.09,2.34,2.56,2.45,2.27,2.37,2.21,2.23,2.34,2.23,2.41,2.22,1.99,2.09,2.13,2.09,1.94,2.25,2.42,2.22,2.08,2.06,2.17,2.19,2.41,2.18,1.81,2.04,2.19,2.22,2.13,2.25,2,2.38,2.35,1.97,2.14,2.02,1.97,2.05,1.98,2.3,2.22,2.1,2.22,2.17,2.07,2.12,2.11,2.21,1.93,2.41,2.12,2.18,2.1,2.35,2.22,2.33,2.32,2.28,2.13,1.71,2.03,1.99,2.1,1.91,2.12,2.38,2.49,2.72,2.24,2.42,2.29,2.44,2.25,2.49,2.44,2.3,2.42,2.55,2.5,2.46,2.65,2.46,2.4,2.69,2.6,2.73,2.66,2.57,2.66,2.68,2.57,2.77,2.65,2.71,2.67,2.69,2.87,2.83,2.9,2.82,2.75,2.9,2.78,2.94,2.88,2.89,3.07,3.1,3.03,3.02,3.16,3.18,3.16,3.29,3.21,3.21,3.23,3.24,3.22,3.28,3.32,3.3,3.16,3.55,3.45,3.6,3.6,3.57,3.57,3.6,3.7,3.54,3.61,3.77,3.56,3.63,3.56],"text":["Age: 94 ex_fr_female$Type: Observed Year: 1816 Ex: 3.100000","Age: 94 ex_fr_female$Type: Observed Year: 1817 Ex: 2.860000","Age: 94 ex_fr_female$Type: Observed Year: 1818 Ex: 2.940000","Age: 94 ex_fr_female$Type: Observed Year: 1819 Ex: 3.060000","Age: 94 ex_fr_female$Type: Observed Year: 1820 Ex: 2.870000","Age: 94 ex_fr_female$Type: Observed Year: 1821 Ex: 3.190000","Age: 94 ex_fr_female$Type: Observed Year: 1822 Ex: 2.930000","Age: 94 ex_fr_female$Type: Observed Year: 1823 Ex: 2.800000","Age: 94 ex_fr_female$Type: Observed Year: 1824 Ex: 3.160000","Age: 94 ex_fr_female$Type: Observed Year: 1825 Ex: 2.940000","Age: 94 ex_fr_female$Type: Observed Year: 1826 Ex: 2.750000","Age: 94 ex_fr_female$Type: Observed Year: 1827 Ex: 3.130000","Age: 94 ex_fr_female$Type: Observed Year: 1828 Ex: 3.080000","Age: 94 ex_fr_female$Type: Observed Year: 1829 Ex: 2.790000","Age: 94 ex_fr_female$Type: Observed Year: 1830 Ex: 2.930000","Age: 94 ex_fr_female$Type: Observed Year: 1831 Ex: 2.740000","Age: 94 ex_fr_female$Type: Observed Year: 1832 Ex: 2.770000","Age: 94 ex_fr_female$Type: Observed Year: 1833 Ex: 3.020000","Age: 94 ex_fr_female$Type: Observed Year: 1834 Ex: 2.870000","Age: 94 ex_fr_female$Type: Observed Year: 1835 Ex: 2.850000","Age: 94 ex_fr_female$Type: Observed Year: 1836 Ex: 2.920000","Age: 94 ex_fr_female$Type: Observed Year: 1837 Ex: 2.590000","Age: 94 ex_fr_female$Type: Observed Year: 1838 Ex: 2.920000","Age: 94 ex_fr_female$Type: Observed Year: 1839 Ex: 3.090000","Age: 94 ex_fr_female$Type: Observed Year: 1840 Ex: 2.800000","Age: 94 ex_fr_female$Type: Observed Year: 1841 Ex: 2.820000","Age: 94 ex_fr_female$Type: Observed Year: 1842 Ex: 2.740000","Age: 94 ex_fr_female$Type: Observed Year: 1843 Ex: 2.840000","Age: 94 ex_fr_female$Type: Observed Year: 1844 Ex: 2.790000","Age: 94 ex_fr_female$Type: Observed Year: 1845 Ex: 2.930000","Age: 94 ex_fr_female$Type: Observed Year: 1846 Ex: 2.580000","Age: 94 ex_fr_female$Type: Observed Year: 1847 Ex: 2.470000","Age: 94 ex_fr_female$Type: Observed Year: 1848 Ex: 2.560000","Age: 94 ex_fr_female$Type: Observed Year: 1849 Ex: 2.570000","Age: 94 ex_fr_female$Type: Observed Year: 1850 Ex: 2.750000","Age: 94 ex_fr_female$Type: Observed Year: 1851 Ex: 2.550000","Age: 94 ex_fr_female$Type: Observed Year: 1852 Ex: 2.610000","Age: 94 ex_fr_female$Type: Observed Year: 1853 Ex: 2.410000","Age: 94 ex_fr_female$Type: Observed Year: 1854 Ex: 2.320000","Age: 94 ex_fr_female$Type: Observed Year: 1855 Ex: 2.080000","Age: 94 ex_fr_female$Type: Observed Year: 1856 Ex: 2.430000","Age: 94 ex_fr_female$Type: Observed Year: 1857 Ex: 2.380000","Age: 94 ex_fr_female$Type: Observed Year: 1858 Ex: 2.320000","Age: 94 ex_fr_female$Type: Observed Year: 1859 Ex: 2.390000","Age: 94 ex_fr_female$Type: Observed Year: 1860 Ex: 2.470000","Age: 94 ex_fr_female$Type: Observed Year: 1861 Ex: 2.500000","Age: 94 ex_fr_female$Type: Observed Year: 1862 Ex: 2.590000","Age: 94 ex_fr_female$Type: Observed Year: 1863 Ex: 2.540000","Age: 94 ex_fr_female$Type: Observed Year: 1864 Ex: 2.450000","Age: 94 ex_fr_female$Type: Observed Year: 1865 Ex: 2.250000","Age: 94 ex_fr_female$Type: Observed Year: 1866 Ex: 2.460000","Age: 94 ex_fr_female$Type: Observed Year: 1867 Ex: 2.400000","Age: 94 ex_fr_female$Type: Observed Year: 1868 Ex: 2.330000","Age: 94 ex_fr_female$Type: Observed Year: 1869 Ex: 2.370000","Age: 94 ex_fr_female$Type: Observed Year: 1870 Ex: 2.190000","Age: 94 ex_fr_female$Type: Observed Year: 1871 Ex: 2.050000","Age: 94 ex_fr_female$Type: Observed Year: 1872 Ex: 2.500000","Age: 94 ex_fr_female$Type: Observed Year: 1873 Ex: 2.350000","Age: 94 ex_fr_female$Type: Observed Year: 1874 Ex: 2.420000","Age: 94 ex_fr_female$Type: Observed Year: 1875 Ex: 2.270000","Age: 94 ex_fr_female$Type: Observed Year: 1876 Ex: 2.290000","Age: 94 ex_fr_female$Type: Observed Year: 1877 Ex: 2.250000","Age: 94 ex_fr_female$Type: Observed Year: 1878 Ex: 2.300000","Age: 94 ex_fr_female$Type: Observed Year: 1879 Ex: 2.090000","Age: 94 ex_fr_female$Type: Observed Year: 1880 Ex: 2.340000","Age: 94 ex_fr_female$Type: Observed Year: 1881 Ex: 2.560000","Age: 94 ex_fr_female$Type: Observed Year: 1882 Ex: 2.450000","Age: 94 ex_fr_female$Type: Observed Year: 1883 Ex: 2.270000","Age: 94 ex_fr_female$Type: Observed Year: 1884 Ex: 2.370000","Age: 94 ex_fr_female$Type: Observed Year: 1885 Ex: 2.210000","Age: 94 ex_fr_female$Type: Observed Year: 1886 Ex: 2.230000","Age: 94 ex_fr_female$Type: Observed Year: 1887 Ex: 2.340000","Age: 94 ex_fr_female$Type: Observed Year: 1888 Ex: 2.230000","Age: 94 ex_fr_female$Type: Observed Year: 1889 Ex: 2.410000","Age: 94 ex_fr_female$Type: Observed Year: 1890 Ex: 2.220000","Age: 94 ex_fr_female$Type: Observed Year: 1891 Ex: 1.990000","Age: 94 ex_fr_female$Type: Observed Year: 1892 Ex: 2.090000","Age: 94 ex_fr_female$Type: Observed Year: 1893 Ex: 2.130000","Age: 94 ex_fr_female$Type: Observed Year: 1894 Ex: 2.090000","Age: 94 ex_fr_female$Type: Observed Year: 1895 Ex: 1.940000","Age: 94 ex_fr_female$Type: Observed Year: 1896 Ex: 2.250000","Age: 94 ex_fr_female$Type: Observed Year: 1897 Ex: 2.420000","Age: 94 ex_fr_female$Type: Observed Year: 1898 Ex: 2.220000","Age: 94 ex_fr_female$Type: Observed Year: 1899 Ex: 2.080000","Age: 94 ex_fr_female$Type: Observed Year: 1900 Ex: 2.060000","Age: 94 ex_fr_female$Type: Observed Year: 1901 Ex: 2.170000","Age: 94 ex_fr_female$Type: Observed Year: 1902 Ex: 2.190000","Age: 94 ex_fr_female$Type: Observed Year: 1903 Ex: 2.410000","Age: 94 ex_fr_female$Type: Observed Year: 1904 Ex: 2.180000","Age: 94 ex_fr_female$Type: Observed Year: 1905 Ex: 1.810000","Age: 94 ex_fr_female$Type: Observed Year: 1906 Ex: 2.040000","Age: 94 ex_fr_female$Type: Observed Year: 1907 Ex: 2.190000","Age: 94 ex_fr_female$Type: Observed Year: 1908 Ex: 2.220000","Age: 94 ex_fr_female$Type: Observed Year: 1909 Ex: 2.130000","Age: 94 ex_fr_female$Type: Observed Year: 1910 Ex: 2.250000","Age: 94 ex_fr_female$Type: Observed Year: 1911 Ex: 2.000000","Age: 94 ex_fr_female$Type: Observed Year: 1912 Ex: 2.380000","Age: 94 ex_fr_female$Type: Observed Year: 1913 Ex: 2.350000","Age: 94 ex_fr_female$Type: Observed Year: 1914 Ex: 1.970000","Age: 94 ex_fr_female$Type: Observed Year: 1915 Ex: 2.140000","Age: 94 ex_fr_female$Type: Observed Year: 1916 Ex: 2.020000","Age: 94 ex_fr_female$Type: Observed Year: 1917 Ex: 1.970000","Age: 94 ex_fr_female$Type: Observed Year: 1918 Ex: 2.050000","Age: 94 ex_fr_female$Type: Observed Year: 1919 Ex: 1.980000","Age: 94 ex_fr_female$Type: Observed Year: 1920 Ex: 2.300000","Age: 94 ex_fr_female$Type: Observed Year: 1921 Ex: 2.220000","Age: 94 ex_fr_female$Type: Observed Year: 1922 Ex: 2.100000","Age: 94 ex_fr_female$Type: Observed Year: 1923 Ex: 2.220000","Age: 94 ex_fr_female$Type: Observed Year: 1924 Ex: 2.170000","Age: 94 ex_fr_female$Type: Observed Year: 1925 Ex: 2.070000","Age: 94 ex_fr_female$Type: Observed Year: 1926 Ex: 2.120000","Age: 94 ex_fr_female$Type: Observed Year: 1927 Ex: 2.110000","Age: 94 ex_fr_female$Type: Observed Year: 1928 Ex: 2.210000","Age: 94 ex_fr_female$Type: Observed Year: 1929 Ex: 1.930000","Age: 94 ex_fr_female$Type: Observed Year: 1930 Ex: 2.410000","Age: 94 ex_fr_female$Type: Observed Year: 1931 Ex: 2.120000","Age: 94 ex_fr_female$Type: Observed Year: 1932 Ex: 2.180000","Age: 94 ex_fr_female$Type: Observed Year: 1933 Ex: 2.100000","Age: 94 ex_fr_female$Type: Observed Year: 1934 Ex: 2.350000","Age: 94 ex_fr_female$Type: Observed Year: 1935 Ex: 2.220000","Age: 94 ex_fr_female$Type: Observed Year: 1936 Ex: 2.330000","Age: 94 ex_fr_female$Type: Observed Year: 1937 Ex: 2.320000","Age: 94 ex_fr_female$Type: Observed Year: 1938 Ex: 2.280000","Age: 94 ex_fr_female$Type: Observed Year: 1939 Ex: 2.130000","Age: 94 ex_fr_female$Type: Observed Year: 1940 Ex: 1.710000","Age: 94 ex_fr_female$Type: Observed Year: 1941 Ex: 2.030000","Age: 94 ex_fr_female$Type: Observed Year: 1942 Ex: 1.990000","Age: 94 ex_fr_female$Type: Observed Year: 1943 Ex: 2.100000","Age: 94 ex_fr_female$Type: Observed Year: 1944 Ex: 1.910000","Age: 94 ex_fr_female$Type: Observed Year: 1945 Ex: 2.120000","Age: 94 ex_fr_female$Type: Observed Year: 1946 Ex: 2.380000","Age: 94 ex_fr_female$Type: Observed Year: 1947 Ex: 2.490000","Age: 94 ex_fr_female$Type: Observed Year: 1948 Ex: 2.720000","Age: 94 ex_fr_female$Type: Observed Year: 1949 Ex: 2.240000","Age: 94 ex_fr_female$Type: Observed Year: 1950 Ex: 2.420000","Age: 94 ex_fr_female$Type: Observed Year: 1951 Ex: 2.290000","Age: 94 ex_fr_female$Type: Observed Year: 1952 Ex: 2.440000","Age: 94 ex_fr_female$Type: Observed Year: 1953 Ex: 2.250000","Age: 94 ex_fr_female$Type: Observed Year: 1954 Ex: 2.490000","Age: 94 ex_fr_female$Type: Observed Year: 1955 Ex: 2.440000","Age: 94 ex_fr_female$Type: Observed Year: 1956 Ex: 2.300000","Age: 94 ex_fr_female$Type: Observed Year: 1957 Ex: 2.420000","Age: 94 ex_fr_female$Type: Observed Year: 1958 Ex: 2.550000","Age: 94 ex_fr_female$Type: Observed Year: 1959 Ex: 2.500000","Age: 94 ex_fr_female$Type: Observed Year: 1960 Ex: 2.460000","Age: 94 ex_fr_female$Type: Observed Year: 1961 Ex: 2.650000","Age: 94 ex_fr_female$Type: Observed Year: 1962 Ex: 2.460000","Age: 94 ex_fr_female$Type: Observed Year: 1963 Ex: 2.400000","Age: 94 ex_fr_female$Type: Observed Year: 1964 Ex: 2.690000","Age: 94 ex_fr_female$Type: Observed Year: 1965 Ex: 2.600000","Age: 94 ex_fr_female$Type: Observed Year: 1966 Ex: 2.730000","Age: 94 ex_fr_female$Type: Observed Year: 1967 Ex: 2.660000","Age: 94 ex_fr_female$Type: Observed Year: 1968 Ex: 2.570000","Age: 94 ex_fr_female$Type: Observed Year: 1969 Ex: 2.660000","Age: 94 ex_fr_female$Type: Observed Year: 1970 Ex: 2.680000","Age: 94 ex_fr_female$Type: Observed Year: 1971 Ex: 2.570000","Age: 94 ex_fr_female$Type: Observed Year: 1972 Ex: 2.770000","Age: 94 ex_fr_female$Type: Observed Year: 1973 Ex: 2.650000","Age: 94 ex_fr_female$Type: Observed Year: 1974 Ex: 2.710000","Age: 94 ex_fr_female$Type: Observed Year: 1975 Ex: 2.670000","Age: 94 ex_fr_female$Type: Observed Year: 1976 Ex: 2.690000","Age: 94 ex_fr_female$Type: Observed Year: 1977 Ex: 2.870000","Age: 94 ex_fr_female$Type: Observed Year: 1978 Ex: 2.830000","Age: 94 ex_fr_female$Type: Observed Year: 1979 Ex: 2.900000","Age: 94 ex_fr_female$Type: Observed Year: 1980 Ex: 2.820000","Age: 94 ex_fr_female$Type: Observed Year: 1981 Ex: 2.750000","Age: 94 ex_fr_female$Type: Observed Year: 1982 Ex: 2.900000","Age: 94 ex_fr_female$Type: Observed Year: 1983 Ex: 2.780000","Age: 94 ex_fr_female$Type: Observed Year: 1984 Ex: 2.940000","Age: 94 ex_fr_female$Type: Observed Year: 1985 Ex: 2.880000","Age: 94 ex_fr_female$Type: Observed Year: 1986 Ex: 2.890000","Age: 94 ex_fr_female$Type: Observed Year: 1987 Ex: 3.070000","Age: 94 ex_fr_female$Type: Observed Year: 1988 Ex: 3.100000","Age: 94 ex_fr_female$Type: Observed Year: 1989 Ex: 3.030000","Age: 94 ex_fr_female$Type: Observed Year: 1990 Ex: 3.020000","Age: 94 ex_fr_female$Type: Observed Year: 1991 Ex: 3.160000","Age: 94 ex_fr_female$Type: Observed Year: 1992 Ex: 3.180000","Age: 94 ex_fr_female$Type: Observed Year: 1993 Ex: 3.160000","Age: 94 ex_fr_female$Type: Observed Year: 1994 Ex: 3.290000","Age: 94 ex_fr_female$Type: Observed Year: 1995 Ex: 3.210000","Age: 94 ex_fr_female$Type: Observed Year: 1996 Ex: 3.210000","Age: 94 ex_fr_female$Type: Observed Year: 1997 Ex: 3.230000","Age: 94 ex_fr_female$Type: Observed Year: 1998 Ex: 3.240000","Age: 94 ex_fr_female$Type: Observed Year: 1999 Ex: 3.220000","Age: 94 ex_fr_female$Type: Observed Year: 2000 Ex: 3.280000","Age: 94 ex_fr_female$Type: Observed Year: 2001 Ex: 3.320000","Age: 94 ex_fr_female$Type: Observed Year: 2002 Ex: 3.300000","Age: 94 ex_fr_female$Type: Observed Year: 2003 Ex: 3.160000","Age: 94 ex_fr_female$Type: Observed Year: 2004 Ex: 3.550000","Age: 94 ex_fr_female$Type: Observed Year: 2005 Ex: 3.450000","Age: 94 ex_fr_female$Type: Observed Year: 2006 Ex: 3.600000","Age: 94 ex_fr_female$Type: Observed Year: 2007 Ex: 3.600000","Age: 94 ex_fr_female$Type: Observed Year: 2008 Ex: 3.570000","Age: 94 ex_fr_female$Type: Observed Year: 2009 Ex: 3.570000","Age: 94 ex_fr_female$Type: Observed Year: 2010 Ex: 3.600000","Age: 94 ex_fr_female$Type: Observed Year: 2011 Ex: 3.700000","Age: 94 ex_fr_female$Type: Observed Year: 2012 Ex: 3.540000","Age: 94 ex_fr_female$Type: Observed Year: 2013 Ex: 3.610000","Age: 94 ex_fr_female$Type: Observed Year: 2014 Ex: 3.770000","Age: 94 ex_fr_female$Type: Observed Year: 2015 Ex: 3.560000","Age: 94 ex_fr_female$Type: Observed Year: 2016 Ex: 3.630000","Age: 94 ex_fr_female$Type: Observed Year: 2017 Ex: 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94 ex_fr_female$Type: Predicted Year: 1816 Ex: 3.559202","Age: 94 ex_fr_female$Type: Predicted Year: 1817 Ex: 3.324519","Age: 94 ex_fr_female$Type: Predicted Year: 1818 Ex: 3.398438","Age: 94 ex_fr_female$Type: Predicted Year: 1819 Ex: 3.507483","Age: 94 ex_fr_female$Type: Predicted Year: 1820 Ex: 3.327520","Age: 94 ex_fr_female$Type: Predicted Year: 1821 Ex: 3.649764","Age: 94 ex_fr_female$Type: Predicted Year: 1822 Ex: 3.374197","Age: 94 ex_fr_female$Type: Predicted Year: 1823 Ex: 3.258894","Age: 94 ex_fr_female$Type: Predicted Year: 1824 Ex: 3.622092","Age: 94 ex_fr_female$Type: Predicted Year: 1825 Ex: 3.394067","Age: 94 ex_fr_female$Type: Predicted Year: 1826 Ex: 3.208319","Age: 94 ex_fr_female$Type: Predicted Year: 1827 Ex: 3.586409","Age: 94 ex_fr_female$Type: Predicted Year: 1828 Ex: 3.529959","Age: 94 ex_fr_female$Type: Predicted Year: 1829 Ex: 3.245533","Age: 94 ex_fr_female$Type: Predicted Year: 1830 Ex: 3.383057","Age: 94 ex_fr_female$Type: Predicted Year: 1831 Ex: 3.194259","Age: 94 ex_fr_female$Type: Predicted Year: 1832 Ex: 3.223593","Age: 94 ex_fr_female$Type: Predicted Year: 1833 Ex: 3.472226","Age: 94 ex_fr_female$Type: Predicted Year: 1834 Ex: 3.324495","Age: 94 ex_fr_female$Type: Predicted Year: 1835 Ex: 3.301524","Age: 94 ex_fr_female$Type: Predicted Year: 1836 Ex: 3.374872","Age: 94 ex_fr_female$Type: Predicted Year: 1837 Ex: 3.050582","Age: 94 ex_fr_female$Type: Predicted Year: 1838 Ex: 3.366502","Age: 94 ex_fr_female$Type: Predicted Year: 1839 Ex: 3.538700","Age: 94 ex_fr_female$Type: Predicted Year: 1840 Ex: 3.246193","Age: 94 ex_fr_female$Type: Predicted Year: 1841 Ex: 3.270828","Age: 94 ex_fr_female$Type: Predicted Year: 1842 Ex: 3.198544","Age: 94 ex_fr_female$Type: Predicted Year: 1843 Ex: 3.291972","Age: 94 ex_fr_female$Type: Predicted Year: 1844 Ex: 3.239366","Age: 94 ex_fr_female$Type: Predicted Year: 1845 Ex: 3.376111","Age: 94 ex_fr_female$Type: Predicted Year: 1846 Ex: 3.028662","Age: 94 ex_fr_female$Type: Predicted Year: 1847 Ex: 2.913561","Age: 94 ex_fr_female$Type: Predicted Year: 1848 Ex: 3.017103","Age: 94 ex_fr_female$Type: Predicted Year: 1849 Ex: 3.021089","Age: 94 ex_fr_female$Type: Predicted Year: 1850 Ex: 3.199065","Age: 94 ex_fr_female$Type: Predicted Year: 1851 Ex: 2.996823","Age: 94 ex_fr_female$Type: Predicted Year: 1852 Ex: 3.058360","Age: 94 ex_fr_female$Type: Predicted Year: 1853 Ex: 2.856011","Age: 94 ex_fr_female$Type: Predicted Year: 1854 Ex: 2.768672","Age: 94 ex_fr_female$Type: Predicted Year: 1855 Ex: 2.538947","Age: 94 ex_fr_female$Type: Predicted Year: 1856 Ex: 2.864594","Age: 94 ex_fr_female$Type: Predicted Year: 1857 Ex: 2.823357","Age: 94 ex_fr_female$Type: Predicted Year: 1858 Ex: 2.762504","Age: 94 ex_fr_female$Type: Predicted Year: 1859 Ex: 2.832508","Age: 94 ex_fr_female$Type: Predicted Year: 1860 Ex: 2.918133","Age: 94 ex_fr_female$Type: Predicted Year: 1861 Ex: 2.939122","Age: 94 ex_fr_female$Type: Predicted Year: 1862 Ex: 3.025233","Age: 94 ex_fr_female$Type: Predicted Year: 1863 Ex: 2.974769","Age: 94 ex_fr_female$Type: Predicted Year: 1864 Ex: 2.895012","Age: 94 ex_fr_female$Type: Predicted Year: 1865 Ex: 2.705676","Age: 94 ex_fr_female$Type: Predicted Year: 1866 Ex: 2.900944","Age: 94 ex_fr_female$Type: Predicted Year: 1867 Ex: 2.842600","Age: 94 ex_fr_female$Type: Predicted Year: 1868 Ex: 2.780882","Age: 94 ex_fr_female$Type: Predicted Year: 1869 Ex: 2.819295","Age: 94 ex_fr_female$Type: Predicted Year: 1870 Ex: 2.636889","Age: 94 ex_fr_female$Type: Predicted Year: 1871 Ex: 2.500532","Age: 94 ex_fr_female$Type: Predicted Year: 1872 Ex: 2.951802","Age: 94 ex_fr_female$Type: Predicted Year: 1873 Ex: 2.792792","Age: 94 ex_fr_female$Type: Predicted Year: 1874 Ex: 2.862858","Age: 94 ex_fr_female$Type: Predicted Year: 1875 Ex: 2.718669","Age: 94 ex_fr_female$Type: Predicted Year: 1876 Ex: 2.739345","Age: 94 ex_fr_female$Type: Predicted Year: 1877 Ex: 2.704917","Age: 94 ex_fr_female$Type: Predicted Year: 1878 Ex: 2.738808","Age: 94 ex_fr_female$Type: Predicted Year: 1879 Ex: 2.540343","Age: 94 ex_fr_female$Type: Predicted Year: 1880 Ex: 2.794553","Age: 94 ex_fr_female$Type: Predicted Year: 1881 Ex: 3.001084","Age: 94 ex_fr_female$Type: Predicted Year: 1882 Ex: 2.899874","Age: 94 ex_fr_female$Type: Predicted Year: 1883 Ex: 2.722862","Age: 94 ex_fr_female$Type: Predicted Year: 1884 Ex: 2.822197","Age: 94 ex_fr_female$Type: Predicted Year: 1885 Ex: 2.663899","Age: 94 ex_fr_female$Type: Predicted Year: 1886 Ex: 2.681291","Age: 94 ex_fr_female$Type: Predicted Year: 1887 Ex: 2.780955","Age: 94 ex_fr_female$Type: Predicted Year: 1888 Ex: 2.677111","Age: 94 ex_fr_female$Type: Predicted Year: 1889 Ex: 2.857638","Age: 94 ex_fr_female$Type: Predicted Year: 1890 Ex: 2.672578","Age: 94 ex_fr_female$Type: Predicted Year: 1891 Ex: 2.456748","Age: 94 ex_fr_female$Type: Predicted Year: 1892 Ex: 2.540054","Age: 94 ex_fr_female$Type: Predicted Year: 1893 Ex: 2.573614","Age: 94 ex_fr_female$Type: Predicted Year: 1894 Ex: 2.544960","Age: 94 ex_fr_female$Type: Predicted Year: 1895 Ex: 2.398689","Age: 94 ex_fr_female$Type: Predicted Year: 1896 Ex: 2.698591","Age: 94 ex_fr_female$Type: Predicted Year: 1897 Ex: 2.868920","Age: 94 ex_fr_female$Type: Predicted Year: 1898 Ex: 2.674492","Age: 94 ex_fr_female$Type: Predicted Year: 1899 Ex: 2.535531","Age: 94 ex_fr_female$Type: Predicted Year: 1900 Ex: 2.522688","Age: 94 ex_fr_female$Type: Predicted Year: 1901 Ex: 2.625100","Age: 94 ex_fr_female$Type: Predicted Year: 1902 Ex: 2.651634","Age: 94 ex_fr_female$Type: Predicted Year: 1903 Ex: 2.839113","Age: 94 ex_fr_female$Type: Predicted Year: 1904 Ex: 2.627926","Age: 94 ex_fr_female$Type: Predicted Year: 1905 Ex: 2.311511","Age: 94 ex_fr_female$Type: Predicted Year: 1906 Ex: 2.496685","Age: 94 ex_fr_female$Type: Predicted Year: 1907 Ex: 2.630312","Age: 94 ex_fr_female$Type: Predicted Year: 1908 Ex: 2.672119","Age: 94 ex_fr_female$Type: Predicted Year: 1909 Ex: 2.586083","Age: 94 ex_fr_female$Type: Predicted Year: 1910 Ex: 2.696726","Age: 94 ex_fr_female$Type: Predicted Year: 1911 Ex: 2.451233","Age: 94 ex_fr_female$Type: Predicted Year: 1912 Ex: 2.820883","Age: 94 ex_fr_female$Type: Predicted Year: 1913 Ex: 2.790969","Age: 94 ex_fr_female$Type: Predicted Year: 1914 Ex: 2.432421","Age: 94 ex_fr_female$Type: Predicted Year: 1915 Ex: 2.590823","Age: 94 ex_fr_female$Type: Predicted Year: 1916 Ex: 2.481392","Age: 94 ex_fr_female$Type: Predicted Year: 1917 Ex: 2.429242","Age: 94 ex_fr_female$Type: Predicted Year: 1918 Ex: 2.502720","Age: 94 ex_fr_female$Type: Predicted Year: 1919 Ex: 2.436817","Age: 94 ex_fr_female$Type: Predicted Year: 1920 Ex: 2.745722","Age: 94 ex_fr_female$Type: Predicted Year: 1921 Ex: 2.665716","Age: 94 ex_fr_female$Type: Predicted Year: 1922 Ex: 2.550211","Age: 94 ex_fr_female$Type: Predicted Year: 1923 Ex: 2.675577","Age: 94 ex_fr_female$Type: Predicted Year: 1924 Ex: 2.630898","Age: 94 ex_fr_female$Type: Predicted Year: 1925 Ex: 2.524936","Age: 94 ex_fr_female$Type: Predicted Year: 1926 Ex: 2.575430","Age: 94 ex_fr_female$Type: Predicted Year: 1927 Ex: 2.563279","Age: 94 ex_fr_female$Type: Predicted Year: 1928 Ex: 2.658071","Age: 94 ex_fr_female$Type: Predicted Year: 1929 Ex: 2.392632","Age: 94 ex_fr_female$Type: Predicted Year: 1930 Ex: 2.856782","Age: 94 ex_fr_female$Type: Predicted Year: 1931 Ex: 2.569512","Age: 94 ex_fr_female$Type: Predicted Year: 1932 Ex: 2.634258","Age: 94 ex_fr_female$Type: Predicted Year: 1933 Ex: 2.556079","Age: 94 ex_fr_female$Type: Predicted Year: 1934 Ex: 2.799016","Age: 94 ex_fr_female$Type: Predicted Year: 1935 Ex: 2.666225","Age: 94 ex_fr_female$Type: Predicted Year: 1936 Ex: 2.770717","Age: 94 ex_fr_female$Type: Predicted Year: 1937 Ex: 2.764425","Age: 94 ex_fr_female$Type: Predicted Year: 1938 Ex: 2.720958","Age: 94 ex_fr_female$Type: Predicted Year: 1939 Ex: 2.592536","Age: 94 ex_fr_female$Type: Predicted Year: 1940 Ex: 2.177462","Age: 94 ex_fr_female$Type: Predicted Year: 1941 Ex: 2.479172","Age: 94 ex_fr_female$Type: Predicted Year: 1942 Ex: 2.446117","Age: 94 ex_fr_female$Type: Predicted Year: 1943 Ex: 2.548628","Age: 94 ex_fr_female$Type: Predicted Year: 1944 Ex: 2.363371","Age: 94 ex_fr_female$Type: Predicted Year: 1945 Ex: 2.567902","Age: 94 ex_fr_female$Type: Predicted Year: 1946 Ex: 2.827292","Age: 94 ex_fr_female$Type: Predicted Year: 1947 Ex: 2.933069","Age: 94 ex_fr_female$Type: Predicted Year: 1948 Ex: 3.159641","Age: 94 ex_fr_female$Type: Predicted Year: 1949 Ex: 2.692849","Age: 94 ex_fr_female$Type: Predicted Year: 1950 Ex: 2.869498","Age: 94 ex_fr_female$Type: Predicted Year: 1951 Ex: 2.726238","Age: 94 ex_fr_female$Type: Predicted Year: 1952 Ex: 2.886608","Age: 94 ex_fr_female$Type: Predicted Year: 1953 Ex: 2.691916","Age: 94 ex_fr_female$Type: Predicted Year: 1954 Ex: 2.928562","Age: 94 ex_fr_female$Type: Predicted Year: 1955 Ex: 2.884349","Age: 94 ex_fr_female$Type: Predicted Year: 1956 Ex: 2.741463","Age: 94 ex_fr_female$Type: Predicted Year: 1957 Ex: 2.860054","Age: 94 ex_fr_female$Type: Predicted Year: 1958 Ex: 2.989832","Age: 94 ex_fr_female$Type: Predicted Year: 1959 Ex: 2.939619","Age: 94 ex_fr_female$Type: Predicted Year: 1960 Ex: 2.897928","Age: 94 ex_fr_female$Type: Predicted Year: 1961 Ex: 3.080855","Age: 94 ex_fr_female$Type: Predicted Year: 1962 Ex: 2.894261","Age: 94 ex_fr_female$Type: Predicted Year: 1963 Ex: 2.840125","Age: 94 ex_fr_female$Type: Predicted Year: 1964 Ex: 3.118440","Age: 94 ex_fr_female$Type: Predicted Year: 1965 Ex: 3.033141","Age: 94 ex_fr_female$Type: Predicted Year: 1966 Ex: 3.162316","Age: 94 ex_fr_female$Type: Predicted Year: 1967 Ex: 3.087119","Age: 94 ex_fr_female$Type: Predicted Year: 1968 Ex: 3.005232","Age: 94 ex_fr_female$Type: Predicted Year: 1969 Ex: 3.094507","Age: 94 ex_fr_female$Type: Predicted Year: 1970 Ex: 3.109647","Age: 94 ex_fr_female$Type: Predicted Year: 1971 Ex: 3.009719","Age: 94 ex_fr_female$Type: Predicted Year: 1972 Ex: 3.195776","Age: 94 ex_fr_female$Type: Predicted Year: 1973 Ex: 3.082630","Age: 94 ex_fr_female$Type: Predicted Year: 1974 Ex: 3.137743","Age: 94 ex_fr_female$Type: Predicted Year: 1975 Ex: 3.105601","Age: 94 ex_fr_female$Type: Predicted Year: 1976 Ex: 3.118608","Age: 94 ex_fr_female$Type: Predicted Year: 1977 Ex: 3.291596","Age: 94 ex_fr_female$Type: Predicted Year: 1978 Ex: 3.254903","Age: 94 ex_fr_female$Type: Predicted Year: 1979 Ex: 3.321751","Age: 94 ex_fr_female$Type: Predicted Year: 1980 Ex: 3.242467","Age: 94 ex_fr_female$Type: Predicted Year: 1981 Ex: 3.180279","Age: 94 ex_fr_female$Type: Predicted Year: 1982 Ex: 3.326743","Age: 94 ex_fr_female$Type: Predicted Year: 1983 Ex: 3.205240","Age: 94 ex_fr_female$Type: Predicted Year: 1984 Ex: 3.363112","Age: 94 ex_fr_female$Type: Predicted Year: 1985 Ex: 3.299889","Age: 94 ex_fr_female$Type: Predicted Year: 1986 Ex: 3.317372","Age: 94 ex_fr_female$Type: Predicted Year: 1987 Ex: 3.489426","Age: 94 ex_fr_female$Type: Predicted Year: 1988 Ex: 3.519191","Age: 94 ex_fr_female$Type: Predicted Year: 1989 Ex: 3.443094","Age: 94 ex_fr_female$Type: Predicted Year: 1990 Ex: 3.441274","Age: 94 ex_fr_female$Type: Predicted Year: 1991 Ex: 3.568827","Age: 94 ex_fr_female$Type: Predicted Year: 1992 Ex: 3.593189","Age: 94 ex_fr_female$Type: Predicted Year: 1993 Ex: 3.568365","Age: 94 ex_fr_female$Type: Predicted Year: 1994 Ex: 3.701549","Age: 94 ex_fr_female$Type: Predicted Year: 1995 Ex: 3.623601","Age: 94 ex_fr_female$Type: Predicted Year: 1996 Ex: 3.615745","Age: 94 ex_fr_female$Type: Predicted Year: 1997 Ex: 3.643326","Age: 94 ex_fr_female$Type: Predicted Year: 1998 Ex: 3.644450","Age: 94 ex_fr_female$Type: Predicted Year: 1999 Ex: 3.627874","Age: 94 ex_fr_female$Type: Predicted Year: 2000 Ex: 3.684912","Age: 94 ex_fr_female$Type: Predicted Year: 2001 Ex: 3.725312","Age: 94 ex_fr_female$Type: Predicted Year: 2002 Ex: 3.706085","Age: 94 ex_fr_female$Type: Predicted Year: 2003 Ex: 3.569763","Age: 94 ex_fr_female$Type: Predicted Year: 2004 Ex: 3.946587","Age: 94 ex_fr_female$Type: Predicted Year: 2005 Ex: 3.849260","Age: 94 ex_fr_female$Type: Predicted Year: 2006 Ex: 3.999674","Age: 94 ex_fr_female$Type: Predicted Year: 2007 Ex: 3.999655","Age: 94 ex_fr_female$Type: Predicted Year: 2008 Ex: 3.969221","Age: 94 ex_fr_female$Type: Predicted Year: 2009 Ex: 3.970330","Age: 94 ex_fr_female$Type: Predicted Year: 2010 Ex: 4.000531","Age: 94 ex_fr_female$Type: Predicted Year: 2011 Ex: 4.094211","Age: 94 ex_fr_female$Type: Predicted Year: 2012 Ex: 3.933643","Age: 94 ex_fr_female$Type: Predicted Year: 2013 Ex: 4.003183","Age: 94 ex_fr_female$Type: Predicted Year: 2014 Ex: 4.163154","Age: 94 ex_fr_female$Type: Predicted Year: 2015 Ex: 3.949140","Age: 94 ex_fr_female$Type: Predicted Year: 2016 Ex: 4.026575","Age: 94 ex_fr_female$Type: Predicted Year: 2017 Ex: 3.948286"],"frame":"94","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"95","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[3.03,2.82,2.85,2.91,2.79,3.09,2.77,2.73,3.13,2.85,2.64,3.04,2.94,2.68,2.82,2.65,2.64,2.88,2.77,2.72,2.78,2.47,2.75,2.96,2.57,2.69,2.63,2.66,2.66,2.78,2.43,2.28,2.45,2.44,2.59,2.38,2.44,2.2,2.15,1.96,2.16,2.14,2.08,2.15,2.32,2.27,2.3,2.3,2.23,2.15,2.26,2.2,2.17,2.2,2.01,1.87,2.39,2.13,2.23,2.12,2.13,2.12,2.08,1.94,2.2,2.37,2.3,2.12,2.23,2.11,2.08,2.13,2.09,2.24,2.07,1.92,1.94,1.94,1.96,1.83,2.08,2.29,2.09,1.97,1.96,2.06,2.1,2.1,2.02,1.93,1.93,1.98,2.1,2,2.11,1.87,2.18,2.17,1.92,2.02,1.96,1.85,1.93,1.85,2.14,2.06,1.97,2.12,2.12,1.96,2.03,2.01,2.03,1.84,2.29,1.98,2.06,2,2.25,2.08,2.16,2.18,2.12,2.07,1.65,1.9,1.9,1.97,1.79,1.99,2.27,2.35,2.54,2.14,2.32,2.1,2.31,2.1,2.35,2.29,2.15,2.26,2.38,2.38,2.3,2.47,2.29,2.25,2.5,2.41,2.52,2.46,2.42,2.48,2.51,2.43,2.57,2.5,2.52,2.51,2.51,2.66,2.64,2.69,2.62,2.59,2.71,2.59,2.73,2.67,2.7,2.85,2.87,2.81,2.83,2.91,2.95,2.91,3.04,2.97,2.96,2.99,2.99,2.99,3.04,3.06,3.05,2.91,3.28,3.17,3.32,3.34,3.29,3.29,3.34,3.41,3.24,3.31,3.47,3.26,3.34,3.27],"text":["Age: 95 ex_fr_female$Type: Observed Year: 1816 Ex: 3.030000","Age: 95 ex_fr_female$Type: Observed Year: 1817 Ex: 2.820000","Age: 95 ex_fr_female$Type: Observed Year: 1818 Ex: 2.850000","Age: 95 ex_fr_female$Type: Observed Year: 1819 Ex: 2.910000","Age: 95 ex_fr_female$Type: Observed Year: 1820 Ex: 2.790000","Age: 95 ex_fr_female$Type: Observed Year: 1821 Ex: 3.090000","Age: 95 ex_fr_female$Type: Observed Year: 1822 Ex: 2.770000","Age: 95 ex_fr_female$Type: Observed Year: 1823 Ex: 2.730000","Age: 95 ex_fr_female$Type: Observed Year: 1824 Ex: 3.130000","Age: 95 ex_fr_female$Type: Observed Year: 1825 Ex: 2.850000","Age: 95 ex_fr_female$Type: Observed Year: 1826 Ex: 2.640000","Age: 95 ex_fr_female$Type: Observed Year: 1827 Ex: 3.040000","Age: 95 ex_fr_female$Type: Observed Year: 1828 Ex: 2.940000","Age: 95 ex_fr_female$Type: Observed Year: 1829 Ex: 2.680000","Age: 95 ex_fr_female$Type: Observed Year: 1830 Ex: 2.820000","Age: 95 ex_fr_female$Type: Observed Year: 1831 Ex: 2.650000","Age: 95 ex_fr_female$Type: Observed Year: 1832 Ex: 2.640000","Age: 95 ex_fr_female$Type: Observed Year: 1833 Ex: 2.880000","Age: 95 ex_fr_female$Type: Observed Year: 1834 Ex: 2.770000","Age: 95 ex_fr_female$Type: Observed Year: 1835 Ex: 2.720000","Age: 95 ex_fr_female$Type: Observed Year: 1836 Ex: 2.780000","Age: 95 ex_fr_female$Type: Observed Year: 1837 Ex: 2.470000","Age: 95 ex_fr_female$Type: Observed Year: 1838 Ex: 2.750000","Age: 95 ex_fr_female$Type: Observed Year: 1839 Ex: 2.960000","Age: 95 ex_fr_female$Type: Observed Year: 1840 Ex: 2.570000","Age: 95 ex_fr_female$Type: Observed Year: 1841 Ex: 2.690000","Age: 95 ex_fr_female$Type: Observed Year: 1842 Ex: 2.630000","Age: 95 ex_fr_female$Type: Observed Year: 1843 Ex: 2.660000","Age: 95 ex_fr_female$Type: Observed Year: 1844 Ex: 2.660000","Age: 95 ex_fr_female$Type: Observed Year: 1845 Ex: 2.780000","Age: 95 ex_fr_female$Type: Observed Year: 1846 Ex: 2.430000","Age: 95 ex_fr_female$Type: Observed Year: 1847 Ex: 2.280000","Age: 95 ex_fr_female$Type: Observed Year: 1848 Ex: 2.450000","Age: 95 ex_fr_female$Type: Observed Year: 1849 Ex: 2.440000","Age: 95 ex_fr_female$Type: Observed Year: 1850 Ex: 2.590000","Age: 95 ex_fr_female$Type: Observed Year: 1851 Ex: 2.380000","Age: 95 ex_fr_female$Type: Observed Year: 1852 Ex: 2.440000","Age: 95 ex_fr_female$Type: Observed Year: 1853 Ex: 2.200000","Age: 95 ex_fr_female$Type: Observed Year: 1854 Ex: 2.150000","Age: 95 ex_fr_female$Type: Observed Year: 1855 Ex: 1.960000","Age: 95 ex_fr_female$Type: Observed Year: 1856 Ex: 2.160000","Age: 95 ex_fr_female$Type: Observed Year: 1857 Ex: 2.140000","Age: 95 ex_fr_female$Type: Observed Year: 1858 Ex: 2.080000","Age: 95 ex_fr_female$Type: Observed Year: 1859 Ex: 2.150000","Age: 95 ex_fr_female$Type: Observed Year: 1860 Ex: 2.320000","Age: 95 ex_fr_female$Type: Observed Year: 1861 Ex: 2.270000","Age: 95 ex_fr_female$Type: Observed Year: 1862 Ex: 2.300000","Age: 95 ex_fr_female$Type: Observed Year: 1863 Ex: 2.300000","Age: 95 ex_fr_female$Type: Observed Year: 1864 Ex: 2.230000","Age: 95 ex_fr_female$Type: Observed Year: 1865 Ex: 2.150000","Age: 95 ex_fr_female$Type: Observed Year: 1866 Ex: 2.260000","Age: 95 ex_fr_female$Type: Observed Year: 1867 Ex: 2.200000","Age: 95 ex_fr_female$Type: Observed Year: 1868 Ex: 2.170000","Age: 95 ex_fr_female$Type: Observed Year: 1869 Ex: 2.200000","Age: 95 ex_fr_female$Type: Observed Year: 1870 Ex: 2.010000","Age: 95 ex_fr_female$Type: Observed Year: 1871 Ex: 1.870000","Age: 95 ex_fr_female$Type: Observed Year: 1872 Ex: 2.390000","Age: 95 ex_fr_female$Type: Observed Year: 1873 Ex: 2.130000","Age: 95 ex_fr_female$Type: Observed Year: 1874 Ex: 2.230000","Age: 95 ex_fr_female$Type: Observed Year: 1875 Ex: 2.120000","Age: 95 ex_fr_female$Type: Observed Year: 1876 Ex: 2.130000","Age: 95 ex_fr_female$Type: Observed Year: 1877 Ex: 2.120000","Age: 95 ex_fr_female$Type: Observed Year: 1878 Ex: 2.080000","Age: 95 ex_fr_female$Type: Observed Year: 1879 Ex: 1.940000","Age: 95 ex_fr_female$Type: Observed Year: 1880 Ex: 2.200000","Age: 95 ex_fr_female$Type: Observed Year: 1881 Ex: 2.370000","Age: 95 ex_fr_female$Type: Observed Year: 1882 Ex: 2.300000","Age: 95 ex_fr_female$Type: Observed Year: 1883 Ex: 2.120000","Age: 95 ex_fr_female$Type: Observed Year: 1884 Ex: 2.230000","Age: 95 ex_fr_female$Type: Observed Year: 1885 Ex: 2.110000","Age: 95 ex_fr_female$Type: Observed Year: 1886 Ex: 2.080000","Age: 95 ex_fr_female$Type: Observed Year: 1887 Ex: 2.130000","Age: 95 ex_fr_female$Type: Observed Year: 1888 Ex: 2.090000","Age: 95 ex_fr_female$Type: Observed Year: 1889 Ex: 2.240000","Age: 95 ex_fr_female$Type: Observed Year: 1890 Ex: 2.070000","Age: 95 ex_fr_female$Type: Observed Year: 1891 Ex: 1.920000","Age: 95 ex_fr_female$Type: Observed Year: 1892 Ex: 1.940000","Age: 95 ex_fr_female$Type: Observed Year: 1893 Ex: 1.940000","Age: 95 ex_fr_female$Type: Observed Year: 1894 Ex: 1.960000","Age: 95 ex_fr_female$Type: Observed Year: 1895 Ex: 1.830000","Age: 95 ex_fr_female$Type: Observed Year: 1896 Ex: 2.080000","Age: 95 ex_fr_female$Type: Observed Year: 1897 Ex: 2.290000","Age: 95 ex_fr_female$Type: Observed Year: 1898 Ex: 2.090000","Age: 95 ex_fr_female$Type: Observed Year: 1899 Ex: 1.970000","Age: 95 ex_fr_female$Type: Observed Year: 1900 Ex: 1.960000","Age: 95 ex_fr_female$Type: Observed Year: 1901 Ex: 2.060000","Age: 95 ex_fr_female$Type: Observed Year: 1902 Ex: 2.100000","Age: 95 ex_fr_female$Type: Observed Year: 1903 Ex: 2.100000","Age: 95 ex_fr_female$Type: Observed Year: 1904 Ex: 2.020000","Age: 95 ex_fr_female$Type: Observed Year: 1905 Ex: 1.930000","Age: 95 ex_fr_female$Type: Observed Year: 1906 Ex: 1.930000","Age: 95 ex_fr_female$Type: Observed Year: 1907 Ex: 1.980000","Age: 95 ex_fr_female$Type: Observed Year: 1908 Ex: 2.100000","Age: 95 ex_fr_female$Type: Observed Year: 1909 Ex: 2.000000","Age: 95 ex_fr_female$Type: Observed Year: 1910 Ex: 2.110000","Age: 95 ex_fr_female$Type: Observed Year: 1911 Ex: 1.870000","Age: 95 ex_fr_female$Type: Observed Year: 1912 Ex: 2.180000","Age: 95 ex_fr_female$Type: Observed Year: 1913 Ex: 2.170000","Age: 95 ex_fr_female$Type: Observed Year: 1914 Ex: 1.920000","Age: 95 ex_fr_female$Type: Observed Year: 1915 Ex: 2.020000","Age: 95 ex_fr_female$Type: Observed Year: 1916 Ex: 1.960000","Age: 95 ex_fr_female$Type: Observed Year: 1917 Ex: 1.850000","Age: 95 ex_fr_female$Type: Observed Year: 1918 Ex: 1.930000","Age: 95 ex_fr_female$Type: Observed Year: 1919 Ex: 1.850000","Age: 95 ex_fr_female$Type: Observed Year: 1920 Ex: 2.140000","Age: 95 ex_fr_female$Type: Observed Year: 1921 Ex: 2.060000","Age: 95 ex_fr_female$Type: Observed Year: 1922 Ex: 1.970000","Age: 95 ex_fr_female$Type: Observed Year: 1923 Ex: 2.120000","Age: 95 ex_fr_female$Type: Observed Year: 1924 Ex: 2.120000","Age: 95 ex_fr_female$Type: Observed Year: 1925 Ex: 1.960000","Age: 95 ex_fr_female$Type: Observed Year: 1926 Ex: 2.030000","Age: 95 ex_fr_female$Type: Observed Year: 1927 Ex: 2.010000","Age: 95 ex_fr_female$Type: Observed Year: 1928 Ex: 2.030000","Age: 95 ex_fr_female$Type: Observed Year: 1929 Ex: 1.840000","Age: 95 ex_fr_female$Type: Observed Year: 1930 Ex: 2.290000","Age: 95 ex_fr_female$Type: Observed Year: 1931 Ex: 1.980000","Age: 95 ex_fr_female$Type: Observed Year: 1932 Ex: 2.060000","Age: 95 ex_fr_female$Type: Observed Year: 1933 Ex: 2.000000","Age: 95 ex_fr_female$Type: Observed Year: 1934 Ex: 2.250000","Age: 95 ex_fr_female$Type: Observed Year: 1935 Ex: 2.080000","Age: 95 ex_fr_female$Type: Observed Year: 1936 Ex: 2.160000","Age: 95 ex_fr_female$Type: Observed Year: 1937 Ex: 2.180000","Age: 95 ex_fr_female$Type: Observed Year: 1938 Ex: 2.120000","Age: 95 ex_fr_female$Type: Observed Year: 1939 Ex: 2.070000","Age: 95 ex_fr_female$Type: Observed Year: 1940 Ex: 1.650000","Age: 95 ex_fr_female$Type: Observed Year: 1941 Ex: 1.900000","Age: 95 ex_fr_female$Type: Observed Year: 1942 Ex: 1.900000","Age: 95 ex_fr_female$Type: Observed Year: 1943 Ex: 1.970000","Age: 95 ex_fr_female$Type: Observed Year: 1944 Ex: 1.790000","Age: 95 ex_fr_female$Type: Observed Year: 1945 Ex: 1.990000","Age: 95 ex_fr_female$Type: Observed Year: 1946 Ex: 2.270000","Age: 95 ex_fr_female$Type: Observed Year: 1947 Ex: 2.350000","Age: 95 ex_fr_female$Type: Observed Year: 1948 Ex: 2.540000","Age: 95 ex_fr_female$Type: Observed Year: 1949 Ex: 2.140000","Age: 95 ex_fr_female$Type: Observed Year: 1950 Ex: 2.320000","Age: 95 ex_fr_female$Type: Observed Year: 1951 Ex: 2.100000","Age: 95 ex_fr_female$Type: Observed Year: 1952 Ex: 2.310000","Age: 95 ex_fr_female$Type: Observed Year: 1953 Ex: 2.100000","Age: 95 ex_fr_female$Type: Observed Year: 1954 Ex: 2.350000","Age: 95 ex_fr_female$Type: Observed Year: 1955 Ex: 2.290000","Age: 95 ex_fr_female$Type: Observed Year: 1956 Ex: 2.150000","Age: 95 ex_fr_female$Type: Observed Year: 1957 Ex: 2.260000","Age: 95 ex_fr_female$Type: Observed Year: 1958 Ex: 2.380000","Age: 95 ex_fr_female$Type: Observed Year: 1959 Ex: 2.380000","Age: 95 ex_fr_female$Type: Observed Year: 1960 Ex: 2.300000","Age: 95 ex_fr_female$Type: Observed Year: 1961 Ex: 2.470000","Age: 95 ex_fr_female$Type: Observed Year: 1962 Ex: 2.290000","Age: 95 ex_fr_female$Type: Observed Year: 1963 Ex: 2.250000","Age: 95 ex_fr_female$Type: Observed Year: 1964 Ex: 2.500000","Age: 95 ex_fr_female$Type: Observed Year: 1965 Ex: 2.410000","Age: 95 ex_fr_female$Type: Observed Year: 1966 Ex: 2.520000","Age: 95 ex_fr_female$Type: Observed Year: 1967 Ex: 2.460000","Age: 95 ex_fr_female$Type: Observed Year: 1968 Ex: 2.420000","Age: 95 ex_fr_female$Type: Observed Year: 1969 Ex: 2.480000","Age: 95 ex_fr_female$Type: Observed Year: 1970 Ex: 2.510000","Age: 95 ex_fr_female$Type: Observed Year: 1971 Ex: 2.430000","Age: 95 ex_fr_female$Type: Observed Year: 1972 Ex: 2.570000","Age: 95 ex_fr_female$Type: Observed Year: 1973 Ex: 2.500000","Age: 95 ex_fr_female$Type: Observed Year: 1974 Ex: 2.520000","Age: 95 ex_fr_female$Type: Observed Year: 1975 Ex: 2.510000","Age: 95 ex_fr_female$Type: Observed Year: 1976 Ex: 2.510000","Age: 95 ex_fr_female$Type: Observed Year: 1977 Ex: 2.660000","Age: 95 ex_fr_female$Type: Observed Year: 1978 Ex: 2.640000","Age: 95 ex_fr_female$Type: Observed Year: 1979 Ex: 2.690000","Age: 95 ex_fr_female$Type: Observed Year: 1980 Ex: 2.620000","Age: 95 ex_fr_female$Type: Observed Year: 1981 Ex: 2.590000","Age: 95 ex_fr_female$Type: Observed Year: 1982 Ex: 2.710000","Age: 95 ex_fr_female$Type: Observed Year: 1983 Ex: 2.590000","Age: 95 ex_fr_female$Type: Observed Year: 1984 Ex: 2.730000","Age: 95 ex_fr_female$Type: Observed Year: 1985 Ex: 2.670000","Age: 95 ex_fr_female$Type: Observed Year: 1986 Ex: 2.700000","Age: 95 ex_fr_female$Type: Observed Year: 1987 Ex: 2.850000","Age: 95 ex_fr_female$Type: Observed Year: 1988 Ex: 2.870000","Age: 95 ex_fr_female$Type: Observed Year: 1989 Ex: 2.810000","Age: 95 ex_fr_female$Type: Observed Year: 1990 Ex: 2.830000","Age: 95 ex_fr_female$Type: Observed Year: 1991 Ex: 2.910000","Age: 95 ex_fr_female$Type: Observed Year: 1992 Ex: 2.950000","Age: 95 ex_fr_female$Type: Observed Year: 1993 Ex: 2.910000","Age: 95 ex_fr_female$Type: Observed Year: 1994 Ex: 3.040000","Age: 95 ex_fr_female$Type: Observed Year: 1995 Ex: 2.970000","Age: 95 ex_fr_female$Type: Observed Year: 1996 Ex: 2.960000","Age: 95 ex_fr_female$Type: Observed Year: 1997 Ex: 2.990000","Age: 95 ex_fr_female$Type: Observed Year: 1998 Ex: 2.990000","Age: 95 ex_fr_female$Type: Observed Year: 1999 Ex: 2.990000","Age: 95 ex_fr_female$Type: Observed Year: 2000 Ex: 3.040000","Age: 95 ex_fr_female$Type: Observed Year: 2001 Ex: 3.060000","Age: 95 ex_fr_female$Type: Observed Year: 2002 Ex: 3.050000","Age: 95 ex_fr_female$Type: Observed Year: 2003 Ex: 2.910000","Age: 95 ex_fr_female$Type: Observed Year: 2004 Ex: 3.280000","Age: 95 ex_fr_female$Type: Observed Year: 2005 Ex: 3.170000","Age: 95 ex_fr_female$Type: Observed Year: 2006 Ex: 3.320000","Age: 95 ex_fr_female$Type: Observed Year: 2007 Ex: 3.340000","Age: 95 ex_fr_female$Type: Observed Year: 2008 Ex: 3.290000","Age: 95 ex_fr_female$Type: Observed Year: 2009 Ex: 3.290000","Age: 95 ex_fr_female$Type: Observed Year: 2010 Ex: 3.340000","Age: 95 ex_fr_female$Type: Observed Year: 2011 Ex: 3.410000","Age: 95 ex_fr_female$Type: Observed Year: 2012 Ex: 3.240000","Age: 95 ex_fr_female$Type: Observed Year: 2013 Ex: 3.310000","Age: 95 ex_fr_female$Type: Observed Year: 2014 Ex: 3.470000","Age: 95 ex_fr_female$Type: Observed Year: 2015 Ex: 3.260000","Age: 95 ex_fr_female$Type: Observed Year: 2016 Ex: 3.340000","Age: 95 ex_fr_female$Type: Observed Year: 2017 Ex: 3.270000"],"frame":"95","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[3.49225051125162,3.28184723744105,3.30202990214915,3.36978941480577,3.2476492048323,3.54776309079956,3.22219633942231,3.18414744288651,3.58491162870438,3.31024502956932,3.10378552044285,3.49933687859131,3.40310903527677,3.14407105647681,3.27550416503837,3.10703320177868,3.10607568438995,3.33953312704644,3.22916225765116,3.17437797931727,3.23741106590363,2.93122290018026,3.21332600055443,3.42014156370963,3.02902665023757,3.14940516064238,3.08839735440083,3.12123095508983,3.12152689784073,3.2402772039075,2.88959078568695,2.73973329467539,2.91232874166539,2.90384542057513,3.04559088201913,2.83650080579195,2.89408252045495,2.6662020462146,2.6180188551828,2.42437940715453,2.62001751494442,2.59570884164291,2.54321369742958,2.61409548939771,2.77293100386756,2.73279354631284,2.75462138599124,2.75376400189074,2.69108630308845,2.60901387399882,2.71736947835864,2.65704245681161,2.62978888653166,2.65884734874979,2.47693677339067,2.33324750284808,2.840995902354,2.59181326327906,2.68395191567223,2.58002404572214,2.59169850605023,2.57812445109692,2.54217858480203,2.39884900551676,2.66226946816337,2.83081783384684,2.76127500140205,2.57752196544499,2.68785317380523,2.56894571561459,2.535516842878,2.58947252141116,2.54970051164086,2.69857010408814,2.52793147461799,2.38073004198304,2.40295483586237,2.40529042907497,2.42586460306869,2.29426917818694,2.53334619157466,2.7473962947417,2.55045416419153,2.43554437314229,2.42291020747223,2.52416143773908,2.56100426386075,2.55713820096388,2.47587039071052,2.39331588875468,2.39574210471849,2.44669479560951,2.55664183778281,2.4647820092649,2.56429447188368,2.33533602771388,2.63918342637665,2.63041567922137,2.38223177095544,2.48054330393819,2.42064656401743,2.31533998083578,2.39567316135252,2.31692478222225,2.59961225213429,2.51632155306147,2.42584824919054,2.58061427457205,2.57396788326967,2.4156188234504,2.49271352190186,2.46782041812478,2.49061348410327,2.30710697510675,2.74240533345569,2.43935059334305,2.51871444796476,2.46079780072985,2.70332554405632,2.53629469281806,2.61606433064546,2.63432580529723,2.57624367986433,2.52365773071629,2.12157237560572,2.36381689415708,2.35762782259847,2.43183886376604,2.25456294805242,2.45258817914254,2.72055046657851,2.80229106117646,2.98420732573081,2.59737044798748,2.77135857750444,2.55446313304167,2.75739309094038,2.55124374733593,2.79543206760619,2.73961297517332,2.60528294286418,2.70325663733501,2.82020252714,2.82303331620797,2.74515160501585,2.91478870130779,2.73886361292751,2.6937536242376,2.93558160260396,2.84882222648792,2.95956958548437,2.90504981626536,2.86130683880079,2.92215958342319,2.95042093210591,2.86866864718326,3.00757788409776,2.93520761422636,2.95805411238034,2.94851539235658,2.94902392182904,3.09412160670134,3.07707875528984,3.11780921566601,3.05687828703995,3.02091259271296,3.13626701815985,3.02229199946378,3.1558138944494,3.10355304521818,3.13081069691143,3.27317787369827,3.29533127254918,3.22884836510193,3.24758170005697,3.32578631757846,3.36522468960657,3.32811550196599,3.45251051926098,3.38454603818081,3.3779525841687,3.4074549056254,3.4092081109941,3.40180635639925,3.45258592802031,3.474285999469,3.46451994323723,3.32188281194272,3.68992464763693,3.57963177286058,3.72732495417401,3.74131739739351,3.69671876597976,3.69767844947204,3.74143734365355,3.80910582162067,3.648360189815,3.71618255474214,3.86396174733161,3.66565348456106,3.7361677101015,3.66651395123407],"text":["Age: 95 ex_fr_female$Type: Predicted Year: 1816 Ex: 3.492251","Age: 95 ex_fr_female$Type: Predicted Year: 1817 Ex: 3.281847","Age: 95 ex_fr_female$Type: Predicted Year: 1818 Ex: 3.302030","Age: 95 ex_fr_female$Type: Predicted Year: 1819 Ex: 3.369789","Age: 95 ex_fr_female$Type: Predicted Year: 1820 Ex: 3.247649","Age: 95 ex_fr_female$Type: Predicted Year: 1821 Ex: 3.547763","Age: 95 ex_fr_female$Type: Predicted Year: 1822 Ex: 3.222196","Age: 95 ex_fr_female$Type: Predicted Year: 1823 Ex: 3.184147","Age: 95 ex_fr_female$Type: Predicted Year: 1824 Ex: 3.584912","Age: 95 ex_fr_female$Type: Predicted Year: 1825 Ex: 3.310245","Age: 95 ex_fr_female$Type: Predicted Year: 1826 Ex: 3.103786","Age: 95 ex_fr_female$Type: Predicted Year: 1827 Ex: 3.499337","Age: 95 ex_fr_female$Type: Predicted Year: 1828 Ex: 3.403109","Age: 95 ex_fr_female$Type: Predicted Year: 1829 Ex: 3.144071","Age: 95 ex_fr_female$Type: Predicted Year: 1830 Ex: 3.275504","Age: 95 ex_fr_female$Type: Predicted Year: 1831 Ex: 3.107033","Age: 95 ex_fr_female$Type: Predicted Year: 1832 Ex: 3.106076","Age: 95 ex_fr_female$Type: Predicted Year: 1833 Ex: 3.339533","Age: 95 ex_fr_female$Type: Predicted Year: 1834 Ex: 3.229162","Age: 95 ex_fr_female$Type: Predicted Year: 1835 Ex: 3.174378","Age: 95 ex_fr_female$Type: Predicted Year: 1836 Ex: 3.237411","Age: 95 ex_fr_female$Type: Predicted Year: 1837 Ex: 2.931223","Age: 95 ex_fr_female$Type: Predicted Year: 1838 Ex: 3.213326","Age: 95 ex_fr_female$Type: Predicted Year: 1839 Ex: 3.420142","Age: 95 ex_fr_female$Type: Predicted Year: 1840 Ex: 3.029027","Age: 95 ex_fr_female$Type: Predicted Year: 1841 Ex: 3.149405","Age: 95 ex_fr_female$Type: Predicted Year: 1842 Ex: 3.088397","Age: 95 ex_fr_female$Type: Predicted Year: 1843 Ex: 3.121231","Age: 95 ex_fr_female$Type: Predicted Year: 1844 Ex: 3.121527","Age: 95 ex_fr_female$Type: Predicted Year: 1845 Ex: 3.240277","Age: 95 ex_fr_female$Type: Predicted Year: 1846 Ex: 2.889591","Age: 95 ex_fr_female$Type: Predicted Year: 1847 Ex: 2.739733","Age: 95 ex_fr_female$Type: Predicted Year: 1848 Ex: 2.912329","Age: 95 ex_fr_female$Type: Predicted Year: 1849 Ex: 2.903845","Age: 95 ex_fr_female$Type: Predicted Year: 1850 Ex: 3.045591","Age: 95 ex_fr_female$Type: Predicted Year: 1851 Ex: 2.836501","Age: 95 ex_fr_female$Type: Predicted Year: 1852 Ex: 2.894083","Age: 95 ex_fr_female$Type: Predicted Year: 1853 Ex: 2.666202","Age: 95 ex_fr_female$Type: Predicted Year: 1854 Ex: 2.618019","Age: 95 ex_fr_female$Type: Predicted Year: 1855 Ex: 2.424379","Age: 95 ex_fr_female$Type: Predicted Year: 1856 Ex: 2.620018","Age: 95 ex_fr_female$Type: Predicted Year: 1857 Ex: 2.595709","Age: 95 ex_fr_female$Type: Predicted Year: 1858 Ex: 2.543214","Age: 95 ex_fr_female$Type: Predicted Year: 1859 Ex: 2.614095","Age: 95 ex_fr_female$Type: Predicted Year: 1860 Ex: 2.772931","Age: 95 ex_fr_female$Type: Predicted Year: 1861 Ex: 2.732794","Age: 95 ex_fr_female$Type: Predicted Year: 1862 Ex: 2.754621","Age: 95 ex_fr_female$Type: Predicted Year: 1863 Ex: 2.753764","Age: 95 ex_fr_female$Type: Predicted Year: 1864 Ex: 2.691086","Age: 95 ex_fr_female$Type: Predicted Year: 1865 Ex: 2.609014","Age: 95 ex_fr_female$Type: Predicted Year: 1866 Ex: 2.717369","Age: 95 ex_fr_female$Type: Predicted Year: 1867 Ex: 2.657042","Age: 95 ex_fr_female$Type: Predicted Year: 1868 Ex: 2.629789","Age: 95 ex_fr_female$Type: Predicted Year: 1869 Ex: 2.658847","Age: 95 ex_fr_female$Type: Predicted Year: 1870 Ex: 2.476937","Age: 95 ex_fr_female$Type: Predicted Year: 1871 Ex: 2.333248","Age: 95 ex_fr_female$Type: Predicted Year: 1872 Ex: 2.840996","Age: 95 ex_fr_female$Type: Predicted Year: 1873 Ex: 2.591813","Age: 95 ex_fr_female$Type: Predicted Year: 1874 Ex: 2.683952","Age: 95 ex_fr_female$Type: Predicted Year: 1875 Ex: 2.580024","Age: 95 ex_fr_female$Type: Predicted Year: 1876 Ex: 2.591699","Age: 95 ex_fr_female$Type: Predicted Year: 1877 Ex: 2.578124","Age: 95 ex_fr_female$Type: Predicted Year: 1878 Ex: 2.542179","Age: 95 ex_fr_female$Type: Predicted Year: 1879 Ex: 2.398849","Age: 95 ex_fr_female$Type: Predicted Year: 1880 Ex: 2.662269","Age: 95 ex_fr_female$Type: Predicted Year: 1881 Ex: 2.830818","Age: 95 ex_fr_female$Type: Predicted Year: 1882 Ex: 2.761275","Age: 95 ex_fr_female$Type: Predicted Year: 1883 Ex: 2.577522","Age: 95 ex_fr_female$Type: Predicted Year: 1884 Ex: 2.687853","Age: 95 ex_fr_female$Type: Predicted Year: 1885 Ex: 2.568946","Age: 95 ex_fr_female$Type: Predicted Year: 1886 Ex: 2.535517","Age: 95 ex_fr_female$Type: Predicted Year: 1887 Ex: 2.589473","Age: 95 ex_fr_female$Type: Predicted Year: 1888 Ex: 2.549701","Age: 95 ex_fr_female$Type: Predicted Year: 1889 Ex: 2.698570","Age: 95 ex_fr_female$Type: Predicted Year: 1890 Ex: 2.527931","Age: 95 ex_fr_female$Type: Predicted Year: 1891 Ex: 2.380730","Age: 95 ex_fr_female$Type: Predicted Year: 1892 Ex: 2.402955","Age: 95 ex_fr_female$Type: Predicted Year: 1893 Ex: 2.405290","Age: 95 ex_fr_female$Type: Predicted Year: 1894 Ex: 2.425865","Age: 95 ex_fr_female$Type: Predicted Year: 1895 Ex: 2.294269","Age: 95 ex_fr_female$Type: Predicted Year: 1896 Ex: 2.533346","Age: 95 ex_fr_female$Type: Predicted Year: 1897 Ex: 2.747396","Age: 95 ex_fr_female$Type: Predicted Year: 1898 Ex: 2.550454","Age: 95 ex_fr_female$Type: Predicted Year: 1899 Ex: 2.435544","Age: 95 ex_fr_female$Type: Predicted Year: 1900 Ex: 2.422910","Age: 95 ex_fr_female$Type: Predicted Year: 1901 Ex: 2.524161","Age: 95 ex_fr_female$Type: Predicted Year: 1902 Ex: 2.561004","Age: 95 ex_fr_female$Type: Predicted Year: 1903 Ex: 2.557138","Age: 95 ex_fr_female$Type: Predicted Year: 1904 Ex: 2.475870","Age: 95 ex_fr_female$Type: Predicted Year: 1905 Ex: 2.393316","Age: 95 ex_fr_female$Type: Predicted Year: 1906 Ex: 2.395742","Age: 95 ex_fr_female$Type: Predicted Year: 1907 Ex: 2.446695","Age: 95 ex_fr_female$Type: Predicted Year: 1908 Ex: 2.556642","Age: 95 ex_fr_female$Type: Predicted Year: 1909 Ex: 2.464782","Age: 95 ex_fr_female$Type: Predicted Year: 1910 Ex: 2.564294","Age: 95 ex_fr_female$Type: Predicted Year: 1911 Ex: 2.335336","Age: 95 ex_fr_female$Type: Predicted Year: 1912 Ex: 2.639183","Age: 95 ex_fr_female$Type: Predicted Year: 1913 Ex: 2.630416","Age: 95 ex_fr_female$Type: Predicted Year: 1914 Ex: 2.382232","Age: 95 ex_fr_female$Type: Predicted Year: 1915 Ex: 2.480543","Age: 95 ex_fr_female$Type: Predicted Year: 1916 Ex: 2.420647","Age: 95 ex_fr_female$Type: Predicted Year: 1917 Ex: 2.315340","Age: 95 ex_fr_female$Type: Predicted Year: 1918 Ex: 2.395673","Age: 95 ex_fr_female$Type: Predicted Year: 1919 Ex: 2.316925","Age: 95 ex_fr_female$Type: Predicted Year: 1920 Ex: 2.599612","Age: 95 ex_fr_female$Type: Predicted Year: 1921 Ex: 2.516322","Age: 95 ex_fr_female$Type: Predicted Year: 1922 Ex: 2.425848","Age: 95 ex_fr_female$Type: Predicted Year: 1923 Ex: 2.580614","Age: 95 ex_fr_female$Type: Predicted Year: 1924 Ex: 2.573968","Age: 95 ex_fr_female$Type: Predicted Year: 1925 Ex: 2.415619","Age: 95 ex_fr_female$Type: Predicted Year: 1926 Ex: 2.492714","Age: 95 ex_fr_female$Type: Predicted Year: 1927 Ex: 2.467820","Age: 95 ex_fr_female$Type: Predicted Year: 1928 Ex: 2.490613","Age: 95 ex_fr_female$Type: Predicted Year: 1929 Ex: 2.307107","Age: 95 ex_fr_female$Type: Predicted Year: 1930 Ex: 2.742405","Age: 95 ex_fr_female$Type: Predicted Year: 1931 Ex: 2.439351","Age: 95 ex_fr_female$Type: Predicted Year: 1932 Ex: 2.518714","Age: 95 ex_fr_female$Type: Predicted Year: 1933 Ex: 2.460798","Age: 95 ex_fr_female$Type: Predicted Year: 1934 Ex: 2.703326","Age: 95 ex_fr_female$Type: Predicted Year: 1935 Ex: 2.536295","Age: 95 ex_fr_female$Type: Predicted Year: 1936 Ex: 2.616064","Age: 95 ex_fr_female$Type: Predicted Year: 1937 Ex: 2.634326","Age: 95 ex_fr_female$Type: Predicted Year: 1938 Ex: 2.576244","Age: 95 ex_fr_female$Type: Predicted Year: 1939 Ex: 2.523658","Age: 95 ex_fr_female$Type: Predicted Year: 1940 Ex: 2.121572","Age: 95 ex_fr_female$Type: Predicted Year: 1941 Ex: 2.363817","Age: 95 ex_fr_female$Type: Predicted Year: 1942 Ex: 2.357628","Age: 95 ex_fr_female$Type: Predicted Year: 1943 Ex: 2.431839","Age: 95 ex_fr_female$Type: Predicted Year: 1944 Ex: 2.254563","Age: 95 ex_fr_female$Type: Predicted Year: 1945 Ex: 2.452588","Age: 95 ex_fr_female$Type: Predicted Year: 1946 Ex: 2.720550","Age: 95 ex_fr_female$Type: Predicted Year: 1947 Ex: 2.802291","Age: 95 ex_fr_female$Type: Predicted Year: 1948 Ex: 2.984207","Age: 95 ex_fr_female$Type: Predicted Year: 1949 Ex: 2.597370","Age: 95 ex_fr_female$Type: Predicted Year: 1950 Ex: 2.771359","Age: 95 ex_fr_female$Type: Predicted Year: 1951 Ex: 2.554463","Age: 95 ex_fr_female$Type: Predicted Year: 1952 Ex: 2.757393","Age: 95 ex_fr_female$Type: Predicted Year: 1953 Ex: 2.551244","Age: 95 ex_fr_female$Type: Predicted Year: 1954 Ex: 2.795432","Age: 95 ex_fr_female$Type: Predicted Year: 1955 Ex: 2.739613","Age: 95 ex_fr_female$Type: Predicted Year: 1956 Ex: 2.605283","Age: 95 ex_fr_female$Type: Predicted Year: 1957 Ex: 2.703257","Age: 95 ex_fr_female$Type: Predicted Year: 1958 Ex: 2.820203","Age: 95 ex_fr_female$Type: Predicted Year: 1959 Ex: 2.823033","Age: 95 ex_fr_female$Type: Predicted Year: 1960 Ex: 2.745152","Age: 95 ex_fr_female$Type: Predicted Year: 1961 Ex: 2.914789","Age: 95 ex_fr_female$Type: Predicted Year: 1962 Ex: 2.738864","Age: 95 ex_fr_female$Type: Predicted Year: 1963 Ex: 2.693754","Age: 95 ex_fr_female$Type: Predicted Year: 1964 Ex: 2.935582","Age: 95 ex_fr_female$Type: Predicted Year: 1965 Ex: 2.848822","Age: 95 ex_fr_female$Type: Predicted Year: 1966 Ex: 2.959570","Age: 95 ex_fr_female$Type: Predicted Year: 1967 Ex: 2.905050","Age: 95 ex_fr_female$Type: Predicted Year: 1968 Ex: 2.861307","Age: 95 ex_fr_female$Type: Predicted Year: 1969 Ex: 2.922160","Age: 95 ex_fr_female$Type: Predicted Year: 1970 Ex: 2.950421","Age: 95 ex_fr_female$Type: Predicted Year: 1971 Ex: 2.868669","Age: 95 ex_fr_female$Type: Predicted Year: 1972 Ex: 3.007578","Age: 95 ex_fr_female$Type: Predicted Year: 1973 Ex: 2.935208","Age: 95 ex_fr_female$Type: Predicted Year: 1974 Ex: 2.958054","Age: 95 ex_fr_female$Type: Predicted Year: 1975 Ex: 2.948515","Age: 95 ex_fr_female$Type: Predicted Year: 1976 Ex: 2.949024","Age: 95 ex_fr_female$Type: Predicted Year: 1977 Ex: 3.094122","Age: 95 ex_fr_female$Type: Predicted Year: 1978 Ex: 3.077079","Age: 95 ex_fr_female$Type: Predicted Year: 1979 Ex: 3.117809","Age: 95 ex_fr_female$Type: Predicted Year: 1980 Ex: 3.056878","Age: 95 ex_fr_female$Type: Predicted Year: 1981 Ex: 3.020913","Age: 95 ex_fr_female$Type: Predicted Year: 1982 Ex: 3.136267","Age: 95 ex_fr_female$Type: Predicted Year: 1983 Ex: 3.022292","Age: 95 ex_fr_female$Type: Predicted Year: 1984 Ex: 3.155814","Age: 95 ex_fr_female$Type: Predicted Year: 1985 Ex: 3.103553","Age: 95 ex_fr_female$Type: Predicted Year: 1986 Ex: 3.130811","Age: 95 ex_fr_female$Type: Predicted Year: 1987 Ex: 3.273178","Age: 95 ex_fr_female$Type: Predicted Year: 1988 Ex: 3.295331","Age: 95 ex_fr_female$Type: Predicted Year: 1989 Ex: 3.228848","Age: 95 ex_fr_female$Type: Predicted Year: 1990 Ex: 3.247582","Age: 95 ex_fr_female$Type: Predicted Year: 1991 Ex: 3.325786","Age: 95 ex_fr_female$Type: Predicted Year: 1992 Ex: 3.365225","Age: 95 ex_fr_female$Type: Predicted Year: 1993 Ex: 3.328116","Age: 95 ex_fr_female$Type: Predicted Year: 1994 Ex: 3.452511","Age: 95 ex_fr_female$Type: Predicted Year: 1995 Ex: 3.384546","Age: 95 ex_fr_female$Type: Predicted Year: 1996 Ex: 3.377953","Age: 95 ex_fr_female$Type: Predicted Year: 1997 Ex: 3.407455","Age: 95 ex_fr_female$Type: Predicted Year: 1998 Ex: 3.409208","Age: 95 ex_fr_female$Type: Predicted Year: 1999 Ex: 3.401806","Age: 95 ex_fr_female$Type: Predicted Year: 2000 Ex: 3.452586","Age: 95 ex_fr_female$Type: Predicted Year: 2001 Ex: 3.474286","Age: 95 ex_fr_female$Type: Predicted Year: 2002 Ex: 3.464520","Age: 95 ex_fr_female$Type: Predicted Year: 2003 Ex: 3.321883","Age: 95 ex_fr_female$Type: Predicted Year: 2004 Ex: 3.689925","Age: 95 ex_fr_female$Type: Predicted Year: 2005 Ex: 3.579632","Age: 95 ex_fr_female$Type: Predicted Year: 2006 Ex: 3.727325","Age: 95 ex_fr_female$Type: Predicted Year: 2007 Ex: 3.741317","Age: 95 ex_fr_female$Type: Predicted Year: 2008 Ex: 3.696719","Age: 95 ex_fr_female$Type: Predicted Year: 2009 Ex: 3.697678","Age: 95 ex_fr_female$Type: Predicted Year: 2010 Ex: 3.741437","Age: 95 ex_fr_female$Type: Predicted Year: 2011 Ex: 3.809106","Age: 95 ex_fr_female$Type: Predicted Year: 2012 Ex: 3.648360","Age: 95 ex_fr_female$Type: Predicted Year: 2013 Ex: 3.716183","Age: 95 ex_fr_female$Type: Predicted Year: 2014 Ex: 3.863962","Age: 95 ex_fr_female$Type: Predicted Year: 2015 Ex: 3.665653","Age: 95 ex_fr_female$Type: Predicted Year: 2016 Ex: 3.736168","Age: 95 ex_fr_female$Type: Predicted Year: 2017 Ex: 3.666514"],"frame":"95","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"96","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[2.94,2.73,2.74,2.81,2.7,2.99,2.67,2.63,3.03,2.75,2.55,2.94,2.85,2.59,2.72,2.55,2.56,2.78,2.68,2.62,2.68,2.38,2.66,2.86,2.48,2.59,2.54,2.57,2.57,2.68,2.33,2.19,2.36,2.35,2.49,2.28,2.34,2.12,2.07,1.88,2.07,2.04,2,2.06,2.22,2.18,2.2,2.2,2.14,2.06,2.16,2.1,2.08,2.11,1.93,1.79,2.28,2.04,2.13,2.03,2.04,2.02,1.99,1.85,2.11,2.27,2.2,2.02,2.13,2.01,1.98,2.03,1.99,2.14,1.98,1.83,1.85,1.86,1.87,1.75,1.98,2.19,2,1.88,1.87,1.97,2,2,1.92,1.84,1.84,1.9,2,1.91,2.01,1.79,2.08,2.07,1.83,1.93,1.87,1.77,1.84,1.77,2.04,1.96,1.87,2.02,2.01,1.86,1.94,1.91,1.93,1.76,2.18,1.88,1.96,1.9,2.14,1.97,2.05,2.07,2.01,1.96,1.58,1.81,1.8,1.87,1.71,1.89,2.15,2.23,2.4,2.03,2.2,1.99,2.18,1.98,2.22,2.16,2.03,2.13,2.24,2.24,2.17,2.33,2.16,2.12,2.35,2.27,2.37,2.32,2.28,2.33,2.36,2.28,2.41,2.34,2.36,2.36,2.35,2.49,2.48,2.51,2.45,2.42,2.53,2.42,2.55,2.5,2.52,2.66,2.68,2.61,2.63,2.7,2.74,2.7,2.82,2.75,2.74,2.77,2.77,2.77,2.81,2.83,2.82,2.68,3.03,2.93,3.07,3.08,3.04,3.04,3.08,3.14,2.98,3.05,3.19,3,3.06,3],"text":["Age: 96 ex_fr_female$Type: Observed Year: 1816 Ex: 2.940000","Age: 96 ex_fr_female$Type: Observed Year: 1817 Ex: 2.730000","Age: 96 ex_fr_female$Type: Observed Year: 1818 Ex: 2.740000","Age: 96 ex_fr_female$Type: Observed Year: 1819 Ex: 2.810000","Age: 96 ex_fr_female$Type: Observed Year: 1820 Ex: 2.700000","Age: 96 ex_fr_female$Type: Observed Year: 1821 Ex: 2.990000","Age: 96 ex_fr_female$Type: Observed Year: 1822 Ex: 2.670000","Age: 96 ex_fr_female$Type: Observed Year: 1823 Ex: 2.630000","Age: 96 ex_fr_female$Type: Observed Year: 1824 Ex: 3.030000","Age: 96 ex_fr_female$Type: Observed Year: 1825 Ex: 2.750000","Age: 96 ex_fr_female$Type: Observed Year: 1826 Ex: 2.550000","Age: 96 ex_fr_female$Type: Observed Year: 1827 Ex: 2.940000","Age: 96 ex_fr_female$Type: Observed Year: 1828 Ex: 2.850000","Age: 96 ex_fr_female$Type: Observed Year: 1829 Ex: 2.590000","Age: 96 ex_fr_female$Type: Observed Year: 1830 Ex: 2.720000","Age: 96 ex_fr_female$Type: Observed Year: 1831 Ex: 2.550000","Age: 96 ex_fr_female$Type: Observed Year: 1832 Ex: 2.560000","Age: 96 ex_fr_female$Type: Observed Year: 1833 Ex: 2.780000","Age: 96 ex_fr_female$Type: Observed Year: 1834 Ex: 2.680000","Age: 96 ex_fr_female$Type: Observed Year: 1835 Ex: 2.620000","Age: 96 ex_fr_female$Type: Observed Year: 1836 Ex: 2.680000","Age: 96 ex_fr_female$Type: Observed Year: 1837 Ex: 2.380000","Age: 96 ex_fr_female$Type: Observed Year: 1838 Ex: 2.660000","Age: 96 ex_fr_female$Type: Observed Year: 1839 Ex: 2.860000","Age: 96 ex_fr_female$Type: Observed Year: 1840 Ex: 2.480000","Age: 96 ex_fr_female$Type: Observed Year: 1841 Ex: 2.590000","Age: 96 ex_fr_female$Type: Observed Year: 1842 Ex: 2.540000","Age: 96 ex_fr_female$Type: Observed Year: 1843 Ex: 2.570000","Age: 96 ex_fr_female$Type: Observed Year: 1844 Ex: 2.570000","Age: 96 ex_fr_female$Type: Observed Year: 1845 Ex: 2.680000","Age: 96 ex_fr_female$Type: Observed Year: 1846 Ex: 2.330000","Age: 96 ex_fr_female$Type: Observed Year: 1847 Ex: 2.190000","Age: 96 ex_fr_female$Type: Observed Year: 1848 Ex: 2.360000","Age: 96 ex_fr_female$Type: Observed Year: 1849 Ex: 2.350000","Age: 96 ex_fr_female$Type: Observed Year: 1850 Ex: 2.490000","Age: 96 ex_fr_female$Type: Observed Year: 1851 Ex: 2.280000","Age: 96 ex_fr_female$Type: Observed Year: 1852 Ex: 2.340000","Age: 96 ex_fr_female$Type: Observed Year: 1853 Ex: 2.120000","Age: 96 ex_fr_female$Type: Observed Year: 1854 Ex: 2.070000","Age: 96 ex_fr_female$Type: Observed Year: 1855 Ex: 1.880000","Age: 96 ex_fr_female$Type: Observed Year: 1856 Ex: 2.070000","Age: 96 ex_fr_female$Type: Observed Year: 1857 Ex: 2.040000","Age: 96 ex_fr_female$Type: Observed Year: 1858 Ex: 2.000000","Age: 96 ex_fr_female$Type: Observed Year: 1859 Ex: 2.060000","Age: 96 ex_fr_female$Type: Observed Year: 1860 Ex: 2.220000","Age: 96 ex_fr_female$Type: Observed Year: 1861 Ex: 2.180000","Age: 96 ex_fr_female$Type: Observed Year: 1862 Ex: 2.200000","Age: 96 ex_fr_female$Type: Observed Year: 1863 Ex: 2.200000","Age: 96 ex_fr_female$Type: Observed Year: 1864 Ex: 2.140000","Age: 96 ex_fr_female$Type: Observed Year: 1865 Ex: 2.060000","Age: 96 ex_fr_female$Type: Observed Year: 1866 Ex: 2.160000","Age: 96 ex_fr_female$Type: Observed Year: 1867 Ex: 2.100000","Age: 96 ex_fr_female$Type: Observed Year: 1868 Ex: 2.080000","Age: 96 ex_fr_female$Type: Observed Year: 1869 Ex: 2.110000","Age: 96 ex_fr_female$Type: Observed Year: 1870 Ex: 1.930000","Age: 96 ex_fr_female$Type: Observed Year: 1871 Ex: 1.790000","Age: 96 ex_fr_female$Type: Observed Year: 1872 Ex: 2.280000","Age: 96 ex_fr_female$Type: Observed Year: 1873 Ex: 2.040000","Age: 96 ex_fr_female$Type: Observed Year: 1874 Ex: 2.130000","Age: 96 ex_fr_female$Type: Observed Year: 1875 Ex: 2.030000","Age: 96 ex_fr_female$Type: Observed Year: 1876 Ex: 2.040000","Age: 96 ex_fr_female$Type: Observed Year: 1877 Ex: 2.020000","Age: 96 ex_fr_female$Type: Observed Year: 1878 Ex: 1.990000","Age: 96 ex_fr_female$Type: Observed Year: 1879 Ex: 1.850000","Age: 96 ex_fr_female$Type: Observed Year: 1880 Ex: 2.110000","Age: 96 ex_fr_female$Type: Observed Year: 1881 Ex: 2.270000","Age: 96 ex_fr_female$Type: Observed Year: 1882 Ex: 2.200000","Age: 96 ex_fr_female$Type: Observed Year: 1883 Ex: 2.020000","Age: 96 ex_fr_female$Type: Observed Year: 1884 Ex: 2.130000","Age: 96 ex_fr_female$Type: Observed Year: 1885 Ex: 2.010000","Age: 96 ex_fr_female$Type: Observed Year: 1886 Ex: 1.980000","Age: 96 ex_fr_female$Type: Observed Year: 1887 Ex: 2.030000","Age: 96 ex_fr_female$Type: Observed Year: 1888 Ex: 1.990000","Age: 96 ex_fr_female$Type: Observed Year: 1889 Ex: 2.140000","Age: 96 ex_fr_female$Type: Observed Year: 1890 Ex: 1.980000","Age: 96 ex_fr_female$Type: Observed Year: 1891 Ex: 1.830000","Age: 96 ex_fr_female$Type: Observed Year: 1892 Ex: 1.850000","Age: 96 ex_fr_female$Type: Observed Year: 1893 Ex: 1.860000","Age: 96 ex_fr_female$Type: Observed Year: 1894 Ex: 1.870000","Age: 96 ex_fr_female$Type: Observed Year: 1895 Ex: 1.750000","Age: 96 ex_fr_female$Type: Observed Year: 1896 Ex: 1.980000","Age: 96 ex_fr_female$Type: Observed Year: 1897 Ex: 2.190000","Age: 96 ex_fr_female$Type: Observed Year: 1898 Ex: 2.000000","Age: 96 ex_fr_female$Type: Observed Year: 1899 Ex: 1.880000","Age: 96 ex_fr_female$Type: Observed Year: 1900 Ex: 1.870000","Age: 96 ex_fr_female$Type: Observed Year: 1901 Ex: 1.970000","Age: 96 ex_fr_female$Type: Observed Year: 1902 Ex: 2.000000","Age: 96 ex_fr_female$Type: Observed Year: 1903 Ex: 2.000000","Age: 96 ex_fr_female$Type: Observed Year: 1904 Ex: 1.920000","Age: 96 ex_fr_female$Type: Observed Year: 1905 Ex: 1.840000","Age: 96 ex_fr_female$Type: Observed Year: 1906 Ex: 1.840000","Age: 96 ex_fr_female$Type: Observed Year: 1907 Ex: 1.900000","Age: 96 ex_fr_female$Type: Observed Year: 1908 Ex: 2.000000","Age: 96 ex_fr_female$Type: Observed Year: 1909 Ex: 1.910000","Age: 96 ex_fr_female$Type: Observed Year: 1910 Ex: 2.010000","Age: 96 ex_fr_female$Type: Observed Year: 1911 Ex: 1.790000","Age: 96 ex_fr_female$Type: Observed Year: 1912 Ex: 2.080000","Age: 96 ex_fr_female$Type: Observed Year: 1913 Ex: 2.070000","Age: 96 ex_fr_female$Type: Observed Year: 1914 Ex: 1.830000","Age: 96 ex_fr_female$Type: Observed Year: 1915 Ex: 1.930000","Age: 96 ex_fr_female$Type: Observed Year: 1916 Ex: 1.870000","Age: 96 ex_fr_female$Type: Observed Year: 1917 Ex: 1.770000","Age: 96 ex_fr_female$Type: Observed Year: 1918 Ex: 1.840000","Age: 96 ex_fr_female$Type: Observed Year: 1919 Ex: 1.770000","Age: 96 ex_fr_female$Type: Observed Year: 1920 Ex: 2.040000","Age: 96 ex_fr_female$Type: Observed Year: 1921 Ex: 1.960000","Age: 96 ex_fr_female$Type: Observed Year: 1922 Ex: 1.870000","Age: 96 ex_fr_female$Type: Observed Year: 1923 Ex: 2.020000","Age: 96 ex_fr_female$Type: Observed Year: 1924 Ex: 2.010000","Age: 96 ex_fr_female$Type: Observed Year: 1925 Ex: 1.860000","Age: 96 ex_fr_female$Type: Observed Year: 1926 Ex: 1.940000","Age: 96 ex_fr_female$Type: Observed Year: 1927 Ex: 1.910000","Age: 96 ex_fr_female$Type: Observed Year: 1928 Ex: 1.930000","Age: 96 ex_fr_female$Type: Observed Year: 1929 Ex: 1.760000","Age: 96 ex_fr_female$Type: Observed Year: 1930 Ex: 2.180000","Age: 96 ex_fr_female$Type: Observed Year: 1931 Ex: 1.880000","Age: 96 ex_fr_female$Type: Observed Year: 1932 Ex: 1.960000","Age: 96 ex_fr_female$Type: Observed Year: 1933 Ex: 1.900000","Age: 96 ex_fr_female$Type: Observed Year: 1934 Ex: 2.140000","Age: 96 ex_fr_female$Type: Observed Year: 1935 Ex: 1.970000","Age: 96 ex_fr_female$Type: Observed Year: 1936 Ex: 2.050000","Age: 96 ex_fr_female$Type: Observed Year: 1937 Ex: 2.070000","Age: 96 ex_fr_female$Type: Observed Year: 1938 Ex: 2.010000","Age: 96 ex_fr_female$Type: Observed Year: 1939 Ex: 1.960000","Age: 96 ex_fr_female$Type: Observed Year: 1940 Ex: 1.580000","Age: 96 ex_fr_female$Type: Observed Year: 1941 Ex: 1.810000","Age: 96 ex_fr_female$Type: Observed Year: 1942 Ex: 1.800000","Age: 96 ex_fr_female$Type: Observed Year: 1943 Ex: 1.870000","Age: 96 ex_fr_female$Type: Observed Year: 1944 Ex: 1.710000","Age: 96 ex_fr_female$Type: Observed Year: 1945 Ex: 1.890000","Age: 96 ex_fr_female$Type: Observed Year: 1946 Ex: 2.150000","Age: 96 ex_fr_female$Type: Observed Year: 1947 Ex: 2.230000","Age: 96 ex_fr_female$Type: Observed Year: 1948 Ex: 2.400000","Age: 96 ex_fr_female$Type: Observed Year: 1949 Ex: 2.030000","Age: 96 ex_fr_female$Type: Observed Year: 1950 Ex: 2.200000","Age: 96 ex_fr_female$Type: Observed Year: 1951 Ex: 1.990000","Age: 96 ex_fr_female$Type: Observed Year: 1952 Ex: 2.180000","Age: 96 ex_fr_female$Type: Observed Year: 1953 Ex: 1.980000","Age: 96 ex_fr_female$Type: Observed Year: 1954 Ex: 2.220000","Age: 96 ex_fr_female$Type: Observed Year: 1955 Ex: 2.160000","Age: 96 ex_fr_female$Type: Observed Year: 1956 Ex: 2.030000","Age: 96 ex_fr_female$Type: Observed Year: 1957 Ex: 2.130000","Age: 96 ex_fr_female$Type: Observed Year: 1958 Ex: 2.240000","Age: 96 ex_fr_female$Type: Observed Year: 1959 Ex: 2.240000","Age: 96 ex_fr_female$Type: Observed Year: 1960 Ex: 2.170000","Age: 96 ex_fr_female$Type: Observed Year: 1961 Ex: 2.330000","Age: 96 ex_fr_female$Type: Observed Year: 1962 Ex: 2.160000","Age: 96 ex_fr_female$Type: Observed Year: 1963 Ex: 2.120000","Age: 96 ex_fr_female$Type: Observed Year: 1964 Ex: 2.350000","Age: 96 ex_fr_female$Type: Observed Year: 1965 Ex: 2.270000","Age: 96 ex_fr_female$Type: Observed Year: 1966 Ex: 2.370000","Age: 96 ex_fr_female$Type: Observed Year: 1967 Ex: 2.320000","Age: 96 ex_fr_female$Type: Observed Year: 1968 Ex: 2.280000","Age: 96 ex_fr_female$Type: Observed Year: 1969 Ex: 2.330000","Age: 96 ex_fr_female$Type: Observed Year: 1970 Ex: 2.360000","Age: 96 ex_fr_female$Type: Observed Year: 1971 Ex: 2.280000","Age: 96 ex_fr_female$Type: Observed Year: 1972 Ex: 2.410000","Age: 96 ex_fr_female$Type: Observed Year: 1973 Ex: 2.340000","Age: 96 ex_fr_female$Type: Observed Year: 1974 Ex: 2.360000","Age: 96 ex_fr_female$Type: Observed Year: 1975 Ex: 2.360000","Age: 96 ex_fr_female$Type: Observed Year: 1976 Ex: 2.350000","Age: 96 ex_fr_female$Type: Observed Year: 1977 Ex: 2.490000","Age: 96 ex_fr_female$Type: Observed Year: 1978 Ex: 2.480000","Age: 96 ex_fr_female$Type: Observed Year: 1979 Ex: 2.510000","Age: 96 ex_fr_female$Type: Observed Year: 1980 Ex: 2.450000","Age: 96 ex_fr_female$Type: Observed Year: 1981 Ex: 2.420000","Age: 96 ex_fr_female$Type: Observed Year: 1982 Ex: 2.530000","Age: 96 ex_fr_female$Type: Observed Year: 1983 Ex: 2.420000","Age: 96 ex_fr_female$Type: Observed Year: 1984 Ex: 2.550000","Age: 96 ex_fr_female$Type: Observed Year: 1985 Ex: 2.500000","Age: 96 ex_fr_female$Type: Observed Year: 1986 Ex: 2.520000","Age: 96 ex_fr_female$Type: Observed Year: 1987 Ex: 2.660000","Age: 96 ex_fr_female$Type: Observed Year: 1988 Ex: 2.680000","Age: 96 ex_fr_female$Type: Observed Year: 1989 Ex: 2.610000","Age: 96 ex_fr_female$Type: Observed Year: 1990 Ex: 2.630000","Age: 96 ex_fr_female$Type: Observed Year: 1991 Ex: 2.700000","Age: 96 ex_fr_female$Type: Observed Year: 1992 Ex: 2.740000","Age: 96 ex_fr_female$Type: Observed Year: 1993 Ex: 2.700000","Age: 96 ex_fr_female$Type: Observed Year: 1994 Ex: 2.820000","Age: 96 ex_fr_female$Type: Observed Year: 1995 Ex: 2.750000","Age: 96 ex_fr_female$Type: Observed Year: 1996 Ex: 2.740000","Age: 96 ex_fr_female$Type: Observed Year: 1997 Ex: 2.770000","Age: 96 ex_fr_female$Type: Observed Year: 1998 Ex: 2.770000","Age: 96 ex_fr_female$Type: Observed Year: 1999 Ex: 2.770000","Age: 96 ex_fr_female$Type: Observed Year: 2000 Ex: 2.810000","Age: 96 ex_fr_female$Type: Observed Year: 2001 Ex: 2.830000","Age: 96 ex_fr_female$Type: Observed Year: 2002 Ex: 2.820000","Age: 96 ex_fr_female$Type: Observed Year: 2003 Ex: 2.680000","Age: 96 ex_fr_female$Type: Observed Year: 2004 Ex: 3.030000","Age: 96 ex_fr_female$Type: Observed Year: 2005 Ex: 2.930000","Age: 96 ex_fr_female$Type: Observed Year: 2006 Ex: 3.070000","Age: 96 ex_fr_female$Type: Observed Year: 2007 Ex: 3.080000","Age: 96 ex_fr_female$Type: Observed Year: 2008 Ex: 3.040000","Age: 96 ex_fr_female$Type: Observed Year: 2009 Ex: 3.040000","Age: 96 ex_fr_female$Type: Observed Year: 2010 Ex: 3.080000","Age: 96 ex_fr_female$Type: Observed Year: 2011 Ex: 3.140000","Age: 96 ex_fr_female$Type: Observed Year: 2012 Ex: 2.980000","Age: 96 ex_fr_female$Type: Observed Year: 2013 Ex: 3.050000","Age: 96 ex_fr_female$Type: Observed Year: 2014 Ex: 3.190000","Age: 96 ex_fr_female$Type: Observed Year: 2015 Ex: 3.000000","Age: 96 ex_fr_female$Type: Observed Year: 2016 Ex: 3.060000","Age: 96 ex_fr_female$Type: Observed Year: 2017 Ex: 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96 ex_fr_female$Type: Predicted Year: 1816 Ex: 3.405475","Age: 96 ex_fr_female$Type: Predicted Year: 1817 Ex: 3.186775","Age: 96 ex_fr_female$Type: Predicted Year: 1818 Ex: 3.202407","Age: 96 ex_fr_female$Type: Predicted Year: 1819 Ex: 3.271896","Age: 96 ex_fr_female$Type: Predicted Year: 1820 Ex: 3.160526","Age: 96 ex_fr_female$Type: Predicted Year: 1821 Ex: 3.449541","Age: 96 ex_fr_female$Type: Predicted Year: 1822 Ex: 3.124285","Age: 96 ex_fr_female$Type: Predicted Year: 1823 Ex: 3.085028","Age: 96 ex_fr_female$Type: Predicted Year: 1824 Ex: 3.486276","Age: 96 ex_fr_female$Type: Predicted Year: 1825 Ex: 3.210839","Age: 96 ex_fr_female$Type: Predicted Year: 1826 Ex: 3.011761","Age: 96 ex_fr_female$Type: Predicted Year: 1827 Ex: 3.402116","Age: 96 ex_fr_female$Type: Predicted Year: 1828 Ex: 3.309321","Age: 96 ex_fr_female$Type: Predicted Year: 1829 Ex: 3.053903","Age: 96 ex_fr_female$Type: Predicted Year: 1830 Ex: 3.184791","Age: 96 ex_fr_female$Type: Predicted Year: 1831 Ex: 3.014164","Age: 96 ex_fr_female$Type: Predicted Year: 1832 Ex: 3.019813","Age: 96 ex_fr_female$Type: Predicted Year: 1833 Ex: 3.238637","Age: 96 ex_fr_female$Type: Predicted Year: 1834 Ex: 3.136231","Age: 96 ex_fr_female$Type: Predicted Year: 1835 Ex: 3.076067","Age: 96 ex_fr_female$Type: Predicted Year: 1836 Ex: 3.138856","Age: 96 ex_fr_female$Type: Predicted Year: 1837 Ex: 2.850348","Age: 96 ex_fr_female$Type: Predicted Year: 1838 Ex: 3.120597","Age: 96 ex_fr_female$Type: Predicted Year: 1839 Ex: 3.319359","Age: 96 ex_fr_female$Type: Predicted Year: 1840 Ex: 2.936046","Age: 96 ex_fr_female$Type: Predicted Year: 1841 Ex: 3.051116","Age: 96 ex_fr_female$Type: Predicted Year: 1842 Ex: 2.996902","Age: 96 ex_fr_female$Type: Predicted Year: 1843 Ex: 3.027491","Age: 96 ex_fr_female$Type: Predicted Year: 1844 Ex: 3.027096","Age: 96 ex_fr_female$Type: Predicted Year: 1845 Ex: 3.141625","Age: 96 ex_fr_female$Type: Predicted Year: 1846 Ex: 2.793484","Age: 96 ex_fr_female$Type: Predicted Year: 1847 Ex: 2.656044","Age: 96 ex_fr_female$Type: Predicted Year: 1848 Ex: 2.823322","Age: 96 ex_fr_female$Type: Predicted Year: 1849 Ex: 2.816702","Age: 96 ex_fr_female$Type: Predicted Year: 1850 Ex: 2.948830","Age: 96 ex_fr_female$Type: Predicted Year: 1851 Ex: 2.744302","Age: 96 ex_fr_female$Type: Predicted Year: 1852 Ex: 2.800453","Age: 96 ex_fr_female$Type: Predicted Year: 1853 Ex: 2.580268","Age: 96 ex_fr_female$Type: Predicted Year: 1854 Ex: 2.536127","Age: 96 ex_fr_female$Type: Predicted Year: 1855 Ex: 2.346582","Age: 96 ex_fr_female$Type: Predicted Year: 1856 Ex: 2.527874","Age: 96 ex_fr_female$Type: Predicted Year: 1857 Ex: 2.506691","Age: 96 ex_fr_female$Type: Predicted Year: 1858 Ex: 2.460983","Age: 96 ex_fr_female$Type: Predicted Year: 1859 Ex: 2.529126","Age: 96 ex_fr_female$Type: Predicted Year: 1860 Ex: 2.677351","Age: 96 ex_fr_female$Type: Predicted Year: 1861 Ex: 2.639632","Age: 96 ex_fr_female$Type: Predicted Year: 1862 Ex: 2.658083","Age: 96 ex_fr_female$Type: Predicted Year: 1863 Ex: 2.658181","Age: 96 ex_fr_female$Type: Predicted Year: 1864 Ex: 2.600434","Age: 96 ex_fr_female$Type: Predicted Year: 1865 Ex: 2.519568","Age: 96 ex_fr_female$Type: Predicted Year: 1866 Ex: 2.623502","Age: 96 ex_fr_female$Type: Predicted Year: 1867 Ex: 2.566327","Age: 96 ex_fr_female$Type: Predicted Year: 1868 Ex: 2.542049","Age: 96 ex_fr_female$Type: Predicted Year: 1869 Ex: 2.569430","Age: 96 ex_fr_female$Type: Predicted Year: 1870 Ex: 2.400053","Age: 96 ex_fr_female$Type: Predicted Year: 1871 Ex: 2.259832","Age: 96 ex_fr_female$Type: Predicted Year: 1872 Ex: 2.737984","Age: 96 ex_fr_female$Type: Predicted Year: 1873 Ex: 2.501350","Age: 96 ex_fr_female$Type: Predicted Year: 1874 Ex: 2.585853","Age: 96 ex_fr_female$Type: Predicted Year: 1875 Ex: 2.491041","Age: 96 ex_fr_female$Type: Predicted Year: 1876 Ex: 2.499729","Age: 96 ex_fr_female$Type: Predicted Year: 1877 Ex: 2.483620","Age: 96 ex_fr_female$Type: Predicted Year: 1878 Ex: 2.454527","Age: 96 ex_fr_female$Type: Predicted Year: 1879 Ex: 2.316738","Age: 96 ex_fr_female$Type: Predicted Year: 1880 Ex: 2.572838","Age: 96 ex_fr_female$Type: Predicted Year: 1881 Ex: 2.734351","Age: 96 ex_fr_female$Type: Predicted Year: 1882 Ex: 2.664537","Age: 96 ex_fr_female$Type: Predicted Year: 1883 Ex: 2.484512","Age: 96 ex_fr_female$Type: Predicted Year: 1884 Ex: 2.592607","Age: 96 ex_fr_female$Type: Predicted Year: 1885 Ex: 2.473482","Age: 96 ex_fr_female$Type: Predicted Year: 1886 Ex: 2.440689","Age: 96 ex_fr_female$Type: Predicted Year: 1887 Ex: 2.491775","Age: 96 ex_fr_female$Type: Predicted Year: 1888 Ex: 2.457293","Age: 96 ex_fr_female$Type: Predicted Year: 1889 Ex: 2.599030","Age: 96 ex_fr_female$Type: Predicted Year: 1890 Ex: 2.439445","Age: 96 ex_fr_female$Type: Predicted Year: 1891 Ex: 2.297441","Age: 96 ex_fr_female$Type: Predicted Year: 1892 Ex: 2.320365","Age: 96 ex_fr_female$Type: Predicted Year: 1893 Ex: 2.320806","Age: 96 ex_fr_female$Type: Predicted Year: 1894 Ex: 2.337207","Age: 96 ex_fr_female$Type: Predicted Year: 1895 Ex: 2.214936","Age: 96 ex_fr_female$Type: Predicted Year: 1896 Ex: 2.438039","Age: 96 ex_fr_female$Type: Predicted Year: 1897 Ex: 2.648092","Age: 96 ex_fr_female$Type: Predicted Year: 1898 Ex: 2.461349","Age: 96 ex_fr_female$Type: Predicted Year: 1899 Ex: 2.348450","Age: 96 ex_fr_female$Type: Predicted Year: 1900 Ex: 2.341486","Age: 96 ex_fr_female$Type: Predicted Year: 1901 Ex: 2.433373","Age: 96 ex_fr_female$Type: Predicted Year: 1902 Ex: 2.466449","Age: 96 ex_fr_female$Type: Predicted Year: 1903 Ex: 2.464773","Age: 96 ex_fr_female$Type: Predicted Year: 1904 Ex: 2.387152","Age: 96 ex_fr_female$Type: Predicted Year: 1905 Ex: 2.306692","Age: 96 ex_fr_female$Type: Predicted Year: 1906 Ex: 2.308333","Age: 96 ex_fr_female$Type: Predicted Year: 1907 Ex: 2.361354","Age: 96 ex_fr_female$Type: Predicted Year: 1908 Ex: 2.462588","Age: 96 ex_fr_female$Type: Predicted Year: 1909 Ex: 2.378072","Age: 96 ex_fr_female$Type: Predicted Year: 1910 Ex: 2.468146","Age: 96 ex_fr_female$Type: Predicted Year: 1911 Ex: 2.251886","Age: 96 ex_fr_female$Type: Predicted Year: 1912 Ex: 2.538118","Age: 96 ex_fr_female$Type: Predicted Year: 1913 Ex: 2.530850","Age: 96 ex_fr_female$Type: Predicted Year: 1914 Ex: 2.296562","Age: 96 ex_fr_female$Type: Predicted Year: 1915 Ex: 2.390354","Age: 96 ex_fr_female$Type: Predicted Year: 1916 Ex: 2.332841","Age: 96 ex_fr_female$Type: Predicted Year: 1917 Ex: 2.233928","Age: 96 ex_fr_female$Type: Predicted Year: 1918 Ex: 2.309456","Age: 96 ex_fr_female$Type: Predicted Year: 1919 Ex: 2.233436","Age: 96 ex_fr_female$Type: Predicted Year: 1920 Ex: 2.499009","Age: 96 ex_fr_female$Type: Predicted Year: 1921 Ex: 2.418990","Age: 96 ex_fr_female$Type: Predicted Year: 1922 Ex: 2.335505","Age: 96 ex_fr_female$Type: Predicted Year: 1923 Ex: 2.479215","Age: 96 ex_fr_female$Type: Predicted Year: 1924 Ex: 2.474793","Age: 96 ex_fr_female$Type: Predicted Year: 1925 Ex: 2.324076","Age: 96 ex_fr_female$Type: Predicted Year: 1926 Ex: 2.398281","Age: 96 ex_fr_female$Type: Predicted Year: 1927 Ex: 2.373811","Age: 96 ex_fr_female$Type: Predicted Year: 1928 Ex: 2.392530","Age: 96 ex_fr_female$Type: Predicted Year: 1929 Ex: 2.223942","Age: 96 ex_fr_female$Type: Predicted Year: 1930 Ex: 2.630878","Age: 96 ex_fr_female$Type: Predicted Year: 1931 Ex: 2.346009","Age: 96 ex_fr_female$Type: Predicted Year: 1932 Ex: 2.417772","Age: 96 ex_fr_female$Type: Predicted Year: 1933 Ex: 2.362872","Age: 96 ex_fr_female$Type: Predicted Year: 1934 Ex: 2.591953","Age: 96 ex_fr_female$Type: Predicted Year: 1935 Ex: 2.433763","Age: 96 ex_fr_female$Type: Predicted Year: 1936 Ex: 2.509471","Age: 96 ex_fr_female$Type: Predicted Year: 1937 Ex: 2.523075","Age: 96 ex_fr_female$Type: Predicted Year: 1938 Ex: 2.470563","Age: 96 ex_fr_female$Type: Predicted Year: 1939 Ex: 2.422105","Age: 96 ex_fr_female$Type: Predicted Year: 1940 Ex: 2.048441","Age: 96 ex_fr_female$Type: Predicted Year: 1941 Ex: 2.271823","Age: 96 ex_fr_female$Type: Predicted Year: 1942 Ex: 2.265953","Age: 96 ex_fr_female$Type: Predicted Year: 1943 Ex: 2.335868","Age: 96 ex_fr_female$Type: Predicted Year: 1944 Ex: 2.172407","Age: 96 ex_fr_female$Type: Predicted Year: 1945 Ex: 2.355469","Age: 96 ex_fr_female$Type: Predicted Year: 1946 Ex: 2.603553","Age: 96 ex_fr_female$Type: Predicted Year: 1947 Ex: 2.680790","Age: 96 ex_fr_female$Type: Predicted Year: 1948 Ex: 2.851238","Age: 96 ex_fr_female$Type: Predicted Year: 1949 Ex: 2.488921","Age: 96 ex_fr_female$Type: Predicted Year: 1950 Ex: 2.649189","Age: 96 ex_fr_female$Type: Predicted Year: 1951 Ex: 2.445630","Age: 96 ex_fr_female$Type: Predicted Year: 1952 Ex: 2.633911","Age: 96 ex_fr_female$Type: Predicted Year: 1953 Ex: 2.441561","Age: 96 ex_fr_female$Type: Predicted Year: 1954 Ex: 2.668256","Age: 96 ex_fr_female$Type: Predicted Year: 1955 Ex: 2.615814","Age: 96 ex_fr_female$Type: Predicted Year: 1956 Ex: 2.489356","Age: 96 ex_fr_female$Type: Predicted Year: 1957 Ex: 2.578527","Age: 96 ex_fr_female$Type: Predicted Year: 1958 Ex: 2.688743","Age: 96 ex_fr_female$Type: Predicted Year: 1959 Ex: 2.690539","Age: 96 ex_fr_female$Type: Predicted Year: 1960 Ex: 2.616597","Age: 96 ex_fr_female$Type: Predicted Year: 1961 Ex: 2.774028","Age: 96 ex_fr_female$Type: Predicted Year: 1962 Ex: 2.611190","Age: 96 ex_fr_female$Type: Predicted Year: 1963 Ex: 2.568308","Age: 96 ex_fr_female$Type: Predicted Year: 1964 Ex: 2.793109","Age: 96 ex_fr_female$Type: Predicted Year: 1965 Ex: 2.712429","Age: 96 ex_fr_female$Type: Predicted Year: 1966 Ex: 2.814746","Age: 96 ex_fr_female$Type: Predicted Year: 1967 Ex: 2.763027","Age: 96 ex_fr_female$Type: Predicted Year: 1968 Ex: 2.721276","Age: 96 ex_fr_female$Type: Predicted Year: 1969 Ex: 2.778951","Age: 96 ex_fr_female$Type: Predicted Year: 1970 Ex: 2.802619","Age: 96 ex_fr_female$Type: Predicted Year: 1971 Ex: 2.724476","Age: 96 ex_fr_female$Type: Predicted Year: 1972 Ex: 2.855461","Age: 96 ex_fr_female$Type: Predicted Year: 1973 Ex: 2.787489","Age: 96 ex_fr_female$Type: Predicted Year: 1974 Ex: 2.806647","Age: 96 ex_fr_female$Type: Predicted Year: 1975 Ex: 2.797555","Age: 96 ex_fr_female$Type: Predicted Year: 1976 Ex: 2.796150","Age: 96 ex_fr_female$Type: Predicted Year: 1977 Ex: 2.930278","Age: 96 ex_fr_female$Type: Predicted Year: 1978 Ex: 2.915326","Age: 96 ex_fr_female$Type: Predicted Year: 1979 Ex: 2.952051","Age: 96 ex_fr_female$Type: Predicted Year: 1980 Ex: 2.892359","Age: 96 ex_fr_female$Type: Predicted Year: 1981 Ex: 2.859041","Age: 96 ex_fr_female$Type: Predicted Year: 1982 Ex: 2.965567","Age: 96 ex_fr_female$Type: Predicted Year: 1983 Ex: 2.858239","Age: 96 ex_fr_female$Type: Predicted Year: 1984 Ex: 2.981391","Age: 96 ex_fr_female$Type: Predicted Year: 1985 Ex: 2.931572","Age: 96 ex_fr_female$Type: Predicted Year: 1986 Ex: 2.955260","Age: 96 ex_fr_female$Type: Predicted Year: 1987 Ex: 3.085790","Age: 96 ex_fr_female$Type: Predicted Year: 1988 Ex: 3.104603","Age: 96 ex_fr_female$Type: Predicted Year: 1989 Ex: 3.039359","Age: 96 ex_fr_female$Type: Predicted Year: 1990 Ex: 3.054645","Age: 96 ex_fr_female$Type: Predicted Year: 1991 Ex: 3.127107","Age: 96 ex_fr_female$Type: Predicted Year: 1992 Ex: 3.161372","Age: 96 ex_fr_female$Type: Predicted Year: 1993 Ex: 3.126080","Age: 96 ex_fr_female$Type: Predicted Year: 1994 Ex: 3.239945","Age: 96 ex_fr_female$Type: Predicted Year: 1995 Ex: 3.174893","Age: 96 ex_fr_female$Type: Predicted Year: 1996 Ex: 3.167832","Age: 96 ex_fr_female$Type: Predicted Year: 1997 Ex: 3.194096","Age: 96 ex_fr_female$Type: Predicted Year: 1998 Ex: 3.195161","Age: 96 ex_fr_female$Type: Predicted Year: 1999 Ex: 3.188266","Age: 96 ex_fr_female$Type: Predicted Year: 2000 Ex: 3.233751","Age: 96 ex_fr_female$Type: Predicted Year: 2001 Ex: 3.251748","Age: 96 ex_fr_female$Type: Predicted Year: 2002 Ex: 3.242235","Age: 96 ex_fr_female$Type: Predicted Year: 2003 Ex: 3.107817","Age: 96 ex_fr_female$Type: Predicted Year: 2004 Ex: 3.448448","Age: 96 ex_fr_female$Type: Predicted Year: 2005 Ex: 3.344779","Age: 96 ex_fr_female$Type: Predicted Year: 2006 Ex: 3.480789","Age: 96 ex_fr_female$Type: Predicted Year: 2007 Ex: 3.492838","Age: 96 ex_fr_female$Type: Predicted Year: 2008 Ex: 3.449422","Age: 96 ex_fr_female$Type: Predicted Year: 2009 Ex: 3.449449","Age: 96 ex_fr_female$Type: Predicted Year: 2010 Ex: 3.488548","Age: 96 ex_fr_female$Type: Predicted Year: 2011 Ex: 3.548550","Age: 96 ex_fr_female$Type: Predicted Year: 2012 Ex: 3.396882","Age: 96 ex_fr_female$Type: Predicted Year: 2013 Ex: 3.458392","Age: 96 ex_fr_female$Type: Predicted Year: 2014 Ex: 3.594561","Age: 96 ex_fr_female$Type: Predicted Year: 2015 Ex: 3.407879","Age: 96 ex_fr_female$Type: Predicted Year: 2016 Ex: 3.472376","Age: 96 ex_fr_female$Type: Predicted Year: 2017 Ex: 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ex_fr_female$Type: Observed Year: 1832 Ex: 2.470000","Age: 97 ex_fr_female$Type: Observed Year: 1833 Ex: 2.680000","Age: 97 ex_fr_female$Type: Observed Year: 1834 Ex: 2.590000","Age: 97 ex_fr_female$Type: Observed Year: 1835 Ex: 2.520000","Age: 97 ex_fr_female$Type: Observed Year: 1836 Ex: 2.580000","Age: 97 ex_fr_female$Type: Observed Year: 1837 Ex: 2.310000","Age: 97 ex_fr_female$Type: Observed Year: 1838 Ex: 2.570000","Age: 97 ex_fr_female$Type: Observed Year: 1839 Ex: 2.760000","Age: 97 ex_fr_female$Type: Observed Year: 1840 Ex: 2.390000","Age: 97 ex_fr_female$Type: Observed Year: 1841 Ex: 2.500000","Age: 97 ex_fr_female$Type: Observed Year: 1842 Ex: 2.450000","Age: 97 ex_fr_female$Type: Observed Year: 1843 Ex: 2.480000","Age: 97 ex_fr_female$Type: Observed Year: 1844 Ex: 2.480000","Age: 97 ex_fr_female$Type: Observed Year: 1845 Ex: 2.590000","Age: 97 ex_fr_female$Type: Observed Year: 1846 Ex: 2.240000","Age: 97 ex_fr_female$Type: Observed Year: 1847 Ex: 2.110000","Age: 97 ex_fr_female$Type: Observed Year: 1848 Ex: 2.270000","Age: 97 ex_fr_female$Type: Observed Year: 1849 Ex: 2.270000","Age: 97 ex_fr_female$Type: Observed Year: 1850 Ex: 2.400000","Age: 97 ex_fr_female$Type: Observed Year: 1851 Ex: 2.190000","Age: 97 ex_fr_female$Type: Observed Year: 1852 Ex: 2.250000","Age: 97 ex_fr_female$Type: Observed Year: 1853 Ex: 2.030000","Age: 97 ex_fr_female$Type: Observed Year: 1854 Ex: 1.990000","Age: 97 ex_fr_female$Type: Observed Year: 1855 Ex: 1.800000","Age: 97 ex_fr_female$Type: Observed Year: 1856 Ex: 1.980000","Age: 97 ex_fr_female$Type: Observed Year: 1857 Ex: 1.960000","Age: 97 ex_fr_female$Type: Observed Year: 1858 Ex: 1.920000","Age: 97 ex_fr_female$Type: Observed Year: 1859 Ex: 1.980000","Age: 97 ex_fr_female$Type: Observed Year: 1860 Ex: 2.130000","Age: 97 ex_fr_female$Type: Observed Year: 1861 Ex: 2.090000","Age: 97 ex_fr_female$Type: Observed Year: 1862 Ex: 2.110000","Age: 97 ex_fr_female$Type: Observed Year: 1863 Ex: 2.110000","Age: 97 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ex_fr_female$Type: Observed Year: 1880 Ex: 2.020000","Age: 97 ex_fr_female$Type: Observed Year: 1881 Ex: 2.180000","Age: 97 ex_fr_female$Type: Observed Year: 1882 Ex: 2.110000","Age: 97 ex_fr_female$Type: Observed Year: 1883 Ex: 1.930000","Age: 97 ex_fr_female$Type: Observed Year: 1884 Ex: 2.040000","Age: 97 ex_fr_female$Type: Observed Year: 1885 Ex: 1.920000","Age: 97 ex_fr_female$Type: Observed Year: 1886 Ex: 1.890000","Age: 97 ex_fr_female$Type: Observed Year: 1887 Ex: 1.940000","Age: 97 ex_fr_female$Type: Observed Year: 1888 Ex: 1.910000","Age: 97 ex_fr_female$Type: Observed Year: 1889 Ex: 2.040000","Age: 97 ex_fr_female$Type: Observed Year: 1890 Ex: 1.890000","Age: 97 ex_fr_female$Type: Observed Year: 1891 Ex: 1.750000","Age: 97 ex_fr_female$Type: Observed Year: 1892 Ex: 1.780000","Age: 97 ex_fr_female$Type: Observed Year: 1893 Ex: 1.780000","Age: 97 ex_fr_female$Type: Observed Year: 1894 Ex: 1.790000","Age: 97 ex_fr_female$Type: Observed Year: 1895 Ex: 1.670000","Age: 97 ex_fr_female$Type: Observed Year: 1896 Ex: 1.890000","Age: 97 ex_fr_female$Type: Observed Year: 1897 Ex: 2.090000","Age: 97 ex_fr_female$Type: Observed Year: 1898 Ex: 1.910000","Age: 97 ex_fr_female$Type: Observed Year: 1899 Ex: 1.800000","Age: 97 ex_fr_female$Type: Observed Year: 1900 Ex: 1.800000","Age: 97 ex_fr_female$Type: Observed Year: 1901 Ex: 1.880000","Age: 97 ex_fr_female$Type: Observed Year: 1902 Ex: 1.920000","Age: 97 ex_fr_female$Type: Observed Year: 1903 Ex: 1.910000","Age: 97 ex_fr_female$Type: Observed Year: 1904 Ex: 1.840000","Age: 97 ex_fr_female$Type: Observed Year: 1905 Ex: 1.760000","Age: 97 ex_fr_female$Type: Observed Year: 1906 Ex: 1.760000","Age: 97 ex_fr_female$Type: Observed Year: 1907 Ex: 1.820000","Age: 97 ex_fr_female$Type: Observed Year: 1908 Ex: 1.910000","Age: 97 ex_fr_female$Type: Observed Year: 1909 Ex: 1.830000","Age: 97 ex_fr_female$Type: Observed Year: 1910 Ex: 1.920000","Age: 97 ex_fr_female$Type: Observed Year: 1911 Ex: 1.710000","Age: 97 ex_fr_female$Type: Observed Year: 1912 Ex: 1.980000","Age: 97 ex_fr_female$Type: Observed Year: 1913 Ex: 1.980000","Age: 97 ex_fr_female$Type: Observed Year: 1914 Ex: 1.750000","Age: 97 ex_fr_female$Type: Observed Year: 1915 Ex: 1.840000","Age: 97 ex_fr_female$Type: Observed Year: 1916 Ex: 1.790000","Age: 97 ex_fr_female$Type: Observed Year: 1917 Ex: 1.690000","Age: 97 ex_fr_female$Type: Observed Year: 1918 Ex: 1.760000","Age: 97 ex_fr_female$Type: Observed Year: 1919 Ex: 1.690000","Age: 97 ex_fr_female$Type: Observed Year: 1920 Ex: 1.940000","Age: 97 ex_fr_female$Type: Observed Year: 1921 Ex: 1.870000","Age: 97 ex_fr_female$Type: Observed Year: 1922 Ex: 1.790000","Age: 97 ex_fr_female$Type: Observed Year: 1923 Ex: 1.920000","Age: 97 ex_fr_female$Type: Observed Year: 1924 Ex: 1.920000","Age: 97 ex_fr_female$Type: Observed Year: 1925 Ex: 1.770000","Age: 97 ex_fr_female$Type: Observed Year: 1926 Ex: 1.850000","Age: 97 ex_fr_female$Type: Observed Year: 1927 Ex: 1.820000","Age: 97 ex_fr_female$Type: Observed Year: 1928 Ex: 1.840000","Age: 97 ex_fr_female$Type: Observed Year: 1929 Ex: 1.680000","Age: 97 ex_fr_female$Type: Observed Year: 1930 Ex: 2.070000","Age: 97 ex_fr_female$Type: Observed Year: 1931 Ex: 1.800000","Age: 97 ex_fr_female$Type: Observed Year: 1932 Ex: 1.860000","Age: 97 ex_fr_female$Type: Observed Year: 1933 Ex: 1.810000","Age: 97 ex_fr_female$Type: Observed Year: 1934 Ex: 2.030000","Age: 97 ex_fr_female$Type: Observed Year: 1935 Ex: 1.880000","Age: 97 ex_fr_female$Type: Observed Year: 1936 Ex: 1.950000","Age: 97 ex_fr_female$Type: Observed Year: 1937 Ex: 1.960000","Age: 97 ex_fr_female$Type: Observed Year: 1938 Ex: 1.910000","Age: 97 ex_fr_female$Type: Observed Year: 1939 Ex: 1.870000","Age: 97 ex_fr_female$Type: Observed Year: 1940 Ex: 1.510000","Age: 97 ex_fr_female$Type: Observed Year: 1941 Ex: 1.720000","Age: 97 ex_fr_female$Type: Observed Year: 1942 Ex: 1.720000","Age: 97 ex_fr_female$Type: Observed Year: 1943 Ex: 1.780000","Age: 97 ex_fr_female$Type: Observed Year: 1944 Ex: 1.630000","Age: 97 ex_fr_female$Type: Observed Year: 1945 Ex: 1.800000","Age: 97 ex_fr_female$Type: Observed Year: 1946 Ex: 2.040000","Age: 97 ex_fr_female$Type: Observed Year: 1947 Ex: 2.110000","Age: 97 ex_fr_female$Type: Observed Year: 1948 Ex: 2.280000","Age: 97 ex_fr_female$Type: Observed Year: 1949 Ex: 1.930000","Age: 97 ex_fr_female$Type: Observed Year: 1950 Ex: 2.080000","Age: 97 ex_fr_female$Type: Observed Year: 1951 Ex: 1.890000","Age: 97 ex_fr_female$Type: Observed Year: 1952 Ex: 2.070000","Age: 97 ex_fr_female$Type: Observed Year: 1953 Ex: 1.880000","Age: 97 ex_fr_female$Type: Observed Year: 1954 Ex: 2.100000","Age: 97 ex_fr_female$Type: Observed Year: 1955 Ex: 2.050000","Age: 97 ex_fr_female$Type: Observed Year: 1956 Ex: 1.930000","Age: 97 ex_fr_female$Type: Observed Year: 1957 Ex: 2.010000","Age: 97 ex_fr_female$Type: Observed Year: 1958 Ex: 2.120000","Age: 97 ex_fr_female$Type: Observed Year: 1959 Ex: 2.120000","Age: 97 ex_fr_female$Type: Observed Year: 1960 Ex: 2.050000","Age: 97 ex_fr_female$Type: Observed Year: 1961 Ex: 2.200000","Age: 97 ex_fr_female$Type: Observed Year: 1962 Ex: 2.040000","Age: 97 ex_fr_female$Type: Observed Year: 1963 Ex: 2.000000","Age: 97 ex_fr_female$Type: Observed Year: 1964 Ex: 2.210000","Age: 97 ex_fr_female$Type: Observed Year: 1965 Ex: 2.140000","Age: 97 ex_fr_female$Type: Observed Year: 1966 Ex: 2.230000","Age: 97 ex_fr_female$Type: Observed Year: 1967 Ex: 2.180000","Age: 97 ex_fr_female$Type: Observed Year: 1968 Ex: 2.140000","Age: 97 ex_fr_female$Type: Observed Year: 1969 Ex: 2.200000","Age: 97 ex_fr_female$Type: Observed Year: 1970 Ex: 2.220000","Age: 97 ex_fr_female$Type: Observed Year: 1971 Ex: 2.140000","Age: 97 ex_fr_female$Type: Observed Year: 1972 Ex: 2.270000","Age: 97 ex_fr_female$Type: Observed Year: 1973 Ex: 2.210000","Age: 97 ex_fr_female$Type: Observed Year: 1974 Ex: 2.220000","Age: 97 ex_fr_female$Type: Observed Year: 1975 Ex: 2.210000","Age: 97 ex_fr_female$Type: Observed Year: 1976 Ex: 2.210000","Age: 97 ex_fr_female$Type: Observed Year: 1977 Ex: 2.340000","Age: 97 ex_fr_female$Type: Observed Year: 1978 Ex: 2.320000","Age: 97 ex_fr_female$Type: Observed Year: 1979 Ex: 2.360000","Age: 97 ex_fr_female$Type: Observed Year: 1980 Ex: 2.300000","Age: 97 ex_fr_female$Type: Observed Year: 1981 Ex: 2.270000","Age: 97 ex_fr_female$Type: Observed Year: 1982 Ex: 2.370000","Age: 97 ex_fr_female$Type: Observed Year: 1983 Ex: 2.270000","Age: 97 ex_fr_female$Type: Observed Year: 1984 Ex: 2.380000","Age: 97 ex_fr_female$Type: Observed Year: 1985 Ex: 2.330000","Age: 97 ex_fr_female$Type: Observed Year: 1986 Ex: 2.360000","Age: 97 ex_fr_female$Type: Observed Year: 1987 Ex: 2.480000","Age: 97 ex_fr_female$Type: Observed Year: 1988 Ex: 2.500000","Age: 97 ex_fr_female$Type: Observed Year: 1989 Ex: 2.430000","Age: 97 ex_fr_female$Type: Observed Year: 1990 Ex: 2.440000","Age: 97 ex_fr_female$Type: Observed Year: 1991 Ex: 2.510000","Age: 97 ex_fr_female$Type: Observed Year: 1992 Ex: 2.540000","Age: 97 ex_fr_female$Type: Observed Year: 1993 Ex: 2.510000","Age: 97 ex_fr_female$Type: Observed Year: 1994 Ex: 2.620000","Age: 97 ex_fr_female$Type: Observed Year: 1995 Ex: 2.550000","Age: 97 ex_fr_female$Type: Observed Year: 1996 Ex: 2.550000","Age: 97 ex_fr_female$Type: Observed Year: 1997 Ex: 2.570000","Age: 97 ex_fr_female$Type: Observed Year: 1998 Ex: 2.570000","Age: 97 ex_fr_female$Type: Observed Year: 1999 Ex: 2.570000","Age: 97 ex_fr_female$Type: Observed Year: 2000 Ex: 2.610000","Age: 97 ex_fr_female$Type: Observed Year: 2001 Ex: 2.620000","Age: 97 ex_fr_female$Type: Observed Year: 2002 Ex: 2.610000","Age: 97 ex_fr_female$Type: Observed Year: 2003 Ex: 2.490000","Age: 97 ex_fr_female$Type: Observed Year: 2004 Ex: 2.810000","Age: 97 ex_fr_female$Type: Observed Year: 2005 Ex: 2.710000","Age: 97 ex_fr_female$Type: Observed Year: 2006 Ex: 2.840000","Age: 97 ex_fr_female$Type: Observed Year: 2007 Ex: 2.850000","Age: 97 ex_fr_female$Type: Observed Year: 2008 Ex: 2.810000","Age: 97 ex_fr_female$Type: Observed Year: 2009 Ex: 2.800000","Age: 97 ex_fr_female$Type: Observed Year: 2010 Ex: 2.840000","Age: 97 ex_fr_female$Type: Observed Year: 2011 Ex: 2.900000","Age: 97 ex_fr_female$Type: Observed Year: 2012 Ex: 2.750000","Age: 97 ex_fr_female$Type: Observed Year: 2013 Ex: 2.810000","Age: 97 ex_fr_female$Type: Observed Year: 2014 Ex: 2.940000","Age: 97 ex_fr_female$Type: Observed Year: 2015 Ex: 2.760000","Age: 97 ex_fr_female$Type: Observed Year: 2016 Ex: 2.820000","Age: 97 ex_fr_female$Type: Observed Year: 2017 Ex: 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97 ex_fr_female$Type: Predicted Year: 1816 Ex: 3.322381","Age: 97 ex_fr_female$Type: Predicted Year: 1817 Ex: 3.096499","Age: 97 ex_fr_female$Type: Predicted Year: 1818 Ex: 3.107978","Age: 97 ex_fr_female$Type: Predicted Year: 1819 Ex: 3.178875","Age: 97 ex_fr_female$Type: Predicted Year: 1820 Ex: 3.077555","Age: 97 ex_fr_female$Type: Predicted Year: 1821 Ex: 3.355848","Age: 97 ex_fr_female$Type: Predicted Year: 1822 Ex: 3.031601","Age: 97 ex_fr_female$Type: Predicted Year: 1823 Ex: 2.991386","Age: 97 ex_fr_female$Type: Predicted Year: 1824 Ex: 3.392127","Age: 97 ex_fr_female$Type: Predicted Year: 1825 Ex: 3.116577","Age: 97 ex_fr_female$Type: Predicted Year: 1826 Ex: 2.924734","Age: 97 ex_fr_female$Type: Predicted Year: 1827 Ex: 3.309414","Age: 97 ex_fr_female$Type: Predicted Year: 1828 Ex: 3.219959","Age: 97 ex_fr_female$Type: Predicted Year: 1829 Ex: 2.968423","Age: 97 ex_fr_female$Type: Predicted Year: 1830 Ex: 3.098508","Age: 97 ex_fr_female$Type: Predicted Year: 1831 Ex: 2.926361","Age: 97 ex_fr_female$Type: Predicted Year: 1832 Ex: 2.937932","Age: 97 ex_fr_female$Type: Predicted Year: 1833 Ex: 3.142939","Age: 97 ex_fr_female$Type: Predicted Year: 1834 Ex: 3.048040","Age: 97 ex_fr_female$Type: Predicted Year: 1835 Ex: 2.983164","Age: 97 ex_fr_female$Type: Predicted Year: 1836 Ex: 3.045552","Age: 97 ex_fr_female$Type: Predicted Year: 1837 Ex: 2.773806","Age: 97 ex_fr_female$Type: Predicted Year: 1838 Ex: 3.032628","Age: 97 ex_fr_female$Type: Predicted Year: 1839 Ex: 3.223596","Age: 97 ex_fr_female$Type: Predicted Year: 1840 Ex: 2.848363","Age: 97 ex_fr_female$Type: Predicted Year: 1841 Ex: 2.958332","Age: 97 ex_fr_female$Type: Predicted Year: 1842 Ex: 2.910374","Age: 97 ex_fr_female$Type: Predicted Year: 1843 Ex: 2.938850","Age: 97 ex_fr_female$Type: Predicted Year: 1844 Ex: 2.937855","Age: 97 ex_fr_female$Type: Predicted Year: 1845 Ex: 3.048257","Age: 97 ex_fr_female$Type: Predicted Year: 1846 Ex: 2.703577","Age: 97 ex_fr_female$Type: Predicted Year: 1847 Ex: 2.577676","Age: 97 ex_fr_female$Type: Predicted Year: 1848 Ex: 2.739589","Age: 97 ex_fr_female$Type: Predicted Year: 1849 Ex: 2.734645","Age: 97 ex_fr_female$Type: Predicted Year: 1850 Ex: 2.857731","Age: 97 ex_fr_female$Type: Predicted Year: 1851 Ex: 2.658057","Age: 97 ex_fr_female$Type: Predicted Year: 1852 Ex: 2.712718","Age: 97 ex_fr_female$Type: Predicted Year: 1853 Ex: 2.500279","Age: 97 ex_fr_female$Type: Predicted Year: 1854 Ex: 2.459890","Age: 97 ex_fr_female$Type: Predicted Year: 1855 Ex: 2.274957","Age: 97 ex_fr_female$Type: Predicted Year: 1856 Ex: 2.442832","Age: 97 ex_fr_female$Type: Predicted Year: 1857 Ex: 2.424451","Age: 97 ex_fr_female$Type: Predicted Year: 1858 Ex: 2.384840","Age: 97 ex_fr_female$Type: Predicted Year: 1859 Ex: 2.450233","Age: 97 ex_fr_female$Type: Predicted Year: 1860 Ex: 2.588469","Age: 97 ex_fr_female$Type: Predicted Year: 1861 Ex: 2.553051","Age: 97 ex_fr_female$Type: Predicted Year: 1862 Ex: 2.568470","Age: 97 ex_fr_female$Type: Predicted Year: 1863 Ex: 2.569401","Age: 97 ex_fr_female$Type: Predicted Year: 1864 Ex: 2.516242","Age: 97 ex_fr_female$Type: Predicted Year: 1865 Ex: 2.436883","Age: 97 ex_fr_female$Type: Predicted Year: 1866 Ex: 2.536390","Age: 97 ex_fr_female$Type: Predicted Year: 1867 Ex: 2.482268","Age: 97 ex_fr_female$Type: Predicted Year: 1868 Ex: 2.460705","Age: 97 ex_fr_female$Type: Predicted Year: 1869 Ex: 2.486500","Age: 97 ex_fr_female$Type: Predicted Year: 1870 Ex: 2.328889","Age: 97 ex_fr_female$Type: Predicted Year: 1871 Ex: 2.192537","Age: 97 ex_fr_female$Type: Predicted Year: 1872 Ex: 2.642335","Age: 97 ex_fr_female$Type: Predicted Year: 1873 Ex: 2.417906","Age: 97 ex_fr_female$Type: Predicted Year: 1874 Ex: 2.495334","Age: 97 ex_fr_female$Type: Predicted Year: 1875 Ex: 2.408927","Age: 97 ex_fr_female$Type: Predicted Year: 1876 Ex: 2.414999","Age: 97 ex_fr_female$Type: Predicted Year: 1877 Ex: 2.396854","Age: 97 ex_fr_female$Type: Predicted Year: 1878 Ex: 2.373790","Age: 97 ex_fr_female$Type: Predicted Year: 1879 Ex: 2.241688","Age: 97 ex_fr_female$Type: Predicted Year: 1880 Ex: 2.489841","Age: 97 ex_fr_female$Type: Predicted Year: 1881 Ex: 2.644410","Age: 97 ex_fr_female$Type: Predicted Year: 1882 Ex: 2.574728","Age: 97 ex_fr_female$Type: Predicted Year: 1883 Ex: 2.398998","Age: 97 ex_fr_female$Type: Predicted Year: 1884 Ex: 2.504506","Age: 97 ex_fr_female$Type: Predicted Year: 1885 Ex: 2.385964","Age: 97 ex_fr_female$Type: Predicted Year: 1886 Ex: 2.353976","Age: 97 ex_fr_female$Type: Predicted Year: 1887 Ex: 2.402232","Age: 97 ex_fr_female$Type: Predicted Year: 1888 Ex: 2.372489","Age: 97 ex_fr_female$Type: Predicted Year: 1889 Ex: 2.507198","Age: 97 ex_fr_female$Type: Predicted Year: 1890 Ex: 2.358104","Age: 97 ex_fr_female$Type: Predicted Year: 1891 Ex: 2.221553","Age: 97 ex_fr_female$Type: Predicted Year: 1892 Ex: 2.244900","Age: 97 ex_fr_female$Type: Predicted Year: 1893 Ex: 2.243733","Age: 97 ex_fr_female$Type: Predicted Year: 1894 Ex: 2.256528","Age: 97 ex_fr_female$Type: Predicted Year: 1895 Ex: 2.143086","Age: 97 ex_fr_female$Type: Predicted Year: 1896 Ex: 2.350937","Age: 97 ex_fr_female$Type: Predicted Year: 1897 Ex: 2.556155","Age: 97 ex_fr_female$Type: Predicted Year: 1898 Ex: 2.379337","Age: 97 ex_fr_female$Type: Predicted Year: 1899 Ex: 2.268981","Age: 97 ex_fr_female$Type: Predicted Year: 1900 Ex: 2.266837","Age: 97 ex_fr_female$Type: Predicted Year: 1901 Ex: 2.350132","Age: 97 ex_fr_female$Type: Predicted Year: 1902 Ex: 2.379766","Age: 97 ex_fr_female$Type: Predicted Year: 1903 Ex: 2.379970","Age: 97 ex_fr_female$Type: Predicted Year: 1904 Ex: 2.306001","Age: 97 ex_fr_female$Type: Predicted Year: 1905 Ex: 2.227950","Age: 97 ex_fr_female$Type: Predicted Year: 1906 Ex: 2.228947","Age: 97 ex_fr_female$Type: Predicted Year: 1907 Ex: 2.283235","Age: 97 ex_fr_female$Type: Predicted Year: 1908 Ex: 2.376348","Age: 97 ex_fr_female$Type: Predicted Year: 1909 Ex: 2.298663","Age: 97 ex_fr_female$Type: Predicted Year: 1910 Ex: 2.380101","Age: 97 ex_fr_female$Type: Predicted Year: 1911 Ex: 2.176290","Age: 97 ex_fr_female$Type: Predicted Year: 1912 Ex: 2.445391","Age: 97 ex_fr_female$Type: Predicted Year: 1913 Ex: 2.439445","Age: 97 ex_fr_female$Type: Predicted Year: 1914 Ex: 2.218717","Age: 97 ex_fr_female$Type: Predicted Year: 1915 Ex: 2.307958","Age: 97 ex_fr_female$Type: Predicted Year: 1916 Ex: 2.252901","Age: 97 ex_fr_female$Type: Predicted Year: 1917 Ex: 2.160185","Age: 97 ex_fr_female$Type: Predicted Year: 1918 Ex: 2.231041","Age: 97 ex_fr_female$Type: Predicted Year: 1919 Ex: 2.157983","Age: 97 ex_fr_female$Type: Predicted Year: 1920 Ex: 2.406956","Age: 97 ex_fr_female$Type: Predicted Year: 1921 Ex: 2.330368","Age: 97 ex_fr_female$Type: Predicted Year: 1922 Ex: 2.253429","Age: 97 ex_fr_female$Type: Predicted Year: 1923 Ex: 2.386679","Age: 97 ex_fr_female$Type: Predicted Year: 1924 Ex: 2.384143","Age: 97 ex_fr_female$Type: Predicted Year: 1925 Ex: 2.241107","Age: 97 ex_fr_female$Type: Predicted Year: 1926 Ex: 2.312240","Age: 97 ex_fr_female$Type: Predicted Year: 1927 Ex: 2.288338","Age: 97 ex_fr_female$Type: Predicted Year: 1928 Ex: 2.303516","Age: 97 ex_fr_female$Type: Predicted Year: 1929 Ex: 2.148854","Age: 97 ex_fr_female$Type: Predicted Year: 1930 Ex: 2.528601","Age: 97 ex_fr_female$Type: Predicted Year: 1931 Ex: 2.261353","Age: 97 ex_fr_female$Type: Predicted Year: 1932 Ex: 2.326135","Age: 97 ex_fr_female$Type: Predicted Year: 1933 Ex: 2.274253","Age: 97 ex_fr_female$Type: Predicted Year: 1934 Ex: 2.490105","Age: 97 ex_fr_female$Type: Predicted Year: 1935 Ex: 2.340665","Age: 97 ex_fr_female$Type: Predicted Year: 1936 Ex: 2.412295","Age: 97 ex_fr_female$Type: Predicted Year: 1937 Ex: 2.421898","Age: 97 ex_fr_female$Type: Predicted Year: 1938 Ex: 2.374508","Age: 97 ex_fr_female$Type: Predicted Year: 1939 Ex: 2.329935","Age: 97 ex_fr_female$Type: Predicted Year: 1940 Ex: 1.983485","Age: 97 ex_fr_female$Type: Predicted Year: 1941 Ex: 2.189016","Age: 97 ex_fr_female$Type: Predicted Year: 1942 Ex: 2.183469","Age: 97 ex_fr_female$Type: Predicted Year: 1943 Ex: 2.249130","Age: 97 ex_fr_female$Type: Predicted Year: 1944 Ex: 2.098704","Age: 97 ex_fr_female$Type: Predicted Year: 1945 Ex: 2.267601","Age: 97 ex_fr_female$Type: Predicted Year: 1946 Ex: 2.496866","Age: 97 ex_fr_female$Type: Predicted Year: 1947 Ex: 2.569698","Age: 97 ex_fr_female$Type: Predicted Year: 1948 Ex: 2.729110","Age: 97 ex_fr_female$Type: Predicted Year: 1949 Ex: 2.390400","Age: 97 ex_fr_female$Type: Predicted Year: 1950 Ex: 2.537798","Age: 97 ex_fr_female$Type: Predicted Year: 1951 Ex: 2.347211","Age: 97 ex_fr_female$Type: Predicted Year: 1952 Ex: 2.521554","Age: 97 ex_fr_female$Type: Predicted Year: 1953 Ex: 2.342464","Age: 97 ex_fr_female$Type: Predicted Year: 1954 Ex: 2.552495","Age: 97 ex_fr_female$Type: Predicted Year: 1955 Ex: 2.503350","Age: 97 ex_fr_female$Type: Predicted Year: 1956 Ex: 2.384634","Age: 97 ex_fr_female$Type: Predicted Year: 1957 Ex: 2.465646","Age: 97 ex_fr_female$Type: Predicted Year: 1958 Ex: 2.569214","Age: 97 ex_fr_female$Type: Predicted Year: 1959 Ex: 2.570121","Age: 97 ex_fr_female$Type: Predicted Year: 1960 Ex: 2.500189","Age: 97 ex_fr_female$Type: Predicted Year: 1961 Ex: 2.645937","Age: 97 ex_fr_female$Type: Predicted Year: 1962 Ex: 2.495549","Age: 97 ex_fr_female$Type: Predicted Year: 1963 Ex: 2.454936","Age: 97 ex_fr_female$Type: Predicted Year: 1964 Ex: 2.663427","Age: 97 ex_fr_female$Type: Predicted Year: 1965 Ex: 2.588580","Age: 97 ex_fr_female$Type: Predicted Year: 1966 Ex: 2.682908","Age: 97 ex_fr_female$Type: Predicted Year: 1967 Ex: 2.633998","Age: 97 ex_fr_female$Type: Predicted Year: 1968 Ex: 2.594307","Age: 97 ex_fr_female$Type: Predicted Year: 1969 Ex: 2.648803","Age: 97 ex_fr_female$Type: Predicted Year: 1970 Ex: 2.668376","Age: 97 ex_fr_female$Type: Predicted Year: 1971 Ex: 2.594024","Age: 97 ex_fr_female$Type: Predicted Year: 1972 Ex: 2.717122","Age: 97 ex_fr_female$Type: Predicted Year: 1973 Ex: 2.653472","Age: 97 ex_fr_female$Type: Predicted Year: 1974 Ex: 2.669365","Age: 97 ex_fr_female$Type: Predicted Year: 1975 Ex: 2.660760","Age: 97 ex_fr_female$Type: Predicted Year: 1976 Ex: 2.657758","Age: 97 ex_fr_female$Type: Predicted Year: 1977 Ex: 2.781472","Age: 97 ex_fr_female$Type: Predicted Year: 1978 Ex: 2.768396","Age: 97 ex_fr_female$Type: Predicted Year: 1979 Ex: 2.801405","Age: 97 ex_fr_female$Type: Predicted Year: 1980 Ex: 2.743352","Age: 97 ex_fr_female$Type: Predicted Year: 1981 Ex: 2.712554","Age: 97 ex_fr_female$Type: Predicted Year: 1982 Ex: 2.810692","Age: 97 ex_fr_female$Type: Predicted Year: 1983 Ex: 2.709949","Age: 97 ex_fr_female$Type: Predicted Year: 1984 Ex: 2.823236","Age: 97 ex_fr_female$Type: Predicted Year: 1985 Ex: 2.775975","Age: 97 ex_fr_female$Type: Predicted Year: 1986 Ex: 2.796448","Age: 97 ex_fr_female$Type: Predicted Year: 1987 Ex: 2.915777","Age: 97 ex_fr_female$Type: Predicted Year: 1988 Ex: 2.931627","Age: 97 ex_fr_female$Type: Predicted Year: 1989 Ex: 2.868085","Age: 97 ex_fr_female$Type: Predicted Year: 1990 Ex: 2.880351","Age: 97 ex_fr_female$Type: Predicted Year: 1991 Ex: 2.947269","Age: 97 ex_fr_female$Type: Predicted Year: 1992 Ex: 2.976867","Age: 97 ex_fr_female$Type: Predicted Year: 1993 Ex: 2.943466","Age: 97 ex_fr_female$Type: Predicted Year: 1994 Ex: 3.047361","Age: 97 ex_fr_female$Type: Predicted Year: 1995 Ex: 2.985403","Age: 97 ex_fr_female$Type: Predicted Year: 1996 Ex: 2.978079","Age: 97 ex_fr_female$Type: Predicted Year: 1997 Ex: 3.001328","Age: 97 ex_fr_female$Type: Predicted Year: 1998 Ex: 3.001822","Age: 97 ex_fr_female$Type: Predicted Year: 1999 Ex: 2.995422","Age: 97 ex_fr_female$Type: Predicted Year: 2000 Ex: 3.035996","Age: 97 ex_fr_female$Type: Predicted Year: 2001 Ex: 3.050747","Age: 97 ex_fr_female$Type: Predicted Year: 2002 Ex: 3.041530","Age: 97 ex_fr_female$Type: Predicted Year: 2003 Ex: 2.915481","Age: 97 ex_fr_female$Type: Predicted Year: 2004 Ex: 3.229501","Age: 97 ex_fr_female$Type: Predicted Year: 2005 Ex: 3.132478","Age: 97 ex_fr_female$Type: Predicted Year: 2006 Ex: 3.257285","Age: 97 ex_fr_female$Type: Predicted Year: 2007 Ex: 3.267543","Age: 97 ex_fr_female$Type: Predicted Year: 2008 Ex: 3.225592","Age: 97 ex_fr_female$Type: Predicted Year: 2009 Ex: 3.224834","Age: 97 ex_fr_female$Type: Predicted Year: 2010 Ex: 3.259590","Age: 97 ex_fr_female$Type: Predicted Year: 2011 Ex: 3.312570","Age: 97 ex_fr_female$Type: Predicted Year: 2012 Ex: 3.170150","Age: 97 ex_fr_female$Type: Predicted Year: 2013 Ex: 3.225730","Age: 97 ex_fr_female$Type: Predicted Year: 2014 Ex: 3.350652","Age: 97 ex_fr_female$Type: Predicted Year: 2015 Ex: 3.175837","Age: 97 ex_fr_female$Type: Predicted Year: 2016 Ex: 3.234552","Age: 97 ex_fr_female$Type: Predicted Year: 2017 Ex: 3.169792"],"frame":"97","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"98","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[2.78,2.55,2.56,2.63,2.53,2.8,2.48,2.44,2.84,2.56,2.38,2.76,2.67,2.42,2.55,2.38,2.39,2.59,2.5,2.43,2.49,2.23,2.48,2.67,2.3,2.41,2.36,2.39,2.39,2.5,2.15,2.04,2.19,2.19,2.31,2.11,2.16,1.96,1.92,1.74,1.9,1.88,1.84,1.91,2.04,2.01,2.02,2.02,1.97,1.89,1.99,1.94,1.92,1.94,1.79,1.66,2.09,1.87,1.95,1.86,1.87,1.85,1.83,1.7,1.94,2.1,2.03,1.85,1.96,1.84,1.81,1.85,1.83,1.96,1.81,1.68,1.7,1.7,1.71,1.6,1.8,2.01,1.83,1.73,1.73,1.81,1.83,1.83,1.76,1.69,1.69,1.74,1.83,1.76,1.83,1.64,1.89,1.89,1.68,1.76,1.71,1.62,1.69,1.62,1.86,1.78,1.71,1.84,1.83,1.7,1.77,1.74,1.76,1.61,1.97,1.72,1.78,1.73,1.93,1.79,1.86,1.87,1.82,1.78,1.45,1.64,1.64,1.7,1.56,1.72,1.94,2.01,2.16,1.84,1.98,1.79,1.96,1.79,1.99,1.94,1.83,1.9,2,2,1.94,2.08,1.93,1.89,2.09,2.02,2.11,2.06,2.02,2.08,2.09,2.02,2.14,2.08,2.09,2.08,2.08,2.2,2.19,2.22,2.16,2.13,2.22,2.13,2.23,2.19,2.21,2.32,2.33,2.27,2.28,2.35,2.37,2.34,2.44,2.38,2.37,2.39,2.39,2.39,2.42,2.44,2.43,2.31,2.6,2.51,2.63,2.64,2.6,2.6,2.63,2.68,2.54,2.59,2.71,2.54,2.6,2.53],"text":["Age: 98 ex_fr_female$Type: Observed Year: 1816 Ex: 2.780000","Age: 98 ex_fr_female$Type: Observed Year: 1817 Ex: 2.550000","Age: 98 ex_fr_female$Type: Observed Year: 1818 Ex: 2.560000","Age: 98 ex_fr_female$Type: Observed Year: 1819 Ex: 2.630000","Age: 98 ex_fr_female$Type: Observed Year: 1820 Ex: 2.530000","Age: 98 ex_fr_female$Type: Observed Year: 1821 Ex: 2.800000","Age: 98 ex_fr_female$Type: Observed Year: 1822 Ex: 2.480000","Age: 98 ex_fr_female$Type: Observed Year: 1823 Ex: 2.440000","Age: 98 ex_fr_female$Type: Observed Year: 1824 Ex: 2.840000","Age: 98 ex_fr_female$Type: Observed Year: 1825 Ex: 2.560000","Age: 98 ex_fr_female$Type: Observed Year: 1826 Ex: 2.380000","Age: 98 ex_fr_female$Type: Observed Year: 1827 Ex: 2.760000","Age: 98 ex_fr_female$Type: Observed Year: 1828 Ex: 2.670000","Age: 98 ex_fr_female$Type: Observed Year: 1829 Ex: 2.420000","Age: 98 ex_fr_female$Type: Observed Year: 1830 Ex: 2.550000","Age: 98 ex_fr_female$Type: Observed Year: 1831 Ex: 2.380000","Age: 98 ex_fr_female$Type: Observed Year: 1832 Ex: 2.390000","Age: 98 ex_fr_female$Type: Observed Year: 1833 Ex: 2.590000","Age: 98 ex_fr_female$Type: Observed Year: 1834 Ex: 2.500000","Age: 98 ex_fr_female$Type: Observed Year: 1835 Ex: 2.430000","Age: 98 ex_fr_female$Type: Observed Year: 1836 Ex: 2.490000","Age: 98 ex_fr_female$Type: Observed Year: 1837 Ex: 2.230000","Age: 98 ex_fr_female$Type: Observed Year: 1838 Ex: 2.480000","Age: 98 ex_fr_female$Type: Observed Year: 1839 Ex: 2.670000","Age: 98 ex_fr_female$Type: Observed Year: 1840 Ex: 2.300000","Age: 98 ex_fr_female$Type: Observed Year: 1841 Ex: 2.410000","Age: 98 ex_fr_female$Type: Observed Year: 1842 Ex: 2.360000","Age: 98 ex_fr_female$Type: Observed Year: 1843 Ex: 2.390000","Age: 98 ex_fr_female$Type: Observed Year: 1844 Ex: 2.390000","Age: 98 ex_fr_female$Type: Observed Year: 1845 Ex: 2.500000","Age: 98 ex_fr_female$Type: Observed Year: 1846 Ex: 2.150000","Age: 98 ex_fr_female$Type: Observed Year: 1847 Ex: 2.040000","Age: 98 ex_fr_female$Type: Observed Year: 1848 Ex: 2.190000","Age: 98 ex_fr_female$Type: Observed Year: 1849 Ex: 2.190000","Age: 98 ex_fr_female$Type: Observed Year: 1850 Ex: 2.310000","Age: 98 ex_fr_female$Type: Observed Year: 1851 Ex: 2.110000","Age: 98 ex_fr_female$Type: Observed Year: 1852 Ex: 2.160000","Age: 98 ex_fr_female$Type: Observed Year: 1853 Ex: 1.960000","Age: 98 ex_fr_female$Type: Observed Year: 1854 Ex: 1.920000","Age: 98 ex_fr_female$Type: Observed Year: 1855 Ex: 1.740000","Age: 98 ex_fr_female$Type: Observed Year: 1856 Ex: 1.900000","Age: 98 ex_fr_female$Type: Observed Year: 1857 Ex: 1.880000","Age: 98 ex_fr_female$Type: Observed Year: 1858 Ex: 1.840000","Age: 98 ex_fr_female$Type: Observed Year: 1859 Ex: 1.910000","Age: 98 ex_fr_female$Type: Observed Year: 1860 Ex: 2.040000","Age: 98 ex_fr_female$Type: Observed Year: 1861 Ex: 2.010000","Age: 98 ex_fr_female$Type: Observed Year: 1862 Ex: 2.020000","Age: 98 ex_fr_female$Type: Observed Year: 1863 Ex: 2.020000","Age: 98 ex_fr_female$Type: Observed Year: 1864 Ex: 1.970000","Age: 98 ex_fr_female$Type: Observed Year: 1865 Ex: 1.890000","Age: 98 ex_fr_female$Type: Observed Year: 1866 Ex: 1.990000","Age: 98 ex_fr_female$Type: Observed Year: 1867 Ex: 1.940000","Age: 98 ex_fr_female$Type: Observed Year: 1868 Ex: 1.920000","Age: 98 ex_fr_female$Type: Observed Year: 1869 Ex: 1.940000","Age: 98 ex_fr_female$Type: Observed Year: 1870 Ex: 1.790000","Age: 98 ex_fr_female$Type: Observed Year: 1871 Ex: 1.660000","Age: 98 ex_fr_female$Type: Observed Year: 1872 Ex: 2.090000","Age: 98 ex_fr_female$Type: Observed Year: 1873 Ex: 1.870000","Age: 98 ex_fr_female$Type: Observed Year: 1874 Ex: 1.950000","Age: 98 ex_fr_female$Type: Observed Year: 1875 Ex: 1.860000","Age: 98 ex_fr_female$Type: Observed Year: 1876 Ex: 1.870000","Age: 98 ex_fr_female$Type: Observed Year: 1877 Ex: 1.850000","Age: 98 ex_fr_female$Type: Observed Year: 1878 Ex: 1.830000","Age: 98 ex_fr_female$Type: Observed Year: 1879 Ex: 1.700000","Age: 98 ex_fr_female$Type: Observed Year: 1880 Ex: 1.940000","Age: 98 ex_fr_female$Type: Observed Year: 1881 Ex: 2.100000","Age: 98 ex_fr_female$Type: Observed Year: 1882 Ex: 2.030000","Age: 98 ex_fr_female$Type: Observed Year: 1883 Ex: 1.850000","Age: 98 ex_fr_female$Type: Observed Year: 1884 Ex: 1.960000","Age: 98 ex_fr_female$Type: Observed Year: 1885 Ex: 1.840000","Age: 98 ex_fr_female$Type: Observed Year: 1886 Ex: 1.810000","Age: 98 ex_fr_female$Type: Observed Year: 1887 Ex: 1.850000","Age: 98 ex_fr_female$Type: Observed Year: 1888 Ex: 1.830000","Age: 98 ex_fr_female$Type: Observed Year: 1889 Ex: 1.960000","Age: 98 ex_fr_female$Type: Observed Year: 1890 Ex: 1.810000","Age: 98 ex_fr_female$Type: Observed Year: 1891 Ex: 1.680000","Age: 98 ex_fr_female$Type: Observed Year: 1892 Ex: 1.700000","Age: 98 ex_fr_female$Type: Observed Year: 1893 Ex: 1.700000","Age: 98 ex_fr_female$Type: Observed Year: 1894 Ex: 1.710000","Age: 98 ex_fr_female$Type: Observed Year: 1895 Ex: 1.600000","Age: 98 ex_fr_female$Type: Observed Year: 1896 Ex: 1.800000","Age: 98 ex_fr_female$Type: Observed Year: 1897 Ex: 2.010000","Age: 98 ex_fr_female$Type: Observed Year: 1898 Ex: 1.830000","Age: 98 ex_fr_female$Type: Observed Year: 1899 Ex: 1.730000","Age: 98 ex_fr_female$Type: Observed Year: 1900 Ex: 1.730000","Age: 98 ex_fr_female$Type: Observed Year: 1901 Ex: 1.810000","Age: 98 ex_fr_female$Type: Observed Year: 1902 Ex: 1.830000","Age: 98 ex_fr_female$Type: Observed Year: 1903 Ex: 1.830000","Age: 98 ex_fr_female$Type: Observed Year: 1904 Ex: 1.760000","Age: 98 ex_fr_female$Type: Observed Year: 1905 Ex: 1.690000","Age: 98 ex_fr_female$Type: Observed Year: 1906 Ex: 1.690000","Age: 98 ex_fr_female$Type: Observed Year: 1907 Ex: 1.740000","Age: 98 ex_fr_female$Type: Observed Year: 1908 Ex: 1.830000","Age: 98 ex_fr_female$Type: Observed Year: 1909 Ex: 1.760000","Age: 98 ex_fr_female$Type: Observed Year: 1910 Ex: 1.830000","Age: 98 ex_fr_female$Type: Observed Year: 1911 Ex: 1.640000","Age: 98 ex_fr_female$Type: Observed Year: 1912 Ex: 1.890000","Age: 98 ex_fr_female$Type: Observed Year: 1913 Ex: 1.890000","Age: 98 ex_fr_female$Type: Observed Year: 1914 Ex: 1.680000","Age: 98 ex_fr_female$Type: Observed Year: 1915 Ex: 1.760000","Age: 98 ex_fr_female$Type: Observed Year: 1916 Ex: 1.710000","Age: 98 ex_fr_female$Type: Observed Year: 1917 Ex: 1.620000","Age: 98 ex_fr_female$Type: Observed Year: 1918 Ex: 1.690000","Age: 98 ex_fr_female$Type: Observed Year: 1919 Ex: 1.620000","Age: 98 ex_fr_female$Type: Observed Year: 1920 Ex: 1.860000","Age: 98 ex_fr_female$Type: Observed Year: 1921 Ex: 1.780000","Age: 98 ex_fr_female$Type: Observed Year: 1922 Ex: 1.710000","Age: 98 ex_fr_female$Type: Observed Year: 1923 Ex: 1.840000","Age: 98 ex_fr_female$Type: Observed Year: 1924 Ex: 1.830000","Age: 98 ex_fr_female$Type: Observed Year: 1925 Ex: 1.700000","Age: 98 ex_fr_female$Type: Observed Year: 1926 Ex: 1.770000","Age: 98 ex_fr_female$Type: Observed Year: 1927 Ex: 1.740000","Age: 98 ex_fr_female$Type: Observed Year: 1928 Ex: 1.760000","Age: 98 ex_fr_female$Type: Observed Year: 1929 Ex: 1.610000","Age: 98 ex_fr_female$Type: Observed Year: 1930 Ex: 1.970000","Age: 98 ex_fr_female$Type: Observed Year: 1931 Ex: 1.720000","Age: 98 ex_fr_female$Type: Observed Year: 1932 Ex: 1.780000","Age: 98 ex_fr_female$Type: Observed Year: 1933 Ex: 1.730000","Age: 98 ex_fr_female$Type: Observed Year: 1934 Ex: 1.930000","Age: 98 ex_fr_female$Type: Observed Year: 1935 Ex: 1.790000","Age: 98 ex_fr_female$Type: Observed Year: 1936 Ex: 1.860000","Age: 98 ex_fr_female$Type: Observed Year: 1937 Ex: 1.870000","Age: 98 ex_fr_female$Type: Observed Year: 1938 Ex: 1.820000","Age: 98 ex_fr_female$Type: Observed Year: 1939 Ex: 1.780000","Age: 98 ex_fr_female$Type: Observed Year: 1940 Ex: 1.450000","Age: 98 ex_fr_female$Type: Observed Year: 1941 Ex: 1.640000","Age: 98 ex_fr_female$Type: Observed Year: 1942 Ex: 1.640000","Age: 98 ex_fr_female$Type: Observed Year: 1943 Ex: 1.700000","Age: 98 ex_fr_female$Type: Observed Year: 1944 Ex: 1.560000","Age: 98 ex_fr_female$Type: Observed Year: 1945 Ex: 1.720000","Age: 98 ex_fr_female$Type: Observed Year: 1946 Ex: 1.940000","Age: 98 ex_fr_female$Type: Observed Year: 1947 Ex: 2.010000","Age: 98 ex_fr_female$Type: Observed Year: 1948 Ex: 2.160000","Age: 98 ex_fr_female$Type: Observed Year: 1949 Ex: 1.840000","Age: 98 ex_fr_female$Type: Observed Year: 1950 Ex: 1.980000","Age: 98 ex_fr_female$Type: Observed Year: 1951 Ex: 1.790000","Age: 98 ex_fr_female$Type: Observed Year: 1952 Ex: 1.960000","Age: 98 ex_fr_female$Type: Observed Year: 1953 Ex: 1.790000","Age: 98 ex_fr_female$Type: Observed Year: 1954 Ex: 1.990000","Age: 98 ex_fr_female$Type: Observed Year: 1955 Ex: 1.940000","Age: 98 ex_fr_female$Type: Observed Year: 1956 Ex: 1.830000","Age: 98 ex_fr_female$Type: Observed Year: 1957 Ex: 1.900000","Age: 98 ex_fr_female$Type: Observed Year: 1958 Ex: 2.000000","Age: 98 ex_fr_female$Type: Observed Year: 1959 Ex: 2.000000","Age: 98 ex_fr_female$Type: Observed Year: 1960 Ex: 1.940000","Age: 98 ex_fr_female$Type: Observed Year: 1961 Ex: 2.080000","Age: 98 ex_fr_female$Type: Observed Year: 1962 Ex: 1.930000","Age: 98 ex_fr_female$Type: Observed Year: 1963 Ex: 1.890000","Age: 98 ex_fr_female$Type: Observed Year: 1964 Ex: 2.090000","Age: 98 ex_fr_female$Type: Observed Year: 1965 Ex: 2.020000","Age: 98 ex_fr_female$Type: Observed Year: 1966 Ex: 2.110000","Age: 98 ex_fr_female$Type: Observed Year: 1967 Ex: 2.060000","Age: 98 ex_fr_female$Type: Observed Year: 1968 Ex: 2.020000","Age: 98 ex_fr_female$Type: Observed Year: 1969 Ex: 2.080000","Age: 98 ex_fr_female$Type: Observed Year: 1970 Ex: 2.090000","Age: 98 ex_fr_female$Type: Observed Year: 1971 Ex: 2.020000","Age: 98 ex_fr_female$Type: Observed Year: 1972 Ex: 2.140000","Age: 98 ex_fr_female$Type: Observed Year: 1973 Ex: 2.080000","Age: 98 ex_fr_female$Type: Observed Year: 1974 Ex: 2.090000","Age: 98 ex_fr_female$Type: Observed Year: 1975 Ex: 2.080000","Age: 98 ex_fr_female$Type: Observed Year: 1976 Ex: 2.080000","Age: 98 ex_fr_female$Type: Observed Year: 1977 Ex: 2.200000","Age: 98 ex_fr_female$Type: Observed Year: 1978 Ex: 2.190000","Age: 98 ex_fr_female$Type: Observed Year: 1979 Ex: 2.220000","Age: 98 ex_fr_female$Type: Observed Year: 1980 Ex: 2.160000","Age: 98 ex_fr_female$Type: Observed Year: 1981 Ex: 2.130000","Age: 98 ex_fr_female$Type: Observed Year: 1982 Ex: 2.220000","Age: 98 ex_fr_female$Type: Observed Year: 1983 Ex: 2.130000","Age: 98 ex_fr_female$Type: Observed Year: 1984 Ex: 2.230000","Age: 98 ex_fr_female$Type: Observed Year: 1985 Ex: 2.190000","Age: 98 ex_fr_female$Type: Observed Year: 1986 Ex: 2.210000","Age: 98 ex_fr_female$Type: Observed Year: 1987 Ex: 2.320000","Age: 98 ex_fr_female$Type: Observed Year: 1988 Ex: 2.330000","Age: 98 ex_fr_female$Type: Observed Year: 1989 Ex: 2.270000","Age: 98 ex_fr_female$Type: Observed Year: 1990 Ex: 2.280000","Age: 98 ex_fr_female$Type: Observed Year: 1991 Ex: 2.350000","Age: 98 ex_fr_female$Type: Observed Year: 1992 Ex: 2.370000","Age: 98 ex_fr_female$Type: Observed Year: 1993 Ex: 2.340000","Age: 98 ex_fr_female$Type: Observed Year: 1994 Ex: 2.440000","Age: 98 ex_fr_female$Type: Observed Year: 1995 Ex: 2.380000","Age: 98 ex_fr_female$Type: Observed Year: 1996 Ex: 2.370000","Age: 98 ex_fr_female$Type: Observed Year: 1997 Ex: 2.390000","Age: 98 ex_fr_female$Type: Observed Year: 1998 Ex: 2.390000","Age: 98 ex_fr_female$Type: Observed Year: 1999 Ex: 2.390000","Age: 98 ex_fr_female$Type: Observed Year: 2000 Ex: 2.420000","Age: 98 ex_fr_female$Type: Observed Year: 2001 Ex: 2.440000","Age: 98 ex_fr_female$Type: Observed Year: 2002 Ex: 2.430000","Age: 98 ex_fr_female$Type: Observed Year: 2003 Ex: 2.310000","Age: 98 ex_fr_female$Type: Observed Year: 2004 Ex: 2.600000","Age: 98 ex_fr_female$Type: Observed Year: 2005 Ex: 2.510000","Age: 98 ex_fr_female$Type: Observed Year: 2006 Ex: 2.630000","Age: 98 ex_fr_female$Type: Observed Year: 2007 Ex: 2.640000","Age: 98 ex_fr_female$Type: Observed Year: 2008 Ex: 2.600000","Age: 98 ex_fr_female$Type: Observed Year: 2009 Ex: 2.600000","Age: 98 ex_fr_female$Type: Observed Year: 2010 Ex: 2.630000","Age: 98 ex_fr_female$Type: Observed Year: 2011 Ex: 2.680000","Age: 98 ex_fr_female$Type: Observed Year: 2012 Ex: 2.540000","Age: 98 ex_fr_female$Type: Observed Year: 2013 Ex: 2.590000","Age: 98 ex_fr_female$Type: Observed Year: 2014 Ex: 2.710000","Age: 98 ex_fr_female$Type: Observed Year: 2015 Ex: 2.540000","Age: 98 ex_fr_female$Type: Observed Year: 2016 Ex: 2.600000","Age: 98 ex_fr_female$Type: Observed Year: 2017 Ex: 2.530000"],"frame":"98","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[3.24289843055772,3.01086268023212,3.01856665756864,3.09054208001906,2.99861029283219,3.26652375646674,2.94394826944575,2.9030136465091,3.30234050115869,3.02728173440371,2.84246930307443,3.22110758615826,3.13486302377861,2.88744229984169,3.01649169080529,2.84340866244148,2.86028244082611,3.05227174216706,2.9643946905507,2.89546972152261,2.95732941462017,2.70141879721525,2.94922805399266,3.1326689325046,2.76576764088598,2.87079468729769,2.8286113699154,2.8551057548949,2.85356487386852,2.9599413278381,2.61955523841068,2.50436017200361,2.66088289044295,2.65744719777555,2.77206687801002,2.57746767627968,2.63055910932772,2.42591037222898,2.38898305821327,2.20909834045825,2.36440251755681,2.34855202837845,2.31442457303227,2.37707597159271,2.50588629187111,2.47268548869606,2.48536143669351,2.48701404569159,2.43812665176928,2.36052882518285,2.4556485234983,2.40446810248016,2.3853585145456,2.40964380167119,2.26307845429979,2.13092243957955,2.55359822752864,2.34101889014604,2.41187900196151,2.33324865916763,2.33703644325269,2.31729108222595,2.29949897565098,2.17318173593298,2.41290541203816,2.56062693158086,2.49142330297207,2.3204750181028,2.42308294772686,2.30583870628988,2.27477366165173,2.32028973228418,2.29476030915527,2.42255395218057,2.2834133214016,2.15250532312908,2.17600996996356,2.17352123850381,2.18318502439873,2.07809966396,2.27143711258368,2.471119233557,2.30393170725948,2.19653619248179,2.19845263556654,2.27389768340223,2.30040198295969,2.30219139260514,2.23186133786518,2.15648533886511,2.15693281337091,2.21182471590292,2.29737543218153,2.22604838413296,2.299590433503,2.10791045148292,2.36041702483265,2.35564216800565,2.14808054372378,2.23273834482048,2.18022175369114,2.0934827117084,2.15981752924904,2.08990605184029,2.32286151497167,2.24976018982356,2.17895542189435,2.30232481176236,2.30141023448621,2.1660063383068,2.23395927311519,2.21073814501246,2.22284209326798,2.08114613383096,2.43494469003949,2.18468411484875,2.24308703295024,2.19419461443616,2.39709571993493,2.25625765686741,2.32386306804863,2.33004084887778,2.28734550458501,2.24638925768288,1.92590192966636,2.11459303351368,2.10936978025725,2.17087904136281,2.03266028074118,2.18821770336123,2.39975357257176,2.46827005000886,2.61711883539409,2.30103005264263,2.43638379000254,2.2583525704773,2.41948924741112,2.2530978901837,2.44730999468869,2.40135115517527,2.29022475430836,2.36368458180196,2.46074999977037,2.46091659144347,2.39497562481057,2.52964139811062,2.39101171181195,2.35268769376937,2.5456333153137,2.47633198355672,2.56314230309726,2.51701004678498,2.4794185542899,2.53075140115551,2.54676204273698,2.47628231090196,2.59163323129376,2.53218106304594,2.54520439199757,2.53709164670826,2.53281011552872,2.64662962947911,2.63524905147194,2.66485499526267,2.60873005218376,2.5803522804083,2.67053125510584,2.57628296011707,2.68023622555345,2.6355727172799,2.65318419617808,2.76199195421959,2.77521165284107,2.71376234658359,2.72340881068202,2.78501301257501,2.81044238297774,2.77896986697529,2.8734635579146,2.81476961513856,2.80729647787764,2.82781332827016,2.82782516684526,2.82192142141189,2.85796834247394,2.86986367898869,2.86100933913377,2.74333829504361,3.03175594348636,2.94132719161848,3.05543325142804,3.06409526213913,3.0238312744965,3.02245670003154,3.05320288122091,3.09974633750913,2.96667975506175,3.01667314176655,3.13079092113641,2.96792079832134,3.02114258530725,2.95941770170763],"text":["Age: 98 ex_fr_female$Type: Predicted Year: 1816 Ex: 3.242898","Age: 98 ex_fr_female$Type: Predicted Year: 1817 Ex: 3.010863","Age: 98 ex_fr_female$Type: Predicted Year: 1818 Ex: 3.018567","Age: 98 ex_fr_female$Type: Predicted Year: 1819 Ex: 3.090542","Age: 98 ex_fr_female$Type: Predicted Year: 1820 Ex: 2.998610","Age: 98 ex_fr_female$Type: Predicted Year: 1821 Ex: 3.266524","Age: 98 ex_fr_female$Type: Predicted Year: 1822 Ex: 2.943948","Age: 98 ex_fr_female$Type: Predicted Year: 1823 Ex: 2.903014","Age: 98 ex_fr_female$Type: Predicted Year: 1824 Ex: 3.302341","Age: 98 ex_fr_female$Type: Predicted Year: 1825 Ex: 3.027282","Age: 98 ex_fr_female$Type: Predicted Year: 1826 Ex: 2.842469","Age: 98 ex_fr_female$Type: Predicted Year: 1827 Ex: 3.221108","Age: 98 ex_fr_female$Type: Predicted Year: 1828 Ex: 3.134863","Age: 98 ex_fr_female$Type: Predicted Year: 1829 Ex: 2.887442","Age: 98 ex_fr_female$Type: Predicted Year: 1830 Ex: 3.016492","Age: 98 ex_fr_female$Type: Predicted Year: 1831 Ex: 2.843409","Age: 98 ex_fr_female$Type: Predicted Year: 1832 Ex: 2.860282","Age: 98 ex_fr_female$Type: Predicted Year: 1833 Ex: 3.052272","Age: 98 ex_fr_female$Type: Predicted Year: 1834 Ex: 2.964395","Age: 98 ex_fr_female$Type: Predicted Year: 1835 Ex: 2.895470","Age: 98 ex_fr_female$Type: Predicted Year: 1836 Ex: 2.957329","Age: 98 ex_fr_female$Type: Predicted Year: 1837 Ex: 2.701419","Age: 98 ex_fr_female$Type: Predicted Year: 1838 Ex: 2.949228","Age: 98 ex_fr_female$Type: Predicted Year: 1839 Ex: 3.132669","Age: 98 ex_fr_female$Type: Predicted Year: 1840 Ex: 2.765768","Age: 98 ex_fr_female$Type: Predicted Year: 1841 Ex: 2.870795","Age: 98 ex_fr_female$Type: Predicted Year: 1842 Ex: 2.828611","Age: 98 ex_fr_female$Type: Predicted Year: 1843 Ex: 2.855106","Age: 98 ex_fr_female$Type: Predicted Year: 1844 Ex: 2.853565","Age: 98 ex_fr_female$Type: Predicted Year: 1845 Ex: 2.959941","Age: 98 ex_fr_female$Type: Predicted Year: 1846 Ex: 2.619555","Age: 98 ex_fr_female$Type: Predicted Year: 1847 Ex: 2.504360","Age: 98 ex_fr_female$Type: Predicted Year: 1848 Ex: 2.660883","Age: 98 ex_fr_female$Type: Predicted Year: 1849 Ex: 2.657447","Age: 98 ex_fr_female$Type: Predicted Year: 1850 Ex: 2.772067","Age: 98 ex_fr_female$Type: Predicted Year: 1851 Ex: 2.577468","Age: 98 ex_fr_female$Type: Predicted Year: 1852 Ex: 2.630559","Age: 98 ex_fr_female$Type: Predicted Year: 1853 Ex: 2.425910","Age: 98 ex_fr_female$Type: Predicted Year: 1854 Ex: 2.388983","Age: 98 ex_fr_female$Type: Predicted Year: 1855 Ex: 2.209098","Age: 98 ex_fr_female$Type: Predicted Year: 1856 Ex: 2.364403","Age: 98 ex_fr_female$Type: Predicted Year: 1857 Ex: 2.348552","Age: 98 ex_fr_female$Type: Predicted Year: 1858 Ex: 2.314425","Age: 98 ex_fr_female$Type: Predicted Year: 1859 Ex: 2.377076","Age: 98 ex_fr_female$Type: Predicted Year: 1860 Ex: 2.505886","Age: 98 ex_fr_female$Type: Predicted Year: 1861 Ex: 2.472685","Age: 98 ex_fr_female$Type: Predicted Year: 1862 Ex: 2.485361","Age: 98 ex_fr_female$Type: Predicted Year: 1863 Ex: 2.487014","Age: 98 ex_fr_female$Type: Predicted Year: 1864 Ex: 2.438127","Age: 98 ex_fr_female$Type: Predicted Year: 1865 Ex: 2.360529","Age: 98 ex_fr_female$Type: Predicted Year: 1866 Ex: 2.455649","Age: 98 ex_fr_female$Type: Predicted Year: 1867 Ex: 2.404468","Age: 98 ex_fr_female$Type: Predicted Year: 1868 Ex: 2.385359","Age: 98 ex_fr_female$Type: Predicted Year: 1869 Ex: 2.409644","Age: 98 ex_fr_female$Type: Predicted Year: 1870 Ex: 2.263078","Age: 98 ex_fr_female$Type: Predicted Year: 1871 Ex: 2.130922","Age: 98 ex_fr_female$Type: Predicted Year: 1872 Ex: 2.553598","Age: 98 ex_fr_female$Type: Predicted Year: 1873 Ex: 2.341019","Age: 98 ex_fr_female$Type: Predicted Year: 1874 Ex: 2.411879","Age: 98 ex_fr_female$Type: Predicted Year: 1875 Ex: 2.333249","Age: 98 ex_fr_female$Type: Predicted Year: 1876 Ex: 2.337036","Age: 98 ex_fr_female$Type: Predicted Year: 1877 Ex: 2.317291","Age: 98 ex_fr_female$Type: Predicted Year: 1878 Ex: 2.299499","Age: 98 ex_fr_female$Type: Predicted Year: 1879 Ex: 2.173182","Age: 98 ex_fr_female$Type: Predicted Year: 1880 Ex: 2.412905","Age: 98 ex_fr_female$Type: Predicted Year: 1881 Ex: 2.560627","Age: 98 ex_fr_female$Type: Predicted Year: 1882 Ex: 2.491423","Age: 98 ex_fr_female$Type: Predicted Year: 1883 Ex: 2.320475","Age: 98 ex_fr_female$Type: Predicted Year: 1884 Ex: 2.423083","Age: 98 ex_fr_female$Type: Predicted Year: 1885 Ex: 2.305839","Age: 98 ex_fr_female$Type: Predicted Year: 1886 Ex: 2.274774","Age: 98 ex_fr_female$Type: Predicted Year: 1887 Ex: 2.320290","Age: 98 ex_fr_female$Type: Predicted Year: 1888 Ex: 2.294760","Age: 98 ex_fr_female$Type: Predicted Year: 1889 Ex: 2.422554","Age: 98 ex_fr_female$Type: Predicted Year: 1890 Ex: 2.283413","Age: 98 ex_fr_female$Type: Predicted Year: 1891 Ex: 2.152505","Age: 98 ex_fr_female$Type: Predicted Year: 1892 Ex: 2.176010","Age: 98 ex_fr_female$Type: Predicted Year: 1893 Ex: 2.173521","Age: 98 ex_fr_female$Type: Predicted Year: 1894 Ex: 2.183185","Age: 98 ex_fr_female$Type: Predicted Year: 1895 Ex: 2.078100","Age: 98 ex_fr_female$Type: Predicted Year: 1896 Ex: 2.271437","Age: 98 ex_fr_female$Type: Predicted Year: 1897 Ex: 2.471119","Age: 98 ex_fr_female$Type: Predicted Year: 1898 Ex: 2.303932","Age: 98 ex_fr_female$Type: Predicted Year: 1899 Ex: 2.196536","Age: 98 ex_fr_female$Type: Predicted Year: 1900 Ex: 2.198453","Age: 98 ex_fr_female$Type: Predicted Year: 1901 Ex: 2.273898","Age: 98 ex_fr_female$Type: Predicted Year: 1902 Ex: 2.300402","Age: 98 ex_fr_female$Type: Predicted Year: 1903 Ex: 2.302191","Age: 98 ex_fr_female$Type: Predicted Year: 1904 Ex: 2.231861","Age: 98 ex_fr_female$Type: Predicted Year: 1905 Ex: 2.156485","Age: 98 ex_fr_female$Type: Predicted Year: 1906 Ex: 2.156933","Age: 98 ex_fr_female$Type: Predicted Year: 1907 Ex: 2.211825","Age: 98 ex_fr_female$Type: Predicted Year: 1908 Ex: 2.297375","Age: 98 ex_fr_female$Type: Predicted Year: 1909 Ex: 2.226048","Age: 98 ex_fr_female$Type: Predicted Year: 1910 Ex: 2.299590","Age: 98 ex_fr_female$Type: Predicted Year: 1911 Ex: 2.107910","Age: 98 ex_fr_female$Type: Predicted Year: 1912 Ex: 2.360417","Age: 98 ex_fr_female$Type: Predicted Year: 1913 Ex: 2.355642","Age: 98 ex_fr_female$Type: Predicted Year: 1914 Ex: 2.148081","Age: 98 ex_fr_female$Type: Predicted Year: 1915 Ex: 2.232738","Age: 98 ex_fr_female$Type: Predicted Year: 1916 Ex: 2.180222","Age: 98 ex_fr_female$Type: Predicted Year: 1917 Ex: 2.093483","Age: 98 ex_fr_female$Type: Predicted Year: 1918 Ex: 2.159818","Age: 98 ex_fr_female$Type: Predicted Year: 1919 Ex: 2.089906","Age: 98 ex_fr_female$Type: Predicted Year: 1920 Ex: 2.322862","Age: 98 ex_fr_female$Type: Predicted Year: 1921 Ex: 2.249760","Age: 98 ex_fr_female$Type: Predicted Year: 1922 Ex: 2.178955","Age: 98 ex_fr_female$Type: Predicted Year: 1923 Ex: 2.302325","Age: 98 ex_fr_female$Type: Predicted Year: 1924 Ex: 2.301410","Age: 98 ex_fr_female$Type: Predicted Year: 1925 Ex: 2.166006","Age: 98 ex_fr_female$Type: Predicted Year: 1926 Ex: 2.233959","Age: 98 ex_fr_female$Type: Predicted Year: 1927 Ex: 2.210738","Age: 98 ex_fr_female$Type: Predicted Year: 1928 Ex: 2.222842","Age: 98 ex_fr_female$Type: Predicted Year: 1929 Ex: 2.081146","Age: 98 ex_fr_female$Type: Predicted Year: 1930 Ex: 2.434945","Age: 98 ex_fr_female$Type: Predicted Year: 1931 Ex: 2.184684","Age: 98 ex_fr_female$Type: Predicted Year: 1932 Ex: 2.243087","Age: 98 ex_fr_female$Type: Predicted Year: 1933 Ex: 2.194195","Age: 98 ex_fr_female$Type: Predicted Year: 1934 Ex: 2.397096","Age: 98 ex_fr_female$Type: Predicted Year: 1935 Ex: 2.256258","Age: 98 ex_fr_female$Type: Predicted Year: 1936 Ex: 2.323863","Age: 98 ex_fr_female$Type: Predicted Year: 1937 Ex: 2.330041","Age: 98 ex_fr_female$Type: Predicted Year: 1938 Ex: 2.287346","Age: 98 ex_fr_female$Type: Predicted Year: 1939 Ex: 2.246389","Age: 98 ex_fr_female$Type: Predicted Year: 1940 Ex: 1.925902","Age: 98 ex_fr_female$Type: Predicted Year: 1941 Ex: 2.114593","Age: 98 ex_fr_female$Type: Predicted Year: 1942 Ex: 2.109370","Age: 98 ex_fr_female$Type: Predicted Year: 1943 Ex: 2.170879","Age: 98 ex_fr_female$Type: Predicted Year: 1944 Ex: 2.032660","Age: 98 ex_fr_female$Type: Predicted Year: 1945 Ex: 2.188218","Age: 98 ex_fr_female$Type: Predicted Year: 1946 Ex: 2.399754","Age: 98 ex_fr_female$Type: Predicted Year: 1947 Ex: 2.468270","Age: 98 ex_fr_female$Type: Predicted Year: 1948 Ex: 2.617119","Age: 98 ex_fr_female$Type: Predicted Year: 1949 Ex: 2.301030","Age: 98 ex_fr_female$Type: Predicted Year: 1950 Ex: 2.436384","Age: 98 ex_fr_female$Type: Predicted Year: 1951 Ex: 2.258353","Age: 98 ex_fr_female$Type: Predicted Year: 1952 Ex: 2.419489","Age: 98 ex_fr_female$Type: Predicted Year: 1953 Ex: 2.253098","Age: 98 ex_fr_female$Type: Predicted Year: 1954 Ex: 2.447310","Age: 98 ex_fr_female$Type: Predicted Year: 1955 Ex: 2.401351","Age: 98 ex_fr_female$Type: Predicted Year: 1956 Ex: 2.290225","Age: 98 ex_fr_female$Type: Predicted Year: 1957 Ex: 2.363685","Age: 98 ex_fr_female$Type: Predicted Year: 1958 Ex: 2.460750","Age: 98 ex_fr_female$Type: Predicted Year: 1959 Ex: 2.460917","Age: 98 ex_fr_female$Type: Predicted Year: 1960 Ex: 2.394976","Age: 98 ex_fr_female$Type: Predicted Year: 1961 Ex: 2.529641","Age: 98 ex_fr_female$Type: Predicted Year: 1962 Ex: 2.391012","Age: 98 ex_fr_female$Type: Predicted Year: 1963 Ex: 2.352688","Age: 98 ex_fr_female$Type: Predicted Year: 1964 Ex: 2.545633","Age: 98 ex_fr_female$Type: Predicted Year: 1965 Ex: 2.476332","Age: 98 ex_fr_female$Type: Predicted Year: 1966 Ex: 2.563142","Age: 98 ex_fr_female$Type: Predicted Year: 1967 Ex: 2.517010","Age: 98 ex_fr_female$Type: Predicted Year: 1968 Ex: 2.479419","Age: 98 ex_fr_female$Type: Predicted Year: 1969 Ex: 2.530751","Age: 98 ex_fr_female$Type: Predicted Year: 1970 Ex: 2.546762","Age: 98 ex_fr_female$Type: Predicted Year: 1971 Ex: 2.476282","Age: 98 ex_fr_female$Type: Predicted Year: 1972 Ex: 2.591633","Age: 98 ex_fr_female$Type: Predicted Year: 1973 Ex: 2.532181","Age: 98 ex_fr_female$Type: Predicted Year: 1974 Ex: 2.545204","Age: 98 ex_fr_female$Type: Predicted Year: 1975 Ex: 2.537092","Age: 98 ex_fr_female$Type: Predicted Year: 1976 Ex: 2.532810","Age: 98 ex_fr_female$Type: Predicted Year: 1977 Ex: 2.646630","Age: 98 ex_fr_female$Type: Predicted Year: 1978 Ex: 2.635249","Age: 98 ex_fr_female$Type: Predicted Year: 1979 Ex: 2.664855","Age: 98 ex_fr_female$Type: Predicted Year: 1980 Ex: 2.608730","Age: 98 ex_fr_female$Type: Predicted Year: 1981 Ex: 2.580352","Age: 98 ex_fr_female$Type: Predicted Year: 1982 Ex: 2.670531","Age: 98 ex_fr_female$Type: Predicted Year: 1983 Ex: 2.576283","Age: 98 ex_fr_female$Type: Predicted Year: 1984 Ex: 2.680236","Age: 98 ex_fr_female$Type: Predicted Year: 1985 Ex: 2.635573","Age: 98 ex_fr_female$Type: Predicted Year: 1986 Ex: 2.653184","Age: 98 ex_fr_female$Type: Predicted Year: 1987 Ex: 2.761992","Age: 98 ex_fr_female$Type: Predicted Year: 1988 Ex: 2.775212","Age: 98 ex_fr_female$Type: Predicted Year: 1989 Ex: 2.713762","Age: 98 ex_fr_female$Type: Predicted Year: 1990 Ex: 2.723409","Age: 98 ex_fr_female$Type: Predicted Year: 1991 Ex: 2.785013","Age: 98 ex_fr_female$Type: Predicted Year: 1992 Ex: 2.810442","Age: 98 ex_fr_female$Type: Predicted Year: 1993 Ex: 2.778970","Age: 98 ex_fr_female$Type: Predicted Year: 1994 Ex: 2.873464","Age: 98 ex_fr_female$Type: Predicted Year: 1995 Ex: 2.814770","Age: 98 ex_fr_female$Type: Predicted Year: 1996 Ex: 2.807296","Age: 98 ex_fr_female$Type: Predicted Year: 1997 Ex: 2.827813","Age: 98 ex_fr_female$Type: Predicted Year: 1998 Ex: 2.827825","Age: 98 ex_fr_female$Type: Predicted Year: 1999 Ex: 2.821921","Age: 98 ex_fr_female$Type: Predicted Year: 2000 Ex: 2.857968","Age: 98 ex_fr_female$Type: Predicted Year: 2001 Ex: 2.869864","Age: 98 ex_fr_female$Type: Predicted Year: 2002 Ex: 2.861009","Age: 98 ex_fr_female$Type: Predicted Year: 2003 Ex: 2.743338","Age: 98 ex_fr_female$Type: Predicted Year: 2004 Ex: 3.031756","Age: 98 ex_fr_female$Type: Predicted Year: 2005 Ex: 2.941327","Age: 98 ex_fr_female$Type: Predicted Year: 2006 Ex: 3.055433","Age: 98 ex_fr_female$Type: Predicted Year: 2007 Ex: 3.064095","Age: 98 ex_fr_female$Type: Predicted Year: 2008 Ex: 3.023831","Age: 98 ex_fr_female$Type: Predicted Year: 2009 Ex: 3.022457","Age: 98 ex_fr_female$Type: Predicted Year: 2010 Ex: 3.053203","Age: 98 ex_fr_female$Type: Predicted Year: 2011 Ex: 3.099746","Age: 98 ex_fr_female$Type: Predicted Year: 2012 Ex: 2.966680","Age: 98 ex_fr_female$Type: Predicted Year: 2013 Ex: 3.016673","Age: 98 ex_fr_female$Type: Predicted Year: 2014 Ex: 3.130791","Age: 98 ex_fr_female$Type: Predicted Year: 2015 Ex: 2.967921","Age: 98 ex_fr_female$Type: Predicted Year: 2016 Ex: 3.021143","Age: 98 ex_fr_female$Type: Predicted Year: 2017 Ex: 2.959418"],"frame":"98","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"99","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[2.7,2.46,2.47,2.54,2.45,2.72,2.4,2.35,2.75,2.48,2.3,2.67,2.59,2.34,2.47,2.3,2.32,2.5,2.42,2.35,2.41,2.16,2.4,2.58,2.22,2.32,2.28,2.31,2.31,2.41,2.07,1.96,2.12,2.12,2.22,2.03,2.09,1.89,1.85,1.67,1.82,1.81,1.78,1.84,1.96,1.93,1.94,1.94,1.9,1.82,1.91,1.86,1.84,1.87,1.73,1.6,2.01,1.8,1.87,1.79,1.79,1.77,1.76,1.64,1.87,2.01,1.95,1.78,1.88,1.76,1.73,1.78,1.75,1.88,1.74,1.62,1.64,1.64,1.64,1.54,1.73,1.92,1.76,1.66,1.66,1.73,1.76,1.76,1.69,1.62,1.62,1.67,1.75,1.69,1.76,1.57,1.81,1.81,1.61,1.69,1.64,1.56,1.62,1.55,1.78,1.71,1.64,1.76,1.76,1.63,1.69,1.67,1.68,1.54,1.88,1.64,1.7,1.65,1.85,1.71,1.78,1.78,1.74,1.7,1.4,1.57,1.57,1.63,1.5,1.65,1.85,1.91,2.06,1.75,1.88,1.71,1.86,1.7,1.89,1.85,1.74,1.81,1.9,1.9,1.84,1.97,1.83,1.8,1.98,1.91,2,1.95,1.92,1.97,1.98,1.91,2.02,1.97,1.98,1.97,1.96,2.07,2.06,2.09,2.03,2.01,2.09,2,2.1,2.06,2.07,2.18,2.19,2.13,2.14,2.19,2.22,2.19,2.28,2.22,2.21,2.23,2.23,2.22,2.26,2.27,2.26,2.15,2.42,2.33,2.44,2.45,2.41,2.41,2.43,2.48,2.35,2.4,2.5,2.35,2.4,2.34],"text":["Age: 99 ex_fr_female$Type: Observed Year: 1816 Ex: 2.700000","Age: 99 ex_fr_female$Type: Observed Year: 1817 Ex: 2.460000","Age: 99 ex_fr_female$Type: Observed Year: 1818 Ex: 2.470000","Age: 99 ex_fr_female$Type: Observed Year: 1819 Ex: 2.540000","Age: 99 ex_fr_female$Type: Observed Year: 1820 Ex: 2.450000","Age: 99 ex_fr_female$Type: Observed Year: 1821 Ex: 2.720000","Age: 99 ex_fr_female$Type: Observed Year: 1822 Ex: 2.400000","Age: 99 ex_fr_female$Type: Observed Year: 1823 Ex: 2.350000","Age: 99 ex_fr_female$Type: Observed Year: 1824 Ex: 2.750000","Age: 99 ex_fr_female$Type: Observed Year: 1825 Ex: 2.480000","Age: 99 ex_fr_female$Type: Observed Year: 1826 Ex: 2.300000","Age: 99 ex_fr_female$Type: Observed Year: 1827 Ex: 2.670000","Age: 99 ex_fr_female$Type: Observed Year: 1828 Ex: 2.590000","Age: 99 ex_fr_female$Type: Observed Year: 1829 Ex: 2.340000","Age: 99 ex_fr_female$Type: Observed Year: 1830 Ex: 2.470000","Age: 99 ex_fr_female$Type: Observed Year: 1831 Ex: 2.300000","Age: 99 ex_fr_female$Type: Observed Year: 1832 Ex: 2.320000","Age: 99 ex_fr_female$Type: Observed Year: 1833 Ex: 2.500000","Age: 99 ex_fr_female$Type: Observed Year: 1834 Ex: 2.420000","Age: 99 ex_fr_female$Type: Observed Year: 1835 Ex: 2.350000","Age: 99 ex_fr_female$Type: Observed Year: 1836 Ex: 2.410000","Age: 99 ex_fr_female$Type: Observed Year: 1837 Ex: 2.160000","Age: 99 ex_fr_female$Type: Observed Year: 1838 Ex: 2.400000","Age: 99 ex_fr_female$Type: Observed Year: 1839 Ex: 2.580000","Age: 99 ex_fr_female$Type: Observed Year: 1840 Ex: 2.220000","Age: 99 ex_fr_female$Type: Observed Year: 1841 Ex: 2.320000","Age: 99 ex_fr_female$Type: Observed Year: 1842 Ex: 2.280000","Age: 99 ex_fr_female$Type: Observed Year: 1843 Ex: 2.310000","Age: 99 ex_fr_female$Type: Observed Year: 1844 Ex: 2.310000","Age: 99 ex_fr_female$Type: Observed Year: 1845 Ex: 2.410000","Age: 99 ex_fr_female$Type: Observed Year: 1846 Ex: 2.070000","Age: 99 ex_fr_female$Type: Observed Year: 1847 Ex: 1.960000","Age: 99 ex_fr_female$Type: Observed Year: 1848 Ex: 2.120000","Age: 99 ex_fr_female$Type: Observed Year: 1849 Ex: 2.120000","Age: 99 ex_fr_female$Type: Observed Year: 1850 Ex: 2.220000","Age: 99 ex_fr_female$Type: Observed Year: 1851 Ex: 2.030000","Age: 99 ex_fr_female$Type: Observed Year: 1852 Ex: 2.090000","Age: 99 ex_fr_female$Type: Observed Year: 1853 Ex: 1.890000","Age: 99 ex_fr_female$Type: Observed Year: 1854 Ex: 1.850000","Age: 99 ex_fr_female$Type: Observed Year: 1855 Ex: 1.670000","Age: 99 ex_fr_female$Type: Observed Year: 1856 Ex: 1.820000","Age: 99 ex_fr_female$Type: Observed Year: 1857 Ex: 1.810000","Age: 99 ex_fr_female$Type: Observed Year: 1858 Ex: 1.780000","Age: 99 ex_fr_female$Type: Observed Year: 1859 Ex: 1.840000","Age: 99 ex_fr_female$Type: Observed Year: 1860 Ex: 1.960000","Age: 99 ex_fr_female$Type: Observed Year: 1861 Ex: 1.930000","Age: 99 ex_fr_female$Type: Observed Year: 1862 Ex: 1.940000","Age: 99 ex_fr_female$Type: Observed Year: 1863 Ex: 1.940000","Age: 99 ex_fr_female$Type: Observed Year: 1864 Ex: 1.900000","Age: 99 ex_fr_female$Type: Observed Year: 1865 Ex: 1.820000","Age: 99 ex_fr_female$Type: Observed Year: 1866 Ex: 1.910000","Age: 99 ex_fr_female$Type: Observed Year: 1867 Ex: 1.860000","Age: 99 ex_fr_female$Type: Observed Year: 1868 Ex: 1.840000","Age: 99 ex_fr_female$Type: Observed Year: 1869 Ex: 1.870000","Age: 99 ex_fr_female$Type: Observed Year: 1870 Ex: 1.730000","Age: 99 ex_fr_female$Type: Observed Year: 1871 Ex: 1.600000","Age: 99 ex_fr_female$Type: Observed Year: 1872 Ex: 2.010000","Age: 99 ex_fr_female$Type: Observed Year: 1873 Ex: 1.800000","Age: 99 ex_fr_female$Type: Observed Year: 1874 Ex: 1.870000","Age: 99 ex_fr_female$Type: Observed Year: 1875 Ex: 1.790000","Age: 99 ex_fr_female$Type: Observed Year: 1876 Ex: 1.790000","Age: 99 ex_fr_female$Type: Observed Year: 1877 Ex: 1.770000","Age: 99 ex_fr_female$Type: Observed Year: 1878 Ex: 1.760000","Age: 99 ex_fr_female$Type: Observed Year: 1879 Ex: 1.640000","Age: 99 ex_fr_female$Type: Observed Year: 1880 Ex: 1.870000","Age: 99 ex_fr_female$Type: Observed Year: 1881 Ex: 2.010000","Age: 99 ex_fr_female$Type: Observed Year: 1882 Ex: 1.950000","Age: 99 ex_fr_female$Type: Observed Year: 1883 Ex: 1.780000","Age: 99 ex_fr_female$Type: Observed Year: 1884 Ex: 1.880000","Age: 99 ex_fr_female$Type: Observed Year: 1885 Ex: 1.760000","Age: 99 ex_fr_female$Type: Observed Year: 1886 Ex: 1.730000","Age: 99 ex_fr_female$Type: Observed Year: 1887 Ex: 1.780000","Age: 99 ex_fr_female$Type: Observed Year: 1888 Ex: 1.750000","Age: 99 ex_fr_female$Type: Observed Year: 1889 Ex: 1.880000","Age: 99 ex_fr_female$Type: Observed Year: 1890 Ex: 1.740000","Age: 99 ex_fr_female$Type: Observed Year: 1891 Ex: 1.620000","Age: 99 ex_fr_female$Type: Observed Year: 1892 Ex: 1.640000","Age: 99 ex_fr_female$Type: Observed Year: 1893 Ex: 1.640000","Age: 99 ex_fr_female$Type: Observed Year: 1894 Ex: 1.640000","Age: 99 ex_fr_female$Type: Observed Year: 1895 Ex: 1.540000","Age: 99 ex_fr_female$Type: Observed Year: 1896 Ex: 1.730000","Age: 99 ex_fr_female$Type: Observed Year: 1897 Ex: 1.920000","Age: 99 ex_fr_female$Type: Observed Year: 1898 Ex: 1.760000","Age: 99 ex_fr_female$Type: Observed Year: 1899 Ex: 1.660000","Age: 99 ex_fr_female$Type: Observed Year: 1900 Ex: 1.660000","Age: 99 ex_fr_female$Type: Observed Year: 1901 Ex: 1.730000","Age: 99 ex_fr_female$Type: Observed Year: 1902 Ex: 1.760000","Age: 99 ex_fr_female$Type: Observed Year: 1903 Ex: 1.760000","Age: 99 ex_fr_female$Type: Observed Year: 1904 Ex: 1.690000","Age: 99 ex_fr_female$Type: Observed Year: 1905 Ex: 1.620000","Age: 99 ex_fr_female$Type: Observed Year: 1906 Ex: 1.620000","Age: 99 ex_fr_female$Type: Observed Year: 1907 Ex: 1.670000","Age: 99 ex_fr_female$Type: Observed Year: 1908 Ex: 1.750000","Age: 99 ex_fr_female$Type: Observed Year: 1909 Ex: 1.690000","Age: 99 ex_fr_female$Type: Observed Year: 1910 Ex: 1.760000","Age: 99 ex_fr_female$Type: Observed Year: 1911 Ex: 1.570000","Age: 99 ex_fr_female$Type: Observed Year: 1912 Ex: 1.810000","Age: 99 ex_fr_female$Type: Observed Year: 1913 Ex: 1.810000","Age: 99 ex_fr_female$Type: Observed Year: 1914 Ex: 1.610000","Age: 99 ex_fr_female$Type: Observed Year: 1915 Ex: 1.690000","Age: 99 ex_fr_female$Type: Observed Year: 1916 Ex: 1.640000","Age: 99 ex_fr_female$Type: Observed Year: 1917 Ex: 1.560000","Age: 99 ex_fr_female$Type: Observed Year: 1918 Ex: 1.620000","Age: 99 ex_fr_female$Type: Observed Year: 1919 Ex: 1.550000","Age: 99 ex_fr_female$Type: Observed Year: 1920 Ex: 1.780000","Age: 99 ex_fr_female$Type: Observed Year: 1921 Ex: 1.710000","Age: 99 ex_fr_female$Type: Observed Year: 1922 Ex: 1.640000","Age: 99 ex_fr_female$Type: Observed Year: 1923 Ex: 1.760000","Age: 99 ex_fr_female$Type: Observed Year: 1924 Ex: 1.760000","Age: 99 ex_fr_female$Type: Observed Year: 1925 Ex: 1.630000","Age: 99 ex_fr_female$Type: Observed Year: 1926 Ex: 1.690000","Age: 99 ex_fr_female$Type: Observed Year: 1927 Ex: 1.670000","Age: 99 ex_fr_female$Type: Observed Year: 1928 Ex: 1.680000","Age: 99 ex_fr_female$Type: Observed Year: 1929 Ex: 1.540000","Age: 99 ex_fr_female$Type: Observed Year: 1930 Ex: 1.880000","Age: 99 ex_fr_female$Type: Observed Year: 1931 Ex: 1.640000","Age: 99 ex_fr_female$Type: Observed Year: 1932 Ex: 1.700000","Age: 99 ex_fr_female$Type: Observed Year: 1933 Ex: 1.650000","Age: 99 ex_fr_female$Type: Observed Year: 1934 Ex: 1.850000","Age: 99 ex_fr_female$Type: Observed Year: 1935 Ex: 1.710000","Age: 99 ex_fr_female$Type: Observed Year: 1936 Ex: 1.780000","Age: 99 ex_fr_female$Type: Observed Year: 1937 Ex: 1.780000","Age: 99 ex_fr_female$Type: Observed Year: 1938 Ex: 1.740000","Age: 99 ex_fr_female$Type: Observed Year: 1939 Ex: 1.700000","Age: 99 ex_fr_female$Type: Observed Year: 1940 Ex: 1.400000","Age: 99 ex_fr_female$Type: Observed Year: 1941 Ex: 1.570000","Age: 99 ex_fr_female$Type: Observed Year: 1942 Ex: 1.570000","Age: 99 ex_fr_female$Type: Observed Year: 1943 Ex: 1.630000","Age: 99 ex_fr_female$Type: Observed Year: 1944 Ex: 1.500000","Age: 99 ex_fr_female$Type: Observed Year: 1945 Ex: 1.650000","Age: 99 ex_fr_female$Type: Observed Year: 1946 Ex: 1.850000","Age: 99 ex_fr_female$Type: Observed Year: 1947 Ex: 1.910000","Age: 99 ex_fr_female$Type: Observed Year: 1948 Ex: 2.060000","Age: 99 ex_fr_female$Type: Observed Year: 1949 Ex: 1.750000","Age: 99 ex_fr_female$Type: Observed Year: 1950 Ex: 1.880000","Age: 99 ex_fr_female$Type: Observed Year: 1951 Ex: 1.710000","Age: 99 ex_fr_female$Type: Observed Year: 1952 Ex: 1.860000","Age: 99 ex_fr_female$Type: Observed Year: 1953 Ex: 1.700000","Age: 99 ex_fr_female$Type: Observed Year: 1954 Ex: 1.890000","Age: 99 ex_fr_female$Type: Observed Year: 1955 Ex: 1.850000","Age: 99 ex_fr_female$Type: Observed Year: 1956 Ex: 1.740000","Age: 99 ex_fr_female$Type: Observed Year: 1957 Ex: 1.810000","Age: 99 ex_fr_female$Type: Observed Year: 1958 Ex: 1.900000","Age: 99 ex_fr_female$Type: Observed Year: 1959 Ex: 1.900000","Age: 99 ex_fr_female$Type: Observed Year: 1960 Ex: 1.840000","Age: 99 ex_fr_female$Type: Observed Year: 1961 Ex: 1.970000","Age: 99 ex_fr_female$Type: Observed Year: 1962 Ex: 1.830000","Age: 99 ex_fr_female$Type: Observed Year: 1963 Ex: 1.800000","Age: 99 ex_fr_female$Type: Observed Year: 1964 Ex: 1.980000","Age: 99 ex_fr_female$Type: Observed Year: 1965 Ex: 1.910000","Age: 99 ex_fr_female$Type: Observed Year: 1966 Ex: 2.000000","Age: 99 ex_fr_female$Type: Observed Year: 1967 Ex: 1.950000","Age: 99 ex_fr_female$Type: Observed Year: 1968 Ex: 1.920000","Age: 99 ex_fr_female$Type: Observed Year: 1969 Ex: 1.970000","Age: 99 ex_fr_female$Type: Observed Year: 1970 Ex: 1.980000","Age: 99 ex_fr_female$Type: Observed Year: 1971 Ex: 1.910000","Age: 99 ex_fr_female$Type: Observed Year: 1972 Ex: 2.020000","Age: 99 ex_fr_female$Type: Observed Year: 1973 Ex: 1.970000","Age: 99 ex_fr_female$Type: Observed Year: 1974 Ex: 1.980000","Age: 99 ex_fr_female$Type: Observed Year: 1975 Ex: 1.970000","Age: 99 ex_fr_female$Type: Observed Year: 1976 Ex: 1.960000","Age: 99 ex_fr_female$Type: Observed Year: 1977 Ex: 2.070000","Age: 99 ex_fr_female$Type: Observed Year: 1978 Ex: 2.060000","Age: 99 ex_fr_female$Type: Observed Year: 1979 Ex: 2.090000","Age: 99 ex_fr_female$Type: Observed Year: 1980 Ex: 2.030000","Age: 99 ex_fr_female$Type: Observed Year: 1981 Ex: 2.010000","Age: 99 ex_fr_female$Type: Observed Year: 1982 Ex: 2.090000","Age: 99 ex_fr_female$Type: Observed Year: 1983 Ex: 2.000000","Age: 99 ex_fr_female$Type: Observed Year: 1984 Ex: 2.100000","Age: 99 ex_fr_female$Type: Observed Year: 1985 Ex: 2.060000","Age: 99 ex_fr_female$Type: Observed Year: 1986 Ex: 2.070000","Age: 99 ex_fr_female$Type: Observed Year: 1987 Ex: 2.180000","Age: 99 ex_fr_female$Type: Observed Year: 1988 Ex: 2.190000","Age: 99 ex_fr_female$Type: Observed Year: 1989 Ex: 2.130000","Age: 99 ex_fr_female$Type: Observed Year: 1990 Ex: 2.140000","Age: 99 ex_fr_female$Type: Observed Year: 1991 Ex: 2.190000","Age: 99 ex_fr_female$Type: Observed Year: 1992 Ex: 2.220000","Age: 99 ex_fr_female$Type: Observed Year: 1993 Ex: 2.190000","Age: 99 ex_fr_female$Type: Observed Year: 1994 Ex: 2.280000","Age: 99 ex_fr_female$Type: Observed Year: 1995 Ex: 2.220000","Age: 99 ex_fr_female$Type: Observed Year: 1996 Ex: 2.210000","Age: 99 ex_fr_female$Type: Observed Year: 1997 Ex: 2.230000","Age: 99 ex_fr_female$Type: Observed Year: 1998 Ex: 2.230000","Age: 99 ex_fr_female$Type: Observed Year: 1999 Ex: 2.220000","Age: 99 ex_fr_female$Type: Observed Year: 2000 Ex: 2.260000","Age: 99 ex_fr_female$Type: Observed Year: 2001 Ex: 2.270000","Age: 99 ex_fr_female$Type: Observed Year: 2002 Ex: 2.260000","Age: 99 ex_fr_female$Type: Observed Year: 2003 Ex: 2.150000","Age: 99 ex_fr_female$Type: Observed Year: 2004 Ex: 2.420000","Age: 99 ex_fr_female$Type: Observed Year: 2005 Ex: 2.330000","Age: 99 ex_fr_female$Type: Observed Year: 2006 Ex: 2.440000","Age: 99 ex_fr_female$Type: Observed Year: 2007 Ex: 2.450000","Age: 99 ex_fr_female$Type: Observed Year: 2008 Ex: 2.410000","Age: 99 ex_fr_female$Type: Observed Year: 2009 Ex: 2.410000","Age: 99 ex_fr_female$Type: Observed Year: 2010 Ex: 2.430000","Age: 99 ex_fr_female$Type: Observed Year: 2011 Ex: 2.480000","Age: 99 ex_fr_female$Type: Observed Year: 2012 Ex: 2.350000","Age: 99 ex_fr_female$Type: Observed Year: 2013 Ex: 2.400000","Age: 99 ex_fr_female$Type: Observed Year: 2014 Ex: 2.500000","Age: 99 ex_fr_female$Type: Observed Year: 2015 Ex: 2.350000","Age: 99 ex_fr_female$Type: Observed Year: 2016 Ex: 2.400000","Age: 99 ex_fr_female$Type: Observed Year: 2017 Ex: 2.340000"],"frame":"99","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[3.1669408631367,2.92972272829625,2.93397887180307,3.00678784835598,2.9235652855403,3.181535622662,2.86115450833512,2.81967370675493,3.21685295987209,2.94279263966753,2.76481080865237,3.13710322694848,3.05396602595447,2.81081667550112,2.93860930440929,2.76511313456084,2.7867315573702,2.96649183584995,2.88517554064288,2.81278649561694,2.87398248936752,2.6330262866639,2.8702818933602,3.04647104861203,2.68803251650088,2.78833819758876,2.7514403180753,2.77608739447422,2.77404485998652,2.87649534255693,2.54112343197476,2.43583373274372,2.58697180930799,2.58489641868095,2.6915695748429,2.50222589002555,2.55372448982969,2.35682125643144,2.32307860128364,2.14859530111274,2.29218002292175,2.27858304181122,2.24936186214209,2.30928736688212,2.42925035930642,2.39814287845471,2.40839784328704,2.41066788007119,2.36572671825391,2.29009564410388,2.38087558556143,2.33251393917007,2.31563889116085,2.33846978064362,2.20227657830824,2.07457239891519,2.4713865771857,2.27026094640954,2.33506459214294,2.26354846018151,2.26539235643838,2.24441151887338,2.23121833751751,2.11071184643399,2.34166275846406,2.48266717697817,2.41425497159162,2.24847431769712,2.3479175366139,2.23258478275229,2.20254026747591,2.24538719034789,2.22359954421197,2.34465046695112,2.21490195785331,2.08977310839866,2.11320300499117,2.10962405899968,2.11660492572033,2.01939711046472,2.19898202795922,2.39256935512592,2.23466089148376,2.13058955670022,2.13591032945656,2.20414358663299,2.22782896300212,2.23093918543375,2.16420000851148,2.09170269317959,2.0916945663118,2.14662501396498,2.22514863115463,2.15971070858655,2.22605869480447,2.0461187070931,2.28267424345203,2.27891559220627,2.08406095831458,2.16418193740769,2.11421986032309,2.03321411252219,2.09519747837504,2.02854141371499,2.24614312825086,2.17656663125512,2.11148199430536,2.22556065931504,2.22599742714441,2.09815116951711,2.16282362902034,2.14037528487509,2.14982582957002,2.02018747747575,2.3492822149952,2.11533787386637,2.16792104071534,2.12197736152995,2.31229520541228,2.17985665701845,2.24350203067704,2.24677758022759,2.2083577523085,2.17079562374335,1.87490687641205,2.04780200003538,2.04290494546855,2.10036603967225,1.97358771664798,2.11662067146899,2.31149866109143,2.37583789382604,2.51460623252192,2.2201100103476,2.34422055514631,2.17826252808967,2.32693421756201,2.17265966652986,2.35191612621848,2.30904437356317,2.20525773825773,2.27177016711474,2.36250592803238,2.36206695153043,2.30006138422797,2.42426787346435,2.29670130527901,2.26066463170824,2.43885332044092,2.37481244275367,2.45456268227326,2.41118103703289,2.37569719768283,2.4239019957484,2.43680158966599,2.37024929900788,2.47804029984587,2.4226360140576,2.4331726050816,2.42555411795613,2.4202498738204,2.52475692302749,2.51489337851345,2.54137605486159,2.48743658451687,2.4613370790864,2.54402088391286,2.45612379517931,2.55128441164739,2.50923890249136,2.52429508528409,2.62328645690239,2.63419902075472,2.57513931583308,2.5825495958711,2.63909269771771,2.66081211301785,2.63127237923147,2.71697721374672,2.66164189034681,2.65411575103108,2.67217090826268,2.6717972180279,2.66634629176061,2.69826534405635,2.70769694867287,2.69924556759814,2.58988004162265,2.85382437438504,2.76988067250639,2.87385257389776,2.88111590706733,2.84271283386167,2.84082412056651,2.8679197496101,2.90862306883871,2.78486587927421,2.82966491144633,2.93352433107112,2.78249610472193,2.83054849562129,2.7721212702341],"text":["Age: 99 ex_fr_female$Type: Predicted Year: 1816 Ex: 3.166941","Age: 99 ex_fr_female$Type: Predicted Year: 1817 Ex: 2.929723","Age: 99 ex_fr_female$Type: Predicted Year: 1818 Ex: 2.933979","Age: 99 ex_fr_female$Type: Predicted Year: 1819 Ex: 3.006788","Age: 99 ex_fr_female$Type: Predicted Year: 1820 Ex: 2.923565","Age: 99 ex_fr_female$Type: Predicted Year: 1821 Ex: 3.181536","Age: 99 ex_fr_female$Type: Predicted Year: 1822 Ex: 2.861155","Age: 99 ex_fr_female$Type: Predicted Year: 1823 Ex: 2.819674","Age: 99 ex_fr_female$Type: Predicted Year: 1824 Ex: 3.216853","Age: 99 ex_fr_female$Type: Predicted Year: 1825 Ex: 2.942793","Age: 99 ex_fr_female$Type: Predicted Year: 1826 Ex: 2.764811","Age: 99 ex_fr_female$Type: Predicted Year: 1827 Ex: 3.137103","Age: 99 ex_fr_female$Type: Predicted Year: 1828 Ex: 3.053966","Age: 99 ex_fr_female$Type: Predicted Year: 1829 Ex: 2.810817","Age: 99 ex_fr_female$Type: Predicted Year: 1830 Ex: 2.938609","Age: 99 ex_fr_female$Type: Predicted Year: 1831 Ex: 2.765113","Age: 99 ex_fr_female$Type: Predicted Year: 1832 Ex: 2.786732","Age: 99 ex_fr_female$Type: Predicted Year: 1833 Ex: 2.966492","Age: 99 ex_fr_female$Type: Predicted Year: 1834 Ex: 2.885176","Age: 99 ex_fr_female$Type: Predicted Year: 1835 Ex: 2.812786","Age: 99 ex_fr_female$Type: Predicted Year: 1836 Ex: 2.873982","Age: 99 ex_fr_female$Type: Predicted Year: 1837 Ex: 2.633026","Age: 99 ex_fr_female$Type: Predicted Year: 1838 Ex: 2.870282","Age: 99 ex_fr_female$Type: Predicted Year: 1839 Ex: 3.046471","Age: 99 ex_fr_female$Type: Predicted Year: 1840 Ex: 2.688033","Age: 99 ex_fr_female$Type: Predicted Year: 1841 Ex: 2.788338","Age: 99 ex_fr_female$Type: Predicted Year: 1842 Ex: 2.751440","Age: 99 ex_fr_female$Type: Predicted Year: 1843 Ex: 2.776087","Age: 99 ex_fr_female$Type: Predicted Year: 1844 Ex: 2.774045","Age: 99 ex_fr_female$Type: Predicted Year: 1845 Ex: 2.876495","Age: 99 ex_fr_female$Type: Predicted Year: 1846 Ex: 2.541123","Age: 99 ex_fr_female$Type: Predicted Year: 1847 Ex: 2.435834","Age: 99 ex_fr_female$Type: Predicted Year: 1848 Ex: 2.586972","Age: 99 ex_fr_female$Type: Predicted Year: 1849 Ex: 2.584896","Age: 99 ex_fr_female$Type: Predicted Year: 1850 Ex: 2.691570","Age: 99 ex_fr_female$Type: Predicted Year: 1851 Ex: 2.502226","Age: 99 ex_fr_female$Type: Predicted Year: 1852 Ex: 2.553724","Age: 99 ex_fr_female$Type: Predicted Year: 1853 Ex: 2.356821","Age: 99 ex_fr_female$Type: Predicted Year: 1854 Ex: 2.323079","Age: 99 ex_fr_female$Type: Predicted Year: 1855 Ex: 2.148595","Age: 99 ex_fr_female$Type: Predicted Year: 1856 Ex: 2.292180","Age: 99 ex_fr_female$Type: Predicted Year: 1857 Ex: 2.278583","Age: 99 ex_fr_female$Type: Predicted Year: 1858 Ex: 2.249362","Age: 99 ex_fr_female$Type: Predicted Year: 1859 Ex: 2.309287","Age: 99 ex_fr_female$Type: Predicted Year: 1860 Ex: 2.429250","Age: 99 ex_fr_female$Type: Predicted Year: 1861 Ex: 2.398143","Age: 99 ex_fr_female$Type: Predicted Year: 1862 Ex: 2.408398","Age: 99 ex_fr_female$Type: Predicted Year: 1863 Ex: 2.410668","Age: 99 ex_fr_female$Type: Predicted Year: 1864 Ex: 2.365727","Age: 99 ex_fr_female$Type: Predicted Year: 1865 Ex: 2.290096","Age: 99 ex_fr_female$Type: Predicted Year: 1866 Ex: 2.380876","Age: 99 ex_fr_female$Type: Predicted Year: 1867 Ex: 2.332514","Age: 99 ex_fr_female$Type: Predicted Year: 1868 Ex: 2.315639","Age: 99 ex_fr_female$Type: Predicted Year: 1869 Ex: 2.338470","Age: 99 ex_fr_female$Type: Predicted Year: 1870 Ex: 2.202277","Age: 99 ex_fr_female$Type: Predicted Year: 1871 Ex: 2.074572","Age: 99 ex_fr_female$Type: Predicted Year: 1872 Ex: 2.471387","Age: 99 ex_fr_female$Type: Predicted Year: 1873 Ex: 2.270261","Age: 99 ex_fr_female$Type: Predicted Year: 1874 Ex: 2.335065","Age: 99 ex_fr_female$Type: Predicted Year: 1875 Ex: 2.263548","Age: 99 ex_fr_female$Type: Predicted Year: 1876 Ex: 2.265392","Age: 99 ex_fr_female$Type: Predicted Year: 1877 Ex: 2.244412","Age: 99 ex_fr_female$Type: Predicted Year: 1878 Ex: 2.231218","Age: 99 ex_fr_female$Type: Predicted Year: 1879 Ex: 2.110712","Age: 99 ex_fr_female$Type: Predicted Year: 1880 Ex: 2.341663","Age: 99 ex_fr_female$Type: Predicted Year: 1881 Ex: 2.482667","Age: 99 ex_fr_female$Type: Predicted Year: 1882 Ex: 2.414255","Age: 99 ex_fr_female$Type: Predicted Year: 1883 Ex: 2.248474","Age: 99 ex_fr_female$Type: Predicted Year: 1884 Ex: 2.347918","Age: 99 ex_fr_female$Type: Predicted Year: 1885 Ex: 2.232585","Age: 99 ex_fr_female$Type: Predicted Year: 1886 Ex: 2.202540","Age: 99 ex_fr_female$Type: Predicted Year: 1887 Ex: 2.245387","Age: 99 ex_fr_female$Type: Predicted Year: 1888 Ex: 2.223600","Age: 99 ex_fr_female$Type: Predicted Year: 1889 Ex: 2.344650","Age: 99 ex_fr_female$Type: Predicted Year: 1890 Ex: 2.214902","Age: 99 ex_fr_female$Type: Predicted Year: 1891 Ex: 2.089773","Age: 99 ex_fr_female$Type: Predicted Year: 1892 Ex: 2.113203","Age: 99 ex_fr_female$Type: Predicted Year: 1893 Ex: 2.109624","Age: 99 ex_fr_female$Type: Predicted Year: 1894 Ex: 2.116605","Age: 99 ex_fr_female$Type: Predicted Year: 1895 Ex: 2.019397","Age: 99 ex_fr_female$Type: Predicted Year: 1896 Ex: 2.198982","Age: 99 ex_fr_female$Type: Predicted Year: 1897 Ex: 2.392569","Age: 99 ex_fr_female$Type: Predicted Year: 1898 Ex: 2.234661","Age: 99 ex_fr_female$Type: Predicted Year: 1899 Ex: 2.130590","Age: 99 ex_fr_female$Type: Predicted Year: 1900 Ex: 2.135910","Age: 99 ex_fr_female$Type: Predicted Year: 1901 Ex: 2.204144","Age: 99 ex_fr_female$Type: Predicted Year: 1902 Ex: 2.227829","Age: 99 ex_fr_female$Type: Predicted Year: 1903 Ex: 2.230939","Age: 99 ex_fr_female$Type: Predicted Year: 1904 Ex: 2.164200","Age: 99 ex_fr_female$Type: Predicted Year: 1905 Ex: 2.091703","Age: 99 ex_fr_female$Type: Predicted Year: 1906 Ex: 2.091695","Age: 99 ex_fr_female$Type: Predicted Year: 1907 Ex: 2.146625","Age: 99 ex_fr_female$Type: Predicted Year: 1908 Ex: 2.225149","Age: 99 ex_fr_female$Type: Predicted Year: 1909 Ex: 2.159711","Age: 99 ex_fr_female$Type: Predicted Year: 1910 Ex: 2.226059","Age: 99 ex_fr_female$Type: Predicted Year: 1911 Ex: 2.046119","Age: 99 ex_fr_female$Type: Predicted Year: 1912 Ex: 2.282674","Age: 99 ex_fr_female$Type: Predicted Year: 1913 Ex: 2.278916","Age: 99 ex_fr_female$Type: Predicted Year: 1914 Ex: 2.084061","Age: 99 ex_fr_female$Type: Predicted Year: 1915 Ex: 2.164182","Age: 99 ex_fr_female$Type: Predicted Year: 1916 Ex: 2.114220","Age: 99 ex_fr_female$Type: Predicted Year: 1917 Ex: 2.033214","Age: 99 ex_fr_female$Type: Predicted Year: 1918 Ex: 2.095197","Age: 99 ex_fr_female$Type: Predicted Year: 1919 Ex: 2.028541","Age: 99 ex_fr_female$Type: Predicted Year: 1920 Ex: 2.246143","Age: 99 ex_fr_female$Type: Predicted Year: 1921 Ex: 2.176567","Age: 99 ex_fr_female$Type: Predicted Year: 1922 Ex: 2.111482","Age: 99 ex_fr_female$Type: Predicted Year: 1923 Ex: 2.225561","Age: 99 ex_fr_female$Type: Predicted Year: 1924 Ex: 2.225997","Age: 99 ex_fr_female$Type: Predicted Year: 1925 Ex: 2.098151","Age: 99 ex_fr_female$Type: Predicted Year: 1926 Ex: 2.162824","Age: 99 ex_fr_female$Type: Predicted Year: 1927 Ex: 2.140375","Age: 99 ex_fr_female$Type: Predicted Year: 1928 Ex: 2.149826","Age: 99 ex_fr_female$Type: Predicted Year: 1929 Ex: 2.020187","Age: 99 ex_fr_female$Type: Predicted Year: 1930 Ex: 2.349282","Age: 99 ex_fr_female$Type: Predicted Year: 1931 Ex: 2.115338","Age: 99 ex_fr_female$Type: Predicted Year: 1932 Ex: 2.167921","Age: 99 ex_fr_female$Type: Predicted Year: 1933 Ex: 2.121977","Age: 99 ex_fr_female$Type: Predicted Year: 1934 Ex: 2.312295","Age: 99 ex_fr_female$Type: Predicted Year: 1935 Ex: 2.179857","Age: 99 ex_fr_female$Type: Predicted Year: 1936 Ex: 2.243502","Age: 99 ex_fr_female$Type: Predicted Year: 1937 Ex: 2.246778","Age: 99 ex_fr_female$Type: Predicted Year: 1938 Ex: 2.208358","Age: 99 ex_fr_female$Type: Predicted Year: 1939 Ex: 2.170796","Age: 99 ex_fr_female$Type: Predicted Year: 1940 Ex: 1.874907","Age: 99 ex_fr_female$Type: Predicted Year: 1941 Ex: 2.047802","Age: 99 ex_fr_female$Type: Predicted Year: 1942 Ex: 2.042905","Age: 99 ex_fr_female$Type: Predicted Year: 1943 Ex: 2.100366","Age: 99 ex_fr_female$Type: Predicted Year: 1944 Ex: 1.973588","Age: 99 ex_fr_female$Type: Predicted Year: 1945 Ex: 2.116621","Age: 99 ex_fr_female$Type: Predicted Year: 1946 Ex: 2.311499","Age: 99 ex_fr_female$Type: Predicted Year: 1947 Ex: 2.375838","Age: 99 ex_fr_female$Type: Predicted Year: 1948 Ex: 2.514606","Age: 99 ex_fr_female$Type: Predicted Year: 1949 Ex: 2.220110","Age: 99 ex_fr_female$Type: Predicted Year: 1950 Ex: 2.344221","Age: 99 ex_fr_female$Type: Predicted Year: 1951 Ex: 2.178263","Age: 99 ex_fr_female$Type: Predicted Year: 1952 Ex: 2.326934","Age: 99 ex_fr_female$Type: Predicted Year: 1953 Ex: 2.172660","Age: 99 ex_fr_female$Type: Predicted Year: 1954 Ex: 2.351916","Age: 99 ex_fr_female$Type: Predicted Year: 1955 Ex: 2.309044","Age: 99 ex_fr_female$Type: Predicted Year: 1956 Ex: 2.205258","Age: 99 ex_fr_female$Type: Predicted Year: 1957 Ex: 2.271770","Age: 99 ex_fr_female$Type: Predicted Year: 1958 Ex: 2.362506","Age: 99 ex_fr_female$Type: Predicted Year: 1959 Ex: 2.362067","Age: 99 ex_fr_female$Type: Predicted Year: 1960 Ex: 2.300061","Age: 99 ex_fr_female$Type: Predicted Year: 1961 Ex: 2.424268","Age: 99 ex_fr_female$Type: Predicted Year: 1962 Ex: 2.296701","Age: 99 ex_fr_female$Type: Predicted Year: 1963 Ex: 2.260665","Age: 99 ex_fr_female$Type: Predicted Year: 1964 Ex: 2.438853","Age: 99 ex_fr_female$Type: Predicted Year: 1965 Ex: 2.374812","Age: 99 ex_fr_female$Type: Predicted Year: 1966 Ex: 2.454563","Age: 99 ex_fr_female$Type: Predicted Year: 1967 Ex: 2.411181","Age: 99 ex_fr_female$Type: Predicted Year: 1968 Ex: 2.375697","Age: 99 ex_fr_female$Type: Predicted Year: 1969 Ex: 2.423902","Age: 99 ex_fr_female$Type: Predicted Year: 1970 Ex: 2.436802","Age: 99 ex_fr_female$Type: Predicted Year: 1971 Ex: 2.370249","Age: 99 ex_fr_female$Type: Predicted Year: 1972 Ex: 2.478040","Age: 99 ex_fr_female$Type: Predicted Year: 1973 Ex: 2.422636","Age: 99 ex_fr_female$Type: Predicted Year: 1974 Ex: 2.433173","Age: 99 ex_fr_female$Type: Predicted Year: 1975 Ex: 2.425554","Age: 99 ex_fr_female$Type: Predicted Year: 1976 Ex: 2.420250","Age: 99 ex_fr_female$Type: Predicted Year: 1977 Ex: 2.524757","Age: 99 ex_fr_female$Type: Predicted Year: 1978 Ex: 2.514893","Age: 99 ex_fr_female$Type: Predicted Year: 1979 Ex: 2.541376","Age: 99 ex_fr_female$Type: Predicted Year: 1980 Ex: 2.487437","Age: 99 ex_fr_female$Type: Predicted Year: 1981 Ex: 2.461337","Age: 99 ex_fr_female$Type: Predicted Year: 1982 Ex: 2.544021","Age: 99 ex_fr_female$Type: Predicted Year: 1983 Ex: 2.456124","Age: 99 ex_fr_female$Type: Predicted Year: 1984 Ex: 2.551284","Age: 99 ex_fr_female$Type: Predicted Year: 1985 Ex: 2.509239","Age: 99 ex_fr_female$Type: Predicted Year: 1986 Ex: 2.524295","Age: 99 ex_fr_female$Type: Predicted Year: 1987 Ex: 2.623286","Age: 99 ex_fr_female$Type: Predicted Year: 1988 Ex: 2.634199","Age: 99 ex_fr_female$Type: Predicted Year: 1989 Ex: 2.575139","Age: 99 ex_fr_female$Type: Predicted Year: 1990 Ex: 2.582550","Age: 99 ex_fr_female$Type: Predicted Year: 1991 Ex: 2.639093","Age: 99 ex_fr_female$Type: Predicted Year: 1992 Ex: 2.660812","Age: 99 ex_fr_female$Type: Predicted Year: 1993 Ex: 2.631272","Age: 99 ex_fr_female$Type: Predicted Year: 1994 Ex: 2.716977","Age: 99 ex_fr_female$Type: Predicted Year: 1995 Ex: 2.661642","Age: 99 ex_fr_female$Type: Predicted Year: 1996 Ex: 2.654116","Age: 99 ex_fr_female$Type: Predicted Year: 1997 Ex: 2.672171","Age: 99 ex_fr_female$Type: Predicted Year: 1998 Ex: 2.671797","Age: 99 ex_fr_female$Type: Predicted Year: 1999 Ex: 2.666346","Age: 99 ex_fr_female$Type: Predicted Year: 2000 Ex: 2.698265","Age: 99 ex_fr_female$Type: Predicted Year: 2001 Ex: 2.707697","Age: 99 ex_fr_female$Type: Predicted Year: 2002 Ex: 2.699246","Age: 99 ex_fr_female$Type: Predicted Year: 2003 Ex: 2.589880","Age: 99 ex_fr_female$Type: Predicted Year: 2004 Ex: 2.853824","Age: 99 ex_fr_female$Type: Predicted Year: 2005 Ex: 2.769881","Age: 99 ex_fr_female$Type: Predicted Year: 2006 Ex: 2.873853","Age: 99 ex_fr_female$Type: Predicted Year: 2007 Ex: 2.881116","Age: 99 ex_fr_female$Type: Predicted Year: 2008 Ex: 2.842713","Age: 99 ex_fr_female$Type: Predicted Year: 2009 Ex: 2.840824","Age: 99 ex_fr_female$Type: Predicted Year: 2010 Ex: 2.867920","Age: 99 ex_fr_female$Type: Predicted Year: 2011 Ex: 2.908623","Age: 99 ex_fr_female$Type: Predicted Year: 2012 Ex: 2.784866","Age: 99 ex_fr_female$Type: Predicted Year: 2013 Ex: 2.829665","Age: 99 ex_fr_female$Type: Predicted Year: 2014 Ex: 2.933524","Age: 99 ex_fr_female$Type: Predicted Year: 2015 Ex: 2.782496","Age: 99 ex_fr_female$Type: Predicted Year: 2016 Ex: 2.830548","Age: 99 ex_fr_female$Type: Predicted Year: 2017 Ex: 2.772121"],"frame":"99","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(0,191,196,1)","dash":"solid"},"hoveron":"points","name":"Predicted","legendgroup":"Predicted","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true}],"traces":[0,1]},{"name":"100","data":[{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[2.62,2.38,2.39,2.46,2.38,2.63,2.31,2.27,2.67,2.4,2.22,2.59,2.51,2.27,2.39,2.22,2.25,2.42,2.34,2.27,2.33,2.1,2.33,2.5,2.15,2.24,2.21,2.23,2.23,2.33,2,1.9,2.05,2.05,2.15,1.96,2.01,1.82,1.79,1.62,1.75,1.74,1.71,1.77,1.89,1.86,1.87,1.87,1.83,1.75,1.84,1.79,1.78,1.8,1.67,1.54,1.93,1.73,1.79,1.73,1.73,1.71,1.69,1.58,1.8,1.94,1.87,1.71,1.81,1.69,1.66,1.7,1.69,1.8,1.68,1.56,1.58,1.58,1.58,1.49,1.66,1.85,1.7,1.6,1.6,1.67,1.69,1.69,1.63,1.56,1.56,1.61,1.69,1.62,1.69,1.51,1.74,1.74,1.55,1.63,1.58,1.5,1.56,1.5,1.7,1.64,1.58,1.68,1.69,1.56,1.62,1.6,1.61,1.49,1.8,1.58,1.63,1.58,1.77,1.64,1.7,1.7,1.67,1.63,1.35,1.51,1.51,1.56,1.44,1.58,1.76,1.83,1.96,1.68,1.79,1.63,1.78,1.63,1.8,1.76,1.66,1.72,1.81,1.81,1.75,1.87,1.75,1.71,1.88,1.82,1.89,1.85,1.82,1.87,1.88,1.81,1.92,1.86,1.87,1.86,1.86,1.96,1.95,1.97,1.92,1.9,1.97,1.89,1.98,1.94,1.95,2.05,2.06,2,2,2.06,2.08,2.05,2.13,2.08,2.07,2.08,2.08,2.08,2.11,2.12,2.11,2,2.25,2.17,2.27,2.28,2.24,2.24,2.26,2.3,2.18,2.22,2.32,2.18,2.22,2.17],"text":["Age: 100 ex_fr_female$Type: Observed Year: 1816 Ex: 2.620000","Age: 100 ex_fr_female$Type: Observed Year: 1817 Ex: 2.380000","Age: 100 ex_fr_female$Type: Observed Year: 1818 Ex: 2.390000","Age: 100 ex_fr_female$Type: Observed Year: 1819 Ex: 2.460000","Age: 100 ex_fr_female$Type: Observed Year: 1820 Ex: 2.380000","Age: 100 ex_fr_female$Type: Observed Year: 1821 Ex: 2.630000","Age: 100 ex_fr_female$Type: Observed Year: 1822 Ex: 2.310000","Age: 100 ex_fr_female$Type: Observed Year: 1823 Ex: 2.270000","Age: 100 ex_fr_female$Type: Observed Year: 1824 Ex: 2.670000","Age: 100 ex_fr_female$Type: Observed Year: 1825 Ex: 2.400000","Age: 100 ex_fr_female$Type: Observed Year: 1826 Ex: 2.220000","Age: 100 ex_fr_female$Type: Observed Year: 1827 Ex: 2.590000","Age: 100 ex_fr_female$Type: Observed Year: 1828 Ex: 2.510000","Age: 100 ex_fr_female$Type: Observed Year: 1829 Ex: 2.270000","Age: 100 ex_fr_female$Type: Observed Year: 1830 Ex: 2.390000","Age: 100 ex_fr_female$Type: Observed Year: 1831 Ex: 2.220000","Age: 100 ex_fr_female$Type: Observed Year: 1832 Ex: 2.250000","Age: 100 ex_fr_female$Type: Observed Year: 1833 Ex: 2.420000","Age: 100 ex_fr_female$Type: Observed Year: 1834 Ex: 2.340000","Age: 100 ex_fr_female$Type: Observed Year: 1835 Ex: 2.270000","Age: 100 ex_fr_female$Type: Observed Year: 1836 Ex: 2.330000","Age: 100 ex_fr_female$Type: Observed Year: 1837 Ex: 2.100000","Age: 100 ex_fr_female$Type: Observed Year: 1838 Ex: 2.330000","Age: 100 ex_fr_female$Type: Observed Year: 1839 Ex: 2.500000","Age: 100 ex_fr_female$Type: Observed Year: 1840 Ex: 2.150000","Age: 100 ex_fr_female$Type: Observed Year: 1841 Ex: 2.240000","Age: 100 ex_fr_female$Type: Observed Year: 1842 Ex: 2.210000","Age: 100 ex_fr_female$Type: Observed Year: 1843 Ex: 2.230000","Age: 100 ex_fr_female$Type: Observed Year: 1844 Ex: 2.230000","Age: 100 ex_fr_female$Type: Observed Year: 1845 Ex: 2.330000","Age: 100 ex_fr_female$Type: Observed Year: 1846 Ex: 2.000000","Age: 100 ex_fr_female$Type: Observed Year: 1847 Ex: 1.900000","Age: 100 ex_fr_female$Type: Observed Year: 1848 Ex: 2.050000","Age: 100 ex_fr_female$Type: Observed Year: 1849 Ex: 2.050000","Age: 100 ex_fr_female$Type: Observed Year: 1850 Ex: 2.150000","Age: 100 ex_fr_female$Type: Observed Year: 1851 Ex: 1.960000","Age: 100 ex_fr_female$Type: Observed Year: 1852 Ex: 2.010000","Age: 100 ex_fr_female$Type: Observed Year: 1853 Ex: 1.820000","Age: 100 ex_fr_female$Type: Observed Year: 1854 Ex: 1.790000","Age: 100 ex_fr_female$Type: Observed Year: 1855 Ex: 1.620000","Age: 100 ex_fr_female$Type: Observed Year: 1856 Ex: 1.750000","Age: 100 ex_fr_female$Type: Observed Year: 1857 Ex: 1.740000","Age: 100 ex_fr_female$Type: Observed Year: 1858 Ex: 1.710000","Age: 100 ex_fr_female$Type: Observed Year: 1859 Ex: 1.770000","Age: 100 ex_fr_female$Type: Observed Year: 1860 Ex: 1.890000","Age: 100 ex_fr_female$Type: Observed Year: 1861 Ex: 1.860000","Age: 100 ex_fr_female$Type: Observed Year: 1862 Ex: 1.870000","Age: 100 ex_fr_female$Type: Observed Year: 1863 Ex: 1.870000","Age: 100 ex_fr_female$Type: Observed Year: 1864 Ex: 1.830000","Age: 100 ex_fr_female$Type: Observed Year: 1865 Ex: 1.750000","Age: 100 ex_fr_female$Type: Observed Year: 1866 Ex: 1.840000","Age: 100 ex_fr_female$Type: Observed Year: 1867 Ex: 1.790000","Age: 100 ex_fr_female$Type: Observed Year: 1868 Ex: 1.780000","Age: 100 ex_fr_female$Type: Observed Year: 1869 Ex: 1.800000","Age: 100 ex_fr_female$Type: Observed Year: 1870 Ex: 1.670000","Age: 100 ex_fr_female$Type: Observed Year: 1871 Ex: 1.540000","Age: 100 ex_fr_female$Type: Observed Year: 1872 Ex: 1.930000","Age: 100 ex_fr_female$Type: Observed Year: 1873 Ex: 1.730000","Age: 100 ex_fr_female$Type: Observed Year: 1874 Ex: 1.790000","Age: 100 ex_fr_female$Type: Observed Year: 1875 Ex: 1.730000","Age: 100 ex_fr_female$Type: Observed Year: 1876 Ex: 1.730000","Age: 100 ex_fr_female$Type: Observed Year: 1877 Ex: 1.710000","Age: 100 ex_fr_female$Type: Observed Year: 1878 Ex: 1.690000","Age: 100 ex_fr_female$Type: Observed Year: 1879 Ex: 1.580000","Age: 100 ex_fr_female$Type: Observed Year: 1880 Ex: 1.800000","Age: 100 ex_fr_female$Type: Observed Year: 1881 Ex: 1.940000","Age: 100 ex_fr_female$Type: Observed Year: 1882 Ex: 1.870000","Age: 100 ex_fr_female$Type: Observed Year: 1883 Ex: 1.710000","Age: 100 ex_fr_female$Type: Observed Year: 1884 Ex: 1.810000","Age: 100 ex_fr_female$Type: Observed Year: 1885 Ex: 1.690000","Age: 100 ex_fr_female$Type: Observed Year: 1886 Ex: 1.660000","Age: 100 ex_fr_female$Type: Observed Year: 1887 Ex: 1.700000","Age: 100 ex_fr_female$Type: Observed Year: 1888 Ex: 1.690000","Age: 100 ex_fr_female$Type: Observed Year: 1889 Ex: 1.800000","Age: 100 ex_fr_female$Type: Observed Year: 1890 Ex: 1.680000","Age: 100 ex_fr_female$Type: Observed Year: 1891 Ex: 1.560000","Age: 100 ex_fr_female$Type: Observed Year: 1892 Ex: 1.580000","Age: 100 ex_fr_female$Type: Observed Year: 1893 Ex: 1.580000","Age: 100 ex_fr_female$Type: Observed Year: 1894 Ex: 1.580000","Age: 100 ex_fr_female$Type: Observed Year: 1895 Ex: 1.490000","Age: 100 ex_fr_female$Type: Observed Year: 1896 Ex: 1.660000","Age: 100 ex_fr_female$Type: Observed Year: 1897 Ex: 1.850000","Age: 100 ex_fr_female$Type: Observed Year: 1898 Ex: 1.700000","Age: 100 ex_fr_female$Type: Observed Year: 1899 Ex: 1.600000","Age: 100 ex_fr_female$Type: Observed Year: 1900 Ex: 1.600000","Age: 100 ex_fr_female$Type: Observed Year: 1901 Ex: 1.670000","Age: 100 ex_fr_female$Type: Observed Year: 1902 Ex: 1.690000","Age: 100 ex_fr_female$Type: Observed Year: 1903 Ex: 1.690000","Age: 100 ex_fr_female$Type: Observed Year: 1904 Ex: 1.630000","Age: 100 ex_fr_female$Type: Observed Year: 1905 Ex: 1.560000","Age: 100 ex_fr_female$Type: Observed Year: 1906 Ex: 1.560000","Age: 100 ex_fr_female$Type: Observed Year: 1907 Ex: 1.610000","Age: 100 ex_fr_female$Type: Observed Year: 1908 Ex: 1.690000","Age: 100 ex_fr_female$Type: Observed Year: 1909 Ex: 1.620000","Age: 100 ex_fr_female$Type: Observed Year: 1910 Ex: 1.690000","Age: 100 ex_fr_female$Type: Observed Year: 1911 Ex: 1.510000","Age: 100 ex_fr_female$Type: Observed Year: 1912 Ex: 1.740000","Age: 100 ex_fr_female$Type: Observed Year: 1913 Ex: 1.740000","Age: 100 ex_fr_female$Type: Observed Year: 1914 Ex: 1.550000","Age: 100 ex_fr_female$Type: Observed Year: 1915 Ex: 1.630000","Age: 100 ex_fr_female$Type: Observed Year: 1916 Ex: 1.580000","Age: 100 ex_fr_female$Type: Observed Year: 1917 Ex: 1.500000","Age: 100 ex_fr_female$Type: Observed Year: 1918 Ex: 1.560000","Age: 100 ex_fr_female$Type: Observed Year: 1919 Ex: 1.500000","Age: 100 ex_fr_female$Type: Observed Year: 1920 Ex: 1.700000","Age: 100 ex_fr_female$Type: Observed Year: 1921 Ex: 1.640000","Age: 100 ex_fr_female$Type: Observed Year: 1922 Ex: 1.580000","Age: 100 ex_fr_female$Type: Observed Year: 1923 Ex: 1.680000","Age: 100 ex_fr_female$Type: Observed Year: 1924 Ex: 1.690000","Age: 100 ex_fr_female$Type: Observed Year: 1925 Ex: 1.560000","Age: 100 ex_fr_female$Type: Observed Year: 1926 Ex: 1.620000","Age: 100 ex_fr_female$Type: Observed Year: 1927 Ex: 1.600000","Age: 100 ex_fr_female$Type: Observed Year: 1928 Ex: 1.610000","Age: 100 ex_fr_female$Type: Observed Year: 1929 Ex: 1.490000","Age: 100 ex_fr_female$Type: Observed Year: 1930 Ex: 1.800000","Age: 100 ex_fr_female$Type: Observed Year: 1931 Ex: 1.580000","Age: 100 ex_fr_female$Type: Observed Year: 1932 Ex: 1.630000","Age: 100 ex_fr_female$Type: Observed Year: 1933 Ex: 1.580000","Age: 100 ex_fr_female$Type: Observed Year: 1934 Ex: 1.770000","Age: 100 ex_fr_female$Type: Observed Year: 1935 Ex: 1.640000","Age: 100 ex_fr_female$Type: Observed Year: 1936 Ex: 1.700000","Age: 100 ex_fr_female$Type: Observed Year: 1937 Ex: 1.700000","Age: 100 ex_fr_female$Type: Observed Year: 1938 Ex: 1.670000","Age: 100 ex_fr_female$Type: Observed Year: 1939 Ex: 1.630000","Age: 100 ex_fr_female$Type: Observed Year: 1940 Ex: 1.350000","Age: 100 ex_fr_female$Type: Observed Year: 1941 Ex: 1.510000","Age: 100 ex_fr_female$Type: Observed Year: 1942 Ex: 1.510000","Age: 100 ex_fr_female$Type: Observed Year: 1943 Ex: 1.560000","Age: 100 ex_fr_female$Type: Observed Year: 1944 Ex: 1.440000","Age: 100 ex_fr_female$Type: Observed Year: 1945 Ex: 1.580000","Age: 100 ex_fr_female$Type: Observed Year: 1946 Ex: 1.760000","Age: 100 ex_fr_female$Type: Observed Year: 1947 Ex: 1.830000","Age: 100 ex_fr_female$Type: Observed Year: 1948 Ex: 1.960000","Age: 100 ex_fr_female$Type: Observed Year: 1949 Ex: 1.680000","Age: 100 ex_fr_female$Type: Observed Year: 1950 Ex: 1.790000","Age: 100 ex_fr_female$Type: Observed Year: 1951 Ex: 1.630000","Age: 100 ex_fr_female$Type: Observed Year: 1952 Ex: 1.780000","Age: 100 ex_fr_female$Type: Observed Year: 1953 Ex: 1.630000","Age: 100 ex_fr_female$Type: Observed Year: 1954 Ex: 1.800000","Age: 100 ex_fr_female$Type: Observed Year: 1955 Ex: 1.760000","Age: 100 ex_fr_female$Type: Observed Year: 1956 Ex: 1.660000","Age: 100 ex_fr_female$Type: Observed Year: 1957 Ex: 1.720000","Age: 100 ex_fr_female$Type: Observed Year: 1958 Ex: 1.810000","Age: 100 ex_fr_female$Type: Observed Year: 1959 Ex: 1.810000","Age: 100 ex_fr_female$Type: Observed Year: 1960 Ex: 1.750000","Age: 100 ex_fr_female$Type: Observed Year: 1961 Ex: 1.870000","Age: 100 ex_fr_female$Type: Observed Year: 1962 Ex: 1.750000","Age: 100 ex_fr_female$Type: Observed Year: 1963 Ex: 1.710000","Age: 100 ex_fr_female$Type: Observed Year: 1964 Ex: 1.880000","Age: 100 ex_fr_female$Type: Observed Year: 1965 Ex: 1.820000","Age: 100 ex_fr_female$Type: Observed Year: 1966 Ex: 1.890000","Age: 100 ex_fr_female$Type: Observed Year: 1967 Ex: 1.850000","Age: 100 ex_fr_female$Type: Observed Year: 1968 Ex: 1.820000","Age: 100 ex_fr_female$Type: Observed Year: 1969 Ex: 1.870000","Age: 100 ex_fr_female$Type: Observed Year: 1970 Ex: 1.880000","Age: 100 ex_fr_female$Type: Observed Year: 1971 Ex: 1.810000","Age: 100 ex_fr_female$Type: Observed Year: 1972 Ex: 1.920000","Age: 100 ex_fr_female$Type: Observed Year: 1973 Ex: 1.860000","Age: 100 ex_fr_female$Type: Observed Year: 1974 Ex: 1.870000","Age: 100 ex_fr_female$Type: Observed Year: 1975 Ex: 1.860000","Age: 100 ex_fr_female$Type: Observed Year: 1976 Ex: 1.860000","Age: 100 ex_fr_female$Type: Observed Year: 1977 Ex: 1.960000","Age: 100 ex_fr_female$Type: Observed Year: 1978 Ex: 1.950000","Age: 100 ex_fr_female$Type: Observed Year: 1979 Ex: 1.970000","Age: 100 ex_fr_female$Type: Observed Year: 1980 Ex: 1.920000","Age: 100 ex_fr_female$Type: Observed Year: 1981 Ex: 1.900000","Age: 100 ex_fr_female$Type: Observed Year: 1982 Ex: 1.970000","Age: 100 ex_fr_female$Type: Observed Year: 1983 Ex: 1.890000","Age: 100 ex_fr_female$Type: Observed Year: 1984 Ex: 1.980000","Age: 100 ex_fr_female$Type: Observed Year: 1985 Ex: 1.940000","Age: 100 ex_fr_female$Type: Observed Year: 1986 Ex: 1.950000","Age: 100 ex_fr_female$Type: Observed Year: 1987 Ex: 2.050000","Age: 100 ex_fr_female$Type: Observed Year: 1988 Ex: 2.060000","Age: 100 ex_fr_female$Type: Observed Year: 1989 Ex: 2.000000","Age: 100 ex_fr_female$Type: Observed Year: 1990 Ex: 2.000000","Age: 100 ex_fr_female$Type: Observed Year: 1991 Ex: 2.060000","Age: 100 ex_fr_female$Type: Observed Year: 1992 Ex: 2.080000","Age: 100 ex_fr_female$Type: Observed Year: 1993 Ex: 2.050000","Age: 100 ex_fr_female$Type: Observed Year: 1994 Ex: 2.130000","Age: 100 ex_fr_female$Type: Observed Year: 1995 Ex: 2.080000","Age: 100 ex_fr_female$Type: Observed Year: 1996 Ex: 2.070000","Age: 100 ex_fr_female$Type: Observed Year: 1997 Ex: 2.080000","Age: 100 ex_fr_female$Type: Observed Year: 1998 Ex: 2.080000","Age: 100 ex_fr_female$Type: Observed Year: 1999 Ex: 2.080000","Age: 100 ex_fr_female$Type: Observed Year: 2000 Ex: 2.110000","Age: 100 ex_fr_female$Type: Observed Year: 2001 Ex: 2.120000","Age: 100 ex_fr_female$Type: Observed Year: 2002 Ex: 2.110000","Age: 100 ex_fr_female$Type: Observed Year: 2003 Ex: 2.000000","Age: 100 ex_fr_female$Type: Observed Year: 2004 Ex: 2.250000","Age: 100 ex_fr_female$Type: Observed Year: 2005 Ex: 2.170000","Age: 100 ex_fr_female$Type: Observed Year: 2006 Ex: 2.270000","Age: 100 ex_fr_female$Type: Observed Year: 2007 Ex: 2.280000","Age: 100 ex_fr_female$Type: Observed Year: 2008 Ex: 2.240000","Age: 100 ex_fr_female$Type: Observed Year: 2009 Ex: 2.240000","Age: 100 ex_fr_female$Type: Observed Year: 2010 Ex: 2.260000","Age: 100 ex_fr_female$Type: Observed Year: 2011 Ex: 2.300000","Age: 100 ex_fr_female$Type: Observed Year: 2012 Ex: 2.180000","Age: 100 ex_fr_female$Type: Observed Year: 2013 Ex: 2.220000","Age: 100 ex_fr_female$Type: Observed Year: 2014 Ex: 2.320000","Age: 100 ex_fr_female$Type: Observed Year: 2015 Ex: 2.180000","Age: 100 ex_fr_female$Type: Observed Year: 2016 Ex: 2.220000","Age: 100 ex_fr_female$Type: Observed Year: 2017 Ex: 2.170000"],"frame":"100","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[3.09451257554267,2.85295635778446,2.85411161677182,2.92749125055146,2.85236351656242,3.10079810542422,2.78308450950993,2.74122600738164,3.13560962327226,2.86297830564482,2.691611403497,3.05735140743205,2.97718437332402,2.73842849884478,2.86480525026207,2.69134729196332,2.71716532540301,2.88545180558226,2.8102560103057,2.7349275191518,2.79536481293825,2.56849363740875,2.79564030714705,2.96488621068787,2.61500315121818,2.71075631035049,2.67872198350459,2.70162989655256,2.69915195095609,2.79780275281141,2.46801427288133,2.37183966692528,2.51767688193974,2.51679730220693,2.61605091108115,2.43206911160847,2.48195045182487,2.29270017845195,2.26189851577195,2.09306447520697,2.22574053803507,2.21414971006112,2.18931914578598,2.2465623237322,2.35823866751622,2.32910305669303,2.3372077748734,2.3399919574961,2.29870668821603,2.22518839144611,2.31172288022769,2.26607309246162,2.25120189451425,2.27266202977547,2.14614495669633,2.02307543014747,2.39530332088491,2.20520899439286,2.26444061412054,2.19946461767298,2.19963165559649,2.17775371263568,2.16854362628626,2.05380930679401,2.27576925473404,2.41024006793202,2.34283988822851,2.1825300353113,2.27861369102109,2.16570366929676,2.13674499071096,2.17700921765852,2.15855389021391,2.27303641445852,2.15213321051203,2.0328419060226,2.05600739990159,2.05154666381631,2.05624793228625,1.9664295171972,2.13302847188262,2.32009175066147,2.17113479325297,2.07063442979945,2.07875118312966,2.1404184223868,2.16153432071428,2.16573889564158,2.10254188593903,2.03305486254766,2.0326678520643,2.08716045615132,2.15918762775213,2.09920656442697,2.15897450889059,1.99037588763872,2.21162301536275,2.20876249105879,2.02611277887945,2.10177536258703,2.05435958193572,1.97883372838476,2.03666241419706,1.97332113307356,2.17623573990761,2.110203796587,2.05043019341631,2.15578634948934,2.15734894825806,2.03691443937609,2.09828642465366,2.07669037286258,2.08386204943642,1.96538620387694,2.27106448297343,2.05271129074066,2.10001747225563,2.05692266431145,2.23509763439421,2.11080055156474,2.17059478484011,2.17144537046283,2.13692239294938,2.10250290111912,1.82981831920948,1.98797709893046,1.98338615130944,2.03695123852391,1.92082595368246,2.05213001244645,2.23144468960808,2.29173174649878,2.42094644923665,2.14695379763472,2.26063232727747,2.10621639582593,2.24317195320905,2.10037911677268,2.26558010561047,2.2256401579098,2.12894036758423,2.18907633824424,2.27370726996722,2.27276510166226,2.21462371901803,2.32897667450141,2.21178973089029,2.17800435019902,2.34227058869093,2.28319346481894,2.35634287433093,2.31566255916544,2.282250212363,2.32741183352256,2.33761455593778,2.27497675055003,2.37545080516178,2.323939506844,2.33232708697973,2.32517615635014,2.31911847482437,2.41487938589539,2.40635245503083,2.43001159776938,2.37842438701386,2.35447817636183,2.43011311436631,2.34839500396179,2.43530740974358,2.39586006666038,2.40867860923801,2.49852766273695,2.50745805921714,2.45102359559269,2.45649656715565,2.50827765557465,2.52671396615306,2.49910062471384,2.57663305301797,2.5246701445066,2.51721002266015,2.53303366693111,2.53235599300416,2.52735870634687,2.55552657080413,2.56284187239038,2.55481713869012,2.45360146746072,2.69434416766254,2.61673791350639,2.71115724611391,2.71719576350965,2.68076206251432,2.67849050062471,2.70227996483716,2.73770107441309,2.62313269888119,2.66311131165926,2.75729954061739,2.61788033639891,2.66107402797779,2.60615791486304],"text":["Age: 100 ex_fr_female$Type: Predicted Year: 1816 Ex: 3.094513","Age: 100 ex_fr_female$Type: Predicted Year: 1817 Ex: 2.852956","Age: 100 ex_fr_female$Type: Predicted Year: 1818 Ex: 2.854112","Age: 100 ex_fr_female$Type: Predicted Year: 1819 Ex: 2.927491","Age: 100 ex_fr_female$Type: Predicted Year: 1820 Ex: 2.852364","Age: 100 ex_fr_female$Type: Predicted Year: 1821 Ex: 3.100798","Age: 100 ex_fr_female$Type: Predicted Year: 1822 Ex: 2.783085","Age: 100 ex_fr_female$Type: Predicted Year: 1823 Ex: 2.741226","Age: 100 ex_fr_female$Type: Predicted Year: 1824 Ex: 3.135610","Age: 100 ex_fr_female$Type: Predicted Year: 1825 Ex: 2.862978","Age: 100 ex_fr_female$Type: Predicted Year: 1826 Ex: 2.691611","Age: 100 ex_fr_female$Type: Predicted Year: 1827 Ex: 3.057351","Age: 100 ex_fr_female$Type: Predicted Year: 1828 Ex: 2.977184","Age: 100 ex_fr_female$Type: Predicted Year: 1829 Ex: 2.738428","Age: 100 ex_fr_female$Type: Predicted Year: 1830 Ex: 2.864805","Age: 100 ex_fr_female$Type: Predicted Year: 1831 Ex: 2.691347","Age: 100 ex_fr_female$Type: Predicted Year: 1832 Ex: 2.717165","Age: 100 ex_fr_female$Type: Predicted Year: 1833 Ex: 2.885452","Age: 100 ex_fr_female$Type: Predicted Year: 1834 Ex: 2.810256","Age: 100 ex_fr_female$Type: Predicted Year: 1835 Ex: 2.734928","Age: 100 ex_fr_female$Type: Predicted Year: 1836 Ex: 2.795365","Age: 100 ex_fr_female$Type: Predicted Year: 1837 Ex: 2.568494","Age: 100 ex_fr_female$Type: Predicted Year: 1838 Ex: 2.795640","Age: 100 ex_fr_female$Type: Predicted Year: 1839 Ex: 2.964886","Age: 100 ex_fr_female$Type: Predicted Year: 1840 Ex: 2.615003","Age: 100 ex_fr_female$Type: Predicted Year: 1841 Ex: 2.710756","Age: 100 ex_fr_female$Type: Predicted Year: 1842 Ex: 2.678722","Age: 100 ex_fr_female$Type: Predicted Year: 1843 Ex: 2.701630","Age: 100 ex_fr_female$Type: Predicted Year: 1844 Ex: 2.699152","Age: 100 ex_fr_female$Type: Predicted Year: 1845 Ex: 2.797803","Age: 100 ex_fr_female$Type: Predicted Year: 1846 Ex: 2.468014","Age: 100 ex_fr_female$Type: Predicted Year: 1847 Ex: 2.371840","Age: 100 ex_fr_female$Type: Predicted Year: 1848 Ex: 2.517677","Age: 100 ex_fr_female$Type: Predicted Year: 1849 Ex: 2.516797","Age: 100 ex_fr_female$Type: Predicted Year: 1850 Ex: 2.616051","Age: 100 ex_fr_female$Type: Predicted Year: 1851 Ex: 2.432069","Age: 100 ex_fr_female$Type: Predicted Year: 1852 Ex: 2.481950","Age: 100 ex_fr_female$Type: Predicted Year: 1853 Ex: 2.292700","Age: 100 ex_fr_female$Type: Predicted Year: 1854 Ex: 2.261899","Age: 100 ex_fr_female$Type: Predicted Year: 1855 Ex: 2.093064","Age: 100 ex_fr_female$Type: Predicted Year: 1856 Ex: 2.225741","Age: 100 ex_fr_female$Type: Predicted Year: 1857 Ex: 2.214150","Age: 100 ex_fr_female$Type: Predicted Year: 1858 Ex: 2.189319","Age: 100 ex_fr_female$Type: Predicted Year: 1859 Ex: 2.246562","Age: 100 ex_fr_female$Type: Predicted Year: 1860 Ex: 2.358239","Age: 100 ex_fr_female$Type: Predicted Year: 1861 Ex: 2.329103","Age: 100 ex_fr_female$Type: Predicted Year: 1862 Ex: 2.337208","Age: 100 ex_fr_female$Type: Predicted Year: 1863 Ex: 2.339992","Age: 100 ex_fr_female$Type: Predicted Year: 1864 Ex: 2.298707","Age: 100 ex_fr_female$Type: Predicted Year: 1865 Ex: 2.225188","Age: 100 ex_fr_female$Type: Predicted Year: 1866 Ex: 2.311723","Age: 100 ex_fr_female$Type: Predicted Year: 1867 Ex: 2.266073","Age: 100 ex_fr_female$Type: Predicted Year: 1868 Ex: 2.251202","Age: 100 ex_fr_female$Type: Predicted Year: 1869 Ex: 2.272662","Age: 100 ex_fr_female$Type: Predicted Year: 1870 Ex: 2.146145","Age: 100 ex_fr_female$Type: Predicted Year: 1871 Ex: 2.023075","Age: 100 ex_fr_female$Type: Predicted Year: 1872 Ex: 2.395303","Age: 100 ex_fr_female$Type: Predicted Year: 1873 Ex: 2.205209","Age: 100 ex_fr_female$Type: Predicted Year: 1874 Ex: 2.264441","Age: 100 ex_fr_female$Type: Predicted Year: 1875 Ex: 2.199465","Age: 100 ex_fr_female$Type: Predicted Year: 1876 Ex: 2.199632","Age: 100 ex_fr_female$Type: Predicted Year: 1877 Ex: 2.177754","Age: 100 ex_fr_female$Type: Predicted Year: 1878 Ex: 2.168544","Age: 100 ex_fr_female$Type: Predicted Year: 1879 Ex: 2.053809","Age: 100 ex_fr_female$Type: Predicted Year: 1880 Ex: 2.275769","Age: 100 ex_fr_female$Type: Predicted Year: 1881 Ex: 2.410240","Age: 100 ex_fr_female$Type: Predicted Year: 1882 Ex: 2.342840","Age: 100 ex_fr_female$Type: Predicted Year: 1883 Ex: 2.182530","Age: 100 ex_fr_female$Type: Predicted Year: 1884 Ex: 2.278614","Age: 100 ex_fr_female$Type: Predicted Year: 1885 Ex: 2.165704","Age: 100 ex_fr_female$Type: Predicted Year: 1886 Ex: 2.136745","Age: 100 ex_fr_female$Type: Predicted Year: 1887 Ex: 2.177009","Age: 100 ex_fr_female$Type: Predicted Year: 1888 Ex: 2.158554","Age: 100 ex_fr_female$Type: Predicted Year: 1889 Ex: 2.273036","Age: 100 ex_fr_female$Type: Predicted Year: 1890 Ex: 2.152133","Age: 100 ex_fr_female$Type: Predicted Year: 1891 Ex: 2.032842","Age: 100 ex_fr_female$Type: Predicted Year: 1892 Ex: 2.056007","Age: 100 ex_fr_female$Type: Predicted Year: 1893 Ex: 2.051547","Age: 100 ex_fr_female$Type: Predicted Year: 1894 Ex: 2.056248","Age: 100 ex_fr_female$Type: Predicted Year: 1895 Ex: 1.966430","Age: 100 ex_fr_female$Type: Predicted Year: 1896 Ex: 2.133028","Age: 100 ex_fr_female$Type: Predicted Year: 1897 Ex: 2.320092","Age: 100 ex_fr_female$Type: Predicted Year: 1898 Ex: 2.171135","Age: 100 ex_fr_female$Type: Predicted Year: 1899 Ex: 2.070634","Age: 100 ex_fr_female$Type: Predicted Year: 1900 Ex: 2.078751","Age: 100 ex_fr_female$Type: Predicted Year: 1901 Ex: 2.140418","Age: 100 ex_fr_female$Type: Predicted Year: 1902 Ex: 2.161534","Age: 100 ex_fr_female$Type: Predicted Year: 1903 Ex: 2.165739","Age: 100 ex_fr_female$Type: Predicted Year: 1904 Ex: 2.102542","Age: 100 ex_fr_female$Type: Predicted Year: 1905 Ex: 2.033055","Age: 100 ex_fr_female$Type: Predicted Year: 1906 Ex: 2.032668","Age: 100 ex_fr_female$Type: Predicted Year: 1907 Ex: 2.087160","Age: 100 ex_fr_female$Type: Predicted Year: 1908 Ex: 2.159188","Age: 100 ex_fr_female$Type: Predicted Year: 1909 Ex: 2.099207","Age: 100 ex_fr_female$Type: Predicted Year: 1910 Ex: 2.158975","Age: 100 ex_fr_female$Type: Predicted Year: 1911 Ex: 1.990376","Age: 100 ex_fr_female$Type: Predicted Year: 1912 Ex: 2.211623","Age: 100 ex_fr_female$Type: Predicted Year: 1913 Ex: 2.208762","Age: 100 ex_fr_female$Type: Predicted Year: 1914 Ex: 2.026113","Age: 100 ex_fr_female$Type: Predicted Year: 1915 Ex: 2.101775","Age: 100 ex_fr_female$Type: Predicted Year: 1916 Ex: 2.054360","Age: 100 ex_fr_female$Type: Predicted Year: 1917 Ex: 1.978834","Age: 100 ex_fr_female$Type: Predicted Year: 1918 Ex: 2.036662","Age: 100 ex_fr_female$Type: Predicted Year: 1919 Ex: 1.973321","Age: 100 ex_fr_female$Type: Predicted Year: 1920 Ex: 2.176236","Age: 100 ex_fr_female$Type: Predicted Year: 1921 Ex: 2.110204","Age: 100 ex_fr_female$Type: Predicted Year: 1922 Ex: 2.050430","Age: 100 ex_fr_female$Type: Predicted Year: 1923 Ex: 2.155786","Age: 100 ex_fr_female$Type: Predicted Year: 1924 Ex: 2.157349","Age: 100 ex_fr_female$Type: Predicted Year: 1925 Ex: 2.036914","Age: 100 ex_fr_female$Type: Predicted Year: 1926 Ex: 2.098286","Age: 100 ex_fr_female$Type: Predicted Year: 1927 Ex: 2.076690","Age: 100 ex_fr_female$Type: Predicted Year: 1928 Ex: 2.083862","Age: 100 ex_fr_female$Type: Predicted Year: 1929 Ex: 1.965386","Age: 100 ex_fr_female$Type: Predicted Year: 1930 Ex: 2.271064","Age: 100 ex_fr_female$Type: Predicted Year: 1931 Ex: 2.052711","Age: 100 ex_fr_female$Type: Predicted Year: 1932 Ex: 2.100017","Age: 100 ex_fr_female$Type: Predicted Year: 1933 Ex: 2.056923","Age: 100 ex_fr_female$Type: Predicted Year: 1934 Ex: 2.235098","Age: 100 ex_fr_female$Type: Predicted Year: 1935 Ex: 2.110801","Age: 100 ex_fr_female$Type: Predicted Year: 1936 Ex: 2.170595","Age: 100 ex_fr_female$Type: Predicted Year: 1937 Ex: 2.171445","Age: 100 ex_fr_female$Type: Predicted Year: 1938 Ex: 2.136922","Age: 100 ex_fr_female$Type: Predicted Year: 1939 Ex: 2.102503","Age: 100 ex_fr_female$Type: Predicted Year: 1940 Ex: 1.829818","Age: 100 ex_fr_female$Type: Predicted Year: 1941 Ex: 1.987977","Age: 100 ex_fr_female$Type: Predicted Year: 1942 Ex: 1.983386","Age: 100 ex_fr_female$Type: Predicted Year: 1943 Ex: 2.036951","Age: 100 ex_fr_female$Type: Predicted Year: 1944 Ex: 1.920826","Age: 100 ex_fr_female$Type: Predicted Year: 1945 Ex: 2.052130","Age: 100 ex_fr_female$Type: Predicted Year: 1946 Ex: 2.231445","Age: 100 ex_fr_female$Type: Predicted Year: 1947 Ex: 2.291732","Age: 100 ex_fr_female$Type: Predicted Year: 1948 Ex: 2.420946","Age: 100 ex_fr_female$Type: Predicted Year: 1949 Ex: 2.146954","Age: 100 ex_fr_female$Type: Predicted Year: 1950 Ex: 2.260632","Age: 100 ex_fr_female$Type: Predicted Year: 1951 Ex: 2.106216","Age: 100 ex_fr_female$Type: Predicted Year: 1952 Ex: 2.243172","Age: 100 ex_fr_female$Type: Predicted Year: 1953 Ex: 2.100379","Age: 100 ex_fr_female$Type: Predicted Year: 1954 Ex: 2.265580","Age: 100 ex_fr_female$Type: Predicted Year: 1955 Ex: 2.225640","Age: 100 ex_fr_female$Type: Predicted Year: 1956 Ex: 2.128940","Age: 100 ex_fr_female$Type: Predicted Year: 1957 Ex: 2.189076","Age: 100 ex_fr_female$Type: Predicted Year: 1958 Ex: 2.273707","Age: 100 ex_fr_female$Type: Predicted Year: 1959 Ex: 2.272765","Age: 100 ex_fr_female$Type: Predicted Year: 1960 Ex: 2.214624","Age: 100 ex_fr_female$Type: Predicted Year: 1961 Ex: 2.328977","Age: 100 ex_fr_female$Type: Predicted Year: 1962 Ex: 2.211790","Age: 100 ex_fr_female$Type: Predicted Year: 1963 Ex: 2.178004","Age: 100 ex_fr_female$Type: Predicted Year: 1964 Ex: 2.342271","Age: 100 ex_fr_female$Type: Predicted Year: 1965 Ex: 2.283193","Age: 100 ex_fr_female$Type: Predicted Year: 1966 Ex: 2.356343","Age: 100 ex_fr_female$Type: Predicted Year: 1967 Ex: 2.315663","Age: 100 ex_fr_female$Type: Predicted Year: 1968 Ex: 2.282250","Age: 100 ex_fr_female$Type: Predicted Year: 1969 Ex: 2.327412","Age: 100 ex_fr_female$Type: Predicted Year: 1970 Ex: 2.337615","Age: 100 ex_fr_female$Type: Predicted Year: 1971 Ex: 2.274977","Age: 100 ex_fr_female$Type: Predicted Year: 1972 Ex: 2.375451","Age: 100 ex_fr_female$Type: Predicted Year: 1973 Ex: 2.323940","Age: 100 ex_fr_female$Type: Predicted Year: 1974 Ex: 2.332327","Age: 100 ex_fr_female$Type: Predicted Year: 1975 Ex: 2.325176","Age: 100 ex_fr_female$Type: Predicted Year: 1976 Ex: 2.319118","Age: 100 ex_fr_female$Type: Predicted Year: 1977 Ex: 2.414879","Age: 100 ex_fr_female$Type: Predicted Year: 1978 Ex: 2.406352","Age: 100 ex_fr_female$Type: Predicted Year: 1979 Ex: 2.430012","Age: 100 ex_fr_female$Type: Predicted Year: 1980 Ex: 2.378424","Age: 100 ex_fr_female$Type: Predicted Year: 1981 Ex: 2.354478","Age: 100 ex_fr_female$Type: Predicted Year: 1982 Ex: 2.430113","Age: 100 ex_fr_female$Type: Predicted Year: 1983 Ex: 2.348395","Age: 100 ex_fr_female$Type: Predicted Year: 1984 Ex: 2.435307","Age: 100 ex_fr_female$Type: Predicted Year: 1985 Ex: 2.395860","Age: 100 ex_fr_female$Type: Predicted Year: 1986 Ex: 2.408679","Age: 100 ex_fr_female$Type: Predicted Year: 1987 Ex: 2.498528","Age: 100 ex_fr_female$Type: Predicted Year: 1988 Ex: 2.507458","Age: 100 ex_fr_female$Type: Predicted Year: 1989 Ex: 2.451024","Age: 100 ex_fr_female$Type: Predicted Year: 1990 Ex: 2.456497","Age: 100 ex_fr_female$Type: Predicted Year: 1991 Ex: 2.508278","Age: 100 ex_fr_female$Type: Predicted Year: 1992 Ex: 2.526714","Age: 100 ex_fr_female$Type: Predicted Year: 1993 Ex: 2.499101","Age: 100 ex_fr_female$Type: Predicted Year: 1994 Ex: 2.576633","Age: 100 ex_fr_female$Type: Predicted Year: 1995 Ex: 2.524670","Age: 100 ex_fr_female$Type: Predicted Year: 1996 Ex: 2.517210","Age: 100 ex_fr_female$Type: Predicted Year: 1997 Ex: 2.533034","Age: 100 ex_fr_female$Type: Predicted Year: 1998 Ex: 2.532356","Age: 100 ex_fr_female$Type: Predicted Year: 1999 Ex: 2.527359","Age: 100 ex_fr_female$Type: Predicted Year: 2000 Ex: 2.555527","Age: 100 ex_fr_female$Type: Predicted Year: 2001 Ex: 2.562842","Age: 100 ex_fr_female$Type: Predicted Year: 2002 Ex: 2.554817","Age: 100 ex_fr_female$Type: Predicted Year: 2003 Ex: 2.453601","Age: 100 ex_fr_female$Type: Predicted Year: 2004 Ex: 2.694344","Age: 100 ex_fr_female$Type: Predicted Year: 2005 Ex: 2.616738","Age: 100 ex_fr_female$Type: Predicted Year: 2006 Ex: 2.711157","Age: 100 ex_fr_female$Type: Predicted Year: 2007 Ex: 2.717196","Age: 100 ex_fr_female$Type: Predicted Year: 2008 Ex: 2.680762","Age: 100 ex_fr_female$Type: Predicted Year: 2009 Ex: 2.678491","Age: 100 ex_fr_female$Type: Predicted Year: 2010 Ex: 2.702280","Age: 100 ex_fr_female$Type: Predicted Year: 2011 Ex: 2.737701","Age: 100 ex_fr_female$Type: Predicted Year: 2012 Ex: 2.623133","Age: 100 ex_fr_female$Type: Predicted Year: 2013 Ex: 2.663111","Age: 100 ex_fr_female$Type: Predicted Year: 2014 Ex: 2.757300","Age: 100 ex_fr_female$Type: Predicted Year: 2015 Ex: 2.617880","Age: 100 ex_fr_female$Type: Predicted Year: 2016 Ex: 2.661074","Age: 100 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1926 Ex: 1.560000","Age: 101 ex_fr_female$Type: Observed Year: 1927 Ex: 1.540000","Age: 101 ex_fr_female$Type: Observed Year: 1928 Ex: 1.550000","Age: 101 ex_fr_female$Type: Observed Year: 1929 Ex: 1.440000","Age: 101 ex_fr_female$Type: Observed Year: 1930 Ex: 1.730000","Age: 101 ex_fr_female$Type: Observed Year: 1931 Ex: 1.520000","Age: 101 ex_fr_female$Type: Observed Year: 1932 Ex: 1.560000","Age: 101 ex_fr_female$Type: Observed Year: 1933 Ex: 1.520000","Age: 101 ex_fr_female$Type: Observed Year: 1934 Ex: 1.690000","Age: 101 ex_fr_female$Type: Observed Year: 1935 Ex: 1.570000","Age: 101 ex_fr_female$Type: Observed Year: 1936 Ex: 1.630000","Age: 101 ex_fr_female$Type: Observed Year: 1937 Ex: 1.630000","Age: 101 ex_fr_female$Type: Observed Year: 1938 Ex: 1.600000","Age: 101 ex_fr_female$Type: Observed Year: 1939 Ex: 1.570000","Age: 101 ex_fr_female$Type: Observed Year: 1940 Ex: 1.310000","Age: 101 ex_fr_female$Type: Observed Year: 1941 Ex: 1.460000","Age: 101 ex_fr_female$Type: Observed Year: 1942 Ex: 1.450000","Age: 101 ex_fr_female$Type: Observed Year: 1943 Ex: 1.500000","Age: 101 ex_fr_female$Type: Observed Year: 1944 Ex: 1.390000","Age: 101 ex_fr_female$Type: Observed Year: 1945 Ex: 1.520000","Age: 101 ex_fr_female$Type: Observed Year: 1946 Ex: 1.690000","Age: 101 ex_fr_female$Type: Observed Year: 1947 Ex: 1.750000","Age: 101 ex_fr_female$Type: Observed Year: 1948 Ex: 1.870000","Age: 101 ex_fr_female$Type: Observed Year: 1949 Ex: 1.610000","Age: 101 ex_fr_female$Type: Observed Year: 1950 Ex: 1.710000","Age: 101 ex_fr_female$Type: Observed Year: 1951 Ex: 1.570000","Age: 101 ex_fr_female$Type: Observed Year: 1952 Ex: 1.700000","Age: 101 ex_fr_female$Type: Observed Year: 1953 Ex: 1.560000","Age: 101 ex_fr_female$Type: Observed Year: 1954 Ex: 1.720000","Age: 101 ex_fr_female$Type: Observed Year: 1955 Ex: 1.680000","Age: 101 ex_fr_female$Type: Observed Year: 1956 Ex: 1.590000","Age: 101 ex_fr_female$Type: Observed Year: 1957 Ex: 1.640000","Age: 101 ex_fr_female$Type: Observed Year: 1958 Ex: 1.730000","Age: 101 ex_fr_female$Type: Observed Year: 1959 Ex: 1.720000","Age: 101 ex_fr_female$Type: Observed Year: 1960 Ex: 1.670000","Age: 101 ex_fr_female$Type: Observed Year: 1961 Ex: 1.780000","Age: 101 ex_fr_female$Type: Observed Year: 1962 Ex: 1.670000","Age: 101 ex_fr_female$Type: Observed Year: 1963 Ex: 1.630000","Age: 101 ex_fr_female$Type: Observed Year: 1964 Ex: 1.790000","Age: 101 ex_fr_female$Type: Observed Year: 1965 Ex: 1.730000","Age: 101 ex_fr_female$Type: Observed Year: 1966 Ex: 1.800000","Age: 101 ex_fr_female$Type: Observed Year: 1967 Ex: 1.760000","Age: 101 ex_fr_female$Type: Observed Year: 1968 Ex: 1.730000","Age: 101 ex_fr_female$Type: Observed Year: 1969 Ex: 1.770000","Age: 101 ex_fr_female$Type: Observed Year: 1970 Ex: 1.780000","Age: 101 ex_fr_female$Type: Observed Year: 1971 Ex: 1.720000","Age: 101 ex_fr_female$Type: Observed Year: 1972 Ex: 1.820000","Age: 101 ex_fr_female$Type: Observed Year: 1973 Ex: 1.770000","Age: 101 ex_fr_female$Type: Observed Year: 1974 Ex: 1.780000","Age: 101 ex_fr_female$Type: Observed Year: 1975 Ex: 1.770000","Age: 101 ex_fr_female$Type: Observed Year: 1976 Ex: 1.760000","Age: 101 ex_fr_female$Type: Observed Year: 1977 Ex: 1.850000","Age: 101 ex_fr_female$Type: Observed Year: 1978 Ex: 1.850000","Age: 101 ex_fr_female$Type: Observed Year: 1979 Ex: 1.870000","Age: 101 ex_fr_female$Type: Observed Year: 1980 Ex: 1.820000","Age: 101 ex_fr_female$Type: Observed Year: 1981 Ex: 1.800000","Age: 101 ex_fr_female$Type: Observed Year: 1982 Ex: 1.870000","Age: 101 ex_fr_female$Type: Observed Year: 1983 Ex: 1.790000","Age: 101 ex_fr_female$Type: Observed Year: 1984 Ex: 1.870000","Age: 101 ex_fr_female$Type: Observed Year: 1985 Ex: 1.830000","Age: 101 ex_fr_female$Type: Observed Year: 1986 Ex: 1.840000","Age: 101 ex_fr_female$Type: Observed Year: 1987 Ex: 1.930000","Age: 101 ex_fr_female$Type: Observed Year: 1988 Ex: 1.940000","Age: 101 ex_fr_female$Type: Observed Year: 1989 Ex: 1.880000","Age: 101 ex_fr_female$Type: Observed Year: 1990 Ex: 1.890000","Age: 101 ex_fr_female$Type: Observed Year: 1991 Ex: 1.940000","Age: 101 ex_fr_female$Type: Observed Year: 1992 Ex: 1.950000","Age: 101 ex_fr_female$Type: Observed Year: 1993 Ex: 1.930000","Age: 101 ex_fr_female$Type: Observed Year: 1994 Ex: 2.000000","Age: 101 ex_fr_female$Type: Observed Year: 1995 Ex: 1.950000","Age: 101 ex_fr_female$Type: Observed Year: 1996 Ex: 1.940000","Age: 101 ex_fr_female$Type: Observed Year: 1997 Ex: 1.960000","Age: 101 ex_fr_female$Type: Observed Year: 1998 Ex: 1.950000","Age: 101 ex_fr_female$Type: Observed Year: 1999 Ex: 1.950000","Age: 101 ex_fr_female$Type: Observed Year: 2000 Ex: 1.980000","Age: 101 ex_fr_female$Type: Observed Year: 2001 Ex: 1.980000","Age: 101 ex_fr_female$Type: Observed Year: 2002 Ex: 1.970000","Age: 101 ex_fr_female$Type: Observed Year: 2003 Ex: 1.880000","Age: 101 ex_fr_female$Type: Observed Year: 2004 Ex: 2.100000","Age: 101 ex_fr_female$Type: Observed Year: 2005 Ex: 2.030000","Age: 101 ex_fr_female$Type: Observed Year: 2006 Ex: 2.120000","Age: 101 ex_fr_female$Type: Observed Year: 2007 Ex: 2.120000","Age: 101 ex_fr_female$Type: Observed Year: 2008 Ex: 2.090000","Age: 101 ex_fr_female$Type: Observed Year: 2009 Ex: 2.090000","Age: 101 ex_fr_female$Type: Observed Year: 2010 Ex: 2.110000","Age: 101 ex_fr_female$Type: Observed Year: 2011 Ex: 2.140000","Age: 101 ex_fr_female$Type: Observed Year: 2012 Ex: 2.030000","Age: 101 ex_fr_female$Type: Observed Year: 2013 Ex: 2.070000","Age: 101 ex_fr_female$Type: Observed Year: 2014 Ex: 2.160000","Age: 101 ex_fr_female$Type: Observed Year: 2015 Ex: 2.020000","Age: 101 ex_fr_female$Type: Observed Year: 2016 Ex: 2.060000","Age: 101 ex_fr_female$Type: Observed Year: 2017 Ex: 2.010000"],"frame":"101","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[3.02563125844565,2.78050592218073,2.77884612434172,2.85259387487616,2.78494316007926,3.02431150727965,2.70962164762649,2.66752947052853,3.05861033999937,2.78774790338331,2.62273868197203,2.98182917026608,2.90448899686859,2.67016729651066,2.7949931109228,2.62197583821385,2.65150120502626,2.8090756932564,2.73957525581814,2.66178609960523,2.72137761281268,2.50772008057953,2.72521418170802,2.88783034848694,2.54649954232124,2.63792315169955,2.61030469806239,2.63161436458915,2.62873503237232,2.72373743452715,2.39996446172875,2.3121800439901,2.45279698240898,2.45297889297417,2.54533211867329,2.36676130624609,2.41501901380622,2.23329183965492,2.20519160008738,2.04218751110538,2.16473060041549,2.15491954806771,2.13398208016167,2.18858832058522,2.29253198362373,2.26524803517131,2.27145230244751,2.27466832426551,2.23675317427593,2.16549773154612,2.24787716312959,2.20479995104056,2.19175329291764,2.21191100649116,2.09442011890153,1.97609859658887,2.32504715172191,2.14550762341702,2.19961579027798,2.14060974272536,2.13934566985647,2.11688350653862,2.11109017459161,2.002075075336,2.21493207794357,2.34304934969404,2.27687743528261,2.12221222284403,2.21482075859955,2.10472913965777,2.07691870218934,2.11470609669068,2.09917032350974,2.20729818728764,2.09472293115504,1.98125183397085,2.00399847064482,1.99885448434927,2.00160621236585,1.91871803329942,2.0730976630372,2.25334783187357,2.11294742899111,2.01620691076611,2.02659306257884,2.08229455112965,2.1011053588934,2.10618061668207,2.04643387053742,1.98004644316265,1.97934160310638,2.03300660830271,2.09904300097068,2.04408397104028,2.09788978098757,1.94014757783603,2.14681253042173,2.14471705966996,1.97373724799685,2.0450548254627,2.00015656308462,1.92983152877898,1.98369867155737,1.92368370226841,2.11264949841727,2.05012639515669,1.99528728097242,2.09248846286544,2.09496232173522,1.98174037210292,2.03983265998045,2.01911462350081,2.02435652847848,1.91617449773737,2.19979641791497,1.99623792693582,2.0387526080114,1.99843470885193,2.1649623004181,2.04849233677693,2.10456828486274,2.10340563904581,2.07240283063985,2.04090102151796,1.79001541574296,1.93446154330088,1.93017425184181,1.97998797236924,1.87376043295997,1.99414278163702,2.15896200869068,2.21537265059527,2.33554921875677,2.08093719733306,2.18495985350595,2.04150736535296,2.16752084238082,2.03555523248285,2.18758585112218,2.15046416498978,2.06053250229491,2.11485113848971,2.19361912023835,2.19227265132336,2.1378759484898,2.24300781330334,2.13550235284165,2.10390247186887,2.2551018790166,2.20068459301239,2.26769437599833,2.22962998368101,2.19827021014204,2.24046111854699,2.24836770256517,2.18958735275261,2.2830126568263,2.23522538553215,2.24177242181605,2.23508508104824,2.22847875485775,2.31607980150289,2.30872373658161,2.32983721694754,2.28071291738344,2.258795063134,2.32787389281662,2.25206296226839,2.3313128537793,2.29442485122978,2.3052720186652,2.38668347332952,2.3938617459886,2.3402328860141,2.34407407277184,2.39136469454923,2.40692438424814,2.38121826381552,2.45119936254266,2.40261355388623,2.39529589245793,2.40913123997907,2.40819156056272,2.40361790508059,2.42841390589284,2.4339289256049,2.42634642089249,2.33302428356858,2.55198838106593,2.48045771229914,2.56597322556956,2.57093861887349,2.53655928278353,2.53401981946025,2.55482461446212,2.58553248312165,2.47987699666672,2.5154508593927,2.60057549200124,2.47238281094324,2.51109397910119,2.45976611367104],"text":["Age: 101 ex_fr_female$Type: Predicted Year: 1816 Ex: 3.025631","Age: 101 ex_fr_female$Type: Predicted Year: 1817 Ex: 2.780506","Age: 101 ex_fr_female$Type: Predicted Year: 1818 Ex: 2.778846","Age: 101 ex_fr_female$Type: Predicted Year: 1819 Ex: 2.852594","Age: 101 ex_fr_female$Type: Predicted Year: 1820 Ex: 2.784943","Age: 101 ex_fr_female$Type: Predicted Year: 1821 Ex: 3.024312","Age: 101 ex_fr_female$Type: Predicted Year: 1822 Ex: 2.709622","Age: 101 ex_fr_female$Type: Predicted Year: 1823 Ex: 2.667529","Age: 101 ex_fr_female$Type: Predicted Year: 1824 Ex: 3.058610","Age: 101 ex_fr_female$Type: Predicted Year: 1825 Ex: 2.787748","Age: 101 ex_fr_female$Type: Predicted Year: 1826 Ex: 2.622739","Age: 101 ex_fr_female$Type: Predicted Year: 1827 Ex: 2.981829","Age: 101 ex_fr_female$Type: Predicted Year: 1828 Ex: 2.904489","Age: 101 ex_fr_female$Type: Predicted Year: 1829 Ex: 2.670167","Age: 101 ex_fr_female$Type: Predicted Year: 1830 Ex: 2.794993","Age: 101 ex_fr_female$Type: Predicted Year: 1831 Ex: 2.621976","Age: 101 ex_fr_female$Type: Predicted Year: 1832 Ex: 2.651501","Age: 101 ex_fr_female$Type: Predicted Year: 1833 Ex: 2.809076","Age: 101 ex_fr_female$Type: Predicted Year: 1834 Ex: 2.739575","Age: 101 ex_fr_female$Type: Predicted Year: 1835 Ex: 2.661786","Age: 101 ex_fr_female$Type: Predicted Year: 1836 Ex: 2.721378","Age: 101 ex_fr_female$Type: Predicted Year: 1837 Ex: 2.507720","Age: 101 ex_fr_female$Type: Predicted Year: 1838 Ex: 2.725214","Age: 101 ex_fr_female$Type: Predicted Year: 1839 Ex: 2.887830","Age: 101 ex_fr_female$Type: Predicted Year: 1840 Ex: 2.546500","Age: 101 ex_fr_female$Type: Predicted Year: 1841 Ex: 2.637923","Age: 101 ex_fr_female$Type: Predicted Year: 1842 Ex: 2.610305","Age: 101 ex_fr_female$Type: Predicted Year: 1843 Ex: 2.631614","Age: 101 ex_fr_female$Type: Predicted Year: 1844 Ex: 2.628735","Age: 101 ex_fr_female$Type: Predicted Year: 1845 Ex: 2.723737","Age: 101 ex_fr_female$Type: Predicted Year: 1846 Ex: 2.399964","Age: 101 ex_fr_female$Type: Predicted Year: 1847 Ex: 2.312180","Age: 101 ex_fr_female$Type: Predicted Year: 1848 Ex: 2.452797","Age: 101 ex_fr_female$Type: Predicted Year: 1849 Ex: 2.452979","Age: 101 ex_fr_female$Type: Predicted Year: 1850 Ex: 2.545332","Age: 101 ex_fr_female$Type: Predicted Year: 1851 Ex: 2.366761","Age: 101 ex_fr_female$Type: Predicted Year: 1852 Ex: 2.415019","Age: 101 ex_fr_female$Type: Predicted Year: 1853 Ex: 2.233292","Age: 101 ex_fr_female$Type: Predicted Year: 1854 Ex: 2.205192","Age: 101 ex_fr_female$Type: Predicted Year: 1855 Ex: 2.042188","Age: 101 ex_fr_female$Type: Predicted Year: 1856 Ex: 2.164731","Age: 101 ex_fr_female$Type: Predicted Year: 1857 Ex: 2.154920","Age: 101 ex_fr_female$Type: Predicted Year: 1858 Ex: 2.133982","Age: 101 ex_fr_female$Type: Predicted Year: 1859 Ex: 2.188588","Age: 101 ex_fr_female$Type: Predicted Year: 1860 Ex: 2.292532","Age: 101 ex_fr_female$Type: Predicted Year: 1861 Ex: 2.265248","Age: 101 ex_fr_female$Type: Predicted Year: 1862 Ex: 2.271452","Age: 101 ex_fr_female$Type: Predicted Year: 1863 Ex: 2.274668","Age: 101 ex_fr_female$Type: Predicted Year: 1864 Ex: 2.236753","Age: 101 ex_fr_female$Type: Predicted Year: 1865 Ex: 2.165498","Age: 101 ex_fr_female$Type: Predicted Year: 1866 Ex: 2.247877","Age: 101 ex_fr_female$Type: Predicted Year: 1867 Ex: 2.204800","Age: 101 ex_fr_female$Type: Predicted Year: 1868 Ex: 2.191753","Age: 101 ex_fr_female$Type: Predicted Year: 1869 Ex: 2.211911","Age: 101 ex_fr_female$Type: Predicted Year: 1870 Ex: 2.094420","Age: 101 ex_fr_female$Type: Predicted Year: 1871 Ex: 1.976099","Age: 101 ex_fr_female$Type: Predicted Year: 1872 Ex: 2.325047","Age: 101 ex_fr_female$Type: Predicted Year: 1873 Ex: 2.145508","Age: 101 ex_fr_female$Type: Predicted Year: 1874 Ex: 2.199616","Age: 101 ex_fr_female$Type: Predicted Year: 1875 Ex: 2.140610","Age: 101 ex_fr_female$Type: Predicted Year: 1876 Ex: 2.139346","Age: 101 ex_fr_female$Type: Predicted Year: 1877 Ex: 2.116884","Age: 101 ex_fr_female$Type: Predicted Year: 1878 Ex: 2.111090","Age: 101 ex_fr_female$Type: Predicted Year: 1879 Ex: 2.002075","Age: 101 ex_fr_female$Type: Predicted Year: 1880 Ex: 2.214932","Age: 101 ex_fr_female$Type: Predicted Year: 1881 Ex: 2.343049","Age: 101 ex_fr_female$Type: Predicted Year: 1882 Ex: 2.276877","Age: 101 ex_fr_female$Type: Predicted Year: 1883 Ex: 2.122212","Age: 101 ex_fr_female$Type: Predicted Year: 1884 Ex: 2.214821","Age: 101 ex_fr_female$Type: Predicted Year: 1885 Ex: 2.104729","Age: 101 ex_fr_female$Type: Predicted Year: 1886 Ex: 2.076919","Age: 101 ex_fr_female$Type: Predicted Year: 1887 Ex: 2.114706","Age: 101 ex_fr_female$Type: Predicted Year: 1888 Ex: 2.099170","Age: 101 ex_fr_female$Type: Predicted Year: 1889 Ex: 2.207298","Age: 101 ex_fr_female$Type: Predicted Year: 1890 Ex: 2.094723","Age: 101 ex_fr_female$Type: Predicted Year: 1891 Ex: 1.981252","Age: 101 ex_fr_female$Type: Predicted Year: 1892 Ex: 2.003998","Age: 101 ex_fr_female$Type: Predicted Year: 1893 Ex: 1.998854","Age: 101 ex_fr_female$Type: Predicted Year: 1894 Ex: 2.001606","Age: 101 ex_fr_female$Type: Predicted Year: 1895 Ex: 1.918718","Age: 101 ex_fr_female$Type: Predicted Year: 1896 Ex: 2.073098","Age: 101 ex_fr_female$Type: Predicted Year: 1897 Ex: 2.253348","Age: 101 ex_fr_female$Type: Predicted Year: 1898 Ex: 2.112947","Age: 101 ex_fr_female$Type: Predicted Year: 1899 Ex: 2.016207","Age: 101 ex_fr_female$Type: Predicted Year: 1900 Ex: 2.026593","Age: 101 ex_fr_female$Type: Predicted Year: 1901 Ex: 2.082295","Age: 101 ex_fr_female$Type: Predicted Year: 1902 Ex: 2.101105","Age: 101 ex_fr_female$Type: Predicted Year: 1903 Ex: 2.106181","Age: 101 ex_fr_female$Type: Predicted Year: 1904 Ex: 2.046434","Age: 101 ex_fr_female$Type: Predicted Year: 1905 Ex: 1.980046","Age: 101 ex_fr_female$Type: Predicted Year: 1906 Ex: 1.979342","Age: 101 ex_fr_female$Type: Predicted Year: 1907 Ex: 2.033007","Age: 101 ex_fr_female$Type: Predicted Year: 1908 Ex: 2.099043","Age: 101 ex_fr_female$Type: Predicted Year: 1909 Ex: 2.044084","Age: 101 ex_fr_female$Type: Predicted Year: 1910 Ex: 2.097890","Age: 101 ex_fr_female$Type: Predicted Year: 1911 Ex: 1.940148","Age: 101 ex_fr_female$Type: Predicted Year: 1912 Ex: 2.146813","Age: 101 ex_fr_female$Type: Predicted Year: 1913 Ex: 2.144717","Age: 101 ex_fr_female$Type: Predicted Year: 1914 Ex: 1.973737","Age: 101 ex_fr_female$Type: Predicted Year: 1915 Ex: 2.045055","Age: 101 ex_fr_female$Type: Predicted Year: 1916 Ex: 2.000157","Age: 101 ex_fr_female$Type: Predicted Year: 1917 Ex: 1.929832","Age: 101 ex_fr_female$Type: Predicted Year: 1918 Ex: 1.983699","Age: 101 ex_fr_female$Type: Predicted Year: 1919 Ex: 1.923684","Age: 101 ex_fr_female$Type: Predicted Year: 1920 Ex: 2.112649","Age: 101 ex_fr_female$Type: Predicted Year: 1921 Ex: 2.050126","Age: 101 ex_fr_female$Type: Predicted Year: 1922 Ex: 1.995287","Age: 101 ex_fr_female$Type: Predicted Year: 1923 Ex: 2.092488","Age: 101 ex_fr_female$Type: Predicted Year: 1924 Ex: 2.094962","Age: 101 ex_fr_female$Type: Predicted Year: 1925 Ex: 1.981740","Age: 101 ex_fr_female$Type: Predicted Year: 1926 Ex: 2.039833","Age: 101 ex_fr_female$Type: Predicted Year: 1927 Ex: 2.019115","Age: 101 ex_fr_female$Type: Predicted Year: 1928 Ex: 2.024357","Age: 101 ex_fr_female$Type: Predicted Year: 1929 Ex: 1.916174","Age: 101 ex_fr_female$Type: Predicted Year: 1930 Ex: 2.199796","Age: 101 ex_fr_female$Type: Predicted Year: 1931 Ex: 1.996238","Age: 101 ex_fr_female$Type: Predicted Year: 1932 Ex: 2.038753","Age: 101 ex_fr_female$Type: Predicted Year: 1933 Ex: 1.998435","Age: 101 ex_fr_female$Type: Predicted Year: 1934 Ex: 2.164962","Age: 101 ex_fr_female$Type: Predicted Year: 1935 Ex: 2.048492","Age: 101 ex_fr_female$Type: Predicted Year: 1936 Ex: 2.104568","Age: 101 ex_fr_female$Type: Predicted Year: 1937 Ex: 2.103406","Age: 101 ex_fr_female$Type: Predicted Year: 1938 Ex: 2.072403","Age: 101 ex_fr_female$Type: Predicted Year: 1939 Ex: 2.040901","Age: 101 ex_fr_female$Type: Predicted Year: 1940 Ex: 1.790015","Age: 101 ex_fr_female$Type: Predicted Year: 1941 Ex: 1.934462","Age: 101 ex_fr_female$Type: Predicted Year: 1942 Ex: 1.930174","Age: 101 ex_fr_female$Type: Predicted Year: 1943 Ex: 1.979988","Age: 101 ex_fr_female$Type: Predicted Year: 1944 Ex: 1.873760","Age: 101 ex_fr_female$Type: Predicted Year: 1945 Ex: 1.994143","Age: 101 ex_fr_female$Type: Predicted Year: 1946 Ex: 2.158962","Age: 101 ex_fr_female$Type: Predicted Year: 1947 Ex: 2.215373","Age: 101 ex_fr_female$Type: Predicted Year: 1948 Ex: 2.335549","Age: 101 ex_fr_female$Type: Predicted Year: 1949 Ex: 2.080937","Age: 101 ex_fr_female$Type: Predicted Year: 1950 Ex: 2.184960","Age: 101 ex_fr_female$Type: Predicted Year: 1951 Ex: 2.041507","Age: 101 ex_fr_female$Type: Predicted Year: 1952 Ex: 2.167521","Age: 101 ex_fr_female$Type: Predicted Year: 1953 Ex: 2.035555","Age: 101 ex_fr_female$Type: Predicted Year: 1954 Ex: 2.187586","Age: 101 ex_fr_female$Type: Predicted Year: 1955 Ex: 2.150464","Age: 101 ex_fr_female$Type: Predicted Year: 1956 Ex: 2.060533","Age: 101 ex_fr_female$Type: Predicted Year: 1957 Ex: 2.114851","Age: 101 ex_fr_female$Type: Predicted Year: 1958 Ex: 2.193619","Age: 101 ex_fr_female$Type: Predicted Year: 1959 Ex: 2.192273","Age: 101 ex_fr_female$Type: Predicted Year: 1960 Ex: 2.137876","Age: 101 ex_fr_female$Type: Predicted Year: 1961 Ex: 2.243008","Age: 101 ex_fr_female$Type: Predicted Year: 1962 Ex: 2.135502","Age: 101 ex_fr_female$Type: Predicted Year: 1963 Ex: 2.103902","Age: 101 ex_fr_female$Type: Predicted Year: 1964 Ex: 2.255102","Age: 101 ex_fr_female$Type: Predicted Year: 1965 Ex: 2.200685","Age: 101 ex_fr_female$Type: Predicted Year: 1966 Ex: 2.267694","Age: 101 ex_fr_female$Type: Predicted Year: 1967 Ex: 2.229630","Age: 101 ex_fr_female$Type: Predicted Year: 1968 Ex: 2.198270","Age: 101 ex_fr_female$Type: Predicted Year: 1969 Ex: 2.240461","Age: 101 ex_fr_female$Type: Predicted Year: 1970 Ex: 2.248368","Age: 101 ex_fr_female$Type: Predicted Year: 1971 Ex: 2.189587","Age: 101 ex_fr_female$Type: Predicted Year: 1972 Ex: 2.283013","Age: 101 ex_fr_female$Type: Predicted Year: 1973 Ex: 2.235225","Age: 101 ex_fr_female$Type: Predicted Year: 1974 Ex: 2.241772","Age: 101 ex_fr_female$Type: Predicted Year: 1975 Ex: 2.235085","Age: 101 ex_fr_female$Type: Predicted Year: 1976 Ex: 2.228479","Age: 101 ex_fr_female$Type: Predicted Year: 1977 Ex: 2.316080","Age: 101 ex_fr_female$Type: Predicted Year: 1978 Ex: 2.308724","Age: 101 ex_fr_female$Type: Predicted Year: 1979 Ex: 2.329837","Age: 101 ex_fr_female$Type: Predicted Year: 1980 Ex: 2.280713","Age: 101 ex_fr_female$Type: Predicted Year: 1981 Ex: 2.258795","Age: 101 ex_fr_female$Type: Predicted Year: 1982 Ex: 2.327874","Age: 101 ex_fr_female$Type: Predicted Year: 1983 Ex: 2.252063","Age: 101 ex_fr_female$Type: Predicted Year: 1984 Ex: 2.331313","Age: 101 ex_fr_female$Type: Predicted Year: 1985 Ex: 2.294425","Age: 101 ex_fr_female$Type: Predicted Year: 1986 Ex: 2.305272","Age: 101 ex_fr_female$Type: Predicted Year: 1987 Ex: 2.386683","Age: 101 ex_fr_female$Type: Predicted Year: 1988 Ex: 2.393862","Age: 101 ex_fr_female$Type: Predicted Year: 1989 Ex: 2.340233","Age: 101 ex_fr_female$Type: Predicted Year: 1990 Ex: 2.344074","Age: 101 ex_fr_female$Type: Predicted Year: 1991 Ex: 2.391365","Age: 101 ex_fr_female$Type: Predicted Year: 1992 Ex: 2.406924","Age: 101 ex_fr_female$Type: Predicted Year: 1993 Ex: 2.381218","Age: 101 ex_fr_female$Type: Predicted Year: 1994 Ex: 2.451199","Age: 101 ex_fr_female$Type: Predicted Year: 1995 Ex: 2.402614","Age: 101 ex_fr_female$Type: Predicted Year: 1996 Ex: 2.395296","Age: 101 ex_fr_female$Type: Predicted Year: 1997 Ex: 2.409131","Age: 101 ex_fr_female$Type: Predicted Year: 1998 Ex: 2.408192","Age: 101 ex_fr_female$Type: Predicted Year: 1999 Ex: 2.403618","Age: 101 ex_fr_female$Type: Predicted Year: 2000 Ex: 2.428414","Age: 101 ex_fr_female$Type: Predicted Year: 2001 Ex: 2.433929","Age: 101 ex_fr_female$Type: Predicted Year: 2002 Ex: 2.426346","Age: 101 ex_fr_female$Type: Predicted Year: 2003 Ex: 2.333024","Age: 101 ex_fr_female$Type: Predicted Year: 2004 Ex: 2.551988","Age: 101 ex_fr_female$Type: Predicted Year: 2005 Ex: 2.480458","Age: 101 ex_fr_female$Type: Predicted Year: 2006 Ex: 2.565973","Age: 101 ex_fr_female$Type: Predicted Year: 2007 Ex: 2.570939","Age: 101 ex_fr_female$Type: Predicted Year: 2008 Ex: 2.536559","Age: 101 ex_fr_female$Type: Predicted Year: 2009 Ex: 2.534020","Age: 101 ex_fr_female$Type: Predicted Year: 2010 Ex: 2.554825","Age: 101 ex_fr_female$Type: Predicted Year: 2011 Ex: 2.585532","Age: 101 ex_fr_female$Type: Predicted Year: 2012 Ex: 2.479877","Age: 101 ex_fr_female$Type: Predicted Year: 2013 Ex: 2.515451","Age: 101 ex_fr_female$Type: Predicted Year: 2014 Ex: 2.600575","Age: 101 ex_fr_female$Type: Predicted Year: 2015 Ex: 2.472383","Age: 101 ex_fr_female$Type: Predicted Year: 2016 Ex: 2.511094","Age: 101 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1926 Ex: 1.510000","Age: 102 ex_fr_female$Type: Observed Year: 1927 Ex: 1.490000","Age: 102 ex_fr_female$Type: Observed Year: 1928 Ex: 1.490000","Age: 102 ex_fr_female$Type: Observed Year: 1929 Ex: 1.390000","Age: 102 ex_fr_female$Type: Observed Year: 1930 Ex: 1.660000","Age: 102 ex_fr_female$Type: Observed Year: 1931 Ex: 1.470000","Age: 102 ex_fr_female$Type: Observed Year: 1932 Ex: 1.510000","Age: 102 ex_fr_female$Type: Observed Year: 1933 Ex: 1.470000","Age: 102 ex_fr_female$Type: Observed Year: 1934 Ex: 1.630000","Age: 102 ex_fr_female$Type: Observed Year: 1935 Ex: 1.510000","Age: 102 ex_fr_female$Type: Observed Year: 1936 Ex: 1.570000","Age: 102 ex_fr_female$Type: Observed Year: 1937 Ex: 1.570000","Age: 102 ex_fr_female$Type: Observed Year: 1938 Ex: 1.540000","Age: 102 ex_fr_female$Type: Observed Year: 1939 Ex: 1.510000","Age: 102 ex_fr_female$Type: Observed Year: 1940 Ex: 1.270000","Age: 102 ex_fr_female$Type: Observed Year: 1941 Ex: 1.410000","Age: 102 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1973 Ex: 1.690000","Age: 102 ex_fr_female$Type: Observed Year: 1974 Ex: 1.690000","Age: 102 ex_fr_female$Type: Observed Year: 1975 Ex: 1.690000","Age: 102 ex_fr_female$Type: Observed Year: 1976 Ex: 1.680000","Age: 102 ex_fr_female$Type: Observed Year: 1977 Ex: 1.760000","Age: 102 ex_fr_female$Type: Observed Year: 1978 Ex: 1.750000","Age: 102 ex_fr_female$Type: Observed Year: 1979 Ex: 1.770000","Age: 102 ex_fr_female$Type: Observed Year: 1980 Ex: 1.730000","Age: 102 ex_fr_female$Type: Observed Year: 1981 Ex: 1.710000","Age: 102 ex_fr_female$Type: Observed Year: 1982 Ex: 1.770000","Age: 102 ex_fr_female$Type: Observed Year: 1983 Ex: 1.700000","Age: 102 ex_fr_female$Type: Observed Year: 1984 Ex: 1.770000","Age: 102 ex_fr_female$Type: Observed Year: 1985 Ex: 1.740000","Age: 102 ex_fr_female$Type: Observed Year: 1986 Ex: 1.750000","Age: 102 ex_fr_female$Type: Observed Year: 1987 Ex: 1.820000","Age: 102 ex_fr_female$Type: Observed Year: 1988 Ex: 1.830000","Age: 102 ex_fr_female$Type: Observed Year: 1989 Ex: 1.780000","Age: 102 ex_fr_female$Type: Observed Year: 1990 Ex: 1.780000","Age: 102 ex_fr_female$Type: Observed Year: 1991 Ex: 1.830000","Age: 102 ex_fr_female$Type: Observed Year: 1992 Ex: 1.840000","Age: 102 ex_fr_female$Type: Observed Year: 1993 Ex: 1.820000","Age: 102 ex_fr_female$Type: Observed Year: 1994 Ex: 1.880000","Age: 102 ex_fr_female$Type: Observed Year: 1995 Ex: 1.830000","Age: 102 ex_fr_female$Type: Observed Year: 1996 Ex: 1.830000","Age: 102 ex_fr_female$Type: Observed Year: 1997 Ex: 1.840000","Age: 102 ex_fr_female$Type: Observed Year: 1998 Ex: 1.840000","Age: 102 ex_fr_female$Type: Observed Year: 1999 Ex: 1.830000","Age: 102 ex_fr_female$Type: Observed Year: 2000 Ex: 1.860000","Age: 102 ex_fr_female$Type: Observed Year: 2001 Ex: 1.860000","Age: 102 ex_fr_female$Type: Observed Year: 2002 Ex: 1.850000","Age: 102 ex_fr_female$Type: Observed Year: 2003 Ex: 1.770000","Age: 102 ex_fr_female$Type: Observed Year: 2004 Ex: 1.970000","Age: 102 ex_fr_female$Type: Observed Year: 2005 Ex: 1.900000","Age: 102 ex_fr_female$Type: Observed Year: 2006 Ex: 1.980000","Age: 102 ex_fr_female$Type: Observed Year: 2007 Ex: 1.990000","Age: 102 ex_fr_female$Type: Observed Year: 2008 Ex: 1.950000","Age: 102 ex_fr_female$Type: Observed Year: 2009 Ex: 1.950000","Age: 102 ex_fr_female$Type: Observed Year: 2010 Ex: 1.970000","Age: 102 ex_fr_female$Type: Observed Year: 2011 Ex: 2.000000","Age: 102 ex_fr_female$Type: Observed Year: 2012 Ex: 1.900000","Age: 102 ex_fr_female$Type: Observed Year: 2013 Ex: 1.930000","Age: 102 ex_fr_female$Type: Observed Year: 2014 Ex: 2.010000","Age: 102 ex_fr_female$Type: Observed Year: 2015 Ex: 1.890000","Age: 102 ex_fr_female$Type: Observed Year: 2016 Ex: 1.930000","Age: 102 ex_fr_female$Type: Observed Year: 2017 Ex: 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102 ex_fr_female$Type: Predicted Year: 1816 Ex: 2.960412","Age: 102 ex_fr_female$Type: Predicted Year: 1817 Ex: 2.712373","Age: 102 ex_fr_female$Type: Predicted Year: 1818 Ex: 2.708185","Age: 102 ex_fr_female$Type: Predicted Year: 1819 Ex: 2.782125","Age: 102 ex_fr_female$Type: Predicted Year: 1820 Ex: 2.721342","Age: 102 ex_fr_female$Type: Predicted Year: 1821 Ex: 2.952123","Age: 102 ex_fr_female$Type: Predicted Year: 1822 Ex: 2.640714","Age: 102 ex_fr_female$Type: Predicted Year: 1823 Ex: 2.598513","Age: 102 ex_fr_female$Type: Predicted Year: 1824 Ex: 2.985934","Age: 102 ex_fr_female$Type: Predicted Year: 1825 Ex: 2.717105","Age: 102 ex_fr_female$Type: Predicted Year: 1826 Ex: 2.558148","Age: 102 ex_fr_female$Type: Predicted Year: 1827 Ex: 2.910593","Age: 102 ex_fr_female$Type: Predicted Year: 1828 Ex: 2.835929","Age: 102 ex_fr_female$Type: Predicted Year: 1829 Ex: 2.606001","Age: 102 ex_fr_female$Type: Predicted Year: 1830 Ex: 2.729220","Age: 102 ex_fr_female$Type: Predicted Year: 1831 Ex: 2.556922","Age: 102 ex_fr_female$Type: Predicted Year: 1832 Ex: 2.589735","Age: 102 ex_fr_female$Type: Predicted Year: 1833 Ex: 2.737354","Age: 102 ex_fr_female$Type: Predicted Year: 1834 Ex: 2.673099","Age: 102 ex_fr_female$Type: Predicted Year: 1835 Ex: 2.593271","Age: 102 ex_fr_female$Type: Predicted Year: 1836 Ex: 2.651991","Age: 102 ex_fr_female$Type: Predicted Year: 1837 Ex: 2.450654","Age: 102 ex_fr_female$Type: Predicted Year: 1838 Ex: 2.658998","Age: 102 ex_fr_female$Type: Predicted Year: 1839 Ex: 2.815336","Age: 102 ex_fr_female$Type: Predicted Year: 1840 Ex: 2.482434","Age: 102 ex_fr_female$Type: Predicted Year: 1841 Ex: 2.569760","Age: 102 ex_fr_female$Type: Predicted Year: 1842 Ex: 2.546150","Age: 102 ex_fr_female$Type: Predicted Year: 1843 Ex: 2.565956","Age: 102 ex_fr_female$Type: Predicted Year: 1844 Ex: 2.562763","Age: 102 ex_fr_female$Type: Predicted Year: 1845 Ex: 2.654267","Age: 102 ex_fr_female$Type: Predicted Year: 1846 Ex: 2.336802","Age: 102 ex_fr_female$Type: Predicted Year: 1847 Ex: 2.256706","Age: 102 ex_fr_female$Type: Predicted Year: 1848 Ex: 2.392222","Age: 102 ex_fr_female$Type: Predicted Year: 1849 Ex: 2.393363","Age: 102 ex_fr_female$Type: Predicted Year: 1850 Ex: 2.479313","Age: 102 ex_fr_female$Type: Predicted Year: 1851 Ex: 2.306129","Age: 102 ex_fr_female$Type: Predicted Year: 1852 Ex: 2.352772","Age: 102 ex_fr_female$Type: Predicted Year: 1853 Ex: 2.178383","Age: 102 ex_fr_female$Type: Predicted Year: 1854 Ex: 2.152736","Age: 102 ex_fr_female$Type: Predicted Year: 1855 Ex: 1.995640","Age: 102 ex_fr_female$Type: Predicted Year: 1856 Ex: 2.108823","Age: 102 ex_fr_female$Type: Predicted Year: 1857 Ex: 2.100576","Age: 102 ex_fr_female$Type: Predicted Year: 1858 Ex: 2.083072","Age: 102 ex_fr_female$Type: Predicted Year: 1859 Ex: 2.135139","Age: 102 ex_fr_female$Type: Predicted Year: 1860 Ex: 2.231893","Age: 102 ex_fr_female$Type: Predicted Year: 1861 Ex: 2.206338","Age: 102 ex_fr_female$Type: Predicted Year: 1862 Ex: 2.210882","Age: 102 ex_fr_female$Type: Predicted Year: 1863 Ex: 2.214441","Age: 102 ex_fr_female$Type: Predicted Year: 1864 Ex: 2.179629","Age: 102 ex_fr_female$Type: Predicted Year: 1865 Ex: 2.110683","Age: 102 ex_fr_female$Type: Predicted Year: 1866 Ex: 2.189063","Age: 102 ex_fr_female$Type: Predicted Year: 1867 Ex: 2.148427","Age: 102 ex_fr_female$Type: Predicted Year: 1868 Ex: 2.137002","Age: 102 ex_fr_female$Type: Predicted Year: 1869 Ex: 2.155933","Age: 102 ex_fr_female$Type: Predicted Year: 1870 Ex: 2.046823","Age: 102 ex_fr_female$Type: Predicted Year: 1871 Ex: 1.933294","Age: 102 ex_fr_female$Type: Predicted Year: 1872 Ex: 2.260297","Age: 102 ex_fr_female$Type: Predicted Year: 1873 Ex: 2.090824","Age: 102 ex_fr_female$Type: Predicted Year: 1874 Ex: 2.140235","Age: 102 ex_fr_female$Type: Predicted Year: 1875 Ex: 2.086676","Age: 102 ex_fr_female$Type: Predicted Year: 1876 Ex: 2.084221","Age: 102 ex_fr_female$Type: Predicted Year: 1877 Ex: 2.061407","Age: 102 ex_fr_female$Type: Predicted Year: 1878 Ex: 2.058533","Age: 102 ex_fr_female$Type: Predicted Year: 1879 Ex: 1.955102","Age: 102 ex_fr_female$Type: Predicted Year: 1880 Ex: 2.158863","Age: 102 ex_fr_female$Type: Predicted Year: 1881 Ex: 2.280873","Age: 102 ex_fr_female$Type: Predicted Year: 1882 Ex: 2.216087","Age: 102 ex_fr_female$Type: Predicted Year: 1883 Ex: 2.067169","Age: 102 ex_fr_female$Type: Predicted Year: 1884 Ex: 2.156237","Age: 102 ex_fr_female$Type: Predicted Year: 1885 Ex: 2.049264","Age: 102 ex_fr_female$Type: Predicted Year: 1886 Ex: 2.022621","Age: 102 ex_fr_female$Type: Predicted Year: 1887 Ex: 2.058038","Age: 102 ex_fr_female$Type: Predicted Year: 1888 Ex: 2.045073","Age: 102 ex_fr_female$Type: Predicted Year: 1889 Ex: 2.147110","Age: 102 ex_fr_female$Type: Predicted Year: 1890 Ex: 2.042310","Age: 102 ex_fr_female$Type: Predicted Year: 1891 Ex: 1.934581","Age: 102 ex_fr_female$Type: Predicted Year: 1892 Ex: 1.956785","Age: 102 ex_fr_female$Type: Predicted Year: 1893 Ex: 1.951113","Age: 102 ex_fr_female$Type: Predicted Year: 1894 Ex: 1.952252","Age: 102 ex_fr_female$Type: Predicted Year: 1895 Ex: 1.875812","Age: 102 ex_fr_female$Type: Predicted Year: 1896 Ex: 2.018742","Age: 102 ex_fr_female$Type: Predicted Year: 1897 Ex: 2.192007","Age: 102 ex_fr_female$Type: Predicted Year: 1898 Ex: 2.059754","Age: 102 ex_fr_female$Type: Predicted Year: 1899 Ex: 1.966893","Age: 102 ex_fr_female$Type: Predicted Year: 1900 Ex: 1.979083","Age: 102 ex_fr_female$Type: Predicted Year: 1901 Ex: 2.029377","Age: 102 ex_fr_female$Type: Predicted Year: 1902 Ex: 2.046111","Age: 102 ex_fr_female$Type: Predicted Year: 1903 Ex: 2.051893","Age: 102 ex_fr_female$Type: Predicted Year: 1904 Ex: 1.995474","Age: 102 ex_fr_female$Type: Predicted Year: 1905 Ex: 1.932212","Age: 102 ex_fr_female$Type: Predicted Year: 1906 Ex: 1.931260","Age: 102 ex_fr_female$Type: Predicted Year: 1907 Ex: 1.983780","Age: 102 ex_fr_female$Type: Predicted Year: 1908 Ex: 2.044307","Age: 102 ex_fr_female$Type: Predicted Year: 1909 Ex: 1.993977","Age: 102 ex_fr_female$Type: Predicted Year: 1910 Ex: 2.042391","Age: 102 ex_fr_female$Type: Predicted Year: 1911 Ex: 1.894979","Age: 102 ex_fr_female$Type: Predicted Year: 1912 Ex: 2.087809","Age: 102 ex_fr_female$Type: Predicted Year: 1913 Ex: 2.086366","Age: 102 ex_fr_female$Type: Predicted Year: 1914 Ex: 1.926483","Age: 102 ex_fr_female$Type: Predicted Year: 1915 Ex: 1.993591","Age: 102 ex_fr_female$Type: Predicted Year: 1916 Ex: 1.951159","Age: 102 ex_fr_female$Type: Predicted Year: 1917 Ex: 1.885774","Age: 102 ex_fr_female$Type: Predicted Year: 1918 Ex: 1.935883","Age: 102 ex_fr_female$Type: Predicted Year: 1919 Ex: 1.879170","Age: 102 ex_fr_female$Type: Predicted Year: 1920 Ex: 2.054942","Age: 102 ex_fr_female$Type: Predicted Year: 1921 Ex: 1.995854","Age: 102 ex_fr_female$Type: Predicted Year: 1922 Ex: 1.945565","Age: 102 ex_fr_female$Type: Predicted Year: 1923 Ex: 2.035188","Age: 102 ex_fr_female$Type: Predicted Year: 1924 Ex: 2.038403","Age: 102 ex_fr_female$Type: Predicted Year: 1925 Ex: 1.932125","Age: 102 ex_fr_female$Type: Predicted Year: 1926 Ex: 1.986979","Age: 102 ex_fr_female$Type: Predicted Year: 1927 Ex: 1.967174","Age: 102 ex_fr_female$Type: Predicted Year: 1928 Ex: 1.970786","Age: 102 ex_fr_female$Type: Predicted Year: 1929 Ex: 1.872085","Age: 102 ex_fr_female$Type: Predicted Year: 1930 Ex: 2.134981","Age: 102 ex_fr_female$Type: Predicted Year: 1931 Ex: 1.945431","Age: 102 ex_fr_female$Type: Predicted Year: 1932 Ex: 1.983604","Age: 102 ex_fr_female$Type: Predicted Year: 1933 Ex: 1.945956","Age: 102 ex_fr_female$Type: Predicted Year: 1934 Ex: 2.101382","Age: 102 ex_fr_female$Type: Predicted Year: 1935 Ex: 1.992406","Age: 102 ex_fr_female$Type: Predicted Year: 1936 Ex: 2.044900","Age: 102 ex_fr_female$Type: Predicted Year: 1937 Ex: 2.042091","Age: 102 ex_fr_female$Type: Predicted Year: 1938 Ex: 2.014281","Age: 102 ex_fr_female$Type: Predicted Year: 1939 Ex: 1.985467","Age: 102 ex_fr_female$Type: Predicted Year: 1940 Ex: 1.754933","Age: 102 ex_fr_female$Type: Predicted Year: 1941 Ex: 1.886693","Age: 102 ex_fr_female$Type: Predicted Year: 1942 Ex: 1.882709","Age: 102 ex_fr_female$Type: Predicted Year: 1943 Ex: 1.928939","Age: 102 ex_fr_female$Type: Predicted Year: 1944 Ex: 1.831870","Age: 102 ex_fr_female$Type: Predicted Year: 1945 Ex: 1.942111","Age: 102 ex_fr_female$Type: Predicted Year: 1946 Ex: 2.093478","Age: 102 ex_fr_female$Type: Predicted Year: 1947 Ex: 2.146197","Age: 102 ex_fr_female$Type: Predicted Year: 1948 Ex: 2.257889","Age: 102 ex_fr_female$Type: Predicted Year: 1949 Ex: 2.021504","Age: 102 ex_fr_female$Type: Predicted Year: 1950 Ex: 2.116617","Age: 102 ex_fr_female$Type: Predicted Year: 1951 Ex: 1.983526","Age: 102 ex_fr_female$Type: Predicted Year: 1952 Ex: 2.099366","Age: 102 ex_fr_female$Type: Predicted Year: 1953 Ex: 1.977552","Age: 102 ex_fr_female$Type: Predicted Year: 1954 Ex: 2.117315","Age: 102 ex_fr_female$Type: Predicted Year: 1955 Ex: 2.082852","Age: 102 ex_fr_female$Type: Predicted Year: 1956 Ex: 1.999363","Age: 102 ex_fr_female$Type: Predicted Year: 1957 Ex: 2.048370","Age: 102 ex_fr_female$Type: Predicted Year: 1958 Ex: 2.121554","Age: 102 ex_fr_female$Type: Predicted Year: 1959 Ex: 2.119909","Age: 102 ex_fr_female$Type: Predicted Year: 1960 Ex: 2.069114","Age: 102 ex_fr_female$Type: Predicted Year: 1961 Ex: 2.165652","Age: 102 ex_fr_female$Type: Predicted Year: 1962 Ex: 2.067145","Age: 102 ex_fr_female$Type: Predicted Year: 1963 Ex: 2.037659","Age: 102 ex_fr_female$Type: Predicted Year: 1964 Ex: 2.176666","Age: 102 ex_fr_female$Type: Predicted Year: 1965 Ex: 2.126592","Age: 102 ex_fr_female$Type: Predicted Year: 1966 Ex: 2.187910","Age: 102 ex_fr_female$Type: Predicted Year: 1967 Ex: 2.152370","Age: 102 ex_fr_female$Type: Predicted Year: 1968 Ex: 2.123001","Age: 102 ex_fr_female$Type: Predicted Year: 1969 Ex: 2.162342","Age: 102 ex_fr_female$Type: Predicted Year: 1970 Ex: 2.168292","Age: 102 ex_fr_female$Type: Predicted Year: 1971 Ex: 2.113258","Age: 102 ex_fr_female$Type: Predicted Year: 1972 Ex: 2.199988","Age: 102 ex_fr_female$Type: Predicted Year: 1973 Ex: 2.155722","Age: 102 ex_fr_female$Type: Predicted Year: 1974 Ex: 2.160701","Age: 102 ex_fr_female$Type: Predicted Year: 1975 Ex: 2.154452","Age: 102 ex_fr_female$Type: Predicted Year: 1976 Ex: 2.147472","Age: 102 ex_fr_female$Type: Predicted Year: 1977 Ex: 2.227499","Age: 102 ex_fr_female$Type: Predicted Year: 1978 Ex: 2.221183","Age: 102 ex_fr_female$Type: Predicted Year: 1979 Ex: 2.239986","Age: 102 ex_fr_female$Type: Predicted Year: 1980 Ex: 2.193412","Age: 102 ex_fr_female$Type: Predicted Year: 1981 Ex: 2.173373","Age: 102 ex_fr_female$Type: Predicted Year: 1982 Ex: 2.236362","Age: 102 ex_fr_female$Type: Predicted Year: 1983 Ex: 2.166202","Age: 102 ex_fr_female$Type: Predicted Year: 1984 Ex: 2.238344","Age: 102 ex_fr_female$Type: Predicted Year: 1985 Ex: 2.203952","Age: 102 ex_fr_female$Type: Predicted Year: 1986 Ex: 2.213076","Age: 102 ex_fr_female$Type: Predicted Year: 1987 Ex: 2.286738","Age: 102 ex_fr_female$Type: Predicted Year: 1988 Ex: 2.292436","Age: 102 ex_fr_female$Type: Predicted Year: 1989 Ex: 2.241678","Age: 102 ex_fr_female$Type: Predicted Year: 1990 Ex: 2.244174","Age: 102 ex_fr_female$Type: Predicted Year: 1991 Ex: 2.287278","Age: 102 ex_fr_female$Type: Predicted Year: 1992 Ex: 2.300340","Age: 102 ex_fr_female$Type: Predicted Year: 1993 Ex: 2.276473","Age: 102 ex_fr_female$Type: Predicted Year: 1994 Ex: 2.339518","Age: 102 ex_fr_female$Type: Predicted Year: 1995 Ex: 2.294241","Age: 102 ex_fr_female$Type: Predicted Year: 1996 Ex: 2.287135","Age: 102 ex_fr_female$Type: Predicted Year: 1997 Ex: 2.299193","Age: 102 ex_fr_female$Type: Predicted Year: 1998 Ex: 2.298076","Age: 102 ex_fr_female$Type: Predicted Year: 1999 Ex: 2.293890","Age: 102 ex_fr_female$Type: Predicted Year: 2000 Ex: 2.315678","Age: 102 ex_fr_female$Type: Predicted Year: 2001 Ex: 2.319666","Age: 102 ex_fr_female$Type: Predicted Year: 2002 Ex: 2.312542","Age: 102 ex_fr_female$Type: Predicted Year: 2003 Ex: 2.226766","Age: 102 ex_fr_female$Type: Predicted Year: 2004 Ex: 2.425455","Age: 102 ex_fr_female$Type: Predicted Year: 2005 Ex: 2.359696","Age: 102 ex_fr_female$Type: Predicted Year: 2006 Ex: 2.436989","Age: 102 ex_fr_female$Type: Predicted Year: 2007 Ex: 2.441014","Age: 102 ex_fr_female$Type: Predicted Year: 2008 Ex: 2.408736","Age: 102 ex_fr_female$Type: Predicted Year: 2009 Ex: 2.406009","Age: 102 ex_fr_female$Type: Predicted Year: 2010 Ex: 2.424154","Age: 102 ex_fr_female$Type: Predicted Year: 2011 Ex: 2.450678","Age: 102 ex_fr_female$Type: Predicted Year: 2012 Ex: 2.353571","Age: 102 ex_fr_female$Type: Predicted Year: 2013 Ex: 2.385133","Age: 102 ex_fr_female$Type: Predicted Year: 2014 Ex: 2.461876","Age: 102 ex_fr_female$Type: Predicted Year: 2015 Ex: 2.344416","Age: 102 ex_fr_female$Type: Predicted Year: 2016 Ex: 2.379015","Age: 102 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1926 Ex: 1.460000","Age: 103 ex_fr_female$Type: Observed Year: 1927 Ex: 1.440000","Age: 103 ex_fr_female$Type: Observed Year: 1928 Ex: 1.440000","Age: 103 ex_fr_female$Type: Observed Year: 1929 Ex: 1.350000","Age: 103 ex_fr_female$Type: Observed Year: 1930 Ex: 1.600000","Age: 103 ex_fr_female$Type: Observed Year: 1931 Ex: 1.420000","Age: 103 ex_fr_female$Type: Observed Year: 1932 Ex: 1.450000","Age: 103 ex_fr_female$Type: Observed Year: 1933 Ex: 1.420000","Age: 103 ex_fr_female$Type: Observed Year: 1934 Ex: 1.570000","Age: 103 ex_fr_female$Type: Observed Year: 1935 Ex: 1.460000","Age: 103 ex_fr_female$Type: Observed Year: 1936 Ex: 1.510000","Age: 103 ex_fr_female$Type: Observed Year: 1937 Ex: 1.510000","Age: 103 ex_fr_female$Type: Observed Year: 1938 Ex: 1.480000","Age: 103 ex_fr_female$Type: Observed Year: 1939 Ex: 1.460000","Age: 103 ex_fr_female$Type: Observed Year: 1940 Ex: 1.240000","Age: 103 ex_fr_female$Type: Observed Year: 1941 Ex: 1.360000","Age: 103 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1973 Ex: 1.610000","Age: 103 ex_fr_female$Type: Observed Year: 1974 Ex: 1.620000","Age: 103 ex_fr_female$Type: Observed Year: 1975 Ex: 1.610000","Age: 103 ex_fr_female$Type: Observed Year: 1976 Ex: 1.600000","Age: 103 ex_fr_female$Type: Observed Year: 1977 Ex: 1.680000","Age: 103 ex_fr_female$Type: Observed Year: 1978 Ex: 1.670000","Age: 103 ex_fr_female$Type: Observed Year: 1979 Ex: 1.690000","Age: 103 ex_fr_female$Type: Observed Year: 1980 Ex: 1.640000","Age: 103 ex_fr_female$Type: Observed Year: 1981 Ex: 1.630000","Age: 103 ex_fr_female$Type: Observed Year: 1982 Ex: 1.690000","Age: 103 ex_fr_female$Type: Observed Year: 1983 Ex: 1.620000","Age: 103 ex_fr_female$Type: Observed Year: 1984 Ex: 1.690000","Age: 103 ex_fr_female$Type: Observed Year: 1985 Ex: 1.650000","Age: 103 ex_fr_female$Type: Observed Year: 1986 Ex: 1.660000","Age: 103 ex_fr_female$Type: Observed Year: 1987 Ex: 1.730000","Age: 103 ex_fr_female$Type: Observed Year: 1988 Ex: 1.740000","Age: 103 ex_fr_female$Type: Observed Year: 1989 Ex: 1.690000","Age: 103 ex_fr_female$Type: Observed Year: 1990 Ex: 1.690000","Age: 103 ex_fr_female$Type: Observed Year: 1991 Ex: 1.730000","Age: 103 ex_fr_female$Type: Observed Year: 1992 Ex: 1.740000","Age: 103 ex_fr_female$Type: Observed Year: 1993 Ex: 1.720000","Age: 103 ex_fr_female$Type: Observed Year: 1994 Ex: 1.780000","Age: 103 ex_fr_female$Type: Observed Year: 1995 Ex: 1.730000","Age: 103 ex_fr_female$Type: Observed Year: 1996 Ex: 1.730000","Age: 103 ex_fr_female$Type: Observed Year: 1997 Ex: 1.740000","Age: 103 ex_fr_female$Type: Observed Year: 1998 Ex: 1.740000","Age: 103 ex_fr_female$Type: Observed Year: 1999 Ex: 1.730000","Age: 103 ex_fr_female$Type: Observed Year: 2000 Ex: 1.750000","Age: 103 ex_fr_female$Type: Observed Year: 2001 Ex: 1.760000","Age: 103 ex_fr_female$Type: Observed Year: 2002 Ex: 1.750000","Age: 103 ex_fr_female$Type: Observed Year: 2003 Ex: 1.670000","Age: 103 ex_fr_female$Type: Observed Year: 2004 Ex: 1.850000","Age: 103 ex_fr_female$Type: Observed Year: 2005 Ex: 1.790000","Age: 103 ex_fr_female$Type: Observed Year: 2006 Ex: 1.860000","Age: 103 ex_fr_female$Type: Observed Year: 2007 Ex: 1.870000","Age: 103 ex_fr_female$Type: Observed Year: 2008 Ex: 1.840000","Age: 103 ex_fr_female$Type: Observed Year: 2009 Ex: 1.830000","Age: 103 ex_fr_female$Type: Observed Year: 2010 Ex: 1.850000","Age: 103 ex_fr_female$Type: Observed Year: 2011 Ex: 1.870000","Age: 103 ex_fr_female$Type: Observed Year: 2012 Ex: 1.780000","Age: 103 ex_fr_female$Type: Observed Year: 2013 Ex: 1.810000","Age: 103 ex_fr_female$Type: Observed Year: 2014 Ex: 1.880000","Age: 103 ex_fr_female$Type: Observed Year: 2015 Ex: 1.770000","Age: 103 ex_fr_female$Type: Observed Year: 2016 Ex: 1.800000","Age: 103 ex_fr_female$Type: Observed Year: 2017 Ex: 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103 ex_fr_female$Type: Predicted Year: 1816 Ex: 2.899037","Age: 103 ex_fr_female$Type: Predicted Year: 1817 Ex: 2.648616","Age: 103 ex_fr_female$Type: Predicted Year: 1818 Ex: 2.642169","Age: 103 ex_fr_female$Type: Predicted Year: 1819 Ex: 2.716177","Age: 103 ex_fr_female$Type: Predicted Year: 1820 Ex: 2.661674","Age: 103 ex_fr_female$Type: Predicted Year: 1821 Ex: 2.884424","Age: 103 ex_fr_female$Type: Predicted Year: 1822 Ex: 2.576404","Age: 103 ex_fr_female$Type: Predicted Year: 1823 Ex: 2.534208","Age: 103 ex_fr_female$Type: Predicted Year: 1824 Ex: 2.917741","Age: 103 ex_fr_female$Type: Predicted Year: 1825 Ex: 2.651090","Age: 103 ex_fr_female$Type: Predicted Year: 1826 Ex: 2.497857","Age: 103 ex_fr_female$Type: Predicted Year: 1827 Ex: 2.843779","Age: 103 ex_fr_female$Type: Predicted Year: 1828 Ex: 2.771636","Age: 103 ex_fr_female$Type: Predicted Year: 1829 Ex: 2.546012","Age: 103 ex_fr_female$Type: Predicted Year: 1830 Ex: 2.667558","Age: 103 ex_fr_female$Type: Predicted Year: 1831 Ex: 2.496227","Age: 103 ex_fr_female$Type: Predicted Year: 1832 Ex: 2.531913","Age: 103 ex_fr_female$Type: Predicted Year: 1833 Ex: 2.670344","Age: 103 ex_fr_female$Type: Predicted Year: 1834 Ex: 2.610904","Age: 103 ex_fr_female$Type: Predicted Year: 1835 Ex: 2.529417","Age: 103 ex_fr_female$Type: Predicted Year: 1836 Ex: 2.587216","Age: 103 ex_fr_female$Type: Predicted Year: 1837 Ex: 2.397287","Age: 103 ex_fr_female$Type: Predicted Year: 1838 Ex: 2.597076","Age: 103 ex_fr_female$Type: Predicted Year: 1839 Ex: 2.747534","Age: 103 ex_fr_female$Type: Predicted Year: 1840 Ex: 2.422791","Age: 103 ex_fr_female$Type: Predicted Year: 1841 Ex: 2.506260","Age: 103 ex_fr_female$Type: Predicted Year: 1842 Ex: 2.486284","Age: 103 ex_fr_female$Type: Predicted Year: 1843 Ex: 2.504714","Age: 103 ex_fr_female$Type: Predicted Year: 1844 Ex: 2.501221","Age: 103 ex_fr_female$Type: Predicted Year: 1845 Ex: 2.589427","Age: 103 ex_fr_female$Type: Predicted Year: 1846 Ex: 2.278395","Age: 103 ex_fr_female$Type: Predicted Year: 1847 Ex: 2.205308","Age: 103 ex_fr_female$Type: Predicted Year: 1848 Ex: 2.335910","Age: 103 ex_fr_female$Type: Predicted Year: 1849 Ex: 2.337886","Age: 103 ex_fr_female$Type: Predicted Year: 1850 Ex: 2.417946","Age: 103 ex_fr_female$Type: Predicted Year: 1851 Ex: 2.250057","Age: 103 ex_fr_female$Type: Predicted Year: 1852 Ex: 2.295106","Age: 103 ex_fr_female$Type: Predicted Year: 1853 Ex: 2.127785","Age: 103 ex_fr_female$Type: Predicted Year: 1854 Ex: 2.104396","Age: 103 ex_fr_female$Type: Predicted Year: 1855 Ex: 1.953192","Age: 103 ex_fr_female$Type: Predicted Year: 1856 Ex: 2.057735","Age: 103 ex_fr_female$Type: Predicted Year: 1857 Ex: 2.050887","Age: 103 ex_fr_female$Type: Predicted Year: 1858 Ex: 2.036401","Age: 103 ex_fr_female$Type: Predicted Year: 1859 Ex: 2.086017","Age: 103 ex_fr_female$Type: Predicted Year: 1860 Ex: 2.176109","Age: 103 ex_fr_female$Type: Predicted Year: 1861 Ex: 2.152180","Age: 103 ex_fr_female$Type: Predicted Year: 1862 Ex: 2.155256","Age: 103 ex_fr_female$Type: Predicted Year: 1863 Ex: 2.159105","Age: 103 ex_fr_female$Type: Predicted Year: 1864 Ex: 2.127139","Age: 103 ex_fr_female$Type: Predicted Year: 1865 Ex: 2.060532","Age: 103 ex_fr_female$Type: Predicted Year: 1866 Ex: 2.135049","Age: 103 ex_fr_female$Type: Predicted Year: 1867 Ex: 2.096732","Age: 103 ex_fr_female$Type: Predicted Year: 1868 Ex: 2.086756","Age: 103 ex_fr_female$Type: Predicted Year: 1869 Ex: 2.104551","Age: 103 ex_fr_female$Type: Predicted Year: 1870 Ex: 2.003168","Age: 103 ex_fr_female$Type: Predicted Year: 1871 Ex: 1.894411","Age: 103 ex_fr_female$Type: Predicted Year: 1872 Ex: 2.200866","Age: 103 ex_fr_female$Type: Predicted Year: 1873 Ex: 2.040891","Age: 103 ex_fr_female$Type: Predicted Year: 1874 Ex: 2.086031","Age: 103 ex_fr_female$Type: Predicted Year: 1875 Ex: 2.037400","Age: 103 ex_fr_female$Type: Predicted Year: 1876 Ex: 2.033954","Age: 103 ex_fr_female$Type: Predicted Year: 1877 Ex: 2.011014","Age: 103 ex_fr_female$Type: Predicted Year: 1878 Ex: 2.010611","Age: 103 ex_fr_female$Type: Predicted Year: 1879 Ex: 1.912587","Age: 103 ex_fr_female$Type: Predicted Year: 1880 Ex: 2.107375","Age: 103 ex_fr_female$Type: Predicted Year: 1881 Ex: 2.223561","Age: 103 ex_fr_female$Type: Predicted Year: 1882 Ex: 2.160262","Age: 103 ex_fr_female$Type: Predicted Year: 1883 Ex: 2.017085","Age: 103 ex_fr_female$Type: Predicted Year: 1884 Ex: 2.102619","Age: 103 ex_fr_female$Type: Predicted Year: 1885 Ex: 1.998956","Age: 103 ex_fr_female$Type: Predicted Year: 1886 Ex: 1.973497","Age: 103 ex_fr_female$Type: Predicted Year: 1887 Ex: 2.006684","Age: 103 ex_fr_female$Type: Predicted Year: 1888 Ex: 1.995945","Age: 103 ex_fr_female$Type: Predicted Year: 1889 Ex: 2.092174","Age: 103 ex_fr_female$Type: Predicted Year: 1890 Ex: 1.994623","Age: 103 ex_fr_female$Type: Predicted Year: 1891 Ex: 1.892473","Age: 103 ex_fr_female$Type: Predicted Year: 1892 Ex: 1.914065","Age: 103 ex_fr_female$Type: Predicted Year: 1893 Ex: 1.907998","Age: 103 ex_fr_female$Type: Predicted Year: 1894 Ex: 1.907785","Age: 103 ex_fr_female$Type: Predicted Year: 1895 Ex: 1.837331","Age: 103 ex_fr_female$Type: Predicted Year: 1896 Ex: 1.969604","Age: 103 ex_fr_female$Type: Predicted Year: 1897 Ex: 2.135847","Age: 103 ex_fr_female$Type: Predicted Year: 1898 Ex: 2.011276","Age: 103 ex_fr_female$Type: Predicted Year: 1899 Ex: 1.922342","Age: 103 ex_fr_female$Type: Predicted Year: 1900 Ex: 1.935932","Age: 103 ex_fr_female$Type: Predicted Year: 1901 Ex: 1.981341","Age: 103 ex_fr_female$Type: Predicted Year: 1902 Ex: 1.996220","Age: 103 ex_fr_female$Type: Predicted Year: 1903 Ex: 2.002561","Age: 103 ex_fr_female$Type: Predicted Year: 1904 Ex: 1.949326","Age: 103 ex_fr_female$Type: Predicted Year: 1905 Ex: 1.889185","Age: 103 ex_fr_female$Type: Predicted Year: 1906 Ex: 1.888031","Age: 103 ex_fr_female$Type: Predicted Year: 1907 Ex: 1.939177","Age: 103 ex_fr_female$Type: Predicted Year: 1908 Ex: 1.994654","Age: 103 ex_fr_female$Type: Predicted Year: 1909 Ex: 1.948539","Age: 103 ex_fr_female$Type: Predicted Year: 1910 Ex: 1.992114","Age: 103 ex_fr_female$Type: Predicted Year: 1911 Ex: 1.854461","Age: 103 ex_fr_female$Type: Predicted Year: 1912 Ex: 2.034282","Age: 103 ex_fr_female$Type: Predicted Year: 1913 Ex: 2.033396","Age: 103 ex_fr_female$Type: Predicted Year: 1914 Ex: 1.883975","Age: 103 ex_fr_female$Type: Predicted Year: 1915 Ex: 1.947049","Age: 103 ex_fr_female$Type: Predicted Year: 1916 Ex: 1.906999","Age: 103 ex_fr_female$Type: Predicted Year: 1917 Ex: 1.846247","Age: 103 ex_fr_female$Type: Predicted Year: 1918 Ex: 1.892831","Age: 103 ex_fr_female$Type: Predicted Year: 1919 Ex: 1.839346","Age: 103 ex_fr_female$Type: Predicted Year: 1920 Ex: 2.002734","Age: 103 ex_fr_female$Type: Predicted Year: 1921 Ex: 1.946959","Age: 103 ex_fr_female$Type: Predicted Year: 1922 Ex: 1.900863","Age: 103 ex_fr_female$Type: Predicted Year: 1923 Ex: 1.983471","Age: 103 ex_fr_female$Type: Predicted Year: 1924 Ex: 1.987275","Age: 103 ex_fr_female$Type: Predicted Year: 1925 Ex: 1.887638","Age: 103 ex_fr_female$Type: Predicted Year: 1926 Ex: 1.939349","Age: 103 ex_fr_female$Type: Predicted Year: 1927 Ex: 1.920460","Age: 103 ex_fr_female$Type: Predicted Year: 1928 Ex: 1.922705","Age: 103 ex_fr_female$Type: Predicted Year: 1929 Ex: 1.832673","Age: 103 ex_fr_female$Type: Predicted Year: 1930 Ex: 2.076256","Age: 103 ex_fr_female$Type: Predicted Year: 1931 Ex: 1.899849","Age: 103 ex_fr_female$Type: Predicted Year: 1932 Ex: 1.934123","Age: 103 ex_fr_female$Type: Predicted Year: 1933 Ex: 1.899008","Age: 103 ex_fr_female$Type: Predicted Year: 1934 Ex: 2.043920","Age: 103 ex_fr_female$Type: Predicted Year: 1935 Ex: 1.942070","Age: 103 ex_fr_female$Type: Predicted Year: 1936 Ex: 1.991153","Age: 103 ex_fr_female$Type: Predicted Year: 1937 Ex: 1.987018","Age: 103 ex_fr_female$Type: Predicted Year: 1938 Ex: 1.962063","Age: 103 ex_fr_female$Type: Predicted Year: 1939 Ex: 1.935729","Age: 103 ex_fr_female$Type: Predicted Year: 1940 Ex: 1.724081","Age: 103 ex_fr_female$Type: Predicted Year: 1941 Ex: 1.844161","Age: 103 ex_fr_female$Type: Predicted Year: 1942 Ex: 1.840455","Age: 103 ex_fr_female$Type: Predicted Year: 1943 Ex: 1.883318","Age: 103 ex_fr_female$Type: Predicted Year: 1944 Ex: 1.794658","Age: 103 ex_fr_female$Type: Predicted Year: 1945 Ex: 1.895561","Age: 103 ex_fr_female$Type: Predicted Year: 1946 Ex: 2.034517","Age: 103 ex_fr_female$Type: Predicted Year: 1947 Ex: 2.083742","Age: 103 ex_fr_female$Type: Predicted Year: 1948 Ex: 2.187538","Age: 103 ex_fr_female$Type: Predicted Year: 1949 Ex: 1.968149","Age: 103 ex_fr_female$Type: Predicted Year: 1950 Ex: 2.055109","Age: 103 ex_fr_female$Type: Predicted Year: 1951 Ex: 1.931747","Age: 103 ex_fr_female$Type: Predicted Year: 1952 Ex: 2.038148","Age: 103 ex_fr_female$Type: Predicted Year: 1953 Ex: 1.925791","Age: 103 ex_fr_female$Type: Predicted Year: 1954 Ex: 2.054222","Age: 103 ex_fr_female$Type: Predicted Year: 1955 Ex: 2.022241","Age: 103 ex_fr_female$Type: Predicted Year: 1956 Ex: 1.944824","Age: 103 ex_fr_female$Type: Predicted Year: 1957 Ex: 1.989022","Age: 103 ex_fr_female$Type: Predicted Year: 1958 Ex: 2.056955","Age: 103 ex_fr_female$Type: Predicted Year: 1959 Ex: 2.055061","Age: 103 ex_fr_female$Type: Predicted Year: 1960 Ex: 2.007725","Age: 103 ex_fr_female$Type: Predicted Year: 1961 Ex: 2.096317","Age: 103 ex_fr_female$Type: Predicted Year: 1962 Ex: 2.006086","Age: 103 ex_fr_female$Type: Predicted Year: 1963 Ex: 1.978611","Age: 103 ex_fr_female$Type: Predicted Year: 1964 Ex: 2.106334","Age: 103 ex_fr_female$Type: Predicted Year: 1965 Ex: 2.060287","Age: 103 ex_fr_female$Type: Predicted Year: 1966 Ex: 2.116364","Age: 103 ex_fr_female$Type: Predicted Year: 1967 Ex: 2.083226","Age: 103 ex_fr_female$Type: Predicted Year: 1968 Ex: 2.055763","Age: 103 ex_fr_female$Type: Predicted Year: 1969 Ex: 2.092409","Age: 103 ex_fr_female$Type: Predicted Year: 1970 Ex: 2.096694","Age: 103 ex_fr_female$Type: Predicted Year: 1971 Ex: 2.045266","Age: 103 ex_fr_female$Type: Predicted Year: 1972 Ex: 2.125681","Age: 103 ex_fr_female$Type: Predicted Year: 1973 Ex: 2.084717","Age: 103 ex_fr_female$Type: Predicted Year: 1974 Ex: 2.088381","Age: 103 ex_fr_female$Type: Predicted Year: 1975 Ex: 2.082544","Age: 103 ex_fr_female$Type: Predicted Year: 1976 Ex: 2.075354","Age: 103 ex_fr_female$Type: Predicted Year: 1977 Ex: 2.148409","Age: 103 ex_fr_female$Type: Predicted Year: 1978 Ex: 2.143009","Age: 103 ex_fr_female$Type: Predicted Year: 1979 Ex: 2.159751","Age: 103 ex_fr_female$Type: Predicted Year: 1980 Ex: 2.115716","Age: 103 ex_fr_female$Type: Predicted Year: 1981 Ex: 2.097397","Age: 103 ex_fr_female$Type: Predicted Year: 1982 Ex: 2.154795","Age: 103 ex_fr_female$Type: Predicted Year: 1983 Ex: 2.089959","Age: 103 ex_fr_female$Type: Predicted Year: 1984 Ex: 2.155575","Age: 103 ex_fr_female$Type: Predicted Year: 1985 Ex: 2.123572","Age: 103 ex_fr_female$Type: Predicted Year: 1986 Ex: 2.131221","Age: 103 ex_fr_female$Type: Predicted Year: 1987 Ex: 2.197820","Age: 103 ex_fr_female$Type: Predicted Year: 1988 Ex: 2.202250","Age: 103 ex_fr_female$Type: Predicted Year: 1989 Ex: 2.154390","Age: 103 ex_fr_female$Type: Predicted Year: 1990 Ex: 2.155777","Age: 103 ex_fr_female$Type: Predicted Year: 1991 Ex: 2.195008","Age: 103 ex_fr_female$Type: Predicted Year: 1992 Ex: 2.205917","Age: 103 ex_fr_female$Type: Predicted Year: 1993 Ex: 2.183805","Age: 103 ex_fr_female$Type: Predicted Year: 1994 Ex: 2.240556","Age: 103 ex_fr_female$Type: Predicted Year: 1995 Ex: 2.198465","Age: 103 ex_fr_female$Type: Predicted Year: 1996 Ex: 2.191620","Age: 103 ex_fr_female$Type: Predicted Year: 1997 Ex: 2.202109","Age: 103 ex_fr_female$Type: Predicted Year: 1998 Ex: 2.200854","Age: 103 ex_fr_female$Type: Predicted Year: 1999 Ex: 2.197037","Age: 103 ex_fr_female$Type: Predicted Year: 2000 Ex: 2.216152","Age: 103 ex_fr_female$Type: Predicted Year: 2001 Ex: 2.218891","Age: 103 ex_fr_female$Type: Predicted Year: 2002 Ex: 2.212224","Age: 103 ex_fr_female$Type: Predicted Year: 2003 Ex: 2.133561","Age: 103 ex_fr_female$Type: Predicted Year: 2004 Ex: 2.313543","Age: 103 ex_fr_female$Type: Predicted Year: 2005 Ex: 2.253217","Age: 103 ex_fr_female$Type: Predicted Year: 2006 Ex: 2.322987","Age: 103 ex_fr_female$Type: Predicted Year: 2007 Ex: 2.326217","Age: 103 ex_fr_female$Type: Predicted Year: 2008 Ex: 2.296003","Age: 103 ex_fr_female$Type: Predicted Year: 2009 Ex: 2.293166","Age: 103 ex_fr_female$Type: Predicted Year: 2010 Ex: 2.308963","Age: 103 ex_fr_female$Type: Predicted Year: 2011 Ex: 2.331802","Age: 103 ex_fr_female$Type: Predicted Year: 2012 Ex: 2.242781","Age: 103 ex_fr_female$Type: Predicted Year: 2013 Ex: 2.270752","Age: 103 ex_fr_female$Type: Predicted Year: 2014 Ex: 2.339788","Age: 103 ex_fr_female$Type: Predicted Year: 2015 Ex: 2.232469","Age: 103 ex_fr_female$Type: Predicted Year: 2016 Ex: 2.263336","Age: 103 ex_fr_female$Type: Predicted Year: 2017 Ex: 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1910 Ex: 1.460000","Age: 104 ex_fr_female$Type: Observed Year: 1911 Ex: 1.330000","Age: 104 ex_fr_female$Type: Observed Year: 1912 Ex: 1.500000","Age: 104 ex_fr_female$Type: Observed Year: 1913 Ex: 1.500000","Age: 104 ex_fr_female$Type: Observed Year: 1914 Ex: 1.360000","Age: 104 ex_fr_female$Type: Observed Year: 1915 Ex: 1.420000","Age: 104 ex_fr_female$Type: Observed Year: 1916 Ex: 1.380000","Age: 104 ex_fr_female$Type: Observed Year: 1917 Ex: 1.320000","Age: 104 ex_fr_female$Type: Observed Year: 1918 Ex: 1.370000","Age: 104 ex_fr_female$Type: Observed Year: 1919 Ex: 1.320000","Age: 104 ex_fr_female$Type: Observed Year: 1920 Ex: 1.470000","Age: 104 ex_fr_female$Type: Observed Year: 1921 Ex: 1.420000","Age: 104 ex_fr_female$Type: Observed Year: 1922 Ex: 1.380000","Age: 104 ex_fr_female$Type: Observed Year: 1923 Ex: 1.450000","Age: 104 ex_fr_female$Type: Observed Year: 1924 Ex: 1.460000","Age: 104 ex_fr_female$Type: Observed Year: 1925 Ex: 1.360000","Age: 104 ex_fr_female$Type: Observed Year: 1926 Ex: 1.410000","Age: 104 ex_fr_female$Type: Observed Year: 1927 Ex: 1.390000","Age: 104 ex_fr_female$Type: Observed Year: 1928 Ex: 1.400000","Age: 104 ex_fr_female$Type: Observed Year: 1929 Ex: 1.310000","Age: 104 ex_fr_female$Type: Observed Year: 1930 Ex: 1.540000","Age: 104 ex_fr_female$Type: Observed Year: 1931 Ex: 1.370000","Age: 104 ex_fr_female$Type: Observed Year: 1932 Ex: 1.410000","Age: 104 ex_fr_female$Type: Observed Year: 1933 Ex: 1.370000","Age: 104 ex_fr_female$Type: Observed Year: 1934 Ex: 1.510000","Age: 104 ex_fr_female$Type: Observed Year: 1935 Ex: 1.410000","Age: 104 ex_fr_female$Type: Observed Year: 1936 Ex: 1.460000","Age: 104 ex_fr_female$Type: Observed Year: 1937 Ex: 1.460000","Age: 104 ex_fr_female$Type: Observed Year: 1938 Ex: 1.430000","Age: 104 ex_fr_female$Type: Observed Year: 1939 Ex: 1.410000","Age: 104 ex_fr_female$Type: Observed Year: 1940 Ex: 1.210000","Age: 104 ex_fr_female$Type: Observed Year: 1941 Ex: 1.320000","Age: 104 ex_fr_female$Type: Observed Year: 1942 Ex: 1.320000","Age: 104 ex_fr_female$Type: Observed Year: 1943 Ex: 1.360000","Age: 104 ex_fr_female$Type: Observed Year: 1944 Ex: 1.270000","Age: 104 ex_fr_female$Type: Observed Year: 1945 Ex: 1.370000","Age: 104 ex_fr_female$Type: Observed Year: 1946 Ex: 1.500000","Age: 104 ex_fr_female$Type: Observed Year: 1947 Ex: 1.550000","Age: 104 ex_fr_female$Type: Observed Year: 1948 Ex: 1.650000","Age: 104 ex_fr_female$Type: Observed Year: 1949 Ex: 1.440000","Age: 104 ex_fr_female$Type: Observed Year: 1950 Ex: 1.520000","Age: 104 ex_fr_female$Type: Observed Year: 1951 Ex: 1.400000","Age: 104 ex_fr_female$Type: Observed Year: 1952 Ex: 1.500000","Age: 104 ex_fr_female$Type: Observed Year: 1953 Ex: 1.400000","Age: 104 ex_fr_female$Type: Observed Year: 1954 Ex: 1.520000","Age: 104 ex_fr_female$Type: Observed Year: 1955 Ex: 1.490000","Age: 104 ex_fr_female$Type: Observed Year: 1956 Ex: 1.410000","Age: 104 ex_fr_female$Type: Observed Year: 1957 Ex: 1.460000","Age: 104 ex_fr_female$Type: Observed Year: 1958 Ex: 1.520000","Age: 104 ex_fr_female$Type: Observed Year: 1959 Ex: 1.520000","Age: 104 ex_fr_female$Type: Observed Year: 1960 Ex: 1.470000","Age: 104 ex_fr_female$Type: Observed Year: 1961 Ex: 1.560000","Age: 104 ex_fr_female$Type: Observed Year: 1962 Ex: 1.470000","Age: 104 ex_fr_female$Type: Observed Year: 1963 Ex: 1.450000","Age: 104 ex_fr_female$Type: Observed Year: 1964 Ex: 1.570000","Age: 104 ex_fr_female$Type: Observed Year: 1965 Ex: 1.520000","Age: 104 ex_fr_female$Type: Observed Year: 1966 Ex: 1.580000","Age: 104 ex_fr_female$Type: Observed Year: 1967 Ex: 1.540000","Age: 104 ex_fr_female$Type: Observed Year: 1968 Ex: 1.520000","Age: 104 ex_fr_female$Type: Observed Year: 1969 Ex: 1.550000","Age: 104 ex_fr_female$Type: Observed Year: 1970 Ex: 1.560000","Age: 104 ex_fr_female$Type: Observed Year: 1971 Ex: 1.510000","Age: 104 ex_fr_female$Type: Observed Year: 1972 Ex: 1.580000","Age: 104 ex_fr_female$Type: Observed Year: 1973 Ex: 1.540000","Age: 104 ex_fr_female$Type: Observed Year: 1974 Ex: 1.550000","Age: 104 ex_fr_female$Type: Observed Year: 1975 Ex: 1.540000","Age: 104 ex_fr_female$Type: Observed Year: 1976 Ex: 1.530000","Age: 104 ex_fr_female$Type: Observed Year: 1977 Ex: 1.600000","Age: 104 ex_fr_female$Type: Observed Year: 1978 Ex: 1.600000","Age: 104 ex_fr_female$Type: Observed Year: 1979 Ex: 1.610000","Age: 104 ex_fr_female$Type: Observed Year: 1980 Ex: 1.570000","Age: 104 ex_fr_female$Type: Observed Year: 1981 Ex: 1.550000","Age: 104 ex_fr_female$Type: Observed Year: 1982 Ex: 1.610000","Age: 104 ex_fr_female$Type: Observed Year: 1983 Ex: 1.550000","Age: 104 ex_fr_female$Type: Observed Year: 1984 Ex: 1.610000","Age: 104 ex_fr_female$Type: Observed Year: 1985 Ex: 1.580000","Age: 104 ex_fr_female$Type: Observed Year: 1986 Ex: 1.580000","Age: 104 ex_fr_female$Type: Observed Year: 1987 Ex: 1.650000","Age: 104 ex_fr_female$Type: Observed Year: 1988 Ex: 1.650000","Age: 104 ex_fr_female$Type: Observed Year: 1989 Ex: 1.600000","Age: 104 ex_fr_female$Type: Observed Year: 1990 Ex: 1.610000","Age: 104 ex_fr_female$Type: Observed Year: 1991 Ex: 1.640000","Age: 104 ex_fr_female$Type: Observed Year: 1992 Ex: 1.650000","Age: 104 ex_fr_female$Type: Observed Year: 1993 Ex: 1.630000","Age: 104 ex_fr_female$Type: Observed Year: 1994 Ex: 1.680000","Age: 104 ex_fr_female$Type: Observed Year: 1995 Ex: 1.640000","Age: 104 ex_fr_female$Type: Observed Year: 1996 Ex: 1.640000","Age: 104 ex_fr_female$Type: Observed Year: 1997 Ex: 1.650000","Age: 104 ex_fr_female$Type: Observed Year: 1998 Ex: 1.650000","Age: 104 ex_fr_female$Type: Observed Year: 1999 Ex: 1.640000","Age: 104 ex_fr_female$Type: Observed Year: 2000 Ex: 1.660000","Age: 104 ex_fr_female$Type: Observed Year: 2001 Ex: 1.660000","Age: 104 ex_fr_female$Type: Observed Year: 2002 Ex: 1.650000","Age: 104 ex_fr_female$Type: Observed Year: 2003 Ex: 1.580000","Age: 104 ex_fr_female$Type: Observed Year: 2004 Ex: 1.750000","Age: 104 ex_fr_female$Type: Observed Year: 2005 Ex: 1.690000","Age: 104 ex_fr_female$Type: Observed Year: 2006 Ex: 1.760000","Age: 104 ex_fr_female$Type: Observed Year: 2007 Ex: 1.760000","Age: 104 ex_fr_female$Type: Observed Year: 2008 Ex: 1.730000","Age: 104 ex_fr_female$Type: Observed Year: 2009 Ex: 1.730000","Age: 104 ex_fr_female$Type: Observed Year: 2010 Ex: 1.740000","Age: 104 ex_fr_female$Type: Observed Year: 2011 Ex: 1.760000","Age: 104 ex_fr_female$Type: Observed Year: 2012 Ex: 1.680000","Age: 104 ex_fr_female$Type: Observed Year: 2013 Ex: 1.700000","Age: 104 ex_fr_female$Type: Observed Year: 2014 Ex: 1.770000","Age: 104 ex_fr_female$Type: Observed Year: 2015 Ex: 1.670000","Age: 104 ex_fr_female$Type: Observed Year: 2016 Ex: 1.700000","Age: 104 ex_fr_female$Type: Observed Year: 2017 Ex: 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104 ex_fr_female$Type: Predicted Year: 1816 Ex: 2.841865","Age: 104 ex_fr_female$Type: Predicted Year: 1817 Ex: 2.589483","Age: 104 ex_fr_female$Type: Predicted Year: 1818 Ex: 2.581041","Age: 104 ex_fr_female$Type: Predicted Year: 1819 Ex: 2.655006","Age: 104 ex_fr_female$Type: Predicted Year: 1820 Ex: 2.606173","Age: 104 ex_fr_female$Type: Predicted Year: 1821 Ex: 2.821544","Age: 104 ex_fr_female$Type: Predicted Year: 1822 Ex: 2.516878","Age: 104 ex_fr_female$Type: Predicted Year: 1823 Ex: 2.474738","Age: 104 ex_fr_female$Type: Predicted Year: 1824 Ex: 2.854418","Age: 104 ex_fr_female$Type: Predicted Year: 1825 Ex: 2.589942","Age: 104 ex_fr_female$Type: Predicted Year: 1826 Ex: 2.442014","Age: 104 ex_fr_female$Type: Predicted Year: 1827 Ex: 2.781718","Age: 104 ex_fr_female$Type: Predicted Year: 1828 Ex: 2.711897","Age: 104 ex_fr_female$Type: Predicted Year: 1829 Ex: 2.490356","Age: 104 ex_fr_female$Type: Predicted Year: 1830 Ex: 2.610287","Age: 104 ex_fr_female$Type: Predicted Year: 1831 Ex: 2.440042","Age: 104 ex_fr_female$Type: Predicted Year: 1832 Ex: 2.478198","Age: 104 ex_fr_female$Type: Predicted Year: 1833 Ex: 2.608275","Age: 104 ex_fr_female$Type: Predicted Year: 1834 Ex: 2.553198","Age: 104 ex_fr_female$Type: Predicted Year: 1835 Ex: 2.470378","Age: 104 ex_fr_female$Type: Predicted Year: 1836 Ex: 2.527256","Age: 104 ex_fr_female$Type: Predicted Year: 1837 Ex: 2.347770","Age: 104 ex_fr_female$Type: Predicted Year: 1838 Ex: 2.539637","Age: 104 ex_fr_female$Type: Predicted Year: 1839 Ex: 2.684671","Age: 104 ex_fr_female$Type: Predicted Year: 1840 Ex: 2.367659","Age: 104 ex_fr_female$Type: Predicted Year: 1841 Ex: 2.447561","Age: 104 ex_fr_female$Type: Predicted Year: 1842 Ex: 2.430838","Age: 104 ex_fr_female$Type: Predicted Year: 1843 Ex: 2.448010","Age: 104 ex_fr_female$Type: Predicted Year: 1844 Ex: 2.444278","Age: 104 ex_fr_female$Type: Predicted Year: 1845 Ex: 2.529396","Age: 104 ex_fr_female$Type: Predicted Year: 1846 Ex: 2.224754","Age: 104 ex_fr_female$Type: Predicted Year: 1847 Ex: 2.157990","Age: 104 ex_fr_female$Type: Predicted Year: 1848 Ex: 2.283922","Age: 104 ex_fr_female$Type: Predicted Year: 1849 Ex: 2.286628","Age: 104 ex_fr_female$Type: Predicted Year: 1850 Ex: 2.361327","Age: 104 ex_fr_female$Type: Predicted Year: 1851 Ex: 2.198515","Age: 104 ex_fr_female$Type: Predicted Year: 1852 Ex: 2.242057","Age: 104 ex_fr_female$Type: Predicted Year: 1853 Ex: 2.081451","Age: 104 ex_fr_female$Type: Predicted Year: 1854 Ex: 2.060082","Age: 104 ex_fr_female$Type: Predicted Year: 1855 Ex: 1.914663","Age: 104 ex_fr_female$Type: Predicted Year: 1856 Ex: 2.011318","Age: 104 ex_fr_female$Type: Predicted Year: 1857 Ex: 2.005682","Age: 104 ex_fr_female$Type: Predicted Year: 1858 Ex: 1.993847","Age: 104 ex_fr_female$Type: Predicted Year: 1859 Ex: 2.041119","Age: 104 ex_fr_female$Type: Predicted Year: 1860 Ex: 2.125108","Age: 104 ex_fr_female$Type: Predicted Year: 1861 Ex: 2.102671","Age: 104 ex_fr_female$Type: Predicted Year: 1862 Ex: 2.104501","Age: 104 ex_fr_female$Type: Predicted Year: 1863 Ex: 2.108579","Age: 104 ex_fr_female$Type: Predicted Year: 1864 Ex: 2.079175","Age: 104 ex_fr_female$Type: Predicted Year: 1865 Ex: 2.014895","Age: 104 ex_fr_female$Type: Predicted Year: 1866 Ex: 2.085767","Age: 104 ex_fr_female$Type: Predicted Year: 1867 Ex: 2.049601","Age: 104 ex_fr_female$Type: Predicted Year: 1868 Ex: 2.040907","Age: 104 ex_fr_female$Type: Predicted Year: 1869 Ex: 2.057628","Age: 104 ex_fr_female$Type: Predicted Year: 1870 Ex: 1.963341","Age: 104 ex_fr_female$Type: Predicted Year: 1871 Ex: 1.859253","Age: 104 ex_fr_female$Type: Predicted Year: 1872 Ex: 2.146646","Age: 104 ex_fr_female$Type: Predicted Year: 1873 Ex: 1.995549","Age: 104 ex_fr_female$Type: Predicted Year: 1874 Ex: 2.036823","Age: 104 ex_fr_female$Type: Predicted Year: 1875 Ex: 1.992640","Age: 104 ex_fr_female$Type: Predicted Year: 1876 Ex: 1.988372","Age: 104 ex_fr_female$Type: Predicted Year: 1877 Ex: 1.965470","Age: 104 ex_fr_female$Type: Predicted Year: 1878 Ex: 1.967140","Age: 104 ex_fr_female$Type: Predicted Year: 1879 Ex: 1.874281","Age: 104 ex_fr_female$Type: Predicted Year: 1880 Ex: 2.060372","Age: 104 ex_fr_female$Type: Predicted Year: 1881 Ex: 2.171065","Age: 104 ex_fr_female$Type: Predicted Year: 1882 Ex: 2.109300","Age: 104 ex_fr_female$Type: Predicted Year: 1883 Ex: 1.971753","Age: 104 ex_fr_female$Type: Predicted Year: 1884 Ex: 2.053820","Age: 104 ex_fr_female$Type: Predicted Year: 1885 Ex: 1.953571","Age: 104 ex_fr_female$Type: Predicted Year: 1886 Ex: 1.929264","Age: 104 ex_fr_female$Type: Predicted Year: 1887 Ex: 1.960361","Age: 104 ex_fr_female$Type: Predicted Year: 1888 Ex: 1.951556","Age: 104 ex_fr_female$Type: Predicted Year: 1889 Ex: 2.042322","Age: 104 ex_fr_female$Type: Predicted Year: 1890 Ex: 1.951446","Age: 104 ex_fr_female$Type: Predicted Year: 1891 Ex: 1.854663","Age: 104 ex_fr_female$Type: Predicted Year: 1892 Ex: 1.875572","Age: 104 ex_fr_female$Type: Predicted Year: 1893 Ex: 1.869227","Age: 104 ex_fr_female$Type: Predicted Year: 1894 Ex: 1.867905","Age: 104 ex_fr_female$Type: Predicted Year: 1895 Ex: 1.802953","Age: 104 ex_fr_female$Type: Predicted Year: 1896 Ex: 1.925399","Age: 104 ex_fr_female$Type: Predicted Year: 1897 Ex: 2.084713","Age: 104 ex_fr_female$Type: Predicted Year: 1898 Ex: 1.967337","Age: 104 ex_fr_female$Type: Predicted Year: 1899 Ex: 1.882289","Age: 104 ex_fr_female$Type: Predicted Year: 1900 Ex: 1.896925","Age: 104 ex_fr_female$Type: Predicted Year: 1901 Ex: 1.937965","Age: 104 ex_fr_female$Type: Predicted Year: 1902 Ex: 1.951200","Age: 104 ex_fr_female$Type: Predicted Year: 1903 Ex: 1.957956","Age: 104 ex_fr_female$Type: Predicted Year: 1904 Ex: 1.907753","Age: 104 ex_fr_female$Type: Predicted Year: 1905 Ex: 1.850638","Age: 104 ex_fr_female$Type: Predicted Year: 1906 Ex: 1.849338","Age: 104 ex_fr_female$Type: Predicted Year: 1907 Ex: 1.898935","Age: 104 ex_fr_female$Type: Predicted Year: 1908 Ex: 1.949831","Age: 104 ex_fr_female$Type: Predicted Year: 1909 Ex: 1.907549","Age: 104 ex_fr_female$Type: Predicted Year: 1910 Ex: 1.946785","Age: 104 ex_fr_female$Type: Predicted Year: 1911 Ex: 1.818280","Age: 104 ex_fr_female$Type: Predicted Year: 1912 Ex: 1.985952","Age: 104 ex_fr_female$Type: Predicted Year: 1913 Ex: 1.985543","Age: 104 ex_fr_female$Type: Predicted Year: 1914 Ex: 1.845913","Age: 104 ex_fr_female$Type: Predicted Year: 1915 Ex: 1.905149","Age: 104 ex_fr_female$Type: Predicted Year: 1916 Ex: 1.867392","Age: 104 ex_fr_female$Type: Predicted Year: 1917 Ex: 1.810941","Age: 104 ex_fr_female$Type: Predicted Year: 1918 Ex: 1.854235","Age: 104 ex_fr_female$Type: Predicted Year: 1919 Ex: 1.803869","Age: 104 ex_fr_female$Type: Predicted Year: 1920 Ex: 1.955735","Age: 104 ex_fr_female$Type: Predicted Year: 1921 Ex: 1.903129","Age: 104 ex_fr_female$Type: Predicted Year: 1922 Ex: 1.860854","Age: 104 ex_fr_female$Type: Predicted Year: 1923 Ex: 1.937036","Age: 104 ex_fr_female$Type: Predicted Year: 1924 Ex: 1.941288","Age: 104 ex_fr_female$Type: Predicted Year: 1925 Ex: 1.847920","Age: 104 ex_fr_female$Type: Predicted Year: 1926 Ex: 1.896614","Age: 104 ex_fr_female$Type: Predicted Year: 1927 Ex: 1.878654","Age: 104 ex_fr_female$Type: Predicted Year: 1928 Ex: 1.879744","Age: 104 ex_fr_female$Type: Predicted Year: 1929 Ex: 1.797600","Age: 104 ex_fr_female$Type: Predicted Year: 1930 Ex: 2.023320","Age: 104 ex_fr_female$Type: Predicted Year: 1931 Ex: 1.859119","Age: 104 ex_fr_female$Type: Predicted Year: 1932 Ex: 1.889925","Age: 104 ex_fr_female$Type: Predicted Year: 1933 Ex: 1.857196","Age: 104 ex_fr_female$Type: Predicted Year: 1934 Ex: 1.992288","Age: 104 ex_fr_female$Type: Predicted Year: 1935 Ex: 1.897103","Age: 104 ex_fr_female$Type: Predicted Year: 1936 Ex: 1.942976","Age: 104 ex_fr_female$Type: Predicted Year: 1937 Ex: 1.937807","Age: 104 ex_fr_female$Type: Predicted Year: 1938 Ex: 1.915394","Age: 104 ex_fr_female$Type: Predicted Year: 1939 Ex: 1.891301","Age: 104 ex_fr_female$Type: Predicted Year: 1940 Ex: 1.697052","Age: 104 ex_fr_female$Type: Predicted Year: 1941 Ex: 1.806467","Age: 104 ex_fr_female$Type: Predicted Year: 1942 Ex: 1.803027","Age: 104 ex_fr_female$Type: Predicted Year: 1943 Ex: 1.842741","Age: 104 ex_fr_female$Type: Predicted Year: 1944 Ex: 1.761753","Age: 104 ex_fr_female$Type: Predicted Year: 1945 Ex: 1.854108","Age: 104 ex_fr_female$Type: Predicted Year: 1946 Ex: 1.981728","Age: 104 ex_fr_female$Type: Predicted Year: 1947 Ex: 2.027684","Age: 104 ex_fr_female$Type: Predicted Year: 1948 Ex: 2.124171","Age: 104 ex_fr_female$Type: Predicted Year: 1949 Ex: 1.920498","Age: 104 ex_fr_female$Type: Predicted Year: 1950 Ex: 2.000040","Age: 104 ex_fr_female$Type: Predicted Year: 1951 Ex: 1.885710","Age: 104 ex_fr_female$Type: Predicted Year: 1952 Ex: 1.983469","Age: 104 ex_fr_female$Type: Predicted Year: 1953 Ex: 1.879845","Age: 104 ex_fr_female$Type: Predicted Year: 1954 Ex: 1.997874","Age: 104 ex_fr_female$Type: Predicted Year: 1955 Ex: 1.968194","Age: 104 ex_fr_female$Type: Predicted Year: 1956 Ex: 1.896440","Age: 104 ex_fr_female$Type: Predicted Year: 1957 Ex: 1.936327","Age: 104 ex_fr_female$Type: Predicted Year: 1958 Ex: 1.999358","Age: 104 ex_fr_female$Type: Predicted Year: 1959 Ex: 1.997268","Age: 104 ex_fr_female$Type: Predicted Year: 1960 Ex: 1.953171","Age: 104 ex_fr_female$Type: Predicted Year: 1961 Ex: 2.034511","Age: 104 ex_fr_female$Type: Predicted Year: 1962 Ex: 1.951830","Age: 104 ex_fr_female$Type: Predicted Year: 1963 Ex: 1.926265","Age: 104 ex_fr_female$Type: Predicted Year: 1964 Ex: 2.043622","Age: 104 ex_fr_female$Type: Predicted Year: 1965 Ex: 2.001268","Age: 104 ex_fr_female$Type: Predicted Year: 1966 Ex: 2.052585","Age: 104 ex_fr_female$Type: Predicted Year: 1967 Ex: 2.021693","Age: 104 ex_fr_female$Type: Predicted Year: 1968 Ex: 1.996047","Age: 104 ex_fr_female$Type: Predicted Year: 1969 Ex: 2.030147","Age: 104 ex_fr_female$Type: Predicted Year: 1970 Ex: 2.033051","Age: 104 ex_fr_female$Type: Predicted Year: 1971 Ex: 1.985030","Age: 104 ex_fr_female$Type: Predicted Year: 1972 Ex: 2.059554","Age: 104 ex_fr_female$Type: Predicted Year: 1973 Ex: 2.021671","Age: 104 ex_fr_female$Type: Predicted Year: 1974 Ex: 2.024226","Age: 104 ex_fr_female$Type: Predicted Year: 1975 Ex: 2.018799","Age: 104 ex_fr_female$Type: Predicted Year: 1976 Ex: 2.011485","Age: 104 ex_fr_female$Type: Predicted Year: 1977 Ex: 2.078199","Age: 104 ex_fr_female$Type: Predicted Year: 1978 Ex: 2.073592","Age: 104 ex_fr_female$Type: Predicted Year: 1979 Ex: 2.088505","Age: 104 ex_fr_female$Type: Predicted Year: 1980 Ex: 2.046945","Age: 104 ex_fr_female$Type: Predicted Year: 1981 Ex: 2.030217","Age: 104 ex_fr_female$Type: Predicted Year: 1982 Ex: 2.082537","Age: 104 ex_fr_female$Type: Predicted Year: 1983 Ex: 2.022634","Age: 104 ex_fr_female$Type: Predicted Year: 1984 Ex: 2.082344","Age: 104 ex_fr_female$Type: Predicted Year: 1985 Ex: 2.052577","Age: 104 ex_fr_female$Type: Predicted Year: 1986 Ex: 2.058972","Age: 104 ex_fr_female$Type: Predicted Year: 1987 Ex: 2.119203","Age: 104 ex_fr_female$Type: Predicted Year: 1988 Ex: 2.122573","Age: 104 ex_fr_female$Type: Predicted Year: 1989 Ex: 2.077543","Age: 104 ex_fr_female$Type: Predicted Year: 1990 Ex: 2.078027","Age: 104 ex_fr_female$Type: Predicted Year: 1991 Ex: 2.113741","Age: 104 ex_fr_female$Type: Predicted Year: 1992 Ex: 2.122805","Age: 104 ex_fr_female$Type: Predicted Year: 1993 Ex: 2.102350","Age: 104 ex_fr_female$Type: Predicted Year: 1994 Ex: 2.153428","Age: 104 ex_fr_female$Type: Predicted Year: 1995 Ex: 2.114358","Age: 104 ex_fr_female$Type: Predicted Year: 1996 Ex: 2.107806","Age: 104 ex_fr_female$Type: Predicted Year: 1997 Ex: 2.116923","Age: 104 ex_fr_female$Type: Predicted Year: 1998 Ex: 2.115569","Age: 104 ex_fr_female$Type: Predicted Year: 1999 Ex: 2.112105","Age: 104 ex_fr_female$Type: Predicted Year: 2000 Ex: 2.128867","Age: 104 ex_fr_female$Type: Predicted Year: 2001 Ex: 2.130584","Age: 104 ex_fr_female$Type: Predicted Year: 2002 Ex: 2.124360","Age: 104 ex_fr_female$Type: Predicted Year: 2003 Ex: 2.052321","Age: 104 ex_fr_female$Type: Predicted Year: 2004 Ex: 2.215248","Age: 104 ex_fr_female$Type: Predicted Year: 2005 Ex: 2.159973","Age: 104 ex_fr_female$Type: Predicted Year: 2006 Ex: 2.222917","Age: 104 ex_fr_female$Type: Predicted Year: 2007 Ex: 2.225471","Age: 104 ex_fr_female$Type: Predicted Year: 2008 Ex: 2.197290","Age: 104 ex_fr_female$Type: Predicted Year: 2009 Ex: 2.194377","Age: 104 ex_fr_female$Type: Predicted Year: 2010 Ex: 2.208137","Age: 104 ex_fr_female$Type: Predicted Year: 2011 Ex: 2.227783","Age: 104 ex_fr_female$Type: Predicted Year: 2012 Ex: 2.146295","Age: 104 ex_fr_female$Type: Predicted Year: 2013 Ex: 2.171064","Age: 104 ex_fr_female$Type: Predicted Year: 2014 Ex: 2.233130","Age: 104 ex_fr_female$Type: Predicted Year: 2015 Ex: 2.135229","Age: 104 ex_fr_female$Type: Predicted Year: 2016 Ex: 2.162737","Age: 104 ex_fr_female$Type: Predicted Year: 2017 Ex: 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ex_fr_female$Type: Observed Year: 1942 Ex: 1.280000","Age: 105 ex_fr_female$Type: Observed Year: 1943 Ex: 1.320000","Age: 105 ex_fr_female$Type: Observed Year: 1944 Ex: 1.240000","Age: 105 ex_fr_female$Type: Observed Year: 1945 Ex: 1.330000","Age: 105 ex_fr_female$Type: Observed Year: 1946 Ex: 1.450000","Age: 105 ex_fr_female$Type: Observed Year: 1947 Ex: 1.490000","Age: 105 ex_fr_female$Type: Observed Year: 1948 Ex: 1.590000","Age: 105 ex_fr_female$Type: Observed Year: 1949 Ex: 1.390000","Age: 105 ex_fr_female$Type: Observed Year: 1950 Ex: 1.470000","Age: 105 ex_fr_female$Type: Observed Year: 1951 Ex: 1.360000","Age: 105 ex_fr_female$Type: Observed Year: 1952 Ex: 1.450000","Age: 105 ex_fr_female$Type: Observed Year: 1953 Ex: 1.350000","Age: 105 ex_fr_female$Type: Observed Year: 1954 Ex: 1.460000","Age: 105 ex_fr_female$Type: Observed Year: 1955 Ex: 1.440000","Age: 105 ex_fr_female$Type: Observed Year: 1956 Ex: 1.370000","Age: 105 ex_fr_female$Type: Observed Year: 1957 Ex: 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1973 Ex: 1.480000","Age: 105 ex_fr_female$Type: Observed Year: 1974 Ex: 1.490000","Age: 105 ex_fr_female$Type: Observed Year: 1975 Ex: 1.480000","Age: 105 ex_fr_female$Type: Observed Year: 1976 Ex: 1.470000","Age: 105 ex_fr_female$Type: Observed Year: 1977 Ex: 1.540000","Age: 105 ex_fr_female$Type: Observed Year: 1978 Ex: 1.530000","Age: 105 ex_fr_female$Type: Observed Year: 1979 Ex: 1.550000","Age: 105 ex_fr_female$Type: Observed Year: 1980 Ex: 1.510000","Age: 105 ex_fr_female$Type: Observed Year: 1981 Ex: 1.490000","Age: 105 ex_fr_female$Type: Observed Year: 1982 Ex: 1.540000","Age: 105 ex_fr_female$Type: Observed Year: 1983 Ex: 1.480000","Age: 105 ex_fr_female$Type: Observed Year: 1984 Ex: 1.540000","Age: 105 ex_fr_female$Type: Observed Year: 1985 Ex: 1.510000","Age: 105 ex_fr_female$Type: Observed Year: 1986 Ex: 1.520000","Age: 105 ex_fr_female$Type: Observed Year: 1987 Ex: 1.570000","Age: 105 ex_fr_female$Type: Observed Year: 1988 Ex: 1.580000","Age: 105 ex_fr_female$Type: Observed Year: 1989 Ex: 1.530000","Age: 105 ex_fr_female$Type: Observed Year: 1990 Ex: 1.530000","Age: 105 ex_fr_female$Type: Observed Year: 1991 Ex: 1.570000","Age: 105 ex_fr_female$Type: Observed Year: 1992 Ex: 1.570000","Age: 105 ex_fr_female$Type: Observed Year: 1993 Ex: 1.550000","Age: 105 ex_fr_female$Type: Observed Year: 1994 Ex: 1.600000","Age: 105 ex_fr_female$Type: Observed Year: 1995 Ex: 1.560000","Age: 105 ex_fr_female$Type: Observed Year: 1996 Ex: 1.560000","Age: 105 ex_fr_female$Type: Observed Year: 1997 Ex: 1.570000","Age: 105 ex_fr_female$Type: Observed Year: 1998 Ex: 1.570000","Age: 105 ex_fr_female$Type: Observed Year: 1999 Ex: 1.560000","Age: 105 ex_fr_female$Type: Observed Year: 2000 Ex: 1.580000","Age: 105 ex_fr_female$Type: Observed Year: 2001 Ex: 1.580000","Age: 105 ex_fr_female$Type: Observed Year: 2002 Ex: 1.570000","Age: 105 ex_fr_female$Type: Observed Year: 2003 Ex: 1.500000","Age: 105 ex_fr_female$Type: Observed Year: 2004 Ex: 1.660000","Age: 105 ex_fr_female$Type: Observed Year: 2005 Ex: 1.600000","Age: 105 ex_fr_female$Type: Observed Year: 2006 Ex: 1.660000","Age: 105 ex_fr_female$Type: Observed Year: 2007 Ex: 1.660000","Age: 105 ex_fr_female$Type: Observed Year: 2008 Ex: 1.640000","Age: 105 ex_fr_female$Type: Observed Year: 2009 Ex: 1.640000","Age: 105 ex_fr_female$Type: Observed Year: 2010 Ex: 1.650000","Age: 105 ex_fr_female$Type: Observed Year: 2011 Ex: 1.660000","Age: 105 ex_fr_female$Type: Observed Year: 2012 Ex: 1.590000","Age: 105 ex_fr_female$Type: Observed Year: 2013 Ex: 1.610000","Age: 105 ex_fr_female$Type: Observed Year: 2014 Ex: 1.670000","Age: 105 ex_fr_female$Type: Observed Year: 2015 Ex: 1.580000","Age: 105 ex_fr_female$Type: Observed Year: 2016 Ex: 1.600000","Age: 105 ex_fr_female$Type: Observed Year: 2017 Ex: 1.560000"],"frame":"105","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[2.78944579575434,2.53541045734696,2.52521276752363,2.59908780939316,2.55528808612875,2.76405787702498,2.46251493664909,2.42049766958338,2.79651241808292,2.53409793456596,2.39097086337921,2.72495681574152,2.65720839963454,2.43944051258583,2.55783698665296,2.38869511941702,2.42899032432595,2.55160481421376,2.50042330199554,2.41650318850896,2.47251236064098,2.30240397399035,2.48710202129937,2.62724428325087,2.31735881232517,2.39401614010273,2.38017030521256,2.39621890447588,2.39226514462042,2.47460155136911,2.17605446669606,2.11490466177549,2.23651388845276,2.23983307281985,2.30974102042611,2.15168742823048,2.19381902625232,2.03945946983276,2.01989632637668,1.88000865738447,1.96955360677623,1.96497154575566,1.95541203892152,2.0004982101417,2.07899953696101,2.05789592122138,2.05865418327964,2.06291230339591,2.03580515744019,1.97376951625637,2.0412549732333,2.00705233882118,1.99949111784208,2.0152409167545,1.92735876414525,1.82773239612882,2.09769652046131,1.95476477069984,1.99260323919629,1.95235962789717,1.94742821542326,1.9246842956706,1.92806891472428,1.84006659698522,2.01788636307117,2.12348974163743,2.06327651530767,1.93111837747396,2.00986295494351,1.91300313811285,1.88979605616936,1.9189611391373,1.91181654001638,1.99752346459761,1.91271391148873,1.82099331125332,1.84118544054067,1.83466425732694,1.83246151193985,1.77248645672582,1.88598066884346,2.0386533458815,1.92787757916302,1.84657226124395,1.86198794248945,1.89914104084912,1.91094211508471,1.91798956549784,1.87061263605915,1.81640944706413,1.81500217337561,1.86295803913143,1.90974644180952,1.87090247851882,1.90629925747167,1.7862361941928,1.94274785652741,1.94272372623699,1.81210554734863,1.86777140176093,1.83216213379171,1.77966906306566,1.8199351439214,1.77251500218987,1.9138170363442,1.86419051674801,1.82534850524389,1.89569850427966,1.90030232822137,1.81276660953829,1.85860764763681,1.8415303795419,1.84169988674412,1.76662257411163,1.97607554052954,1.82305756165922,1.85078165260648,1.82026944499429,1.94631691786528,1.85728836424676,1.90019373897557,1.89419897588095,1.87404639809852,1.85197482626051,1.67354819624874,1.77331096034466,1.77011599830732,1.80692841515045,1.73287608327904,1.81750104151927,1.93487143876794,1.97783283975522,2.06769806756972,1.87830987504,1.9512030740628,1.84513351637271,1.93509080737307,1.83938829135043,1.94800089607669,1.92044276074465,1.85387666790365,1.88994928016205,1.94847690661847,1.94625708756495,1.90515514447421,1.97993204680055,1.90406246842639,1.88025578708292,1.98824891081998,1.94922913108374,1.99627205260176,1.96743592892596,1.94348399795867,1.97523704647788,1.97699637859353,1.93216980085719,2.00128167184098,1.96619826882516,1.96785358490785,1.96279522739245,1.95545912724151,2.01647268690141,2.01254577496067,2.02586004736753,1.98667902100761,1.97136964807725,2.01913344249873,1.96376165975128,2.01816088968595,1.99048738830718,1.99580908339726,2.05037331103059,2.05285860537307,2.01054822717807,2.01031118916524,2.04286814901848,2.05037855760499,2.0314394757389,2.07750710311969,2.0412447894137,2.03498234365678,2.04292643142676,2.04151836614453,2.03836606961588,2.05307641593806,2.05396819835965,2.04818101385539,1.98219623705495,2.12984769847036,2.0791670845619,2.13602895881117,2.13803188296814,2.11175641029721,2.10883039829801,2.12080929388025,2.13773107142905,2.06312798878734,2.08509529931306,2.14094815387279,2.0516264331719,2.07615407598857,2.03853793246845],"text":["Age: 105 ex_fr_female$Type: Predicted Year: 1816 Ex: 2.789446","Age: 105 ex_fr_female$Type: Predicted Year: 1817 Ex: 2.535410","Age: 105 ex_fr_female$Type: Predicted Year: 1818 Ex: 2.525213","Age: 105 ex_fr_female$Type: Predicted Year: 1819 Ex: 2.599088","Age: 105 ex_fr_female$Type: Predicted Year: 1820 Ex: 2.555288","Age: 105 ex_fr_female$Type: Predicted Year: 1821 Ex: 2.764058","Age: 105 ex_fr_female$Type: Predicted Year: 1822 Ex: 2.462515","Age: 105 ex_fr_female$Type: Predicted Year: 1823 Ex: 2.420498","Age: 105 ex_fr_female$Type: Predicted Year: 1824 Ex: 2.796512","Age: 105 ex_fr_female$Type: Predicted Year: 1825 Ex: 2.534098","Age: 105 ex_fr_female$Type: Predicted Year: 1826 Ex: 2.390971","Age: 105 ex_fr_female$Type: Predicted Year: 1827 Ex: 2.724957","Age: 105 ex_fr_female$Type: Predicted Year: 1828 Ex: 2.657208","Age: 105 ex_fr_female$Type: Predicted Year: 1829 Ex: 2.439441","Age: 105 ex_fr_female$Type: Predicted Year: 1830 Ex: 2.557837","Age: 105 ex_fr_female$Type: Predicted Year: 1831 Ex: 2.388695","Age: 105 ex_fr_female$Type: Predicted Year: 1832 Ex: 2.428990","Age: 105 ex_fr_female$Type: Predicted Year: 1833 Ex: 2.551605","Age: 105 ex_fr_female$Type: Predicted Year: 1834 Ex: 2.500423","Age: 105 ex_fr_female$Type: Predicted Year: 1835 Ex: 2.416503","Age: 105 ex_fr_female$Type: Predicted Year: 1836 Ex: 2.472512","Age: 105 ex_fr_female$Type: Predicted Year: 1837 Ex: 2.302404","Age: 105 ex_fr_female$Type: Predicted Year: 1838 Ex: 2.487102","Age: 105 ex_fr_female$Type: Predicted Year: 1839 Ex: 2.627244","Age: 105 ex_fr_female$Type: Predicted Year: 1840 Ex: 2.317359","Age: 105 ex_fr_female$Type: Predicted Year: 1841 Ex: 2.394016","Age: 105 ex_fr_female$Type: Predicted Year: 1842 Ex: 2.380170","Age: 105 ex_fr_female$Type: Predicted Year: 1843 Ex: 2.396219","Age: 105 ex_fr_female$Type: Predicted Year: 1844 Ex: 2.392265","Age: 105 ex_fr_female$Type: Predicted Year: 1845 Ex: 2.474602","Age: 105 ex_fr_female$Type: Predicted Year: 1846 Ex: 2.176054","Age: 105 ex_fr_female$Type: Predicted Year: 1847 Ex: 2.114905","Age: 105 ex_fr_female$Type: Predicted Year: 1848 Ex: 2.236514","Age: 105 ex_fr_female$Type: Predicted Year: 1849 Ex: 2.239833","Age: 105 ex_fr_female$Type: Predicted Year: 1850 Ex: 2.309741","Age: 105 ex_fr_female$Type: Predicted Year: 1851 Ex: 2.151687","Age: 105 ex_fr_female$Type: Predicted Year: 1852 Ex: 2.193819","Age: 105 ex_fr_female$Type: Predicted Year: 1853 Ex: 2.039459","Age: 105 ex_fr_female$Type: Predicted Year: 1854 Ex: 2.019896","Age: 105 ex_fr_female$Type: Predicted Year: 1855 Ex: 1.880009","Age: 105 ex_fr_female$Type: Predicted Year: 1856 Ex: 1.969554","Age: 105 ex_fr_female$Type: Predicted Year: 1857 Ex: 1.964972","Age: 105 ex_fr_female$Type: Predicted Year: 1858 Ex: 1.955412","Age: 105 ex_fr_female$Type: Predicted Year: 1859 Ex: 2.000498","Age: 105 ex_fr_female$Type: Predicted Year: 1860 Ex: 2.079000","Age: 105 ex_fr_female$Type: Predicted Year: 1861 Ex: 2.057896","Age: 105 ex_fr_female$Type: Predicted Year: 1862 Ex: 2.058654","Age: 105 ex_fr_female$Type: Predicted Year: 1863 Ex: 2.062912","Age: 105 ex_fr_female$Type: Predicted Year: 1864 Ex: 2.035805","Age: 105 ex_fr_female$Type: Predicted Year: 1865 Ex: 1.973770","Age: 105 ex_fr_female$Type: Predicted Year: 1866 Ex: 2.041255","Age: 105 ex_fr_female$Type: Predicted Year: 1867 Ex: 2.007052","Age: 105 ex_fr_female$Type: Predicted Year: 1868 Ex: 1.999491","Age: 105 ex_fr_female$Type: Predicted Year: 1869 Ex: 2.015241","Age: 105 ex_fr_female$Type: Predicted Year: 1870 Ex: 1.927359","Age: 105 ex_fr_female$Type: Predicted Year: 1871 Ex: 1.827732","Age: 105 ex_fr_female$Type: Predicted Year: 1872 Ex: 2.097697","Age: 105 ex_fr_female$Type: Predicted Year: 1873 Ex: 1.954765","Age: 105 ex_fr_female$Type: Predicted Year: 1874 Ex: 1.992603","Age: 105 ex_fr_female$Type: Predicted Year: 1875 Ex: 1.952360","Age: 105 ex_fr_female$Type: Predicted Year: 1876 Ex: 1.947428","Age: 105 ex_fr_female$Type: Predicted Year: 1877 Ex: 1.924684","Age: 105 ex_fr_female$Type: Predicted Year: 1878 Ex: 1.928069","Age: 105 ex_fr_female$Type: Predicted Year: 1879 Ex: 1.840067","Age: 105 ex_fr_female$Type: Predicted Year: 1880 Ex: 2.017886","Age: 105 ex_fr_female$Type: Predicted Year: 1881 Ex: 2.123490","Age: 105 ex_fr_female$Type: Predicted Year: 1882 Ex: 2.063277","Age: 105 ex_fr_female$Type: Predicted Year: 1883 Ex: 1.931118","Age: 105 ex_fr_female$Type: Predicted Year: 1884 Ex: 2.009863","Age: 105 ex_fr_female$Type: Predicted Year: 1885 Ex: 1.913003","Age: 105 ex_fr_female$Type: Predicted Year: 1886 Ex: 1.889796","Age: 105 ex_fr_female$Type: Predicted Year: 1887 Ex: 1.918961","Age: 105 ex_fr_female$Type: Predicted Year: 1888 Ex: 1.911817","Age: 105 ex_fr_female$Type: Predicted Year: 1889 Ex: 1.997523","Age: 105 ex_fr_female$Type: Predicted Year: 1890 Ex: 1.912714","Age: 105 ex_fr_female$Type: Predicted Year: 1891 Ex: 1.820993","Age: 105 ex_fr_female$Type: Predicted Year: 1892 Ex: 1.841185","Age: 105 ex_fr_female$Type: Predicted Year: 1893 Ex: 1.834664","Age: 105 ex_fr_female$Type: Predicted Year: 1894 Ex: 1.832462","Age: 105 ex_fr_female$Type: Predicted Year: 1895 Ex: 1.772486","Age: 105 ex_fr_female$Type: Predicted Year: 1896 Ex: 1.885981","Age: 105 ex_fr_female$Type: Predicted Year: 1897 Ex: 2.038653","Age: 105 ex_fr_female$Type: Predicted Year: 1898 Ex: 1.927878","Age: 105 ex_fr_female$Type: Predicted Year: 1899 Ex: 1.846572","Age: 105 ex_fr_female$Type: Predicted Year: 1900 Ex: 1.861988","Age: 105 ex_fr_female$Type: Predicted Year: 1901 Ex: 1.899141","Age: 105 ex_fr_female$Type: Predicted Year: 1902 Ex: 1.910942","Age: 105 ex_fr_female$Type: Predicted Year: 1903 Ex: 1.917990","Age: 105 ex_fr_female$Type: Predicted Year: 1904 Ex: 1.870613","Age: 105 ex_fr_female$Type: Predicted Year: 1905 Ex: 1.816409","Age: 105 ex_fr_female$Type: Predicted Year: 1906 Ex: 1.815002","Age: 105 ex_fr_female$Type: Predicted Year: 1907 Ex: 1.862958","Age: 105 ex_fr_female$Type: Predicted Year: 1908 Ex: 1.909746","Age: 105 ex_fr_female$Type: Predicted Year: 1909 Ex: 1.870902","Age: 105 ex_fr_female$Type: Predicted Year: 1910 Ex: 1.906299","Age: 105 ex_fr_female$Type: Predicted Year: 1911 Ex: 1.786236","Age: 105 ex_fr_female$Type: Predicted Year: 1912 Ex: 1.942748","Age: 105 ex_fr_female$Type: Predicted Year: 1913 Ex: 1.942724","Age: 105 ex_fr_female$Type: Predicted Year: 1914 Ex: 1.812106","Age: 105 ex_fr_female$Type: Predicted Year: 1915 Ex: 1.867771","Age: 105 ex_fr_female$Type: Predicted Year: 1916 Ex: 1.832162","Age: 105 ex_fr_female$Type: Predicted Year: 1917 Ex: 1.779669","Age: 105 ex_fr_female$Type: Predicted Year: 1918 Ex: 1.819935","Age: 105 ex_fr_female$Type: Predicted Year: 1919 Ex: 1.772515","Age: 105 ex_fr_female$Type: Predicted Year: 1920 Ex: 1.913817","Age: 105 ex_fr_female$Type: Predicted Year: 1921 Ex: 1.864191","Age: 105 ex_fr_female$Type: Predicted Year: 1922 Ex: 1.825349","Age: 105 ex_fr_female$Type: Predicted Year: 1923 Ex: 1.895699","Age: 105 ex_fr_female$Type: Predicted Year: 1924 Ex: 1.900302","Age: 105 ex_fr_female$Type: Predicted Year: 1925 Ex: 1.812767","Age: 105 ex_fr_female$Type: Predicted Year: 1926 Ex: 1.858608","Age: 105 ex_fr_female$Type: Predicted Year: 1927 Ex: 1.841530","Age: 105 ex_fr_female$Type: Predicted Year: 1928 Ex: 1.841700","Age: 105 ex_fr_female$Type: Predicted Year: 1929 Ex: 1.766623","Age: 105 ex_fr_female$Type: Predicted Year: 1930 Ex: 1.976076","Age: 105 ex_fr_female$Type: Predicted Year: 1931 Ex: 1.823058","Age: 105 ex_fr_female$Type: Predicted Year: 1932 Ex: 1.850782","Age: 105 ex_fr_female$Type: Predicted Year: 1933 Ex: 1.820269","Age: 105 ex_fr_female$Type: Predicted Year: 1934 Ex: 1.946317","Age: 105 ex_fr_female$Type: Predicted Year: 1935 Ex: 1.857288","Age: 105 ex_fr_female$Type: Predicted Year: 1936 Ex: 1.900194","Age: 105 ex_fr_female$Type: Predicted Year: 1937 Ex: 1.894199","Age: 105 ex_fr_female$Type: Predicted Year: 1938 Ex: 1.874046","Age: 105 ex_fr_female$Type: Predicted Year: 1939 Ex: 1.851975","Age: 105 ex_fr_female$Type: Predicted Year: 1940 Ex: 1.673548","Age: 105 ex_fr_female$Type: Predicted Year: 1941 Ex: 1.773311","Age: 105 ex_fr_female$Type: Predicted Year: 1942 Ex: 1.770116","Age: 105 ex_fr_female$Type: Predicted Year: 1943 Ex: 1.806928","Age: 105 ex_fr_female$Type: Predicted Year: 1944 Ex: 1.732876","Age: 105 ex_fr_female$Type: Predicted Year: 1945 Ex: 1.817501","Age: 105 ex_fr_female$Type: Predicted Year: 1946 Ex: 1.934871","Age: 105 ex_fr_female$Type: Predicted Year: 1947 Ex: 1.977833","Age: 105 ex_fr_female$Type: Predicted Year: 1948 Ex: 2.067698","Age: 105 ex_fr_female$Type: Predicted Year: 1949 Ex: 1.878310","Age: 105 ex_fr_female$Type: Predicted Year: 1950 Ex: 1.951203","Age: 105 ex_fr_female$Type: Predicted Year: 1951 Ex: 1.845134","Age: 105 ex_fr_female$Type: Predicted Year: 1952 Ex: 1.935091","Age: 105 ex_fr_female$Type: Predicted Year: 1953 Ex: 1.839388","Age: 105 ex_fr_female$Type: Predicted Year: 1954 Ex: 1.948001","Age: 105 ex_fr_female$Type: Predicted Year: 1955 Ex: 1.920443","Age: 105 ex_fr_female$Type: Predicted Year: 1956 Ex: 1.853877","Age: 105 ex_fr_female$Type: Predicted Year: 1957 Ex: 1.889949","Age: 105 ex_fr_female$Type: Predicted Year: 1958 Ex: 1.948477","Age: 105 ex_fr_female$Type: Predicted Year: 1959 Ex: 1.946257","Age: 105 ex_fr_female$Type: Predicted Year: 1960 Ex: 1.905155","Age: 105 ex_fr_female$Type: Predicted Year: 1961 Ex: 1.979932","Age: 105 ex_fr_female$Type: Predicted Year: 1962 Ex: 1.904062","Age: 105 ex_fr_female$Type: Predicted Year: 1963 Ex: 1.880256","Age: 105 ex_fr_female$Type: Predicted Year: 1964 Ex: 1.988249","Age: 105 ex_fr_female$Type: Predicted Year: 1965 Ex: 1.949229","Age: 105 ex_fr_female$Type: Predicted Year: 1966 Ex: 1.996272","Age: 105 ex_fr_female$Type: Predicted Year: 1967 Ex: 1.967436","Age: 105 ex_fr_female$Type: Predicted Year: 1968 Ex: 1.943484","Age: 105 ex_fr_female$Type: Predicted Year: 1969 Ex: 1.975237","Age: 105 ex_fr_female$Type: Predicted Year: 1970 Ex: 1.976996","Age: 105 ex_fr_female$Type: Predicted Year: 1971 Ex: 1.932170","Age: 105 ex_fr_female$Type: Predicted Year: 1972 Ex: 2.001282","Age: 105 ex_fr_female$Type: Predicted Year: 1973 Ex: 1.966198","Age: 105 ex_fr_female$Type: Predicted Year: 1974 Ex: 1.967854","Age: 105 ex_fr_female$Type: Predicted Year: 1975 Ex: 1.962795","Age: 105 ex_fr_female$Type: Predicted Year: 1976 Ex: 1.955459","Age: 105 ex_fr_female$Type: Predicted Year: 1977 Ex: 2.016473","Age: 105 ex_fr_female$Type: Predicted Year: 1978 Ex: 2.012546","Age: 105 ex_fr_female$Type: Predicted Year: 1979 Ex: 2.025860","Age: 105 ex_fr_female$Type: Predicted Year: 1980 Ex: 1.986679","Age: 105 ex_fr_female$Type: Predicted Year: 1981 Ex: 1.971370","Age: 105 ex_fr_female$Type: Predicted Year: 1982 Ex: 2.019133","Age: 105 ex_fr_female$Type: Predicted Year: 1983 Ex: 1.963762","Age: 105 ex_fr_female$Type: Predicted Year: 1984 Ex: 2.018161","Age: 105 ex_fr_female$Type: Predicted Year: 1985 Ex: 1.990487","Age: 105 ex_fr_female$Type: Predicted Year: 1986 Ex: 1.995809","Age: 105 ex_fr_female$Type: Predicted Year: 1987 Ex: 2.050373","Age: 105 ex_fr_female$Type: Predicted Year: 1988 Ex: 2.052859","Age: 105 ex_fr_female$Type: Predicted Year: 1989 Ex: 2.010548","Age: 105 ex_fr_female$Type: Predicted Year: 1990 Ex: 2.010311","Age: 105 ex_fr_female$Type: Predicted Year: 1991 Ex: 2.042868","Age: 105 ex_fr_female$Type: Predicted Year: 1992 Ex: 2.050379","Age: 105 ex_fr_female$Type: Predicted Year: 1993 Ex: 2.031439","Age: 105 ex_fr_female$Type: Predicted Year: 1994 Ex: 2.077507","Age: 105 ex_fr_female$Type: Predicted Year: 1995 Ex: 2.041245","Age: 105 ex_fr_female$Type: Predicted Year: 1996 Ex: 2.034982","Age: 105 ex_fr_female$Type: Predicted Year: 1997 Ex: 2.042926","Age: 105 ex_fr_female$Type: Predicted Year: 1998 Ex: 2.041518","Age: 105 ex_fr_female$Type: Predicted Year: 1999 Ex: 2.038366","Age: 105 ex_fr_female$Type: Predicted Year: 2000 Ex: 2.053076","Age: 105 ex_fr_female$Type: Predicted Year: 2001 Ex: 2.053968","Age: 105 ex_fr_female$Type: Predicted Year: 2002 Ex: 2.048181","Age: 105 ex_fr_female$Type: Predicted Year: 2003 Ex: 1.982196","Age: 105 ex_fr_female$Type: Predicted Year: 2004 Ex: 2.129848","Age: 105 ex_fr_female$Type: Predicted Year: 2005 Ex: 2.079167","Age: 105 ex_fr_female$Type: Predicted Year: 2006 Ex: 2.136029","Age: 105 ex_fr_female$Type: Predicted Year: 2007 Ex: 2.138032","Age: 105 ex_fr_female$Type: Predicted Year: 2008 Ex: 2.111756","Age: 105 ex_fr_female$Type: Predicted Year: 2009 Ex: 2.108830","Age: 105 ex_fr_female$Type: Predicted Year: 2010 Ex: 2.120809","Age: 105 ex_fr_female$Type: Predicted Year: 2011 Ex: 2.137731","Age: 105 ex_fr_female$Type: Predicted Year: 2012 Ex: 2.063128","Age: 105 ex_fr_female$Type: Predicted Year: 2013 Ex: 2.085095","Age: 105 ex_fr_female$Type: Predicted Year: 2014 Ex: 2.140948","Age: 105 ex_fr_female$Type: Predicted Year: 2015 Ex: 2.051626","Age: 105 ex_fr_female$Type: Predicted Year: 2016 Ex: 2.076154","Age: 105 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1926 Ex: 1.340000","Age: 106 ex_fr_female$Type: Observed Year: 1927 Ex: 1.320000","Age: 106 ex_fr_female$Type: Observed Year: 1928 Ex: 1.320000","Age: 106 ex_fr_female$Type: Observed Year: 1929 Ex: 1.250000","Age: 106 ex_fr_female$Type: Observed Year: 1930 Ex: 1.450000","Age: 106 ex_fr_female$Type: Observed Year: 1931 Ex: 1.300000","Age: 106 ex_fr_female$Type: Observed Year: 1932 Ex: 1.330000","Age: 106 ex_fr_female$Type: Observed Year: 1933 Ex: 1.300000","Age: 106 ex_fr_female$Type: Observed Year: 1934 Ex: 1.420000","Age: 106 ex_fr_female$Type: Observed Year: 1935 Ex: 1.330000","Age: 106 ex_fr_female$Type: Observed Year: 1936 Ex: 1.370000","Age: 106 ex_fr_female$Type: Observed Year: 1937 Ex: 1.370000","Age: 106 ex_fr_female$Type: Observed Year: 1938 Ex: 1.350000","Age: 106 ex_fr_female$Type: Observed Year: 1939 Ex: 1.330000","Age: 106 ex_fr_female$Type: Observed Year: 1940 Ex: 1.160000","Age: 106 ex_fr_female$Type: Observed Year: 1941 Ex: 1.250000","Age: 106 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1973 Ex: 1.430000","Age: 106 ex_fr_female$Type: Observed Year: 1974 Ex: 1.430000","Age: 106 ex_fr_female$Type: Observed Year: 1975 Ex: 1.430000","Age: 106 ex_fr_female$Type: Observed Year: 1976 Ex: 1.420000","Age: 106 ex_fr_female$Type: Observed Year: 1977 Ex: 1.480000","Age: 106 ex_fr_female$Type: Observed Year: 1978 Ex: 1.470000","Age: 106 ex_fr_female$Type: Observed Year: 1979 Ex: 1.490000","Age: 106 ex_fr_female$Type: Observed Year: 1980 Ex: 1.450000","Age: 106 ex_fr_female$Type: Observed Year: 1981 Ex: 1.430000","Age: 106 ex_fr_female$Type: Observed Year: 1982 Ex: 1.480000","Age: 106 ex_fr_female$Type: Observed Year: 1983 Ex: 1.430000","Age: 106 ex_fr_female$Type: Observed Year: 1984 Ex: 1.480000","Age: 106 ex_fr_female$Type: Observed Year: 1985 Ex: 1.450000","Age: 106 ex_fr_female$Type: Observed Year: 1986 Ex: 1.460000","Age: 106 ex_fr_female$Type: Observed Year: 1987 Ex: 1.510000","Age: 106 ex_fr_female$Type: Observed Year: 1988 Ex: 1.510000","Age: 106 ex_fr_female$Type: Observed Year: 1989 Ex: 1.470000","Age: 106 ex_fr_female$Type: Observed Year: 1990 Ex: 1.470000","Age: 106 ex_fr_female$Type: Observed Year: 1991 Ex: 1.500000","Age: 106 ex_fr_female$Type: Observed Year: 1992 Ex: 1.500000","Age: 106 ex_fr_female$Type: Observed Year: 1993 Ex: 1.490000","Age: 106 ex_fr_female$Type: Observed Year: 1994 Ex: 1.530000","Age: 106 ex_fr_female$Type: Observed Year: 1995 Ex: 1.500000","Age: 106 ex_fr_female$Type: Observed Year: 1996 Ex: 1.490000","Age: 106 ex_fr_female$Type: Observed Year: 1997 Ex: 1.500000","Age: 106 ex_fr_female$Type: Observed Year: 1998 Ex: 1.490000","Age: 106 ex_fr_female$Type: Observed Year: 1999 Ex: 1.490000","Age: 106 ex_fr_female$Type: Observed Year: 2000 Ex: 1.510000","Age: 106 ex_fr_female$Type: Observed Year: 2001 Ex: 1.510000","Age: 106 ex_fr_female$Type: Observed Year: 2002 Ex: 1.500000","Age: 106 ex_fr_female$Type: Observed Year: 2003 Ex: 1.440000","Age: 106 ex_fr_female$Type: Observed Year: 2004 Ex: 1.570000","Age: 106 ex_fr_female$Type: Observed Year: 2005 Ex: 1.530000","Age: 106 ex_fr_female$Type: Observed Year: 2006 Ex: 1.580000","Age: 106 ex_fr_female$Type: Observed Year: 2007 Ex: 1.580000","Age: 106 ex_fr_female$Type: Observed Year: 2008 Ex: 1.560000","Age: 106 ex_fr_female$Type: Observed Year: 2009 Ex: 1.550000","Age: 106 ex_fr_female$Type: Observed Year: 2010 Ex: 1.560000","Age: 106 ex_fr_female$Type: Observed Year: 2011 Ex: 1.580000","Age: 106 ex_fr_female$Type: Observed Year: 2012 Ex: 1.510000","Age: 106 ex_fr_female$Type: Observed Year: 2013 Ex: 1.530000","Age: 106 ex_fr_female$Type: Observed Year: 2014 Ex: 1.580000","Age: 106 ex_fr_female$Type: Observed Year: 2015 Ex: 1.500000","Age: 106 ex_fr_female$Type: Observed Year: 2016 Ex: 1.520000","Age: 106 ex_fr_female$Type: Observed Year: 2017 Ex: 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106 ex_fr_female$Type: Predicted Year: 1816 Ex: 2.742688","Age: 106 ex_fr_female$Type: Predicted Year: 1817 Ex: 2.487194","Age: 106 ex_fr_female$Type: Predicted Year: 1818 Ex: 2.475467","Age: 106 ex_fr_female$Type: Predicted Year: 1819 Ex: 2.549268","Age: 106 ex_fr_female$Type: Predicted Year: 1820 Ex: 2.509836","Age: 106 ex_fr_female$Type: Predicted Year: 1821 Ex: 2.712883","Age: 106 ex_fr_female$Type: Predicted Year: 1822 Ex: 2.414086","Age: 106 ex_fr_female$Type: Predicted Year: 1823 Ex: 2.372180","Age: 106 ex_fr_female$Type: Predicted Year: 1824 Ex: 2.744997","Age: 106 ex_fr_female$Type: Predicted Year: 1825 Ex: 2.484339","Age: 106 ex_fr_female$Type: Predicted Year: 1826 Ex: 2.345426","Age: 106 ex_fr_female$Type: Predicted Year: 1827 Ex: 2.674408","Age: 106 ex_fr_female$Type: Predicted Year: 1828 Ex: 2.608449","Age: 106 ex_fr_female$Type: Predicted Year: 1829 Ex: 2.393966","Age: 106 ex_fr_female$Type: Predicted Year: 1830 Ex: 2.511008","Age: 106 ex_fr_female$Type: Predicted Year: 1831 Ex: 2.342890","Age: 106 ex_fr_female$Type: Predicted Year: 1832 Ex: 2.385001","Age: 106 ex_fr_female$Type: Predicted Year: 1833 Ex: 2.501142","Age: 106 ex_fr_female$Type: Predicted Year: 1834 Ex: 2.453327","Age: 106 ex_fr_female$Type: Predicted Year: 1835 Ex: 2.368504","Age: 106 ex_fr_female$Type: Predicted Year: 1836 Ex: 2.423730","Age: 106 ex_fr_female$Type: Predicted Year: 1837 Ex: 2.261800","Age: 106 ex_fr_female$Type: Predicted Year: 1838 Ex: 2.440218","Age: 106 ex_fr_female$Type: Predicted Year: 1839 Ex: 2.576100","Age: 106 ex_fr_female$Type: Predicted Year: 1840 Ex: 2.272511","Age: 106 ex_fr_female$Type: Predicted Year: 1841 Ex: 2.346327","Age: 106 ex_fr_female$Type: Predicted Year: 1842 Ex: 2.334931","Age: 106 ex_fr_female$Type: Predicted Year: 1843 Ex: 2.350024","Age: 106 ex_fr_female$Type: Predicted Year: 1844 Ex: 2.345890","Age: 106 ex_fr_female$Type: Predicted Year: 1845 Ex: 2.425762","Age: 106 ex_fr_female$Type: Predicted Year: 1846 Ex: 2.132763","Age: 106 ex_fr_female$Type: Predicted Year: 1847 Ex: 2.076496","Age: 106 ex_fr_female$Type: Predicted Year: 1848 Ex: 2.194216","Age: 106 ex_fr_female$Type: Predicted Year: 1849 Ex: 2.198064","Age: 106 ex_fr_female$Type: Predicted Year: 1850 Ex: 2.263777","Age: 106 ex_fr_female$Type: Predicted Year: 1851 Ex: 2.110044","Age: 106 ex_fr_female$Type: Predicted Year: 1852 Ex: 2.150894","Age: 106 ex_fr_female$Type: Predicted Year: 1853 Ex: 2.002151","Age: 106 ex_fr_female$Type: Predicted Year: 1854 Ex: 1.984151","Age: 106 ex_fr_female$Type: Predicted Year: 1855 Ex: 1.849392","Age: 106 ex_fr_female$Type: Predicted Year: 1856 Ex: 1.932685","Age: 106 ex_fr_female$Type: Predicted Year: 1857 Ex: 1.928977","Age: 106 ex_fr_female$Type: Predicted Year: 1858 Ex: 1.921345","Age: 106 ex_fr_female$Type: Predicted Year: 1859 Ex: 1.964458","Age: 106 ex_fr_female$Type: Predicted Year: 1860 Ex: 2.038125","Age: 106 ex_fr_female$Type: Predicted Year: 1861 Ex: 2.018205","Age: 106 ex_fr_female$Type: Predicted Year: 1862 Ex: 2.018071","Age: 106 ex_fr_female$Type: Predicted Year: 1863 Ex: 2.022465","Age: 106 ex_fr_female$Type: Predicted Year: 1864 Ex: 1.997350","Age: 106 ex_fr_female$Type: Predicted Year: 1865 Ex: 1.937405","Age: 106 ex_fr_female$Type: Predicted Year: 1866 Ex: 2.001832","Age: 106 ex_fr_female$Type: Predicted Year: 1867 Ex: 1.969392","Age: 106 ex_fr_female$Type: Predicted Year: 1868 Ex: 1.962778","Age: 106 ex_fr_female$Type: Predicted Year: 1869 Ex: 1.977673","Age: 106 ex_fr_female$Type: Predicted Year: 1870 Ex: 1.895446","Age: 106 ex_fr_female$Type: Predicted Year: 1871 Ex: 1.799952","Age: 106 ex_fr_female$Type: Predicted Year: 1872 Ex: 2.054402","Age: 106 ex_fr_female$Type: Predicted Year: 1873 Ex: 1.918772","Age: 106 ex_fr_female$Type: Predicted Year: 1874 Ex: 1.953603","Age: 106 ex_fr_female$Type: Predicted Year: 1875 Ex: 1.916782","Age: 106 ex_fr_female$Type: Predicted Year: 1876 Ex: 1.911326","Age: 106 ex_fr_female$Type: Predicted Year: 1877 Ex: 1.888813","Age: 106 ex_fr_female$Type: Predicted Year: 1878 Ex: 1.893593","Age: 106 ex_fr_female$Type: Predicted Year: 1879 Ex: 1.810023","Age: 106 ex_fr_female$Type: Predicted Year: 1880 Ex: 1.980234","Age: 106 ex_fr_female$Type: Predicted Year: 1881 Ex: 2.081271","Age: 106 ex_fr_female$Type: Predicted Year: 1882 Ex: 2.022519","Age: 106 ex_fr_female$Type: Predicted Year: 1883 Ex: 1.895350","Age: 106 ex_fr_female$Type: Predicted Year: 1884 Ex: 1.971003","Age: 106 ex_fr_female$Type: Predicted Year: 1885 Ex: 1.877368","Age: 106 ex_fr_female$Type: Predicted Year: 1886 Ex: 1.855200","Age: 106 ex_fr_female$Type: Predicted Year: 1887 Ex: 1.882625","Age: 106 ex_fr_female$Type: Predicted Year: 1888 Ex: 1.876871","Age: 106 ex_fr_female$Type: Predicted Year: 1889 Ex: 1.958031","Age: 106 ex_fr_female$Type: Predicted Year: 1890 Ex: 1.878585","Age: 106 ex_fr_female$Type: Predicted Year: 1891 Ex: 1.791511","Age: 106 ex_fr_female$Type: Predicted Year: 1892 Ex: 1.811007","Age: 106 ex_fr_female$Type: Predicted Year: 1893 Ex: 1.804378","Age: 106 ex_fr_female$Type: Predicted Year: 1894 Ex: 1.801467","Age: 106 ex_fr_female$Type: Predicted Year: 1895 Ex: 1.745925","Age: 106 ex_fr_female$Type: Predicted Year: 1896 Ex: 1.851453","Age: 106 ex_fr_female$Type: Predicted Year: 1897 Ex: 1.997953","Age: 106 ex_fr_female$Type: Predicted Year: 1898 Ex: 1.893093","Age: 106 ex_fr_female$Type: Predicted Year: 1899 Ex: 1.815278","Age: 106 ex_fr_female$Type: Predicted Year: 1900 Ex: 1.831238","Age: 106 ex_fr_female$Type: Predicted Year: 1901 Ex: 1.865026","Age: 106 ex_fr_female$Type: Predicted Year: 1902 Ex: 1.875577","Age: 106 ex_fr_female$Type: Predicted Year: 1903 Ex: 1.882827","Age: 106 ex_fr_female$Type: Predicted Year: 1904 Ex: 1.838006","Age: 106 ex_fr_female$Type: Predicted Year: 1905 Ex: 1.786515","Age: 106 ex_fr_female$Type: Predicted Year: 1906 Ex: 1.785031","Age: 106 ex_fr_female$Type: Predicted Year: 1907 Ex: 1.831346","Age: 106 ex_fr_female$Type: Predicted Year: 1908 Ex: 1.874528","Age: 106 ex_fr_female$Type: Predicted Year: 1909 Ex: 1.838701","Age: 106 ex_fr_female$Type: Predicted Year: 1910 Ex: 1.870775","Age: 106 ex_fr_female$Type: Predicted Year: 1911 Ex: 1.758310","Age: 106 ex_fr_female$Type: Predicted Year: 1912 Ex: 1.904811","Age: 106 ex_fr_female$Type: Predicted Year: 1913 Ex: 1.905104","Age: 106 ex_fr_female$Type: Predicted Year: 1914 Ex: 1.782581","Age: 106 ex_fr_female$Type: Predicted Year: 1915 Ex: 1.834988","Age: 106 ex_fr_female$Type: Predicted Year: 1916 Ex: 1.801346","Age: 106 ex_fr_female$Type: Predicted Year: 1917 Ex: 1.752401","Age: 106 ex_fr_female$Type: Predicted Year: 1918 Ex: 1.789946","Age: 106 ex_fr_female$Type: Predicted Year: 1919 Ex: 1.745246","Age: 106 ex_fr_female$Type: Predicted Year: 1920 Ex: 1.877085","Age: 106 ex_fr_female$Type: Predicted Year: 1921 Ex: 1.830175","Age: 106 ex_fr_female$Type: Predicted Year: 1922 Ex: 1.794364","Age: 106 ex_fr_female$Type: Predicted Year: 1923 Ex: 1.859561","Age: 106 ex_fr_female$Type: Predicted Year: 1924 Ex: 1.864407","Age: 106 ex_fr_female$Type: Predicted Year: 1925 Ex: 1.782155","Age: 106 ex_fr_female$Type: Predicted Year: 1926 Ex: 1.825377","Age: 106 ex_fr_female$Type: Predicted Year: 1927 Ex: 1.809141","Age: 106 ex_fr_female$Type: Predicted Year: 1928 Ex: 1.808563","Age: 106 ex_fr_female$Type: Predicted Year: 1929 Ex: 1.739696","Age: 106 ex_fr_female$Type: Predicted Year: 1930 Ex: 1.934680","Age: 106 ex_fr_female$Type: Predicted Year: 1931 Ex: 1.791632","Age: 106 ex_fr_female$Type: Predicted Year: 1932 Ex: 1.816706","Age: 106 ex_fr_female$Type: Predicted Year: 1933 Ex: 1.788183","Age: 106 ex_fr_female$Type: Predicted Year: 1934 Ex: 1.906111","Age: 106 ex_fr_female$Type: Predicted Year: 1935 Ex: 1.822620","Age: 106 ex_fr_female$Type: Predicted Year: 1936 Ex: 1.862858","Age: 106 ex_fr_female$Type: Predicted Year: 1937 Ex: 1.856244","Age: 106 ex_fr_female$Type: Predicted Year: 1938 Ex: 1.838037","Age: 106 ex_fr_female$Type: Predicted Year: 1939 Ex: 1.817731","Age: 106 ex_fr_female$Type: Predicted Year: 1940 Ex: 1.653378","Age: 106 ex_fr_female$Type: Predicted Year: 1941 Ex: 1.744609","Age: 106 ex_fr_female$Type: Predicted Year: 1942 Ex: 1.741645","Age: 106 ex_fr_female$Type: Predicted Year: 1943 Ex: 1.775832","Age: 106 ex_fr_female$Type: Predicted Year: 1944 Ex: 1.707908","Age: 106 ex_fr_female$Type: Predicted Year: 1945 Ex: 1.785699","Age: 106 ex_fr_female$Type: Predicted Year: 1946 Ex: 1.894031","Age: 106 ex_fr_female$Type: Predicted Year: 1947 Ex: 1.934313","Age: 106 ex_fr_female$Type: Predicted Year: 1948 Ex: 2.018307","Age: 106 ex_fr_female$Type: Predicted Year: 1949 Ex: 1.841599","Age: 106 ex_fr_female$Type: Predicted Year: 1950 Ex: 1.908662","Age: 106 ex_fr_female$Type: Predicted Year: 1951 Ex: 1.809947","Age: 106 ex_fr_female$Type: Predicted Year: 1952 Ex: 1.893017","Age: 106 ex_fr_female$Type: Predicted Year: 1953 Ex: 1.804363","Age: 106 ex_fr_female$Type: Predicted Year: 1954 Ex: 1.904654","Age: 106 ex_fr_female$Type: Predicted Year: 1955 Ex: 1.878980","Age: 106 ex_fr_female$Type: Predicted Year: 1956 Ex: 1.817056","Age: 106 ex_fr_female$Type: Predicted Year: 1957 Ex: 1.849816","Age: 106 ex_fr_female$Type: Predicted Year: 1958 Ex: 1.904316","Age: 106 ex_fr_female$Type: Predicted Year: 1959 Ex: 1.902014","Age: 106 ex_fr_female$Type: Predicted Year: 1960 Ex: 1.863608","Age: 106 ex_fr_female$Type: Predicted Year: 1961 Ex: 1.932593","Age: 106 ex_fr_female$Type: Predicted Year: 1962 Ex: 1.862705","Age: 106 ex_fr_female$Type: Predicted Year: 1963 Ex: 1.840486","Age: 106 ex_fr_female$Type: Predicted Year: 1964 Ex: 1.940214","Age: 106 ex_fr_female$Type: Predicted Year: 1965 Ex: 1.904130","Age: 106 ex_fr_female$Type: Predicted Year: 1966 Ex: 1.947435","Age: 106 ex_fr_female$Type: Predicted Year: 1967 Ex: 1.920455","Age: 106 ex_fr_female$Type: Predicted Year: 1968 Ex: 1.898021","Age: 106 ex_fr_female$Type: Predicted Year: 1969 Ex: 1.927687","Age: 106 ex_fr_female$Type: Predicted Year: 1970 Ex: 1.928516","Age: 106 ex_fr_female$Type: Predicted Year: 1971 Ex: 1.886568","Age: 106 ex_fr_female$Type: Predicted Year: 1972 Ex: 1.950864","Age: 106 ex_fr_female$Type: Predicted Year: 1973 Ex: 1.918259","Age: 106 ex_fr_female$Type: Predicted Year: 1974 Ex: 1.919187","Age: 106 ex_fr_female$Type: Predicted Year: 1975 Ex: 1.914470","Age: 106 ex_fr_female$Type: Predicted Year: 1976 Ex: 1.907173","Age: 106 ex_fr_female$Type: Predicted Year: 1977 Ex: 1.963196","Age: 106 ex_fr_female$Type: Predicted Year: 1978 Ex: 1.959841","Age: 106 ex_fr_female$Type: Predicted Year: 1979 Ex: 1.971782","Age: 106 ex_fr_female$Type: Predicted Year: 1980 Ex: 1.934793","Age: 106 ex_fr_female$Type: Predicted Year: 1981 Ex: 1.920731","Age: 106 ex_fr_female$Type: Predicted Year: 1982 Ex: 1.964512","Age: 106 ex_fr_female$Type: Predicted Year: 1983 Ex: 1.913162","Age: 106 ex_fr_female$Type: Predicted Year: 1984 Ex: 1.962935","Age: 106 ex_fr_female$Type: Predicted Year: 1985 Ex: 1.937119","Age: 106 ex_fr_female$Type: Predicted Year: 1986 Ex: 1.941567","Age: 106 ex_fr_female$Type: Predicted Year: 1987 Ex: 1.991215","Age: 106 ex_fr_female$Type: Predicted Year: 1988 Ex: 1.992993","Age: 106 ex_fr_female$Type: Predicted Year: 1989 Ex: 1.953183","Age: 106 ex_fr_female$Type: Predicted Year: 1990 Ex: 1.952382","Age: 106 ex_fr_female$Type: Predicted Year: 1991 Ex: 1.982172","Age: 106 ex_fr_female$Type: Predicted Year: 1992 Ex: 1.988407","Age: 106 ex_fr_female$Type: Predicted Year: 1993 Ex: 1.970833","Age: 106 ex_fr_female$Type: Predicted Year: 1994 Ex: 2.012557","Age: 106 ex_fr_female$Type: Predicted Year: 1995 Ex: 1.978826","Age: 106 ex_fr_female$Type: Predicted Year: 1996 Ex: 1.972857","Age: 106 ex_fr_female$Type: Predicted Year: 1997 Ex: 1.979799","Age: 106 ex_fr_female$Type: Predicted Year: 1998 Ex: 1.978374","Age: 106 ex_fr_female$Type: Predicted Year: 1999 Ex: 1.975478","Age: 106 ex_fr_female$Type: Predicted Year: 2000 Ex: 1.988473","Age: 106 ex_fr_female$Type: Predicted Year: 2001 Ex: 1.988718","Age: 106 ex_fr_female$Type: Predicted Year: 2002 Ex: 1.983304","Age: 106 ex_fr_female$Type: Predicted Year: 2003 Ex: 1.922713","Age: 106 ex_fr_female$Type: Predicted Year: 2004 Ex: 2.057032","Age: 106 ex_fr_female$Type: Predicted Year: 2005 Ex: 2.010403","Age: 106 ex_fr_female$Type: Predicted Year: 2006 Ex: 2.062012","Age: 106 ex_fr_female$Type: Predicted Year: 2007 Ex: 2.063558","Age: 106 ex_fr_female$Type: Predicted Year: 2008 Ex: 2.039019","Age: 106 ex_fr_female$Type: Predicted Year: 2009 Ex: 2.036117","Age: 106 ex_fr_female$Type: Predicted Year: 2010 Ex: 2.046599","Age: 106 ex_fr_female$Type: Predicted Year: 2011 Ex: 2.061229","Age: 106 ex_fr_female$Type: Predicted Year: 2012 Ex: 1.992731","Age: 106 ex_fr_female$Type: Predicted Year: 2013 Ex: 2.012293","Age: 106 ex_fr_female$Type: Predicted Year: 2014 Ex: 2.062785","Age: 106 ex_fr_female$Type: Predicted Year: 2015 Ex: 1.981034","Age: 106 ex_fr_female$Type: Predicted Year: 2016 Ex: 2.002999","Age: 106 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1926 Ex: 1.300000","Age: 107 ex_fr_female$Type: Observed Year: 1927 Ex: 1.290000","Age: 107 ex_fr_female$Type: Observed Year: 1928 Ex: 1.290000","Age: 107 ex_fr_female$Type: Observed Year: 1929 Ex: 1.220000","Age: 107 ex_fr_female$Type: Observed Year: 1930 Ex: 1.410000","Age: 107 ex_fr_female$Type: Observed Year: 1931 Ex: 1.270000","Age: 107 ex_fr_female$Type: Observed Year: 1932 Ex: 1.290000","Age: 107 ex_fr_female$Type: Observed Year: 1933 Ex: 1.270000","Age: 107 ex_fr_female$Type: Observed Year: 1934 Ex: 1.380000","Age: 107 ex_fr_female$Type: Observed Year: 1935 Ex: 1.300000","Age: 107 ex_fr_female$Type: Observed Year: 1936 Ex: 1.340000","Age: 107 ex_fr_female$Type: Observed Year: 1937 Ex: 1.330000","Age: 107 ex_fr_female$Type: Observed Year: 1938 Ex: 1.310000","Age: 107 ex_fr_female$Type: Observed Year: 1939 Ex: 1.290000","Age: 107 ex_fr_female$Type: Observed Year: 1940 Ex: 1.140000","Age: 107 ex_fr_female$Type: Observed Year: 1941 Ex: 1.230000","Age: 107 ex_fr_female$Type: Observed Year: 1942 Ex: 1.220000","Age: 107 ex_fr_female$Type: Observed Year: 1943 Ex: 1.260000","Age: 107 ex_fr_female$Type: Observed Year: 1944 Ex: 1.190000","Age: 107 ex_fr_female$Type: Observed Year: 1945 Ex: 1.260000","Age: 107 ex_fr_female$Type: Observed Year: 1946 Ex: 1.370000","Age: 107 ex_fr_female$Type: Observed Year: 1947 Ex: 1.400000","Age: 107 ex_fr_female$Type: Observed Year: 1948 Ex: 1.480000","Age: 107 ex_fr_female$Type: Observed Year: 1949 Ex: 1.320000","Age: 107 ex_fr_female$Type: Observed Year: 1950 Ex: 1.380000","Age: 107 ex_fr_female$Type: Observed Year: 1951 Ex: 1.290000","Age: 107 ex_fr_female$Type: Observed Year: 1952 Ex: 1.360000","Age: 107 ex_fr_female$Type: Observed Year: 1953 Ex: 1.280000","Age: 107 ex_fr_female$Type: Observed Year: 1954 Ex: 1.370000","Age: 107 ex_fr_female$Type: Observed Year: 1955 Ex: 1.350000","Age: 107 ex_fr_female$Type: Observed Year: 1956 Ex: 1.290000","Age: 107 ex_fr_female$Type: Observed Year: 1957 Ex: 1.320000","Age: 107 ex_fr_female$Type: Observed Year: 1958 Ex: 1.370000","Age: 107 ex_fr_female$Type: Observed Year: 1959 Ex: 1.370000","Age: 107 ex_fr_female$Type: Observed Year: 1960 Ex: 1.340000","Age: 107 ex_fr_female$Type: Observed Year: 1961 Ex: 1.400000","Age: 107 ex_fr_female$Type: Observed Year: 1962 Ex: 1.330000","Age: 107 ex_fr_female$Type: Observed Year: 1963 Ex: 1.310000","Age: 107 ex_fr_female$Type: Observed Year: 1964 Ex: 1.410000","Age: 107 ex_fr_female$Type: Observed Year: 1965 Ex: 1.370000","Age: 107 ex_fr_female$Type: Observed Year: 1966 Ex: 1.410000","Age: 107 ex_fr_female$Type: Observed Year: 1967 Ex: 1.390000","Age: 107 ex_fr_female$Type: Observed Year: 1968 Ex: 1.370000","Age: 107 ex_fr_female$Type: Observed Year: 1969 Ex: 1.390000","Age: 107 ex_fr_female$Type: Observed Year: 1970 Ex: 1.390000","Age: 107 ex_fr_female$Type: Observed Year: 1971 Ex: 1.360000","Age: 107 ex_fr_female$Type: Observed Year: 1972 Ex: 1.420000","Age: 107 ex_fr_female$Type: Observed Year: 1973 Ex: 1.380000","Age: 107 ex_fr_female$Type: Observed Year: 1974 Ex: 1.390000","Age: 107 ex_fr_female$Type: Observed Year: 1975 Ex: 1.380000","Age: 107 ex_fr_female$Type: Observed Year: 1976 Ex: 1.370000","Age: 107 ex_fr_female$Type: Observed Year: 1977 Ex: 1.430000","Age: 107 ex_fr_female$Type: Observed Year: 1978 Ex: 1.420000","Age: 107 ex_fr_female$Type: Observed Year: 1979 Ex: 1.430000","Age: 107 ex_fr_female$Type: Observed Year: 1980 Ex: 1.400000","Age: 107 ex_fr_female$Type: Observed Year: 1981 Ex: 1.390000","Age: 107 ex_fr_female$Type: Observed Year: 1982 Ex: 1.430000","Age: 107 ex_fr_female$Type: Observed Year: 1983 Ex: 1.380000","Age: 107 ex_fr_female$Type: Observed Year: 1984 Ex: 1.420000","Age: 107 ex_fr_female$Type: Observed Year: 1985 Ex: 1.400000","Age: 107 ex_fr_female$Type: Observed Year: 1986 Ex: 1.400000","Age: 107 ex_fr_female$Type: Observed Year: 1987 Ex: 1.450000","Age: 107 ex_fr_female$Type: Observed Year: 1988 Ex: 1.450000","Age: 107 ex_fr_female$Type: Observed Year: 1989 Ex: 1.410000","Age: 107 ex_fr_female$Type: Observed Year: 1990 Ex: 1.410000","Age: 107 ex_fr_female$Type: Observed Year: 1991 Ex: 1.440000","Age: 107 ex_fr_female$Type: Observed Year: 1992 Ex: 1.440000","Age: 107 ex_fr_female$Type: Observed Year: 1993 Ex: 1.430000","Age: 107 ex_fr_female$Type: Observed Year: 1994 Ex: 1.470000","Age: 107 ex_fr_female$Type: Observed Year: 1995 Ex: 1.430000","Age: 107 ex_fr_female$Type: Observed Year: 1996 Ex: 1.430000","Age: 107 ex_fr_female$Type: Observed Year: 1997 Ex: 1.440000","Age: 107 ex_fr_female$Type: Observed Year: 1998 Ex: 1.430000","Age: 107 ex_fr_female$Type: Observed Year: 1999 Ex: 1.430000","Age: 107 ex_fr_female$Type: Observed Year: 2000 Ex: 1.440000","Age: 107 ex_fr_female$Type: Observed Year: 2001 Ex: 1.440000","Age: 107 ex_fr_female$Type: Observed Year: 2002 Ex: 1.440000","Age: 107 ex_fr_female$Type: Observed Year: 2003 Ex: 1.380000","Age: 107 ex_fr_female$Type: Observed Year: 2004 Ex: 1.500000","Age: 107 ex_fr_female$Type: Observed Year: 2005 Ex: 1.460000","Age: 107 ex_fr_female$Type: Observed Year: 2006 Ex: 1.510000","Age: 107 ex_fr_female$Type: Observed Year: 2007 Ex: 1.510000","Age: 107 ex_fr_female$Type: Observed Year: 2008 Ex: 1.490000","Age: 107 ex_fr_female$Type: Observed Year: 2009 Ex: 1.480000","Age: 107 ex_fr_female$Type: Observed Year: 2010 Ex: 1.490000","Age: 107 ex_fr_female$Type: Observed Year: 2011 Ex: 1.510000","Age: 107 ex_fr_female$Type: Observed Year: 2012 Ex: 1.440000","Age: 107 ex_fr_female$Type: Observed Year: 2013 Ex: 1.460000","Age: 107 ex_fr_female$Type: Observed Year: 2014 Ex: 1.510000","Age: 107 ex_fr_female$Type: Observed Year: 2015 Ex: 1.430000","Age: 107 ex_fr_female$Type: Observed Year: 2016 Ex: 1.450000","Age: 107 ex_fr_female$Type: Observed Year: 2017 Ex: 1.420000"],"frame":"107","type":"scatter","mode":"lines","line":{"width":1.88976377952756,"color":"rgba(248,118,109,1)","dash":"solid"},"hoveron":"points","name":"Observed","legendgroup":"Observed","showlegend":true,"xaxis":"x","yaxis":"y","hoverinfo":"text","visible":true},{"x":[1816,1817,1818,1819,1820,1821,1822,1823,1824,1825,1826,1827,1828,1829,1830,1831,1832,1833,1834,1835,1836,1837,1838,1839,1840,1841,1842,1843,1844,1845,1846,1847,1848,1849,1850,1851,1852,1853,1854,1855,1856,1857,1858,1859,1860,1861,1862,1863,1864,1865,1866,1867,1868,1869,1870,1871,1872,1873,1874,1875,1876,1877,1878,1879,1880,1881,1882,1883,1884,1885,1886,1887,1888,1889,1890,1891,1892,1893,1894,1895,1896,1897,1898,1899,1900,1901,1902,1903,1904,1905,1906,1907,1908,1909,1910,1911,1912,1913,1914,1915,1916,1917,1918,1919,1920,1921,1922,1923,1924,1925,1926,1927,1928,1929,1930,1931,1932,1933,1934,1935,1936,1937,1938,1939,1940,1941,1942,1943,1944,1945,1946,1947,1948,1949,1950,1951,1952,1953,1954,1955,1956,1957,1958,1959,1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017],"y":[2.70297607651181,2.44613437189768,2.43316569368479,2.50690831576389,2.4710776971402,2.66949281718083,2.37283448473634,2.33102112412304,2.70134823230428,2.44202390098975,2.3065759342186,2.63151755577575,2.56699325070617,2.3551663360974,2.47111232237321,2.30380329050237,2.34743663342926,2.45825674461449,2.41320044311568,2.32761664054861,2.38220052361714,2.22703328091259,2.40025308456531,2.53266542742829,2.23422563577218,2.30568971305338,2.29633596426147,2.31063152745537,2.30634351909086,2.38419400775059,2.09585047118863,2.04363451961712,2.15807449211225,2.16234673395463,2.22460468173191,2.07449759670362,2.11426587318045,1.97029562668206,1.95360744650725,1.8233218717609,1.90135444892933,1.89836639854491,1.89229828388768,1.93372142306924,2.00332379767889,1.98439167871107,1.9835389184027,1.9880329749345,1.96457397481144,1.90646277673781,1.96827474543525,1.93731782172221,1.93149921685876,1.94565629273933,1.86819687128759,1.77633042265749,2.01761859548126,1.88817199692911,1.92050241782469,1.88653169121455,1.88067467059029,1.85843044071069,1.86429166429374,1.78457185395794,1.94814791162553,2.04530019731792,1.98783040994575,1.86501737521789,1.93796472654204,1.84721188991838,1.82595792596708,1.85190357169904,1.84727063760766,1.92453836859904,1.8496132513322,1.76659026311169,1.78544840609362,1.77875822313781,1.7753176770123,1.7235559781391,1.82227192634504,1.96336573417189,1.86354529989384,1.78881612970619,1.80513047910337,1.83611281095279,1.84564284344827,1.85302839356546,1.81042088830754,1.7612926671713,1.75976013873801,1.80457213249359,1.84471043049942,1.81142221591165,1.84074354230939,1.73478876063834,1.87272979296251,1.87327593983058,1.75767333540858,1.80727006198537,1.77532779615439,1.72944094943723,1.76465317243392,1.72231985520337,1.84607504526631,1.80150320760392,1.76826011877531,1.8290845235717,1.83409948062953,1.75641103654158,1.79735710985592,1.78185053611517,1.78069643703187,1.71708322923943,1.89974787894293,1.76521037966462,1.78806634802813,1.76126310355876,1.87223332503053,1.79349253413065,1.83142431908089,1.82437550716637,1.80776666090425,1.78895906593567,1.63662934708762,1.72060256339356,1.71781856020664,1.74975939333557,1.68702379491428,1.75900315989378,1.85972051888915,1.89770113713599,1.97676494777457,1.81077431132599,1.87295536023373,1.78049782519844,1.8577532194176,1.77506909663596,1.86833012887942,1.84427002322612,1.78630640411354,1.81629465128922,1.86735649553942,1.86501739646723,1.82890498823659,1.89303587846532,1.82816150303558,1.8073188065137,1.90007435414745,1.86646010139332,1.90663633704197,1.88123824557242,1.86010032682318,1.88797479670622,1.88808585011655,1.84862193765637,1.90881707090565,1.87831926505316,1.87868089776283,1.87424659363683,1.86702785692578,1.91888740958916,1.91598851540582,1.92679777065535,1.89170413807336,1.87870035722693,1.9191571361821,1.87121508589933,1.91711677938271,1.89290049728336,1.89664923996389,1.94222090610471,1.94344656380873,1.90581525960249,1.90459177461059,1.93208276939522,1.93728569066891,1.92087702303381,1.95902484229872,1.92744375275839,1.92173515387122,1.92788025566228,1.92644519461713,1.92377728095008,1.93537593512309,1.93513089833031,1.93003992300803,1.87399823206513,1.99723775652724,1.95401357510436,2.00125660743471,2.00246352120598,1.97941204808977,1.97654502013544,1.9858331759026,1.99863091477912,1.93527561709971,1.95286972607686,1.99892838021543,1.92353879246377,1.94340774153807,1.91115793777306],"text":["Age: 107 ex_fr_female$Type: Predicted Year: 1816 Ex: 2.702976","Age: 107 ex_fr_female$Type: Predicted Year: 1817 Ex: 2.446134","Age: 107 ex_fr_female$Type: Predicted Year: 1818 Ex: 2.433166","Age: 107 ex_fr_female$Type: Predicted Year: 1819 Ex: 2.506908","Age: 107 ex_fr_female$Type: Predicted Year: 1820 Ex: 2.471078","Age: 107 ex_fr_female$Type: Predicted Year: 1821 Ex: 2.669493","Age: 107 ex_fr_female$Type: Predicted Year: 1822 Ex: 2.372834","Age: 107 ex_fr_female$Type: Predicted Year: 1823 Ex: 2.331021","Age: 107 ex_fr_female$Type: Predicted Year: 1824 Ex: 2.701348","Age: 107 ex_fr_female$Type: Predicted Year: 1825 Ex: 2.442024","Age: 107 ex_fr_female$Type: Predicted Year: 1826 Ex: 2.306576","Age: 107 ex_fr_female$Type: Predicted Year: 1827 Ex: 2.631518","Age: 107 ex_fr_female$Type: Predicted Year: 1828 Ex: 2.566993","Age: 107 ex_fr_female$Type: Predicted Year: 1829 Ex: 2.355166","Age: 107 ex_fr_female$Type: Predicted Year: 1830 Ex: 2.471112","Age: 107 ex_fr_female$Type: Predicted Year: 1831 Ex: 2.303803","Age: 107 ex_fr_female$Type: Predicted Year: 1832 Ex: 2.347437","Age: 107 ex_fr_female$Type: Predicted Year: 1833 Ex: 2.458257","Age: 107 ex_fr_female$Type: Predicted Year: 1834 Ex: 2.413200","Age: 107 ex_fr_female$Type: Predicted Year: 1835 Ex: 2.327617","Age: 107 ex_fr_female$Type: Predicted Year: 1836 Ex: 2.382201","Age: 107 ex_fr_female$Type: Predicted Year: 1837 Ex: 2.227033","Age: 107 ex_fr_female$Type: Predicted Year: 1838 Ex: 2.400253","Age: 107 ex_fr_female$Type: Predicted Year: 1839 Ex: 2.532665","Age: 107 ex_fr_female$Type: Predicted Year: 1840 Ex: 2.234226","Age: 107 ex_fr_female$Type: Predicted Year: 1841 Ex: 2.305690","Age: 107 ex_fr_female$Type: Predicted Year: 1842 Ex: 2.296336","Age: 107 ex_fr_female$Type: Predicted Year: 1843 Ex: 2.310632","Age: 107 ex_fr_female$Type: Predicted Year: 1844 Ex: 2.306344","Age: 107 ex_fr_female$Type: Predicted Year: 1845 Ex: 2.384194","Age: 107 ex_fr_female$Type: Predicted Year: 1846 Ex: 2.095850","Age: 107 ex_fr_female$Type: Predicted Year: 1847 Ex: 2.043635","Age: 107 ex_fr_female$Type: Predicted Year: 1848 Ex: 2.158074","Age: 107 ex_fr_female$Type: Predicted Year: 1849 Ex: 2.162347","Age: 107 ex_fr_female$Type: Predicted Year: 1850 Ex: 2.224605","Age: 107 ex_fr_female$Type: Predicted Year: 1851 Ex: 2.074498","Age: 107 ex_fr_female$Type: Predicted Year: 1852 Ex: 2.114266","Age: 107 ex_fr_female$Type: Predicted Year: 1853 Ex: 1.970296","Age: 107 ex_fr_female$Type: Predicted Year: 1854 Ex: 1.953607","Age: 107 ex_fr_female$Type: Predicted Year: 1855 Ex: 1.823322","Age: 107 ex_fr_female$Type: Predicted Year: 1856 Ex: 1.901354","Age: 107 ex_fr_female$Type: Predicted Year: 1857 Ex: 1.898366","Age: 107 ex_fr_female$Type: Predicted Year: 1858 Ex: 1.892298","Age: 107 ex_fr_female$Type: Predicted Year: 1859 Ex: 1.933721","Age: 107 ex_fr_female$Type: Predicted Year: 1860 Ex: 2.003324","Age: 107 ex_fr_female$Type: Predicted Year: 1861 Ex: 1.984392","Age: 107 ex_fr_female$Type: Predicted Year: 1862 Ex: 1.983539","Age: 107 ex_fr_female$Type: Predicted Year: 1863 Ex: 1.988033","Age: 107 ex_fr_female$Type: Predicted Year: 1864 Ex: 1.964574","Age: 107 ex_fr_female$Type: Predicted Year: 1865 Ex: 1.906463","Age: 107 ex_fr_female$Type: Predicted Year: 1866 Ex: 1.968275","Age: 107 ex_fr_female$Type: Predicted Year: 1867 Ex: 1.937318","Age: 107 ex_fr_female$Type: Predicted Year: 1868 Ex: 1.931499","Age: 107 ex_fr_female$Type: Predicted Year: 1869 Ex: 1.945656","Age: 107 ex_fr_female$Type: Predicted Year: 1870 Ex: 1.868197","Age: 107 ex_fr_female$Type: Predicted Year: 1871 Ex: 1.776330","Age: 107 ex_fr_female$Type: Predicted Year: 1872 Ex: 2.017619","Age: 107 ex_fr_female$Type: Predicted Year: 1873 Ex: 1.888172","Age: 107 ex_fr_female$Type: Predicted Year: 1874 Ex: 1.920502","Age: 107 ex_fr_female$Type: Predicted Year: 1875 Ex: 1.886532","Age: 107 ex_fr_female$Type: Predicted Year: 1876 Ex: 1.880675","Age: 107 ex_fr_female$Type: Predicted Year: 1877 Ex: 1.858430","Age: 107 ex_fr_female$Type: Predicted Year: 1878 Ex: 1.864292","Age: 107 ex_fr_female$Type: Predicted Year: 1879 Ex: 1.784572","Age: 107 ex_fr_female$Type: Predicted Year: 1880 Ex: 1.948148","Age: 107 ex_fr_female$Type: Predicted Year: 1881 Ex: 2.045300","Age: 107 ex_fr_female$Type: Predicted Year: 1882 Ex: 1.987830","Age: 107 ex_fr_female$Type: Predicted Year: 1883 Ex: 1.865017","Age: 107 ex_fr_female$Type: Predicted Year: 1884 Ex: 1.937965","Age: 107 ex_fr_female$Type: Predicted Year: 1885 Ex: 1.847212","Age: 107 ex_fr_female$Type: Predicted Year: 1886 Ex: 1.825958","Age: 107 ex_fr_female$Type: Predicted Year: 1887 Ex: 1.851904","Age: 107 ex_fr_female$Type: Predicted Year: 1888 Ex: 1.847271","Age: 107 ex_fr_female$Type: Predicted Year: 1889 Ex: 1.924538","Age: 107 ex_fr_female$Type: Predicted Year: 1890 Ex: 1.849613","Age: 107 ex_fr_female$Type: Predicted Year: 1891 Ex: 1.766590","Age: 107 ex_fr_female$Type: Predicted Year: 1892 Ex: 1.785448","Age: 107 ex_fr_female$Type: Predicted Year: 1893 Ex: 1.778758","Age: 107 ex_fr_female$Type: Predicted Year: 1894 Ex: 1.775318","Age: 107 ex_fr_female$Type: Predicted Year: 1895 Ex: 1.723556","Age: 107 ex_fr_female$Type: Predicted Year: 1896 Ex: 1.822272","Age: 107 ex_fr_female$Type: Predicted Year: 1897 Ex: 1.963366","Age: 107 ex_fr_female$Type: Predicted Year: 1898 Ex: 1.863545","Age: 107 ex_fr_female$Type: Predicted Year: 1899 Ex: 1.788816","Age: 107 ex_fr_female$Type: Predicted Year: 1900 Ex: 1.805130","Age: 107 ex_fr_female$Type: Predicted Year: 1901 Ex: 1.836113","Age: 107 ex_fr_female$Type: Predicted Year: 1902 Ex: 1.845643","Age: 107 ex_fr_female$Type: Predicted Year: 1903 Ex: 1.853028","Age: 107 ex_fr_female$Type: Predicted Year: 1904 Ex: 1.810421","Age: 107 ex_fr_female$Type: Predicted Year: 1905 Ex: 1.761293","Age: 107 ex_fr_female$Type: Predicted Year: 1906 Ex: 1.759760","Age: 107 ex_fr_female$Type: Predicted Year: 1907 Ex: 1.804572","Age: 107 ex_fr_female$Type: Predicted Year: 1908 Ex: 1.844710","Age: 107 ex_fr_female$Type: Predicted Year: 1909 Ex: 1.811422","Age: 107 ex_fr_female$Type: Predicted Year: 1910 Ex: 1.840744","Age: 107 ex_fr_female$Type: Predicted Year: 1911 Ex: 1.734789","Age: 107 ex_fr_female$Type: Predicted Year: 1912 Ex: 1.872730","Age: 107 ex_fr_female$Type: Predicted Year: 1913 Ex: 1.873276","Age: 107 ex_fr_female$Type: Predicted Year: 1914 Ex: 1.757673","Age: 107 ex_fr_female$Type: Predicted Year: 1915 Ex: 1.807270","Age: 107 ex_fr_female$Type: Predicted Year: 1916 Ex: 1.775328","Age: 107 ex_fr_female$Type: Predicted Year: 1917 Ex: 1.729441","Age: 107 ex_fr_female$Type: Predicted Year: 1918 Ex: 1.764653","Age: 107 ex_fr_female$Type: Predicted Year: 1919 Ex: 1.722320","Age: 107 ex_fr_female$Type: Predicted Year: 1920 Ex: 1.846075","Age: 107 ex_fr_female$Type: Predicted Year: 1921 Ex: 1.801503","Age: 107 ex_fr_female$Type: Predicted Year: 1922 Ex: 1.768260","Age: 107 ex_fr_female$Type: Predicted Year: 1923 Ex: 1.829085","Age: 107 ex_fr_female$Type: Predicted Year: 1924 Ex: 1.834099","Age: 107 ex_fr_female$Type: Predicted Year: 1925 Ex: 1.756411","Age: 107 ex_fr_female$Type: Predicted Year: 1926 Ex: 1.797357","Age: 107 ex_fr_female$Type: Predicted Year: 1927 Ex: 1.781851","Age: 107 ex_fr_female$Type: Predicted Year: 1928 Ex: 1.780696","Age: 107 ex_fr_female$Type: Predicted Year: 1929 Ex: 1.717083","Age: 107 ex_fr_female$Type: Predicted Year: 1930 Ex: 1.899748","Age: 107 ex_fr_female$Type: Predicted Year: 1931 Ex: 1.765210","Age: 107 ex_fr_female$Type: Predicted Year: 1932 Ex: 1.788066","Age: 107 ex_fr_female$Type: Predicted Year: 1933 Ex: 1.761263","Age: 107 ex_fr_female$Type: Predicted Year: 1934 Ex: 1.872233","Age: 107 ex_fr_female$Type: Predicted Year: 1935 Ex: 1.793493","Age: 107 ex_fr_female$Type: Predicted Year: 1936 Ex: 1.831424","Age: 107 ex_fr_female$Type: Predicted Year: 1937 Ex: 1.824376","Age: 107 ex_fr_female$Type: Predicted Year: 1938 Ex: 1.807767","Age: 107 ex_fr_female$Type: Predicted Year: 1939 Ex: 1.788959","Age: 107 ex_fr_female$Type: Predicted Year: 1940 Ex: 1.636629","Age: 107 ex_fr_female$Type: Predicted Year: 1941 Ex: 1.720603","Age: 107 ex_fr_female$Type: Predicted Year: 1942 Ex: 1.717819","Age: 107 ex_fr_female$Type: Predicted Year: 1943 Ex: 1.749759","Age: 107 ex_fr_female$Type: Predicted Year: 1944 Ex: 1.687024","Age: 107 ex_fr_female$Type: Predicted Year: 1945 Ex: 1.759003","Age: 107 ex_fr_female$Type: Predicted Year: 1946 Ex: 1.859721","Age: 107 ex_fr_female$Type: Predicted Year: 1947 Ex: 1.897701","Age: 107 ex_fr_female$Type: Predicted Year: 1948 Ex: 1.976765","Age: 107 ex_fr_female$Type: Predicted Year: 1949 Ex: 1.810774","Age: 107 ex_fr_female$Type: Predicted Year: 1950 Ex: 1.872955","Age: 107 ex_fr_female$Type: Predicted Year: 1951 Ex: 1.780498","Age: 107 ex_fr_female$Type: Predicted Year: 1952 Ex: 1.857753","Age: 107 ex_fr_female$Type: Predicted Year: 1953 Ex: 1.775069","Age: 107 ex_fr_female$Type: Predicted Year: 1954 Ex: 1.868330","Age: 107 ex_fr_female$Type: Predicted Year: 1955 Ex: 1.844270","Age: 107 ex_fr_female$Type: Predicted Year: 1956 Ex: 1.786306","Age: 107 ex_fr_female$Type: Predicted Year: 1957 Ex: 1.816295","Age: 107 ex_fr_female$Type: Predicted Year: 1958 Ex: 1.867356","Age: 107 ex_fr_female$Type: Predicted Year: 1959 Ex: 1.865017","Age: 107 ex_fr_female$Type: Predicted Year: 1960 Ex: 1.828905","Age: 107 ex_fr_female$Type: Predicted Year: 1961 Ex: 1.893036","Age: 107 ex_fr_female$Type: Predicted Year: 1962 Ex: 1.828162","Age: 107 ex_fr_female$Type: Predicted Year: 1963 Ex: 1.807319","Age: 107 ex_fr_female$Type: Predicted Year: 1964 Ex: 1.900074","Age: 107 ex_fr_female$Type: Predicted Year: 1965 Ex: 1.866460","Age: 107 ex_fr_female$Type: Predicted Year: 1966 Ex: 1.906636","Age: 107 ex_fr_female$Type: Predicted Year: 1967 Ex: 1.881238","Age: 107 ex_fr_female$Type: Predicted Year: 1968 Ex: 1.860100","Age: 107 ex_fr_female$Type: Predicted Year: 1969 Ex: 1.887975","Age: 107 ex_fr_female$Type: Predicted Year: 1970 Ex: 1.888086","Age: 107 ex_fr_female$Type: Predicted Year: 1971 Ex: 1.848622","Age: 107 ex_fr_female$Type: Predicted Year: 1972 Ex: 1.908817","Age: 107 ex_fr_female$Type: Predicted Year: 1973 Ex: 1.878319","Age: 107 ex_fr_female$Type: Predicted Year: 1974 Ex: 1.878681","Age: 107 ex_fr_female$Type: Predicted Year: 1975 Ex: 1.874247","Age: 107 ex_fr_female$Type: Predicted Year: 1976 Ex: 1.867028","Age: 107 ex_fr_female$Type: Predicted Year: 1977 Ex: 1.918887","Age: 107 ex_fr_female$Type: Predicted Year: 1978 Ex: 1.915989","Age: 107 ex_fr_female$Type: Predicted Year: 1979 Ex: 1.926798","Age: 107 ex_fr_female$Type: Predicted Year: 1980 Ex: 1.891704","Age: 107 ex_fr_female$Type: Predicted Year: 1981 Ex: 1.878700","Age: 107 ex_fr_female$Type: Predicted Year: 1982 Ex: 1.919157","Age: 107 ex_fr_female$Type: Predicted Year: 1983 Ex: 1.871215","Age: 107 ex_fr_female$Type: Predicted Year: 1984 Ex: 1.917117","Age: 107 ex_fr_female$Type: Predicted Year: 1985 Ex: 1.892900","Age: 107 ex_fr_female$Type: Predicted Year: 1986 Ex: 1.896649","Age: 107 ex_fr_female$Type: Predicted Year: 1987 Ex: 1.942221","Age: 107 ex_fr_female$Type: Predicted Year: 1988 Ex: 1.943447","Age: 107 ex_fr_female$Type: Predicted Year: 1989 Ex: 1.905815","Age: 107 ex_fr_female$Type: Predicted Year: 1990 Ex: 1.904592","Age: 107 ex_fr_female$Type: Predicted Year: 1991 Ex: 1.932083","Age: 107 ex_fr_female$Type: Predicted Year: 1992 Ex: 1.937286","Age: 107 ex_fr_female$Type: Predicted Year: 1993 Ex: 1.920877","Age: 107 ex_fr_female$Type: Predicted Year: 1994 Ex: 1.959025","Age: 107 ex_fr_female$Type: Predicted Year: 1995 Ex: 1.927444","Age: 107 ex_fr_female$Type: Predicted Year: 1996 Ex: 1.921735","Age: 107 ex_fr_female$Type: Predicted Year: 1997 Ex: 1.927880","Age: 107 ex_fr_female$Type: Predicted Year: 1998 Ex: 1.926445","Age: 107 ex_fr_female$Type: Predicted Year: 1999 Ex: 1.923777","Age: 107 ex_fr_female$Type: Predicted Year: 2000 Ex: 1.935376","Age: 107 ex_fr_female$Type: Predicted Year: 2001 Ex: 1.935131","Age: 107 ex_fr_female$Type: Predicted Year: 2002 Ex: 1.930040","Age: 107 ex_fr_female$Type: Predicted Year: 2003 Ex: 1.873998","Age: 107 ex_fr_female$Type: Predicted Year: 2004 Ex: 1.997238","Age: 107 ex_fr_female$Type: Predicted Year: 2005 Ex: 1.954014","Age: 107 ex_fr_female$Type: Predicted Year: 2006 Ex: 2.001257","Age: 107 ex_fr_female$Type: Predicted Year: 2007 Ex: 2.002464","Age: 107 ex_fr_female$Type: Predicted Year: 2008 Ex: 1.979412","Age: 107 ex_fr_female$Type: Predicted Year: 2009 Ex: 1.976545","Age: 107 ex_fr_female$Type: Predicted Year: 2010 Ex: 1.985833","Age: 107 ex_fr_female$Type: Predicted Year: 2011 Ex: 1.998631","Age: 107 ex_fr_female$Type: Predicted Year: 2012 Ex: 1.935276","Age: 107 ex_fr_female$Type: Predicted Year: 2013 Ex: 1.952870","Age: 107 ex_fr_female$Type: Predicted Year: 2014 Ex: 1.998928","Age: 107 ex_fr_female$Type: Predicted Year: 2015 Ex: 1.923539","Age: 107 ex_fr_female$Type: Predicted Year: 2016 Ex: 1.943408","Age: 107 ex_fr_female$Type: Predicted Year: 2017 Ex: 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1.250000","Age: 108 ex_fr_female$Type: Observed Year: 1895 Ex: 1.210000","Age: 108 ex_fr_female$Type: Observed Year: 1896 Ex: 1.300000","Age: 108 ex_fr_female$Type: Observed Year: 1897 Ex: 1.430000","Age: 108 ex_fr_female$Type: Observed Year: 1898 Ex: 1.340000","Age: 108 ex_fr_female$Type: Observed Year: 1899 Ex: 1.270000","Age: 108 ex_fr_female$Type: Observed Year: 1900 Ex: 1.280000","Age: 108 ex_fr_female$Type: Observed Year: 1901 Ex: 1.310000","Age: 108 ex_fr_female$Type: Observed Year: 1902 Ex: 1.320000","Age: 108 ex_fr_female$Type: Observed Year: 1903 Ex: 1.330000","Age: 108 ex_fr_female$Type: Observed Year: 1904 Ex: 1.290000","Age: 108 ex_fr_female$Type: Observed Year: 1905 Ex: 1.240000","Age: 108 ex_fr_female$Type: Observed Year: 1906 Ex: 1.240000","Age: 108 ex_fr_female$Type: Observed Year: 1907 Ex: 1.280000","Age: 108 ex_fr_female$Type: Observed Year: 1908 Ex: 1.320000","Age: 108 ex_fr_female$Type: Observed Year: 1909 Ex: 1.290000","Age: 108 ex_fr_female$Type: Observed Year: 1910 Ex: 1.320000","Age: 108 ex_fr_female$Type: Observed Year: 1911 Ex: 1.220000","Age: 108 ex_fr_female$Type: Observed Year: 1912 Ex: 1.350000","Age: 108 ex_fr_female$Type: Observed Year: 1913 Ex: 1.350000","Age: 108 ex_fr_female$Type: Observed Year: 1914 Ex: 1.240000","Age: 108 ex_fr_female$Type: Observed Year: 1915 Ex: 1.280000","Age: 108 ex_fr_female$Type: Observed Year: 1916 Ex: 1.250000","Age: 108 ex_fr_female$Type: Observed Year: 1917 Ex: 1.210000","Age: 108 ex_fr_female$Type: Observed Year: 1918 Ex: 1.240000","Age: 108 ex_fr_female$Type: Observed Year: 1919 Ex: 1.200000","Age: 108 ex_fr_female$Type: Observed Year: 1920 Ex: 1.320000","Age: 108 ex_fr_female$Type: Observed Year: 1921 Ex: 1.280000","Age: 108 ex_fr_female$Type: Observed Year: 1922 Ex: 1.250000","Age: 108 ex_fr_female$Type: Observed Year: 1923 Ex: 1.300000","Age: 108 ex_fr_female$Type: Observed Year: 1924 Ex: 1.310000","Age: 108 ex_fr_female$Type: Observed Year: 1925 Ex: 1.240000","Age: 108 ex_fr_female$Type: Observed Year: 1926 Ex: 1.270000","Age: 108 ex_fr_female$Type: Observed Year: 1927 Ex: 1.260000","Age: 108 ex_fr_female$Type: Observed Year: 1928 Ex: 1.260000","Age: 108 ex_fr_female$Type: Observed Year: 1929 Ex: 1.200000","Age: 108 ex_fr_female$Type: Observed Year: 1930 Ex: 1.370000","Age: 108 ex_fr_female$Type: Observed Year: 1931 Ex: 1.240000","Age: 108 ex_fr_female$Type: Observed Year: 1932 Ex: 1.260000","Age: 108 ex_fr_female$Type: Observed Year: 1933 Ex: 1.240000","Age: 108 ex_fr_female$Type: Observed Year: 1934 Ex: 1.340000","Age: 108 ex_fr_female$Type: Observed Year: 1935 Ex: 1.270000","Age: 108 ex_fr_female$Type: Observed Year: 1936 Ex: 1.310000","Age: 108 ex_fr_female$Type: Observed Year: 1937 Ex: 1.300000","Age: 108 ex_fr_female$Type: Observed Year: 1938 Ex: 1.280000","Age: 108 ex_fr_female$Type: Observed Year: 1939 Ex: 1.270000","Age: 108 ex_fr_female$Type: Observed Year: 1940 Ex: 1.120000","Age: 108 ex_fr_female$Type: Observed Year: 1941 Ex: 1.200000","Age: 108 ex_fr_female$Type: Observed Year: 1942 Ex: 1.200000","Age: 108 ex_fr_female$Type: Observed Year: 1943 Ex: 1.230000","Age: 108 ex_fr_female$Type: Observed Year: 1944 Ex: 1.170000","Age: 108 ex_fr_female$Type: Observed Year: 1945 Ex: 1.240000","Age: 108 ex_fr_female$Type: Observed Year: 1946 Ex: 1.330000","Age: 108 ex_fr_female$Type: Observed Year: 1947 Ex: 1.370000","Age: 108 ex_fr_female$Type: Observed Year: 1948 Ex: 1.440000","Age: 108 ex_fr_female$Type: Observed Year: 1949 Ex: 1.290000","Age: 108 ex_fr_female$Type: Observed Year: 1950 Ex: 1.340000","Age: 108 ex_fr_female$Type: Observed Year: 1951 Ex: 1.260000","Age: 108 ex_fr_female$Type: Observed Year: 1952 Ex: 1.330000","Age: 108 ex_fr_female$Type: Observed Year: 1953 Ex: 1.250000","Age: 108 ex_fr_female$Type: Observed Year: 1954 Ex: 1.340000","Age: 108 ex_fr_female$Type: Observed Year: 1955 Ex: 1.320000","Age: 108 ex_fr_female$Type: Observed Year: 1956 Ex: 1.260000","Age: 108 ex_fr_female$Type: Observed Year: 1957 Ex: 1.290000","Age: 108 ex_fr_female$Type: Observed Year: 1958 Ex: 1.340000","Age: 108 ex_fr_female$Type: Observed Year: 1959 Ex: 1.330000","Age: 108 ex_fr_female$Type: Observed Year: 1960 Ex: 1.300000","Age: 108 ex_fr_female$Type: Observed Year: 1961 Ex: 1.360000","Age: 108 ex_fr_female$Type: Observed Year: 1962 Ex: 1.300000","Age: 108 ex_fr_female$Type: Observed Year: 1963 Ex: 1.280000","Age: 108 ex_fr_female$Type: Observed Year: 1964 Ex: 1.370000","Age: 108 ex_fr_female$Type: Observed Year: 1965 Ex: 1.330000","Age: 108 ex_fr_female$Type: Observed Year: 1966 Ex: 1.370000","Age: 108 ex_fr_female$Type: Observed Year: 1967 Ex: 1.350000","Age: 108 ex_fr_female$Type: Observed Year: 1968 Ex: 1.330000","Age: 108 ex_fr_female$Type: Observed Year: 1969 Ex: 1.350000","Age: 108 ex_fr_female$Type: Observed Year: 1970 Ex: 1.350000","Age: 108 ex_fr_female$Type: Observed Year: 1971 Ex: 1.320000","Age: 108 ex_fr_female$Type: Observed Year: 1972 Ex: 1.370000","Age: 108 ex_fr_female$Type: Observed Year: 1973 Ex: 1.340000","Age: 108 ex_fr_female$Type: Observed Year: 1974 Ex: 1.340000","Age: 108 ex_fr_female$Type: Observed Year: 1975 Ex: 1.340000","Age: 108 ex_fr_female$Type: Observed Year: 1976 Ex: 1.330000","Age: 108 ex_fr_female$Type: Observed Year: 1977 Ex: 1.380000","Age: 108 ex_fr_female$Type: Observed Year: 1978 Ex: 1.380000","Age: 108 ex_fr_female$Type: Observed Year: 1979 Ex: 1.390000","Age: 108 ex_fr_female$Type: Observed Year: 1980 Ex: 1.360000","Age: 108 ex_fr_female$Type: Observed Year: 1981 Ex: 1.340000","Age: 108 ex_fr_female$Type: Observed Year: 1982 Ex: 1.380000","Age: 108 ex_fr_female$Type: Observed Year: 1983 Ex: 1.340000","Age: 108 ex_fr_female$Type: Observed Year: 1984 Ex: 1.380000","Age: 108 ex_fr_female$Type: Observed Year: 1985 Ex: 1.360000","Age: 108 ex_fr_female$Type: Observed Year: 1986 Ex: 1.360000","Age: 108 ex_fr_female$Type: Observed Year: 1987 Ex: 1.400000","Age: 108 ex_fr_female$Type: Observed Year: 1988 Ex: 1.400000","Age: 108 ex_fr_female$Type: Observed Year: 1989 Ex: 1.370000","Age: 108 ex_fr_female$Type: Observed Year: 1990 Ex: 1.360000","Age: 108 ex_fr_female$Type: Observed Year: 1991 Ex: 1.390000","Age: 108 ex_fr_female$Type: Observed Year: 1992 Ex: 1.390000","Age: 108 ex_fr_female$Type: Observed Year: 1993 Ex: 1.380000","Age: 108 ex_fr_female$Type: Observed Year: 1994 Ex: 1.410000","Age: 108 ex_fr_female$Type: Observed Year: 1995 Ex: 1.380000","Age: 108 ex_fr_female$Type: Observed Year: 1996 Ex: 1.380000","Age: 108 ex_fr_female$Type: Observed Year: 1997 Ex: 1.380000","Age: 108 ex_fr_female$Type: Observed Year: 1998 Ex: 1.380000","Age: 108 ex_fr_female$Type: Observed Year: 1999 Ex: 1.380000","Age: 108 ex_fr_female$Type: Observed Year: 2000 Ex: 1.390000","Age: 108 ex_fr_female$Type: Observed Year: 2001 Ex: 1.390000","Age: 108 ex_fr_female$Type: Observed Year: 2002 Ex: 1.380000","Age: 108 ex_fr_female$Type: Observed Year: 2003 Ex: 1.330000","Age: 108 ex_fr_female$Type: Observed Year: 2004 Ex: 1.450000","Age: 108 ex_fr_female$Type: Observed Year: 2005 Ex: 1.410000","Age: 108 ex_fr_female$Type: Observed Year: 2006 Ex: 1.450000","Age: 108 ex_fr_female$Type: Observed Year: 2007 Ex: 1.450000","Age: 108 ex_fr_female$Type: Observed Year: 2008 Ex: 1.430000","Age: 108 ex_fr_female$Type: Observed Year: 2009 Ex: 1.430000","Age: 108 ex_fr_female$Type: Observed Year: 2010 Ex: 1.430000","Age: 108 ex_fr_female$Type: Observed Year: 2011 Ex: 1.440000","Age: 108 ex_fr_female$Type: Observed Year: 2012 Ex: 1.390000","Age: 108 ex_fr_female$Type: Observed Year: 2013 Ex: 1.400000","Age: 108 ex_fr_female$Type: Observed Year: 2014 Ex: 1.440000","Age: 108 ex_fr_female$Type: Observed Year: 2015 Ex: 1.380000","Age: 108 ex_fr_female$Type: Observed Year: 2016 Ex: 1.390000","Age: 108 ex_fr_female$Type: Observed Year: 2017 Ex: 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108 ex_fr_female$Type: Predicted Year: 1816 Ex: 2.672496","Age: 108 ex_fr_female$Type: Predicted Year: 1817 Ex: 2.414432","Age: 108 ex_fr_female$Type: Predicted Year: 1818 Ex: 2.400504","Age: 108 ex_fr_female$Type: Predicted Year: 1819 Ex: 2.474280","Age: 108 ex_fr_female$Type: Predicted Year: 1820 Ex: 2.441143","Age: 108 ex_fr_female$Type: Predicted Year: 1821 Ex: 2.636220","Age: 108 ex_fr_female$Type: Predicted Year: 1822 Ex: 2.340952","Age: 108 ex_fr_female$Type: Predicted Year: 1823 Ex: 2.299171","Age: 108 ex_fr_female$Type: Predicted Year: 1824 Ex: 2.667892","Age: 108 ex_fr_female$Type: Predicted Year: 1825 Ex: 2.409367","Age: 108 ex_fr_female$Type: Predicted Year: 1826 Ex: 2.276461","Age: 108 ex_fr_female$Type: Predicted Year: 1827 Ex: 2.598591","Age: 108 ex_fr_female$Type: Predicted Year: 1828 Ex: 2.535088","Age: 108 ex_fr_female$Type: Predicted Year: 1829 Ex: 2.325106","Age: 108 ex_fr_female$Type: Predicted Year: 1830 Ex: 2.440307","Age: 108 ex_fr_female$Type: Predicted Year: 1831 Ex: 2.273506","Age: 108 ex_fr_female$Type: Predicted Year: 1832 Ex: 2.318308","Age: 108 ex_fr_female$Type: Predicted Year: 1833 Ex: 2.425177","Age: 108 ex_fr_female$Type: Predicted Year: 1834 Ex: 2.382179","Age: 108 ex_fr_female$Type: Predicted Year: 1835 Ex: 2.295983","Age: 108 ex_fr_female$Type: Predicted Year: 1836 Ex: 2.350097","Age: 108 ex_fr_female$Type: Predicted Year: 1837 Ex: 2.199952","Age: 108 ex_fr_female$Type: Predicted Year: 1838 Ex: 2.369339","Age: 108 ex_fr_female$Type: Predicted Year: 1839 Ex: 2.499245","Age: 108 ex_fr_female$Type: Predicted Year: 1840 Ex: 2.204511","Age: 108 ex_fr_female$Type: Predicted Year: 1841 Ex: 2.274228","Age: 108 ex_fr_female$Type: Predicted Year: 1842 Ex: 2.266395","Age: 108 ex_fr_female$Type: Predicted Year: 1843 Ex: 2.280103","Age: 108 ex_fr_female$Type: Predicted Year: 1844 Ex: 2.275697","Age: 108 ex_fr_female$Type: Predicted Year: 1845 Ex: 2.352074","Age: 108 ex_fr_female$Type: Predicted Year: 1846 Ex: 2.067138","Age: 108 ex_fr_female$Type: Predicted Year: 1847 Ex: 2.017974","Age: 108 ex_fr_female$Type: Predicted Year: 1848 Ex: 2.129929","Age: 108 ex_fr_female$Type: Predicted Year: 1849 Ex: 2.134539","Age: 108 ex_fr_female$Type: Predicted Year: 1850 Ex: 2.194201","Age: 108 ex_fr_female$Type: Predicted Year: 1851 Ex: 2.046819","Age: 108 ex_fr_female$Type: Predicted Year: 1852 Ex: 2.085751","Age: 108 ex_fr_female$Type: Predicted Year: 1853 Ex: 1.945428","Age: 108 ex_fr_female$Type: Predicted Year: 1854 Ex: 1.929721","Age: 108 ex_fr_female$Type: Predicted Year: 1855 Ex: 1.802963","Age: 108 ex_fr_female$Type: Predicted Year: 1856 Ex: 1.876951","Age: 108 ex_fr_female$Type: Predicted Year: 1857 Ex: 1.874502","Age: 108 ex_fr_female$Type: Predicted Year: 1858 Ex: 1.869602","Age: 108 ex_fr_female$Type: Predicted Year: 1859 Ex: 1.909701","Age: 108 ex_fr_female$Type: Predicted Year: 1860 Ex: 1.976224","Age: 108 ex_fr_female$Type: Predicted Year: 1861 Ex: 1.958059","Age: 108 ex_fr_female$Type: Predicted Year: 1862 Ex: 1.956673","Age: 108 ex_fr_female$Type: Predicted Year: 1863 Ex: 1.961230","Age: 108 ex_fr_female$Type: Predicted Year: 1864 Ex: 1.939031","Age: 108 ex_fr_female$Type: Predicted Year: 1865 Ex: 1.882346","Age: 108 ex_fr_female$Type: Predicted Year: 1866 Ex: 1.942145","Age: 108 ex_fr_female$Type: Predicted Year: 1867 Ex: 1.912314","Age: 108 ex_fr_female$Type: Predicted Year: 1868 Ex: 1.907098","Age: 108 ex_fr_female$Type: Predicted Year: 1869 Ex: 1.920691","Age: 108 ex_fr_female$Type: Predicted Year: 1870 Ex: 1.846877","Age: 108 ex_fr_female$Type: Predicted Year: 1871 Ex: 1.757889","Age: 108 ex_fr_female$Type: Predicted Year: 1872 Ex: 1.989031","Age: 108 ex_fr_female$Type: Predicted Year: 1873 Ex: 1.864329","Age: 108 ex_fr_female$Type: Predicted Year: 1874 Ex: 1.894771","Age: 108 ex_fr_female$Type: Predicted Year: 1875 Ex: 1.862954","Age: 108 ex_fr_female$Type: Predicted Year: 1876 Ex: 1.856813","Age: 108 ex_fr_female$Type: Predicted Year: 1877 Ex: 1.834813","Age: 108 ex_fr_female$Type: Predicted Year: 1878 Ex: 1.841462","Age: 108 ex_fr_female$Type: Predicted Year: 1879 Ex: 1.764754","Age: 108 ex_fr_female$Type: Predicted Year: 1880 Ex: 1.923129","Age: 108 ex_fr_female$Type: Predicted Year: 1881 Ex: 2.017324","Age: 108 ex_fr_female$Type: Predicted Year: 1882 Ex: 1.960843","Age: 108 ex_fr_female$Type: Predicted Year: 1883 Ex: 1.841424","Age: 108 ex_fr_female$Type: Predicted Year: 1884 Ex: 1.912265","Age: 108 ex_fr_female$Type: Predicted Year: 1885 Ex: 1.823790","Age: 108 ex_fr_female$Type: Predicted Year: 1886 Ex: 1.803249","Age: 108 ex_fr_female$Type: Predicted Year: 1887 Ex: 1.828047","Age: 108 ex_fr_female$Type: Predicted Year: 1888 Ex: 1.824242","Age: 108 ex_fr_female$Type: Predicted Year: 1889 Ex: 1.898494","Age: 108 ex_fr_female$Type: Predicted Year: 1890 Ex: 1.827056","Age: 108 ex_fr_female$Type: Predicted Year: 1891 Ex: 1.747226","Age: 108 ex_fr_female$Type: Predicted Year: 1892 Ex: 1.765539","Age: 108 ex_fr_female$Type: Predicted Year: 1893 Ex: 1.758829","Age: 108 ex_fr_female$Type: Predicted Year: 1894 Ex: 1.755022","Age: 108 ex_fr_female$Type: Predicted Year: 1895 Ex: 1.706197","Age: 108 ex_fr_female$Type: Predicted Year: 1896 Ex: 1.799622","Age: 108 ex_fr_female$Type: Predicted Year: 1897 Ex: 1.936473","Age: 108 ex_fr_female$Type: Predicted Year: 1898 Ex: 1.840533","Age: 108 ex_fr_female$Type: Predicted Year: 1899 Ex: 1.768256","Age: 108 ex_fr_female$Type: Predicted Year: 1900 Ex: 1.784782","Age: 108 ex_fr_female$Type: Predicted Year: 1901 Ex: 1.813621","Age: 108 ex_fr_female$Type: Predicted Year: 1902 Ex: 1.822383","Age: 108 ex_fr_female$Type: Predicted Year: 1903 Ex: 1.829859","Age: 108 ex_fr_female$Type: Predicted Year: 1904 Ex: 1.788969","Age: 108 ex_fr_female$Type: Predicted Year: 1905 Ex: 1.741714","Age: 108 ex_fr_female$Type: Predicted Year: 1906 Ex: 1.740157","Age: 108 ex_fr_female$Type: Predicted Year: 1907 Ex: 1.783730","Age: 108 ex_fr_female$Type: Predicted Year: 1908 Ex: 1.821548","Age: 108 ex_fr_female$Type: Predicted Year: 1909 Ex: 1.790199","Age: 108 ex_fr_female$Type: Predicted Year: 1910 Ex: 1.817418","Age: 108 ex_fr_female$Type: Predicted Year: 1911 Ex: 1.716559","Age: 108 ex_fr_female$Type: Predicted Year: 1912 Ex: 1.847834","Age: 108 ex_fr_female$Type: Predicted Year: 1913 Ex: 1.848566","Age: 108 ex_fr_female$Type: Predicted Year: 1914 Ex: 1.738340","Age: 108 ex_fr_female$Type: Predicted Year: 1915 Ex: 1.785735","Age: 108 ex_fr_female$Type: Predicted Year: 1916 Ex: 1.755138","Age: 108 ex_fr_female$Type: Predicted Year: 1917 Ex: 1.711624","Age: 108 ex_fr_female$Type: Predicted Year: 1918 Ex: 1.745006","Age: 108 ex_fr_female$Type: Predicted Year: 1919 Ex: 1.704569","Age: 108 ex_fr_female$Type: Predicted Year: 1920 Ex: 1.822029","Age: 108 ex_fr_female$Type: Predicted Year: 1921 Ex: 1.779293","Age: 108 ex_fr_female$Type: Predicted Year: 1922 Ex: 1.748018","Age: 108 ex_fr_female$Type: Predicted Year: 1923 Ex: 1.805472","Age: 108 ex_fr_female$Type: Predicted Year: 1924 Ex: 1.810608","Age: 108 ex_fr_female$Type: Predicted Year: 1925 Ex: 1.736482","Age: 108 ex_fr_female$Type: Predicted Year: 1926 Ex: 1.775621","Age: 108 ex_fr_female$Type: Predicted Year: 1927 Ex: 1.760714","Age: 108 ex_fr_female$Type: Predicted Year: 1928 Ex: 1.759144","Age: 108 ex_fr_female$Type: Predicted Year: 1929 Ex: 1.699578","Age: 108 ex_fr_female$Type: Predicted Year: 1930 Ex: 1.872700","Age: 108 ex_fr_female$Type: Predicted Year: 1931 Ex: 1.744754","Age: 108 ex_fr_female$Type: Predicted Year: 1932 Ex: 1.765931","Age: 108 ex_fr_female$Type: Predicted Year: 1933 Ex: 1.740470","Age: 108 ex_fr_female$Type: Predicted Year: 1934 Ex: 1.846027","Age: 108 ex_fr_female$Type: Predicted Year: 1935 Ex: 1.770977","Age: 108 ex_fr_female$Type: Predicted Year: 1936 Ex: 1.807118","Age: 108 ex_fr_female$Type: Predicted Year: 1937 Ex: 1.799781","Age: 108 ex_fr_female$Type: Predicted Year: 1938 Ex: 1.784382","Age: 108 ex_fr_female$Type: Predicted Year: 1939 Ex: 1.766717","Age: 108 ex_fr_female$Type: Predicted Year: 1940 Ex: 1.623762","Age: 108 ex_fr_female$Type: Predicted Year: 1941 Ex: 1.702071","Age: 108 ex_fr_female$Type: Predicted Year: 1942 Ex: 1.699444","Age: 108 ex_fr_female$Type: Predicted Year: 1943 Ex: 1.729623","Age: 108 ex_fr_female$Type: Predicted Year: 1944 Ex: 1.670917","Age: 108 ex_fr_female$Type: Predicted Year: 1945 Ex: 1.738374","Age: 108 ex_fr_female$Type: Predicted Year: 1946 Ex: 1.833240","Age: 108 ex_fr_female$Type: Predicted Year: 1947 Ex: 1.869459","Age: 108 ex_fr_female$Type: Predicted Year: 1948 Ex: 1.944752","Age: 108 ex_fr_female$Type: Predicted Year: 1949 Ex: 1.786968","Age: 108 ex_fr_female$Type: Predicted Year: 1950 Ex: 1.845423","Age: 108 ex_fr_female$Type: Predicted Year: 1951 Ex: 1.757815","Age: 108 ex_fr_female$Type: Predicted Year: 1952 Ex: 1.830591","Age: 108 ex_fr_female$Type: Predicted Year: 1953 Ex: 1.752508","Age: 108 ex_fr_female$Type: Predicted Year: 1954 Ex: 1.840384","Age: 108 ex_fr_female$Type: Predicted Year: 1955 Ex: 1.817543","Age: 108 ex_fr_female$Type: Predicted Year: 1956 Ex: 1.762664","Age: 108 ex_fr_female$Type: Predicted Year: 1957 Ex: 1.790536","Age: 108 ex_fr_female$Type: Predicted Year: 1958 Ex: 1.838945","Age: 108 ex_fr_female$Type: Predicted Year: 1959 Ex: 1.836574","Age: 108 ex_fr_female$Type: Predicted Year: 1960 Ex: 1.802256","Age: 108 ex_fr_female$Type: Predicted Year: 1961 Ex: 1.862664","Age: 108 ex_fr_female$Type: Predicted Year: 1962 Ex: 1.801637","Age: 108 ex_fr_female$Type: Predicted Year: 1963 Ex: 1.781850","Age: 108 ex_fr_female$Type: Predicted Year: 1964 Ex: 1.869266","Age: 108 ex_fr_female$Type: Predicted Year: 1965 Ex: 1.837537","Age: 108 ex_fr_female$Type: Predicted Year: 1966 Ex: 1.875330","Age: 108 ex_fr_female$Type: Predicted Year: 1967 Ex: 1.851157","Age: 108 ex_fr_female$Type: Predicted Year: 1968 Ex: 1.831035","Age: 108 ex_fr_female$Type: Predicted Year: 1969 Ex: 1.857513","Age: 108 ex_fr_female$Type: Predicted Year: 1970 Ex: 1.857121","Age: 108 ex_fr_female$Type: Predicted Year: 1971 Ex: 1.819575","Age: 108 ex_fr_female$Type: Predicted Year: 1972 Ex: 1.876621","Age: 108 ex_fr_female$Type: Predicted Year: 1973 Ex: 1.847724","Age: 108 ex_fr_female$Type: Predicted Year: 1974 Ex: 1.847685","Age: 108 ex_fr_female$Type: Predicted Year: 1975 Ex: 1.843475","Age: 108 ex_fr_female$Type: Predicted Year: 1976 Ex: 1.836350","Age: 108 ex_fr_female$Type: Predicted Year: 1977 Ex: 1.885024","Age: 108 ex_fr_female$Type: Predicted Year: 1978 Ex: 1.882468","Age: 108 ex_fr_female$Type: Predicted Year: 1979 Ex: 1.892433","Age: 108 ex_fr_female$Type: Predicted Year: 1980 Ex: 1.858838","Age: 108 ex_fr_female$Type: Predicted Year: 1981 Ex: 1.846636","Age: 108 ex_fr_female$Type: Predicted Year: 1982 Ex: 1.884559","Age: 108 ex_fr_female$Type: Predicted Year: 1983 Ex: 1.839234","Age: 108 ex_fr_female$Type: Predicted Year: 1984 Ex: 1.882200","Age: 108 ex_fr_female$Type: Predicted Year: 1985 Ex: 1.859222","Age: 108 ex_fr_female$Type: Predicted Year: 1986 Ex: 1.862458","Age: 108 ex_fr_female$Type: Predicted Year: 1987 Ex: 1.904958","Age: 108 ex_fr_female$Type: Predicted Year: 1988 Ex: 1.905796","Age: 108 ex_fr_female$Type: Predicted Year: 1989 Ex: 1.869858","Age: 108 ex_fr_female$Type: Predicted Year: 1990 Ex: 1.868353","Age: 108 ex_fr_female$Type: Predicted Year: 1991 Ex: 1.894074","Age: 108 ex_fr_female$Type: Predicted Year: 1992 Ex: 1.898545","Age: 108 ex_fr_female$Type: Predicted Year: 1993 Ex: 1.883040","Age: 108 ex_fr_female$Type: Predicted Year: 1994 Ex: 1.918473","Age: 108 ex_fr_female$Type: Predicted Year: 1995 Ex: 1.888562","Age: 108 ex_fr_female$Type: Predicted Year: 1996 Ex: 1.883078","Age: 108 ex_fr_female$Type: Predicted Year: 1997 Ex: 1.888629","Age: 108 ex_fr_female$Type: Predicted Year: 1998 Ex: 1.887197","Age: 108 ex_fr_female$Type: Predicted Year: 1999 Ex: 1.884692","Age: 108 ex_fr_female$Type: Predicted Year: 2000 Ex: 1.895256","Age: 108 ex_fr_female$Type: Predicted Year: 2001 Ex: 1.894668","Age: 108 ex_fr_female$Type: Predicted Year: 2002 Ex: 1.889843","Age: 108 ex_fr_female$Type: Predicted Year: 2003 Ex: 1.837279","Age: 108 ex_fr_female$Type: Predicted Year: 2004 Ex: 1.952137","Age: 108 ex_fr_female$Type: Predicted Year: 2005 Ex: 1.911502","Age: 108 ex_fr_female$Type: Predicted Year: 2006 Ex: 1.955484","Age: 108 ex_fr_female$Type: Predicted Year: 2007 Ex: 1.956441","Age: 108 ex_fr_female$Type: Predicted Year: 2008 Ex: 1.934532","Age: 108 ex_fr_female$Type: Predicted Year: 2009 Ex: 1.931701","Age: 108 ex_fr_female$Type: Predicted Year: 2010 Ex: 1.940113","Age: 108 ex_fr_female$Type: Predicted Year: 2011 Ex: 1.951580","Age: 108 ex_fr_female$Type: Predicted Year: 2012 Ex: 1.892126","Age: 108 ex_fr_female$Type: Predicted Year: 2013 Ex: 1.908270","Age: 108 ex_fr_female$Type: Predicted Year: 2014 Ex: 1.950999","Age: 108 ex_fr_female$Type: Predicted Year: 2015 Ex: 1.880452","Age: 108 ex_fr_female$Type: Predicted Year: 2016 Ex: 1.898738","Age: 108 ex_fr_female$Type: Predicted Year: 2017 Ex: 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Observed Year: 1926 Ex: 1.250000","Age: 109 ex_fr_female$Type: Observed Year: 1927 Ex: 1.240000","Age: 109 ex_fr_female$Type: Observed Year: 1928 Ex: 1.230000","Age: 109 ex_fr_female$Type: Observed Year: 1929 Ex: 1.180000","Age: 109 ex_fr_female$Type: Observed Year: 1930 Ex: 1.340000","Age: 109 ex_fr_female$Type: Observed Year: 1931 Ex: 1.220000","Age: 109 ex_fr_female$Type: Observed Year: 1932 Ex: 1.240000","Age: 109 ex_fr_female$Type: Observed Year: 1933 Ex: 1.220000","Age: 109 ex_fr_female$Type: Observed Year: 1934 Ex: 1.320000","Age: 109 ex_fr_female$Type: Observed Year: 1935 Ex: 1.250000","Age: 109 ex_fr_female$Type: Observed Year: 1936 Ex: 1.280000","Age: 109 ex_fr_female$Type: Observed Year: 1937 Ex: 1.270000","Age: 109 ex_fr_female$Type: Observed Year: 1938 Ex: 1.260000","Age: 109 ex_fr_female$Type: Observed Year: 1939 Ex: 1.240000","Age: 109 ex_fr_female$Type: Observed Year: 1940 Ex: 1.110000","Age: 109 ex_fr_female$Type: Observed Year: 1941 Ex: 1.180000","Age: 109 ex_fr_female$Type: Observed Year: 1942 Ex: 1.180000","Age: 109 ex_fr_female$Type: Observed Year: 1943 Ex: 1.210000","Age: 109 ex_fr_female$Type: Observed Year: 1944 Ex: 1.150000","Age: 109 ex_fr_female$Type: Observed Year: 1945 Ex: 1.220000","Age: 109 ex_fr_female$Type: Observed Year: 1946 Ex: 1.300000","Age: 109 ex_fr_female$Type: Observed Year: 1947 Ex: 1.340000","Age: 109 ex_fr_female$Type: Observed Year: 1948 Ex: 1.410000","Age: 109 ex_fr_female$Type: Observed Year: 1949 Ex: 1.260000","Age: 109 ex_fr_female$Type: Observed Year: 1950 Ex: 1.310000","Age: 109 ex_fr_female$Type: Observed Year: 1951 Ex: 1.230000","Age: 109 ex_fr_female$Type: Observed Year: 1952 Ex: 1.300000","Age: 109 ex_fr_female$Type: Observed Year: 1953 Ex: 1.230000","Age: 109 ex_fr_female$Type: Observed Year: 1954 Ex: 1.310000","Age: 109 ex_fr_female$Type: Observed Year: 1955 Ex: 1.290000","Age: 109 ex_fr_female$Type: Observed Year: 1956 Ex: 1.240000","Age: 109 ex_fr_female$Type: Observed Year: 1957 Ex: 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1973 Ex: 1.310000","Age: 109 ex_fr_female$Type: Observed Year: 1974 Ex: 1.310000","Age: 109 ex_fr_female$Type: Observed Year: 1975 Ex: 1.310000","Age: 109 ex_fr_female$Type: Observed Year: 1976 Ex: 1.300000","Age: 109 ex_fr_female$Type: Observed Year: 1977 Ex: 1.340000","Age: 109 ex_fr_female$Type: Observed Year: 1978 Ex: 1.340000","Age: 109 ex_fr_female$Type: Observed Year: 1979 Ex: 1.350000","Age: 109 ex_fr_female$Type: Observed Year: 1980 Ex: 1.320000","Age: 109 ex_fr_female$Type: Observed Year: 1981 Ex: 1.310000","Age: 109 ex_fr_female$Type: Observed Year: 1982 Ex: 1.340000","Age: 109 ex_fr_female$Type: Observed Year: 1983 Ex: 1.300000","Age: 109 ex_fr_female$Type: Observed Year: 1984 Ex: 1.340000","Age: 109 ex_fr_female$Type: Observed Year: 1985 Ex: 1.320000","Age: 109 ex_fr_female$Type: Observed Year: 1986 Ex: 1.320000","Age: 109 ex_fr_female$Type: Observed Year: 1987 Ex: 1.360000","Age: 109 ex_fr_female$Type: Observed Year: 1988 Ex: 1.360000","Age: 109 ex_fr_female$Type: 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1831 Ex: 2.255453","Age: 109 ex_fr_female$Type: Predicted Year: 1832 Ex: 2.300966","Age: 109 ex_fr_female$Type: Predicted Year: 1833 Ex: 2.405639","Age: 109 ex_fr_female$Type: Predicted Year: 1834 Ex: 2.363787","Age: 109 ex_fr_female$Type: Predicted Year: 1835 Ex: 2.277178","Age: 109 ex_fr_female$Type: Predicted Year: 1836 Ex: 2.331057","Age: 109 ex_fr_female$Type: Predicted Year: 1837 Ex: 2.183740","Age: 109 ex_fr_female$Type: Predicted Year: 1838 Ex: 2.351005","Age: 109 ex_fr_female$Type: Predicted Year: 1839 Ex: 2.479544","Age: 109 ex_fr_female$Type: Predicted Year: 1840 Ex: 2.186748","Age: 109 ex_fr_female$Type: Predicted Year: 1841 Ex: 2.255503","Age: 109 ex_fr_female$Type: Predicted Year: 1842 Ex: 2.248555","Age: 109 ex_fr_female$Type: Predicted Year: 1843 Ex: 2.261932","Age: 109 ex_fr_female$Type: Predicted Year: 1844 Ex: 2.257438","Age: 109 ex_fr_female$Type: Predicted Year: 1845 Ex: 2.333014","Age: 109 ex_fr_female$Type: Predicted Year: 1846 Ex: 2.049894","Age: 109 ex_fr_female$Type: Predicted Year: 1847 Ex: 2.002483","Age: 109 ex_fr_female$Type: Predicted Year: 1848 Ex: 2.113048","Age: 109 ex_fr_female$Type: Predicted Year: 1849 Ex: 2.117836","Age: 109 ex_fr_female$Type: Predicted Year: 1850 Ex: 2.176042","Age: 109 ex_fr_female$Type: Predicted Year: 1851 Ex: 2.030168","Age: 109 ex_fr_female$Type: Predicted Year: 1852 Ex: 2.068637","Age: 109 ex_fr_female$Type: Predicted Year: 1853 Ex: 1.930390","Age: 109 ex_fr_female$Type: Predicted Year: 1854 Ex: 1.915269","Age: 109 ex_fr_female$Type: Predicted Year: 1855 Ex: 1.790574","Age: 109 ex_fr_female$Type: Predicted Year: 1856 Ex: 1.862197","Age: 109 ex_fr_female$Type: Predicted Year: 1857 Ex: 1.860050","Age: 109 ex_fr_female$Type: Predicted Year: 1858 Ex: 1.855838","Age: 109 ex_fr_female$Type: Predicted Year: 1859 Ex: 1.895160","Age: 109 ex_fr_female$Type: Predicted Year: 1860 Ex: 1.959900","Age: 109 ex_fr_female$Type: Predicted Year: 1861 Ex: 1.942162","Age: 109 ex_fr_female$Type: Predicted Year: 1862 Ex: 1.940466","Age: 109 ex_fr_female$Type: Predicted Year: 1863 Ex: 1.945071","Age: 109 ex_fr_female$Type: Predicted Year: 1864 Ex: 1.923595","Age: 109 ex_fr_female$Type: Predicted Year: 1865 Ex: 1.867762","Age: 109 ex_fr_female$Type: Predicted Year: 1866 Ex: 1.926374","Age: 109 ex_fr_female$Type: Predicted Year: 1867 Ex: 1.897209","Age: 109 ex_fr_female$Type: Predicted Year: 1868 Ex: 1.892327","Age: 109 ex_fr_female$Type: Predicted Year: 1869 Ex: 1.905597","Age: 109 ex_fr_female$Type: Predicted Year: 1870 Ex: 1.833920","Age: 109 ex_fr_female$Type: Predicted Year: 1871 Ex: 1.746664","Age: 109 ex_fr_female$Type: Predicted Year: 1872 Ex: 1.971842","Age: 109 ex_fr_female$Type: Predicted Year: 1873 Ex: 1.849899","Age: 109 ex_fr_female$Type: Predicted Year: 1874 Ex: 1.879240","Age: 109 ex_fr_female$Type: Predicted Year: 1875 Ex: 1.848668","Age: 109 ex_fr_female$Type: Predicted Year: 1876 Ex: 1.842367","Age: 109 ex_fr_female$Type: Predicted Year: 1877 Ex: 1.820532","Age: 109 ex_fr_female$Type: Predicted Year: 1878 Ex: 1.827619","Age: 109 ex_fr_female$Type: Predicted Year: 1879 Ex: 1.752725","Age: 109 ex_fr_female$Type: Predicted Year: 1880 Ex: 1.907996","Age: 109 ex_fr_female$Type: Predicted Year: 1881 Ex: 2.000480","Age: 109 ex_fr_female$Type: Predicted Year: 1882 Ex: 1.944579","Age: 109 ex_fr_female$Type: Predicted Year: 1883 Ex: 1.827151","Age: 109 ex_fr_female$Type: Predicted Year: 1884 Ex: 1.896741","Age: 109 ex_fr_female$Type: Predicted Year: 1885 Ex: 1.809627","Age: 109 ex_fr_female$Type: Predicted Year: 1886 Ex: 1.789517","Age: 109 ex_fr_female$Type: Predicted Year: 1887 Ex: 1.813631","Age: 109 ex_fr_female$Type: Predicted Year: 1888 Ex: 1.810315","Age: 109 ex_fr_female$Type: Predicted Year: 1889 Ex: 1.882778","Age: 109 ex_fr_female$Type: Predicted Year: 1890 Ex: 1.813401","Age: 109 ex_fr_female$Type: Predicted Year: 1891 Ex: 1.735478","Age: 109 ex_fr_female$Type: Predicted Year: 1892 Ex: 1.753463","Age: 109 ex_fr_female$Type: Predicted Year: 1893 Ex: 1.746755","Age: 109 ex_fr_female$Type: Predicted Year: 1894 Ex: 1.742737","Age: 109 ex_fr_female$Type: Predicted Year: 1895 Ex: 1.695662","Age: 109 ex_fr_female$Type: Predicted Year: 1896 Ex: 1.785938","Age: 109 ex_fr_female$Type: Predicted Year: 1897 Ex: 1.920270","Age: 109 ex_fr_female$Type: Predicted Year: 1898 Ex: 1.826584","Age: 109 ex_fr_female$Type: Predicted Year: 1899 Ex: 1.755803","Age: 109 ex_fr_female$Type: Predicted Year: 1900 Ex: 1.772421","Age: 109 ex_fr_female$Type: Predicted Year: 1901 Ex: 1.800018","Age: 109 ex_fr_female$Type: Predicted Year: 1902 Ex: 1.808318","Age: 109 ex_fr_female$Type: Predicted Year: 1903 Ex: 1.815838","Age: 109 ex_fr_female$Type: Predicted Year: 1904 Ex: 1.775978","Age: 109 ex_fr_female$Type: Predicted Year: 1905 Ex: 1.729864","Age: 109 ex_fr_female$Type: Predicted Year: 1906 Ex: 1.728280","Age: 109 ex_fr_female$Type: Predicted Year: 1907 Ex: 1.771103","Age: 109 ex_fr_female$Type: Predicted Year: 1908 Ex: 1.807534","Age: 109 ex_fr_female$Type: Predicted Year: 1909 Ex: 1.777335","Age: 109 ex_fr_female$Type: Predicted Year: 1910 Ex: 1.803329","Age: 109 ex_fr_female$Type: Predicted Year: 1911 Ex: 1.705524","Age: 109 ex_fr_female$Type: Predicted Year: 1912 Ex: 1.832811","Age: 109 ex_fr_female$Type: Predicted Year: 1913 Ex: 1.833651","Age: 109 ex_fr_female$Type: Predicted Year: 1914 Ex: 1.726639","Age: 109 ex_fr_female$Type: Predicted Year: 1915 Ex: 1.772704","Age: 109 ex_fr_female$Type: Predicted Year: 1916 Ex: 1.742919","Age: 109 ex_fr_female$Type: Predicted Year: 1917 Ex: 1.700825","Age: 109 ex_fr_female$Type: Predicted Year: 1918 Ex: 1.733102","Age: 109 ex_fr_female$Type: Predicted Year: 1919 Ex: 1.693824","Age: 109 ex_fr_female$Type: Predicted Year: 1920 Ex: 1.807501","Age: 109 ex_fr_female$Type: Predicted Year: 1921 Ex: 1.765880","Age: 109 ex_fr_female$Type: Predicted Year: 1922 Ex: 1.735780","Age: 109 ex_fr_female$Type: Predicted Year: 1923 Ex: 1.791216","Age: 109 ex_fr_female$Type: Predicted Year: 1924 Ex: 1.796429","Age: 109 ex_fr_female$Type: Predicted Year: 1925 Ex: 1.724435","Age: 109 ex_fr_female$Type: Predicted Year: 1926 Ex: 1.762487","Age: 109 ex_fr_female$Type: Predicted Year: 1927 Ex: 1.747946","Age: 109 ex_fr_female$Type: Predicted Year: 1928 Ex: 1.746145","Age: 109 ex_fr_female$Type: Predicted Year: 1929 Ex: 1.688989","Age: 109 ex_fr_female$Type: Predicted Year: 1930 Ex: 1.856424","Age: 109 ex_fr_female$Type: Predicted Year: 1931 Ex: 1.732382","Age: 109 ex_fr_female$Type: Predicted Year: 1932 Ex: 1.752572","Age: 109 ex_fr_female$Type: Predicted Year: 1933 Ex: 1.727921","Age: 109 ex_fr_female$Type: Predicted Year: 1934 Ex: 1.830262","Age: 109 ex_fr_female$Type: Predicted Year: 1935 Ex: 1.757407","Age: 109 ex_fr_female$Type: Predicted Year: 1936 Ex: 1.792468","Age: 109 ex_fr_female$Type: Predicted Year: 1937 Ex: 1.784981","Age: 109 ex_fr_female$Type: Predicted Year: 1938 Ex: 1.770287","Age: 109 ex_fr_female$Type: Predicted Year: 1939 Ex: 1.753309","Age: 109 ex_fr_female$Type: Predicted Year: 1940 Ex: 1.616005","Age: 109 ex_fr_female$Type: Predicted Year: 1941 Ex: 1.690903","Age: 109 ex_fr_female$Type: Predicted Year: 1942 Ex: 1.688362","Age: 109 ex_fr_female$Type: Predicted Year: 1943 Ex: 1.717475","Age: 109 ex_fr_female$Type: Predicted Year: 1944 Ex: 1.661185","Age: 109 ex_fr_female$Type: Predicted Year: 1945 Ex: 1.725923","Age: 109 ex_fr_female$Type: Predicted Year: 1946 Ex: 1.817323","Age: 109 ex_fr_female$Type: Predicted Year: 1947 Ex: 1.852504","Age: 109 ex_fr_female$Type: Predicted Year: 1948 Ex: 1.925595","Age: 109 ex_fr_female$Type: Predicted Year: 1949 Ex: 1.772641","Age: 109 ex_fr_female$Type: Predicted Year: 1950 Ex: 1.828889","Age: 109 ex_fr_female$Type: Predicted Year: 1951 Ex: 1.744166","Age: 109 ex_fr_female$Type: Predicted Year: 1952 Ex: 1.814289","Age: 109 ex_fr_female$Type: Predicted Year: 1953 Ex: 1.738949","Age: 109 ex_fr_female$Type: Predicted Year: 1954 Ex: 1.823620","Age: 109 ex_fr_female$Type: Predicted Year: 1955 Ex: 1.801510","Age: 109 ex_fr_female$Type: Predicted Year: 1956 Ex: 1.748466","Age: 109 ex_fr_female$Type: Predicted Year: 1957 Ex: 1.775095","Age: 109 ex_fr_female$Type: Predicted Year: 1958 Ex: 1.821925","Age: 109 ex_fr_female$Type: Predicted Year: 1959 Ex: 1.819538","Age: 109 ex_fr_female$Type: Predicted Year: 1960 Ex: 1.786288","Age: 109 ex_fr_female$Type: Predicted Year: 1961 Ex: 1.844508","Age: 109 ex_fr_female$Type: Predicted Year: 1962 Ex: 1.785746","Age: 109 ex_fr_female$Type: Predicted Year: 1963 Ex: 1.766597","Age: 109 ex_fr_female$Type: Predicted Year: 1964 Ex: 1.850858","Age: 109 ex_fr_female$Type: Predicted Year: 1965 Ex: 1.820234","Age: 109 ex_fr_female$Type: Predicted Year: 1966 Ex: 1.856631","Age: 109 ex_fr_female$Type: Predicted Year: 1967 Ex: 1.833181","Age: 109 ex_fr_female$Type: Predicted Year: 1968 Ex: 1.813664","Age: 109 ex_fr_female$Type: Predicted Year: 1969 Ex: 1.839317","Age: 109 ex_fr_female$Type: Predicted Year: 1970 Ex: 1.838641","Age: 109 ex_fr_female$Type: Predicted Year: 1971 Ex: 1.802224","Age: 109 ex_fr_female$Type: Predicted Year: 1972 Ex: 1.857424","Age: 109 ex_fr_female$Type: Predicted Year: 1973 Ex: 1.829458","Age: 109 ex_fr_female$Type: Predicted Year: 1974 Ex: 1.829190","Age: 109 ex_fr_female$Type: Predicted Year: 1975 Ex: 1.825117","Age: 109 ex_fr_female$Type: Predicted Year: 1976 Ex: 1.818050","Age: 109 ex_fr_female$Type: Predicted Year: 1977 Ex: 1.864871","Age: 109 ex_fr_female$Type: Predicted Year: 1978 Ex: 1.862510","Age: 109 ex_fr_female$Type: Predicted Year: 1979 Ex: 1.871993","Age: 109 ex_fr_female$Type: Predicted Year: 1980 Ex: 1.839283","Age: 109 ex_fr_female$Type: Predicted Year: 1981 Ex: 1.827552","Age: 109 ex_fr_female$Type: Predicted Year: 1982 Ex: 1.864002","Age: 109 ex_fr_female$Type: Predicted Year: 1983 Ex: 1.820201","Age: 109 ex_fr_female$Type: Predicted Year: 1984 Ex: 1.861469","Age: 109 ex_fr_female$Type: Predicted Year: 1985 Ex: 1.839216","Age: 109 ex_fr_female$Type: Predicted Year: 1986 Ex: 1.842163","Age: 109 ex_fr_female$Type: Predicted Year: 1987 Ex: 1.882885","Age: 109 ex_fr_female$Type: Predicted Year: 1988 Ex: 1.883487","Age: 109 ex_fr_female$Type: Predicted Year: 1989 Ex: 1.848566","Age: 109 ex_fr_female$Type: Predicted Year: 1990 Ex: 1.846893","Age: 109 ex_fr_female$Type: Predicted Year: 1991 Ex: 1.871608","Age: 109 ex_fr_female$Type: Predicted Year: 1992 Ex: 1.875645","Age: 109 ex_fr_female$Type: Predicted Year: 1993 Ex: 1.860673","Age: 109 ex_fr_female$Type: Predicted Year: 1994 Ex: 1.894549","Age: 109 ex_fr_female$Type: Predicted Year: 1995 Ex: 1.865602","Age: 109 ex_fr_female$Type: Predicted Year: 1996 Ex: 1.860257","Age: 109 ex_fr_female$Type: Predicted Year: 1997 Ex: 1.865463","Age: 109 ex_fr_female$Type: Predicted Year: 1998 Ex: 1.864037","Age: 109 ex_fr_female$Type: Predicted Year: 1999 Ex: 1.861643","Age: 109 ex_fr_female$Type: Predicted Year: 2000 Ex: 1.871608","Age: 109 ex_fr_female$Type: Predicted Year: 2001 Ex: 1.870837","Age: 109 ex_fr_female$Type: Predicted Year: 2002 Ex: 1.866159","Age: 109 ex_fr_female$Type: Predicted Year: 2003 Ex: 1.815640","Age: 109 ex_fr_female$Type: Predicted Year: 2004 Ex: 1.925632","Age: 109 ex_fr_female$Type: Predicted Year: 2005 Ex: 1.886508","Age: 109 ex_fr_female$Type: Predicted Year: 2006 Ex: 1.928603","Age: 109 ex_fr_female$Type: Predicted Year: 2007 Ex: 1.929422","Age: 109 ex_fr_female$Type: Predicted Year: 2008 Ex: 1.908178","Age: 109 ex_fr_female$Type: Predicted Year: 2009 Ex: 1.905379","Age: 109 ex_fr_female$Type: Predicted Year: 2010 Ex: 1.913290","Age: 109 ex_fr_female$Type: Predicted Year: 2011 Ex: 1.924002","Age: 109 ex_fr_female$Type: Predicted Year: 2012 Ex: 1.866821","Age: 109 ex_fr_female$Type: Predicted Year: 2013 Ex: 1.882140","Age: 109 ex_fr_female$Type: Predicted Year: 2014 Ex: 1.922929","Age: 109 ex_fr_female$Type: Predicted Year: 2015 Ex: 1.855219","Age: 109 ex_fr_female$Type: Predicted Year: 2016 Ex: 1.872589","Age: 109 ex_fr_female$Type: Predicted Year: 2017 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